From f136f8cc6c7feade73466aeb6267500377089485 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Thu, 14 Apr 2022 16:43:19 -0700 Subject: [PATCH 01/87] fix: Update build_go_protos to use a consistent python path (#2550) Signed-off-by: Achal Shah --- sdk/python/setup.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/sdk/python/setup.py b/sdk/python/setup.py index cc883da95e3..dbecd26e2b7 100644 --- a/sdk/python/setup.py +++ b/sdk/python/setup.py @@ -17,6 +17,7 @@ import re import shutil import subprocess +import sys from distutils.cmd import Command from pathlib import Path from subprocess import CalledProcessError @@ -356,7 +357,8 @@ def _compile_embedded_lib(self): "-output", "feast/embedded_go/lib", "-vm", - "python3", + # Path of current python executable + sys.executable, "-no-make", "github.com/feast-dev/feast/go/embedded" ], env={ From 1e398d9089dc4674be73ea0869efb0aede50cd93 Mon Sep 17 00:00:00 2001 From: Kevin Zhang Date: Fri, 15 Apr 2022 06:58:22 -0700 Subject: [PATCH 02/87] fix: Addresses ZeroDivisionError when materializing file source with same timestamps (#2551) * Add docs for Go feature server Signed-off-by: Felix Wang * Update go feature server docs Signed-off-by: Kevin Zhang * Address review components Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Revert Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Update comment Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Revert indent Signed-off-by: Kevin Zhang * fix comment Signed-off-by: Kevin Zhang Co-authored-by: Felix Wang --- .../feature-servers/go-feature-retrieval.md | 2 +- sdk/python/feast/infra/offline_stores/file.py | 22 +++++++++++++++---- 2 files changed, 19 insertions(+), 5 deletions(-) diff --git a/docs/reference/feature-servers/go-feature-retrieval.md b/docs/reference/feature-servers/go-feature-retrieval.md index 999a142c07d..415817dd85e 100644 --- a/docs/reference/feature-servers/go-feature-retrieval.md +++ b/docs/reference/feature-servers/go-feature-retrieval.md @@ -10,7 +10,7 @@ The Go Feature Retrieval component currently only supports Redis and Sqlite as o ## Installation -As long as you are running macOS or linux x86 with python version 3.7-3.10, the go component comes pre-compiled when you run install feast. +As long as you are running macOS or linux, on x86, with python version 3.7-3.10, the go component comes pre-compiled when you install feast. For developers, if you want to build from source, run `make compile-go-lib` to build and compile the go server. diff --git a/sdk/python/feast/infra/offline_stores/file.py b/sdk/python/feast/infra/offline_stores/file.py index cb6e874f8a9..a7d8b25abfb 100644 --- a/sdk/python/feast/infra/offline_stores/file.py +++ b/sdk/python/feast/infra/offline_stores/file.py @@ -299,11 +299,25 @@ def evaluate_offline_job(): if created_timestamp_column else [event_timestamp_column] ) + # try-catch block is added to deal with this issue https://github.com/dask/dask/issues/8939. + # TODO(kevjumba): remove try catch when fix is merged upstream in Dask. + try: + if created_timestamp_column: + source_df = source_df.sort_values(by=created_timestamp_column,) + + source_df = source_df.sort_values(by=event_timestamp_column) + + except ZeroDivisionError: + # Use 1 partition to get around case where everything in timestamp column is the same so the partition algorithm doesn't + # try to divide by zero. + if created_timestamp_column: + source_df = source_df.sort_values( + by=created_timestamp_column, npartitions=1 + ) - if created_timestamp_column: - source_df = source_df.sort_values(by=created_timestamp_column) - - source_df = source_df.sort_values(by=event_timestamp_column) + source_df = source_df.sort_values( + by=event_timestamp_column, npartitions=1 + ) source_df = source_df[ (source_df[event_timestamp_column] >= start_date) From 753bd8894a6783bd6e39cbe4cf2df5d8e89919ff Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Fri, 15 Apr 2022 11:47:22 -0400 Subject: [PATCH 03/87] chore: Updating quickstart and fixing roadmap + broken links to old alpha docs (#2553) * chore: Updating quickstart and fixing trailing ) in roadmap + broken link to old alpha docs Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao --- README.md | 2 +- docs/SUMMARY.md | 1 - .../third-party-integrations.md | 2 +- docs/roadmap.md | 2 +- examples/quickstart/quickstart.ipynb | 411 +++++++++++------- sdk/python/feast/templates/aws/driver_repo.py | 6 +- sdk/python/feast/templates/gcp/driver_repo.py | 6 +- sdk/python/feast/templates/local/example.py | 6 +- .../feast/templates/snowflake/driver_repo.py | 4 +- sdk/python/feast/templates/spark/example.py | 12 +- .../tests/utils/online_write_benchmark.py | 2 +- 11 files changed, 275 insertions(+), 179 deletions(-) diff --git a/README.md b/README.md index b0cc61c91dc..af4df061752 100644 --- a/README.md +++ b/README.md @@ -148,7 +148,7 @@ The list below contains the functionality that contributors are planning to deve * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive) * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) * [x] [Spark (community plugin)](https://docs.feast.dev/reference/data-sources/spark) - * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push) + * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push)) * [ ] HTTP source * **Offline Stores** * [x] [Snowflake](https://docs.feast.dev/reference/offline-stores/snowflake) diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index e73996665e5..c6a3422ecd4 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -85,7 +85,6 @@ * [Go-based feature retrieval](reference/feature-servers/go-feature-retrieval.md) * [\[Alpha\] Data quality monitoring](reference/dqm.md) * [\[Alpha\] On demand feature view](reference/alpha-on-demand-feature-view.md) -* [\[Alpha\] Stream ingestion](reference/alpha-stream-ingestion.md) * [\[Alpha\] AWS Lambda feature server](reference/alpha-aws-lambda-feature-server.md) * [Feast CLI reference](reference/feast-cli-commands.md) * [Python API reference](http://rtd.feast.dev) diff --git a/docs/getting-started/third-party-integrations.md b/docs/getting-started/third-party-integrations.md index a731fd85dc3..0c233d7b692 100644 --- a/docs/getting-started/third-party-integrations.md +++ b/docs/getting-started/third-party-integrations.md @@ -21,7 +21,7 @@ Don't see your offline store or online store of choice here? Check out our guide * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive) * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) * [x] [Spark (community plugin)](https://docs.feast.dev/reference/data-sources/spark) -* [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push) +* [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push)) * [ ] HTTP source ### Offline Stores diff --git a/docs/roadmap.md b/docs/roadmap.md index 080cf16c02f..3eb181c0daf 100644 --- a/docs/roadmap.md +++ b/docs/roadmap.md @@ -16,7 +16,7 @@ The list below contains the functionality that contributors are planning to deve * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive) * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) * [x] [Spark (community plugin)](https://docs.feast.dev/reference/data-sources/spark) - * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push) + * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push)) * [ ] HTTP source * **Offline Stores** * [x] [Snowflake](https://docs.feast.dev/reference/offline-stores/snowflake) diff --git a/examples/quickstart/quickstart.ipynb b/examples/quickstart/quickstart.ipynb index 3679fcc7788..60974d27513 100644 --- a/examples/quickstart/quickstart.ipynb +++ b/examples/quickstart/quickstart.ipynb @@ -59,7 +59,7 @@ "base_uri": "https://localhost:8080/" }, "id": "rXNMAAJKQPG5", - "outputId": "b27420ac-c6ba-4d9f-cae8-51a2007b4189" + "outputId": "52297709-380b-4200-8e7c-3d0102a82ea4" }, "source": [ "%%sh\n", @@ -67,14 +67,14 @@ "pip install Pygments -q\n", "echo \"Please restart your runtime now (Runtime -> Restart runtime). This ensures that the correct dependencies are loaded.\"" ], - "execution_count": null, + "execution_count": 1, "outputs": [ { "output_type": "stream", + "name": "stdout", "text": [ "Please restart your runtime now (Runtime -> Restart runtime). This ensures that the correct dependencies are loaded.\n" - ], - "name": "stdout" + ] } ] }, @@ -112,22 +112,22 @@ "base_uri": "https://localhost:8080/" }, "id": "IhirSkgUvYau", - "outputId": "a2a5631e-1703-4957-b896-9c432851a261" + "outputId": "df90af1a-06bd-48a1-94e6-7def19e87d5f" }, "source": [ "!feast init feature_repo" ], - "execution_count": null, + "execution_count": 1, "outputs": [ { "output_type": "stream", + "name": "stdout", "text": [ "Feast is an open source project that collects anonymized error reporting and usage statistics. To opt out or learn more see https://docs.feast.dev/reference/usage\n", "\n", "Creating a new Feast repository in \u001b[1m\u001b[32m/content/feature_repo\u001b[0m.\n", "\n" - ], - "name": "stdout" + ] } ] }, @@ -155,25 +155,25 @@ "base_uri": "https://localhost:8080/" }, "id": "9jXuzt4ovzA3", - "outputId": "1ef1bf42-2306-4cc0-c959-1ea2d62e3149" + "outputId": "bff15f0c-9f8e-4a3c-e605-5ad84be30709" }, "source": [ "%cd feature_repo\n", "!ls -R" ], - "execution_count": null, + "execution_count": 2, "outputs": [ { "output_type": "stream", + "name": "stdout", "text": [ "/content/feature_repo\n", ".:\n", - "data example.py feature_store.yaml\n", + "data example.py feature_store.yaml __init__.py\n", "\n", "./data:\n", "driver_stats.parquet\n" - ], - "name": "stdout" + ] } ] }, @@ -192,8 +192,7 @@ "* gcp: use BigQuery/Snowflake with Google Cloud Datastore/Redis\n", "* aws: use Redshift/Snowflake with DynamoDB/Redis\n", "\n", - "Note that there are many other sources Feast works with, including Azure, Hive, Trino, and PostgreSQL via community plugins. See https://docs.feast.dev/getting-started/third-party-integrations for all supported datasources.", - "\n", + "Note that there are many other sources Feast works with, including Azure, Hive, Trino, and PostgreSQL via community plugins. See https://docs.feast.dev/getting-started/third-party-integrations for all supported datasources.\n", "A custom setup can also be made by following https://docs.feast.dev/v/master/how-to-guides/creating-a-custom-provider" ] }, @@ -204,23 +203,23 @@ "base_uri": "https://localhost:8080/" }, "id": "9_YJ--uYdtcP", - "outputId": "8d772619-aa4d-4cb4-e7e0-2ed45bc09a87" + "outputId": "89268e31-6be0-43fb-e576-6d335a2c1dd9" }, "source": [ "!pygmentize feature_store.yaml" ], - "execution_count": null, + "execution_count": 3, "outputs": [ { "output_type": "stream", + "name": "stdout", "text": [ - "project: feature_repo\n", - "registry: data/registry.db\n", - "provider: local\n", - "online_store:\n", - " path: data/online_store.db\n" - ], - "name": "stdout" + "\u001b[94mproject\u001b[39;49;00m: feature_repo\n", + "\u001b[94mregistry\u001b[39;49;00m: data/registry.db\n", + "\u001b[94mprovider\u001b[39;49;00m: local\n", + "\u001b[94monline_store\u001b[39;49;00m:\n", + " \u001b[94mpath\u001b[39;49;00m: data/online_store.db\n" + ] } ] }, @@ -240,23 +239,55 @@ "metadata": { "colab": { "base_uri": "https://localhost:8080/", - "height": 419 + "height": 424 }, "id": "sIF2lO59dwzi", - "outputId": "3e7ff19e-1052-49a6-a889-de76cce61714" + "outputId": "80e798d5-df21-4ebd-de1c-9bde282bd742" }, "source": [ "import pandas as pd\n", "\n", "pd.read_parquet(\"data/driver_stats.parquet\")" ], - "execution_count": null, + "execution_count": 4, "outputs": [ { "output_type": "execute_result", "data": { + "text/plain": [ + " event_timestamp driver_id conv_rate acc_rate \\\n", + "0 2022-03-31 14:00:00+00:00 1005 0.313336 0.231481 \n", + "1 2022-03-31 15:00:00+00:00 1005 0.959499 0.942614 \n", + "2 2022-03-31 16:00:00+00:00 1005 0.231786 0.313516 \n", + "3 2022-03-31 17:00:00+00:00 1005 0.886911 0.531613 \n", + "4 2022-03-31 18:00:00+00:00 1005 0.574945 0.718223 \n", + "... ... ... ... ... \n", + "1802 2022-04-15 12:00:00+00:00 1001 0.521622 0.266667 \n", + "1803 2022-04-15 13:00:00+00:00 1001 0.003188 0.535501 \n", + "1804 2021-04-12 07:00:00+00:00 1001 0.709081 0.823138 \n", + "1805 2022-04-08 02:00:00+00:00 1003 0.033297 0.053268 \n", + "1806 2022-04-08 02:00:00+00:00 1003 0.033297 0.053268 \n", + "\n", + " avg_daily_trips created \n", + "0 303 2022-04-15 14:34:10.056 \n", + "1 842 2022-04-15 14:34:10.056 \n", + "2 782 2022-04-15 14:34:10.056 \n", + "3 634 2022-04-15 14:34:10.056 \n", + "4 441 2022-04-15 14:34:10.056 \n", + "... ... ... \n", + "1802 406 2022-04-15 14:34:10.056 \n", + "1803 593 2022-04-15 14:34:10.056 \n", + "1804 997 2022-04-15 14:34:10.056 \n", + "1805 534 2022-04-15 14:34:10.056 \n", + "1806 534 2022-04-15 14:34:10.056 \n", + "\n", + "[1807 rows x 6 columns]" + ], "text/html": [ - "
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\n", + " " ] }, "metadata": {}, - "execution_count": 5 + "execution_count": 4 } ] }, @@ -438,53 +529,54 @@ "base_uri": "https://localhost:8080/" }, "id": "DPqXCoNpL0SX", - "outputId": "a252e224-61da-48ee-92b8-1780def99244" + "outputId": "be1308b2-0c83-4dd3-eb88-e79ffcbd20d6" }, "source": [ "!pygmentize -f terminal16m example.py" ], - "execution_count": null, + "execution_count": 5, "outputs": [ { "output_type": "stream", + "name": "stdout", "text": [ - "\u001b[38;2;64;128;128m# This is an example feature definition file\u001b[39m\n", + "\u001b[38;2;64;128;128;03m# This is an example feature definition file\u001b[39;00m\n", "\n", - "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mgoogle.protobuf.duration_pb2\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m Duration\n", + "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mdatetime\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m timedelta\n", "\n", - "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mfeast\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m Entity, Feature, FeatureView, FileSource, ValueType\n", + "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mfeast\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m Entity, FeatureView, Field, FileSource, ValueType\n", + "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mfeast\u001b[39;00m\u001b[38;2;0;0;255;01m.\u001b[39;00m\u001b[38;2;0;0;255;01mtypes\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m Float32, Int64\n", "\n", - "\u001b[38;2;64;128;128m# Read data from parquet files. Parquet is convenient for local development mode. For\u001b[39m\n", - "\u001b[38;2;64;128;128m# production, you can use your favorite DWH, such as BigQuery. See Feast documentation\u001b[39m\n", - "\u001b[38;2;64;128;128m# for more info.\u001b[39m\n", + "\u001b[38;2;64;128;128;03m# Read data from parquet files. Parquet is convenient for local development mode. For\u001b[39;00m\n", + "\u001b[38;2;64;128;128;03m# production, you can use your favorite DWH, such as BigQuery. See Feast documentation\u001b[39;00m\n", + "\u001b[38;2;64;128;128;03m# for more info.\u001b[39;00m\n", "driver_hourly_stats \u001b[38;2;102;102;102m=\u001b[39m FileSource(\n", " path\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33m/content/feature_repo/data/driver_stats.parquet\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n", - " event_timestamp_column\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mevent_timestamp\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n", + " timestamp_field\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mevent_timestamp\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n", " created_timestamp_column\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mcreated\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n", ")\n", "\n", - "\u001b[38;2;64;128;128m# Define an entity for the driver. You can think of entity as a primary key used to\u001b[39m\n", - "\u001b[38;2;64;128;128m# fetch features.\u001b[39m\n", - "driver \u001b[38;2;102;102;102m=\u001b[39m Entity(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver_id\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, value_type\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mINT64, description\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver id\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,)\n", + "\u001b[38;2;64;128;128;03m# Define an entity for the driver. You can think of entity as a primary key used to\u001b[39;00m\n", + "\u001b[38;2;64;128;128;03m# fetch features.\u001b[39;00m\n", + "driver \u001b[38;2;102;102;102m=\u001b[39m Entity(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, value_type\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mINT64, join_key\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver_id\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,)\n", "\n", - "\u001b[38;2;64;128;128m# Our parquet files contain sample data that includes a driver_id column, timestamps and\u001b[39m\n", - "\u001b[38;2;64;128;128m# three feature column. Here we define a Feature View that will allow us to serve this\u001b[39m\n", - "\u001b[38;2;64;128;128m# data to our model online.\u001b[39m\n", + "\u001b[38;2;64;128;128;03m# Our parquet files contain sample data that includes a driver_id column, timestamps and\u001b[39;00m\n", + "\u001b[38;2;64;128;128;03m# three feature column. Here we define a Feature View that will allow us to serve this\u001b[39;00m\n", + "\u001b[38;2;64;128;128;03m# data to our model online.\u001b[39;00m\n", "driver_hourly_stats_view \u001b[38;2;102;102;102m=\u001b[39m FeatureView(\n", " name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver_hourly_stats\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n", - " entities\u001b[38;2;102;102;102m=\u001b[39m[\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver_id\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m],\n", - " ttl\u001b[38;2;102;102;102m=\u001b[39mDuration(seconds\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;102;102;102m86400\u001b[39m \u001b[38;2;102;102;102m*\u001b[39m \u001b[38;2;102;102;102m1\u001b[39m),\n", - " features\u001b[38;2;102;102;102m=\u001b[39m[\n", - " Feature(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mconv_rate\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mFLOAT),\n", - " Feature(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33macc_rate\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mFLOAT),\n", - " Feature(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mavg_daily_trips\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mINT64),\n", + " entities\u001b[38;2;102;102;102m=\u001b[39m[\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m],\n", + " ttl\u001b[38;2;102;102;102m=\u001b[39mtimedelta(days\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;102;102;102m1\u001b[39m),\n", + " schema\u001b[38;2;102;102;102m=\u001b[39m[\n", + " Field(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mconv_rate\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mFloat32),\n", + " Field(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33macc_rate\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mFloat32),\n", + " Field(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mavg_daily_trips\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mInt64),\n", " ],\n", - " online\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;0;128;0mTrue\u001b[39m,\n", - " batch_source\u001b[38;2;102;102;102m=\u001b[39mdriver_hourly_stats,\n", + " online\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;0;128;0;01mTrue\u001b[39;00m,\n", + " source\u001b[38;2;102;102;102m=\u001b[39mdriver_hourly_stats,\n", " tags\u001b[38;2;102;102;102m=\u001b[39m{},\n", ")\n" - ], - "name": "stdout" + ] } ] }, @@ -505,21 +597,23 @@ "base_uri": "https://localhost:8080/" }, "id": "RYKCKKrcxYZG", - "outputId": "d36b3fb2-9292-4b43-f26a-5441c301c92d" + "outputId": "9745d7eb-b4b8-4a43-bf47-189bbf07ae09" }, "source": [ "!feast apply" ], - "execution_count": null, + "execution_count": 6, "outputs": [ { "output_type": "stream", + "name": "stdout", "text": [ - "Registered entity \u001b[1m\u001b[32mdriver_id\u001b[0m\n", - "Registered feature view \u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m\n", - "Deploying infrastructure for \u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m\n" - ], - "name": "stdout" + "Created entity \u001b[1m\u001b[32mdriver_id\u001b[0m\n", + "Created feature view \u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m\n", + "\n", + "Created sqlite table \u001b[1m\u001b[32mfeature_repo_driver_hourly_stats\u001b[0m\n", + "\n" + ] } ] }, @@ -544,7 +638,7 @@ "base_uri": "https://localhost:8080/" }, "id": "C6Fzia7YwBzz", - "outputId": "250e9be1-2283-4d74-cf48-297b8ae0d23a" + "outputId": "b99aedae-9c47-4b9f-acdd-cd02e2e091b7" }, "source": [ "from datetime import datetime, timedelta\n", @@ -583,21 +677,22 @@ "print(\"----- Example features -----\\n\")\n", "print(training_df.head())" ], - "execution_count": null, + "execution_count": 7, "outputs": [ { "output_type": "stream", + "name": "stdout", "text": [ "----- Feature schema -----\n", "\n", "\n", - "Int64Index: 3 entries, 0 to 2\n", + "Int64Index: 3 entries, 720 to 1081\n", "Data columns (total 6 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", - " 0 event_timestamp 3 non-null datetime64[ns, UTC]\n", - " 1 driver_id 3 non-null int64 \n", - " 2 label_driver_reported_satisfaction 3 non-null int64 \n", + " 0 driver_id 3 non-null int64 \n", + " 1 label_driver_reported_satisfaction 3 non-null int64 \n", + " 2 event_timestamp 3 non-null datetime64[ns, UTC]\n", " 3 conv_rate 3 non-null float32 \n", " 4 acc_rate 3 non-null float32 \n", " 5 avg_daily_trips 3 non-null int32 \n", @@ -607,14 +702,16 @@ "\n", "----- Example features -----\n", "\n", - " event_timestamp driver_id ... acc_rate avg_daily_trips\n", - "0 2021-08-23 15:12:55.489091+00:00 1003 ... 0.120588 938\n", - "1 2021-08-23 15:49:55.489089+00:00 1002 ... 0.504881 635\n", - "2 2021-08-23 16:14:55.489075+00:00 1001 ... 0.138416 606\n", + " driver_id label_driver_reported_satisfaction \\\n", + "720 1002 5 \n", + "359 1001 1 \n", + "1081 1003 3 \n", "\n", - "[3 rows x 6 columns]\n" - ], - "name": "stdout" + " event_timestamp conv_rate acc_rate avg_daily_trips \n", + "720 2022-04-15 13:58:30.900257+00:00 0.368052 0.417923 346 \n", + "359 2022-04-15 14:23:30.900240+00:00 0.003188 0.535501 593 \n", + "1081 2022-04-15 13:21:30.900260+00:00 0.214944 0.788695 904 \n" + ] } ] }, @@ -645,23 +742,23 @@ "colab": { "base_uri": "https://localhost:8080/" }, - "outputId": "efbb493a-89a2-41ce-b3b4-d0d05131a8ff" + "outputId": "d38a0e0a-2802-4408-ab92-a26baf82752e" }, "source": [ "from datetime import datetime\n", "!feast materialize-incremental {datetime.now().isoformat()}" ], - "execution_count": null, + "execution_count": 8, "outputs": [ { "output_type": "stream", + "name": "stdout", "text": [ - "Materializing \u001b[1m\u001b[32m1\u001b[0m feature views to \u001b[1m\u001b[32m2021-08-23 16:25:46+00:00\u001b[0m into the \u001b[1m\u001b[32msqlite\u001b[0m online store.\n", + "Materializing \u001b[1m\u001b[32m1\u001b[0m feature views to \u001b[1m\u001b[32m2022-04-15 14:34:37+00:00\u001b[0m into the \u001b[1m\u001b[32msqlite\u001b[0m online store.\n", "\n", - "\u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m from \u001b[1m\u001b[32m2021-08-22 16:25:47+00:00\u001b[0m to \u001b[1m\u001b[32m2021-08-23 16:25:46+00:00\u001b[0m:\n", - "\r 0%| | 0/5 [00:00 Date: Fri, 15 Apr 2022 13:30:22 -0700 Subject: [PATCH 04/87] fix: Update RedisCluster to use redis-py official implementation (#2554) * switch to using redis cluster in redis-py Signed-off-by: Kevin Zhang * fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix dependencies Signed-off-by: Kevin Zhang * Update py3.7-ci-requirements.txt Signed-off-by: Felix Wang * update 3.10 requirements Signed-off-by: Kevin Zhang * Fix dependencies to address issues Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang Co-authored-by: Felix Wang --- sdk/python/feast/infra/online_stores/redis.py | 6 +- .../requirements/py3.10-ci-requirements.txt | 290 ++++++----------- .../requirements/py3.10-requirements.txt | 63 ++-- .../requirements/py3.7-ci-requirements.txt | 28 +- .../requirements/py3.8-ci-requirements.txt | 294 ++++++------------ .../requirements/py3.8-requirements.txt | 67 ++-- .../requirements/py3.9-ci-requirements.txt | 292 ++++++----------- .../requirements/py3.9-requirements.txt | 63 ++-- sdk/python/setup.py | 7 +- 9 files changed, 425 insertions(+), 685 deletions(-) diff --git a/sdk/python/feast/infra/online_stores/redis.py b/sdk/python/feast/infra/online_stores/redis.py index a2e8e27d807..9ceceff0ac0 100644 --- a/sdk/python/feast/infra/online_stores/redis.py +++ b/sdk/python/feast/infra/online_stores/redis.py @@ -42,7 +42,7 @@ try: from redis import Redis - from rediscluster import RedisCluster + from redis.cluster import ClusterNode, RedisCluster except ImportError as e: from feast.errors import FeastExtrasDependencyImportError @@ -164,7 +164,9 @@ def _get_client(self, online_store_config: RedisOnlineStoreConfig): online_store_config.connection_string ) if online_store_config.redis_type == RedisType.redis_cluster: - kwargs["startup_nodes"] = startup_nodes + kwargs["startup_nodes"] = [ + ClusterNode(**node) for node in startup_nodes + ] self._client = RedisCluster(**kwargs) else: kwargs["host"] = startup_nodes[0]["host"] diff --git a/sdk/python/requirements/py3.10-ci-requirements.txt b/sdk/python/requirements/py3.10-ci-requirements.txt index e120f8c58e4..346aa6da47e 100644 --- a/sdk/python/requirements/py3.10-ci-requirements.txt +++ b/sdk/python/requirements/py3.10-ci-requirements.txt @@ -23,20 +23,16 @@ alabaster==0.7.12 altair==4.2.0 # via great-expectations anyio==3.5.0 - # via starlette + # via + # starlette + # watchgod appdirs==1.4.4 # via black -appnope==0.1.2 - # via - # ipykernel - # ipython -argon2-cffi==21.3.0 - # via notebook -argon2-cffi-bindings==21.2.0 - # via argon2-cffi +appnope==0.1.3 + # via ipython asgiref==3.5.0 # via uvicorn -asn1crypto==1.4.0 +asn1crypto==1.5.1 # via # oscrypto # snowflake-connector-python @@ -45,7 +41,9 @@ assertpy==1.1 asttokens==2.0.5 # via stack-data async-timeout==4.0.2 - # via aiohttp + # via + # aiohttp + # redis attrs==21.4.0 # via # aiohttp @@ -54,16 +52,16 @@ attrs==21.4.0 # pytest avro==1.10.0 # via feast (setup.py) -azure-core==1.23.0 +azure-core==1.23.1 # via # adlfs # azure-identity # azure-storage-blob azure-datalake-store==0.0.52 # via adlfs -azure-identity==1.8.0 +azure-identity==1.9.0 # via adlfs -azure-storage-blob==12.9.0 +azure-storage-blob==12.11.0 # via adlfs babel==2.9.1 # via sphinx @@ -71,13 +69,11 @@ backcall==0.2.0 # via ipython black==19.10b0 # via feast (setup.py) -bleach==4.1.0 - # via nbconvert -boto3==1.21.11 +boto3==1.21.41 # via # feast (setup.py) # moto -botocore==1.24.11 +botocore==1.24.41 # via # boto3 # moto @@ -94,7 +90,6 @@ certifi==2021.10.8 # snowflake-connector-python cffi==1.15.0 # via - # argon2-cffi-bindings # azure-datalake-store # cryptography # snowflake-connector-python @@ -105,7 +100,7 @@ charset-normalizer==2.0.12 # aiohttp # requests # snowflake-connector-python -click==8.0.4 +click==8.1.2 # via # black # feast (setup.py) @@ -115,30 +110,32 @@ click==8.0.4 cloudpickle==2.0.0 # via dask colorama==0.4.4 - # via feast (setup.py) + # via + # feast (setup.py) + # great-expectations coverage[toml]==6.3.2 # via pytest-cov -cryptography==3.3.2 +cryptography==3.4.8 # via # adal # azure-identity # azure-storage-blob # feast (setup.py) + # great-expectations # moto # msal - # pyjwt # pyopenssl # snowflake-connector-python dask==2022.1.1 # via feast (setup.py) -debugpy==1.5.1 - # via ipykernel +dataclasses==0.6 + # via great-expectations decorator==5.1.1 # via # gcsfs # ipython -defusedxml==0.7.1 - # via nbconvert +deprecated==1.2.13 + # via redis deprecation==2.1.0 # via testcontainers dill==0.3.4 @@ -154,20 +151,19 @@ docutils==0.17.1 # sphinx # sphinx-rtd-theme entrypoints==0.4 - # via - # altair - # jupyter-client - # nbconvert + # via altair execnet==1.9.0 # via pytest-xdist executing==0.8.3 # via stack-data -fastapi==0.74.1 +fastapi==0.75.1 # via feast (setup.py) -fastavro==1.4.9 +fastavro==1.4.10 # via # feast (setup.py) # pandavro +fastjsonschema==2.15.3 + # via nbformat filelock==3.6.0 # via virtualenv firebase-admin==4.5.2 @@ -178,12 +174,12 @@ frozenlist==1.3.0 # via # aiohttp # aiosignal -fsspec==2022.2.0 +fsspec==2022.3.0 # via # adlfs # dask # gcsfs -gcsfs==2022.2.0 +gcsfs==2022.3.0 # via feast (setup.py) google-api-core[grpc]==1.31.5 # via @@ -195,7 +191,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.39.0 +google-api-python-client==2.44.0 # via firebase-admin google-auth==1.35.0 # via @@ -208,11 +204,11 @@ google-auth==1.35.0 # google-cloud-storage google-auth-httplib2==0.1.0 # via google-api-python-client -google-auth-oauthlib==0.5.0 +google-auth-oauthlib==0.5.1 # via gcsfs -google-cloud-bigquery==2.34.1 +google-cloud-bigquery==2.34.3 # via feast (setup.py) -google-cloud-bigquery-storage==2.12.0 +google-cloud-bigquery-storage==2.13.1 # via feast (setup.py) google-cloud-core==1.7.2 # via @@ -221,9 +217,9 @@ google-cloud-core==1.7.2 # google-cloud-datastore # google-cloud-firestore # google-cloud-storage -google-cloud-datastore==2.5.0 +google-cloud-datastore==2.5.1 # via feast (setup.py) -google-cloud-firestore==2.3.4 +google-cloud-firestore==2.4.0 # via firebase-admin google-cloud-storage==1.40.0 # via @@ -241,7 +237,7 @@ googleapis-common-protos==1.52.0 # feast (setup.py) # google-api-core # tensorflow-metadata -great-expectations==0.14.8 +great-expectations==0.14.13 # via feast (setup.py) grpcio==1.44.0 # via @@ -265,9 +261,9 @@ httplib2==0.20.4 # via # google-api-python-client # google-auth-httplib2 -httptools==0.3.0 +httptools==0.4.0 # via uvicorn -identify==2.4.11 +identify==2.4.12 # via pre-commit idna==3.3 # via @@ -277,24 +273,11 @@ idna==3.3 # yarl imagesize==1.3.0 # via sphinx -importlib-metadata==4.11.2 +importlib-metadata==4.11.3 # via great-expectations iniconfig==1.1.1 # via pytest -ipykernel==6.9.1 - # via - # ipywidgets - # notebook -ipython==8.1.1 - # via - # ipykernel - # ipywidgets -ipython-genutils==0.2.0 - # via - # ipywidgets - # nbformat - # notebook -ipywidgets==7.6.5 +ipython==8.2.0 # via great-expectations isodate==0.6.1 # via msrest @@ -308,16 +291,14 @@ jinja2==3.0.3 # feast (setup.py) # great-expectations # moto - # nbconvert - # notebook # sphinx -jmespath==0.10.0 +jmespath==1.0.0 # via # boto3 # botocore jsonpatch==1.32 # via great-expectations -jsonpointer==2.2 +jsonpointer==2.3 # via jsonpatch jsonschema==4.4.0 # via @@ -325,44 +306,27 @@ jsonschema==4.4.0 # feast (setup.py) # great-expectations # nbformat -jupyter-client==7.1.2 - # via - # ipykernel - # nbclient - # notebook jupyter-core==4.9.2 - # via - # jupyter-client - # nbconvert - # nbformat - # notebook -jupyterlab-pygments==0.1.2 - # via nbconvert -jupyterlab-widgets==1.0.2 - # via ipywidgets + # via nbformat locket==0.2.1 # via partd -markupsafe==2.1.0 +markupsafe==2.1.1 # via # jinja2 # moto matplotlib-inline==0.1.3 - # via - # ipykernel - # ipython + # via ipython mccabe==0.6.1 # via flake8 minio==7.1.0 # via feast (setup.py) -mistune==0.8.4 - # via - # great-expectations - # nbconvert +mistune==2.0.2 + # via great-expectations mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.0.5 +moto==3.1.4 # via feast (setup.py) msal==1.17.0 # via @@ -386,29 +350,13 @@ mypy==0.931 # via feast (setup.py) mypy-extensions==0.4.3 # via mypy -mypy-protobuf==3.1.0 - # via feast (setup.py) -nbclient==0.5.11 - # via nbconvert -nbconvert==6.4.2 - # via notebook -nbformat==5.1.3 - # via - # ipywidgets - # nbclient - # nbconvert - # notebook -nest-asyncio==1.5.4 - # via - # ipykernel - # jupyter-client - # nbclient - # notebook +mypy-protobuf==3.1 + # via feast (setup.py) +nbformat==5.3.0 + # via great-expectations nodeenv==1.6.0 # via pre-commit -notebook==6.4.10 - # via widgetsnbextension -numpy==1.22.2 +numpy==1.22.3 # via # altair # great-expectations @@ -418,17 +366,17 @@ numpy==1.22.2 # scipy oauthlib==3.2.0 # via requests-oauthlib -oscrypto==1.2.1 +oscrypto==1.3.0 # via snowflake-connector-python packaging==21.3 # via - # bleach # dask # deprecation # google-api-core # google-cloud-bigquery - # google-cloud-firestore + # great-expectations # pytest + # redis # sphinx pandas==1.3.5 # via @@ -439,8 +387,6 @@ pandas==1.3.5 # snowflake-connector-python pandavro==1.5.2 # via feast (setup.py) -pandocfilters==1.5.0 - # via nbconvert parso==0.8.3 # via jedi partd==1.2.0 @@ -455,7 +401,7 @@ pexpect==4.8.0 # via ipython pickleshare==0.7.5 # via ipython -pip-tools==6.5.1 +pip-tools==6.6.0 # via feast (setup.py) platformdirs==2.5.1 # via virtualenv @@ -463,11 +409,9 @@ pluggy==1.0.0 # via pytest portalocker==2.4.0 # via msal-extensions -pre-commit==2.17.0 +pre-commit==2.18.1 # via feast (setup.py) -prometheus-client==0.13.1 - # via notebook -prompt-toolkit==3.0.28 +prompt-toolkit==3.0.29 # via ipython proto-plus==1.19.6 # via @@ -491,9 +435,7 @@ protobuf==3.19.4 psutil==5.9.0 # via feast (setup.py) ptyprocess==0.7.0 - # via - # pexpect - # terminado + # via pexpect pure-eval==0.2.2 # via stack-data py==1.11.0 @@ -514,7 +456,7 @@ pyasn1==0.4.8 # rsa pyasn1-modules==0.2.8 # via google-auth -pybindgen==0.22.0 +pybindgen==0.22.1 # via feast (setup.py) pycodestyle==2.8.0 # via flake8 @@ -531,8 +473,6 @@ pyflakes==2.4.0 pygments==2.11.2 # via # ipython - # jupyterlab-pygments - # nbconvert # sphinx pyjwt[crypto]==2.3.0 # via @@ -550,7 +490,7 @@ pyrsistent==0.18.1 # via jsonschema pyspark==3.2.1 # via feast (setup.py) -pytest==7.0.1 +pytest==7.1.1 # via # feast (setup.py) # pytest-benchmark @@ -583,12 +523,11 @@ python-dateutil==2.8.2 # botocore # google-cloud-bigquery # great-expectations - # jupyter-client # moto # pandas -python-dotenv==0.19.2 +python-dotenv==0.20.0 # via uvicorn -pytz==2021.3 +pytz==2022.1 # via # babel # google-api-core @@ -596,6 +535,7 @@ pytz==2021.3 # moto # pandas # snowflake-connector-python + # trino pytz-deprecation-shim==0.1.0.post0 # via tzlocal pyyaml==6.0 @@ -604,17 +544,9 @@ pyyaml==6.0 # feast (setup.py) # pre-commit # uvicorn -pyzmq==22.3.0 - # via - # jupyter-client - # notebook -redis==3.5.3 - # via - # feast (setup.py) - # redis-py-cluster -redis-py-cluster==2.1.3 +redis==4.2.2 # via feast (setup.py) -regex==2022.3.2 +regex==2022.3.15 # via black requests==2.27.1 # via @@ -636,39 +568,32 @@ requests==2.27.1 # responses # snowflake-connector-python # sphinx + # trino requests-oauthlib==1.3.1 # via # google-auth-oauthlib # msrest -responses==0.18.0 +responses==0.20.0 # via moto rsa==4.8 # via google-auth -ruamel.yaml==0.17.17 +ruamel-yaml==0.17.17 # via great-expectations -ruamel.yaml.clib==0.2.6 - # via ruamel.yaml s3transfer==0.5.2 # via boto3 scipy==1.8.0 # via great-expectations -send2trash==1.8.0 - # via notebook six==1.16.0 # via # absl-py - # asttokens # azure-core # azure-identity - # bleach - # cryptography # google-api-core # google-auth # google-auth-httplib2 # google-cloud-core # google-resumable-media # grpcio - # isodate # mock # msrestazure # pandavro @@ -679,7 +604,7 @@ sniffio==1.2.0 # via anyio snowballstemmer==2.2.0 # via sphinx -snowflake-connector-python[pandas]==2.7.4 +snowflake-connector-python[pandas]==2.7.6 # via feast (setup.py) sphinx==4.3.2 # via @@ -711,12 +636,8 @@ tensorflow-metadata==1.7.0 # via feast (setup.py) termcolor==1.1.0 # via great-expectations -terminado==0.13.2 - # via notebook -testcontainers==3.4.2 +testcontainers==3.5.3 # via feast (setup.py) -testpath==0.6.0 - # via nbconvert toml==0.10.2 # via # black @@ -733,49 +654,39 @@ toolz==0.11.2 # altair # dask # partd -tornado==6.1 - # via - # ipykernel - # jupyter-client - # notebook - # terminado -tqdm==4.63.0 +tqdm==4.64.0 # via # feast (setup.py) # great-expectations traitlets==5.1.1 # via - # ipykernel # ipython - # ipywidgets - # jupyter-client # jupyter-core # matplotlib-inline - # nbclient - # nbconvert # nbformat - # notebook +trino==0.312.0 + # via feast (setup.py) typed-ast==1.5.2 # via black -types-protobuf==3.19.12 +types-protobuf==3.19.15 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.9 +types-python-dateutil==2.8.10 # via feast (setup.py) -types-pytz==2021.3.5 +types-pytz==2021.3.6 # via feast (setup.py) -types-pyyaml==6.0.4 +types-pyyaml==6.0.5 # via feast (setup.py) -types-redis==4.1.17 +types-redis==4.1.19 # via feast (setup.py) -types-requests==2.27.11 +types-requests==2.27.16 # via feast (setup.py) -types-setuptools==57.4.9 +types-setuptools==57.4.12 # via feast (setup.py) -types-tabulate==0.8.5 +types-tabulate==0.8.6 # via feast (setup.py) -types-urllib3==1.26.10 +types-urllib3==1.26.11 # via types-requests typing-extensions==4.1.1 # via @@ -783,48 +694,47 @@ typing-extensions==4.1.1 # great-expectations # mypy # pydantic -tzdata==2021.5 +tzdata==2022.1 # via pytz-deprecation-shim -tzlocal==4.1 +tzlocal==4.2 # via great-expectations uritemplate==4.1.1 # via google-api-python-client -urllib3==1.26.8 +urllib3==1.26.9 # via # botocore # feast (setup.py) + # great-expectations # minio # requests # responses -uvicorn[standard]==0.17.5 +uvicorn[standard]==0.17.6 # via feast (setup.py) uvloop==0.16.0 # via uvicorn -virtualenv==20.13.2 +virtualenv==20.14.1 # via pre-commit -watchgod==0.7 +watchgod==0.8.2 # via uvicorn wcwidth==0.2.5 # via prompt-toolkit -webencodings==0.5.1 - # via bleach -websocket-client==1.3.1 +websocket-client==1.3.2 # via docker websockets==10.2 # via uvicorn -werkzeug==2.0.3 +werkzeug==2.1.1 # via moto wheel==0.37.1 # via pip-tools -widgetsnbextension==3.5.2 - # via ipywidgets -wrapt==1.13.3 - # via testcontainers +wrapt==1.14.0 + # via + # deprecated + # testcontainers xmltodict==0.12.0 # via moto yarl==1.7.2 # via aiohttp -zipp==3.7.0 +zipp==3.8.0 # via importlib-metadata # The following packages are considered to be unsafe in a requirements file: diff --git a/sdk/python/requirements/py3.10-requirements.txt b/sdk/python/requirements/py3.10-requirements.txt index e21a4ba4129..455d80b7909 100644 --- a/sdk/python/requirements/py3.10-requirements.txt +++ b/sdk/python/requirements/py3.10-requirements.txt @@ -7,18 +7,20 @@ absl-py==1.0.0 # via tensorflow-metadata anyio==3.5.0 - # via starlette -asgiref==3.4.1 + # via + # starlette + # watchgod +asgiref==3.5.0 # via uvicorn attrs==21.4.0 # via jsonschema -cachetools==4.2.4 +cachetools==5.0.0 # via google-auth certifi==2021.10.8 # via requests -charset-normalizer==2.0.10 +charset-normalizer==2.0.12 # via requests -click==8.0.3 +click==8.1.2 # via # feast (setup.py) # uvicorn @@ -30,55 +32,55 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.72.0 +fastapi==0.75.1 # via feast (setup.py) -fastavro==1.4.9 +fastavro==1.4.10 # via # feast (setup.py) # pandavro -fsspec==2022.2.0 +fsspec==2022.3.0 # via dask -google-api-core==2.4.0 +google-api-core==2.7.2 # via feast (setup.py) -google-auth==2.3.3 +google-auth==2.6.5 # via google-api-core googleapis-common-protos==1.52.0 # via # feast (setup.py) # google-api-core # tensorflow-metadata -grpcio==1.43.0 +grpcio==1.44.0 # via # feast (setup.py) # grpcio-reflection -grpcio-reflection==1.43.0 +grpcio-reflection==1.44.0 # via feast (setup.py) h11==0.13.0 # via uvicorn -httptools==0.3.0 +httptools==0.4.0 # via uvicorn idna==3.3 # via # anyio # requests -jinja2==3.0.3 +jinja2==3.1.1 # via feast (setup.py) jsonschema==4.4.0 # via feast (setup.py) locket==0.2.1 # via partd -markupsafe==2.0.1 +markupsafe==2.1.1 # via jinja2 mmh3==3.0.0 # via feast (setup.py) -numpy==1.21.5 +numpy==1.22.3 # via # pandas # pandavro # pyarrow packaging==21.3 # via dask -pandas==1.3.5 +pandas==1.4.2 # via # feast (setup.py) # pandavro @@ -88,7 +90,7 @@ partd==1.2.0 # via dask proto-plus==1.19.6 # via feast (setup.py) -protobuf==3.19.3 +protobuf==3.19.4 # via # feast (setup.py) # google-api-core @@ -96,7 +98,7 @@ protobuf==3.19.3 # grpcio-reflection # proto-plus # tensorflow-metadata -pyarrow==6.0.1 +pyarrow==7.0.0 # via feast (setup.py) pyasn1==0.4.8 # via @@ -108,15 +110,15 @@ pydantic==1.9.0 # via # fastapi # feast (setup.py) -pyparsing==3.0.7 +pyparsing==3.0.8 # via packaging pyrsistent==0.18.1 # via jsonschema python-dateutil==2.8.2 # via pandas -python-dotenv==0.19.2 +python-dotenv==0.20.0 # via uvicorn -pytz==2021.3 +pytz==2022.1 # via pandas pyyaml==6.0 # via @@ -142,7 +144,7 @@ tabulate==0.8.9 # via feast (setup.py) tenacity==8.0.1 # via feast (setup.py) -tensorflow-metadata==1.6.0 +tensorflow-metadata==1.7.0 # via feast (setup.py) toml==0.10.2 # via feast (setup.py) @@ -150,20 +152,17 @@ toolz==0.11.2 # via # dask # partd -tqdm==4.62.3 +tqdm==4.64.0 # via feast (setup.py) -typing-extensions==4.0.1 +typing-extensions==4.1.1 # via pydantic -urllib3==1.26.8 +urllib3==1.26.9 # via requests -uvicorn[standard]==0.17.0 +uvicorn[standard]==0.17.6 # via feast (setup.py) uvloop==0.16.0 # via uvicorn -watchgod==0.7 +watchgod==0.8.2 # via uvicorn -websockets==10.1 +websockets==10.2 # via uvicorn - -# The following packages are considered to be unsafe in a requirements file: -# setuptools diff --git a/sdk/python/requirements/py3.7-ci-requirements.txt b/sdk/python/requirements/py3.7-ci-requirements.txt index 4ec4bde7c42..224840a6f75 100644 --- a/sdk/python/requirements/py3.7-ci-requirements.txt +++ b/sdk/python/requirements/py3.7-ci-requirements.txt @@ -43,7 +43,9 @@ asn1crypto==1.4.0 assertpy==1.1 # via feast (setup.py) async-timeout==4.0.2 - # via aiohttp + # via + # aiohttp + # redis asynctest==0.13.0 # via aiohttp attrs==21.4.0 @@ -122,7 +124,7 @@ colorama==0.4.4 # via feast (setup.py) coverage[toml]==6.3.2 # via pytest-cov -cryptography==3.3.2 +cryptography==3.4.8 # via # adal # azure-identity @@ -143,6 +145,8 @@ decorator==5.1.1 # ipython defusedxml==0.7.1 # via nbconvert +deprecated==1.2.13 + # via redis deprecation==2.1.0 # via testcontainers dill==0.3.4 @@ -290,6 +294,7 @@ importlib-metadata==4.2.0 # pluggy # pre-commit # pytest + # redis # virtualenv importlib-resources==5.4.0 # via jsonschema @@ -443,6 +448,7 @@ packaging==21.3 # google-cloud-bigquery # google-cloud-firestore # pytest + # redis # sphinx pandas==1.3.5 # via @@ -608,6 +614,7 @@ pytz==2021.3 # moto # pandas # snowflake-connector-python + # trino pytz-deprecation-shim==0.1.0.post0 # via tzlocal pyyaml==6.0 @@ -620,11 +627,7 @@ pyzmq==22.3.0 # via # jupyter-client # notebook -redis==3.5.3 - # via - # feast (setup.py) - # redis-py-cluster -redis-py-cluster==2.1.3 +redis==4.2.2 # via feast (setup.py) regex==2022.3.2 # via black @@ -648,6 +651,7 @@ requests==2.27.1 # responses # snowflake-connector-python # sphinx + # trino requests-oauthlib==1.3.1 # via # google-auth-oauthlib @@ -672,7 +676,6 @@ six==1.16.0 # azure-core # azure-identity # bleach - # cryptography # google-api-core # google-auth # google-auth-httplib2 @@ -722,7 +725,7 @@ termcolor==1.1.0 # via great-expectations terminado==0.13.2 # via notebook -testcontainers==3.4.2 +testcontainers==3.5.3 # via feast (setup.py) testpath==0.6.0 # via nbconvert @@ -764,6 +767,8 @@ traitlets==5.1.1 # nbconvert # nbformat # notebook +trino==0.312.0 + # via feast (setup.py) typed-ast==1.5.2 # via # black @@ -802,6 +807,7 @@ typing-extensions==4.1.1 # jsonschema # mypy # pydantic + # redis # starlette # uvicorn # yarl @@ -841,7 +847,9 @@ wheel==0.37.1 widgetsnbextension==3.5.2 # via ipywidgets wrapt==1.13.3 - # via testcontainers + # via + # deprecated + # testcontainers xmltodict==0.12.0 # via moto yarl==1.7.2 diff --git a/sdk/python/requirements/py3.8-ci-requirements.txt b/sdk/python/requirements/py3.8-ci-requirements.txt index 5e2da9baa7d..34032ef7d26 100644 --- a/sdk/python/requirements/py3.8-ci-requirements.txt +++ b/sdk/python/requirements/py3.8-ci-requirements.txt @@ -23,20 +23,16 @@ alabaster==0.7.12 altair==4.2.0 # via great-expectations anyio==3.5.0 - # via starlette + # via + # starlette + # watchgod appdirs==1.4.4 # via black -appnope==0.1.2 - # via - # ipykernel - # ipython -argon2-cffi==21.3.0 - # via notebook -argon2-cffi-bindings==21.2.0 - # via argon2-cffi +appnope==0.1.3 + # via ipython asgiref==3.5.0 # via uvicorn -asn1crypto==1.4.0 +asn1crypto==1.5.1 # via # oscrypto # snowflake-connector-python @@ -45,7 +41,9 @@ assertpy==1.1 asttokens==2.0.5 # via stack-data async-timeout==4.0.2 - # via aiohttp + # via + # aiohttp + # redis attrs==21.4.0 # via # aiohttp @@ -54,16 +52,16 @@ attrs==21.4.0 # pytest avro==1.10.0 # via feast (setup.py) -azure-core==1.23.0 +azure-core==1.23.1 # via # adlfs # azure-identity # azure-storage-blob azure-datalake-store==0.0.52 # via adlfs -azure-identity==1.8.0 +azure-identity==1.9.0 # via adlfs -azure-storage-blob==12.9.0 +azure-storage-blob==12.11.0 # via adlfs babel==2.9.1 # via sphinx @@ -75,13 +73,11 @@ backports-zoneinfo==0.2.1 # tzlocal black==19.10b0 # via feast (setup.py) -bleach==4.1.0 - # via nbconvert -boto3==1.21.11 +boto3==1.21.41 # via # feast (setup.py) # moto -botocore==1.24.11 +botocore==1.24.41 # via # boto3 # moto @@ -98,7 +94,6 @@ certifi==2021.10.8 # snowflake-connector-python cffi==1.15.0 # via - # argon2-cffi-bindings # azure-datalake-store # cryptography # snowflake-connector-python @@ -109,7 +104,7 @@ charset-normalizer==2.0.12 # aiohttp # requests # snowflake-connector-python -click==8.0.4 +click==8.1.2 # via # black # feast (setup.py) @@ -119,30 +114,32 @@ click==8.0.4 cloudpickle==2.0.0 # via dask colorama==0.4.4 - # via feast (setup.py) + # via + # feast (setup.py) + # great-expectations coverage[toml]==6.3.2 # via pytest-cov -cryptography==3.3.2 +cryptography==3.4.8 # via # adal # azure-identity # azure-storage-blob # feast (setup.py) + # great-expectations # moto # msal - # pyjwt # pyopenssl # snowflake-connector-python dask==2022.1.1 # via feast (setup.py) -debugpy==1.5.1 - # via ipykernel +dataclasses==0.6 + # via great-expectations decorator==5.1.1 # via # gcsfs # ipython -defusedxml==0.7.1 - # via nbconvert +deprecated==1.2.13 + # via redis deprecation==2.1.0 # via testcontainers dill==0.3.4 @@ -158,20 +155,19 @@ docutils==0.17.1 # sphinx # sphinx-rtd-theme entrypoints==0.4 - # via - # altair - # jupyter-client - # nbconvert + # via altair execnet==1.9.0 # via pytest-xdist executing==0.8.3 # via stack-data -fastapi==0.74.1 +fastapi==0.75.1 # via feast (setup.py) -fastavro==1.4.9 +fastavro==1.4.10 # via # feast (setup.py) # pandavro +fastjsonschema==2.15.3 + # via nbformat filelock==3.6.0 # via virtualenv firebase-admin==4.5.2 @@ -182,12 +178,12 @@ frozenlist==1.3.0 # via # aiohttp # aiosignal -fsspec==2022.2.0 +fsspec==2022.3.0 # via # adlfs # dask # gcsfs -gcsfs==2022.2.0 +gcsfs==2022.3.0 # via feast (setup.py) google-api-core[grpc]==1.31.5 # via @@ -199,7 +195,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.39.0 +google-api-python-client==2.44.0 # via firebase-admin google-auth==1.35.0 # via @@ -212,11 +208,11 @@ google-auth==1.35.0 # google-cloud-storage google-auth-httplib2==0.1.0 # via google-api-python-client -google-auth-oauthlib==0.5.0 +google-auth-oauthlib==0.5.1 # via gcsfs -google-cloud-bigquery==2.34.1 +google-cloud-bigquery==2.34.3 # via feast (setup.py) -google-cloud-bigquery-storage==2.12.0 +google-cloud-bigquery-storage==2.13.1 # via feast (setup.py) google-cloud-core==1.7.2 # via @@ -225,9 +221,9 @@ google-cloud-core==1.7.2 # google-cloud-datastore # google-cloud-firestore # google-cloud-storage -google-cloud-datastore==2.5.0 +google-cloud-datastore==2.5.1 # via feast (setup.py) -google-cloud-firestore==2.3.4 +google-cloud-firestore==2.4.0 # via firebase-admin google-cloud-storage==1.40.0 # via @@ -245,7 +241,7 @@ googleapis-common-protos==1.52.0 # feast (setup.py) # google-api-core # tensorflow-metadata -great-expectations==0.14.8 +great-expectations==0.14.13 # via feast (setup.py) grpcio==1.44.0 # via @@ -269,9 +265,9 @@ httplib2==0.20.4 # via # google-api-python-client # google-auth-httplib2 -httptools==0.3.0 +httptools==0.4.0 # via uvicorn -identify==2.4.11 +identify==2.4.12 # via pre-commit idna==3.3 # via @@ -281,26 +277,13 @@ idna==3.3 # yarl imagesize==1.3.0 # via sphinx -importlib-metadata==4.11.2 +importlib-metadata==4.11.3 # via great-expectations -importlib-resources==5.4.0 +importlib-resources==5.7.0 # via jsonschema iniconfig==1.1.1 # via pytest -ipykernel==6.9.1 - # via - # ipywidgets - # notebook -ipython==8.1.1 - # via - # ipykernel - # ipywidgets -ipython-genutils==0.2.0 - # via - # ipywidgets - # nbformat - # notebook -ipywidgets==7.6.5 +ipython==8.2.0 # via great-expectations isodate==0.6.1 # via msrest @@ -314,16 +297,14 @@ jinja2==3.0.3 # feast (setup.py) # great-expectations # moto - # nbconvert - # notebook # sphinx -jmespath==0.10.0 +jmespath==1.0.0 # via # boto3 # botocore jsonpatch==1.32 # via great-expectations -jsonpointer==2.2 +jsonpointer==2.3 # via jsonpatch jsonschema==4.4.0 # via @@ -331,44 +312,27 @@ jsonschema==4.4.0 # feast (setup.py) # great-expectations # nbformat -jupyter-client==7.1.2 - # via - # ipykernel - # nbclient - # notebook jupyter-core==4.9.2 - # via - # jupyter-client - # nbconvert - # nbformat - # notebook -jupyterlab-pygments==0.1.2 - # via nbconvert -jupyterlab-widgets==1.0.2 - # via ipywidgets + # via nbformat locket==0.2.1 # via partd -markupsafe==2.1.0 +markupsafe==2.1.1 # via # jinja2 # moto matplotlib-inline==0.1.3 - # via - # ipykernel - # ipython + # via ipython mccabe==0.6.1 # via flake8 minio==7.1.0 # via feast (setup.py) -mistune==0.8.4 - # via - # great-expectations - # nbconvert +mistune==2.0.2 + # via great-expectations mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.0.5 +moto==3.1.4 # via feast (setup.py) msal==1.17.0 # via @@ -392,29 +356,13 @@ mypy==0.931 # via feast (setup.py) mypy-extensions==0.4.3 # via mypy -mypy-protobuf==3.1.0 - # via feast (setup.py) -nbclient==0.5.11 - # via nbconvert -nbconvert==6.4.2 - # via notebook -nbformat==5.1.3 - # via - # ipywidgets - # nbclient - # nbconvert - # notebook -nest-asyncio==1.5.4 - # via - # ipykernel - # jupyter-client - # nbclient - # notebook +mypy-protobuf==3.1 + # via feast (setup.py) +nbformat==5.3.0 + # via great-expectations nodeenv==1.6.0 # via pre-commit -notebook==6.4.10 - # via widgetsnbextension -numpy==1.22.2 +numpy==1.22.3 # via # altair # great-expectations @@ -424,17 +372,17 @@ numpy==1.22.2 # scipy oauthlib==3.2.0 # via requests-oauthlib -oscrypto==1.2.1 +oscrypto==1.3.0 # via snowflake-connector-python packaging==21.3 # via - # bleach # dask # deprecation # google-api-core # google-cloud-bigquery - # google-cloud-firestore + # great-expectations # pytest + # redis # sphinx pandas==1.3.5 # via @@ -445,8 +393,6 @@ pandas==1.3.5 # snowflake-connector-python pandavro==1.5.2 # via feast (setup.py) -pandocfilters==1.5.0 - # via nbconvert parso==0.8.3 # via jedi partd==1.2.0 @@ -461,7 +407,7 @@ pexpect==4.8.0 # via ipython pickleshare==0.7.5 # via ipython -pip-tools==6.5.1 +pip-tools==6.6.0 # via feast (setup.py) platformdirs==2.5.1 # via virtualenv @@ -469,11 +415,9 @@ pluggy==1.0.0 # via pytest portalocker==2.4.0 # via msal-extensions -pre-commit==2.17.0 +pre-commit==2.18.1 # via feast (setup.py) -prometheus-client==0.13.1 - # via notebook -prompt-toolkit==3.0.28 +prompt-toolkit==3.0.29 # via ipython proto-plus==1.19.6 # via @@ -497,9 +441,7 @@ protobuf==3.19.4 psutil==5.9.0 # via feast (setup.py) ptyprocess==0.7.0 - # via - # pexpect - # terminado + # via pexpect pure-eval==0.2.2 # via stack-data py==1.11.0 @@ -520,7 +462,7 @@ pyasn1==0.4.8 # rsa pyasn1-modules==0.2.8 # via google-auth -pybindgen==0.22.0 +pybindgen==0.22.1 # via feast (setup.py) pycodestyle==2.8.0 # via flake8 @@ -537,8 +479,6 @@ pyflakes==2.4.0 pygments==2.11.2 # via # ipython - # jupyterlab-pygments - # nbconvert # sphinx pyjwt[crypto]==2.3.0 # via @@ -556,7 +496,7 @@ pyrsistent==0.18.1 # via jsonschema pyspark==3.2.1 # via feast (setup.py) -pytest==7.0.1 +pytest==7.1.1 # via # feast (setup.py) # pytest-benchmark @@ -589,12 +529,11 @@ python-dateutil==2.8.2 # botocore # google-cloud-bigquery # great-expectations - # jupyter-client # moto # pandas -python-dotenv==0.19.2 +python-dotenv==0.20.0 # via uvicorn -pytz==2021.3 +pytz==2022.1 # via # babel # google-api-core @@ -602,6 +541,7 @@ pytz==2021.3 # moto # pandas # snowflake-connector-python + # trino pytz-deprecation-shim==0.1.0.post0 # via tzlocal pyyaml==6.0 @@ -610,17 +550,9 @@ pyyaml==6.0 # feast (setup.py) # pre-commit # uvicorn -pyzmq==22.3.0 - # via - # jupyter-client - # notebook -redis==3.5.3 - # via - # feast (setup.py) - # redis-py-cluster -redis-py-cluster==2.1.3 +redis==4.2.2 # via feast (setup.py) -regex==2022.3.2 +regex==2022.3.15 # via black requests==2.27.1 # via @@ -642,39 +574,34 @@ requests==2.27.1 # responses # snowflake-connector-python # sphinx + # trino requests-oauthlib==1.3.1 # via # google-auth-oauthlib # msrest -responses==0.18.0 +responses==0.20.0 # via moto rsa==4.8 # via google-auth ruamel-yaml==0.17.17 # via great-expectations -ruamel.yaml.clib==0.2.6 - # via ruamel.yaml +ruamel-yaml-clib==0.2.6 + # via ruamel-yaml s3transfer==0.5.2 # via boto3 scipy==1.8.0 # via great-expectations -send2trash==1.8.0 - # via notebook six==1.16.0 # via # absl-py - # asttokens # azure-core # azure-identity - # bleach - # cryptography # google-api-core # google-auth # google-auth-httplib2 # google-cloud-core # google-resumable-media # grpcio - # isodate # mock # msrestazure # pandavro @@ -685,7 +612,7 @@ sniffio==1.2.0 # via anyio snowballstemmer==2.2.0 # via sphinx -snowflake-connector-python[pandas]==2.7.4 +snowflake-connector-python[pandas]==2.7.6 # via feast (setup.py) sphinx==4.3.2 # via @@ -717,12 +644,8 @@ tensorflow-metadata==1.7.0 # via feast (setup.py) termcolor==1.1.0 # via great-expectations -terminado==0.13.2 - # via notebook -testcontainers==3.4.2 +testcontainers==3.5.3 # via feast (setup.py) -testpath==0.6.0 - # via nbconvert toml==0.10.2 # via # black @@ -739,49 +662,39 @@ toolz==0.11.2 # altair # dask # partd -tornado==6.1 - # via - # ipykernel - # jupyter-client - # notebook - # terminado -tqdm==4.63.0 +tqdm==4.64.0 # via # feast (setup.py) # great-expectations traitlets==5.1.1 # via - # ipykernel # ipython - # ipywidgets - # jupyter-client # jupyter-core # matplotlib-inline - # nbclient - # nbconvert # nbformat - # notebook +trino==0.312.0 + # via feast (setup.py) typed-ast==1.5.2 # via black -types-protobuf==3.19.12 +types-protobuf==3.19.15 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.9 +types-python-dateutil==2.8.10 # via feast (setup.py) -types-pytz==2021.3.5 +types-pytz==2021.3.6 # via feast (setup.py) -types-pyyaml==6.0.4 +types-pyyaml==6.0.5 # via feast (setup.py) -types-redis==4.1.17 +types-redis==4.1.19 # via feast (setup.py) -types-requests==2.27.11 +types-requests==2.27.16 # via feast (setup.py) -types-setuptools==57.4.9 +types-setuptools==57.4.12 # via feast (setup.py) -types-tabulate==0.8.5 +types-tabulate==0.8.6 # via feast (setup.py) -types-urllib3==1.26.10 +types-urllib3==1.26.11 # via types-requests typing-extensions==4.1.1 # via @@ -789,52 +702,51 @@ typing-extensions==4.1.1 # great-expectations # mypy # pydantic -tzdata==2021.5 +tzdata==2022.1 # via pytz-deprecation-shim -tzlocal==4.1 +tzlocal==4.2 # via great-expectations uritemplate==4.1.1 # via google-api-python-client -urllib3==1.26.8 +urllib3==1.26.9 # via # botocore # feast (setup.py) + # great-expectations # minio # requests # responses -uvicorn[standard]==0.17.5 +uvicorn[standard]==0.17.6 # via feast (setup.py) uvloop==0.16.0 # via uvicorn -virtualenv==20.13.2 +virtualenv==20.14.1 # via pre-commit -watchgod==0.7 +watchgod==0.8.2 # via uvicorn wcwidth==0.2.5 # via prompt-toolkit -webencodings==0.5.1 - # via bleach -websocket-client==1.3.1 +websocket-client==1.3.2 # via docker websockets==10.2 # via uvicorn -werkzeug==2.0.3 +werkzeug==2.1.1 # via moto wheel==0.37.1 # via pip-tools -widgetsnbextension==3.5.2 - # via ipywidgets -wrapt==1.13.3 - # via testcontainers +wrapt==1.14.0 + # via + # deprecated + # testcontainers xmltodict==0.12.0 # via moto yarl==1.7.2 # via aiohttp -zipp==3.7.0 +zipp==3.8.0 # via # importlib-metadata # importlib-resources # The following packages are considered to be unsafe in a requirements file: # pip -# setuptools \ No newline at end of file +# setuptools diff --git a/sdk/python/requirements/py3.8-requirements.txt b/sdk/python/requirements/py3.8-requirements.txt index 4b996ef075a..9000c7b1f7b 100644 --- a/sdk/python/requirements/py3.8-requirements.txt +++ b/sdk/python/requirements/py3.8-requirements.txt @@ -7,18 +7,20 @@ absl-py==1.0.0 # via tensorflow-metadata anyio==3.5.0 - # via starlette -asgiref==3.4.1 + # via + # starlette + # watchgod +asgiref==3.5.0 # via uvicorn attrs==21.4.0 # via jsonschema -cachetools==4.2.4 +cachetools==5.0.0 # via google-auth certifi==2021.10.8 # via requests -charset-normalizer==2.0.10 +charset-normalizer==2.0.12 # via requests -click==8.0.3 +click==8.1.2 # via # feast (setup.py) # uvicorn @@ -30,57 +32,57 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.72.0 +fastapi==0.75.1 # via feast (setup.py) -fastavro==1.4.9 +fastavro==1.4.10 # via # feast (setup.py) # pandavro -fsspec==2022.2.0 +fsspec==2022.3.0 # via dask -google-api-core==2.4.0 +google-api-core==2.7.2 # via feast (setup.py) -google-auth==2.3.3 +google-auth==2.6.5 # via google-api-core googleapis-common-protos==1.52.0 # via # feast (setup.py) # google-api-core # tensorflow-metadata -grpcio==1.43.0 +grpcio==1.44.0 # via # feast (setup.py) # grpcio-reflection -grpcio-reflection==1.43.0 +grpcio-reflection==1.44.0 # via feast (setup.py) h11==0.13.0 # via uvicorn -httptools==0.3.0 +httptools==0.4.0 # via uvicorn idna==3.3 # via # anyio # requests -importlib-resources==5.4.0 +importlib-resources==5.7.0 # via jsonschema -jinja2==3.0.3 +jinja2==3.1.1 # via feast (setup.py) jsonschema==4.4.0 # via feast (setup.py) locket==0.2.1 # via partd -markupsafe==2.0.1 +markupsafe==2.1.1 # via jinja2 mmh3==3.0.0 # via feast (setup.py) -numpy==1.21.5 +numpy==1.22.3 # via # pandas # pandavro # pyarrow packaging==21.3 # via dask -pandas==1.3.5 +pandas==1.4.2 # via # feast (setup.py) # pandavro @@ -90,7 +92,7 @@ partd==1.2.0 # via dask proto-plus==1.19.6 # via feast (setup.py) -protobuf==3.19.3 +protobuf==3.19.4 # via # feast (setup.py) # google-api-core @@ -98,7 +100,7 @@ protobuf==3.19.3 # grpcio-reflection # proto-plus # tensorflow-metadata -pyarrow==6.0.1 +pyarrow==7.0.0 # via feast (setup.py) pyasn1==0.4.8 # via @@ -110,15 +112,15 @@ pydantic==1.9.0 # via # fastapi # feast (setup.py) -pyparsing==3.0.7 +pyparsing==3.0.8 # via packaging pyrsistent==0.18.1 # via jsonschema python-dateutil==2.8.2 # via pandas -python-dotenv==0.19.2 +python-dotenv==0.20.0 # via uvicorn -pytz==2021.3 +pytz==2022.1 # via pandas pyyaml==6.0 # via @@ -144,7 +146,7 @@ tabulate==0.8.9 # via feast (setup.py) tenacity==8.0.1 # via feast (setup.py) -tensorflow-metadata==1.6.0 +tensorflow-metadata==1.7.0 # via feast (setup.py) toml==0.10.2 # via feast (setup.py) @@ -152,22 +154,19 @@ toolz==0.11.2 # via # dask # partd -tqdm==4.62.3 +tqdm==4.64.0 # via feast (setup.py) -typing-extensions==4.0.1 +typing-extensions==4.1.1 # via pydantic -urllib3==1.26.8 +urllib3==1.26.9 # via requests -uvicorn[standard]==0.17.0 +uvicorn[standard]==0.17.6 # via feast (setup.py) uvloop==0.16.0 # via uvicorn -watchgod==0.7 +watchgod==0.8.2 # via uvicorn -websockets==10.1 +websockets==10.2 # via uvicorn -zipp==3.7.0 +zipp==3.8.0 # via importlib-resources - -# The following packages are considered to be unsafe in a requirements file: -# setuptools diff --git a/sdk/python/requirements/py3.9-ci-requirements.txt b/sdk/python/requirements/py3.9-ci-requirements.txt index cf228b9412b..1ab910a16d8 100644 --- a/sdk/python/requirements/py3.9-ci-requirements.txt +++ b/sdk/python/requirements/py3.9-ci-requirements.txt @@ -23,20 +23,16 @@ alabaster==0.7.12 altair==4.2.0 # via great-expectations anyio==3.5.0 - # via starlette + # via + # starlette + # watchgod appdirs==1.4.4 # via black -appnope==0.1.2 - # via - # ipykernel - # ipython -argon2-cffi==21.3.0 - # via notebook -argon2-cffi-bindings==21.2.0 - # via argon2-cffi +appnope==0.1.3 + # via ipython asgiref==3.5.0 # via uvicorn -asn1crypto==1.4.0 +asn1crypto==1.5.1 # via # oscrypto # snowflake-connector-python @@ -45,7 +41,9 @@ assertpy==1.1 asttokens==2.0.5 # via stack-data async-timeout==4.0.2 - # via aiohttp + # via + # aiohttp + # redis attrs==21.4.0 # via # aiohttp @@ -54,16 +52,16 @@ attrs==21.4.0 # pytest avro==1.10.0 # via feast (setup.py) -azure-core==1.23.0 +azure-core==1.23.1 # via # adlfs # azure-identity # azure-storage-blob azure-datalake-store==0.0.52 # via adlfs -azure-identity==1.8.0 +azure-identity==1.9.0 # via adlfs -azure-storage-blob==12.9.0 +azure-storage-blob==12.11.0 # via adlfs babel==2.9.1 # via sphinx @@ -71,13 +69,11 @@ backcall==0.2.0 # via ipython black==19.10b0 # via feast (setup.py) -bleach==4.1.0 - # via nbconvert -boto3==1.21.11 +boto3==1.21.41 # via # feast (setup.py) # moto -botocore==1.24.11 +botocore==1.24.41 # via # boto3 # moto @@ -94,7 +90,6 @@ certifi==2021.10.8 # snowflake-connector-python cffi==1.15.0 # via - # argon2-cffi-bindings # azure-datalake-store # cryptography # snowflake-connector-python @@ -105,7 +100,7 @@ charset-normalizer==2.0.12 # aiohttp # requests # snowflake-connector-python -click==8.0.4 +click==8.1.2 # via # black # feast (setup.py) @@ -115,30 +110,32 @@ click==8.0.4 cloudpickle==2.0.0 # via dask colorama==0.4.4 - # via feast (setup.py) + # via + # feast (setup.py) + # great-expectations coverage[toml]==6.3.2 # via pytest-cov -cryptography==3.3.2 +cryptography==3.4.8 # via # adal # azure-identity # azure-storage-blob # feast (setup.py) + # great-expectations # moto # msal - # pyjwt # pyopenssl # snowflake-connector-python dask==2022.1.1 # via feast (setup.py) -debugpy==1.5.1 - # via ipykernel +dataclasses==0.6 + # via great-expectations decorator==5.1.1 # via # gcsfs # ipython -defusedxml==0.7.1 - # via nbconvert +deprecated==1.2.13 + # via redis deprecation==2.1.0 # via testcontainers dill==0.3.4 @@ -154,20 +151,19 @@ docutils==0.17.1 # sphinx # sphinx-rtd-theme entrypoints==0.4 - # via - # altair - # jupyter-client - # nbconvert + # via altair execnet==1.9.0 # via pytest-xdist executing==0.8.3 # via stack-data -fastapi==0.74.1 +fastapi==0.75.1 # via feast (setup.py) -fastavro==1.4.9 +fastavro==1.4.10 # via # feast (setup.py) # pandavro +fastjsonschema==2.15.3 + # via nbformat filelock==3.6.0 # via virtualenv firebase-admin==4.5.2 @@ -178,12 +174,12 @@ frozenlist==1.3.0 # via # aiohttp # aiosignal -fsspec==2022.2.0 +fsspec==2022.3.0 # via # adlfs # dask # gcsfs -gcsfs==2022.2.0 +gcsfs==2022.3.0 # via feast (setup.py) google-api-core[grpc]==1.31.5 # via @@ -195,7 +191,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.39.0 +google-api-python-client==2.44.0 # via firebase-admin google-auth==1.35.0 # via @@ -208,11 +204,11 @@ google-auth==1.35.0 # google-cloud-storage google-auth-httplib2==0.1.0 # via google-api-python-client -google-auth-oauthlib==0.5.0 +google-auth-oauthlib==0.5.1 # via gcsfs -google-cloud-bigquery==2.34.1 +google-cloud-bigquery==2.34.3 # via feast (setup.py) -google-cloud-bigquery-storage==2.12.0 +google-cloud-bigquery-storage==2.13.1 # via feast (setup.py) google-cloud-core==1.7.2 # via @@ -221,9 +217,9 @@ google-cloud-core==1.7.2 # google-cloud-datastore # google-cloud-firestore # google-cloud-storage -google-cloud-datastore==2.5.0 +google-cloud-datastore==2.5.1 # via feast (setup.py) -google-cloud-firestore==2.3.4 +google-cloud-firestore==2.4.0 # via firebase-admin google-cloud-storage==1.40.0 # via @@ -241,7 +237,7 @@ googleapis-common-protos==1.52.0 # feast (setup.py) # google-api-core # tensorflow-metadata -great-expectations==0.14.8 +great-expectations==0.14.13 # via feast (setup.py) grpcio==1.44.0 # via @@ -265,9 +261,9 @@ httplib2==0.20.4 # via # google-api-python-client # google-auth-httplib2 -httptools==0.3.0 +httptools==0.4.0 # via uvicorn -identify==2.4.11 +identify==2.4.12 # via pre-commit idna==3.3 # via @@ -277,24 +273,11 @@ idna==3.3 # yarl imagesize==1.3.0 # via sphinx -importlib-metadata==4.11.2 +importlib-metadata==4.11.3 # via great-expectations iniconfig==1.1.1 # via pytest -ipykernel==6.9.1 - # via - # ipywidgets - # notebook -ipython==8.1.1 - # via - # ipykernel - # ipywidgets -ipython-genutils==0.2.0 - # via - # ipywidgets - # nbformat - # notebook -ipywidgets==7.6.5 +ipython==8.2.0 # via great-expectations isodate==0.6.1 # via msrest @@ -308,16 +291,14 @@ jinja2==3.0.3 # feast (setup.py) # great-expectations # moto - # nbconvert - # notebook # sphinx -jmespath==0.10.0 +jmespath==1.0.0 # via # boto3 # botocore jsonpatch==1.32 # via great-expectations -jsonpointer==2.2 +jsonpointer==2.3 # via jsonpatch jsonschema==4.4.0 # via @@ -325,44 +306,27 @@ jsonschema==4.4.0 # feast (setup.py) # great-expectations # nbformat -jupyter-client==7.1.2 - # via - # ipykernel - # nbclient - # notebook jupyter-core==4.9.2 - # via - # jupyter-client - # nbconvert - # nbformat - # notebook -jupyterlab-pygments==0.1.2 - # via nbconvert -jupyterlab-widgets==1.0.2 - # via ipywidgets + # via nbformat locket==0.2.1 # via partd -markupsafe==2.1.0 +markupsafe==2.1.1 # via # jinja2 # moto matplotlib-inline==0.1.3 - # via - # ipykernel - # ipython + # via ipython mccabe==0.6.1 # via flake8 minio==7.1.0 # via feast (setup.py) -mistune==0.8.4 - # via - # great-expectations - # nbconvert +mistune==2.0.2 + # via great-expectations mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.0.5 +moto==3.1.4 # via feast (setup.py) msal==1.17.0 # via @@ -386,29 +350,13 @@ mypy==0.931 # via feast (setup.py) mypy-extensions==0.4.3 # via mypy -mypy-protobuf==3.1.0 - # via feast (setup.py) -nbclient==0.5.11 - # via nbconvert -nbconvert==6.4.2 - # via notebook -nbformat==5.1.3 - # via - # ipywidgets - # nbclient - # nbconvert - # notebook -nest-asyncio==1.5.4 - # via - # ipykernel - # jupyter-client - # nbclient - # notebook +mypy-protobuf==3.1 + # via feast (setup.py) +nbformat==5.3.0 + # via great-expectations nodeenv==1.6.0 # via pre-commit -notebook==6.4.10 - # via widgetsnbextension -numpy==1.22.2 +numpy==1.22.3 # via # altair # great-expectations @@ -418,17 +366,17 @@ numpy==1.22.2 # scipy oauthlib==3.2.0 # via requests-oauthlib -oscrypto==1.2.1 +oscrypto==1.3.0 # via snowflake-connector-python packaging==21.3 # via - # bleach # dask # deprecation # google-api-core # google-cloud-bigquery - # google-cloud-firestore + # great-expectations # pytest + # redis # sphinx pandas==1.3.5 # via @@ -439,8 +387,6 @@ pandas==1.3.5 # snowflake-connector-python pandavro==1.5.2 # via feast (setup.py) -pandocfilters==1.5.0 - # via nbconvert parso==0.8.3 # via jedi partd==1.2.0 @@ -455,7 +401,7 @@ pexpect==4.8.0 # via ipython pickleshare==0.7.5 # via ipython -pip-tools==6.5.1 +pip-tools==6.6.0 # via feast (setup.py) platformdirs==2.5.1 # via virtualenv @@ -463,11 +409,9 @@ pluggy==1.0.0 # via pytest portalocker==2.4.0 # via msal-extensions -pre-commit==2.17.0 +pre-commit==2.18.1 # via feast (setup.py) -prometheus-client==0.13.1 - # via notebook -prompt-toolkit==3.0.28 +prompt-toolkit==3.0.29 # via ipython proto-plus==1.19.6 # via @@ -491,9 +435,7 @@ protobuf==3.19.4 psutil==5.9.0 # via feast (setup.py) ptyprocess==0.7.0 - # via - # pexpect - # terminado + # via pexpect pure-eval==0.2.2 # via stack-data py==1.11.0 @@ -514,7 +456,7 @@ pyasn1==0.4.8 # rsa pyasn1-modules==0.2.8 # via google-auth -pybindgen==0.22.0 +pybindgen==0.22.1 # via feast (setup.py) pycodestyle==2.8.0 # via flake8 @@ -531,8 +473,6 @@ pyflakes==2.4.0 pygments==2.11.2 # via # ipython - # jupyterlab-pygments - # nbconvert # sphinx pyjwt[crypto]==2.3.0 # via @@ -550,7 +490,7 @@ pyrsistent==0.18.1 # via jsonschema pyspark==3.2.1 # via feast (setup.py) -pytest==7.0.1 +pytest==7.1.1 # via # feast (setup.py) # pytest-benchmark @@ -583,12 +523,11 @@ python-dateutil==2.8.2 # botocore # google-cloud-bigquery # great-expectations - # jupyter-client # moto # pandas -python-dotenv==0.19.2 +python-dotenv==0.20.0 # via uvicorn -pytz==2021.3 +pytz==2022.1 # via # babel # google-api-core @@ -596,6 +535,7 @@ pytz==2021.3 # moto # pandas # snowflake-connector-python + # trino pytz-deprecation-shim==0.1.0.post0 # via tzlocal pyyaml==6.0 @@ -604,17 +544,9 @@ pyyaml==6.0 # feast (setup.py) # pre-commit # uvicorn -pyzmq==22.3.0 - # via - # jupyter-client - # notebook -redis==3.5.3 - # via - # feast (setup.py) - # redis-py-cluster -redis-py-cluster==2.1.3 +redis==4.2.2 # via feast (setup.py) -regex==2022.3.2 +regex==2022.3.15 # via black requests==2.27.1 # via @@ -636,39 +568,34 @@ requests==2.27.1 # responses # snowflake-connector-python # sphinx + # trino requests-oauthlib==1.3.1 # via # google-auth-oauthlib # msrest -responses==0.18.0 +responses==0.20.0 # via moto rsa==4.8 # via google-auth -ruamel.yaml==0.17.17 +ruamel-yaml==0.17.17 # via great-expectations -ruamel.yaml.clib==0.2.6 - # via ruamel.yaml +ruamel-yaml-clib==0.2.6 + # via ruamel-yaml s3transfer==0.5.2 # via boto3 scipy==1.8.0 # via great-expectations -send2trash==1.8.0 - # via notebook six==1.16.0 # via # absl-py - # asttokens # azure-core # azure-identity - # bleach - # cryptography # google-api-core # google-auth # google-auth-httplib2 # google-cloud-core # google-resumable-media # grpcio - # isodate # mock # msrestazure # pandavro @@ -679,7 +606,7 @@ sniffio==1.2.0 # via anyio snowballstemmer==2.2.0 # via sphinx -snowflake-connector-python[pandas]==2.7.4 +snowflake-connector-python[pandas]==2.7.6 # via feast (setup.py) sphinx==4.3.2 # via @@ -711,12 +638,8 @@ tensorflow-metadata==1.7.0 # via feast (setup.py) termcolor==1.1.0 # via great-expectations -terminado==0.13.2 - # via notebook -testcontainers==3.4.2 +testcontainers==3.5.3 # via feast (setup.py) -testpath==0.6.0 - # via nbconvert toml==0.10.2 # via # black @@ -733,49 +656,39 @@ toolz==0.11.2 # altair # dask # partd -tornado==6.1 - # via - # ipykernel - # jupyter-client - # notebook - # terminado -tqdm==4.63.0 +tqdm==4.64.0 # via # feast (setup.py) # great-expectations traitlets==5.1.1 # via - # ipykernel # ipython - # ipywidgets - # jupyter-client # jupyter-core # matplotlib-inline - # nbclient - # nbconvert # nbformat - # notebook +trino==0.312.0 + # via feast (setup.py) typed-ast==1.5.2 # via black -types-protobuf==3.19.12 +types-protobuf==3.19.15 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.9 +types-python-dateutil==2.8.10 # via feast (setup.py) -types-pytz==2021.3.5 +types-pytz==2021.3.6 # via feast (setup.py) -types-pyyaml==6.0.4 +types-pyyaml==6.0.5 # via feast (setup.py) -types-redis==4.1.17 +types-redis==4.1.19 # via feast (setup.py) -types-requests==2.27.11 +types-requests==2.27.16 # via feast (setup.py) -types-setuptools==57.4.9 +types-setuptools==57.4.12 # via feast (setup.py) -types-tabulate==0.8.5 +types-tabulate==0.8.6 # via feast (setup.py) -types-urllib3==1.26.10 +types-urllib3==1.26.11 # via types-requests typing-extensions==4.1.1 # via @@ -783,48 +696,47 @@ typing-extensions==4.1.1 # great-expectations # mypy # pydantic -tzdata==2021.5 +tzdata==2022.1 # via pytz-deprecation-shim -tzlocal==4.1 +tzlocal==4.2 # via great-expectations uritemplate==4.1.1 # via google-api-python-client -urllib3==1.26.8 +urllib3==1.26.9 # via # botocore # feast (setup.py) + # great-expectations # minio # requests # responses -uvicorn[standard]==0.17.5 +uvicorn[standard]==0.17.6 # via feast (setup.py) uvloop==0.16.0 # via uvicorn -virtualenv==20.13.2 +virtualenv==20.14.1 # via pre-commit -watchgod==0.7 +watchgod==0.8.2 # via uvicorn wcwidth==0.2.5 # via prompt-toolkit -webencodings==0.5.1 - # via bleach -websocket-client==1.3.1 +websocket-client==1.3.2 # via docker websockets==10.2 # via uvicorn -werkzeug==2.0.3 +werkzeug==2.1.1 # via moto wheel==0.37.1 # via pip-tools -widgetsnbextension==3.5.2 - # via ipywidgets -wrapt==1.13.3 - # via testcontainers +wrapt==1.14.0 + # via + # deprecated + # testcontainers xmltodict==0.12.0 # via moto yarl==1.7.2 # via aiohttp -zipp==3.7.0 +zipp==3.8.0 # via importlib-metadata # The following packages are considered to be unsafe in a requirements file: diff --git a/sdk/python/requirements/py3.9-requirements.txt b/sdk/python/requirements/py3.9-requirements.txt index 67ef8ada9e0..6413886c5b4 100644 --- a/sdk/python/requirements/py3.9-requirements.txt +++ b/sdk/python/requirements/py3.9-requirements.txt @@ -7,18 +7,20 @@ absl-py==1.0.0 # via tensorflow-metadata anyio==3.5.0 - # via starlette -asgiref==3.4.1 + # via + # starlette + # watchgod +asgiref==3.5.0 # via uvicorn attrs==21.4.0 # via jsonschema -cachetools==4.2.4 +cachetools==5.0.0 # via google-auth certifi==2021.10.8 # via requests -charset-normalizer==2.0.10 +charset-normalizer==2.0.12 # via requests -click==8.0.3 +click==8.1.2 # via # feast (setup.py) # uvicorn @@ -30,55 +32,55 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.72.0 +fastapi==0.75.1 # via feast (setup.py) -fastavro==1.4.9 +fastavro==1.4.10 # via # feast (setup.py) # pandavro -fsspec==2022.2.0 +fsspec==2022.3.0 # via dask -google-api-core==2.4.0 +google-api-core==2.7.2 # via feast (setup.py) -google-auth==2.3.3 +google-auth==2.6.5 # via google-api-core googleapis-common-protos==1.52.0 # via # feast (setup.py) # google-api-core # tensorflow-metadata -grpcio==1.43.0 +grpcio==1.44.0 # via # feast (setup.py) # grpcio-reflection -grpcio-reflection==1.43.0 +grpcio-reflection==1.44.0 # via feast (setup.py) h11==0.13.0 # via uvicorn -httptools==0.3.0 +httptools==0.4.0 # via uvicorn idna==3.3 # via # anyio # requests -jinja2==3.0.3 +jinja2==3.1.1 # via feast (setup.py) jsonschema==4.4.0 # via feast (setup.py) locket==0.2.1 # via partd -markupsafe==2.0.1 +markupsafe==2.1.1 # via jinja2 mmh3==3.0.0 # via feast (setup.py) -numpy==1.21.5 +numpy==1.22.3 # via # pandas # pandavro # pyarrow packaging==21.3 # via dask -pandas==1.3.5 +pandas==1.4.2 # via # feast (setup.py) # pandavro @@ -88,7 +90,7 @@ partd==1.2.0 # via dask proto-plus==1.19.6 # via feast (setup.py) -protobuf==3.19.3 +protobuf==3.19.4 # via # feast (setup.py) # google-api-core @@ -96,7 +98,7 @@ protobuf==3.19.3 # grpcio-reflection # proto-plus # tensorflow-metadata -pyarrow==6.0.1 +pyarrow==7.0.0 # via feast (setup.py) pyasn1==0.4.8 # via @@ -108,15 +110,15 @@ pydantic==1.9.0 # via # fastapi # feast (setup.py) -pyparsing==3.0.7 +pyparsing==3.0.8 # via packaging pyrsistent==0.18.1 # via jsonschema python-dateutil==2.8.2 # via pandas -python-dotenv==0.19.2 +python-dotenv==0.20.0 # via uvicorn -pytz==2021.3 +pytz==2022.1 # via pandas pyyaml==6.0 # via @@ -142,7 +144,7 @@ tabulate==0.8.9 # via feast (setup.py) tenacity==8.0.1 # via feast (setup.py) -tensorflow-metadata==1.6.0 +tensorflow-metadata==1.7.0 # via feast (setup.py) toml==0.10.2 # via feast (setup.py) @@ -150,20 +152,17 @@ toolz==0.11.2 # via # dask # partd -tqdm==4.62.3 +tqdm==4.64.0 # via feast (setup.py) -typing-extensions==4.0.1 +typing-extensions==4.1.1 # via pydantic -urllib3==1.26.8 +urllib3==1.26.9 # via requests -uvicorn[standard]==0.17.0 +uvicorn[standard]==0.17.6 # via feast (setup.py) uvloop==0.16.0 # via uvicorn -watchgod==0.7 +watchgod==0.8.2 # via uvicorn -websockets==10.1 +websockets==10.2 # via uvicorn - -# The following packages are considered to be unsafe in a requirements file: -# setuptools diff --git a/sdk/python/setup.py b/sdk/python/setup.py index dbecd26e2b7..af6eaea3112 100644 --- a/sdk/python/setup.py +++ b/sdk/python/setup.py @@ -72,7 +72,7 @@ ] GCP_REQUIRED = [ - "google-cloud-bigquery>=2.28.1", + "google-cloud-bigquery>=2,<3", "google-cloud-bigquery-storage >= 2.0.0", "google-cloud-datastore>=2.1.*", "google-cloud-storage>=1.34.*,<1.41", @@ -80,8 +80,7 @@ ] REDIS_REQUIRED = [ - "redis==3.5.3", - "redis-py-cluster>=2.1.3", + "redis==4.2.2", "hiredis>=2.0.0", ] @@ -108,7 +107,7 @@ CI_REQUIRED = ( [ - "cryptography==3.3.2", + "cryptography==3.4.8", "flake8", "black==19.10b0", "isort>=5", From 53c2ce2c2255791fdd85aa80d69ab6214106e169 Mon Sep 17 00:00:00 2001 From: sfc-gh-madkins <82121043+sfc-gh-madkins@users.noreply.github.com> Date: Fri, 15 Apr 2022 23:26:24 -0500 Subject: [PATCH 05/87] fix: Fixed data mapping errors for Snowflake (#2558) * fixed data mapping errors Signed-off-by: Miles Adkins * fixed data mapping errors Signed-off-by: Miles Adkins --- sdk/python/feast/type_map.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sdk/python/feast/type_map.py b/sdk/python/feast/type_map.py index 9798faf508b..a94d8aa59ba 100644 --- a/sdk/python/feast/type_map.py +++ b/sdk/python/feast/type_map.py @@ -529,7 +529,8 @@ def snowflake_python_type_to_feast_value_type( "uint8": ValueType.INT32, "int8": ValueType.INT32, "datetime64[ns]": ValueType.UNIX_TIMESTAMP, - "object": ValueType.UNKNOWN, + "object": ValueType.STRING, + "bool": ValueType.BOOL, } return type_map[snowflake_python_type_as_str.lower()] From 72f155882c95f21573b31a613edf066bdb55f630 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Sun, 17 Apr 2022 23:18:53 -0700 Subject: [PATCH 06/87] fix: Teardown trino container correctly after tests (#2562) Signed-off-by: Achal Shah --- Makefile | 2 +- sdk/python/tests/conftest.py | 13 +++++++++++-- 2 files changed, 12 insertions(+), 3 deletions(-) diff --git a/Makefile b/Makefile index 4d961a04725..4804271dff9 100644 --- a/Makefile +++ b/Makefile @@ -147,7 +147,7 @@ install-go-ci-dependencies: go install github.com/go-python/gopy install-protoc-dependencies: - pip install grpcio-tools==1.34.0 + pip install grpcio-tools==1.44.0 compile-protos-go: install-go-proto-dependencies install-protoc-dependencies cd sdk/python && python setup.py build_go_protos diff --git a/sdk/python/tests/conftest.py b/sdk/python/tests/conftest.py index c72a3af7543..2ff97649d64 100644 --- a/sdk/python/tests/conftest.py +++ b/sdk/python/tests/conftest.py @@ -195,15 +195,24 @@ def teardown(cls): cls.container.stop() +@pytest.fixture(scope="session") +def trino_fixture(request): + def teardown(): + TrinoContainerSingleton.teardown() + + request.addfinalizer(teardown) + return TrinoContainerSingleton + + @pytest.fixture( params=FULL_REPO_CONFIGS, scope="session", ids=[str(c) for c in FULL_REPO_CONFIGS] ) -def environment(request, worker_id: str): +def environment(request, worker_id: str, trino_fixture): if "TrinoSourceCreator" in request.param.offline_store_creator.__name__: e = construct_test_environment( request.param, worker_id=worker_id, - offline_container=TrinoContainerSingleton.get_singleton(), + offline_container=trino_fixture.get_singleton(), ) else: e = construct_test_environment(request.param, worker_id=worker_id) From b10a4cfec40514d5c36cefdb4be24d39fdb1e74a Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Mon, 18 Apr 2022 21:04:32 +0300 Subject: [PATCH 07/87] fix: Build platform specific python packages with ci-build-wheel (#2555) * ci build wheel Signed-off-by: pyalex * compile go only with env var Signed-off-by: pyalex * filter go extensions Signed-off-by: pyalex * copy full directory on inplace build_ext Signed-off-by: pyalex * copytree from distutils Signed-off-by: pyalex --- .github/workflows/publish.yml | 156 ++++++++++++++++++++-------------- Makefile | 4 +- sdk/python/setup.py | 118 +++++++++++++------------ 3 files changed, 158 insertions(+), 120 deletions(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index f8a8d40fb34..a84b9384f03 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -126,95 +126,121 @@ jobs: run: ./infra/scripts/helm/push-helm-charts.sh $VERSION_WITHOUT_PREFIX publish-python-sdk: + runs-on: ubuntu-latest + needs: [build-python-sdk, build-python-sdk-no-telemetry, build-python-sdk-macos-py310] + steps: + - uses: actions/download-artifact@v2 + with: + name: wheels + path: dist + - uses: pypa/gh-action-pypi-publish@v1.4.2 + with: + user: __token__ + password: ${{ secrets.PYPI_PASSWORD }} + + + build-python-sdk: + name: Build wheels on ${{ matrix.os }} runs-on: ${{ matrix.os }} strategy: - fail-fast: false matrix: - python-version: [ "3.7", "3.8", "3.9", "3.10" ] - os: [ ubuntu-latest, macOS-latest ] - compile-go: [ True ] - include: - - python-version: "3.7" - os: ubuntu-latest - compile-go: False - env: - TWINE_USERNAME: __token__ - TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }} - COMPILE_GO: ${{ matrix.compile-go }} + os: [ ubuntu-latest, macos-10.15 ] + steps: - uses: actions/checkout@v2 - - name: Setup Python - id: setup-python - uses: actions/setup-python@v2 + + - name: Build wheels + uses: pypa/cibuildwheel@v2.4.0 with: - python-version: ${{ matrix.python-version }} - architecture: x64 - - name: Setup Go - id: setup-go - uses: actions/setup-go@v2 + package-dir: sdk/python + env: + CIBW_BUILD: "cp3*_x86_64" + CIBW_SKIP: "cp36-* *-musllinux_x86_64 cp310-macosx_x86_64" + CIBW_ARCHS: "native" + CIBW_ENVIRONMENT: > + COMPILE_GO=True + CIBW_BEFORE_ALL_LINUX: | + yum install -y golang + CIBW_BEFORE_ALL_MACOS: | + curl -o python.pkg https://www.python.org/ftp/python/3.9.12/python-3.9.12-macosx10.9.pkg + sudo installer -pkg python.pkg -target / + CIBW_BEFORE_BUILD: | + make install-protoc-dependencies + make install-go-proto-dependencies + make install-go-ci-dependencies + + - uses: actions/upload-artifact@v2 with: - go-version: 1.17.7 - - name: Upgrade pip version - run: | - pip install --upgrade "pip>=21.3.1" - - name: Install pip-tools - run: pip install pip-tools - - name: Install dependencies - run: make install-python-ci-dependencies PYTHON=${{ matrix.python-version }} - - name: Publish Python Package - run: | - cd sdk/python - python3 -m pip install --user --upgrade setuptools wheel twine - python3 setup.py sdist bdist_wheel - python3 -m twine upload --verbose dist/*.whl + name: wheels + path: ./wheelhouse/*.whl + - publish-python-sdk-no-telemetry: + build-python-sdk-no-telemetry: + name: Build no telemetry wheels on ${{ matrix.os }} runs-on: ${{ matrix.os }} strategy: - fail-fast: false matrix: - python-version: [ "3.7", "3.8", "3.9", "3.10" ] - os: [ ubuntu-latest, macOS-latest ] - compile-go: [ True ] - include: - - python-version: "3.7" - os: ubuntu-latest - compile-go: False + os: [ ubuntu-latest, macos-10.15 ] needs: get-version + steps: + - uses: actions/checkout@v2 + - run: | + cd sdk/python + sed -i.bak 's/DEFAULT_FEAST_USAGE_VALUE = "True"/DEFAULT_FEAST_USAGE_VALUE = "False"/g' feast/constants.py + sed -i.bak 's/NAME = "feast"/NAME = "feast-no-telemetry"/g' setup.py + - name: Build wheels + uses: pypa/cibuildwheel@v2.4.0 + with: + package-dir: sdk/python + env: + CIBW_BUILD: "cp3*_x86_64" + CIBW_SKIP: "cp36-* *-musllinux_x86_64 cp310-macosx_x86_64" + CIBW_ARCHS: "native" + CIBW_ENVIRONMENT: > + COMPILE_GO=True SETUPTOOLS_SCM_PRETEND_VERSION="${{ needs.get-version.outputs.version_without_prefix }}" + CIBW_BEFORE_ALL_LINUX: | + yum install -y golang + CIBW_BEFORE_ALL_MACOS: | + curl -o python.pkg https://www.python.org/ftp/python/3.9.12/python-3.9.12-macosx10.9.pkg + sudo installer -pkg python.pkg -target / + CIBW_BEFORE_BUILD: | + make install-protoc-dependencies + make install-go-proto-dependencies + make install-go-ci-dependencies + + - uses: actions/upload-artifact@v2 + with: + name: wheels + path: ./wheelhouse/*.whl + + build-python-sdk-macos-py310: + runs-on: macos-10.15 env: - TWINE_USERNAME: __token__ - TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }} - COMPILE_GO: ${{ matrix.compile-go }} + COMPILE_GO: True steps: - uses: actions/checkout@v2 - name: Setup Python id: setup-python uses: actions/setup-python@v2 with: - python-version: ${{ matrix.python-version }} + python-version: "3.10" architecture: x64 - - name: Setup Go - id: setup-go - uses: actions/setup-go@v2 - with: - go-version: 1.17.7 - - name: Upgrade pip version - run: | - pip install --upgrade "pip>=21.3.1" - - name: Install pip-tools - run: pip install pip-tools - name: Install dependencies - run: make install-python-ci-dependencies PYTHON=${{ matrix.python-version }} - - name: Publish Python Package - env: - SETUPTOOLS_SCM_PRETEND_VERSION: ${{ needs.get-version.outputs.version_without_prefix }} + run: | + pip install -U pip setuptools wheel twine + make install-protoc-dependencies + make install-go-proto-dependencies + make install-go-ci-dependencies + - name: Build run: | cd sdk/python - sed -i 's/DEFAULT_FEAST_USAGE_VALUE = "True"/DEFAULT_FEAST_USAGE_VALUE = "False"/g' feast/constants.py - sed -i 's/NAME = "feast"/NAME = "feast-no-telemetry"/g' setup.py - python3 -m pip install --user --upgrade setuptools wheel twine python3 setup.py sdist bdist_wheel - python3 -m twine upload --verbose dist/*.whl + + - uses: actions/upload-artifact@v2 + with: + name: wheels + path: sdk/python/dist/* + publish-java-sdk: container: maven:3.6-jdk-11 diff --git a/Makefile b/Makefile index 4804271dff9..41041d7c081 100644 --- a/Makefile +++ b/Makefile @@ -145,15 +145,15 @@ install-go-ci-dependencies: go get github.com/go-python/gopy go install golang.org/x/tools/cmd/goimports go install github.com/go-python/gopy + python -m pip install pybindgen==0.22.0 install-protoc-dependencies: - pip install grpcio-tools==1.44.0 + pip install grpcio-tools==1.44.0 mypy-protobuf==3.1.0 compile-protos-go: install-go-proto-dependencies install-protoc-dependencies cd sdk/python && python setup.py build_go_protos compile-go-lib: install-go-proto-dependencies install-go-ci-dependencies - python -m pip install pybindgen==0.22.0 cd sdk/python && python setup.py build_go_lib # Needs feast package to setup the feature store diff --git a/sdk/python/setup.py b/sdk/python/setup.py index af6eaea3112..ed1a1a7f9f4 100644 --- a/sdk/python/setup.py +++ b/sdk/python/setup.py @@ -11,7 +11,9 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +import copy import glob +import json import os import pathlib import re @@ -19,21 +21,23 @@ import subprocess import sys from distutils.cmd import Command +from distutils.dir_util import copy_tree from pathlib import Path from subprocess import CalledProcessError -from setuptools import find_packages +from setuptools import find_packages, Extension try: from setuptools import setup from setuptools.command.build_py import build_py + from setuptools.command.build_ext import build_ext as _build_ext from setuptools.command.develop import develop from setuptools.command.install import install - from setuptools.dist import Distribution + except ImportError: from distutils.command.build_py import build_py + from distutils.command.build_ext import build_ext as _build_ext from distutils.core import setup - from distutils.dist import Distribution NAME = "feast" DESCRIPTION = "Python SDK for Feast" @@ -189,7 +193,7 @@ class BuildPythonProtosCommand(Command): def initialize_options(self): self.python_protoc = [ - "python", + sys.executable, "-m", "grpc_tools.protoc", ] # find_executable("protoc") @@ -292,7 +296,7 @@ class BuildGoProtosCommand(Command): def initialize_options(self): self.go_protoc = [ - "python", + sys.executable, "-m", "grpc_tools.protoc", ] # find_executable("protoc") @@ -331,45 +335,6 @@ def run(self): self._generate_go_protos(f"feast/{sub_folder}/*.proto") -class BuildGoEmbeddedCommand(Command): - description = "Builds Go embedded library" - user_options = [] - - def initialize_options(self) -> None: - self.path_val = _generate_path_with_gopath() - - self.go_env = {} - for var in ("GOCACHE", "GOPATH"): - self.go_env[var] = subprocess \ - .check_output(["go", "env", var]) \ - .decode("utf-8") \ - .strip() - - def finalize_options(self) -> None: - pass - - def _compile_embedded_lib(self): - print("Compile embedded go") - subprocess.check_call([ - "gopy", - "build", - "-output", - "feast/embedded_go/lib", - "-vm", - # Path of current python executable - sys.executable, - "-no-make", - "github.com/feast-dev/feast/go/embedded" - ], env={ - "PATH": self.path_val, - "CGO_LDFLAGS_ALLOW": ".*", - **self.go_env, - }) - - def run(self): - self._compile_embedded_lib() - - class BuildCommand(build_py): """Custom build command.""" @@ -378,7 +343,7 @@ def run(self): if os.getenv("COMPILE_GO", "false").lower() == "true": _ensure_go_and_proto_toolchain() self.run_command("build_go_protos") - self.run_command("build_go_lib") + build_py.run(self) @@ -390,15 +355,61 @@ def run(self): if os.getenv("COMPILE_GO", "false").lower() == "true": _ensure_go_and_proto_toolchain() self.run_command("build_go_protos") - self.run_command("build_go_lib") + develop.run(self) -class BinaryDistribution(Distribution): - """Distribution which forces a binary package with platform name - when go compilation is enabled""" - def has_ext_modules(self): - return os.getenv("COMPILE_GO", "false").lower() == "true" +class build_ext(_build_ext): + def finalize_options(self) -> None: + super().finalize_options() + if os.getenv("COMPILE_GO", "false").lower() == "false": + self.extensions = [e for e in self.extensions if not self._is_go_ext(e)] + + def _is_go_ext(self, ext: Extension): + return any(source.endswith('.go') or source.startswith('github') for source in ext.sources) + + def build_extension(self, ext: Extension): + if not self._is_go_ext(ext): + # the base class may mutate `self.compiler` + compiler = copy.deepcopy(self.compiler) + self.compiler, compiler = compiler, self.compiler + try: + return _build_ext.build_extension(self, ext) + finally: + self.compiler, compiler = compiler, self.compiler + + bin_path = _generate_path_with_gopath() + go_env = json.loads( + subprocess.check_output(["go", "env", "-json"]).decode("utf-8").strip() + ) + + destination = os.path.dirname(os.path.abspath(self.get_ext_fullpath(ext.name))) + subprocess.check_call([ + "gopy", + "build", + "-output", + destination, + "-vm", + sys.executable, + "-no-make", + *ext.sources + ], env={ + "PATH": bin_path, + "CGO_LDFLAGS_ALLOW": ".*", + **go_env, + }) + + def copy_extensions_to_source(self): + build_py = self.get_finalized_command('build_py') + for ext in self.extensions: + fullname = self.get_ext_fullname(ext.name) + modpath = fullname.split('.') + package = '.'.join(modpath[:-1]) + package_dir = build_py.get_package_dir(package) + src = os.path.join(self.build_lib, package_dir) + + # copy whole directory + copy_tree(src, package_dir) setup( @@ -453,9 +464,10 @@ def has_ext_modules(self): cmdclass={ "build_python_protos": BuildPythonProtosCommand, "build_go_protos": BuildGoProtosCommand, - "build_go_lib": BuildGoEmbeddedCommand, "build_py": BuildCommand, "develop": DevelopCommand, + "build_ext": build_ext, }, - distclass=BinaryDistribution, # generate wheel with platform-specific name + ext_modules=[Extension('feast.embedded_go.lib._embedded', + ["github.com/feast-dev/feast/go/embedded"])], ) From 54ad3b63e3a16390cce53f3c39c791aa74cd8278 Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Mon, 18 Apr 2022 14:40:29 -0700 Subject: [PATCH 08/87] chore: Add Snowflake to AWS Lambda feature server Dockerfile (#2565) * Add Snowflake to AWS Lambda feature server Dockerfile Signed-off-by: Felix Wang * Add TODO Signed-off-by: Felix Wang --- sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile b/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile index 5b685dbcf61..0c342a77ce4 100644 --- a/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile +++ b/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile @@ -10,7 +10,9 @@ COPY go go COPY README.md README.md # Install Feast for AWS with Lambda dependencies -RUN pip3 install -e 'sdk/python[aws,redis]' +# TODO(felixwang9817): Remove Snowflake dependencies once lazy loading of offline stores is supported. +# See https://github.com/feast-dev/feast/issues/2566 for more details. +RUN pip3 install -e 'sdk/python[aws,redis,snowflake]' RUN pip3 install -r sdk/python/feast/infra/feature_servers/aws_lambda/requirements.txt --target "${LAMBDA_TASK_ROOT}" # Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile) From d1f76e5aa5d2e2006296b3ca2cd9b08816ea0d9b Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Mon, 18 Apr 2022 15:17:29 -0700 Subject: [PATCH 09/87] feat: Create stream and batch feature view abstractions (#2559) * feat: Create stream and batch feature view abstractions Signed-off-by: Achal Shah * CR Signed-off-by: Achal Shah * CR Signed-off-by: Achal Shah --- CONTRIBUTING.md | 1 + sdk/python/feast/batch_feature_view.py | 58 +++++++++++++++++ sdk/python/feast/stream_feature_view.py | 54 ++++++++++++++++ sdk/python/tests/unit/test_feature_views.py | 70 +++++++++++++++++++++ 4 files changed, 183 insertions(+) create mode 100644 sdk/python/feast/batch_feature_view.py create mode 100644 sdk/python/feast/stream_feature_view.py create mode 100644 sdk/python/tests/unit/test_feature_views.py diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index cb17012eea3..de242fea540 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -176,6 +176,7 @@ The services with containerized replacements currently implemented are: - Datastore - DynamoDB - Redis +- Trino You can run `make test-python-integration-container` to run tests against the containerized versions of dependencies. diff --git a/sdk/python/feast/batch_feature_view.py b/sdk/python/feast/batch_feature_view.py new file mode 100644 index 00000000000..2f9fb080dbd --- /dev/null +++ b/sdk/python/feast/batch_feature_view.py @@ -0,0 +1,58 @@ +from datetime import timedelta +from typing import Dict, List, Optional, Union + +from feast.data_source import DataSource +from feast.entity import Entity +from feast.feature_view import FeatureView +from feast.field import Field +from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto + +SUPPORTED_BATCH_SOURCES = { + "BigQuerySource", + "FileSource", + "RedshiftSource", + "SnowflakeSource", + "SparkSource", + "TrinoSource", +} + + +class BatchFeatureView(FeatureView): + def __init__( + self, + *, + name: Optional[str] = None, + entities: Optional[Union[List[Entity], List[str]]] = None, + ttl: Optional[timedelta] = None, + tags: Optional[Dict[str, str]] = None, + online: bool = True, + description: str = "", + owner: str = "", + schema: Optional[List[Field]] = None, + source: Optional[DataSource] = None, + ): + + if source is None: + raise ValueError("Feature views need a source specified") + if ( + type(source).__name__ not in SUPPORTED_BATCH_SOURCES + and source.to_proto().type != DataSourceProto.SourceType.CUSTOM_SOURCE + ): + raise ValueError( + f"Batch feature views need a batch source, expected one of {SUPPORTED_BATCH_SOURCES} " + f"or CUSTOM_SOURCE, got {type(source).__name__}: {source.name} instead " + ) + + super().__init__( + name=name, + entities=entities, + ttl=ttl, + batch_source=None, + stream_source=None, + tags=tags, + online=online, + description=description, + owner=owner, + schema=schema, + source=source, + ) diff --git a/sdk/python/feast/stream_feature_view.py b/sdk/python/feast/stream_feature_view.py new file mode 100644 index 00000000000..1c51b94a7cf --- /dev/null +++ b/sdk/python/feast/stream_feature_view.py @@ -0,0 +1,54 @@ +from datetime import timedelta +from typing import Dict, List, Optional, Union + +from feast.data_source import DataSource +from feast.entity import Entity +from feast.feature_view import FeatureView +from feast.field import Field +from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto + +SUPPORTED_STREAM_SOURCES = { + "KafkaSource", + "KinesisSource", +} + + +class StreamFeatureView(FeatureView): + def __init__( + self, + *, + name: Optional[str] = None, + entities: Optional[Union[List[Entity], List[str]]] = None, + ttl: Optional[timedelta] = None, + tags: Optional[Dict[str, str]] = None, + online: bool = True, + description: str = "", + owner: str = "", + schema: Optional[List[Field]] = None, + source: Optional[DataSource] = None, + ): + + if source is None: + raise ValueError("Feature views need a source specified") + if ( + type(source).__name__ not in SUPPORTED_STREAM_SOURCES + and source.to_proto().type != DataSourceProto.SourceType.CUSTOM_SOURCE + ): + raise ValueError( + f"Stream feature views need a stream source, expected one of {SUPPORTED_STREAM_SOURCES} " + f"or CUSTOM_SOURCE, got {type(source).__name__}: {source.name} instead " + ) + + super().__init__( + name=name, + entities=entities, + ttl=ttl, + batch_source=None, + stream_source=None, + tags=tags, + online=online, + description=description, + owner=owner, + schema=schema, + source=source, + ) diff --git a/sdk/python/tests/unit/test_feature_views.py b/sdk/python/tests/unit/test_feature_views.py new file mode 100644 index 00000000000..d78788f3aed --- /dev/null +++ b/sdk/python/tests/unit/test_feature_views.py @@ -0,0 +1,70 @@ +from datetime import timedelta + +import pytest + +from feast.batch_feature_view import BatchFeatureView +from feast.data_format import AvroFormat +from feast.data_source import KafkaSource +from feast.infra.offline_stores.file_source import FileSource +from feast.stream_feature_view import StreamFeatureView + + +def test_create_batch_feature_view(): + batch_source = FileSource(path="some path") + BatchFeatureView( + name="test batch feature view", + entities=[], + ttl=timedelta(days=30), + source=batch_source, + ) + + with pytest.raises(ValueError): + BatchFeatureView( + name="test batch feature view", entities=[], ttl=timedelta(days=30) + ) + + stream_source = KafkaSource( + name="kafka", + event_timestamp_column="", + bootstrap_servers="", + message_format=AvroFormat(""), + topic="topic", + batch_source=FileSource(path="some path"), + ) + with pytest.raises(ValueError): + BatchFeatureView( + name="test batch feature view", + entities=[], + ttl=timedelta(days=30), + source=stream_source, + ) + + +def test_create_stream_feature_view(): + stream_source = KafkaSource( + name="kafka", + event_timestamp_column="", + bootstrap_servers="", + message_format=AvroFormat(""), + topic="topic", + batch_source=FileSource(path="some path"), + ) + StreamFeatureView( + name="test batch feature view", + entities=[], + ttl=timedelta(days=30), + source=stream_source, + ) + + with pytest.raises(ValueError): + StreamFeatureView( + name="test batch feature view", entities=[], ttl=timedelta(days=30) + ) + + with pytest.raises(ValueError): + StreamFeatureView( + name="test batch feature view", + entities=[], + ttl=timedelta(days=30), + source=FileSource(path="some path"), + ) From e8e418ed87481638e098d52ee2ca2d0327b63cc9 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Mon, 18 Apr 2022 20:06:30 -0400 Subject: [PATCH 10/87] fix: Fix push sources and add docs / tests pushing via the python feature server (#2561) * bug: Fixing push API endpoint to include a way to specify whether the registry should be looked up from a cache. Adding docs for feature server usage Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * prune out unneeded fields in push source Signed-off-by: Danny Chiao * prune out unneeded fields in push source Signed-off-by: Danny Chiao * prune out unneeded fields in push source Signed-off-by: Danny Chiao * fix comment Signed-off-by: Danny Chiao * fix comment Signed-off-by: Danny Chiao * fix comment Signed-off-by: Danny Chiao * fix comment Signed-off-by: Danny Chiao * fix generator Signed-off-by: Danny Chiao * add data source creator teardown Signed-off-by: Danny Chiao * add data source creator teardown Signed-off-by: Danny Chiao * update push source to alpha Signed-off-by: Danny Chiao * lint Signed-off-by: Danny Chiao * lint Signed-off-by: Danny Chiao * lint Signed-off-by: Danny Chiao * lint Signed-off-by: Danny Chiao * lint Signed-off-by: Danny Chiao --- docs/SUMMARY.md | 2 +- docs/reference/data-sources/push.md | 12 +- docs/reference/feature-servers/README.md | 2 +- .../feature-servers/go-feature-retrieval.md | 2 +- ...ure-server.md => python-feature-server.md} | 57 ++++++++- protos/feast/core/DataSource.proto | 3 +- sdk/python/feast/data_source.py | 29 +---- sdk/python/feast/feature_server.py | 4 +- sdk/python/feast/feature_store.py | 18 ++- sdk/python/feast/inference.py | 4 +- .../feast/infra/online_stores/sqlite.py | 4 +- .../example_repos/example_feature_repo_1.py | 9 +- .../e2e/test_python_feature_server.py | 121 ++++++++++++++++++ .../feature_repos/universal/feature_views.py | 26 ++-- sdk/python/tests/unit/test_data_sources.py | 10 +- 15 files changed, 221 insertions(+), 82 deletions(-) rename docs/reference/feature-servers/{local-feature-server.md => python-feature-server.md} (64%) create mode 100644 sdk/python/tests/integration/e2e/test_python_feature_server.py diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index c6a3422ecd4..11e20ab8310 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -81,7 +81,7 @@ * [feature\_store.yaml](reference/feature-repository/feature-store-yaml.md) * [.feastignore](reference/feature-repository/feast-ignore.md) * [Feature servers](reference/feature-servers/README.md) - * [Local feature server](reference/feature-servers/local-feature-server.md) + * [Python feature server](reference/feature-servers/python-feature-server.md) * [Go-based feature retrieval](reference/feature-servers/go-feature-retrieval.md) * [\[Alpha\] Data quality monitoring](reference/dqm.md) * [\[Alpha\] On demand feature view](reference/alpha-on-demand-feature-view.md) diff --git a/docs/reference/data-sources/push.md b/docs/reference/data-sources/push.md index 9f377d20998..e6eff312ec1 100644 --- a/docs/reference/data-sources/push.md +++ b/docs/reference/data-sources/push.md @@ -1,5 +1,7 @@ # Push source +**Warning**: This is an _experimental_ feature. It's intended for early testing and feedback, and could change without warnings in future releases. + ## Description Push sources allow feature values to be pushed to the online store in real time. This allows fresh feature values to be made available to applications. Push sources supercede the @@ -31,10 +33,6 @@ from feast.types import Int64 push_source = PushSource( name="push_source", - schema=[ - Field(name="user_id", dtype=Int64), - Field(name="life_time_value", dtype=Int64) - ], batch_source=BigQuerySource(table="test.test"), ) @@ -42,7 +40,7 @@ fv = FeatureView( name="feature view", entities=["user_id"], schema=[Field(name="life_time_value", dtype=Int64)], - stream_source=push_source, + source=push_source, ) ``` @@ -53,6 +51,8 @@ import pandas as pd fs = FeatureStore(...) feature_data_frame = pd.DataFrame() -fs.push("push_source", feature_data_frame) +fs.push("push_source_name", feature_data_frame) ``` +See also [Python feature server](../feature-servers/python-feature-server.md) for instructions on how to push data to a deployed feature server. + diff --git a/docs/reference/feature-servers/README.md b/docs/reference/feature-servers/README.md index e9e3afa4c09..301cea372c4 100644 --- a/docs/reference/feature-servers/README.md +++ b/docs/reference/feature-servers/README.md @@ -2,4 +2,4 @@ Feast users can choose to retrieve features from a feature server, as opposed to through the Python SDK. -{% page-ref page="local-feature-server.md" %} +{% page-ref page="python-feature-server.md" %} diff --git a/docs/reference/feature-servers/go-feature-retrieval.md b/docs/reference/feature-servers/go-feature-retrieval.md index 415817dd85e..05411a7f8c5 100644 --- a/docs/reference/feature-servers/go-feature-retrieval.md +++ b/docs/reference/feature-servers/go-feature-retrieval.md @@ -2,7 +2,7 @@ ## Overview -The Go Feature Retrieval component is a Go implementation of the core feature serving logic, embedded in the Python SDK. It supports retrieval of feature references, feature services, and on demand feature views, and can be used either through the Python SDK or the [Python feature server](local-feature-server.md). +The Go Feature Retrieval component is a Go implementation of the core feature serving logic, embedded in the Python SDK. It supports retrieval of feature references, feature services, and on demand feature views, and can be used either through the Python SDK or the [Python feature server](python-feature-server.md). Currently, this component only supports online serving and does not have an offline component including APIs to create feast feature repositories or apply configuration to the registry to facilitate online materialization. It also does not expose its own dedicated cli to perform feast actions. Furthermore, this component is only meant to expose an online serving API that can be called through the python SDK to facilitate faster online feature retrieval. diff --git a/docs/reference/feature-servers/local-feature-server.md b/docs/reference/feature-servers/python-feature-server.md similarity index 64% rename from docs/reference/feature-servers/local-feature-server.md rename to docs/reference/feature-servers/python-feature-server.md index 4ea37d4f1eb..352f0edc167 100644 --- a/docs/reference/feature-servers/local-feature-server.md +++ b/docs/reference/feature-servers/python-feature-server.md @@ -1,15 +1,23 @@ -# Local feature server +# Python feature server ## Overview -The local feature server is an HTTP endpoint that serves features with JSON I/O. This enables users to get features from Feast using any programming language that can make HTTP requests. A [remote feature server](../alpha-aws-lambda-feature-server.md) on AWS Lambda is also available. A remote feature server on GCP Cloud Run is currently being developed. +The feature server is an HTTP endpoint that serves features with JSON I/O. This enables users to write + read features from Feast online stores using any programming language that can make HTTP requests. ## CLI -There is a new CLI command that starts the server: `feast serve`. By default Feast uses port 6566; the port be overridden by a `--port` flag. +There is a CLI command that starts the server: `feast serve`. By default, Feast uses port 6566; the port be overridden by a `--port` flag. + +## Deploying as a service + +One can also deploy a feature server by building a docker image that bundles in the project's `feature_store.yaml`. See [helm chart](https://github.com/feast-dev/feast/blob/master/infra/charts/feast-python-server) for example. + +A [remote feature server](../alpha-aws-lambda-feature-server.md) on AWS Lambda is available. A remote feature server on GCP Cloud Run is currently being developed. + ## Example +### Initializing a feature server Here's the local feature server usage example with the local template: ```bash @@ -41,6 +49,7 @@ INFO: Uvicorn running on http://127.0.0.1:6566 (Press CTRL+C to quit) 09/10/2021 10:42:11 AM INFO:Uvicorn running on http://127.0.0.1:6566 (Press CTRL+C to quit) ``` +### Retrieving features from the online store After the server starts, we can execute cURL commands from another terminal tab: ```bash @@ -142,3 +151,45 @@ curl -X POST \ } }' | jq ``` + +### Pushing features to the online store +You can push data corresponding to a push source to the online store (note that timestamps need to be strings): + +```text +curl -X POST "http://localhost:6566/push" -d '{ + "push_source_name": "driver_hourly_stats_push_source", + "df": { + "driver_id": [1001], + "event_timestamp": ["2022-05-13 10:59:42"], + "created": ["2022-05-13 10:59:42"], + "conv_rate": [1.0], + "acc_rate": [1.0], + "avg_daily_trips": [1000] + } + }' | jq +``` + +or equivalently from Python: +```python +import json +import requests +import pandas as pd +from datetime import datetime + +event_dict = { + "driver_id": [1001], + "event_timestamp": [str(datetime(2021, 5, 13, 10, 59, 42))], + "created": [str(datetime(2021, 5, 13, 10, 59, 42))], + "conv_rate": [1.0], + "acc_rate": [1.0], + "avg_daily_trips": [1000], + "string_feature": "test2", +} +push_data = { + "push_source_name":"driver_stats_push_source", + "df":event_dict +} +requests.post( + "http://localhost:6566/push", + data=json.dumps(push_data)) +``` diff --git a/protos/feast/core/DataSource.proto b/protos/feast/core/DataSource.proto index d958281ca2c..9e6028ccfa4 100644 --- a/protos/feast/core/DataSource.proto +++ b/protos/feast/core/DataSource.proto @@ -222,8 +222,7 @@ message DataSource { // Defines options for DataSource that supports pushing data to it. This allows data to be pushed to // the online store on-demand, such as by stream consumers. message PushOptions { - // Mapping of feature name to type - map schema = 1; + reserved 1; } diff --git a/sdk/python/feast/data_source.py b/sdk/python/feast/data_source.py index 0e264117ae5..4a3762031e4 100644 --- a/sdk/python/feast/data_source.py +++ b/sdk/python/feast/data_source.py @@ -21,7 +21,7 @@ from feast import type_map from feast.data_format import StreamFormat -from feast.field import Field, from_value_type +from feast.field import Field from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto from feast.repo_config import RepoConfig, get_data_source_class_from_type from feast.types import VALUE_TYPES_TO_FEAST_TYPES @@ -714,45 +714,35 @@ class PushSource(DataSource): A source that can be used to ingest features on request """ - name: str - schema: List[Field] + # TODO(adchia): consider adding schema here in case where Feast manages pushing events to the offline store + # TODO(adchia): consider a "mode" to support pushing raw vs transformed events batch_source: DataSource - timestamp_field: str def __init__( self, *, name: str, - schema: List[Field], batch_source: DataSource, description: Optional[str] = "", tags: Optional[Dict[str, str]] = None, owner: Optional[str] = "", - timestamp_field: Optional[str] = "", ): """ Creates a PushSource object. Args: name: Name of the push source - schema: Schema mapping from the input feature name to a ValueType batch_source: The batch source that backs this push source. It's used when materializing from the offline store to the online store, and when retrieving historical features. description (optional): A human-readable description. tags (optional): A dictionary of key-value pairs to store arbitrary metadata. owner (optional): The owner of the data source, typically the email of the primary maintainer. - timestamp_field (optional): Event timestamp foe;d used for point in time - joins of feature values. """ super().__init__(name=name, description=description, tags=tags, owner=owner) - self.schema = sorted(schema) # TODO: add schema inference from a batch source self.batch_source = batch_source if not self.batch_source: raise ValueError(f"batch_source is needed for push source {self.name}") - if not timestamp_field: - raise ValueError(f"timestamp field is needed for push source {self.name}") - self.timestamp_field = timestamp_field def validate(self, config: RepoConfig): pass @@ -764,38 +754,25 @@ def get_table_column_names_and_types( @staticmethod def from_proto(data_source: DataSourceProto): - schema_pb = data_source.push_options.schema - schema = [] - for key, val in schema_pb.items(): - schema.append(Field(name=key, dtype=from_value_type(ValueType(val)))) - assert data_source.HasField("batch_source") batch_source = DataSource.from_proto(data_source.batch_source) return PushSource( name=data_source.name, - schema=sorted(schema), batch_source=batch_source, - timestamp_field=data_source.timestamp_field, description=data_source.description, tags=dict(data_source.tags), owner=data_source.owner, ) def to_proto(self) -> DataSourceProto: - schema_pb = {} - for field in self.schema: - schema_pb[field.name] = field.dtype.to_value_type().value batch_source_proto = None if self.batch_source: batch_source_proto = self.batch_source.to_proto() - options = DataSourceProto.PushOptions(schema=schema_pb,) data_source_proto = DataSourceProto( name=self.name, type=DataSourceProto.PUSH_SOURCE, - push_options=options, - timestamp_field=self.timestamp_field, description=self.description, tags=self.tags, owner=self.owner, diff --git a/sdk/python/feast/feature_server.py b/sdk/python/feast/feature_server.py index 20fcd410c20..8347bed6da3 100644 --- a/sdk/python/feast/feature_server.py +++ b/sdk/python/feast/feature_server.py @@ -94,9 +94,7 @@ def push(body=Depends(get_body)): @app.post("/write-to-online-store") def write_to_online_store(body=Depends(get_body)): warnings.warn( - "write_to_online_store is an experimental feature. " - "This API is unstable and it could be changed in the future. " - "We do not guarantee that future changes will maintain backward compatibility.", + "write_to_online_store is deprecated. Please consider using /push instead", RuntimeWarning, ) try: diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 33d297f3ca8..2311f78e9ba 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -92,7 +92,6 @@ warnings.simplefilter("once", DeprecationWarning) - if TYPE_CHECKING: from feast.embedded_go.online_features_service import EmbeddedOnlineFeatureServer @@ -1186,16 +1185,25 @@ def tqdm_builder(length): ) @log_exceptions_and_usage - def push(self, push_source_name: str, df: pd.DataFrame): + def push( + self, push_source_name: str, df: pd.DataFrame, allow_registry_cache: bool = True + ): """ Push features to a push source. This updates all the feature views that have the push source as stream source. Args: push_source_name: The name of the push source we want to push data to. df: the data being pushed. + allow_registry_cache: whether to allow cached versions of the registry. """ + warnings.warn( + "Push source is an experimental feature. " + "This API is unstable and it could and might change in the future. " + "We do not guarantee that future changes will maintain backward compatibility.", + RuntimeWarning, + ) from feast.data_source import PushSource - all_fvs = self.list_feature_views(allow_cache=True) + all_fvs = self.list_feature_views(allow_cache=allow_registry_cache) fvs_with_push_sources = { fv @@ -1208,7 +1216,9 @@ def push(self, push_source_name: str, df: pd.DataFrame): } for fv in fvs_with_push_sources: - self.write_to_online_store(fv.name, df, allow_registry_cache=True) + self.write_to_online_store( + fv.name, df, allow_registry_cache=allow_registry_cache + ) @log_exceptions_and_usage def write_to_online_store( diff --git a/sdk/python/feast/inference.py b/sdk/python/feast/inference.py index 9d15a6a25f7..2ff252b00c0 100644 --- a/sdk/python/feast/inference.py +++ b/sdk/python/feast/inference.py @@ -2,7 +2,7 @@ from typing import List from feast import BigQuerySource, Entity, FileSource, RedshiftSource, SnowflakeSource -from feast.data_source import DataSource, RequestSource +from feast.data_source import DataSource, PushSource, RequestSource from feast.errors import RegistryInferenceFailure from feast.feature_view import FeatureView from feast.field import Field, from_value_type @@ -74,6 +74,8 @@ def update_data_sources_with_inferred_event_timestamp_col( for data_source in data_sources: if isinstance(data_source, RequestSource): continue + if isinstance(data_source, PushSource): + data_source = data_source.batch_source if data_source.timestamp_field is None or data_source.timestamp_field == "": # prepare right match pattern for data source ts_column_type_regex_pattern = "" diff --git a/sdk/python/feast/infra/online_stores/sqlite.py b/sdk/python/feast/infra/online_stores/sqlite.py index 710f4c386a6..5657fbe3722 100644 --- a/sdk/python/feast/infra/online_stores/sqlite.py +++ b/sdk/python/feast/infra/online_stores/sqlite.py @@ -230,7 +230,9 @@ def teardown( def _initialize_conn(db_path: str): Path(db_path).parent.mkdir(exist_ok=True) return sqlite3.connect( - db_path, detect_types=sqlite3.PARSE_DECLTYPES | sqlite3.PARSE_COLNAMES, + db_path, + detect_types=sqlite3.PARSE_DECLTYPES | sqlite3.PARSE_COLNAMES, + check_same_thread=False, ) diff --git a/sdk/python/tests/example_repos/example_feature_repo_1.py b/sdk/python/tests/example_repos/example_feature_repo_1.py index 76b42b22416..bd07100af85 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_1.py +++ b/sdk/python/tests/example_repos/example_feature_repo_1.py @@ -40,14 +40,7 @@ ) driver_locations_push_source = PushSource( - name="driver_locations_push", - schema=[ - Field(name="driver_id", dtype=String), - Field(name="driver_lat", dtype=Float32), - Field(name="driver_long", dtype=String), - ], - batch_source=driver_locations_source, - timestamp_field="event_timestamp", + name="driver_locations_push", batch_source=driver_locations_source, ) driver = Entity( diff --git a/sdk/python/tests/integration/e2e/test_python_feature_server.py b/sdk/python/tests/integration/e2e/test_python_feature_server.py new file mode 100644 index 00000000000..a3048300a34 --- /dev/null +++ b/sdk/python/tests/integration/e2e/test_python_feature_server.py @@ -0,0 +1,121 @@ +import contextlib +import json +from datetime import datetime +from typing import List + +import pytest +from fastapi.testclient import TestClient + +from feast.feast_object import FeastObject +from feast.feature_server import get_app +from tests.integration.feature_repos.integration_test_repo_config import ( + IntegrationTestRepoConfig, +) +from tests.integration.feature_repos.repo_configuration import ( + construct_test_environment, + construct_universal_feature_views, + construct_universal_test_data, +) +from tests.integration.feature_repos.universal.entities import ( + customer, + driver, + location, +) + + +@pytest.mark.integration +@pytest.mark.universal +def test_get_online_features(): + with setup_python_fs_client() as client: + request_data_dict = { + "features": [ + "driver_stats:conv_rate", + "driver_stats:acc_rate", + "driver_stats:avg_daily_trips", + ], + "entities": {"driver_id": [5001, 5002]}, + } + response = client.post( + "/get-online-features", data=json.dumps(request_data_dict) + ) + + # Check entities and features are present + parsed_response = json.loads(response.text) + assert "metadata" in parsed_response + metadata = parsed_response["metadata"] + expected_features = ["driver_id", "conv_rate", "acc_rate", "avg_daily_trips"] + response_feature_names = metadata["feature_names"] + assert len(response_feature_names) == len(expected_features) + for expected_feature in expected_features: + assert expected_feature in response_feature_names + assert "results" in parsed_response + results = parsed_response["results"] + for result in results: + # Same order as in metadata + assert len(result["statuses"]) == 2 # Requested two entities + for status in result["statuses"]: + assert status == "PRESENT" + results_driver_id_index = response_feature_names.index("driver_id") + assert ( + results[results_driver_id_index]["values"] + == request_data_dict["entities"]["driver_id"] + ) + + +@pytest.mark.integration +@pytest.mark.universal +def test_push(): + with setup_python_fs_client() as client: + initial_temp = get_temperatures(client, location_ids=[1])[0] + json_data = json.dumps( + { + "push_source_name": "location_stats_push_source", + "df": { + "location_id": [1], + "temperature": [initial_temp * 100], + "event_timestamp": [str(datetime.utcnow())], + "created": [str(datetime.utcnow())], + }, + } + ) + response = client.post("/push", data=json_data,) + + # Check new pushed temperature is fetched + assert response.status_code == 200 + assert get_temperatures(client, location_ids=[1]) == [initial_temp * 100] + + +def get_temperatures(client, location_ids: List[int]): + get_request_data = { + "features": ["pushable_location_stats:temperature"], + "entities": {"location_id": location_ids}, + } + response = client.post("/get-online-features", data=json.dumps(get_request_data)) + parsed_response = json.loads(response.text) + assert "metadata" in parsed_response + metadata = parsed_response["metadata"] + response_feature_names = metadata["feature_names"] + assert "results" in parsed_response + results = parsed_response["results"] + results_temperature_index = response_feature_names.index("temperature") + return results[results_temperature_index]["values"] + + +@contextlib.contextmanager +def setup_python_fs_client(): + config = IntegrationTestRepoConfig() + environment = construct_test_environment(config) + fs = environment.feature_store + try: + entities, datasets, data_sources = construct_universal_test_data(environment) + feature_views = construct_universal_feature_views(data_sources) + feast_objects: List[FeastObject] = [] + feast_objects.extend(feature_views.values()) + feast_objects.extend([driver(), customer(), location()]) + fs.apply(feast_objects) + fs.materialize(environment.start_date, environment.end_date) + client = TestClient(get_app(fs)) + yield client + finally: + fs.teardown() + environment.data_source_creator.teardown() diff --git a/sdk/python/tests/integration/feature_repos/universal/feature_views.py b/sdk/python/tests/integration/feature_repos/universal/feature_views.py index 5918e367532..a6786528e1f 100644 --- a/sdk/python/tests/integration/feature_repos/universal/feature_views.py +++ b/sdk/python/tests/integration/feature_repos/universal/feature_views.py @@ -13,7 +13,7 @@ ValueType, ) from feast.data_source import DataSource, RequestSource -from feast.types import Array, FeastType, Float32, Float64, Int32, Int64 +from feast.types import Array, FeastType, Float32, Float64, Int32 from tests.integration.feature_repos.universal.entities import location @@ -65,19 +65,19 @@ def conv_rate_plus_100(features_df: pd.DataFrame) -> pd.DataFrame: def conv_rate_plus_100_feature_view( sources: Dict[str, Union[RequestSource, FeatureView]], infer_features: bool = False, - features: Optional[List[Feature]] = None, + features: Optional[List[Field]] = None, ) -> OnDemandFeatureView: # Test that positional arguments and Features still work for ODFVs. _features = features or [ - Feature(name="conv_rate_plus_100", dtype=ValueType.DOUBLE), - Feature(name="conv_rate_plus_val_to_add", dtype=ValueType.DOUBLE), - Feature(name="conv_rate_plus_100_rounded", dtype=ValueType.INT32), + Field(name="conv_rate_plus_100", dtype=Float64), + Field(name="conv_rate_plus_val_to_add", dtype=Float64), + Field(name="conv_rate_plus_100_rounded", dtype=Int32), ] return OnDemandFeatureView( - conv_rate_plus_100.__name__, - [] if infer_features else _features, - sources, - conv_rate_plus_100, + name=conv_rate_plus_100.__name__, + schema=[] if infer_features else _features, + sources=sources, + udf=conv_rate_plus_100, ) @@ -237,13 +237,7 @@ def create_field_mapping_feature_view(source): def create_pushable_feature_view(batch_source: DataSource): push_source = PushSource( - name="location_stats_push_source", - schema=[ - Field(name="location_id", dtype=Int64), - Field(name="temperature", dtype=Int32), - ], - timestamp_field="timestamp", - batch_source=batch_source, + name="location_stats_push_source", batch_source=batch_source, ) return FeatureView( name="pushable_location_stats", diff --git a/sdk/python/tests/unit/test_data_sources.py b/sdk/python/tests/unit/test_data_sources.py index ceb9ff4ce67..a0de42e1e22 100644 --- a/sdk/python/tests/unit/test_data_sources.py +++ b/sdk/python/tests/unit/test_data_sources.py @@ -9,13 +9,7 @@ def test_push_with_batch(): push_source = PushSource( - name="test", - schema=[ - Field(name="f1", dtype=PrimitiveFeastType.FLOAT32), - Field(name="f2", dtype=PrimitiveFeastType.BOOL), - ], - timestamp_field="event_timestamp", - batch_source=BigQuerySource(table="test.test"), + name="test", batch_source=BigQuerySource(table="test.test"), ) push_source_proto = push_source.to_proto() assert push_source_proto.HasField("batch_source") @@ -25,8 +19,6 @@ def test_push_with_batch(): push_source_unproto = PushSource.from_proto(push_source_proto) assert push_source.name == push_source_unproto.name - assert push_source.schema == push_source_unproto.schema - assert push_source.timestamp_field == push_source_unproto.timestamp_field assert push_source.batch_source.name == push_source_unproto.batch_source.name From c8fcc3504c7438961d0dc05869e3a2fca5b11f20 Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Mon, 18 Apr 2022 20:16:29 -0700 Subject: [PATCH 11/87] feat: Support entity fields in feature view `schema` parameter by dropping them (#2568) Signed-off-by: Felix Wang --- sdk/python/feast/entity.py | 31 +++++++++- sdk/python/feast/inference.py | 5 ++ .../registration/test_inference.py | 59 +++++++++++++++++-- 3 files changed, 87 insertions(+), 8 deletions(-) diff --git a/sdk/python/feast/entity.py b/sdk/python/feast/entity.py index 39886268609..e504fc1822d 100644 --- a/sdk/python/feast/entity.py +++ b/sdk/python/feast/entity.py @@ -40,7 +40,7 @@ class Entity: owner: The owner of the entity, typically the email of the primary maintainer. created_timestamp: The time when the entity was created. last_updated_timestamp: The time when the entity was last updated. - join_keys: A list of property that uniquely identifies different entities within the + join_keys: A list of properties that uniquely identifies different entities within the collection. This is meant to replace the `join_key` parameter, but currently only supports a list of size one. """ @@ -67,7 +67,25 @@ def __init__( owner: str = "", join_keys: Optional[List[str]] = None, ): - """Creates an Entity object.""" + """ + Creates an Entity object. + + Args: + name: The unique name of the entity. + value_type: The type of the entity, such as string or float. + description: A human-readable description. + join_key (deprecated): A property that uniquely identifies different entities within the + collection. The join_key property is typically used for joining entities + with their associated features. If not specified, defaults to the name. + tags: A dictionary of key-value pairs to store arbitrary metadata. + owner: The owner of the entity, typically the email of the primary maintainer. + join_keys: A list of properties that uniquely identifies different entities within the + collection. This is meant to replace the `join_key` parameter, but currently only + supports a list of size one. + + Raises: + ValueError: Parameters are specified incorrectly. + """ if len(args) == 1: warnings.warn( ( @@ -88,6 +106,15 @@ def __init__( self.value_type = value_type + if join_key: + warnings.warn( + ( + "The `join_key` parameter is being deprecated in favor of the `join_keys` parameter. " + "Please switch from using `join_key` to `join_keys`. Feast 0.22 and onwards will not " + "support the `join_key` parameter." + ), + DeprecationWarning, + ) self.join_keys = join_keys or [] if join_keys and len(join_keys) > 1: raise ValueError( diff --git a/sdk/python/feast/inference.py b/sdk/python/feast/inference.py index 2ff252b00c0..38f3fa36cfb 100644 --- a/sdk/python/feast/inference.py +++ b/sdk/python/feast/inference.py @@ -152,8 +152,13 @@ def update_feature_views_with_inferred_features( config: The config for the current feature store. """ entity_name_to_join_key_map = {entity.name: entity.join_key for entity in entities} + join_keys = entity_name_to_join_key_map.values() for fv in fvs: + # First drop all Entity fields. Then infer features if necessary. + fv.schema = [field for field in fv.schema if field.name not in join_keys] + fv.features = [field for field in fv.features if field.name not in join_keys] + if not fv.features: columns_to_exclude = { fv.batch_source.timestamp_field, diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py index 526f422e9d6..ae1ce55da7f 100644 --- a/sdk/python/tests/integration/registration/test_inference.py +++ b/sdk/python/tests/integration/registration/test_inference.py @@ -24,12 +24,13 @@ from feast.inference import ( update_data_sources_with_inferred_event_timestamp_col, update_entities_with_inferred_types_from_feature_views, + update_feature_views_with_inferred_features, ) from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import ( SparkSource, ) from feast.on_demand_feature_view import on_demand_feature_view -from feast.types import PrimitiveFeastType, String, UnixTimestamp +from feast.types import Float32, PrimitiveFeastType, String, UnixTimestamp from tests.utils.data_source_utils import ( prep_file_source, simple_bq_source_using_query_arg, @@ -168,15 +169,14 @@ def test_update_data_sources_with_inferred_event_timestamp_col(universal_data_so def test_on_demand_features_type_inference(): # Create Feature Views date_request = RequestSource( - name="date_request", - schema=[Field(name="some_date", dtype=PrimitiveFeastType.UNIX_TIMESTAMP)], + name="date_request", schema=[Field(name="some_date", dtype=UnixTimestamp)], ) @on_demand_feature_view( sources={"date_request": date_request}, - features=[ - Feature(name="output", dtype=ValueType.UNIX_TIMESTAMP), - Feature(name="string_output", dtype=ValueType.STRING), + schema=[ + Field(name="output", dtype=UnixTimestamp), + Field(name="string_output", dtype=String), ], ) def test_view(features_df: pd.DataFrame) -> pd.DataFrame: @@ -285,3 +285,50 @@ def test_view_with_missing_feature(features_df: pd.DataFrame) -> pd.DataFrame: with pytest.raises(SpecifiedFeaturesNotPresentError): test_view_with_missing_feature.infer_features() + + +def test_update_feature_views_with_inferred_features(): + file_source = FileSource(name="test", path="test path") + entity1 = Entity(name="test1", join_key="test_column_1") + entity2 = Entity(name="test2", join_key="test_column_2") + feature_view_1 = FeatureView( + name="test1", + entities=[entity1], + schema=[ + Field(name="feature", dtype=Float32), + Field(name="test_column_1", dtype=String), + ], + source=file_source, + ) + feature_view_2 = FeatureView( + name="test2", + entities=[entity1, entity2], + schema=[ + Field(name="feature", dtype=Float32), + Field(name="test_column_1", dtype=String), + Field(name="test_column_2", dtype=String), + ], + source=file_source, + ) + + assert len(feature_view_1.schema) == 2 + assert len(feature_view_1.features) == 2 + + # The entity field should be deleted from the schema and features of the feature view. + update_feature_views_with_inferred_features( + [feature_view_1], [entity1], RepoConfig(provider="local", project="test") + ) + assert len(feature_view_1.schema) == 1 + assert len(feature_view_1.features) == 1 + + assert len(feature_view_2.schema) == 3 + assert len(feature_view_2.features) == 3 + + # The entity fields should be deleted from the schema and features of the feature view. + update_feature_views_with_inferred_features( + [feature_view_2], + [entity1, entity2], + RepoConfig(provider="local", project="test"), + ) + assert len(feature_view_2.schema) == 1 + assert len(feature_view_2.features) == 1 From 8a17041cc541a51ec27f4c5983203033cd9b8be9 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Tue, 19 Apr 2022 10:02:39 -0400 Subject: [PATCH 12/87] ci: Fix npm push workflow (#2569) * ci: Fix NPM Push with missing working-directory Signed-off-by: Danny Chiao * bump files Signed-off-by: Danny Chiao * bump files Signed-off-by: Danny Chiao --- .github/workflows/publish.yml | 1 + infra/scripts/release/bump_file_versions.py | 2 +- ui/package.json | 2 +- 3 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index a84b9384f03..08339d3fcea 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -294,6 +294,7 @@ jobs: working-directory: ./ui run: yarn build:lib - name: Publish UI package + working-directory: ./ui run: npm publish env: NODE_AUTH_TOKEN: ${{secrets.NPM_TOKEN}} diff --git a/infra/scripts/release/bump_file_versions.py b/infra/scripts/release/bump_file_versions.py index b706c2c141b..451b2f5a725 100644 --- a/infra/scripts/release/bump_file_versions.py +++ b/infra/scripts/release/bump_file_versions.py @@ -4,7 +4,7 @@ import sys USAGE = f"Usage: python {sys.argv[0]} [--help] | current_semver_version new_semver_version]" -VERSIONS_TO_BUMP = 27 +VERSIONS_TO_BUMP = 28 def main() -> None: diff --git a/ui/package.json b/ui/package.json index 37a5ddf4318..c8221153a79 100644 --- a/ui/package.json +++ b/ui/package.json @@ -1,6 +1,6 @@ { "name": "@feast-dev/feast-ui", - "version": "0.19.0", + "version": "0.20.0", "private": false, "files": [ "dist" From 7076fe0483de50af21fe7d7e7da192823f66c3da Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Tue, 19 Apr 2022 15:01:38 -0400 Subject: [PATCH 13/87] fix: Fix DynamoDB fetches when there are entities that are not found (#2573) * fix: Fix DynamoDB fetches when there are entities that are not found Signed-off-by: Danny Chiao * remove sort_keys from dynamo since they must be sorted. Add better test for different unknowns Signed-off-by: Danny Chiao --- .../feast/infra/online_stores/dynamodb.py | 28 ++++++------- .../feast/infra/online_stores/online_store.py | 6 +-- .../test_dynamodb_online_store.py | 42 +++++++++++++++++-- 3 files changed, 55 insertions(+), 21 deletions(-) diff --git a/sdk/python/feast/infra/online_stores/dynamodb.py b/sdk/python/feast/infra/online_stores/dynamodb.py index 01562ad900c..406bee525f8 100644 --- a/sdk/python/feast/infra/online_stores/dynamodb.py +++ b/sdk/python/feast/infra/online_stores/dynamodb.py @@ -59,9 +59,6 @@ class DynamoDBOnlineStoreConfig(FeastConfigBaseModel): region: StrictStr """AWS Region Name""" - sort_response: bool = True - """Whether or not to sort BatchGetItem response.""" - table_name_template: StrictStr = "{project}.{table_name}" """DynamoDB table name template""" @@ -204,9 +201,6 @@ def online_read( """ Retrieve feature values from the online DynamoDB store. - Note: This method is currently not optimized to retrieve a lot of data at a time - as it does sequential gets from the DynamoDB table. - Args: config: The RepoConfig for the current FeatureStore. table: Feast FeatureView. @@ -224,7 +218,6 @@ def online_read( result: List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]] = [] entity_ids = [compute_entity_id(entity_key) for entity_key in entity_keys] batch_size = online_config.batch_size - sort_response = online_config.sort_response entity_ids_iter = iter(entity_ids) while True: batch = list(itertools.islice(entity_ids_iter, batch_size)) @@ -243,20 +236,27 @@ def online_read( response = response.get("Responses") table_responses = response.get(table_instance.name) if table_responses: - if sort_response: - table_responses = self._sort_dynamodb_response( - table_responses, entity_ids - ) + table_responses = self._sort_dynamodb_response( + table_responses, entity_ids + ) + entity_idx = 0 for tbl_res in table_responses: + entity_id = tbl_res["entity_id"] + while entity_id != batch[entity_idx]: + result.append((None, None)) + entity_idx += 1 res = {} for feature_name, value_bin in tbl_res["values"].items(): val = ValueProto() val.ParseFromString(value_bin.value) res[feature_name] = val result.append((datetime.fromisoformat(tbl_res["event_ts"]), res)) - else: - batch_size_nones = ((None, None),) * len(batch) - result.extend(batch_size_nones) + entity_idx += 1 + + # Not all entities in a batch may have responses + # Pad with remaining values in batch that were not found + batch_size_nones = ((None, None),) * (len(batch) - len(result)) + result.extend(batch_size_nones) return result def _get_dynamodb_client(self, region: str, endpoint_url: Optional[str] = None): diff --git a/sdk/python/feast/infra/online_stores/online_store.py b/sdk/python/feast/infra/online_stores/online_store.py index 1f177996dea..04c6a065fb2 100644 --- a/sdk/python/feast/infra/online_stores/online_store.py +++ b/sdk/python/feast/infra/online_stores/online_store.py @@ -76,9 +76,9 @@ def online_read( entity_keys: a list of entity keys that should be read from the FeatureStore. requested_features: (Optional) A subset of the features that should be read from the FeatureStore. Returns: - Data is returned as a list, one item per entity key. Each item in the list is a tuple - of event_ts for the row, and the feature data as a dict from feature names to values. - Values are returned as Value proto message. + Data is returned as a list, one item per entity key in the original order as the entity_keys argument. + Each item in the list is a tuple of event_ts for the row, and the feature data as a dict from feature names + to values. Values are returned as Value proto message. """ ... diff --git a/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py b/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py index 7d6da0dc06d..e1be890e578 100644 --- a/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py +++ b/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py @@ -11,6 +11,8 @@ DynamoDBOnlineStoreConfig, DynamoDBTable, ) +from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto +from feast.protos.feast.types.Value_pb2 import Value as ValueProto from feast.repo_config import RepoConfig from tests.utils.online_store_utils import ( _create_n_customer_test_samples, @@ -49,7 +51,6 @@ def test_online_store_config_default(): assert dynamodb_store_config.batch_size == 40 assert dynamodb_store_config.endpoint_url is None assert dynamodb_store_config.region == aws_region - assert dynamodb_store_config.sort_response is True assert dynamodb_store_config.table_name_template == "{project}.{table_name}" @@ -70,20 +71,17 @@ def test_online_store_config_custom_params(): aws_region = "us-west-2" batch_size = 20 endpoint_url = "http://localhost:8000" - sort_response = False table_name_template = "feast_test.dynamodb_table" dynamodb_store_config = DynamoDBOnlineStoreConfig( region=aws_region, batch_size=batch_size, endpoint_url=endpoint_url, - sort_response=sort_response, table_name_template=table_name_template, ) assert dynamodb_store_config.type == "dynamodb" assert dynamodb_store_config.batch_size == batch_size assert dynamodb_store_config.endpoint_url == endpoint_url assert dynamodb_store_config.region == aws_region - assert dynamodb_store_config.sort_response == sort_response assert dynamodb_store_config.table_name_template == table_name_template @@ -175,6 +173,42 @@ def test_online_read(repo_config, n_samples): assert [item[1] for item in returned_items] == list(features) +@mock_dynamodb2 +def test_online_read_unknown_entity(repo_config): + """Test DynamoDBOnlineStore online_read method.""" + n_samples = 2 + _create_test_table(PROJECT, f"{TABLE_NAME}_{n_samples}", REGION) + data = _create_n_customer_test_samples(n=n_samples) + _insert_data_test_table(data, PROJECT, f"{TABLE_NAME}_{n_samples}", REGION) + + entity_keys, features, *rest = zip(*data) + # Append a nonsensical entity to search for + entity_keys = list(entity_keys) + features = list(features) + dynamodb_store = DynamoDBOnlineStore() + + # Have the unknown entity be in the beginning, middle, and end of the list of entities. + for pos in range(len(entity_keys)): + entity_keys_with_unknown = deepcopy(entity_keys) + entity_keys_with_unknown.insert( + pos, + EntityKeyProto( + join_keys=["customer"], entity_values=[ValueProto(string_val="12359")] + ), + ) + features_with_none = deepcopy(features) + features_with_none.insert(pos, None) + returned_items = dynamodb_store.online_read( + config=repo_config, + table=MockFeatureView(name=f"{TABLE_NAME}_{n_samples}"), + entity_keys=entity_keys_with_unknown, + ) + assert len(returned_items) == len(entity_keys_with_unknown) + assert [item[1] for item in returned_items] == list(features_with_none) + # The order should match the original entity key order + assert returned_items[pos] == (None, None) + + @mock_dynamodb2 def test_write_batch_non_duplicates(repo_config): """Test DynamoDBOnline Store deduplicate write batch request items.""" From ebb7dfeaee9dc337a90f5d6b984ad07365018d42 Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Tue, 19 Apr 2022 13:17:38 -0700 Subject: [PATCH 14/87] fix: Fix `__hash__` methods (#2556) * Fix __hash__ method for Entity Signed-off-by: Felix Wang * Fix __hash__ method for FeatureService Signed-off-by: Felix Wang * Remove references to PrimitiveFeastType Signed-off-by: Felix Wang * Fix __hash__ method for DataSource and PushSource Signed-off-by: Felix Wang * Fix __hash__ method for FeatureView and OnDemandFeatureView Signed-off-by: Felix Wang * Fix __hash__ method for SavedDataset Signed-off-by: Felix Wang * Fix bugs Signed-off-by: Felix Wang * Fix push merge Signed-off-by: Danny Chiao Co-authored-by: Danny Chiao --- sdk/python/feast/base_feature_view.py | 3 +- sdk/python/feast/data_source.py | 46 +++++--- sdk/python/feast/diff/registry_diff.py | 2 +- sdk/python/feast/entity.py | 2 +- sdk/python/feast/feature_service.py | 2 +- sdk/python/feast/feature_store.py | 28 ++--- sdk/python/feast/feature_view.py | 13 +-- sdk/python/feast/on_demand_feature_view.py | 13 ++- sdk/python/feast/registry.py | 4 +- sdk/python/feast/repo_contents.py | 14 +-- sdk/python/feast/repo_operations.py | 64 +++++++---- sdk/python/feast/saved_dataset.py | 16 ++- ..._repo_with_duplicated_featureview_names.py | 4 +- .../registration/test_inference.py | 4 +- .../integration/registration/test_registry.py | 7 +- sdk/python/tests/unit/test_data_sources.py | 37 ++++++- sdk/python/tests/unit/test_entity.py | 19 ++++ sdk/python/tests/unit/test_feature_service.py | 45 +++++++- sdk/python/tests/unit/test_feature_view.py | 64 +++++++++++ .../tests/unit/test_on_demand_feature_view.py | 102 ++++++++++++++++++ 20 files changed, 394 insertions(+), 95 deletions(-) create mode 100644 sdk/python/tests/unit/test_feature_view.py create mode 100644 sdk/python/tests/unit/test_on_demand_feature_view.py diff --git a/sdk/python/feast/base_feature_view.py b/sdk/python/feast/base_feature_view.py index 67435fa44c8..80b3b0cec82 100644 --- a/sdk/python/feast/base_feature_view.py +++ b/sdk/python/feast/base_feature_view.py @@ -110,7 +110,7 @@ def __str__(self): return str(MessageToJson(self.to_proto())) def __hash__(self): - return hash((id(self), self.name)) + return hash((self.name)) def __getitem__(self, item): assert isinstance(item, list) @@ -134,6 +134,7 @@ def __eq__(self, other): if ( self.name != other.name or sorted(self.features) != sorted(other.features) + or self.projection != other.projection or self.description != other.description or self.tags != other.tags or self.owner != other.owner diff --git a/sdk/python/feast/data_source.py b/sdk/python/feast/data_source.py index 4a3762031e4..6040654784c 100644 --- a/sdk/python/feast/data_source.py +++ b/sdk/python/feast/data_source.py @@ -245,7 +245,7 @@ def __init__( self.owner = owner or "" def __hash__(self): - return hash((id(self), self.name)) + return hash((self.name, self.timestamp_field)) def __str__(self): return str(MessageToJson(self.to_proto())) @@ -263,9 +263,9 @@ def __eq__(self, other): or self.created_timestamp_column != other.created_timestamp_column or self.field_mapping != other.field_mapping or self.date_partition_column != other.date_partition_column + or self.description != other.description or self.tags != other.tags or self.owner != other.owner - or self.description != other.description ): return False @@ -392,6 +392,9 @@ def __eq__(self, other): "Comparisons should only involve KafkaSource class objects." ) + if not super().__eq__(other): + return False + if ( self.kafka_options.bootstrap_servers != other.kafka_options.bootstrap_servers @@ -402,6 +405,9 @@ def __eq__(self, other): return True + def __hash__(self): + return super().__hash__() + @staticmethod def from_proto(data_source: DataSourceProto): return KafkaSource( @@ -507,13 +513,10 @@ def __eq__(self, other): raise TypeError( "Comparisons should only involve RequestSource class objects." ) - if ( - self.name != other.name - or self.description != other.description - or self.owner != other.owner - or self.tags != other.tags - ): + + if not super().__eq__(other): return False + if isinstance(self.schema, List) and isinstance(other.schema, List): for field1, field2 in zip(self.schema, other.schema): if field1 != field2: @@ -671,17 +674,16 @@ def __init__( ) def __eq__(self, other): - if other is None: - return False - if not isinstance(other, KinesisSource): raise TypeError( "Comparisons should only involve KinesisSource class objects." ) + if not super().__eq__(other): + return False + if ( - self.name != other.name - or self.kinesis_options.record_format != other.kinesis_options.record_format + self.kinesis_options.record_format != other.kinesis_options.record_format or self.kinesis_options.region != other.kinesis_options.region or self.kinesis_options.stream_name != other.kinesis_options.stream_name ): @@ -689,6 +691,9 @@ def __eq__(self, other): return True + def __hash__(self): + return super().__hash__() + def to_proto(self) -> DataSourceProto: data_source_proto = DataSourceProto( name=self.name, @@ -744,6 +749,21 @@ def __init__( if not self.batch_source: raise ValueError(f"batch_source is needed for push source {self.name}") + def __eq__(self, other): + if not isinstance(other, PushSource): + raise TypeError("Comparisons should only involve PushSource class objects.") + + if not super().__eq__(other): + return False + + if self.batch_source != other.batch_source: + return False + + return True + + def __hash__(self): + return super().__hash__() + def validate(self, config: RepoConfig): pass diff --git a/sdk/python/feast/diff/registry_diff.py b/sdk/python/feast/diff/registry_diff.py index 10bd88c56f8..b2caec2b687 100644 --- a/sdk/python/feast/diff/registry_diff.py +++ b/sdk/python/feast/diff/registry_diff.py @@ -177,7 +177,7 @@ def extract_objects_for_keep_delete_update_add( FeastObjectType, List[Any] ] = FeastObjectType.get_objects_from_registry(registry, current_project) registry_object_type_to_repo_contents: Dict[ - FeastObjectType, Set[Any] + FeastObjectType, List[Any] ] = FeastObjectType.get_objects_from_repo_contents(desired_repo_contents) for object_type in FEAST_OBJECT_TYPES: diff --git a/sdk/python/feast/entity.py b/sdk/python/feast/entity.py index e504fc1822d..3aaf0f9b695 100644 --- a/sdk/python/feast/entity.py +++ b/sdk/python/feast/entity.py @@ -132,7 +132,7 @@ def __init__( self.last_updated_timestamp = None def __hash__(self) -> int: - return hash((id(self), self.name)) + return hash((self.name, self.join_key)) def __eq__(self, other): if not isinstance(other, Entity): diff --git a/sdk/python/feast/feature_service.py b/sdk/python/feast/feature_service.py index 40030b34ceb..2febad3b1b9 100644 --- a/sdk/python/feast/feature_service.py +++ b/sdk/python/feast/feature_service.py @@ -85,7 +85,7 @@ def __str__(self): return str(MessageToJson(self.to_proto())) def __hash__(self): - return hash((id(self), self.name)) + return hash((self.name)) def __eq__(self, other): if not isinstance(other, FeatureService): diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 2311f78e9ba..4f456be3846 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -533,25 +533,25 @@ def _plan( ... batch_source=driver_hourly_stats, ... ) >>> registry_diff, infra_diff, new_infra = fs._plan(RepoContents( - ... data_sources={driver_hourly_stats}, - ... feature_views={driver_hourly_stats_view}, - ... on_demand_feature_views=set(), - ... request_feature_views=set(), - ... entities={driver}, - ... feature_services=set())) # register entity and feature view + ... data_sources=[driver_hourly_stats], + ... feature_views=[driver_hourly_stats_view], + ... on_demand_feature_views=list(), + ... request_feature_views=list(), + ... entities=[driver], + ... feature_services=list())) # register entity and feature view """ # Validate and run inference on all the objects to be registered. self._validate_all_feature_views( - list(desired_repo_contents.feature_views), - list(desired_repo_contents.on_demand_feature_views), - list(desired_repo_contents.request_feature_views), + desired_repo_contents.feature_views, + desired_repo_contents.on_demand_feature_views, + desired_repo_contents.request_feature_views, ) - _validate_data_sources(list(desired_repo_contents.data_sources)) + _validate_data_sources(desired_repo_contents.data_sources) self._make_inferences( - list(desired_repo_contents.data_sources), - list(desired_repo_contents.entities), - list(desired_repo_contents.feature_views), - list(desired_repo_contents.on_demand_feature_views), + desired_repo_contents.data_sources, + desired_repo_contents.entities, + desired_repo_contents.feature_views, + desired_repo_contents.on_demand_feature_views, ) # Compute the desired difference between the current objects in the registry and diff --git a/sdk/python/feast/feature_view.py b/sdk/python/feast/feature_view.py index 7d29a4b69bb..cea8f619cb1 100644 --- a/sdk/python/feast/feature_view.py +++ b/sdk/python/feast/feature_view.py @@ -270,7 +270,6 @@ def _initialize_sources(self, name, batch_source, stream_source, source): self.batch_source = batch_source self.source = source - # Note: Python requires redefining hash in child classes that override __eq__ def __hash__(self): return super().__hash__() @@ -298,19 +297,15 @@ def __eq__(self, other): return False if ( - self.tags != other.tags + sorted(self.entities) != sorted(other.entities) or self.ttl != other.ttl or self.online != other.online + or self.batch_source != other.batch_source + or self.stream_source != other.stream_source + or self.schema != other.schema ): return False - if sorted(self.entities) != sorted(other.entities): - return False - if self.batch_source != other.batch_source: - return False - if self.stream_source != other.stream_source: - return False - return True def ensure_valid(self): diff --git a/sdk/python/feast/on_demand_feature_view.py b/sdk/python/feast/on_demand_feature_view.py index 790891b0781..a807f3b4a40 100644 --- a/sdk/python/feast/on_demand_feature_view.py +++ b/sdk/python/feast/on_demand_feature_view.py @@ -234,14 +234,19 @@ def __copy__(self): return fv def __eq__(self, other): + if not isinstance(other, OnDemandFeatureView): + raise TypeError( + "Comparisons should only involve OnDemandFeatureView class objects." + ) + if not super().__eq__(other): return False if ( - not self.source_feature_view_projections - == other.source_feature_view_projections - or not self.source_request_sources == other.source_request_sources - or not self.udf.__code__.co_code == other.udf.__code__.co_code + self.source_feature_view_projections + != other.source_feature_view_projections + or self.source_request_sources != other.source_request_sources + or self.udf.__code__.co_code != other.udf.__code__.co_code ): return False diff --git a/sdk/python/feast/registry.py b/sdk/python/feast/registry.py index da9c6c6b217..5f5d27318a9 100644 --- a/sdk/python/feast/registry.py +++ b/sdk/python/feast/registry.py @@ -18,7 +18,7 @@ from enum import Enum from pathlib import Path from threading import Lock -from typing import Any, Dict, List, Optional, Set +from typing import Any, Dict, List, Optional from urllib.parse import urlparse import dill @@ -98,7 +98,7 @@ def get_objects_from_registry( @staticmethod def get_objects_from_repo_contents( repo_contents: RepoContents, - ) -> Dict["FeastObjectType", Set[Any]]: + ) -> Dict["FeastObjectType", List[Any]]: return { FeastObjectType.DATA_SOURCE: repo_contents.data_sources, FeastObjectType.ENTITY: repo_contents.entities, diff --git a/sdk/python/feast/repo_contents.py b/sdk/python/feast/repo_contents.py index b59adc34db4..4d7c92f2a6d 100644 --- a/sdk/python/feast/repo_contents.py +++ b/sdk/python/feast/repo_contents.py @@ -11,7 +11,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -from typing import NamedTuple, Set +from typing import List, NamedTuple from feast.data_source import DataSource from feast.entity import Entity @@ -27,12 +27,12 @@ class RepoContents(NamedTuple): Represents the objects in a Feast feature repo. """ - data_sources: Set[DataSource] - feature_views: Set[FeatureView] - on_demand_feature_views: Set[OnDemandFeatureView] - request_feature_views: Set[RequestFeatureView] - entities: Set[Entity] - feature_services: Set[FeatureService] + data_sources: List[DataSource] + feature_views: List[FeatureView] + on_demand_feature_views: List[OnDemandFeatureView] + request_feature_views: List[RequestFeatureView] + entities: List[Entity] + feature_services: List[FeatureService] def to_registry_proto(self) -> RegistryProto: registry_proto = RegistryProto() diff --git a/sdk/python/feast/repo_operations.py b/sdk/python/feast/repo_operations.py index 5e223aac8af..8a5e6b39f97 100644 --- a/sdk/python/feast/repo_operations.py +++ b/sdk/python/feast/repo_operations.py @@ -94,14 +94,20 @@ def get_repo_files(repo_root: Path) -> List[Path]: def parse_repo(repo_root: Path) -> RepoContents: - """Collect feature table definitions from feature repo""" + """ + Collects unique Feast object definitions from the given feature repo. + + Specifically, if an object foo has already been added, bar will still be added if + (bar == foo), but not if (bar is foo). This ensures that import statements will + not result in duplicates, but defining two equal objects will. + """ res = RepoContents( - data_sources=set(), - entities=set(), - feature_views=set(), - feature_services=set(), - on_demand_feature_views=set(), - request_feature_views=set(), + data_sources=[], + entities=[], + feature_views=[], + feature_services=[], + on_demand_feature_views=[], + request_feature_views=[], ) for repo_file in get_repo_files(repo_root): @@ -109,21 +115,35 @@ def parse_repo(repo_root: Path) -> RepoContents: module = importlib.import_module(module_path) for attr_name in dir(module): obj = getattr(module, attr_name) - if isinstance(obj, DataSource): - res.data_sources.add(obj) - if isinstance(obj, FeatureView): - res.feature_views.add(obj) - if isinstance(obj.stream_source, PushSource): - res.data_sources.add(obj.stream_source.batch_source) - elif isinstance(obj, Entity): - res.entities.add(obj) - elif isinstance(obj, FeatureService): - res.feature_services.add(obj) - elif isinstance(obj, OnDemandFeatureView): - res.on_demand_feature_views.add(obj) - elif isinstance(obj, RequestFeatureView): - res.request_feature_views.add(obj) - res.entities.add(DUMMY_ENTITY) + if isinstance(obj, DataSource) and not any( + (obj is ds) for ds in res.data_sources + ): + res.data_sources.append(obj) + if isinstance(obj, FeatureView) and not any( + (obj is fv) for fv in res.feature_views + ): + res.feature_views.append(obj) + if isinstance(obj.stream_source, PushSource) and not any( + (obj is ds) for ds in res.data_sources + ): + res.data_sources.append(obj.stream_source.batch_source) + elif isinstance(obj, Entity) and not any( + (obj is entity) for entity in res.entities + ): + res.entities.append(obj) + elif isinstance(obj, FeatureService) and not any( + (obj is fs) for fs in res.feature_services + ): + res.feature_services.append(obj) + elif isinstance(obj, OnDemandFeatureView) and not any( + (obj is odfv) for odfv in res.on_demand_feature_views + ): + res.on_demand_feature_views.append(obj) + elif isinstance(obj, RequestFeatureView) and not any( + (obj is rfv) for rfv in res.request_feature_views + ): + res.request_feature_views.append(obj) + res.entities.append(DUMMY_ENTITY) return res diff --git a/sdk/python/feast/saved_dataset.py b/sdk/python/feast/saved_dataset.py index 7a05a9ca221..aead7fe8eff 100644 --- a/sdk/python/feast/saved_dataset.py +++ b/sdk/python/feast/saved_dataset.py @@ -92,17 +92,23 @@ def __str__(self): return str(MessageToJson(self.to_proto())) def __hash__(self): - return hash((id(self), self.name)) + return hash((self.name)) def __eq__(self, other): if not isinstance(other, SavedDataset): raise TypeError( - "Comparisons should only involve FeatureService class objects." + "Comparisons should only involve SavedDataset class objects." ) - if self.name != other.name: - return False - if sorted(self.features) != sorted(other.features): + if ( + self.name != other.name + or sorted(self.features) != sorted(other.features) + or sorted(self.join_keys) != sorted(other.join_keys) + or self.storage != other.storage + or self.full_feature_names != other.full_feature_names + or self.tags != other.tags + or self.feature_service_name != other.feature_service_name + ): return False return True diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py b/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py index 20ff666bd9c..cbcc3ad172b 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py +++ b/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py @@ -10,7 +10,7 @@ name="driver_hourly_stats", # Intentionally use the same FeatureView name entities=["driver_id"], online=False, - batch_source=driver_hourly_stats, + source=driver_hourly_stats, ttl=timedelta(days=1), tags={}, ) @@ -19,7 +19,7 @@ name="driver_hourly_stats", # Intentionally use the same FeatureView name entities=["driver_id"], online=False, - batch_source=driver_hourly_stats, + source=driver_hourly_stats, ttl=timedelta(days=1), tags={}, ) diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py index ae1ce55da7f..558700dc9c8 100644 --- a/sdk/python/tests/integration/registration/test_inference.py +++ b/sdk/python/tests/integration/registration/test_inference.py @@ -30,7 +30,7 @@ SparkSource, ) from feast.on_demand_feature_view import on_demand_feature_view -from feast.types import Float32, PrimitiveFeastType, String, UnixTimestamp +from feast.types import Float32, String, UnixTimestamp from tests.utils.data_source_utils import ( prep_file_source, simple_bq_source_using_query_arg, @@ -229,7 +229,7 @@ def test_view_with_missing_feature(features_df: pd.DataFrame) -> pd.DataFrame: @pytest.mark.parametrize( "request_source_schema", [ - [Field(name="some_date", dtype=PrimitiveFeastType.UNIX_TIMESTAMP)], + [Field(name="some_date", dtype=UnixTimestamp)], {"some_date": ValueType.UNIX_TIMESTAMP}, ], ) diff --git a/sdk/python/tests/integration/registration/test_registry.py b/sdk/python/tests/integration/registration/test_registry.py index 072be15bfee..5f72fb7125b 100644 --- a/sdk/python/tests/integration/registration/test_registry.py +++ b/sdk/python/tests/integration/registration/test_registry.py @@ -29,7 +29,7 @@ from feast.protos.feast.types import Value_pb2 as ValueProto from feast.registry import Registry from feast.repo_config import RegistryConfig -from feast.types import Array, Bytes, Float32, Int32, Int64, PrimitiveFeastType, String +from feast.types import Array, Bytes, Float32, Int32, Int64, String from feast.value_type import ValueType @@ -240,10 +240,7 @@ def test_apply_feature_view_success(test_registry): # TODO(kevjumba): remove this in feast 0.23 when deprecating @pytest.mark.parametrize( "request_source_schema", - [ - [Field(name="my_input_1", dtype=PrimitiveFeastType.INT32)], - {"my_input_1": ValueType.INT32}, - ], + [[Field(name="my_input_1", dtype=Int32)], {"my_input_1": ValueType.INT32}], ) def test_modify_feature_views_success(test_registry, request_source_schema): # Create Feature Views diff --git a/sdk/python/tests/unit/test_data_sources.py b/sdk/python/tests/unit/test_data_sources.py index a0de42e1e22..883ab7ddc09 100644 --- a/sdk/python/tests/unit/test_data_sources.py +++ b/sdk/python/tests/unit/test_data_sources.py @@ -4,7 +4,7 @@ from feast.data_source import PushSource, RequestDataSource, RequestSource from feast.field import Field from feast.infra.offline_stores.bigquery_source import BigQuerySource -from feast.types import PrimitiveFeastType +from feast.types import Bool, Float32 def test_push_with_batch(): @@ -13,8 +13,6 @@ def test_push_with_batch(): ) push_source_proto = push_source.to_proto() assert push_source_proto.HasField("batch_source") - assert push_source_proto.timestamp_field is not None - assert push_source_proto.push_options is not None push_source_unproto = PushSource.from_proto(push_source_proto) @@ -35,8 +33,8 @@ def test_request_data_source_deprecation(): def test_request_source_primitive_type_to_proto(): schema = [ - Field(name="f1", dtype=PrimitiveFeastType.FLOAT32), - Field(name="f2", dtype=PrimitiveFeastType.BOOL), + Field(name="f1", dtype=Float32), + Field(name="f2", dtype=Bool), ] request_source = RequestSource( name="source", schema=schema, description="desc", tags={}, owner="feast", @@ -44,3 +42,32 @@ def test_request_source_primitive_type_to_proto(): request_proto = request_source.to_proto() deserialized_request_source = RequestSource.from_proto(request_proto) assert deserialized_request_source == request_source + + +def test_hash(): + push_source_1 = PushSource( + name="test", batch_source=BigQuerySource(table="test.test"), + ) + push_source_2 = PushSource( + name="test", batch_source=BigQuerySource(table="test.test"), + ) + push_source_3 = PushSource( + name="test", batch_source=BigQuerySource(table="test.test2"), + ) + push_source_4 = PushSource( + name="test", + batch_source=BigQuerySource(table="test.test2"), + description="test", + ) + + s1 = {push_source_1, push_source_2} + assert len(s1) == 1 + + s2 = {push_source_1, push_source_3} + assert len(s2) == 2 + + s3 = {push_source_3, push_source_4} + assert len(s3) == 2 + + s4 = {push_source_1, push_source_2, push_source_3, push_source_4} + assert len(s4) == 3 diff --git a/sdk/python/tests/unit/test_entity.py b/sdk/python/tests/unit/test_entity.py index fee8bd9f009..254a975f678 100644 --- a/sdk/python/tests/unit/test_entity.py +++ b/sdk/python/tests/unit/test_entity.py @@ -63,3 +63,22 @@ def test_multiple_args(): def test_name_keyword(recwarn): Entity(name="my-entity", value_type=ValueType.STRING) assert len(recwarn) == 0 + + +def test_hash(): + entity1 = Entity(name="my-entity", value_type=ValueType.STRING) + entity2 = Entity(name="my-entity", value_type=ValueType.STRING) + entity3 = Entity(name="my-entity", value_type=ValueType.FLOAT) + entity4 = Entity(name="my-entity", value_type=ValueType.FLOAT, description="test") + + s1 = {entity1, entity2} + assert len(s1) == 1 + + s2 = {entity1, entity3} + assert len(s2) == 2 + + s3 = {entity3, entity4} + assert len(s3) == 2 + + s4 = {entity1, entity2, entity3, entity4} + assert len(s4) == 3 diff --git a/sdk/python/tests/unit/test_feature_service.py b/sdk/python/tests/unit/test_feature_service.py index 522ac49de13..80445299f23 100644 --- a/sdk/python/tests/unit/test_feature_service.py +++ b/sdk/python/tests/unit/test_feature_service.py @@ -1,4 +1,8 @@ -from feast import FeatureService +from feast.feature_service import FeatureService +from feast.feature_view import FeatureView +from feast.field import Field +from feast.infra.offline_stores.file_source import FileSource +from feast.types import Float32 def test_feature_service_with_description(): @@ -12,3 +16,42 @@ def test_feature_service_without_description(): feature_service = FeatureService(name="my-feature-service", features=[]) # assert feature_service.to_proto().spec.description == "" + + +def test_hash(): + file_source = FileSource(name="my-file-source", path="test.parquet") + feature_view = FeatureView( + name="my-feature-view", + entities=[], + schema=[ + Field(name="feature1", dtype=Float32), + Field(name="feature2", dtype=Float32), + ], + source=file_source, + ) + feature_service_1 = FeatureService( + name="my-feature-service", features=[feature_view[["feature1", "feature2"]]] + ) + feature_service_2 = FeatureService( + name="my-feature-service", features=[feature_view[["feature1", "feature2"]]] + ) + feature_service_3 = FeatureService( + name="my-feature-service", features=[feature_view[["feature1"]]] + ) + feature_service_4 = FeatureService( + name="my-feature-service", + features=[feature_view[["feature1"]]], + description="test", + ) + + s1 = {feature_service_1, feature_service_2} + assert len(s1) == 1 + + s2 = {feature_service_1, feature_service_3} + assert len(s2) == 2 + + s3 = {feature_service_3, feature_service_4} + assert len(s3) == 2 + + s4 = {feature_service_1, feature_service_2, feature_service_3, feature_service_4} + assert len(s4) == 3 diff --git a/sdk/python/tests/unit/test_feature_view.py b/sdk/python/tests/unit/test_feature_view.py new file mode 100644 index 00000000000..80a583806e7 --- /dev/null +++ b/sdk/python/tests/unit/test_feature_view.py @@ -0,0 +1,64 @@ +# Copyright 2022 The Feast Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from feast.feature_view import FeatureView +from feast.field import Field +from feast.infra.offline_stores.file_source import FileSource +from feast.types import Float32 + + +def test_hash(): + file_source = FileSource(name="my-file-source", path="test.parquet") + feature_view_1 = FeatureView( + name="my-feature-view", + entities=[], + schema=[ + Field(name="feature1", dtype=Float32), + Field(name="feature2", dtype=Float32), + ], + source=file_source, + ) + feature_view_2 = FeatureView( + name="my-feature-view", + entities=[], + schema=[ + Field(name="feature1", dtype=Float32), + Field(name="feature2", dtype=Float32), + ], + source=file_source, + ) + feature_view_3 = FeatureView( + name="my-feature-view", + entities=[], + schema=[Field(name="feature1", dtype=Float32)], + source=file_source, + ) + feature_view_4 = FeatureView( + name="my-feature-view", + entities=[], + schema=[Field(name="feature1", dtype=Float32)], + source=file_source, + description="test", + ) + + s1 = {feature_view_1, feature_view_2} + assert len(s1) == 1 + + s2 = {feature_view_1, feature_view_3} + assert len(s2) == 2 + + s3 = {feature_view_3, feature_view_4} + assert len(s3) == 2 + + s4 = {feature_view_1, feature_view_2, feature_view_3, feature_view_4} + assert len(s4) == 3 diff --git a/sdk/python/tests/unit/test_on_demand_feature_view.py b/sdk/python/tests/unit/test_on_demand_feature_view.py new file mode 100644 index 00000000000..9d45cfbb0b7 --- /dev/null +++ b/sdk/python/tests/unit/test_on_demand_feature_view.py @@ -0,0 +1,102 @@ +# Copyright 2022 The Feast Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import pandas as pd + +from feast.feature_view import FeatureView +from feast.field import Field +from feast.infra.offline_stores.file_source import FileSource +from feast.on_demand_feature_view import OnDemandFeatureView +from feast.types import Float32 + + +def udf1(features_df: pd.DataFrame) -> pd.DataFrame: + df = pd.DataFrame() + df["output1"] = features_df["feature1"] + df["output2"] = features_df["feature2"] + return df + + +def udf2(features_df: pd.DataFrame) -> pd.DataFrame: + df = pd.DataFrame() + df["output1"] = features_df["feature1"] + 100 + df["output2"] = features_df["feature2"] + 100 + return df + + +def test_hash(): + file_source = FileSource(name="my-file-source", path="test.parquet") + feature_view = FeatureView( + name="my-feature-view", + entities=[], + schema=[ + Field(name="feature1", dtype=Float32), + Field(name="feature2", dtype=Float32), + ], + source=file_source, + ) + sources = {"my-feature-view": feature_view} + on_demand_feature_view_1 = OnDemandFeatureView( + name="my-on-demand-feature-view", + sources=sources, + schema=[ + Field(name="output1", dtype=Float32), + Field(name="output2", dtype=Float32), + ], + udf=udf1, + ) + on_demand_feature_view_2 = OnDemandFeatureView( + name="my-on-demand-feature-view", + sources=sources, + schema=[ + Field(name="output1", dtype=Float32), + Field(name="output2", dtype=Float32), + ], + udf=udf1, + ) + on_demand_feature_view_3 = OnDemandFeatureView( + name="my-on-demand-feature-view", + sources=sources, + schema=[ + Field(name="output1", dtype=Float32), + Field(name="output2", dtype=Float32), + ], + udf=udf2, + ) + on_demand_feature_view_4 = OnDemandFeatureView( + name="my-on-demand-feature-view", + sources=sources, + schema=[ + Field(name="output1", dtype=Float32), + Field(name="output2", dtype=Float32), + ], + udf=udf2, + description="test", + ) + + s1 = {on_demand_feature_view_1, on_demand_feature_view_2} + assert len(s1) == 1 + + s2 = {on_demand_feature_view_1, on_demand_feature_view_3} + assert len(s2) == 2 + + s3 = {on_demand_feature_view_3, on_demand_feature_view_4} + assert len(s3) == 2 + + s4 = { + on_demand_feature_view_1, + on_demand_feature_view_2, + on_demand_feature_view_3, + on_demand_feature_view_4, + } + assert len(s4) == 3 From 0b7ec5386e66d21ac9e6d728e14e3663f27cf146 Mon Sep 17 00:00:00 2001 From: Kevin Zhang Date: Tue, 19 Apr 2022 14:02:38 -0700 Subject: [PATCH 15/87] fix: Enforce kw args in datasources (#2567) * Update Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Update to keyword args Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Change kinesis to optional Signed-off-by: Kevin Zhang * Fix review issues Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Add unit tests Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix imports Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang --- sdk/python/feast/data_source.py | 203 +++++++++++++++--- sdk/python/feast/feature_view.py | 2 +- .../infra/offline_stores/bigquery_source.py | 1 + .../spark_offline_store/spark_source.py | 1 + .../trino_offline_store/trino_source.py | 1 - .../feast/infra/offline_stores/file_source.py | 25 ++- .../infra/offline_stores/redshift_source.py | 1 + .../infra/offline_stores/snowflake_source.py | 1 + sdk/python/tests/unit/test_data_sources.py | 78 ++++++- 9 files changed, 271 insertions(+), 42 deletions(-) diff --git a/sdk/python/feast/data_source.py b/sdk/python/feast/data_source.py index 6040654784c..79c6cbdf515 100644 --- a/sdk/python/feast/data_source.py +++ b/sdk/python/feast/data_source.py @@ -186,6 +186,7 @@ class DataSource(ABC): def __init__( self, + *, event_timestamp_column: Optional[str] = None, created_timestamp_column: Optional[str] = None, field_mapping: Optional[Dict[str, str]] = None, @@ -354,11 +355,12 @@ def get_table_column_names_and_types( def __init__( self, - name: str, - event_timestamp_column: str, - bootstrap_servers: str, - message_format: StreamFormat, - topic: str, + *args, + name: Optional[str] = None, + event_timestamp_column: Optional[str] = "", + bootstrap_servers: Optional[str] = None, + message_format: Optional[StreamFormat] = None, + topic: Optional[str] = None, created_timestamp_column: Optional[str] = "", field_mapping: Optional[Dict[str, str]] = None, date_partition_column: Optional[str] = "", @@ -368,22 +370,62 @@ def __init__( timestamp_field: Optional[str] = "", batch_source: Optional[DataSource] = None, ): + positional_attributes = [ + "name", + "event_timestamp_column", + "bootstrap_servers", + "message_format", + "topic", + ] + _name = name + _event_timestamp_column = event_timestamp_column + _bootstrap_servers = bootstrap_servers or "" + _message_format = message_format + _topic = topic or "" + + if args: + warnings.warn( + ( + "Kafka parameters should be specified as a keyword argument instead of a positional arg." + "Feast 0.23+ will not support positional arguments to construct Kafka sources" + ), + DeprecationWarning, + ) + if len(args) > len(positional_attributes): + raise ValueError( + f"Only {', '.join(positional_attributes)} are allowed as positional args when defining " + f"Kafka sources, for backwards compatibility." + ) + if len(args) >= 1: + _name = args[0] + if len(args) >= 2: + _event_timestamp_column = args[1] + if len(args) >= 3: + _bootstrap_servers = args[2] + if len(args) >= 4: + _message_format = args[3] + if len(args) >= 5: + _topic = args[4] + + if _message_format is None: + raise ValueError("Message format must be specified for Kafka source") + print("Asdfasdf") super().__init__( - event_timestamp_column=event_timestamp_column, + event_timestamp_column=_event_timestamp_column, created_timestamp_column=created_timestamp_column, field_mapping=field_mapping, date_partition_column=date_partition_column, description=description, tags=tags, owner=owner, - name=name, + name=_name, timestamp_field=timestamp_field, ) self.batch_source = batch_source self.kafka_options = KafkaOptions( - bootstrap_servers=bootstrap_servers, - message_format=message_format, - topic=topic, + bootstrap_servers=_bootstrap_servers, + message_format=_message_format, + topic=_topic, ) def __eq__(self, other): @@ -472,32 +514,56 @@ class RequestSource(DataSource): def __init__( self, - name: str, - schema: Union[Dict[str, ValueType], List[Field]], + *args, + name: Optional[str] = None, + schema: Optional[Union[Dict[str, ValueType], List[Field]]] = None, description: Optional[str] = "", tags: Optional[Dict[str, str]] = None, owner: Optional[str] = "", ): """Creates a RequestSource object.""" - super().__init__(name=name, description=description, tags=tags, owner=owner) - if isinstance(schema, Dict): + positional_attributes = ["name", "schema"] + _name = name + _schema = schema + if args: + warnings.warn( + ( + "Request source parameters should be specified as a keyword argument instead of a positional arg." + "Feast 0.23+ will not support positional arguments to construct request sources" + ), + DeprecationWarning, + ) + if len(args) > len(positional_attributes): + raise ValueError( + f"Only {', '.join(positional_attributes)} are allowed as positional args when defining " + f"feature views, for backwards compatibility." + ) + if len(args) >= 1: + _name = args[0] + if len(args) >= 2: + _schema = args[1] + + super().__init__(name=_name, description=description, tags=tags, owner=owner) + if not _schema: + raise ValueError("Schema needs to be provided for Request Source") + if isinstance(_schema, Dict): warnings.warn( "Schema in RequestSource is changing type. The schema data type Dict[str, ValueType] is being deprecated in Feast 0.23. " "Please use List[Field] instead for the schema", DeprecationWarning, ) schemaList = [] - for key, valueType in schema.items(): + for key, valueType in _schema.items(): schemaList.append( Field(name=key, dtype=VALUE_TYPES_TO_FEAST_TYPES[valueType]) ) self.schema = schemaList - elif isinstance(schema, List): - self.schema = schema + elif isinstance(_schema, List): + self.schema = _schema else: raise Exception( "Schema type must be either dictionary or list, not " - + str(type(schema)) + + str(type(_schema)) ) def validate(self, config: RepoConfig): @@ -643,12 +709,13 @@ def get_table_query_string(self) -> str: def __init__( self, - name: str, - event_timestamp_column: str, - created_timestamp_column: str, - record_format: StreamFormat, - region: str, - stream_name: str, + *args, + name: Optional[str] = None, + event_timestamp_column: Optional[str] = "", + created_timestamp_column: Optional[str] = "", + record_format: Optional[StreamFormat] = None, + region: Optional[str] = "", + stream_name: Optional[str] = "", field_mapping: Optional[Dict[str, str]] = None, date_partition_column: Optional[str] = "", description: Optional[str] = "", @@ -657,10 +724,53 @@ def __init__( timestamp_field: Optional[str] = "", batch_source: Optional[DataSource] = None, ): + positional_attributes = [ + "name", + "event_timestamp_column", + "created_timestamp_column", + "record_format", + "region", + "stream_name", + ] + _name = name + _event_timestamp_column = event_timestamp_column + _created_timestamp_column = created_timestamp_column + _record_format = record_format + _region = region or "" + _stream_name = stream_name or "" + if args: + warnings.warn( + ( + "Kinesis parameters should be specified as a keyword argument instead of a positional arg." + "Feast 0.23+ will not support positional arguments to construct kinesis sources" + ), + DeprecationWarning, + ) + if len(args) > len(positional_attributes): + raise ValueError( + f"Only {', '.join(positional_attributes)} are allowed as positional args when defining " + f"kinesis sources, for backwards compatibility." + ) + if len(args) >= 1: + _name = args[0] + if len(args) >= 2: + _event_timestamp_column = args[1] + if len(args) >= 3: + _created_timestamp_column = args[2] + if len(args) >= 4: + _record_format = args[3] + if len(args) >= 5: + _region = args[4] + if len(args) >= 6: + _stream_name = args[5] + + if _record_format is None: + raise ValueError("Record format must be specified for kinesis source") + super().__init__( - name=name, - event_timestamp_column=event_timestamp_column, - created_timestamp_column=created_timestamp_column, + name=_name, + event_timestamp_column=_event_timestamp_column, + created_timestamp_column=_created_timestamp_column, field_mapping=field_mapping, date_partition_column=date_partition_column, description=description, @@ -670,7 +780,7 @@ def __init__( ) self.batch_source = batch_source self.kinesis_options = KinesisOptions( - record_format=record_format, region=region, stream_name=stream_name + record_format=_record_format, region=_region, stream_name=_stream_name ) def __eq__(self, other): @@ -725,9 +835,9 @@ class PushSource(DataSource): def __init__( self, - *, - name: str, - batch_source: DataSource, + *args, + name: Optional[str] = None, + batch_source: Optional[DataSource] = None, description: Optional[str] = "", tags: Optional[Dict[str, str]] = None, owner: Optional[str] = "", @@ -744,10 +854,33 @@ def __init__( maintainer. """ - super().__init__(name=name, description=description, tags=tags, owner=owner) - self.batch_source = batch_source - if not self.batch_source: - raise ValueError(f"batch_source is needed for push source {self.name}") + positional_attributes = ["name", "batch_source"] + _name = name + _batch_source = batch_source + if args: + warnings.warn( + ( + "Push source parameters should be specified as a keyword argument instead of a positional arg." + "Feast 0.23+ will not support positional arguments to construct push sources" + ), + DeprecationWarning, + ) + if len(args) > len(positional_attributes): + raise ValueError( + f"Only {', '.join(positional_attributes)} are allowed as positional args when defining " + f"push sources, for backwards compatibility." + ) + if len(args) >= 1: + _name = args[0] + if len(args) >= 2: + _batch_source = args[1] + + super().__init__(name=_name, description=description, tags=tags, owner=owner) + if not _batch_source: + raise ValueError( + f"batch_source parameter is needed for push source {self.name}" + ) + self.batch_source = _batch_source def __eq__(self, other): if not isinstance(other, PushSource): diff --git a/sdk/python/feast/feature_view.py b/sdk/python/feast/feature_view.py index cea8f619cb1..ea5953e2232 100644 --- a/sdk/python/feast/feature_view.py +++ b/sdk/python/feast/feature_view.py @@ -137,7 +137,7 @@ def __init__( ValueError: A field mapping conflicts with an Entity or a Feature. """ - positional_attributes = ["name, entities, ttl"] + positional_attributes = ["name", "entities", "ttl"] _name = name _entities = entities diff --git a/sdk/python/feast/infra/offline_stores/bigquery_source.py b/sdk/python/feast/infra/offline_stores/bigquery_source.py index 31b0ed617e9..cb4cd1b5be7 100644 --- a/sdk/python/feast/infra/offline_stores/bigquery_source.py +++ b/sdk/python/feast/infra/offline_stores/bigquery_source.py @@ -16,6 +16,7 @@ class BigQuerySource(DataSource): def __init__( self, + *, event_timestamp_column: Optional[str] = "", table: Optional[str] = None, created_timestamp_column: Optional[str] = "", diff --git a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py index 65997040cc0..dc92e08a50e 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py +++ b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py @@ -30,6 +30,7 @@ class SparkSourceFormat(Enum): class SparkSource(DataSource): def __init__( self, + *, name: Optional[str] = None, table: Optional[str] = None, query: Optional[str] = None, diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py index 7d6280746ec..b8fddee89ff 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py +++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py @@ -88,7 +88,6 @@ def __init__( table: Optional[str] = None, created_timestamp_column: Optional[str] = "", field_mapping: Optional[Dict[str, str]] = None, - date_partition_column: Optional[str] = None, query: Optional[str] = None, name: Optional[str] = None, description: Optional[str] = "", diff --git a/sdk/python/feast/infra/offline_stores/file_source.py b/sdk/python/feast/infra/offline_stores/file_source.py index 3df0db69b1c..e177642a32f 100644 --- a/sdk/python/feast/infra/offline_stores/file_source.py +++ b/sdk/python/feast/infra/offline_stores/file_source.py @@ -20,7 +20,8 @@ class FileSource(DataSource): def __init__( self, - path: str, + *args, + path: Optional[str] = None, event_timestamp_column: Optional[str] = "", file_format: Optional[FileFormat] = None, created_timestamp_column: Optional[str] = "", @@ -58,13 +59,31 @@ def __init__( >>> from feast import FileSource >>> file_source = FileSource(path="my_features.parquet", timestamp_field="event_timestamp") """ - if path is None: + positional_attributes = ["path"] + _path = path + if args: + if args: + warnings.warn( + ( + "File Source parameters should be specified as a keyword argument instead of a positional arg." + "Feast 0.23+ will not support positional arguments to construct File sources" + ), + DeprecationWarning, + ) + if len(args) > len(positional_attributes): + raise ValueError( + f"Only {', '.join(positional_attributes)} are allowed as positional args when defining " + f"File sources, for backwards compatibility." + ) + if len(args) >= 1: + _path = args[0] + if _path is None: raise ValueError( 'No "path" argument provided. Please set "path" to the location of your file source.' ) self.file_options = FileOptions( file_format=file_format, - uri=path, + uri=_path, s3_endpoint_override=s3_endpoint_override, ) diff --git a/sdk/python/feast/infra/offline_stores/redshift_source.py b/sdk/python/feast/infra/offline_stores/redshift_source.py index f099e307cc8..dcfcb50aa69 100644 --- a/sdk/python/feast/infra/offline_stores/redshift_source.py +++ b/sdk/python/feast/infra/offline_stores/redshift_source.py @@ -16,6 +16,7 @@ class RedshiftSource(DataSource): def __init__( self, + *, event_timestamp_column: Optional[str] = "", table: Optional[str] = None, schema: Optional[str] = None, diff --git a/sdk/python/feast/infra/offline_stores/snowflake_source.py b/sdk/python/feast/infra/offline_stores/snowflake_source.py index 1d24cba44ae..8f3f2f0bb57 100644 --- a/sdk/python/feast/infra/offline_stores/snowflake_source.py +++ b/sdk/python/feast/infra/offline_stores/snowflake_source.py @@ -15,6 +15,7 @@ class SnowflakeSource(DataSource): def __init__( self, + *, database: Optional[str] = None, warehouse: Optional[str] = None, schema: Optional[str] = None, diff --git a/sdk/python/tests/unit/test_data_sources.py b/sdk/python/tests/unit/test_data_sources.py index 883ab7ddc09..6bd4baf4fa9 100644 --- a/sdk/python/tests/unit/test_data_sources.py +++ b/sdk/python/tests/unit/test_data_sources.py @@ -1,10 +1,17 @@ import pytest from feast import ValueType -from feast.data_source import PushSource, RequestDataSource, RequestSource +from feast.data_format import ProtoFormat +from feast.data_source import ( + KafkaSource, + KinesisSource, + PushSource, + RequestDataSource, + RequestSource, +) from feast.field import Field from feast.infra.offline_stores.bigquery_source import BigQuerySource -from feast.types import Bool, Float32 +from feast.types import Bool, Float32, Int64 def test_push_with_batch(): @@ -71,3 +78,70 @@ def test_hash(): s4 = {push_source_1, push_source_2, push_source_3, push_source_4} assert len(s4) == 3 + + +# TODO(kevjumba): Remove this test in feast 0.23 when positional arguments are removed. +def test_default_data_source_kw_arg_warning(): + # source_class = request.param + with pytest.warns(DeprecationWarning): + source = KafkaSource( + "name", "column", "bootstrap_servers", ProtoFormat("class_path"), "topic" + ) + assert source.name == "name" + assert source.timestamp_field == "column" + assert source.kafka_options.bootstrap_servers == "bootstrap_servers" + assert source.kafka_options.topic == "topic" + with pytest.raises(ValueError): + KafkaSource("name", "column", "bootstrap_servers", topic="topic") + + with pytest.warns(DeprecationWarning): + source = KinesisSource( + "name", + "column", + "c_column", + ProtoFormat("class_path"), + "region", + "stream_name", + ) + assert source.name == "name" + assert source.timestamp_field == "column" + assert source.created_timestamp_column == "c_column" + assert source.kinesis_options.region == "region" + assert source.kinesis_options.stream_name == "stream_name" + + with pytest.raises(ValueError): + KinesisSource( + "name", "column", "c_column", region="region", stream_name="stream_name" + ) + + with pytest.warns(DeprecationWarning): + source = RequestSource( + "name", [Field(name="val_to_add", dtype=Int64)], description="description" + ) + assert source.name == "name" + assert source.description == "description" + + with pytest.raises(ValueError): + RequestSource("name") + + with pytest.warns(DeprecationWarning): + source = PushSource( + "name", + BigQuerySource(name="bigquery_source", table="table"), + description="description", + ) + assert source.name == "name" + assert source.description == "description" + assert source.batch_source.name == "bigquery_source" + + with pytest.raises(ValueError): + PushSource("name") + + # No name warning for DataSource + with pytest.warns(UserWarning): + source = KafkaSource( + event_timestamp_column="column", + bootstrap_servers="bootstrap_servers", + message_format=ProtoFormat("class_path"), + topic="topic", + ) From 160d7b71a74531909fab575cb263d02b3996fac2 Mon Sep 17 00:00:00 2001 From: Kevin Zhang Date: Tue, 19 Apr 2022 18:13:38 -0700 Subject: [PATCH 16/87] fix: Enforce kw args featureservice (#2575) * Fix Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Add tests Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang --- sdk/python/feast/feature_service.py | 38 +++++++++++++-- sdk/python/tests/unit/test_feature_service.py | 48 +++++++++++++++++++ 2 files changed, 82 insertions(+), 4 deletions(-) diff --git a/sdk/python/feast/feature_service.py b/sdk/python/feast/feature_service.py index 2febad3b1b9..492d31a8099 100644 --- a/sdk/python/feast/feature_service.py +++ b/sdk/python/feast/feature_service.py @@ -1,3 +1,4 @@ +import warnings from datetime import datetime from typing import Dict, List, Optional, Union @@ -47,8 +48,9 @@ class FeatureService: @log_exceptions def __init__( self, - name: str, - features: List[Union[FeatureView, OnDemandFeatureView]], + *args, + name: Optional[str] = None, + features: Optional[List[Union[FeatureView, OnDemandFeatureView]]] = None, tags: Dict[str, str] = None, description: str = "", owner: str = "", @@ -59,10 +61,38 @@ def __init__( Raises: ValueError: If one of the specified features is not a valid type. """ - self.name = name + positional_attributes = ["name", "features"] + _name = name + _features = features + if args: + warnings.warn( + ( + "Feature service parameters should be specified as a keyword argument instead of a positional arg." + "Feast 0.23+ will not support positional arguments to construct feature service" + ), + DeprecationWarning, + ) + if len(args) > len(positional_attributes): + raise ValueError( + f"Only {', '.join(positional_attributes)} are allowed as positional args when defining " + f"feature service, for backwards compatibility." + ) + if len(args) >= 1: + _name = args[0] + if len(args) >= 2: + _features = args[1] + + if not _name: + raise ValueError("Feature service name needs to be specified") + + if not _features: + # Technically, legal to create feature service with no feature views before. + _features = [] + + self.name = _name self.feature_view_projections = [] - for feature_grouping in features: + for feature_grouping in _features: if isinstance(feature_grouping, BaseFeatureView): self.feature_view_projections.append(feature_grouping.projection) else: diff --git a/sdk/python/tests/unit/test_feature_service.py b/sdk/python/tests/unit/test_feature_service.py index 80445299f23..fc4fd70bcbf 100644 --- a/sdk/python/tests/unit/test_feature_service.py +++ b/sdk/python/tests/unit/test_feature_service.py @@ -1,3 +1,5 @@ +import pytest + from feast.feature_service import FeatureService from feast.feature_view import FeatureView from feast.field import Field @@ -55,3 +57,49 @@ def test_hash(): s4 = {feature_service_1, feature_service_2, feature_service_3, feature_service_4} assert len(s4) == 3 + + +def test_feature_view_kw_args_warning(): + with pytest.warns(DeprecationWarning): + service = FeatureService("name", [], tags={"tag_1": "tag"}, description="desc") + assert service.name == "name" + assert service.tags == {"tag_1": "tag"} + assert service.description == "desc" + + # More positional args than name and features + with pytest.raises(ValueError): + service = FeatureService("name", [], {"tag_1": "tag"}, "desc") + + # No name defined. + with pytest.raises(ValueError): + service = FeatureService(features=[], tags={"tag_1": "tag"}, description="desc") + + +def no_warnings(func): + def wrapper_no_warnings(*args, **kwargs): + with pytest.warns(None) as warnings: + func(*args, **kwargs) + + if len(warnings) > 0: + raise AssertionError( + "Warnings were raised: " + ", ".join([str(w) for w in warnings]) + ) + + return wrapper_no_warnings + + +@no_warnings +def test_feature_view_kw_args_normal(): + file_source = FileSource(name="my-file-source", path="test.parquet") + feature_view = FeatureView( + name="my-feature-view", + entities=[], + schema=[ + Field(name="feature1", dtype=Float32), + Field(name="feature2", dtype=Float32), + ], + source=file_source, + ) + _ = FeatureService( + name="my-feature-service", features=[feature_view[["feature1", "feature2"]]] + ) From b550e591f815aff53accdd064589ef06b6607d97 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Tue, 19 Apr 2022 22:42:38 -0700 Subject: [PATCH 17/87] fix: Use cwd when getting module path (#2577) Signed-off-by: Achal Shah --- sdk/python/feast/repo_operations.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/sdk/python/feast/repo_operations.py b/sdk/python/feast/repo_operations.py index 8a5e6b39f97..40f1a055a94 100644 --- a/sdk/python/feast/repo_operations.py +++ b/sdk/python/feast/repo_operations.py @@ -28,9 +28,9 @@ from feast.usage import log_exceptions_and_usage -def py_path_to_module(path: Path, repo_root: Path) -> str: +def py_path_to_module(path: Path) -> str: return ( - str(path.relative_to(repo_root))[: -len(".py")] + str(path.relative_to(os.getcwd()))[: -len(".py")] .replace("./", "") .replace("/", ".") ) @@ -111,7 +111,7 @@ def parse_repo(repo_root: Path) -> RepoContents: ) for repo_file in get_repo_files(repo_root): - module_path = py_path_to_module(repo_file, repo_root) + module_path = py_path_to_module(repo_file) module = importlib.import_module(module_path) for attr_name in dir(module): obj = getattr(module, attr_name) From f3729812d0666a10290d3a5614729845058f835d Mon Sep 17 00:00:00 2001 From: Benjamin Tan Wei Hao Date: Wed, 20 Apr 2022 22:08:33 +0800 Subject: [PATCH 18/87] fix: Small typo in CLI (#2578) Signed-off-by: Benjamin Tan Co-authored-by: Benjamin Tan --- sdk/python/feast/cli.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/sdk/python/feast/cli.py b/sdk/python/feast/cli.py index 7dc8e198599..80cd1844b61 100644 --- a/sdk/python/feast/cli.py +++ b/sdk/python/feast/cli.py @@ -113,7 +113,7 @@ def version(): @click.pass_context def endpoint(ctx: click.Context): """ - Display feature server endpoints. + Display feature server endpoints """ repo = ctx.obj["CHDIR"] cli_check_repo(repo) @@ -593,7 +593,7 @@ def serve_command(ctx: click.Context, host: str, port: int, no_access_log: bool) ) @click.pass_context def serve_transformations_command(ctx: click.Context, port: int): - """[Experimental] Start a the feature consumption server locally on a given port.""" + """[Experimental] Start a feature consumption server locally on a given port.""" repo = ctx.obj["CHDIR"] cli_check_repo(repo) store = FeatureStore(repo_path=str(repo)) From d66c931026823f77cbfd40bbe82035eb337e417d Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Wed, 20 Apr 2022 12:19:33 -0700 Subject: [PATCH 19/87] fix: Switch from `join_key` to `join_keys` in tests and docs (#2580) * Switch from `join_key` to `join_keys` in tests and docs Signed-off-by: Felix Wang * Convert iterator to list so it can be used repeatedly Signed-off-by: Felix Wang * Format Signed-off-by: Felix Wang --- docs/getting-started/concepts/entity.md | 2 +- docs/getting-started/concepts/feature-view.md | 2 +- docs/getting-started/quickstart.md | 4 ++-- docs/tutorials/validating-historical-features.md | 2 +- sdk/python/feast/feature_view.py | 2 +- sdk/python/feast/inference.py | 4 +++- sdk/python/feast/templates/aws/driver_repo.py | 6 +++--- sdk/python/feast/templates/gcp/driver_repo.py | 6 +++--- sdk/python/feast/templates/local/example.py | 2 +- .../feast/templates/snowflake/driver_repo.py | 6 +++--- .../tests/example_repos/example_feature_repo_1.py | 4 ++-- .../example_feature_repo_with_entity_join_key.py | 2 +- .../feature_repos/universal/entities.py | 2 +- .../test_universal_historical_retrieval.py | 2 +- .../integration/registration/test_feature_store.py | 6 ++++-- .../integration/registration/test_inference.py | 14 +++++++------- 16 files changed, 35 insertions(+), 31 deletions(-) diff --git a/docs/getting-started/concepts/entity.md b/docs/getting-started/concepts/entity.md index bc8aa2ac995..77cfc0aff2e 100644 --- a/docs/getting-started/concepts/entity.md +++ b/docs/getting-started/concepts/entity.md @@ -3,7 +3,7 @@ An entity is a collection of semantically related features. Users define entities to map to the domain of their use case. For example, a ride-hailing service could have customers and drivers as their entities, which group related features that correspond to these customers and drivers. ```python -driver = Entity(name='driver', value_type=ValueType.STRING, join_key='driver_id') +driver = Entity(name='driver', value_type=ValueType.STRING, join_keys=['driver_id']) ``` Entities are typically defined as part of feature views. Entity name is used to reference the entity from a feature view definition and join key is used to identify the physical primary key on which feature values should be stored and retrieved. These keys are used during the lookup of feature values from the online store and the join process in point-in-time joins. It is possible to define composite entities \(more than one entity object\) in a feature view. It is also possible for feature views to have zero entities. See [feature view](feature-view.md) for more details. diff --git a/docs/getting-started/concepts/feature-view.md b/docs/getting-started/concepts/feature-view.md index 80fd803d1f2..e3decf39c96 100644 --- a/docs/getting-started/concepts/feature-view.md +++ b/docs/getting-started/concepts/feature-view.md @@ -79,7 +79,7 @@ It is suggested that you dynamically specify the new FeatureView name using `.wi from feast import BigQuerySource, Entity, FeatureView, Field, ValueType from feast.types import Int32 -location = Entity(name="location", join_key="location_id", value_type=ValueType.INT64) +location = Entity(name="location", join_keys=["location_id"], value_type=ValueType.INT64) location_stats_fv= FeatureView( name="location_stats", diff --git a/docs/getting-started/quickstart.md b/docs/getting-started/quickstart.md index b188e0189d6..e9a294d5fce 100644 --- a/docs/getting-started/quickstart.md +++ b/docs/getting-started/quickstart.md @@ -98,7 +98,7 @@ driver_hourly_stats = FileSource( # fetch features. # Entity has a name used for later reference (in a feature view, eg) # and join_key to identify physical field name used in storages -driver = Entity(name="driver", value_type=ValueType.INT64, join_key="driver_id", description="driver id",) +driver = Entity(name="driver", value_type=ValueType.INT64, join_keys=["driver_id"], description="driver id",) # Our parquet files contain sample data that includes a driver_id column, timestamps and # three feature column. Here we define a Feature View that will allow us to serve this @@ -168,7 +168,7 @@ driver_hourly_stats = FileSource( # fetch features. # Entity has a name used for later reference (in a feature view, eg) # and join_key to identify physical field name used in storages -driver = Entity(name="driver", value_type=ValueType.INT64, join_key="driver_id", description="driver id",) +driver = Entity(name="driver", value_type=ValueType.INT64, join_keys=["driver_id"], description="driver id",) # Our parquet files contain sample data that includes a driver_id column, timestamps and # three feature column. Here we define a Feature View that will allow us to serve this diff --git a/docs/tutorials/validating-historical-features.md b/docs/tutorials/validating-historical-features.md index 5f85e66c946..addd309902a 100644 --- a/docs/tutorials/validating-historical-features.md +++ b/docs/tutorials/validating-historical-features.md @@ -129,7 +129,7 @@ batch_source = FileSource( ```python -taxi_entity = Entity(name='taxi', join_key='taxi_id') +taxi_entity = Entity(name='taxi', join_keys=['taxi_id']) ``` diff --git a/sdk/python/feast/feature_view.py b/sdk/python/feast/feature_view.py index ea5953e2232..7060870780b 100644 --- a/sdk/python/feast/feature_view.py +++ b/sdk/python/feast/feature_view.py @@ -45,7 +45,7 @@ DUMMY_ENTITY_NAME = "__dummy" DUMMY_ENTITY_VAL = "" DUMMY_ENTITY = Entity( - name=DUMMY_ENTITY_NAME, join_key=DUMMY_ENTITY_ID, value_type=ValueType.STRING, + name=DUMMY_ENTITY_NAME, join_keys=[DUMMY_ENTITY_ID], value_type=ValueType.STRING, ) diff --git a/sdk/python/feast/inference.py b/sdk/python/feast/inference.py index 38f3fa36cfb..711b37c0b4d 100644 --- a/sdk/python/feast/inference.py +++ b/sdk/python/feast/inference.py @@ -32,7 +32,9 @@ def update_entities_with_inferred_types_from_feature_views( if not (incomplete_entities_keys & set(view.entities)): continue # skip if view doesn't contain any entities that need inference - col_names_and_types = view.batch_source.get_table_column_names_and_types(config) + col_names_and_types = list( + view.batch_source.get_table_column_names_and_types(config) + ) for entity_name in view.entities: if entity_name in incomplete_entities: entity = incomplete_entities[entity_name] diff --git a/sdk/python/feast/templates/aws/driver_repo.py b/sdk/python/feast/templates/aws/driver_repo.py index 04c3ea3b9c0..5188f57cf83 100644 --- a/sdk/python/feast/templates/aws/driver_repo.py +++ b/sdk/python/feast/templates/aws/driver_repo.py @@ -9,10 +9,10 @@ driver = Entity( # Name of the entity. Must be unique within a project name="driver", - # The join key of an entity describes the storage level field/column on which - # features can be looked up. The join key is also used to join feature + # The join keys of an entity describe the storage level field/column on which + # features can be looked up. The join keys are also used to join feature # tables/views when building feature vectors - join_key="driver_id", + join_keys=["driver_id"], # The storage level type for an entity value_type=ValueType.INT64, ) diff --git a/sdk/python/feast/templates/gcp/driver_repo.py b/sdk/python/feast/templates/gcp/driver_repo.py index 7c686cdb6ff..7d137f996b6 100644 --- a/sdk/python/feast/templates/gcp/driver_repo.py +++ b/sdk/python/feast/templates/gcp/driver_repo.py @@ -9,10 +9,10 @@ driver = Entity( # Name of the entity. Must be unique within a project name="driver", - # The join key of an entity describes the storage level field/column on which - # features can be looked up. The join key is also used to join feature + # The join keys of an entity describe the storage level field/column on which + # features can be looked up. The join keys are also used to join feature # tables/views when building feature vectors - join_key="driver_id", + join_keys=["driver_id"], # The storage level type for an entity value_type=ValueType.INT64, ) diff --git a/sdk/python/feast/templates/local/example.py b/sdk/python/feast/templates/local/example.py index 56d24e60a5b..1d441e0e995 100644 --- a/sdk/python/feast/templates/local/example.py +++ b/sdk/python/feast/templates/local/example.py @@ -16,7 +16,7 @@ # Define an entity for the driver. You can think of entity as a primary key used to # fetch features. -driver = Entity(name="driver", join_key="driver_id", value_type=ValueType.INT64,) +driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64,) # Our parquet files contain sample data that includes a driver_id column, timestamps and # three feature column. Here we define a Feature View that will allow us to serve this diff --git a/sdk/python/feast/templates/snowflake/driver_repo.py b/sdk/python/feast/templates/snowflake/driver_repo.py index 55a25d445c4..ecccb9863bc 100644 --- a/sdk/python/feast/templates/snowflake/driver_repo.py +++ b/sdk/python/feast/templates/snowflake/driver_repo.py @@ -11,10 +11,10 @@ driver = Entity( # Name of the entity. Must be unique within a project name="driver", - # The join key of an entity describes the storage level field/column on which - # features can be looked up. The join key is also used to join feature + # The join keys of an entity describe the storage level field/column on which + # features can be looked up. The join keys are also used to join feature # tables/views when building feature vectors - join_key="driver_id", + join_keys=["driver_id"], ) # Indicates a data source from which feature values can be retrieved. Sources are queried when building training diff --git a/sdk/python/tests/example_repos/example_feature_repo_1.py b/sdk/python/tests/example_repos/example_feature_repo_1.py index bd07100af85..d8b6d7c89b1 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_1.py +++ b/sdk/python/tests/example_repos/example_feature_repo_1.py @@ -45,14 +45,14 @@ driver = Entity( name="driver", # The name is derived from this argument, not object name. - join_key="driver_id", + join_keys=["driver_id"], value_type=ValueType.INT64, description="driver id", ) customer = Entity( name="customer", # The name is derived from this argument, not object name. - join_key="customer_id", + join_keys=["customer_id"], value_type=ValueType.STRING, ) diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py index 3e1bbbba779..ba18cf84bae 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py +++ b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py @@ -15,7 +15,7 @@ name="driver_id", value_type=ValueType.INT64, description="driver id", - join_key="driver", + join_keys=["driver"], ) diff --git a/sdk/python/tests/integration/feature_repos/universal/entities.py b/sdk/python/tests/integration/feature_repos/universal/entities.py index e8e90a6af62..b7a7583f1b3 100644 --- a/sdk/python/tests/integration/feature_repos/universal/entities.py +++ b/sdk/python/tests/integration/feature_repos/universal/entities.py @@ -6,7 +6,7 @@ def driver(value_type: ValueType = ValueType.INT64): name="driver", # The name is derived from this argument, not object name. value_type=value_type, description="driver id", - join_key="driver_id", + join_keys=["driver_id"], ) diff --git a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py index 0d6ef84ff47..b62f7cda243 100644 --- a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py +++ b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py @@ -689,7 +689,7 @@ def test_historical_features_from_bigquery_sources_containing_backfills(environm created_timestamp_column="created", ) - driver = Entity(name="driver", join_key="driver_id", value_type=ValueType.INT64) + driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64) driver_fv = FeatureView( name="driver_stats", entities=["driver"], diff --git a/sdk/python/tests/integration/registration/test_feature_store.py b/sdk/python/tests/integration/registration/test_feature_store.py index 39de7fc6888..ca61734c784 100644 --- a/sdk/python/tests/integration/registration/test_feature_store.py +++ b/sdk/python/tests/integration/registration/test_feature_store.py @@ -219,7 +219,9 @@ def test_feature_view_inference_success(test_feature_store, dataframe_source): with prep_file_source( df=dataframe_source, event_timestamp_column="ts_1" ) as file_source: - entity = Entity(name="id", join_key="id_join_key", value_type=ValueType.INT64) + entity = Entity( + name="id", join_keys=["id_join_key"], value_type=ValueType.INT64 + ) fv1 = FeatureView( name="fv1", @@ -436,7 +438,7 @@ def test_reapply_feature_view_success(test_feature_store, dataframe_source): df=dataframe_source, event_timestamp_column="ts_1" ) as file_source: - e = Entity(name="id", join_key="id_join_key", value_type=ValueType.STRING) + e = Entity(name="id", join_keys=["id_join_key"], value_type=ValueType.STRING) # Create Feature View fv1 = FeatureView( diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py index 558700dc9c8..6e9aff1f034 100644 --- a/sdk/python/tests/integration/registration/test_inference.py +++ b/sdk/python/tests/integration/registration/test_inference.py @@ -54,8 +54,8 @@ def test_update_entities_with_inferred_types_from_feature_views( name="fv2", entities=["id"], batch_source=file_source_2, ttl=None, ) - actual_1 = Entity(name="id", join_key="id_join_key") - actual_2 = Entity(name="id", join_key="id_join_key") + actual_1 = Entity(name="id", join_keys=["id_join_key"]) + actual_2 = Entity(name="id", join_keys=["id_join_key"]) update_entities_with_inferred_types_from_feature_views( [actual_1], [fv1], RepoConfig(provider="local", project="test") @@ -64,16 +64,16 @@ def test_update_entities_with_inferred_types_from_feature_views( [actual_2], [fv2], RepoConfig(provider="local", project="test") ) assert actual_1 == Entity( - name="id", join_key="id_join_key", value_type=ValueType.INT64 + name="id", join_keys=["id_join_key"], value_type=ValueType.INT64 ) assert actual_2 == Entity( - name="id", join_key="id_join_key", value_type=ValueType.STRING + name="id", join_keys=["id_join_key"], value_type=ValueType.STRING ) with pytest.raises(RegistryInferenceFailure): # two viable data types update_entities_with_inferred_types_from_feature_views( - [Entity(name="id", join_key="id_join_key")], + [Entity(name="id", join_keys=["id_join_key"])], [fv1, fv2], RepoConfig(provider="local", project="test"), ) @@ -289,8 +289,8 @@ def test_view_with_missing_feature(features_df: pd.DataFrame) -> pd.DataFrame: def test_update_feature_views_with_inferred_features(): file_source = FileSource(name="test", path="test path") - entity1 = Entity(name="test1", join_key="test_column_1") - entity2 = Entity(name="test2", join_key="test_column_2") + entity1 = Entity(name="test1", join_keys=["test_column_1"]) + entity2 = Entity(name="test2", join_keys=["test_column_2"]) feature_view_1 = FeatureView( name="test1", entities=[entity1], From ed2f979fab0bb9ca4ea6f8e56cc55b0b9ad107a6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gunnar=20Sv=20Sigurbj=C3=B6rnsson?= Date: Wed, 20 Apr 2022 20:40:33 +0000 Subject: [PATCH 20/87] feat: Postgres supported as Registry, Online store, and Offline store (#2401) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Feast-postgres added to Feast repo Signed-off-by: Gunnar Sv Sigurbjörnsson * Add a template for postgres to allow feast init -t postgres Signed-off-by: Gunnar Sv Sigurbjörnsson * Split contrib repo configuration to separate file for each Signed-off-by: Gunnar Sv Sigurbjörnsson * Moved the postgres type maps into feast.type_map Signed-off-by: Gunnar Sv Sigurbjörnsson * Upgrade to latest feast, get postgres tests running, pip lock files Signed-off-by: Gunnar Sv Sigurbjörnsson * Fix setup.py Signed-off-by: Kevin Zhang * Fix the ci requirements Signed-off-by: Kevin Zhang * Fix repo_config for rest of sources Signed-off-by: Kevin Zhang * Make backwards compatible with python 3.8- Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * address comments Signed-off-by: Danny Chiao * update lock files Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * lock files Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * cleanup Signed-off-by: Danny Chiao * missed refactor name Signed-off-by: Danny Chiao * Remove snowflake references from test.py for postgres Signed-off-by: Gunnar Sv Sigurbjörnsson * update repo to match new API Signed-off-by: Danny Chiao * Add documentation Signed-off-by: Danny Chiao * rename utils Signed-off-by: Danny Chiao * update roadmap docs Signed-off-by: Danny Chiao * update documentation Signed-off-by: Danny Chiao Co-authored-by: Kevin Zhang Co-authored-by: Kevin Zhang Co-authored-by: Danny Chiao --- Makefile | 13 + README.md | 12 +- .../third-party-integrations.md | 12 +- docs/reference/data-sources/postgres.md | 25 + docs/reference/data-sources/spark.md | 2 +- docs/reference/offline-stores/postgres.md | 34 ++ docs/reference/offline-stores/spark.md | 2 +- docs/reference/online-stores/postgres.md | 27 + docs/roadmap.md | 12 +- sdk/python/docs/index.rst | 21 +- ..._stores.contrib.postgres_offline_store.rst | 29 + .../feast.infra.offline_stores.contrib.rst | 9 + .../feast.infra.online_stores.contrib.rst | 21 + .../docs/source/feast.infra.online_stores.rst | 8 + .../source/feast.infra.utils.postgres.rst | 29 + sdk/python/docs/source/feast.infra.utils.rst | 8 + sdk/python/docs/source/feast.rst | 16 + sdk/python/docs/source/index.rst | 21 +- sdk/python/docs/source/modules.rst | 7 + sdk/python/feast/cli.py | 2 +- .../postgres_offline_store/__init__.py | 0 .../postgres_offline_store/postgres.py | 541 ++++++++++++++++++ .../postgres_offline_store/postgres_source.py | 117 ++++ .../contrib/postgres_repo_configuration.py | 24 + .../infra/online_stores/contrib/__init__.py | 0 .../infra/online_stores/contrib/postgres.py | 234 ++++++++ .../contrib/postgres/registry_store.py | 112 ++++ .../feast/infra/utils/postgres/__init__.py | 0 .../infra/utils/postgres/connection_utils.py | 64 +++ .../infra/utils/postgres/postgres_config.py | 12 + sdk/python/feast/registry.py | 1 + sdk/python/feast/repo_config.py | 2 + .../feast/templates/postgres/__init__.py | 0 .../feast/templates/postgres/bootstrap.py | 78 +++ .../feast/templates/postgres/driver_repo.py | 29 + .../templates/postgres/feature_store.yaml | 27 + sdk/python/feast/templates/postgres/test.py | 63 ++ sdk/python/feast/type_map.py | 140 +++++ .../requirements/py3.10-ci-requirements.txt | 44 +- .../requirements/py3.10-requirements.txt | 8 +- .../requirements/py3.7-ci-requirements.txt | 270 +++------ .../requirements/py3.7-requirements.txt | 50 +- .../requirements/py3.8-ci-requirements.txt | 46 +- .../requirements/py3.8-requirements.txt | 10 +- .../requirements/py3.9-ci-requirements.txt | 50 +- .../requirements/py3.9-requirements.txt | 8 +- sdk/python/setup.py | 8 +- .../universal/data_sources/__init__.py | 0 .../universal/data_sources/postgres.py | 71 +++ 49 files changed, 2010 insertions(+), 309 deletions(-) create mode 100644 docs/reference/data-sources/postgres.md create mode 100644 docs/reference/offline-stores/postgres.md create mode 100644 docs/reference/online-stores/postgres.md create mode 100644 sdk/python/docs/source/feast.infra.offline_stores.contrib.postgres_offline_store.rst create mode 100644 sdk/python/docs/source/feast.infra.online_stores.contrib.rst create mode 100644 sdk/python/docs/source/feast.infra.utils.postgres.rst create mode 100644 sdk/python/docs/source/modules.rst create mode 100644 sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/__init__.py create mode 100644 sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py create mode 100644 sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres_source.py create mode 100644 sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py create mode 100644 sdk/python/feast/infra/online_stores/contrib/__init__.py create mode 100644 sdk/python/feast/infra/online_stores/contrib/postgres.py create mode 100644 sdk/python/feast/infra/registry_stores/contrib/postgres/registry_store.py create mode 100644 sdk/python/feast/infra/utils/postgres/__init__.py create mode 100644 sdk/python/feast/infra/utils/postgres/connection_utils.py create mode 100644 sdk/python/feast/infra/utils/postgres/postgres_config.py create mode 100644 sdk/python/feast/templates/postgres/__init__.py create mode 100644 sdk/python/feast/templates/postgres/bootstrap.py create mode 100644 sdk/python/feast/templates/postgres/driver_repo.py create mode 100644 sdk/python/feast/templates/postgres/feature_store.yaml create mode 100644 sdk/python/feast/templates/postgres/test.py create mode 100644 sdk/python/tests/integration/feature_repos/universal/data_sources/__init__.py create mode 100644 sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py diff --git a/Makefile b/Makefile index 41041d7c081..61549d4d0f4 100644 --- a/Makefile +++ b/Makefile @@ -74,6 +74,19 @@ test-python-integration-container: test-python-universal-contrib: PYTHONPATH='.' FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.contrib_repo_configuration FEAST_USAGE=False IS_TEST=True python -m pytest -n 8 --integration --universal sdk/python/tests +test-python-universal-postgres: + PYTHONPATH='.' \ + FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.postgres_repo_configuration \ + FEAST_USAGE=False \ + IS_TEST=True \ + python -m pytest --integration --universal \ + -k "not test_historical_retrieval_fails_on_validation and \ + not test_historical_retrieval_with_validation and \ + not test_historical_features_persisting and \ + not test_historical_retrieval_fails_on_validation and \ + not test_universal_cli" \ + sdk/python/tests + test-python-universal-local: FEAST_USAGE=False IS_TEST=True FEAST_IS_LOCAL_TEST=True python -m pytest -n 8 --integration --universal sdk/python/tests diff --git a/README.md b/README.md index af4df061752..a65cb9ce27a 100644 --- a/README.md +++ b/README.md @@ -146,8 +146,8 @@ The list below contains the functionality that contributors are planning to deve * [x] [Parquet file source](https://docs.feast.dev/reference/data-sources/file) * [x] [Synapse source (community plugin)](https://github.com/Azure/feast-azure) * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive) - * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) - * [x] [Spark (community plugin)](https://docs.feast.dev/reference/data-sources/spark) + * [x] [Postgres (contrib plugin)](https://docs.feast.dev/reference/data-sources/postgres) + * [x] [Spark (contrib plugin)](https://docs.feast.dev/reference/data-sources/spark) * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push)) * [ ] HTTP source * **Offline Stores** @@ -156,9 +156,9 @@ The list below contains the functionality that contributors are planning to deve * [x] [BigQuery](https://docs.feast.dev/reference/offline-stores/bigquery) * [x] [Synapse (community plugin)](https://github.com/Azure/feast-azure) * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive) - * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) - * [x] [Trino (community plugin)](https://github.com/Shopify/feast-trino) - * [x] [Spark (community plugin)](https://docs.feast.dev/reference/offline-stores/spark) + * [x] [Postgres (contrib plugin)](https://docs.feast.dev/reference/offline-stores/postgres) + * [x] [Trino (contrib plugin)](https://github.com/Shopify/feast-trino) + * [x] [Spark (contrib plugin)](https://docs.feast.dev/reference/offline-stores/spark) * [x] [In-memory / Pandas](https://docs.feast.dev/reference/offline-stores/file) * [x] [Custom offline store support](https://docs.feast.dev/how-to-guides/adding-a-new-offline-store) * **Online Stores** @@ -167,7 +167,7 @@ The list below contains the functionality that contributors are planning to deve * [x] [Datastore](https://docs.feast.dev/reference/online-stores/datastore) * [x] [SQLite](https://docs.feast.dev/reference/online-stores/sqlite) * [x] [Azure Cache for Redis (community plugin)](https://github.com/Azure/feast-azure) - * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) + * [x] [Postgres (contrib plugin)](https://docs.feast.dev/reference/online-stores/postgres) * [x] [Custom online store support](https://docs.feast.dev/how-to-guides/adding-support-for-a-new-online-store) * [ ] Bigtable (in progress) * [ ] Cassandra diff --git a/docs/getting-started/third-party-integrations.md b/docs/getting-started/third-party-integrations.md index 0c233d7b692..ab926682662 100644 --- a/docs/getting-started/third-party-integrations.md +++ b/docs/getting-started/third-party-integrations.md @@ -19,8 +19,8 @@ Don't see your offline store or online store of choice here? Check out our guide * [x] [Parquet file source](https://docs.feast.dev/reference/data-sources/file) * [x] [Synapse source (community plugin)](https://github.com/Azure/feast-azure) * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive) -* [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) -* [x] [Spark (community plugin)](https://docs.feast.dev/reference/data-sources/spark) +* [x] [Postgres (contrib plugin)](https://docs.feast.dev/reference/data-sources/postgres) +* [x] [Spark (contrib plugin)](https://docs.feast.dev/reference/data-sources/spark) * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push)) * [ ] HTTP source @@ -31,9 +31,9 @@ Don't see your offline store or online store of choice here? Check out our guide * [x] [BigQuery](https://docs.feast.dev/reference/offline-stores/bigquery) * [x] [Synapse (community plugin)](https://github.com/Azure/feast-azure) * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive) -* [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) -* [x] [Trino (community plugin)](https://github.com/Shopify/feast-trino) -* [x] [Spark (community plugin)](https://docs.feast.dev/reference/offline-stores/spark) +* [x] [Postgres (contrib plugin)](https://docs.feast.dev/reference/offline-stores/postgres) +* [x] [Trino (contrib plugin)](https://github.com/Shopify/feast-trino) +* [x] [Spark (contrib plugin)](https://docs.feast.dev/reference/offline-stores/spark) * [x] [In-memory / Pandas](https://docs.feast.dev/reference/offline-stores/file) * [x] [Custom offline store support](https://docs.feast.dev/how-to-guides/adding-a-new-offline-store) @@ -44,7 +44,7 @@ Don't see your offline store or online store of choice here? Check out our guide * [x] [Datastore](https://docs.feast.dev/reference/online-stores/datastore) * [x] [SQLite](https://docs.feast.dev/reference/online-stores/sqlite) * [x] [Azure Cache for Redis (community plugin)](https://github.com/Azure/feast-azure) -* [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) +* [x] [Postgres (contrib plugin)](https://docs.feast.dev/reference/online-stores/postgres) * [x] [Custom online store support](https://docs.feast.dev/how-to-guides/adding-support-for-a-new-online-store) * [ ] Bigtable (in progress) * [ ] Cassandra diff --git a/docs/reference/data-sources/postgres.md b/docs/reference/data-sources/postgres.md new file mode 100644 index 00000000000..759cb50bbd7 --- /dev/null +++ b/docs/reference/data-sources/postgres.md @@ -0,0 +1,25 @@ +# PostgreSQL + +## Description + +**NOTE**: The Postgres plugin is a contrib plugin. This means it may not be fully stable. + + +The PostgreSQL data source allows for the retrieval of historical feature values from a PostgreSQL database for building training datasets as well as materializing features into an online store. + +## Examples + +Defining a Postgres source + +```python +from feast.infra.offline_stores.contrib.postgres_offline_store.postgres_source import ( + PostgreSQLSource, +) + +driver_stats_source = PostgreSQLSource( + name="feast_driver_hourly_stats", + query="SELECT * FROM feast_driver_hourly_stats", + timestamp_field="event_timestamp", + created_timestamp_column="created", +) +``` diff --git a/docs/reference/data-sources/spark.md b/docs/reference/data-sources/spark.md index 2c1d1ec879d..266a401a512 100644 --- a/docs/reference/data-sources/spark.md +++ b/docs/reference/data-sources/spark.md @@ -1,4 +1,4 @@ -# Spark +# Spark (contrib) ## Description diff --git a/docs/reference/offline-stores/postgres.md b/docs/reference/offline-stores/postgres.md new file mode 100644 index 00000000000..b64b2350caa --- /dev/null +++ b/docs/reference/offline-stores/postgres.md @@ -0,0 +1,34 @@ +# PostgreSQL (contrib) + +## Description + +The PostgreSQL offline store is an offline store that provides support for reading [PostgreSQL](../data-sources/postgres.md) data sources. + + +**DISCLAIMER**: This PostgreSQL offline store still does not achieve full test coverage. + +* Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. Pandas dataframes will be converted to a Spark dataframe and processed as a temporary view. +* A `SparkRetrievalJob` is returned when calling `get_historical_features()`. + * This allows you to call + * `to_df` to retrieve the pandas dataframe. + * `to_arrow` to retrieve the dataframe as a PyArrow table. + +## Example + +{% code title="feature_store.yaml" %} +```yaml +project: my_project +registry: data/registry.db +provider: local +offline_store: + type: postgres + host: DB_HOST + port: DB_PORT + database: DB_NAME + db_schema: DB_SCHEMA + user: DB_USERNAME + password: DB_PASSWORD +online_store: + path: data/online_store.db +``` +{% endcode %} diff --git a/docs/reference/offline-stores/spark.md b/docs/reference/offline-stores/spark.md index 48ddf46d179..7eec8d7b73d 100644 --- a/docs/reference/offline-stores/spark.md +++ b/docs/reference/offline-stores/spark.md @@ -1,4 +1,4 @@ -# Spark +# Spark (contrib) ## Description diff --git a/docs/reference/online-stores/postgres.md b/docs/reference/online-stores/postgres.md new file mode 100644 index 00000000000..917673f278c --- /dev/null +++ b/docs/reference/online-stores/postgres.md @@ -0,0 +1,27 @@ +# PostgreSQL (contrib) + +## Description + +The PostgreSQL online store provides support for materializing feature values into a PostgreSQL database for serving online features. + +* Only the latest feature values are persisted + +## Example + +{% code title="feature_store.yaml" %} +```yaml +project: my_feature_repo +registry: data/registry.db +provider: local +online_store: + type: postgres + host: DB_HOST + port: DB_PORT + database: DB_NAME + db_schema: DB_SCHEMA + user: DB_USERNAME + password: DB_PASSWORD +``` +{% endcode %} + +Configuration options are available [here](https://rtd.feast.dev/en/latest/#feast.repo_config.SqliteOnlineStoreConfig). diff --git a/docs/roadmap.md b/docs/roadmap.md index 3eb181c0daf..bfee5b155c0 100644 --- a/docs/roadmap.md +++ b/docs/roadmap.md @@ -14,8 +14,8 @@ The list below contains the functionality that contributors are planning to deve * [x] [Parquet file source](https://docs.feast.dev/reference/data-sources/file) * [x] [Synapse source (community plugin)](https://github.com/Azure/feast-azure) * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive) - * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) - * [x] [Spark (community plugin)](https://docs.feast.dev/reference/data-sources/spark) + * [x] [Postgres (contrib plugin)](https://docs.feast.dev/reference/data-sources/postgres) + * [x] [Spark (contrib plugin)](https://docs.feast.dev/reference/data-sources/spark) * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push)) * [ ] HTTP source * **Offline Stores** @@ -24,9 +24,9 @@ The list below contains the functionality that contributors are planning to deve * [x] [BigQuery](https://docs.feast.dev/reference/offline-stores/bigquery) * [x] [Synapse (community plugin)](https://github.com/Azure/feast-azure) * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive) - * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) - * [x] [Trino (community plugin)](https://github.com/Shopify/feast-trino) - * [x] [Spark (community plugin)](https://docs.feast.dev/reference/offline-stores/spark) + * [x] [Postgres (contrib plugin)](https://docs.feast.dev/reference/offline-stores/postgres) + * [x] [Trino (contrib plugin)](https://github.com/Shopify/feast-trino) + * [x] [Spark (contrib plugin)](https://docs.feast.dev/reference/offline-stores/spark) * [x] [In-memory / Pandas](https://docs.feast.dev/reference/offline-stores/file) * [x] [Custom offline store support](https://docs.feast.dev/how-to-guides/adding-a-new-offline-store) * **Online Stores** @@ -35,7 +35,7 @@ The list below contains the functionality that contributors are planning to deve * [x] [Datastore](https://docs.feast.dev/reference/online-stores/datastore) * [x] [SQLite](https://docs.feast.dev/reference/online-stores/sqlite) * [x] [Azure Cache for Redis (community plugin)](https://github.com/Azure/feast-azure) - * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres) + * [x] [Postgres (contrib plugin)](https://docs.feast.dev/reference/online-stores/postgres) * [x] [Custom online store support](https://docs.feast.dev/how-to-guides/adding-support-for-a-new-online-store) * [ ] Bigtable (in progress) * [ ] Cassandra diff --git a/sdk/python/docs/index.rst b/sdk/python/docs/index.rst index 52783b40e3d..ca746707eac 100644 --- a/sdk/python/docs/index.rst +++ b/sdk/python/docs/index.rst @@ -59,6 +59,12 @@ Trino Source :members: :exclude-members: TrinoOptions +PostgreSQL Source +------------------ + +.. automodule:: feast.infra.offline_stores.contrib.postgres_offline_store.postgres_source + :members: + :exclude-members: PostgreSQLOptions File Source ------------------ @@ -192,6 +198,12 @@ Trino Offline Store .. automodule:: feast.infra.offline_stores.contrib.trino_offline_store.trino :members: +PostgreSQL Offline Store +------------------------ + +.. automodule:: feast.infra.offline_stores.contrib.postgres_offline_store.postgres + :members: + Online Store ================== @@ -223,4 +235,11 @@ Redis Online Store .. automodule:: feast.infra.online_stores.redis :members: - :noindex: \ No newline at end of file + :noindex: + +PostgreSQL Online Store +----------------------- + +.. automodule:: feast.infra.online_stores.contrib.postgres + :members: + :noindex: diff --git a/sdk/python/docs/source/feast.infra.offline_stores.contrib.postgres_offline_store.rst b/sdk/python/docs/source/feast.infra.offline_stores.contrib.postgres_offline_store.rst new file mode 100644 index 00000000000..95afafb5b80 --- /dev/null +++ b/sdk/python/docs/source/feast.infra.offline_stores.contrib.postgres_offline_store.rst @@ -0,0 +1,29 @@ +feast.infra.offline\_stores.contrib.postgres\_offline\_store package +==================================================================== + +Submodules +---------- + +feast.infra.offline\_stores.contrib.postgres\_offline\_store.postgres module +---------------------------------------------------------------------------- + +.. automodule:: feast.infra.offline_stores.contrib.postgres_offline_store.postgres + :members: + :undoc-members: + :show-inheritance: + +feast.infra.offline\_stores.contrib.postgres\_offline\_store.postgres\_source module +------------------------------------------------------------------------------------ + +.. automodule:: feast.infra.offline_stores.contrib.postgres_offline_store.postgres_source + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: feast.infra.offline_stores.contrib.postgres_offline_store + :members: + :undoc-members: + :show-inheritance: diff --git a/sdk/python/docs/source/feast.infra.offline_stores.contrib.rst b/sdk/python/docs/source/feast.infra.offline_stores.contrib.rst index 4fabad68446..39902da1304 100644 --- a/sdk/python/docs/source/feast.infra.offline_stores.contrib.rst +++ b/sdk/python/docs/source/feast.infra.offline_stores.contrib.rst @@ -7,6 +7,7 @@ Subpackages .. toctree:: :maxdepth: 4 + feast.infra.offline_stores.contrib.postgres_offline_store feast.infra.offline_stores.contrib.spark_offline_store feast.infra.offline_stores.contrib.trino_offline_store @@ -21,6 +22,14 @@ feast.infra.offline\_stores.contrib.contrib\_repo\_configuration module :undoc-members: :show-inheritance: +feast.infra.offline\_stores.contrib.postgres\_repo\_configuration module +------------------------------------------------------------------------ + +.. automodule:: feast.infra.offline_stores.contrib.postgres_repo_configuration + :members: + :undoc-members: + :show-inheritance: + Module contents --------------- diff --git a/sdk/python/docs/source/feast.infra.online_stores.contrib.rst b/sdk/python/docs/source/feast.infra.online_stores.contrib.rst new file mode 100644 index 00000000000..6ee9b1a532d --- /dev/null +++ b/sdk/python/docs/source/feast.infra.online_stores.contrib.rst @@ -0,0 +1,21 @@ +feast.infra.online\_stores.contrib package +========================================== + +Submodules +---------- + +feast.infra.online\_stores.contrib.postgres module +-------------------------------------------------- + +.. automodule:: feast.infra.online_stores.contrib.postgres + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: feast.infra.online_stores.contrib + :members: + :undoc-members: + :show-inheritance: diff --git a/sdk/python/docs/source/feast.infra.online_stores.rst b/sdk/python/docs/source/feast.infra.online_stores.rst index 5c23796bf8a..842522c9d7c 100644 --- a/sdk/python/docs/source/feast.infra.online_stores.rst +++ b/sdk/python/docs/source/feast.infra.online_stores.rst @@ -1,6 +1,14 @@ feast.infra.online\_stores package ================================== +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + feast.infra.online_stores.contrib + Submodules ---------- diff --git a/sdk/python/docs/source/feast.infra.utils.postgres.rst b/sdk/python/docs/source/feast.infra.utils.postgres.rst new file mode 100644 index 00000000000..119c8c1dee9 --- /dev/null +++ b/sdk/python/docs/source/feast.infra.utils.postgres.rst @@ -0,0 +1,29 @@ +feast.infra.utils.postgres package +================================== + +Submodules +---------- + +feast.infra.utils.postgres.connection\_utils module +--------------------------------------------------- + +.. automodule:: feast.infra.utils.postgres.connection_utils + :members: + :undoc-members: + :show-inheritance: + +feast.infra.utils.postgres.postgres\_config module +-------------------------------------------------- + +.. automodule:: feast.infra.utils.postgres.postgres_config + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: feast.infra.utils.postgres + :members: + :undoc-members: + :show-inheritance: diff --git a/sdk/python/docs/source/feast.infra.utils.rst b/sdk/python/docs/source/feast.infra.utils.rst index 9655acc206d..30ec6166bf4 100644 --- a/sdk/python/docs/source/feast.infra.utils.rst +++ b/sdk/python/docs/source/feast.infra.utils.rst @@ -1,6 +1,14 @@ feast.infra.utils package ========================= +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + feast.infra.utils.postgres + Submodules ---------- diff --git a/sdk/python/docs/source/feast.rst b/sdk/python/docs/source/feast.rst index 35220913be4..fb1e77a3736 100644 --- a/sdk/python/docs/source/feast.rst +++ b/sdk/python/docs/source/feast.rst @@ -24,6 +24,14 @@ feast.base\_feature\_view module :undoc-members: :show-inheritance: +feast.batch\_feature\_view module +--------------------------------- + +.. automodule:: feast.batch_feature_view + :members: + :undoc-members: + :show-inheritance: + feast.cli module ---------------- @@ -264,6 +272,14 @@ feast.saved\_dataset module :undoc-members: :show-inheritance: +feast.stream\_feature\_view module +---------------------------------- + +.. automodule:: feast.stream_feature_view + :members: + :undoc-members: + :show-inheritance: + feast.transformation\_server module ----------------------------------- diff --git a/sdk/python/docs/source/index.rst b/sdk/python/docs/source/index.rst index 52783b40e3d..ca746707eac 100644 --- a/sdk/python/docs/source/index.rst +++ b/sdk/python/docs/source/index.rst @@ -59,6 +59,12 @@ Trino Source :members: :exclude-members: TrinoOptions +PostgreSQL Source +------------------ + +.. automodule:: feast.infra.offline_stores.contrib.postgres_offline_store.postgres_source + :members: + :exclude-members: PostgreSQLOptions File Source ------------------ @@ -192,6 +198,12 @@ Trino Offline Store .. automodule:: feast.infra.offline_stores.contrib.trino_offline_store.trino :members: +PostgreSQL Offline Store +------------------------ + +.. automodule:: feast.infra.offline_stores.contrib.postgres_offline_store.postgres + :members: + Online Store ================== @@ -223,4 +235,11 @@ Redis Online Store .. automodule:: feast.infra.online_stores.redis :members: - :noindex: \ No newline at end of file + :noindex: + +PostgreSQL Online Store +----------------------- + +.. automodule:: feast.infra.online_stores.contrib.postgres + :members: + :noindex: diff --git a/sdk/python/docs/source/modules.rst b/sdk/python/docs/source/modules.rst new file mode 100644 index 00000000000..3a6f8333abd --- /dev/null +++ b/sdk/python/docs/source/modules.rst @@ -0,0 +1,7 @@ +feast +===== + +.. toctree:: + :maxdepth: 4 + + feast diff --git a/sdk/python/feast/cli.py b/sdk/python/feast/cli.py index 80cd1844b61..ec5b6cd1b64 100644 --- a/sdk/python/feast/cli.py +++ b/sdk/python/feast/cli.py @@ -539,7 +539,7 @@ def materialize_incremental_command(ctx: click.Context, end_ts: str, views: List "--template", "-t", type=click.Choice( - ["local", "gcp", "aws", "snowflake", "spark"], case_sensitive=False + ["local", "gcp", "aws", "snowflake", "spark", "postgres"], case_sensitive=False ), help="Specify a template for the created project", default="local", diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/__init__.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py new file mode 100644 index 00000000000..5e99addcb46 --- /dev/null +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py @@ -0,0 +1,541 @@ +import contextlib +from dataclasses import asdict +from datetime import datetime +from typing import ( + Any, + Callable, + ContextManager, + Iterator, + KeysView, + List, + Optional, + Tuple, + Union, +) + +import pandas as pd +import pyarrow as pa +from jinja2 import BaseLoader, Environment +from psycopg2 import sql +from pydantic.typing import Literal +from pytz import utc + +from feast.data_source import DataSource +from feast.errors import InvalidEntityType +from feast.feature_view import DUMMY_ENTITY_ID, DUMMY_ENTITY_VAL, FeatureView +from feast.infra.offline_stores import offline_utils +from feast.infra.offline_stores.offline_store import ( + OfflineStore, + RetrievalJob, + RetrievalMetadata, +) +from feast.infra.utils.postgres.connection_utils import ( + _get_conn, + df_to_postgres_table, + get_query_schema, +) +from feast.infra.utils.postgres.postgres_config import PostgreSQLConfig +from feast.on_demand_feature_view import OnDemandFeatureView +from feast.registry import Registry +from feast.repo_config import RepoConfig +from feast.saved_dataset import SavedDatasetStorage +from feast.type_map import pg_type_code_to_arrow + +from .postgres_source import PostgreSQLSource + + +class PostgreSQLOfflineStoreConfig(PostgreSQLConfig): + type: Literal["postgres"] = "postgres" + + +class PostgreSQLOfflineStore(OfflineStore): + @staticmethod + def pull_latest_from_table_or_query( + config: RepoConfig, + data_source: DataSource, + join_key_columns: List[str], + feature_name_columns: List[str], + event_timestamp_column: str, + created_timestamp_column: Optional[str], + start_date: datetime, + end_date: datetime, + ) -> RetrievalJob: + assert isinstance(data_source, PostgreSQLSource) + from_expression = data_source.get_table_query_string() + + partition_by_join_key_string = ", ".join(_append_alias(join_key_columns, "a")) + if partition_by_join_key_string != "": + partition_by_join_key_string = ( + "PARTITION BY " + partition_by_join_key_string + ) + timestamps = [event_timestamp_column] + if created_timestamp_column: + timestamps.append(created_timestamp_column) + timestamp_desc_string = " DESC, ".join(_append_alias(timestamps, "a")) + " DESC" + a_field_string = ", ".join( + _append_alias(join_key_columns + feature_name_columns + timestamps, "a") + ) + b_field_string = ", ".join( + _append_alias(join_key_columns + feature_name_columns + timestamps, "b") + ) + + query = f""" + SELECT + {b_field_string} + {f", {repr(DUMMY_ENTITY_VAL)} AS {DUMMY_ENTITY_ID}" if not join_key_columns else ""} + FROM ( + SELECT {a_field_string}, + ROW_NUMBER() OVER({partition_by_join_key_string} ORDER BY {timestamp_desc_string}) AS _feast_row + FROM ({from_expression}) a + WHERE a."{event_timestamp_column}" BETWEEN '{start_date}'::timestamptz AND '{end_date}'::timestamptz + ) b + WHERE _feast_row = 1 + """ + + return PostgreSQLRetrievalJob( + query=query, + config=config, + full_feature_names=False, + on_demand_feature_views=None, + ) + + @staticmethod + def get_historical_features( + config: RepoConfig, + feature_views: List[FeatureView], + feature_refs: List[str], + entity_df: Union[pd.DataFrame, str], + registry: Registry, + project: str, + full_feature_names: bool = False, + ) -> RetrievalJob: + @contextlib.contextmanager + def query_generator() -> Iterator[str]: + table_name = None + if isinstance(entity_df, pd.DataFrame): + table_name = offline_utils.get_temp_entity_table_name() + entity_schema = df_to_postgres_table( + config.offline_store, entity_df, table_name + ) + df_query = table_name + elif isinstance(entity_df, str): + df_query = f"({entity_df}) AS sub" + entity_schema = get_query_schema(config.offline_store, df_query) + else: + raise TypeError(entity_df) + + entity_df_event_timestamp_col = offline_utils.infer_event_timestamp_from_entity_df( + entity_schema + ) + + expected_join_keys = offline_utils.get_expected_join_keys( + project, feature_views, registry + ) + + offline_utils.assert_expected_columns_in_entity_df( + entity_schema, expected_join_keys, entity_df_event_timestamp_col + ) + + entity_df_event_timestamp_range = _get_entity_df_event_timestamp_range( + entity_df, entity_df_event_timestamp_col, config, df_query, + ) + + query_context = offline_utils.get_feature_view_query_context( + feature_refs, + feature_views, + registry, + project, + entity_df_event_timestamp_range, + ) + + query_context_dict = [asdict(context) for context in query_context] + # Hack for query_context.entity_selections to support uppercase in columns + for context in query_context_dict: + context["entity_selections"] = [ + f'''"{entity_selection.replace(' AS ', '" AS "')}\"''' + for entity_selection in context["entity_selections"] + ] + + try: + yield build_point_in_time_query( + query_context_dict, + left_table_query_string=df_query, + entity_df_event_timestamp_col=entity_df_event_timestamp_col, + entity_df_columns=entity_schema.keys(), + query_template=MULTIPLE_FEATURE_VIEW_POINT_IN_TIME_JOIN, + full_feature_names=full_feature_names, + ) + finally: + if table_name: + with _get_conn(config.offline_store) as conn, conn.cursor() as cur: + cur.execute( + sql.SQL( + """ + DROP TABLE IF EXISTS {}; + """ + ).format(sql.Identifier(table_name)), + ) + + return PostgreSQLRetrievalJob( + query=query_generator, + config=config, + full_feature_names=full_feature_names, + on_demand_feature_views=OnDemandFeatureView.get_requested_odfvs( + feature_refs, project, registry + ), + ) + + @staticmethod + def pull_all_from_table_or_query( + config: RepoConfig, + data_source: DataSource, + join_key_columns: List[str], + feature_name_columns: List[str], + event_timestamp_column: str, + start_date: datetime, + end_date: datetime, + ) -> RetrievalJob: + assert isinstance(data_source, PostgreSQLSource) + from_expression = data_source.get_table_query_string() + + field_string = ", ".join( + join_key_columns + feature_name_columns + [event_timestamp_column] + ) + + start_date = start_date.astimezone(tz=utc) + end_date = end_date.astimezone(tz=utc) + + query = f""" + SELECT {field_string} + FROM {from_expression} + WHERE "{event_timestamp_column}" BETWEEN '{start_date}'::timestamptz AND '{end_date}'::timestamptz + """ + + return PostgreSQLRetrievalJob( + query=query, + config=config, + full_feature_names=False, + on_demand_feature_views=None, + ) + + +class PostgreSQLRetrievalJob(RetrievalJob): + def __init__( + self, + query: Union[str, Callable[[], ContextManager[str]]], + config: RepoConfig, + full_feature_names: bool, + on_demand_feature_views: Optional[List[OnDemandFeatureView]], + metadata: Optional[RetrievalMetadata] = None, + ): + if not isinstance(query, str): + self._query_generator = query + else: + + @contextlib.contextmanager + def query_generator() -> Iterator[str]: + assert isinstance(query, str) + yield query + + self._query_generator = query_generator + self.config = config + self._full_feature_names = full_feature_names + self._on_demand_feature_views = on_demand_feature_views + self._metadata = metadata + + @property + def full_feature_names(self) -> bool: + return self._full_feature_names + + @property + def on_demand_feature_views(self) -> Optional[List[OnDemandFeatureView]]: + return self._on_demand_feature_views + + def _to_df_internal(self) -> pd.DataFrame: + # We use arrow format because it gives better control of the table schema + return self._to_arrow_internal().to_pandas() + + def to_sql(self) -> str: + with self._query_generator() as query: + return query + + def _to_arrow_internal(self) -> pa.Table: + with self._query_generator() as query: + with _get_conn(self.config.offline_store) as conn, conn.cursor() as cur: + conn.set_session(readonly=True) + cur.execute(query) + fields = [ + (c.name, pg_type_code_to_arrow(c.type_code)) + for c in cur.description + ] + data = cur.fetchall() + schema = pa.schema(fields) + # TODO: Fix... + data_transposed: List[List[Any]] = [] + for col in range(len(fields)): + data_transposed.append([]) + for row in range(len(data)): + data_transposed[col].append(data[row][col]) + + table = pa.Table.from_arrays( + [pa.array(row) for row in data_transposed], schema=schema + ) + return table + + @property + def metadata(self) -> Optional[RetrievalMetadata]: + return self._metadata + + def persist(self, storage: SavedDatasetStorage): + pass + + +def _get_entity_df_event_timestamp_range( + entity_df: Union[pd.DataFrame, str], + entity_df_event_timestamp_col: str, + config: RepoConfig, + table_name: str, +) -> Tuple[datetime, datetime]: + if isinstance(entity_df, pd.DataFrame): + entity_df_event_timestamp = entity_df.loc[ + :, entity_df_event_timestamp_col + ].infer_objects() + if pd.api.types.is_string_dtype(entity_df_event_timestamp): + entity_df_event_timestamp = pd.to_datetime( + entity_df_event_timestamp, utc=True + ) + entity_df_event_timestamp_range = ( + entity_df_event_timestamp.min(), + entity_df_event_timestamp.max(), + ) + elif isinstance(entity_df, str): + # If the entity_df is a string (SQL query), determine range + # from table + with _get_conn(config.offline_store) as conn, conn.cursor() as cur: + cur.execute( + f"SELECT MIN({entity_df_event_timestamp_col}) AS min, MAX({entity_df_event_timestamp_col}) AS max FROM {table_name}" + ), + res = cur.fetchone() + entity_df_event_timestamp_range = (res[0], res[1]) + else: + raise InvalidEntityType(type(entity_df)) + + return entity_df_event_timestamp_range + + +def _append_alias(field_names: List[str], alias: str) -> List[str]: + return [f'{alias}."{field_name}"' for field_name in field_names] + + +def build_point_in_time_query( + feature_view_query_contexts: List[dict], + left_table_query_string: str, + entity_df_event_timestamp_col: str, + entity_df_columns: KeysView[str], + query_template: str, + full_feature_names: bool = False, +) -> str: + """Build point-in-time query between each feature view table and the entity dataframe for PostgreSQL""" + template = Environment(loader=BaseLoader()).from_string(source=query_template) + + final_output_feature_names = list(entity_df_columns) + final_output_feature_names.extend( + [ + ( + f'{fv["name"]}__{fv["field_mapping"].get(feature, feature)}' + if full_feature_names + else fv["field_mapping"].get(feature, feature) + ) + for fv in feature_view_query_contexts + for feature in fv["features"] + ] + ) + + # Add additional fields to dict + template_context = { + "left_table_query_string": left_table_query_string, + "entity_df_event_timestamp_col": entity_df_event_timestamp_col, + "unique_entity_keys": set( + [entity for fv in feature_view_query_contexts for entity in fv["entities"]] + ), + "featureviews": feature_view_query_contexts, + "full_feature_names": full_feature_names, + "final_output_feature_names": final_output_feature_names, + } + + query = template.render(template_context) + return query + + +# Copied from the Feast Redshift offline store implementation +# Note: Keep this in sync with sdk/python/feast/infra/offline_stores/redshift.py: +# MULTIPLE_FEATURE_VIEW_POINT_IN_TIME_JOIN +# https://github.com/feast-dev/feast/blob/master/sdk/python/feast/infra/offline_stores/redshift.py + +MULTIPLE_FEATURE_VIEW_POINT_IN_TIME_JOIN = """ +/* + Compute a deterministic hash for the `left_table_query_string` that will be used throughout + all the logic as the field to GROUP BY the data +*/ +WITH entity_dataframe AS ( + SELECT *, + {{entity_df_event_timestamp_col}} AS entity_timestamp + {% for featureview in featureviews %} + {% if featureview.entities %} + ,( + {% for entity in featureview.entities %} + CAST("{{entity}}" as VARCHAR) || + {% endfor %} + CAST("{{entity_df_event_timestamp_col}}" AS VARCHAR) + ) AS "{{featureview.name}}__entity_row_unique_id" + {% else %} + ,CAST("{{entity_df_event_timestamp_col}}" AS VARCHAR) AS "{{featureview.name}}__entity_row_unique_id" + {% endif %} + {% endfor %} + FROM {{ left_table_query_string }} +), + +{% for featureview in featureviews %} + +"{{ featureview.name }}__entity_dataframe" AS ( + SELECT + {% if featureview.entities %}"{{ featureview.entities | join('", "') }}",{% endif %} + entity_timestamp, + "{{featureview.name}}__entity_row_unique_id" + FROM entity_dataframe + GROUP BY + {% if featureview.entities %}"{{ featureview.entities | join('", "')}}",{% endif %} + entity_timestamp, + "{{featureview.name}}__entity_row_unique_id" +), + +/* + This query template performs the point-in-time correctness join for a single feature set table + to the provided entity table. + + 1. We first join the current feature_view to the entity dataframe that has been passed. + This JOIN has the following logic: + - For each row of the entity dataframe, only keep the rows where the `event_timestamp_column` + is less than the one provided in the entity dataframe + - If there a TTL for the current feature_view, also keep the rows where the `event_timestamp_column` + is higher the the one provided minus the TTL + - For each row, Join on the entity key and retrieve the `entity_row_unique_id` that has been + computed previously + + The output of this CTE will contain all the necessary information and already filtered out most + of the data that is not relevant. +*/ + +"{{ featureview.name }}__subquery" AS ( + SELECT + "{{ featureview.event_timestamp_column }}" as event_timestamp, + {{ '"' ~ featureview.created_timestamp_column ~ '" as created_timestamp,' if featureview.created_timestamp_column else '' }} + {{ featureview.entity_selections | join(', ')}}{% if featureview.entity_selections %},{% else %}{% endif %} + {% for feature in featureview.features %} + "{{ feature }}" as {% if full_feature_names %}"{{ featureview.name }}__{{featureview.field_mapping.get(feature, feature)}}"{% else %}"{{ featureview.field_mapping.get(feature, feature) }}"{% endif %}{% if loop.last %}{% else %}, {% endif %} + {% endfor %} + FROM {{ featureview.table_subquery }} AS sub + WHERE "{{ featureview.event_timestamp_column }}" <= (SELECT MAX(entity_timestamp) FROM entity_dataframe) + {% if featureview.ttl == 0 %}{% else %} + AND "{{ featureview.event_timestamp_column }}" >= (SELECT MIN(entity_timestamp) FROM entity_dataframe) - {{ featureview.ttl }} * interval '1' second + {% endif %} +), + +"{{ featureview.name }}__base" AS ( + SELECT + subquery.*, + entity_dataframe.entity_timestamp, + entity_dataframe."{{featureview.name}}__entity_row_unique_id" + FROM "{{ featureview.name }}__subquery" AS subquery + INNER JOIN "{{ featureview.name }}__entity_dataframe" AS entity_dataframe + ON TRUE + AND subquery.event_timestamp <= entity_dataframe.entity_timestamp + + {% if featureview.ttl == 0 %}{% else %} + AND subquery.event_timestamp >= entity_dataframe.entity_timestamp - {{ featureview.ttl }} * interval '1' second + {% endif %} + + {% for entity in featureview.entities %} + AND subquery."{{ entity }}" = entity_dataframe."{{ entity }}" + {% endfor %} +), + +/* + 2. If the `created_timestamp_column` has been set, we need to + deduplicate the data first. This is done by calculating the + `MAX(created_at_timestamp)` for each event_timestamp. + We then join the data on the next CTE +*/ +{% if featureview.created_timestamp_column %} +"{{ featureview.name }}__dedup" AS ( + SELECT + "{{featureview.name}}__entity_row_unique_id", + event_timestamp, + MAX(created_timestamp) as created_timestamp + FROM "{{ featureview.name }}__base" + GROUP BY "{{featureview.name}}__entity_row_unique_id", event_timestamp +), +{% endif %} + +/* + 3. The data has been filtered during the first CTE "*__base" + Thus we only need to compute the latest timestamp of each feature. +*/ +"{{ featureview.name }}__latest" AS ( + SELECT + event_timestamp, + {% if featureview.created_timestamp_column %}created_timestamp,{% endif %} + "{{featureview.name}}__entity_row_unique_id" + FROM + ( + SELECT *, + ROW_NUMBER() OVER( + PARTITION BY "{{featureview.name}}__entity_row_unique_id" + ORDER BY event_timestamp DESC{% if featureview.created_timestamp_column %},created_timestamp DESC{% endif %} + ) AS row_number + FROM "{{ featureview.name }}__base" + {% if featureview.created_timestamp_column %} + INNER JOIN "{{ featureview.name }}__dedup" + USING ("{{featureview.name}}__entity_row_unique_id", event_timestamp, created_timestamp) + {% endif %} + ) AS sub + WHERE row_number = 1 +), + +/* + 4. Once we know the latest value of each feature for a given timestamp, + we can join again the data back to the original "base" dataset +*/ +"{{ featureview.name }}__cleaned" AS ( + SELECT base.* + FROM "{{ featureview.name }}__base" as base + INNER JOIN "{{ featureview.name }}__latest" + USING( + "{{featureview.name}}__entity_row_unique_id", + event_timestamp + {% if featureview.created_timestamp_column %} + ,created_timestamp + {% endif %} + ) +){% if loop.last %}{% else %}, {% endif %} + + +{% endfor %} +/* + Joins the outputs of multiple time travel joins to a single table. + The entity_dataframe dataset being our source of truth here. + */ + +SELECT "{{ final_output_feature_names | join('", "')}}" +FROM entity_dataframe +{% for featureview in featureviews %} +LEFT JOIN ( + SELECT + "{{featureview.name}}__entity_row_unique_id" + {% for feature in featureview.features %} + ,"{% if full_feature_names %}{{ featureview.name }}__{{featureview.field_mapping.get(feature, feature)}}{% else %}{{ featureview.field_mapping.get(feature, feature) }}{% endif %}" + {% endfor %} + FROM "{{ featureview.name }}__cleaned" +) AS "{{featureview.name}}" USING ("{{featureview.name}}__entity_row_unique_id") +{% endfor %} +""" diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres_source.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres_source.py new file mode 100644 index 00000000000..c76bd7d2f9d --- /dev/null +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres_source.py @@ -0,0 +1,117 @@ +import json +from typing import Callable, Dict, Iterable, Optional, Tuple + +from feast.data_source import DataSource +from feast.infra.utils.postgres.connection_utils import _get_conn +from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto +from feast.repo_config import RepoConfig +from feast.type_map import pg_type_code_to_pg_type, pg_type_to_feast_value_type +from feast.value_type import ValueType + + +class PostgreSQLSource(DataSource): + def __init__( + self, + name: str, + query: str, + timestamp_field: Optional[str] = "", + created_timestamp_column: Optional[str] = "", + field_mapping: Optional[Dict[str, str]] = None, + date_partition_column: Optional[str] = "", + ): + self._postgres_options = PostgreSQLOptions(name=name, query=query) + + super().__init__( + name=name, + timestamp_field=timestamp_field, + created_timestamp_column=created_timestamp_column, + field_mapping=field_mapping, + date_partition_column=date_partition_column, + ) + + def __hash__(self): + return super().__hash__() + + def __eq__(self, other): + if not isinstance(other, PostgreSQLSource): + raise TypeError( + "Comparisons should only involve PostgreSQLSource class objects." + ) + + return ( + self._postgres_options._query == other._postgres_options._query + and self.timestamp_field == other.timestamp_field + and self.created_timestamp_column == other.created_timestamp_column + and self.field_mapping == other.field_mapping + ) + + @staticmethod + def from_proto(data_source: DataSourceProto): + assert data_source.HasField("custom_options") + + postgres_options = json.loads(data_source.custom_options.configuration) + return PostgreSQLSource( + name=postgres_options["name"], + query=postgres_options["query"], + field_mapping=dict(data_source.field_mapping), + timestamp_field=data_source.timestamp_field, + created_timestamp_column=data_source.created_timestamp_column, + date_partition_column=data_source.date_partition_column, + ) + + def to_proto(self) -> DataSourceProto: + data_source_proto = DataSourceProto( + type=DataSourceProto.CUSTOM_SOURCE, + data_source_class_type="feast.infra.offline_stores.contrib.postgres_offline_store.postgres_source.PostgreSQLSource", + field_mapping=self.field_mapping, + custom_options=self._postgres_options.to_proto(), + ) + + data_source_proto.timestamp_field = self.timestamp_field + data_source_proto.created_timestamp_column = self.created_timestamp_column + data_source_proto.date_partition_column = self.date_partition_column + + return data_source_proto + + def validate(self, config: RepoConfig): + pass + + @staticmethod + def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]: + return pg_type_to_feast_value_type + + def get_table_column_names_and_types( + self, config: RepoConfig + ) -> Iterable[Tuple[str, str]]: + with _get_conn(config.offline_store) as conn, conn.cursor() as cur: + cur.execute( + f"SELECT * FROM ({self.get_table_query_string()}) AS sub LIMIT 0" + ) + return ( + (c.name, pg_type_code_to_pg_type(c.type_code)) for c in cur.description + ) + + def get_table_query_string(self) -> str: + return f"({self._postgres_options._query})" + + +class PostgreSQLOptions: + def __init__(self, name: str, query: Optional[str]): + self._name = name + self._query = query + + @classmethod + def from_proto(cls, postgres_options_proto: DataSourceProto.CustomSourceOptions): + config = json.loads(postgres_options_proto.configuration.decode("utf8")) + postgres_options = cls(name=config["name"], query=config["query"]) + + return postgres_options + + def to_proto(self) -> DataSourceProto.CustomSourceOptions: + postgres_options_proto = DataSourceProto.CustomSourceOptions( + configuration=json.dumps( + {"name": self._name, "query": self._query} + ).encode() + ) + + return postgres_options_proto diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py new file mode 100644 index 00000000000..91ab6868959 --- /dev/null +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py @@ -0,0 +1,24 @@ +from tests.integration.feature_repos.integration_test_repo_config import ( + IntegrationTestRepoConfig, +) +from tests.integration.feature_repos.universal.data_sources.postgres import ( + PostgreSQLDataSourceCreator, +) + +POSTGRES_ONLINE_CONFIG = { + "type": "postgres", + "host": "localhost", + "port": "5432", + "database": "postgres", + "db_schema": "feature_store", + "user": "postgres", + "password": "docker", +} + +FULL_REPO_CONFIGS = [ + IntegrationTestRepoConfig( + provider="local", + offline_store_creator=PostgreSQLDataSourceCreator, + online_store=POSTGRES_ONLINE_CONFIG, + ), +] diff --git a/sdk/python/feast/infra/online_stores/contrib/__init__.py b/sdk/python/feast/infra/online_stores/contrib/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/sdk/python/feast/infra/online_stores/contrib/postgres.py b/sdk/python/feast/infra/online_stores/contrib/postgres.py new file mode 100644 index 00000000000..65b904c97b1 --- /dev/null +++ b/sdk/python/feast/infra/online_stores/contrib/postgres.py @@ -0,0 +1,234 @@ +import logging +from collections import defaultdict +from datetime import datetime +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple + +import psycopg2 +import pytz +from psycopg2 import sql +from psycopg2.extras import execute_values +from pydantic.schema import Literal + +from feast import Entity +from feast.feature_view import FeatureView +from feast.infra.key_encoding_utils import serialize_entity_key +from feast.infra.online_stores.online_store import OnlineStore +from feast.infra.utils.postgres.connection_utils import _get_conn +from feast.infra.utils.postgres.postgres_config import PostgreSQLConfig +from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto +from feast.protos.feast.types.Value_pb2 import Value as ValueProto +from feast.repo_config import RepoConfig + + +class PostgreSQLOnlineStoreConfig(PostgreSQLConfig): + type: Literal["postgres"] = "postgres" + + +class PostgreSQLOnlineStore(OnlineStore): + _conn: Optional[psycopg2._psycopg.connection] = None + + def _get_conn(self, config: RepoConfig): + if not self._conn: + assert config.online_store.type == "postgres" + self._conn = _get_conn(config.online_store) + return self._conn + + def online_write_batch( + self, + config: RepoConfig, + table: FeatureView, + data: List[ + Tuple[EntityKeyProto, Dict[str, ValueProto], datetime, Optional[datetime]] + ], + progress: Optional[Callable[[int], Any]], + ) -> None: + project = config.project + + with self._get_conn(config) as conn, conn.cursor() as cur: + insert_values = [] + for entity_key, values, timestamp, created_ts in data: + entity_key_bin = serialize_entity_key(entity_key) + timestamp = _to_naive_utc(timestamp) + if created_ts is not None: + created_ts = _to_naive_utc(created_ts) + + for feature_name, val in values.items(): + insert_values.append( + ( + entity_key_bin, + feature_name, + val.SerializeToString(), + timestamp, + created_ts, + ) + ) + # Controll the batch so that we can update the progress + batch_size = 5000 + for i in range(0, len(insert_values), batch_size): + cur_batch = insert_values[i : i + batch_size] + execute_values( + cur, + sql.SQL( + """ + INSERT INTO {} + (entity_key, feature_name, value, event_ts, created_ts) + VALUES %s + ON CONFLICT (entity_key, feature_name) DO + UPDATE SET + value = EXCLUDED.value, + event_ts = EXCLUDED.event_ts, + created_ts = EXCLUDED.created_ts; + """, + ).format(sql.Identifier(_table_id(project, table))), + cur_batch, + page_size=batch_size, + ) + if progress: + progress(len(cur_batch)) + + def online_read( + self, + config: RepoConfig, + table: FeatureView, + entity_keys: List[EntityKeyProto], + requested_features: Optional[List[str]] = None, + ) -> List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]]: + result: List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]] = [] + + project = config.project + with self._get_conn(config) as conn, conn.cursor() as cur: + # Collecting all the keys to a list allows us to make fewer round trips + # to PostgreSQL + keys = [] + for entity_key in entity_keys: + keys.append(serialize_entity_key(entity_key)) + + cur.execute( + sql.SQL( + """ + SELECT entity_key, feature_name, value, event_ts + FROM {} WHERE entity_key = ANY(%s); + """ + ).format(sql.Identifier(_table_id(project, table)),), + (keys,), + ) + + rows = cur.fetchall() + + # Since we don't know the order returned from PostgreSQL we'll need + # to construct a dict to be able to quickly look up the correct row + # when we iterate through the keys since they are in the correct order + values_dict = defaultdict(list) + for row in rows if rows is not None else []: + values_dict[row[0].tobytes()].append(row[1:]) + + for key in keys: + if key in values_dict: + value = values_dict[key] + res = {} + for feature_name, value_bin, event_ts in value: + val = ValueProto() + val.ParseFromString(value_bin) + res[feature_name] = val + result.append((event_ts, res)) + else: + result.append((None, None)) + + return result + + def update( + self, + config: RepoConfig, + tables_to_delete: Sequence[FeatureView], + tables_to_keep: Sequence[FeatureView], + entities_to_delete: Sequence[Entity], + entities_to_keep: Sequence[Entity], + partial: bool, + ): + project = config.project + schema_name = config.online_store.db_schema or config.online_store.user + with self._get_conn(config) as conn, conn.cursor() as cur: + # If a db_schema is provided, then that schema gets created if it doesn't + # exist. Else a schema is created for the feature store user. + + cur.execute( + """ + SELECT schema_name + FROM information_schema.schemata + WHERE schema_name = %s + """, + (schema_name,), + ) + schema_exists = cur.fetchone() + if not schema_exists: + cur.execute( + sql.SQL("CREATE SCHEMA IF NOT EXISTS {} AUTHORIZATION {}").format( + sql.Identifier(schema_name), + sql.Identifier(config.online_store.user), + ), + ) + + for table in tables_to_delete: + table_name = _table_id(project, table) + cur.execute(_drop_table_and_index(table_name)) + + for table in tables_to_keep: + table_name = _table_id(project, table) + cur.execute( + sql.SQL( + """ + CREATE TABLE IF NOT EXISTS {} + ( + entity_key BYTEA, + feature_name TEXT, + value BYTEA, + event_ts TIMESTAMPTZ, + created_ts TIMESTAMPTZ, + PRIMARY KEY(entity_key, feature_name) + ); + CREATE INDEX IF NOT EXISTS {} ON {} (entity_key); + """ + ).format( + sql.Identifier(table_name), + sql.Identifier(f"{table_name}_ek"), + sql.Identifier(table_name), + ) + ) + + conn.commit() + + def teardown( + self, + config: RepoConfig, + tables: Sequence[FeatureView], + entities: Sequence[Entity], + ): + project = config.project + try: + with self._get_conn(config) as conn, conn.cursor() as cur: + for table in tables: + table_name = _table_id(project, table) + cur.execute(_drop_table_and_index(table_name)) + except Exception: + logging.exception("Teardown failed") + raise + + +def _table_id(project: str, table: FeatureView) -> str: + return f"{project}_{table.name}" + + +def _drop_table_and_index(table_name): + return sql.SQL( + """ + DROP TABLE IF EXISTS {}; + DROP INDEX IF EXISTS {}; + """ + ).format(sql.Identifier(table_name), sql.Identifier(f"{table_name}_ek"),) + + +def _to_naive_utc(ts: datetime): + if ts.tzinfo is None: + return ts + else: + return ts.astimezone(pytz.utc).replace(tzinfo=None) diff --git a/sdk/python/feast/infra/registry_stores/contrib/postgres/registry_store.py b/sdk/python/feast/infra/registry_stores/contrib/postgres/registry_store.py new file mode 100644 index 00000000000..6b0ae1910dd --- /dev/null +++ b/sdk/python/feast/infra/registry_stores/contrib/postgres/registry_store.py @@ -0,0 +1,112 @@ +import psycopg2 +from psycopg2 import sql + +from feast.infra.utils.postgres.connection_utils import _get_conn +from feast.infra.utils.postgres.postgres_config import PostgreSQLConfig +from feast.protos.feast.core.Registry_pb2 import Registry as RegistryProto +from feast.registry_store import RegistryStore +from feast.repo_config import RegistryConfig + + +class PostgresRegistryConfig(RegistryConfig): + host: str + port: int + database: str + db_schema: str + user: str + password: str + + +class PostgreSQLRegistryStore(RegistryStore): + def __init__(self, config: PostgresRegistryConfig, registry_path: str): + self.db_config = PostgreSQLConfig( + host=config.host, + port=config.port, + database=config.database, + db_schema=config.db_schema, + user=config.user, + password=config.password, + ) + self.table_name = config.path + self.cache_ttl_seconds = config.cache_ttl_seconds + + def get_registry_proto(self) -> RegistryProto: + registry_proto = RegistryProto() + try: + with _get_conn(self.db_config) as conn, conn.cursor() as cur: + cur.execute( + sql.SQL( + """ + SELECT registry + FROM {} + WHERE version = (SELECT max(version) FROM {}) + """ + ).format( + sql.Identifier(self.table_name), + sql.Identifier(self.table_name), + ) + ) + row = cur.fetchone() + if row: + registry_proto = registry_proto.FromString(row[0]) + except psycopg2.errors.UndefinedTable: + pass + return registry_proto + + def update_registry_proto(self, registry_proto: RegistryProto): + """ + Overwrites the current registry proto with the proto passed in. This method + writes to the registry path. + + Args: + registry_proto: the new RegistryProto + """ + schema_name = self.db_config.db_schema or self.db_config.user + with _get_conn(self.db_config) as conn, conn.cursor() as cur: + cur.execute( + """ + SELECT schema_name + FROM information_schema.schemata + WHERE schema_name = %s + """, + (schema_name,), + ) + schema_exists = cur.fetchone() + if not schema_exists: + cur.execute( + sql.SQL("CREATE SCHEMA IF NOT EXISTS {} AUTHORIZATION {}").format( + sql.Identifier(schema_name), + sql.Identifier(self.db_config.user), + ), + ) + + cur.execute( + sql.SQL( + """ + CREATE TABLE IF NOT EXISTS {} ( + version BIGSERIAL PRIMARY KEY, + registry BYTEA NOT NULL + ); + """ + ).format(sql.Identifier(self.table_name)), + ) + # Do we want to keep track of the history or just keep the latest? + cur.execute( + sql.SQL( + """ + INSERT INTO {} (registry) + VALUES (%s); + """ + ).format(sql.Identifier(self.table_name)), + [registry_proto.SerializeToString()], + ) + + def teardown(self): + with _get_conn(self.db_config) as conn, conn.cursor() as cur: + cur.execute( + sql.SQL( + """ + DROP TABLE IF EXISTS {}; + """ + ).format(sql.Identifier(self.table_name)) + ) diff --git a/sdk/python/feast/infra/utils/postgres/__init__.py b/sdk/python/feast/infra/utils/postgres/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/sdk/python/feast/infra/utils/postgres/connection_utils.py b/sdk/python/feast/infra/utils/postgres/connection_utils.py new file mode 100644 index 00000000000..c3a7c913d4c --- /dev/null +++ b/sdk/python/feast/infra/utils/postgres/connection_utils.py @@ -0,0 +1,64 @@ +from typing import Dict + +import numpy as np +import pandas as pd +import psycopg2 +import psycopg2.extras +import pyarrow as pa + +from feast.infra.utils.postgres.postgres_config import PostgreSQLConfig +from feast.type_map import arrow_to_pg_type + + +def _get_conn(config: PostgreSQLConfig): + conn = psycopg2.connect( + dbname=config.database, + host=config.host, + port=int(config.port), + user=config.user, + password=config.password, + options="-c search_path={}".format(config.db_schema or config.user), + ) + return conn + + +def _df_to_create_table_sql(entity_df, table_name) -> str: + pa_table = pa.Table.from_pandas(entity_df) + columns = [ + f""""{f.name}" {arrow_to_pg_type(str(f.type))}""" for f in pa_table.schema + ] + return f""" + CREATE TABLE "{table_name}" ( + {", ".join(columns)} + ); + """ + + +def df_to_postgres_table( + config: PostgreSQLConfig, df: pd.DataFrame, table_name: str +) -> Dict[str, np.dtype]: + """ + Create a table for the data frame, insert all the values, and return the table schema + """ + with _get_conn(config) as conn, conn.cursor() as cur: + cur.execute(_df_to_create_table_sql(df, table_name)) + psycopg2.extras.execute_values( + cur, + f""" + INSERT INTO {table_name} + VALUES %s + """, + df.replace({np.NaN: None}).to_numpy(), + ) + return dict(zip(df.columns, df.dtypes)) + + +def get_query_schema(config: PostgreSQLConfig, sql_query: str) -> Dict[str, np.dtype]: + """ + We'll use the statement when we perform the query rather than copying data to a + new table + """ + with _get_conn(config) as conn: + conn.set_session(readonly=True) + df = pd.read_sql(f"SELECT * FROM {sql_query} LIMIT 0", conn,) + return dict(zip(df.columns, df.dtypes)) diff --git a/sdk/python/feast/infra/utils/postgres/postgres_config.py b/sdk/python/feast/infra/utils/postgres/postgres_config.py new file mode 100644 index 00000000000..c7a581f0722 --- /dev/null +++ b/sdk/python/feast/infra/utils/postgres/postgres_config.py @@ -0,0 +1,12 @@ +from pydantic import StrictStr + +from feast.repo_config import FeastConfigBaseModel + + +class PostgreSQLConfig(FeastConfigBaseModel): + host: StrictStr + port: int = 5432 + database: StrictStr + db_schema: StrictStr = "public" + user: StrictStr + password: StrictStr diff --git a/sdk/python/feast/registry.py b/sdk/python/feast/registry.py index 5f5d27318a9..be009566d05 100644 --- a/sdk/python/feast/registry.py +++ b/sdk/python/feast/registry.py @@ -58,6 +58,7 @@ "GCSRegistryStore": "feast.infra.gcp.GCSRegistryStore", "S3RegistryStore": "feast.infra.aws.S3RegistryStore", "LocalRegistryStore": "feast.infra.local.LocalRegistryStore", + "PostgreSQLRegistryStore": "feast.infra.registry_stores.contrib.postgres.registry_store.PostgreSQLRegistryStore", } REGISTRY_STORE_CLASS_FOR_SCHEME = { diff --git a/sdk/python/feast/repo_config.py b/sdk/python/feast/repo_config.py index c86a42a8bd8..5ea7a8979f9 100644 --- a/sdk/python/feast/repo_config.py +++ b/sdk/python/feast/repo_config.py @@ -35,6 +35,7 @@ "redis": "feast.infra.online_stores.redis.RedisOnlineStore", "dynamodb": "feast.infra.online_stores.dynamodb.DynamoDBOnlineStore", "snowflake.online": "feast.infra.online_stores.snowflake.SnowflakeOnlineStore", + "postgres": "feast.infra.online_stores.contrib.postgres.PostgreSQLOnlineStore", } OFFLINE_STORE_CLASS_FOR_TYPE = { @@ -44,6 +45,7 @@ "snowflake.offline": "feast.infra.offline_stores.snowflake.SnowflakeOfflineStore", "spark": "feast.infra.offline_stores.contrib.spark_offline_store.spark.SparkOfflineStore", "trino": "feast.infra.offline_stores.contrib.trino_offline_store.trino.TrinoOfflineStore", + "postgres": "feast.infra.offline_stores.contrib.postgres_offline_store.postgres.PostgreSQLOfflineStore", } FEATURE_SERVER_CONFIG_CLASS_FOR_TYPE = { diff --git a/sdk/python/feast/templates/postgres/__init__.py b/sdk/python/feast/templates/postgres/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/sdk/python/feast/templates/postgres/bootstrap.py b/sdk/python/feast/templates/postgres/bootstrap.py new file mode 100644 index 00000000000..078d7cdc689 --- /dev/null +++ b/sdk/python/feast/templates/postgres/bootstrap.py @@ -0,0 +1,78 @@ +import click +import psycopg2 + +from feast.infra.utils.postgres.connection_utils import df_to_postgres_table +from feast.infra.utils.postgres.postgres_config import PostgreSQLConfig + + +def bootstrap(): + # Bootstrap() will automatically be called from the init_repo() during `feast init` + + import pathlib + from datetime import datetime, timedelta + + from feast.driver_test_data import create_driver_hourly_stats_df + + repo_path = pathlib.Path(__file__).parent.absolute() + config_file = repo_path / "feature_store.yaml" + + end_date = datetime.now().replace(microsecond=0, second=0, minute=0) + start_date = end_date - timedelta(days=15) + + driver_entities = [1001, 1002, 1003, 1004, 1005] + driver_df = create_driver_hourly_stats_df(driver_entities, start_date, end_date) + + postgres_host = click.prompt("Postgres host", default="localhost") + postgres_port = click.prompt("Postgres port", default="5432") + postgres_database = click.prompt("Postgres DB name", default="postgres") + postgres_schema = click.prompt("Postgres schema", default="public") + postgres_user = click.prompt("Postgres user") + postgres_password = click.prompt("Postgres password", hide_input=True) + + if click.confirm( + 'Should I upload example data to Postgres (overwriting "feast_driver_hourly_stats" table)?', + default=True, + ): + db_connection = psycopg2.connect( + dbname=postgres_database, + host=postgres_host, + port=int(postgres_port), + user=postgres_user, + password=postgres_password, + options=f"-c search_path={postgres_schema}", + ) + + with db_connection as conn, conn.cursor() as cur: + cur.execute('DROP TABLE IF EXISTS "feast_driver_hourly_stats"') + + df_to_postgres_table( + config=PostgreSQLConfig( + host=postgres_host, + port=int(postgres_port), + database=postgres_database, + db_schema=postgres_schema, + user=postgres_user, + password=postgres_password, + ), + df=driver_df, + table_name="feast_driver_hourly_stats", + ) + + replace_str_in_file(config_file, "DB_HOST", postgres_host) + replace_str_in_file(config_file, "DB_PORT", postgres_port) + replace_str_in_file(config_file, "DB_NAME", postgres_database) + replace_str_in_file(config_file, "DB_SCHEMA", postgres_schema) + replace_str_in_file(config_file, "DB_USERNAME", postgres_user) + replace_str_in_file(config_file, "DB_PASSWORD", postgres_password) + + +def replace_str_in_file(file_path, match_str, sub_str): + with open(file_path, "r") as f: + contents = f.read() + contents = contents.replace(match_str, sub_str) + with open(file_path, "wt") as f: + f.write(contents) + + +if __name__ == "__main__": + bootstrap() diff --git a/sdk/python/feast/templates/postgres/driver_repo.py b/sdk/python/feast/templates/postgres/driver_repo.py new file mode 100644 index 00000000000..34bc0022e23 --- /dev/null +++ b/sdk/python/feast/templates/postgres/driver_repo.py @@ -0,0 +1,29 @@ +from datetime import timedelta + +from feast import Entity, FeatureView, Field +from feast.infra.offline_stores.contrib.postgres_offline_store.postgres_source import ( + PostgreSQLSource, +) +from feast.types import Float32, Int64 + +driver = Entity(name="driver_id", join_keys=["driver_id"],) + + +driver_stats_source = PostgreSQLSource( + name="feast_driver_hourly_stats", + query="SELECT * FROM feast_driver_hourly_stats", + timestamp_field="event_timestamp", + created_timestamp_column="created", +) + +driver_stats_fv = FeatureView( + name="driver_hourly_stats", + entities=["driver_id"], + ttl=timedelta(weeks=52), + schema=[ + Field(name="conv_rate", dtype=Float32), + Field(name="acc_rate", dtype=Float32), + Field(name="avg_daily_trips", dtype=Int64), + ], + source=driver_stats_source, +) diff --git a/sdk/python/feast/templates/postgres/feature_store.yaml b/sdk/python/feast/templates/postgres/feature_store.yaml new file mode 100644 index 00000000000..53b86b70641 --- /dev/null +++ b/sdk/python/feast/templates/postgres/feature_store.yaml @@ -0,0 +1,27 @@ +project: my_project +provider: local +registry: + registry_store_type: PostgreSQLRegistryStore + path: feast_registry + host: DB_HOST + port: DB_PORT + database: DB_NAME + db_schema: DB_SCHEMA + user: DB_USERNAME + password: DB_PASSWORD +online_store: + type: postgres + host: DB_HOST + port: DB_PORT + database: DB_NAME + db_schema: DB_SCHEMA + user: DB_USERNAME + password: DB_PASSWORD +offline_store: + type: postgres + host: DB_HOST + port: DB_PORT + database: DB_NAME + db_schema: DB_SCHEMA + user: DB_USERNAME + password: DB_PASSWORD diff --git a/sdk/python/feast/templates/postgres/test.py b/sdk/python/feast/templates/postgres/test.py new file mode 100644 index 00000000000..81ac2996985 --- /dev/null +++ b/sdk/python/feast/templates/postgres/test.py @@ -0,0 +1,63 @@ +from datetime import datetime, timedelta + +import pandas as pd +from driver_repo import driver, driver_stats_fv + +from feast import FeatureStore + + +def main(): + pd.set_option("display.max_columns", None) + pd.set_option("display.width", 1000) + + # Load the feature store from the current path + fs = FeatureStore(repo_path=".") + + print("Deploying feature store to Postgres...") + fs.apply([driver, driver_stats_fv]) + + # Select features + features = ["driver_hourly_stats:conv_rate", "driver_hourly_stats:acc_rate"] + + # Create an entity dataframe. This is the dataframe that will be enriched with historical features + entity_df = pd.DataFrame( + { + "event_timestamp": [ + pd.Timestamp(dt, unit="ms", tz="UTC").round("ms") + for dt in pd.date_range( + start=datetime.now() - timedelta(days=3), + end=datetime.now(), + periods=3, + ) + ], + "driver_id": [1001, 1002, 1003], + } + ) + + print("Retrieving training data...") + + training_df = fs.get_historical_features( + features=features, entity_df=entity_df + ).to_df() + + print() + print(training_df) + + print() + print("Loading features into the online store...") + fs.materialize_incremental(end_date=datetime.now()) + + print() + print("Retrieving online features...") + + # Retrieve features from the online store + online_features = fs.get_online_features( + features=features, entity_rows=[{"driver_id": 1001}, {"driver_id": 1002}], + ).to_dict() + + print() + print(pd.DataFrame.from_dict(online_features)) + + +if __name__ == "__main__": + main() diff --git a/sdk/python/feast/type_map.py b/sdk/python/feast/type_map.py index a94d8aa59ba..d22c51d5963 100644 --- a/sdk/python/feast/type_map.py +++ b/sdk/python/feast/type_map.py @@ -639,3 +639,143 @@ def spark_schema_to_np_dtypes(dtypes: List[Tuple[str, str]]) -> Iterator[np.dtyp ) return (type_map[t] for _, t in dtypes) + + +def arrow_to_pg_type(t_str: str) -> str: + try: + if t_str.startswith("timestamp") or t_str.startswith("datetime"): + return "timestamptz" if "tz=" in t_str else "timestamp" + return { + "null": "null", + "bool": "boolean", + "int8": "tinyint", + "int16": "smallint", + "int32": "int", + "int64": "bigint", + "list": "int[]", + "list": "bigint[]", + "list": "boolean[]", + "list": "double precision[]", + "list": "timestamp[]", + "uint8": "smallint", + "uint16": "int", + "uint32": "bigint", + "uint64": "bigint", + "float": "float", + "double": "double precision", + "binary": "binary", + "string": "text", + }[t_str] + except KeyError: + raise ValueError(f"Unsupported type: {t_str}") + + +def pg_type_to_feast_value_type(type_str: str) -> ValueType: + type_map: Dict[str, ValueType] = { + "boolean": ValueType.BOOL, + "bytea": ValueType.BYTES, + "char": ValueType.STRING, + "bigint": ValueType.INT64, + "smallint": ValueType.INT32, + "integer": ValueType.INT32, + "real": ValueType.DOUBLE, + "double precision": ValueType.DOUBLE, + "boolean[]": ValueType.BOOL_LIST, + "bytea[]": ValueType.BYTES_LIST, + "char[]": ValueType.STRING_LIST, + "smallint[]": ValueType.INT32_LIST, + "integer[]": ValueType.INT32_LIST, + "text": ValueType.STRING, + "text[]": ValueType.STRING_LIST, + "character[]": ValueType.STRING_LIST, + "bigint[]": ValueType.INT64_LIST, + "real[]": ValueType.DOUBLE_LIST, + "double precision[]": ValueType.DOUBLE_LIST, + "character": ValueType.STRING, + "character varying": ValueType.STRING, + "date": ValueType.UNIX_TIMESTAMP, + "time without time zone": ValueType.UNIX_TIMESTAMP, + "timestamp without time zone": ValueType.UNIX_TIMESTAMP, + "timestamp without time zone[]": ValueType.UNIX_TIMESTAMP_LIST, + "date[]": ValueType.UNIX_TIMESTAMP_LIST, + "time without time zone[]": ValueType.UNIX_TIMESTAMP_LIST, + "timestamp with time zone": ValueType.UNIX_TIMESTAMP, + "timestamp with time zone[]": ValueType.UNIX_TIMESTAMP_LIST, + "numeric[]": ValueType.DOUBLE_LIST, + "numeric": ValueType.DOUBLE, + "uuid": ValueType.STRING, + "uuid[]": ValueType.STRING_LIST, + } + value = ( + type_map[type_str.lower()] + if type_str.lower() in type_map + else ValueType.UNKNOWN + ) + if value == ValueType.UNKNOWN: + print("unknown type:", type_str) + return value + + +def feast_value_type_to_pa(feast_type: ValueType) -> pyarrow.DataType: + type_map = { + ValueType.INT32: pyarrow.int32(), + ValueType.INT64: pyarrow.int64(), + ValueType.DOUBLE: pyarrow.float64(), + ValueType.FLOAT: pyarrow.float32(), + ValueType.STRING: pyarrow.string(), + ValueType.BYTES: pyarrow.binary(), + ValueType.BOOL: pyarrow.bool_(), + ValueType.UNIX_TIMESTAMP: pyarrow.timestamp("us"), + ValueType.INT32_LIST: pyarrow.list_(pyarrow.int32()), + ValueType.INT64_LIST: pyarrow.list_(pyarrow.int64()), + ValueType.DOUBLE_LIST: pyarrow.list_(pyarrow.float64()), + ValueType.FLOAT_LIST: pyarrow.list_(pyarrow.float32()), + ValueType.STRING_LIST: pyarrow.list_(pyarrow.string()), + ValueType.BYTES_LIST: pyarrow.list_(pyarrow.binary()), + ValueType.BOOL_LIST: pyarrow.list_(pyarrow.bool_()), + ValueType.UNIX_TIMESTAMP_LIST: pyarrow.list_(pyarrow.timestamp("us")), + ValueType.NULL: pyarrow.null(), + } + return type_map[feast_type] + + +def pg_type_code_to_pg_type(code: int) -> str: + return { + 16: "boolean", + 17: "bytea", + 20: "bigint", + 21: "smallint", + 23: "integer", + 25: "text", + 700: "real", + 701: "double precision", + 1000: "boolean[]", + 1001: "bytea[]", + 1005: "smallint[]", + 1007: "integer[]", + 1009: "text[]", + 1014: "character[]", + 1016: "bigint[]", + 1021: "real[]", + 1022: "double precision[]", + 1042: "character", + 1043: "character varying", + 1082: "date", + 1083: "time without time zone", + 1114: "timestamp without time zone", + 1115: "timestamp without time zone[]", + 1182: "date[]", + 1183: "time without time zone[]", + 1184: "timestamp with time zone", + 1185: "timestamp with time zone[]", + 1231: "numeric[]", + 1700: "numeric", + 2950: "uuid", + 2951: "uuid[]", + }[code] + + +def pg_type_code_to_arrow(code: int) -> str: + return feast_value_type_to_pa( + pg_type_to_feast_value_type(pg_type_code_to_pg_type(code)) + ) diff --git a/sdk/python/requirements/py3.10-ci-requirements.txt b/sdk/python/requirements/py3.10-ci-requirements.txt index 346aa6da47e..597ef0397f3 100644 --- a/sdk/python/requirements/py3.10-ci-requirements.txt +++ b/sdk/python/requirements/py3.10-ci-requirements.txt @@ -63,22 +63,22 @@ azure-identity==1.9.0 # via adlfs azure-storage-blob==12.11.0 # via adlfs -babel==2.9.1 +babel==2.10.0 # via sphinx backcall==0.2.0 # via ipython black==19.10b0 # via feast (setup.py) -boto3==1.21.41 +boto3==1.21.43 # via # feast (setup.py) # moto -botocore==1.24.41 +botocore==1.24.43 # via # boto3 # moto # s3transfer -cachecontrol==0.12.10 +cachecontrol==0.12.11 # via firebase-admin cachetools==4.2.4 # via google-auth @@ -100,7 +100,7 @@ charset-normalizer==2.0.12 # aiohttp # requests # snowflake-connector-python -click==8.1.2 +click==8.0.1 # via # black # feast (setup.py) @@ -156,7 +156,7 @@ execnet==1.9.0 # via pytest-xdist executing==0.8.3 # via stack-data -fastapi==0.75.1 +fastapi==0.75.2 # via feast (setup.py) fastavro==1.4.10 # via @@ -191,7 +191,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.44.0 +google-api-python-client==2.45.0 # via firebase-admin google-auth==1.35.0 # via @@ -306,7 +306,7 @@ jsonschema==4.4.0 # feast (setup.py) # great-expectations # nbformat -jupyter-core==4.9.2 +jupyter-core==4.10.0 # via nbformat locket==0.2.1 # via partd @@ -326,7 +326,7 @@ mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.1.4 +moto==3.1.5 # via feast (setup.py) msal==1.17.0 # via @@ -403,7 +403,7 @@ pickleshare==0.7.5 # via ipython pip-tools==6.6.0 # via feast (setup.py) -platformdirs==2.5.1 +platformdirs==2.5.2 # via virtualenv pluggy==1.0.0 # via pytest @@ -434,6 +434,8 @@ protobuf==3.19.4 # tensorflow-metadata psutil==5.9.0 # via feast (setup.py) +psycopg2-binary==2.9.3 + # via feast (setup.py) ptyprocess==0.7.0 # via pexpect pure-eval==0.2.2 @@ -666,29 +668,29 @@ traitlets==5.1.1 # nbformat trino==0.312.0 # via feast (setup.py) -typed-ast==1.5.2 +typed-ast==1.5.3 # via black -types-protobuf==3.19.15 +types-protobuf==3.19.17 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.10 +types-python-dateutil==2.8.11 # via feast (setup.py) types-pytz==2021.3.6 # via feast (setup.py) -types-pyyaml==6.0.5 +types-pyyaml==6.0.6 # via feast (setup.py) -types-redis==4.1.19 +types-redis==4.1.21 # via feast (setup.py) -types-requests==2.27.16 +types-requests==2.27.19 # via feast (setup.py) -types-setuptools==57.4.12 +types-setuptools==57.4.14 # via feast (setup.py) -types-tabulate==0.8.6 +types-tabulate==0.8.7 # via feast (setup.py) -types-urllib3==1.26.11 +types-urllib3==1.26.13 # via types-requests -typing-extensions==4.1.1 +typing-extensions==4.2.0 # via # azure-core # great-expectations @@ -720,7 +722,7 @@ wcwidth==0.2.5 # via prompt-toolkit websocket-client==1.3.2 # via docker -websockets==10.2 +websockets==10.3 # via uvicorn werkzeug==2.1.1 # via moto diff --git a/sdk/python/requirements/py3.10-requirements.txt b/sdk/python/requirements/py3.10-requirements.txt index 455d80b7909..44589f680ac 100644 --- a/sdk/python/requirements/py3.10-requirements.txt +++ b/sdk/python/requirements/py3.10-requirements.txt @@ -20,7 +20,7 @@ certifi==2021.10.8 # via requests charset-normalizer==2.0.12 # via requests -click==8.1.2 +click==8.0.1 # via # feast (setup.py) # uvicorn @@ -32,7 +32,7 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.75.1 +fastapi==0.75.2 # via feast (setup.py) fastavro==1.4.10 # via @@ -154,7 +154,7 @@ toolz==0.11.2 # partd tqdm==4.64.0 # via feast (setup.py) -typing-extensions==4.1.1 +typing-extensions==4.2.0 # via pydantic urllib3==1.26.9 # via requests @@ -164,5 +164,5 @@ uvloop==0.16.0 # via uvicorn watchgod==0.8.2 # via uvicorn -websockets==10.2 +websockets==10.3 # via uvicorn diff --git a/sdk/python/requirements/py3.7-ci-requirements.txt b/sdk/python/requirements/py3.7-ci-requirements.txt index 224840a6f75..2fe543c9012 100644 --- a/sdk/python/requirements/py3.7-ci-requirements.txt +++ b/sdk/python/requirements/py3.7-ci-requirements.txt @@ -23,20 +23,16 @@ alabaster==0.7.12 altair==4.2.0 # via great-expectations anyio==3.5.0 - # via starlette + # via + # starlette + # watchgod appdirs==1.4.4 # via black -appnope==0.1.2 - # via - # ipykernel - # ipython -argon2-cffi==21.3.0 - # via notebook -argon2-cffi-bindings==21.2.0 - # via argon2-cffi +appnope==0.1.3 + # via ipython asgiref==3.5.0 # via uvicorn -asn1crypto==1.4.0 +asn1crypto==1.5.1 # via # oscrypto # snowflake-connector-python @@ -56,18 +52,18 @@ attrs==21.4.0 # pytest avro==1.10.0 # via feast (setup.py) -azure-core==1.23.0 +azure-core==1.23.1 # via # adlfs # azure-identity # azure-storage-blob azure-datalake-store==0.0.52 # via adlfs -azure-identity==1.8.0 +azure-identity==1.9.0 # via adlfs -azure-storage-blob==12.9.0 +azure-storage-blob==12.11.0 # via adlfs -babel==2.9.1 +babel==2.10.0 # via sphinx backcall==0.2.0 # via ipython @@ -77,18 +73,16 @@ backports-zoneinfo==0.2.1 # tzlocal black==19.10b0 # via feast (setup.py) -bleach==4.1.0 - # via nbconvert -boto3==1.21.11 +boto3==1.21.43 # via # feast (setup.py) # moto -botocore==1.24.11 +botocore==1.24.43 # via # boto3 # moto # s3transfer -cachecontrol==0.12.10 +cachecontrol==0.12.11 # via firebase-admin cachetools==4.2.4 # via google-auth @@ -100,7 +94,6 @@ certifi==2021.10.8 # snowflake-connector-python cffi==1.15.0 # via - # argon2-cffi-bindings # azure-datalake-store # cryptography # snowflake-connector-python @@ -111,7 +104,7 @@ charset-normalizer==2.0.12 # aiohttp # requests # snowflake-connector-python -click==8.0.4 +click==8.0.1 # via # black # feast (setup.py) @@ -121,7 +114,9 @@ click==8.0.4 cloudpickle==2.0.0 # via dask colorama==0.4.4 - # via feast (setup.py) + # via + # feast (setup.py) + # great-expectations coverage[toml]==6.3.2 # via pytest-cov cryptography==3.4.8 @@ -130,21 +125,19 @@ cryptography==3.4.8 # azure-identity # azure-storage-blob # feast (setup.py) + # great-expectations # moto # msal - # pyjwt # pyopenssl # snowflake-connector-python dask==2022.1.1 # via feast (setup.py) -debugpy==1.5.1 - # via ipykernel +dataclasses==0.6 + # via great-expectations decorator==5.1.1 # via # gcsfs # ipython -defusedxml==0.7.1 - # via nbconvert deprecated==1.2.13 # via redis deprecation==2.1.0 @@ -162,18 +155,17 @@ docutils==0.17.1 # sphinx # sphinx-rtd-theme entrypoints==0.4 - # via - # altair - # jupyter-client - # nbconvert + # via altair execnet==1.9.0 # via pytest-xdist -fastapi==0.74.1 +fastapi==0.75.2 # via feast (setup.py) -fastavro==1.4.9 +fastavro==1.4.10 # via # feast (setup.py) # pandavro +fastjsonschema==2.15.3 + # via nbformat filelock==3.6.0 # via virtualenv firebase-admin==4.5.2 @@ -184,12 +176,12 @@ frozenlist==1.3.0 # via # aiohttp # aiosignal -fsspec==2022.2.0 +fsspec==2022.3.0 # via # adlfs # dask # gcsfs -gcsfs==2022.2.0 +gcsfs==2022.3.0 # via feast (setup.py) google-api-core[grpc]==1.31.5 # via @@ -201,7 +193,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.39.0 +google-api-python-client==2.45.0 # via firebase-admin google-auth==1.35.0 # via @@ -214,11 +206,11 @@ google-auth==1.35.0 # google-cloud-storage google-auth-httplib2==0.1.0 # via google-api-python-client -google-auth-oauthlib==0.5.0 +google-auth-oauthlib==0.5.1 # via gcsfs -google-cloud-bigquery==2.34.1 +google-cloud-bigquery==2.34.3 # via feast (setup.py) -google-cloud-bigquery-storage==2.12.0 +google-cloud-bigquery-storage==2.13.1 # via feast (setup.py) google-cloud-core==1.7.2 # via @@ -227,9 +219,9 @@ google-cloud-core==1.7.2 # google-cloud-datastore # google-cloud-firestore # google-cloud-storage -google-cloud-datastore==2.5.0 +google-cloud-datastore==2.5.1 # via feast (setup.py) -google-cloud-firestore==2.3.4 +google-cloud-firestore==2.4.0 # via firebase-admin google-cloud-storage==1.40.0 # via @@ -247,7 +239,7 @@ googleapis-common-protos==1.52.0 # feast (setup.py) # google-api-core # tensorflow-metadata -great-expectations==0.14.8 +great-expectations==0.14.13 # via feast (setup.py) grpcio==1.44.0 # via @@ -271,9 +263,9 @@ httplib2==0.20.4 # via # google-api-python-client # google-auth-httplib2 -httptools==0.3.0 +httptools==0.4.0 # via uvicorn -identify==2.4.11 +identify==2.4.12 # via pre-commit idna==3.3 # via @@ -296,24 +288,11 @@ importlib-metadata==4.2.0 # pytest # redis # virtualenv -importlib-resources==5.4.0 +importlib-resources==5.7.1 # via jsonschema iniconfig==1.1.1 # via pytest -ipykernel==6.9.1 - # via - # ipywidgets - # notebook ipython==7.32.0 - # via - # ipykernel - # ipywidgets -ipython-genutils==0.2.0 - # via - # ipywidgets - # nbformat - # notebook -ipywidgets==7.6.5 # via great-expectations isodate==0.6.1 # via msrest @@ -327,16 +306,14 @@ jinja2==3.0.3 # feast (setup.py) # great-expectations # moto - # nbconvert - # notebook # sphinx -jmespath==0.10.0 +jmespath==1.0.0 # via # boto3 # botocore jsonpatch==1.32 # via great-expectations -jsonpointer==2.2 +jsonpointer==2.3 # via jsonpatch jsonschema==4.4.0 # via @@ -344,44 +321,27 @@ jsonschema==4.4.0 # feast (setup.py) # great-expectations # nbformat -jupyter-client==7.1.2 - # via - # ipykernel - # nbclient - # notebook -jupyter-core==4.9.2 - # via - # jupyter-client - # nbconvert - # nbformat - # notebook -jupyterlab-pygments==0.1.2 - # via nbconvert -jupyterlab-widgets==1.0.2 - # via ipywidgets +jupyter-core==4.10.0 + # via nbformat locket==0.2.1 # via partd -markupsafe==2.1.0 +markupsafe==2.1.1 # via # jinja2 # moto matplotlib-inline==0.1.3 - # via - # ipykernel - # ipython + # via ipython mccabe==0.6.1 # via flake8 minio==7.1.0 # via feast (setup.py) -mistune==0.8.4 - # via - # great-expectations - # nbconvert +mistune==2.0.2 + # via great-expectations mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.0.5 +moto==3.1.5 # via feast (setup.py) msal==1.17.0 # via @@ -407,27 +367,11 @@ mypy-extensions==0.4.3 # via mypy mypy-protobuf==3.1 # via feast (setup.py) -nbclient==0.5.11 - # via nbconvert -nbconvert==6.4.2 - # via notebook -nbformat==5.1.3 - # via - # ipywidgets - # nbclient - # nbconvert - # notebook -nest-asyncio==1.5.4 - # via - # ipykernel - # jupyter-client - # nbclient - # notebook +nbformat==5.3.0 + # via great-expectations nodeenv==1.6.0 # via pre-commit -notebook==6.4.10 - # via widgetsnbextension -numpy==1.21.5 +numpy==1.21.6 # via # altair # great-expectations @@ -437,16 +381,15 @@ numpy==1.21.5 # scipy oauthlib==3.2.0 # via requests-oauthlib -oscrypto==1.2.1 +oscrypto==1.3.0 # via snowflake-connector-python packaging==21.3 # via - # bleach # dask # deprecation # google-api-core # google-cloud-bigquery - # google-cloud-firestore + # great-expectations # pytest # redis # sphinx @@ -459,8 +402,6 @@ pandas==1.3.5 # snowflake-connector-python pandavro==1.5.2 # via feast (setup.py) -pandocfilters==1.5.0 - # via nbconvert parso==0.8.3 # via jedi partd==1.2.0 @@ -475,19 +416,17 @@ pexpect==4.8.0 # via ipython pickleshare==0.7.5 # via ipython -pip-tools==6.5.1 +pip-tools==6.6.0 # via feast (setup.py) -platformdirs==2.5.1 +platformdirs==2.5.2 # via virtualenv pluggy==1.0.0 # via pytest portalocker==2.4.0 # via msal-extensions -pre-commit==2.17.0 +pre-commit==2.18.1 # via feast (setup.py) -prometheus-client==0.13.1 - # via notebook -prompt-toolkit==3.0.28 +prompt-toolkit==3.0.29 # via ipython proto-plus==1.19.6 # via @@ -510,10 +449,10 @@ protobuf==3.19.4 # tensorflow-metadata psutil==5.9.0 # via feast (setup.py) +psycopg2-binary==2.9.3 + # via feast (setup.py) ptyprocess==0.7.0 - # via - # pexpect - # terminado + # via pexpect py==1.11.0 # via # pytest @@ -532,7 +471,7 @@ pyasn1==0.4.8 # rsa pyasn1-modules==0.2.8 # via google-auth -pybindgen==0.22.0 +pybindgen==0.22.1 # via feast (setup.py) pycodestyle==2.8.0 # via flake8 @@ -549,8 +488,6 @@ pyflakes==2.4.0 pygments==2.11.2 # via # ipython - # jupyterlab-pygments - # nbconvert # sphinx pyjwt[crypto]==2.3.0 # via @@ -568,7 +505,7 @@ pyrsistent==0.18.1 # via jsonschema pyspark==3.2.1 # via feast (setup.py) -pytest==7.0.1 +pytest==7.1.1 # via # feast (setup.py) # pytest-benchmark @@ -601,12 +538,11 @@ python-dateutil==2.8.2 # botocore # google-cloud-bigquery # great-expectations - # jupyter-client # moto # pandas -python-dotenv==0.19.2 +python-dotenv==0.20.0 # via uvicorn -pytz==2021.3 +pytz==2022.1 # via # babel # google-api-core @@ -623,13 +559,9 @@ pyyaml==6.0 # feast (setup.py) # pre-commit # uvicorn -pyzmq==22.3.0 - # via - # jupyter-client - # notebook redis==4.2.2 # via feast (setup.py) -regex==2022.3.2 +regex==2022.3.15 # via black requests==2.27.1 # via @@ -656,7 +588,7 @@ requests-oauthlib==1.3.1 # via # google-auth-oauthlib # msrest -responses==0.18.0 +responses==0.20.0 # via moto rsa==4.8 # via google-auth @@ -668,21 +600,17 @@ s3transfer==0.5.2 # via boto3 scipy==1.7.3 # via great-expectations -send2trash==1.8.0 - # via notebook six==1.16.0 # via # absl-py # azure-core # azure-identity - # bleach # google-api-core # google-auth # google-auth-httplib2 # google-cloud-core # google-resumable-media # grpcio - # isodate # mock # msrestazure # pandavro @@ -693,7 +621,7 @@ sniffio==1.2.0 # via anyio snowballstemmer==2.2.0 # via sphinx -snowflake-connector-python[pandas]==2.7.4 +snowflake-connector-python[pandas]==2.7.6 # via feast (setup.py) sphinx==4.3.2 # via @@ -723,12 +651,8 @@ tensorflow-metadata==1.7.0 # via feast (setup.py) termcolor==1.1.0 # via great-expectations -terminado==0.13.2 - # via notebook testcontainers==3.5.3 # via feast (setup.py) -testpath==0.6.0 - # via nbconvert toml==0.10.2 # via # black @@ -745,59 +669,46 @@ toolz==0.11.2 # altair # dask # partd -tornado==6.1 - # via - # ipykernel - # jupyter-client - # notebook - # terminado -tqdm==4.63.0 +tqdm==4.64.0 # via # feast (setup.py) # great-expectations traitlets==5.1.1 # via - # ipykernel # ipython - # ipywidgets - # jupyter-client # jupyter-core # matplotlib-inline - # nbclient - # nbconvert # nbformat - # notebook trino==0.312.0 # via feast (setup.py) -typed-ast==1.5.2 +typed-ast==1.5.3 # via # black # mypy -types-protobuf==3.19.12 +types-protobuf==3.19.17 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.9 +types-python-dateutil==2.8.11 # via feast (setup.py) -types-pytz==2021.3.5 +types-pytz==2021.3.6 # via feast (setup.py) -types-pyyaml==6.0.4 +types-pyyaml==6.0.6 # via feast (setup.py) -types-redis==4.1.17 +types-redis==4.1.21 # via feast (setup.py) -types-requests==2.27.11 +types-requests==2.27.19 # via feast (setup.py) -types-setuptools==57.4.9 +types-setuptools==57.4.14 # via feast (setup.py) -types-tabulate==0.8.5 +types-tabulate==0.8.7 # via feast (setup.py) -types-urllib3==1.26.10 +types-urllib3==1.26.13 # via types-requests -typing-extensions==4.1.1 +typing-extensions==4.2.0 # via # aiohttp # anyio - # argon2-cffi # asgiref # async-timeout # azure-core @@ -811,42 +722,39 @@ typing-extensions==4.1.1 # starlette # uvicorn # yarl -tzdata==2021.5 +tzdata==2022.1 # via pytz-deprecation-shim -tzlocal==4.1 +tzlocal==4.2 # via great-expectations uritemplate==4.1.1 # via google-api-python-client -urllib3==1.26.8 +urllib3==1.26.9 # via # botocore # feast (setup.py) + # great-expectations # minio # requests # responses -uvicorn[standard]==0.17.5 +uvicorn[standard]==0.17.6 # via feast (setup.py) uvloop==0.16.0 # via uvicorn -virtualenv==20.13.2 +virtualenv==20.14.1 # via pre-commit -watchgod==0.7 +watchgod==0.8.2 # via uvicorn wcwidth==0.2.5 # via prompt-toolkit -webencodings==0.5.1 - # via bleach -websocket-client==1.3.1 +websocket-client==1.3.2 # via docker -websockets==10.2 +websockets==10.3 # via uvicorn -werkzeug==2.0.3 +werkzeug==2.1.1 # via moto wheel==0.37.1 # via pip-tools -widgetsnbextension==3.5.2 - # via ipywidgets -wrapt==1.13.3 +wrapt==1.14.0 # via # deprecated # testcontainers @@ -854,7 +762,7 @@ xmltodict==0.12.0 # via moto yarl==1.7.2 # via aiohttp -zipp==3.7.0 +zipp==3.8.0 # via # importlib-metadata # importlib-resources diff --git a/sdk/python/requirements/py3.7-requirements.txt b/sdk/python/requirements/py3.7-requirements.txt index f3c90a6e3bd..693486bcbf8 100644 --- a/sdk/python/requirements/py3.7-requirements.txt +++ b/sdk/python/requirements/py3.7-requirements.txt @@ -7,7 +7,9 @@ absl-py==1.0.0 # via tensorflow-metadata anyio==3.5.0 - # via starlette + # via + # starlette + # watchgod asgiref==3.5.0 # via uvicorn attrs==21.4.0 @@ -18,7 +20,7 @@ certifi==2021.10.8 # via requests charset-normalizer==2.0.12 # via requests -click==8.0.4 +click==8.0.1 # via # feast (setup.py) # uvicorn @@ -30,17 +32,17 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.74.1 +fastapi==0.75.2 # via feast (setup.py) -fastavro==1.4.9 +fastavro==1.4.10 # via # feast (setup.py) # pandavro -fsspec==2022.2.0 +fsspec==2022.3.0 # via dask -google-api-core==2.5.0 +google-api-core==2.7.2 # via feast (setup.py) -google-auth==2.6.0 +google-auth==2.6.5 # via google-api-core googleapis-common-protos==1.52.0 # via @@ -55,29 +57,29 @@ grpcio-reflection==1.44.0 # via feast (setup.py) h11==0.13.0 # via uvicorn -httptools==0.3.0 +httptools==0.4.0 # via uvicorn idna==3.3 # via # anyio # requests -importlib-metadata==4.11.1 +importlib-metadata==4.11.3 # via # click # jsonschema -importlib-resources==5.4.0 +importlib-resources==5.7.1 # via jsonschema -jinja2==3.0.3 +jinja2==3.1.1 # via feast (setup.py) jsonschema==4.4.0 # via feast (setup.py) locket==0.2.1 # via partd -markupsafe==2.1.0 +markupsafe==2.1.1 # via jinja2 mmh3==3.0.0 # via feast (setup.py) -numpy==1.21.5 +numpy==1.21.6 # via # pandas # pandavro @@ -114,15 +116,15 @@ pydantic==1.9.0 # via # fastapi # feast (setup.py) -pyparsing==3.0.7 +pyparsing==3.0.8 # via packaging pyrsistent==0.18.1 # via jsonschema python-dateutil==2.8.2 # via pandas -python-dotenv==0.19.2 +python-dotenv==0.20.0 # via uvicorn -pytz==2021.3 +pytz==2022.1 # via pandas pyyaml==6.0 # via @@ -148,7 +150,7 @@ tabulate==0.8.9 # via feast (setup.py) tenacity==8.0.1 # via feast (setup.py) -tensorflow-metadata==1.6.0 +tensorflow-metadata==1.7.0 # via feast (setup.py) toml==0.10.2 # via feast (setup.py) @@ -156,9 +158,9 @@ toolz==0.11.2 # via # dask # partd -tqdm==4.62.3 +tqdm==4.64.0 # via feast (setup.py) -typing-extensions==4.1.1 +typing-extensions==4.2.0 # via # anyio # asgiref @@ -168,17 +170,17 @@ typing-extensions==4.1.1 # pydantic # starlette # uvicorn -urllib3==1.26.8 +urllib3==1.26.9 # via requests -uvicorn[standard]==0.17.5 +uvicorn[standard]==0.17.6 # via feast (setup.py) uvloop==0.16.0 # via uvicorn -watchgod==0.7 +watchgod==0.8.2 # via uvicorn -websockets==10.2 +websockets==10.3 # via uvicorn -zipp==3.7.0 +zipp==3.8.0 # via # importlib-metadata # importlib-resources diff --git a/sdk/python/requirements/py3.8-ci-requirements.txt b/sdk/python/requirements/py3.8-ci-requirements.txt index 34032ef7d26..07bf635a51e 100644 --- a/sdk/python/requirements/py3.8-ci-requirements.txt +++ b/sdk/python/requirements/py3.8-ci-requirements.txt @@ -63,7 +63,7 @@ azure-identity==1.9.0 # via adlfs azure-storage-blob==12.11.0 # via adlfs -babel==2.9.1 +babel==2.10.0 # via sphinx backcall==0.2.0 # via ipython @@ -73,16 +73,16 @@ backports-zoneinfo==0.2.1 # tzlocal black==19.10b0 # via feast (setup.py) -boto3==1.21.41 +boto3==1.21.43 # via # feast (setup.py) # moto -botocore==1.24.41 +botocore==1.24.43 # via # boto3 # moto # s3transfer -cachecontrol==0.12.10 +cachecontrol==0.12.11 # via firebase-admin cachetools==4.2.4 # via google-auth @@ -104,7 +104,7 @@ charset-normalizer==2.0.12 # aiohttp # requests # snowflake-connector-python -click==8.1.2 +click==8.0.1 # via # black # feast (setup.py) @@ -160,7 +160,7 @@ execnet==1.9.0 # via pytest-xdist executing==0.8.3 # via stack-data -fastapi==0.75.1 +fastapi==0.75.2 # via feast (setup.py) fastavro==1.4.10 # via @@ -195,7 +195,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.44.0 +google-api-python-client==2.45.0 # via firebase-admin google-auth==1.35.0 # via @@ -279,7 +279,7 @@ imagesize==1.3.0 # via sphinx importlib-metadata==4.11.3 # via great-expectations -importlib-resources==5.7.0 +importlib-resources==5.7.1 # via jsonschema iniconfig==1.1.1 # via pytest @@ -312,7 +312,7 @@ jsonschema==4.4.0 # feast (setup.py) # great-expectations # nbformat -jupyter-core==4.9.2 +jupyter-core==4.10.0 # via nbformat locket==0.2.1 # via partd @@ -332,7 +332,7 @@ mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.1.4 +moto==3.1.5 # via feast (setup.py) msal==1.17.0 # via @@ -409,7 +409,7 @@ pickleshare==0.7.5 # via ipython pip-tools==6.6.0 # via feast (setup.py) -platformdirs==2.5.1 +platformdirs==2.5.2 # via virtualenv pluggy==1.0.0 # via pytest @@ -440,6 +440,8 @@ protobuf==3.19.4 # tensorflow-metadata psutil==5.9.0 # via feast (setup.py) +psycopg2-binary==2.9.3 + # via feast (setup.py) ptyprocess==0.7.0 # via pexpect pure-eval==0.2.2 @@ -674,29 +676,29 @@ traitlets==5.1.1 # nbformat trino==0.312.0 # via feast (setup.py) -typed-ast==1.5.2 +typed-ast==1.5.3 # via black -types-protobuf==3.19.15 +types-protobuf==3.19.17 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.10 +types-python-dateutil==2.8.11 # via feast (setup.py) types-pytz==2021.3.6 # via feast (setup.py) -types-pyyaml==6.0.5 +types-pyyaml==6.0.6 # via feast (setup.py) -types-redis==4.1.19 +types-redis==4.1.21 # via feast (setup.py) -types-requests==2.27.16 +types-requests==2.27.19 # via feast (setup.py) -types-setuptools==57.4.12 +types-setuptools==57.4.14 # via feast (setup.py) -types-tabulate==0.8.6 +types-tabulate==0.8.7 # via feast (setup.py) -types-urllib3==1.26.11 +types-urllib3==1.26.13 # via types-requests -typing-extensions==4.1.1 +typing-extensions==4.2.0 # via # azure-core # great-expectations @@ -728,7 +730,7 @@ wcwidth==0.2.5 # via prompt-toolkit websocket-client==1.3.2 # via docker -websockets==10.2 +websockets==10.3 # via uvicorn werkzeug==2.1.1 # via moto diff --git a/sdk/python/requirements/py3.8-requirements.txt b/sdk/python/requirements/py3.8-requirements.txt index 9000c7b1f7b..92445b305b9 100644 --- a/sdk/python/requirements/py3.8-requirements.txt +++ b/sdk/python/requirements/py3.8-requirements.txt @@ -20,7 +20,7 @@ certifi==2021.10.8 # via requests charset-normalizer==2.0.12 # via requests -click==8.1.2 +click==8.0.1 # via # feast (setup.py) # uvicorn @@ -32,7 +32,7 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.75.1 +fastapi==0.75.2 # via feast (setup.py) fastavro==1.4.10 # via @@ -63,7 +63,7 @@ idna==3.3 # via # anyio # requests -importlib-resources==5.7.0 +importlib-resources==5.7.1 # via jsonschema jinja2==3.1.1 # via feast (setup.py) @@ -156,7 +156,7 @@ toolz==0.11.2 # partd tqdm==4.64.0 # via feast (setup.py) -typing-extensions==4.1.1 +typing-extensions==4.2.0 # via pydantic urllib3==1.26.9 # via requests @@ -166,7 +166,7 @@ uvloop==0.16.0 # via uvicorn watchgod==0.8.2 # via uvicorn -websockets==10.2 +websockets==10.3 # via uvicorn zipp==3.8.0 # via importlib-resources diff --git a/sdk/python/requirements/py3.9-ci-requirements.txt b/sdk/python/requirements/py3.9-ci-requirements.txt index 1ab910a16d8..42d7b35335d 100644 --- a/sdk/python/requirements/py3.9-ci-requirements.txt +++ b/sdk/python/requirements/py3.9-ci-requirements.txt @@ -63,22 +63,22 @@ azure-identity==1.9.0 # via adlfs azure-storage-blob==12.11.0 # via adlfs -babel==2.9.1 +babel==2.10.0 # via sphinx backcall==0.2.0 # via ipython black==19.10b0 # via feast (setup.py) -boto3==1.21.41 +boto3==1.21.43 # via # feast (setup.py) # moto -botocore==1.24.41 +botocore==1.24.43 # via # boto3 # moto # s3transfer -cachecontrol==0.12.10 +cachecontrol==0.12.11 # via firebase-admin cachetools==4.2.4 # via google-auth @@ -100,7 +100,7 @@ charset-normalizer==2.0.12 # aiohttp # requests # snowflake-connector-python -click==8.1.2 +click==8.0.1 # via # black # feast (setup.py) @@ -156,7 +156,7 @@ execnet==1.9.0 # via pytest-xdist executing==0.8.3 # via stack-data -fastapi==0.75.1 +fastapi==0.75.2 # via feast (setup.py) fastavro==1.4.10 # via @@ -191,7 +191,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.44.0 +google-api-python-client==2.45.0 # via firebase-admin google-auth==1.35.0 # via @@ -306,7 +306,7 @@ jsonschema==4.4.0 # feast (setup.py) # great-expectations # nbformat -jupyter-core==4.9.2 +jupyter-core==4.10.0 # via nbformat locket==0.2.1 # via partd @@ -326,7 +326,7 @@ mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.1.4 +moto==3.1.5 # via feast (setup.py) msal==1.17.0 # via @@ -403,7 +403,7 @@ pickleshare==0.7.5 # via ipython pip-tools==6.6.0 # via feast (setup.py) -platformdirs==2.5.1 +platformdirs==2.5.2 # via virtualenv pluggy==1.0.0 # via pytest @@ -434,6 +434,8 @@ protobuf==3.19.4 # tensorflow-metadata psutil==5.9.0 # via feast (setup.py) +psycopg2-binary==2.9.3 + # via feast (setup.py) ptyprocess==0.7.0 # via pexpect pure-eval==0.2.2 @@ -577,10 +579,10 @@ responses==0.20.0 # via moto rsa==4.8 # via google-auth -ruamel-yaml==0.17.17 +ruamel.yaml==0.17.17 # via great-expectations -ruamel-yaml-clib==0.2.6 - # via ruamel-yaml +ruamel.yaml.clib==0.2.6 + # via ruamel.yaml s3transfer==0.5.2 # via boto3 scipy==1.8.0 @@ -668,29 +670,29 @@ traitlets==5.1.1 # nbformat trino==0.312.0 # via feast (setup.py) -typed-ast==1.5.2 +typed-ast==1.5.3 # via black -types-protobuf==3.19.15 +types-protobuf==3.19.17 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.10 +types-python-dateutil==2.8.11 # via feast (setup.py) types-pytz==2021.3.6 # via feast (setup.py) -types-pyyaml==6.0.5 +types-pyyaml==6.0.6 # via feast (setup.py) -types-redis==4.1.19 +types-redis==4.1.21 # via feast (setup.py) -types-requests==2.27.16 +types-requests==2.27.19 # via feast (setup.py) -types-setuptools==57.4.12 +types-setuptools==57.4.14 # via feast (setup.py) -types-tabulate==0.8.6 +types-tabulate==0.8.7 # via feast (setup.py) -types-urllib3==1.26.11 +types-urllib3==1.26.13 # via types-requests -typing-extensions==4.1.1 +typing-extensions==4.2.0 # via # azure-core # great-expectations @@ -722,7 +724,7 @@ wcwidth==0.2.5 # via prompt-toolkit websocket-client==1.3.2 # via docker -websockets==10.2 +websockets==10.3 # via uvicorn werkzeug==2.1.1 # via moto diff --git a/sdk/python/requirements/py3.9-requirements.txt b/sdk/python/requirements/py3.9-requirements.txt index 6413886c5b4..d277f60689a 100644 --- a/sdk/python/requirements/py3.9-requirements.txt +++ b/sdk/python/requirements/py3.9-requirements.txt @@ -20,7 +20,7 @@ certifi==2021.10.8 # via requests charset-normalizer==2.0.12 # via requests -click==8.1.2 +click==8.0.1 # via # feast (setup.py) # uvicorn @@ -32,7 +32,7 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.75.1 +fastapi==0.75.2 # via feast (setup.py) fastavro==1.4.10 # via @@ -154,7 +154,7 @@ toolz==0.11.2 # partd tqdm==4.64.0 # via feast (setup.py) -typing-extensions==4.1.1 +typing-extensions==4.2.0 # via pydantic urllib3==1.26.9 # via requests @@ -164,5 +164,5 @@ uvloop==0.16.0 # via uvicorn watchgod==0.8.2 # via uvicorn -websockets==10.2 +websockets==10.3 # via uvicorn diff --git a/sdk/python/setup.py b/sdk/python/setup.py index ed1a1a7f9f4..8527d2f8c11 100644 --- a/sdk/python/setup.py +++ b/sdk/python/setup.py @@ -46,7 +46,7 @@ REQUIRES_PYTHON = ">=3.7.0" REQUIRED = [ - "click>=7.0.0", + "click>=7.0.0,<8.0.2", "colorama>=0.3.9", "dill==0.3.*", "fastavro>=1.1.0", @@ -105,6 +105,10 @@ "trino>=0.305.0,<0.400.0", ] +POSTGRES_REQUIRED = [ + "psycopg2-binary>=2.8.3", +] + GE_REQUIRED = [ "great_expectations>=0.14.0,<0.15.0" ] @@ -157,6 +161,7 @@ + AWS_REQUIRED + SNOWFLAKE_REQUIRED + SPARK_REQUIRED + + POSTGRES_REQUIRED + TRINO_REQUIRED + GE_REQUIRED ) @@ -433,6 +438,7 @@ def copy_extensions_to_source(self): "snowflake": SNOWFLAKE_REQUIRED, "spark": SPARK_REQUIRED, "trino": TRINO_REQUIRED, + "postgres": POSTGRES_REQUIRED, "ge": GE_REQUIRED, }, include_package_data=True, diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/__init__.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py new file mode 100644 index 00000000000..de5df6496f3 --- /dev/null +++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py @@ -0,0 +1,71 @@ +from typing import Dict, List, Optional + +import pandas as pd + +from feast.data_source import DataSource +from feast.infra.offline_stores.contrib.postgres_offline_store.postgres import ( + PostgreSQLOfflineStoreConfig, + PostgreSQLSource, +) +from feast.infra.utils.postgres.connection_utils import _get_conn, df_to_postgres_table +from feast.repo_config import FeastConfigBaseModel +from tests.integration.feature_repos.universal.data_source_creator import ( + DataSourceCreator, +) + + +class PostgreSQLDataSourceCreator(DataSourceCreator): + tables: List[str] = [] + + def __init__(self, project_name: str, *args, **kwargs): + super().__init__(project_name) + self.project_name = project_name + + self.offline_store_config = PostgreSQLOfflineStoreConfig( + type="postgres", + host="localhost", + port=5432, + database="postgres", + db_schema="public", + user="postgres", + password="docker", + ) + + def create_data_source( + self, + df: pd.DataFrame, + destination_name: str, + suffix: Optional[str] = None, + timestamp_field="ts", + created_timestamp_column="created_ts", + field_mapping: Dict[str, str] = None, + ) -> DataSource: + + destination_name = self.get_prefixed_table_name(destination_name) + + df_to_postgres_table(self.offline_store_config, df, destination_name) + + self.tables.append(destination_name) + + return PostgreSQLSource( + name=destination_name, + query=f"SELECT * FROM {destination_name}", + timestamp_field=timestamp_field, + created_timestamp_column=created_timestamp_column, + field_mapping=field_mapping or {"ts_1": "ts"}, + ) + + def create_offline_store_config(self) -> FeastConfigBaseModel: + return self.offline_store_config + + def get_prefixed_table_name(self, suffix: str) -> str: + return f"{self.project_name}_{suffix}" + + def create_saved_dataset_destination(self): + # FIXME: ... + return None + + def teardown(self): + with _get_conn(self.offline_store_config) as conn, conn.cursor() as cur: + for table in self.tables: + cur.execute("DROP TABLE IF EXISTS " + table) From 047d469346cc0696adcc5feb32c9ef8f0ea7ad19 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 20 Apr 2022 18:24:22 -0400 Subject: [PATCH 21/87] docs: Fix broken links (#2583) Signed-off-by: Danny Chiao --- docs/getting-started/faq.md | 4 ++-- docs/how-to-guides/running-feast-in-production.md | 2 +- docs/reference/alpha-aws-lambda-feature-server.md | 2 +- docs/reference/feast-cli-commands.md | 4 ++-- 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/getting-started/faq.md b/docs/getting-started/faq.md index ebae9129622..fa6ee3b87cd 100644 --- a/docs/getting-started/faq.md +++ b/docs/getting-started/faq.md @@ -3,7 +3,7 @@ {% hint style="info" %} **Don't see your question?** -We encourage you to ask questions on [Slack](https://slack.feast.dev) or [Github](https://github.com/feast-dev/feast). Even better, once you get an answer, add the answer to this FAQ via a [pull request](../project/development-guide.md)! +We encourage you to ask questions on [Slack](https://slack.feast.dev) or [GitHub](https://github.com/feast-dev/feast). Even better, once you get an answer, add the answer to this FAQ via a [pull request](../project/development-guide.md)! {% endhint %} ## Getting started @@ -83,7 +83,7 @@ Yes. For example, the Postgres [connector](https://github.com/nossrannug/feast-p Yes. There are two ways to use S3 in Feast: -* Using Redshift as a data source via Spectrum ([AWS tutorial](https://docs.aws.amazon.com/redshift/latest/dg/tutorial-nested-data-create-table.html)), and then continuing with the [Running Feast with GCP/AWS](../how-to-guides/feast-gcp-aws/) guide. See a [presentation](https://youtu.be/pMFbRJ7AnBk?t=9463) we did on this at our apply() meetup. +* Using Redshift as a data source via Spectrum ([AWS tutorial](https://docs.aws.amazon.com/redshift/latest/dg/tutorial-nested-data-create-table.html)), and then continuing with the [Running Feast with Snowflake/GCP/AWS](../how-to-guides/feast-snowflake-gcp-aws/) guide. See a [presentation](https://youtu.be/pMFbRJ7AnBk?t=9463) we did on this at our apply() meetup. * Using the `s3_endpoint_override` in a `FileSource` data source. This endpoint is more suitable for quick proof of concepts that won't necessarily scale for production use cases. ### How can I use Spark with Feast? diff --git a/docs/how-to-guides/running-feast-in-production.md b/docs/how-to-guides/running-feast-in-production.md index 8518bb28d07..53808326091 100644 --- a/docs/how-to-guides/running-feast-in-production.md +++ b/docs/how-to-guides/running-feast-in-production.md @@ -274,7 +274,7 @@ For seamless integration with Kubernetes (including services created by Feast He ## 5. Ingesting features from a stream source -Recently Feast added functionality for [stream ingestion](../reference/alpha-stream-ingestion.md). +Recently Feast added functionality for [stream ingestion](../reference/data-sources/push.md). Please note that this is still in an early phase and new incompatible changes may be introduced. ### 5.1. Using Python SDK in your Apache Spark / Beam pipeline diff --git a/docs/reference/alpha-aws-lambda-feature-server.md b/docs/reference/alpha-aws-lambda-feature-server.md index 58a0f6862b7..eadcf40bb48 100644 --- a/docs/reference/alpha-aws-lambda-feature-server.md +++ b/docs/reference/alpha-aws-lambda-feature-server.md @@ -8,7 +8,7 @@ To enable this feature, run **`feast alpha enable aws_lambda_feature_server`** ## Overview -The AWS Lambda feature server is an HTTP endpoint that serves features with JSON I/O, deployed as a Docker image through AWS Lambda and AWS API Gateway. This enables users to get features from Feast using any programming language that can make HTTP requests. A [local feature server](feature-server.md) is also available. A remote feature server on GCP Cloud Run is currently being developed. +The AWS Lambda feature server is an HTTP endpoint that serves features with JSON I/O, deployed as a Docker image through AWS Lambda and AWS API Gateway. This enables users to get features from Feast using any programming language that can make HTTP requests. A [local feature server](feature-servers/python-feature-server.md) is also available. A remote feature server on GCP Cloud Run is currently being developed. ## Deployment diff --git a/docs/reference/feast-cli-commands.md b/docs/reference/feast-cli-commands.md index 7fb2ccbeb5f..38e85843d41 100644 --- a/docs/reference/feast-cli-commands.md +++ b/docs/reference/feast-cli-commands.md @@ -2,7 +2,7 @@ ## Overview -The Feast CLI comes bundled with the Feast Python package. It is immediately available after [installing Feast](../how-to-guides/feast-gcp-aws/install-feast.md). +The Feast CLI comes bundled with the Feast Python package. It is immediately available after [installing Feast](../how-to-guides/feast-snowflake-gcp-aws/install-feast.md). ```text Usage: feast [OPTIONS] COMMAND [ARGS]... @@ -54,7 +54,7 @@ feast apply **What does Feast apply do?** 1. Feast will scan Python files in your feature repository and find all Feast object definitions, such as feature views, entities, and data sources. -2. Feast will validate your feature definitions +2. Feast will validate your feature definitions (e.g. for uniqueness of features) 3. Feast will sync the metadata about Feast objects to the registry. If a registry does not exist, then it will be instantiated. The standard registry is a simple protobuf binary file that is stored on disk \(locally or in an object store\). 4. Feast CLI will create all necessary feature store infrastructure. The exact infrastructure that is deployed or configured depends on the `provider` configuration that you have set in `feature_store.yaml`. For example, setting `local` as your provider will result in a `sqlite` online store being created. From d120e9cf49f9b6a2a832d7124125ff0d2ffcb17d Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 20 Apr 2022 18:36:35 -0400 Subject: [PATCH 22/87] ci: Fix release process to also commit package.json from the web ui (#2582) Signed-off-by: Danny Chiao --- .releaserc.js | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.releaserc.js b/.releaserc.js index 8cdcc1f2779..2acf9b73506 100644 --- a/.releaserc.js +++ b/.releaserc.js @@ -57,7 +57,8 @@ module.exports = { assets: [ "CHANGELOG.md", "java/pom.xml", - "infra/charts/**/*.*" + "infra/charts/**/*.*", + "ui/package.json" ], message: "chore(release): release ${nextRelease.version}\n\n${nextRelease.notes}" } From e4242e1c4c7a04f026b8f222f0abff386fe84f32 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 20 Apr 2022 18:38:46 -0400 Subject: [PATCH 23/87] docs: Add postgres links to SUMMARY.md (#2585) * docs: Add postgres links to SUMMARY.md Signed-off-by: Danny Chiao * add to READMEs Signed-off-by: Danny Chiao --- docs/SUMMARY.md | 7 +++++-- docs/reference/data-sources/README.md | 8 ++++++-- docs/reference/offline-stores/README.md | 3 +++ docs/reference/online-stores/README.md | 2 ++ 4 files changed, 16 insertions(+), 4 deletions(-) diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index 11e20ab8310..4012b001e07 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -60,19 +60,22 @@ * [Snowflake](reference/data-sources/snowflake.md) * [BigQuery](reference/data-sources/bigquery.md) * [Redshift](reference/data-sources/redshift.md) - * [Spark](reference/data-sources/spark.md) * [Push](reference/data-sources/push.md) + * [Spark (contrib)](reference/data-sources/spark.md) + * [PostgreSQL (contrib)](reference/data-sources/postgres.md) * [Offline stores](reference/offline-stores/README.md) * [File](reference/offline-stores/file.md) * [Snowflake](reference/offline-stores/snowflake.md) * [BigQuery](reference/offline-stores/bigquery.md) * [Redshift](reference/offline-stores/redshift.md) - * [Spark](reference/offline-stores/spark.md) + * [Spark (contrib)](reference/offline-stores/spark.md) + * [PostgreSQL (contrib)](reference/offline-stores/postgres.md) * [Online stores](reference/online-stores/README.md) * [SQLite](reference/online-stores/sqlite.md) * [Redis](reference/online-stores/redis.md) * [Datastore](reference/online-stores/datastore.md) * [DynamoDB](reference/online-stores/dynamodb.md) + * [PostgreSQL (contrib)](reference/online-stores/postgres.md) * [Providers](reference/providers/README.md) * [Local](reference/providers/local.md) * [Google Cloud Platform](reference/providers/google-cloud-platform.md) diff --git a/docs/reference/data-sources/README.md b/docs/reference/data-sources/README.md index 43adf0d5936..89656b25702 100644 --- a/docs/reference/data-sources/README.md +++ b/docs/reference/data-sources/README.md @@ -18,10 +18,14 @@ Please see [Data Source](../../getting-started/concepts/feature-view.md#data-sou [redshift.md](redshift.md) {% endcontent-ref %} +{% content-ref url="push.md" %} +[push.md](push.md) +{% endcontent-ref %} + {% content-ref url="spark.md" %} [spark.md](spark.md) {% endcontent-ref %} -{% content-ref url="push.md" %} -[push.md](push.md) +{% content-ref url="postgres.md" %} +[postgres.md]([postgres].md) {% endcontent-ref %} diff --git a/docs/reference/offline-stores/README.md b/docs/reference/offline-stores/README.md index b3c85470b9d..57d7f35dea1 100644 --- a/docs/reference/offline-stores/README.md +++ b/docs/reference/offline-stores/README.md @@ -11,3 +11,6 @@ Please see [Offline Store](../../getting-started/architecture-and-components/off {% page-ref page="redshift.md" %} {% page-ref page="spark.md" %} + +{% page-ref page="postgres.md" %} + diff --git a/docs/reference/online-stores/README.md b/docs/reference/online-stores/README.md index 2c2902bc579..b3578b85394 100644 --- a/docs/reference/online-stores/README.md +++ b/docs/reference/online-stores/README.md @@ -9,3 +9,5 @@ Please see [Online Store](../../getting-started/architecture-and-components/onli {% page-ref page="datastore.md" %} {% page-ref page="dynamodb.md" %} + +{% page-ref page="postgres.md" %} From 1f931f63f184d882d382678d2928277375960661 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 20 Apr 2022 18:39:01 -0400 Subject: [PATCH 24/87] docs: Fix broken FAQ link to push sources (#2584) Signed-off-by: Danny Chiao --- docs/getting-started/faq.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/getting-started/faq.md b/docs/getting-started/faq.md index fa6ee3b87cd..21bad82312f 100644 --- a/docs/getting-started/faq.md +++ b/docs/getting-started/faq.md @@ -38,7 +38,7 @@ Feast currently does not support any access control other than the access contro ### Does Feast support streaming sources? -Yes. In earlier versions of Feast, we used Feast Spark to manage ingestion from stream sources. In the current version of Feast, we support [push based ingestion](../reference/alpha-stream-ingestion.md). +Yes. In earlier versions of Feast, we used Feast Spark to manage ingestion from stream sources. In the current version of Feast, we support [push based ingestion](../reference/data-sources/push.md). ### Does Feast support composite keys? From 104155cfcd681fe3ce88ece71f1d47eb5d7cfd36 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 20 Apr 2022 18:47:04 -0400 Subject: [PATCH 25/87] chore: Removing no telemetry release since it gives an InvalidMacaroon error (#2586) * chore: Removing no telemetry release since it gives an InvalidMacaroon error Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao --- .github/workflows/publish.yml | 40 +---------------------------------- 1 file changed, 1 insertion(+), 39 deletions(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 08339d3fcea..763cb52d0be 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -127,7 +127,7 @@ jobs: publish-python-sdk: runs-on: ubuntu-latest - needs: [build-python-sdk, build-python-sdk-no-telemetry, build-python-sdk-macos-py310] + needs: [build-python-sdk, build-python-sdk-macos-py310] steps: - uses: actions/download-artifact@v2 with: @@ -175,44 +175,6 @@ jobs: path: ./wheelhouse/*.whl - build-python-sdk-no-telemetry: - name: Build no telemetry wheels on ${{ matrix.os }} - runs-on: ${{ matrix.os }} - strategy: - matrix: - os: [ ubuntu-latest, macos-10.15 ] - needs: get-version - steps: - - uses: actions/checkout@v2 - - run: | - cd sdk/python - sed -i.bak 's/DEFAULT_FEAST_USAGE_VALUE = "True"/DEFAULT_FEAST_USAGE_VALUE = "False"/g' feast/constants.py - sed -i.bak 's/NAME = "feast"/NAME = "feast-no-telemetry"/g' setup.py - - name: Build wheels - uses: pypa/cibuildwheel@v2.4.0 - with: - package-dir: sdk/python - env: - CIBW_BUILD: "cp3*_x86_64" - CIBW_SKIP: "cp36-* *-musllinux_x86_64 cp310-macosx_x86_64" - CIBW_ARCHS: "native" - CIBW_ENVIRONMENT: > - COMPILE_GO=True SETUPTOOLS_SCM_PRETEND_VERSION="${{ needs.get-version.outputs.version_without_prefix }}" - CIBW_BEFORE_ALL_LINUX: | - yum install -y golang - CIBW_BEFORE_ALL_MACOS: | - curl -o python.pkg https://www.python.org/ftp/python/3.9.12/python-3.9.12-macosx10.9.pkg - sudo installer -pkg python.pkg -target / - CIBW_BEFORE_BUILD: | - make install-protoc-dependencies - make install-go-proto-dependencies - make install-go-ci-dependencies - - - uses: actions/upload-artifact@v2 - with: - name: wheels - path: ./wheelhouse/*.whl - build-python-sdk-macos-py310: runs-on: macos-10.15 env: From 19f1f4646b0e9aacd0b7e0b6b2e9bfcde3f574dd Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Thu, 21 Apr 2022 18:50:49 +0300 Subject: [PATCH 26/87] chore: Extra dependencies in setup.py for Go <-> Python interop (#2589) * install go dependencies Signed-off-by: pyalex * allow patch versions for cffi Signed-off-by: pyalex --- docs/reference/feature-servers/go-feature-retrieval.md | 5 +++++ sdk/python/setup.py | 5 +++++ 2 files changed, 10 insertions(+) diff --git a/docs/reference/feature-servers/go-feature-retrieval.md b/docs/reference/feature-servers/go-feature-retrieval.md index 05411a7f8c5..30c1a9ca721 100644 --- a/docs/reference/feature-servers/go-feature-retrieval.md +++ b/docs/reference/feature-servers/go-feature-retrieval.md @@ -12,6 +12,11 @@ The Go Feature Retrieval component currently only supports Redis and Sqlite as o As long as you are running macOS or linux, on x86, with python version 3.7-3.10, the go component comes pre-compiled when you install feast. +However, some additional dependencies are required for Go <-> Python interoperability. To install these dependencies run the following command in your console: +``` +pip install feast[go] +``` + For developers, if you want to build from source, run `make compile-go-lib` to build and compile the go server. ## Usage diff --git a/sdk/python/setup.py b/sdk/python/setup.py index 8527d2f8c11..b02993d68cd 100644 --- a/sdk/python/setup.py +++ b/sdk/python/setup.py @@ -113,6 +113,10 @@ "great_expectations>=0.14.0,<0.15.0" ] +GO_REQUIRED = [ + "cffi==1.15.*", +] + CI_REQUIRED = ( [ "cryptography==3.4.8", @@ -440,6 +444,7 @@ def copy_extensions_to_source(self): "trino": TRINO_REQUIRED, "postgres": POSTGRES_REQUIRED, "ge": GE_REQUIRED, + "go": GO_REQUIRED, }, include_package_data=True, license="Apache", From e3d958863b32df0158b278fb97d392397cdff672 Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Thu, 21 Apr 2022 19:13:49 +0300 Subject: [PATCH 27/87] fix: Feature with timestamp type is incorrectly interpreted by Go FS (#2588) Signed-off-by: pyalex --- go/types/typeconversion.go | 24 +++++++++---------- .../embedded_go/online_features_service.py | 14 +++++------ 2 files changed, 19 insertions(+), 19 deletions(-) diff --git a/go/types/typeconversion.go b/go/types/typeconversion.go index c02768c755d..f42356b4544 100644 --- a/go/types/typeconversion.go +++ b/go/types/typeconversion.go @@ -40,9 +40,9 @@ func ProtoTypeToArrowType(sample *types.Value) (arrow.DataType, error) { case *types.Value_DoubleListVal: return arrow.ListOf(arrow.PrimitiveTypes.Float64), nil case *types.Value_UnixTimestampVal: - return arrow.FixedWidthTypes.Time64ns, nil + return arrow.FixedWidthTypes.Time32s, nil case *types.Value_UnixTimestampListVal: - return arrow.ListOf(arrow.FixedWidthTypes.Time64ns), nil + return arrow.ListOf(arrow.FixedWidthTypes.Time32s), nil default: return nil, fmt.Errorf("unsupported proto type in proto to arrow conversion: %s", sample.Val) @@ -80,9 +80,9 @@ func ValueTypeEnumToArrowType(t types.ValueType_Enum) (arrow.DataType, error) { case types.ValueType_DOUBLE_LIST: return arrow.ListOf(arrow.PrimitiveTypes.Float64), nil case types.ValueType_UNIX_TIMESTAMP: - return arrow.FixedWidthTypes.Time64ns, nil + return arrow.FixedWidthTypes.Time32s, nil case types.ValueType_UNIX_TIMESTAMP_LIST: - return arrow.ListOf(arrow.FixedWidthTypes.Time64ns), nil + return arrow.ListOf(arrow.FixedWidthTypes.Time32s), nil default: return nil, fmt.Errorf("unsupported value type enum in enum to arrow type conversion: %s", t) @@ -119,9 +119,9 @@ func copyProtoValuesToArrowArray(builder array.Builder, values []*types.Value) e for _, v := range values { fieldBuilder.Append(v.GetDoubleVal()) } - case *array.Time64Builder: + case *array.Time32Builder: for _, v := range values { - fieldBuilder.Append(arrow.Time64(v.GetUnixTimestampVal())) + fieldBuilder.Append(arrow.Time32(v.GetUnixTimestampVal())) } case *array.ListBuilder: for _, list := range values { @@ -157,9 +157,9 @@ func copyProtoValuesToArrowArray(builder array.Builder, values []*types.Value) e for _, v := range list.GetDoubleListVal().GetVal() { valueBuilder.Append(v) } - case *array.Time64Builder: + case *array.Time32Builder: for _, v := range list.GetUnixTimestampListVal().GetVal() { - valueBuilder.Append(arrow.Time64(v)) + valueBuilder.Append(arrow.Time32(v)) } } } @@ -227,10 +227,10 @@ func ArrowValuesToProtoValues(arr arrow.Array) ([]*types.Value, error) { } values = append(values, &types.Value{Val: &types.Value_BoolListVal{BoolListVal: &types.BoolList{Val: vals}}}) - case arrow.FixedWidthTypes.Time64ns: + case arrow.FixedWidthTypes.Time32s: vals := make([]int64, int(offsets[idx])-pos) for j := pos; j < int(offsets[idx]); j++ { - vals[j-pos] = int64(listValues.(*array.Time64).Value(j)) + vals[j-pos] = int64(listValues.(*array.Time32).Value(j)) } values = append(values, @@ -278,11 +278,11 @@ func ArrowValuesToProtoValues(arr arrow.Array) ([]*types.Value, error) { values = append(values, &types.Value{Val: &types.Value_StringVal{StringVal: arr.(*array.String).Value(idx)}}) } - case arrow.FixedWidthTypes.Time64ns: + case arrow.FixedWidthTypes.Time32s: for idx := 0; idx < arr.Len(); idx++ { values = append(values, &types.Value{Val: &types.Value_UnixTimestampVal{ - UnixTimestampVal: int64(arr.(*array.Time64).Value(idx))}}) + UnixTimestampVal: int64(arr.(*array.Time32).Value(idx))}}) } default: return nil, fmt.Errorf("unsupported arrow to proto conversion for type %s", arr.DataType()) diff --git a/sdk/python/feast/embedded_go/online_features_service.py b/sdk/python/feast/embedded_go/online_features_service.py index e2da2dfbd8f..a007cf82727 100644 --- a/sdk/python/feast/embedded_go/online_features_service.py +++ b/sdk/python/feast/embedded_go/online_features_service.py @@ -31,7 +31,7 @@ pa.bool_(): "bool_val", pa.string(): "string_val", pa.binary(): "bytes_val", - pa.time64("ns"): "unix_timestamp_val", + pa.time32("s"): "unix_timestamp_val", } ARROW_LIST_TYPE_TO_PROTO_FIELD = { @@ -42,7 +42,7 @@ pa.bool_(): "bool_list_val", pa.string(): "string_list_val", pa.binary(): "bytes_list_val", - pa.time64("ns"): "unix_timestamp_list_val", + pa.time32("s"): "unix_timestamp_list_val", } ARROW_LIST_TYPE_TO_PROTO_LIST_CLASS = { @@ -53,7 +53,7 @@ pa.bool_(): Value_pb2.BoolList, pa.string(): Value_pb2.StringList, pa.binary(): Value_pb2.BytesList, - pa.time64("ns"): Value_pb2.Int64List, + pa.time32("s"): Value_pb2.Int64List, } # used for entity types only @@ -270,8 +270,8 @@ def record_batch_to_online_response(record_batch): proto_field_name = ARROW_LIST_TYPE_TO_PROTO_FIELD[field.type.value_type] column = record_batch.columns[idx] - if field.type.value_type == pa.time64("ns"): - column = column.cast(pa.list_(pa.int64())) + if field.type.value_type == pa.time32("s"): + column = column.cast(pa.list_(pa.int32())) for v in column.tolist(): feature_vector.values.append( @@ -281,8 +281,8 @@ def record_batch_to_online_response(record_batch): proto_field_name = ARROW_TYPE_TO_PROTO_FIELD[field.type] column = record_batch.columns[idx] - if field.type == pa.time64("ns"): - column = column.cast(pa.int64()) + if field.type == pa.time32("s"): + column = column.cast(pa.int32()) for v in column.tolist(): feature_vector.values.append( From c4396118a99392a7b284b635b80486c94e0c86c8 Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Thu, 21 Apr 2022 21:07:49 +0300 Subject: [PATCH 28/87] fix: Use timestamp type when converting unixtimestamp feature type to arrow (#2593) * use timestamp Signed-off-by: pyalex * add timezone to type definition Signed-off-by: pyalex --- go/types/typeconversion.go | 24 ++--- .../embedded_go/online_features_service.py | 80 ++--------------- sdk/python/feast/embedded_go/type_map.py | 88 +++++++++++++++++++ 3 files changed, 109 insertions(+), 83 deletions(-) create mode 100644 sdk/python/feast/embedded_go/type_map.py diff --git a/go/types/typeconversion.go b/go/types/typeconversion.go index f42356b4544..416eb2ac273 100644 --- a/go/types/typeconversion.go +++ b/go/types/typeconversion.go @@ -40,9 +40,9 @@ func ProtoTypeToArrowType(sample *types.Value) (arrow.DataType, error) { case *types.Value_DoubleListVal: return arrow.ListOf(arrow.PrimitiveTypes.Float64), nil case *types.Value_UnixTimestampVal: - return arrow.FixedWidthTypes.Time32s, nil + return arrow.FixedWidthTypes.Timestamp_s, nil case *types.Value_UnixTimestampListVal: - return arrow.ListOf(arrow.FixedWidthTypes.Time32s), nil + return arrow.ListOf(arrow.FixedWidthTypes.Timestamp_s), nil default: return nil, fmt.Errorf("unsupported proto type in proto to arrow conversion: %s", sample.Val) @@ -80,9 +80,9 @@ func ValueTypeEnumToArrowType(t types.ValueType_Enum) (arrow.DataType, error) { case types.ValueType_DOUBLE_LIST: return arrow.ListOf(arrow.PrimitiveTypes.Float64), nil case types.ValueType_UNIX_TIMESTAMP: - return arrow.FixedWidthTypes.Time32s, nil + return arrow.FixedWidthTypes.Timestamp_s, nil case types.ValueType_UNIX_TIMESTAMP_LIST: - return arrow.ListOf(arrow.FixedWidthTypes.Time32s), nil + return arrow.ListOf(arrow.FixedWidthTypes.Timestamp_s), nil default: return nil, fmt.Errorf("unsupported value type enum in enum to arrow type conversion: %s", t) @@ -119,9 +119,9 @@ func copyProtoValuesToArrowArray(builder array.Builder, values []*types.Value) e for _, v := range values { fieldBuilder.Append(v.GetDoubleVal()) } - case *array.Time32Builder: + case *array.TimestampBuilder: for _, v := range values { - fieldBuilder.Append(arrow.Time32(v.GetUnixTimestampVal())) + fieldBuilder.Append(arrow.Timestamp(v.GetUnixTimestampVal())) } case *array.ListBuilder: for _, list := range values { @@ -157,9 +157,9 @@ func copyProtoValuesToArrowArray(builder array.Builder, values []*types.Value) e for _, v := range list.GetDoubleListVal().GetVal() { valueBuilder.Append(v) } - case *array.Time32Builder: + case *array.TimestampBuilder: for _, v := range list.GetUnixTimestampListVal().GetVal() { - valueBuilder.Append(arrow.Time32(v)) + valueBuilder.Append(arrow.Timestamp(v)) } } } @@ -227,10 +227,10 @@ func ArrowValuesToProtoValues(arr arrow.Array) ([]*types.Value, error) { } values = append(values, &types.Value{Val: &types.Value_BoolListVal{BoolListVal: &types.BoolList{Val: vals}}}) - case arrow.FixedWidthTypes.Time32s: + case arrow.FixedWidthTypes.Timestamp_s: vals := make([]int64, int(offsets[idx])-pos) for j := pos; j < int(offsets[idx]); j++ { - vals[j-pos] = int64(listValues.(*array.Time32).Value(j)) + vals[j-pos] = int64(listValues.(*array.Timestamp).Value(j)) } values = append(values, @@ -278,11 +278,11 @@ func ArrowValuesToProtoValues(arr arrow.Array) ([]*types.Value, error) { values = append(values, &types.Value{Val: &types.Value_StringVal{StringVal: arr.(*array.String).Value(idx)}}) } - case arrow.FixedWidthTypes.Time32s: + case arrow.FixedWidthTypes.Timestamp_s: for idx := 0; idx < arr.Len(); idx++ { values = append(values, &types.Value{Val: &types.Value_UnixTimestampVal{ - UnixTimestampVal: int64(arr.(*array.Time32).Value(idx))}}) + UnixTimestampVal: int64(arr.(*array.Timestamp).Value(idx))}}) } default: return nil, fmt.Errorf("unsupported arrow to proto conversion for type %s", arr.DataType()) diff --git a/sdk/python/feast/embedded_go/online_features_service.py b/sdk/python/feast/embedded_go/online_features_service.py index a007cf82727..410af1d8feb 100644 --- a/sdk/python/feast/embedded_go/online_features_service.py +++ b/sdk/python/feast/embedded_go/online_features_service.py @@ -14,59 +14,17 @@ from feast.protos.feast.serving.ServingService_pb2 import GetOnlineFeaturesResponse from feast.protos.feast.types import Value_pb2 from feast.repo_config import RepoConfig +from feast.types import from_value_type from feast.value_type import ValueType from .lib.embedded import DataTable, NewOnlineFeatureService, OnlineFeatureServiceConfig from .lib.go import Slice_string +from .type_map import FEAST_TYPE_TO_ARROW_TYPE, arrow_array_to_array_of_proto if TYPE_CHECKING: from feast.feature_store import FeatureStore -ARROW_TYPE_TO_PROTO_FIELD = { - pa.int32(): "int32_val", - pa.int64(): "int64_val", - pa.float32(): "float_val", - pa.float64(): "double_val", - pa.bool_(): "bool_val", - pa.string(): "string_val", - pa.binary(): "bytes_val", - pa.time32("s"): "unix_timestamp_val", -} - -ARROW_LIST_TYPE_TO_PROTO_FIELD = { - pa.int32(): "int32_list_val", - pa.int64(): "int64_list_val", - pa.float32(): "float_list_val", - pa.float64(): "double_list_val", - pa.bool_(): "bool_list_val", - pa.string(): "string_list_val", - pa.binary(): "bytes_list_val", - pa.time32("s"): "unix_timestamp_list_val", -} - -ARROW_LIST_TYPE_TO_PROTO_LIST_CLASS = { - pa.int32(): Value_pb2.Int32List, - pa.int64(): Value_pb2.Int64List, - pa.float32(): Value_pb2.FloatList, - pa.float64(): Value_pb2.DoubleList, - pa.bool_(): Value_pb2.BoolList, - pa.string(): Value_pb2.StringList, - pa.binary(): Value_pb2.BytesList, - pa.time32("s"): Value_pb2.Int64List, -} - -# used for entity types only -PROTO_TYPE_TO_ARROW_TYPE = { - ValueType.INT32: pa.int32(), - ValueType.INT64: pa.int64(), - ValueType.FLOAT: pa.float32(), - ValueType.DOUBLE: pa.float64(), - ValueType.STRING: pa.string(), - ValueType.BYTES: pa.binary(), -} - - class EmbeddedOnlineFeatureServer: def __init__( self, repo_path: str, repo_config: RepoConfig, feature_store: "FeatureStore" @@ -179,8 +137,10 @@ def _to_arrow(value, type_hint: Optional[ValueType]) -> pa.Array: if isinstance(value, Value_pb2.RepeatedValue): _proto_to_arrow(value) - if type_hint in PROTO_TYPE_TO_ARROW_TYPE: - return pa.array(value, PROTO_TYPE_TO_ARROW_TYPE[type_hint]) + if type_hint: + feast_type = from_value_type(type_hint) + if feast_type in FEAST_TYPE_TO_ARROW_TYPE: + return pa.array(value, FEAST_TYPE_TO_ARROW_TYPE[feast_type]) return pa.array(value) @@ -263,31 +223,9 @@ def record_batch_to_online_response(record_batch): [Value_pb2.Value()] * len(record_batch.columns[idx]) ) else: - if isinstance(field.type, pa.ListType): - proto_list_class = ARROW_LIST_TYPE_TO_PROTO_LIST_CLASS[ - field.type.value_type - ] - proto_field_name = ARROW_LIST_TYPE_TO_PROTO_FIELD[field.type.value_type] - - column = record_batch.columns[idx] - if field.type.value_type == pa.time32("s"): - column = column.cast(pa.list_(pa.int32())) - - for v in column.tolist(): - feature_vector.values.append( - Value_pb2.Value(**{proto_field_name: proto_list_class(val=v)}) - ) - else: - proto_field_name = ARROW_TYPE_TO_PROTO_FIELD[field.type] - - column = record_batch.columns[idx] - if field.type == pa.time32("s"): - column = column.cast(pa.int32()) - - for v in column.tolist(): - feature_vector.values.append( - Value_pb2.Value(**{proto_field_name: v}) - ) + feature_vector.values.extend( + arrow_array_to_array_of_proto(field.type, record_batch.columns[idx]) + ) resp.results.append(feature_vector) resp.metadata.feature_names.val.append(field.name) diff --git a/sdk/python/feast/embedded_go/type_map.py b/sdk/python/feast/embedded_go/type_map.py new file mode 100644 index 00000000000..e70dc3be865 --- /dev/null +++ b/sdk/python/feast/embedded_go/type_map.py @@ -0,0 +1,88 @@ +from typing import List + +import pyarrow as pa +import pytz + +from feast.protos.feast.types import Value_pb2 +from feast.types import Array, PrimitiveFeastType + +PA_TIMESTAMP_TYPE = pa.timestamp("s", tz=pytz.UTC) + +ARROW_TYPE_TO_PROTO_FIELD = { + pa.int32(): "int32_val", + pa.int64(): "int64_val", + pa.float32(): "float_val", + pa.float64(): "double_val", + pa.bool_(): "bool_val", + pa.string(): "string_val", + pa.binary(): "bytes_val", + PA_TIMESTAMP_TYPE: "unix_timestamp_val", +} + +ARROW_LIST_TYPE_TO_PROTO_FIELD = { + pa.int32(): "int32_list_val", + pa.int64(): "int64_list_val", + pa.float32(): "float_list_val", + pa.float64(): "double_list_val", + pa.bool_(): "bool_list_val", + pa.string(): "string_list_val", + pa.binary(): "bytes_list_val", + PA_TIMESTAMP_TYPE: "unix_timestamp_list_val", +} + +ARROW_LIST_TYPE_TO_PROTO_LIST_CLASS = { + pa.int32(): Value_pb2.Int32List, + pa.int64(): Value_pb2.Int64List, + pa.float32(): Value_pb2.FloatList, + pa.float64(): Value_pb2.DoubleList, + pa.bool_(): Value_pb2.BoolList, + pa.string(): Value_pb2.StringList, + pa.binary(): Value_pb2.BytesList, + PA_TIMESTAMP_TYPE: Value_pb2.Int64List, +} + +FEAST_TYPE_TO_ARROW_TYPE = { + PrimitiveFeastType.INT32: pa.int32(), + PrimitiveFeastType.INT64: pa.int64(), + PrimitiveFeastType.FLOAT32: pa.float32(), + PrimitiveFeastType.FLOAT64: pa.float64(), + PrimitiveFeastType.STRING: pa.string(), + PrimitiveFeastType.BYTES: pa.binary(), + PrimitiveFeastType.BOOL: pa.bool_(), + PrimitiveFeastType.UNIX_TIMESTAMP: pa.timestamp("s"), + Array(PrimitiveFeastType.INT32): pa.list_(pa.int32()), + Array(PrimitiveFeastType.INT64): pa.list_(pa.int64()), + Array(PrimitiveFeastType.FLOAT32): pa.list_(pa.float32()), + Array(PrimitiveFeastType.FLOAT64): pa.list_(pa.float64()), + Array(PrimitiveFeastType.STRING): pa.list_(pa.string()), + Array(PrimitiveFeastType.BYTES): pa.list_(pa.binary()), + Array(PrimitiveFeastType.BOOL): pa.list_(pa.bool_()), + Array(PrimitiveFeastType.UNIX_TIMESTAMP): pa.list_(pa.timestamp("s")), +} + + +def arrow_array_to_array_of_proto( + arrow_type: pa.DataType, arrow_array: pa.Array +) -> List[Value_pb2.Value]: + values = [] + if isinstance(arrow_type, pa.ListType): + proto_list_class = ARROW_LIST_TYPE_TO_PROTO_LIST_CLASS[arrow_type.value_type] + proto_field_name = ARROW_LIST_TYPE_TO_PROTO_FIELD[arrow_type.value_type] + + if arrow_type.value_type == PA_TIMESTAMP_TYPE: + arrow_array = arrow_array.cast(pa.list_(pa.int64())) + + for v in arrow_array.tolist(): + values.append( + Value_pb2.Value(**{proto_field_name: proto_list_class(val=v)}) + ) + else: + proto_field_name = ARROW_TYPE_TO_PROTO_FIELD[arrow_type] + + if arrow_type == PA_TIMESTAMP_TYPE: + arrow_array = arrow_array.cast(pa.int64()) + + for v in arrow_array.tolist(): + values.append(Value_pb2.Value(**{proto_field_name: v})) + + return values From 4606d7cc2d178ec44646d8f7fc323241386b2668 Mon Sep 17 00:00:00 2001 From: Miguel Trejo Marrufo <49818188+TremaMiguel@users.noreply.github.com> Date: Fri, 22 Apr 2022 12:22:03 -0500 Subject: [PATCH 29/87] test: DynamodbOnlineStore public methods unit tests suite (#2571) * test: DynamoDBOnlineStore online_write_batch unit test Signed-off-by: Miguel Trejo * test: DynamoDBOnlineStore teardown unit test Signed-off-by: Miguel Trejo * test: DynamoDBOnlineStore update unit test Signed-off-by: Miguel Trejo * refactor: used fixture variable directly Signed-off-by: Miguel Trejo * refactor: consistency in test names Signed-off-by: Miguel Trejo * fix test errors Signed-off-by: Miguel Trejo * mock all tests Signed-off-by: Miguel Trejo --- .../test_dynamodb_online_store.py | 135 +++++++++++++++--- 1 file changed, 112 insertions(+), 23 deletions(-) diff --git a/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py b/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py index e1be890e578..fa2bb7601b2 100644 --- a/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py +++ b/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py @@ -43,7 +43,12 @@ def repo_config(): ) -def test_online_store_config_default(): +@pytest.fixture +def dynamodb_online_store(): + return DynamoDBOnlineStore() + + +def test_dynamodb_online_store_config_default(): """Test DynamoDBOnlineStoreConfig default parameters.""" aws_region = "us-west-2" dynamodb_store_config = DynamoDBOnlineStoreConfig(region=aws_region) @@ -66,7 +71,7 @@ def test_dynamodb_table_default_params(): assert dynamodb_table._dynamodb_resource is None -def test_online_store_config_custom_params(): +def test_dynamodb_online_store_config_custom_params(): """Test DynamoDBOnlineStoreConfig custom parameters.""" aws_region = "us-west-2" batch_size = 20 @@ -98,15 +103,14 @@ def test_dynamodb_table_custom_params(): assert dynamodb_table._dynamodb_resource is None -def test_online_store_config_dynamodb_client(): +def test_dynamodb_online_store_config_dynamodb_client(dynamodb_online_store): """Test DynamoDBOnlineStoreConfig configure DynamoDB client with endpoint_url.""" aws_region = "us-west-2" endpoint_url = "http://localhost:8000" - dynamodb_store = DynamoDBOnlineStore() dynamodb_store_config = DynamoDBOnlineStoreConfig( region=aws_region, endpoint_url=endpoint_url ) - dynamodb_client = dynamodb_store._get_dynamodb_client( + dynamodb_client = dynamodb_online_store._get_dynamodb_client( dynamodb_store_config.region, dynamodb_store_config.endpoint_url ) assert dynamodb_client.meta.region_name == aws_region @@ -126,15 +130,14 @@ def test_dynamodb_table_dynamodb_client(): assert dynamodb_client.meta.endpoint_url == endpoint_url -def test_online_store_config_dynamodb_resource(): +def test_dynamodb_online_store_config_dynamodb_resource(dynamodb_online_store): """Test DynamoDBOnlineStoreConfig configure DynamoDB Resource with endpoint_url.""" aws_region = "us-west-2" endpoint_url = "http://localhost:8000" - dynamodb_store = DynamoDBOnlineStore() dynamodb_store_config = DynamoDBOnlineStoreConfig( region=aws_region, endpoint_url=endpoint_url ) - dynamodb_resource = dynamodb_store._get_dynamodb_resource( + dynamodb_resource = dynamodb_online_store._get_dynamodb_resource( dynamodb_store_config.region, dynamodb_store_config.endpoint_url ) assert dynamodb_resource.meta.client.meta.region_name == aws_region @@ -156,17 +159,19 @@ def test_dynamodb_table_dynamodb_resource(): @mock_dynamodb2 @pytest.mark.parametrize("n_samples", [5, 50, 100]) -def test_online_read(repo_config, n_samples): +def test_dynamodb_online_store_online_read( + repo_config, dynamodb_online_store, n_samples +): """Test DynamoDBOnlineStore online_read method.""" - _create_test_table(PROJECT, f"{TABLE_NAME}_{n_samples}", REGION) + db_table_name = f"{TABLE_NAME}_online_read_{n_samples}" + _create_test_table(PROJECT, db_table_name, REGION) data = _create_n_customer_test_samples(n=n_samples) - _insert_data_test_table(data, PROJECT, f"{TABLE_NAME}_{n_samples}", REGION) + _insert_data_test_table(data, PROJECT, db_table_name, REGION) entity_keys, features, *rest = zip(*data) - dynamodb_store = DynamoDBOnlineStore() - returned_items = dynamodb_store.online_read( + returned_items = dynamodb_online_store.online_read( config=repo_config, - table=MockFeatureView(name=f"{TABLE_NAME}_{n_samples}"), + table=MockFeatureView(name=db_table_name), entity_keys=entity_keys, ) assert len(returned_items) == len(data) @@ -174,18 +179,103 @@ def test_online_read(repo_config, n_samples): @mock_dynamodb2 -def test_online_read_unknown_entity(repo_config): +@pytest.mark.parametrize("n_samples", [5, 50, 100]) +def test_dynamodb_online_store_online_write_batch( + repo_config, dynamodb_online_store, n_samples +): + """Test DynamoDBOnlineStore online_write_batch method.""" + db_table_name = f"{TABLE_NAME}_online_write_batch_{n_samples}" + _create_test_table(PROJECT, db_table_name, REGION) + data = _create_n_customer_test_samples() + + entity_keys, features, *rest = zip(*data) + dynamodb_online_store.online_write_batch( + config=repo_config, + table=MockFeatureView(name=db_table_name), + data=data, + progress=None, + ) + stored_items = dynamodb_online_store.online_read( + config=repo_config, + table=MockFeatureView(name=db_table_name), + entity_keys=entity_keys, + ) + assert stored_items is not None + assert len(stored_items) == len(data) + assert [item[1] for item in stored_items] == list(features) + + +@mock_dynamodb2 +def test_dynamodb_online_store_update(repo_config, dynamodb_online_store): + """Test DynamoDBOnlineStore update method.""" + # create dummy table to keep + db_table_keep_name = f"{TABLE_NAME}_keep_update" + _create_test_table(PROJECT, db_table_keep_name, REGION) + # create dummy table to delete + db_table_delete_name = f"{TABLE_NAME}_delete_update" + _create_test_table(PROJECT, db_table_delete_name, REGION) + + dynamodb_online_store.update( + config=repo_config, + tables_to_delete=[MockFeatureView(name=db_table_delete_name)], + tables_to_keep=[MockFeatureView(name=db_table_keep_name)], + entities_to_delete=None, + entities_to_keep=None, + partial=None, + ) + + # check only db_table_keep_name exists + dynamodb_client = dynamodb_online_store._get_dynamodb_client(REGION) + existing_tables = dynamodb_client.list_tables() + existing_tables = existing_tables.get("TableNames", None) + + assert existing_tables is not None + assert len(existing_tables) == 1 + assert existing_tables[0] == f"test_aws.{db_table_keep_name}" + + +@mock_dynamodb2 +def test_dynamodb_online_store_teardown(repo_config, dynamodb_online_store): + """Test DynamoDBOnlineStore teardown method.""" + db_table_delete_name_one = f"{TABLE_NAME}_delete_teardown_1" + db_table_delete_name_two = f"{TABLE_NAME}_delete_teardown_2" + _create_test_table(PROJECT, db_table_delete_name_one, REGION) + _create_test_table(PROJECT, db_table_delete_name_two, REGION) + + dynamodb_online_store.teardown( + config=repo_config, + tables=[ + MockFeatureView(name=db_table_delete_name_one), + MockFeatureView(name=db_table_delete_name_two), + ], + entities=None, + ) + + # Check tables non exist + dynamodb_client = dynamodb_online_store._get_dynamodb_client(REGION) + existing_tables = dynamodb_client.list_tables() + existing_tables = existing_tables.get("TableNames", None) + + assert existing_tables is not None + assert len(existing_tables) == 0 + + +@mock_dynamodb2 +def test_dynamodb_online_store_online_read_unknown_entity( + repo_config, dynamodb_online_store +): """Test DynamoDBOnlineStore online_read method.""" n_samples = 2 - _create_test_table(PROJECT, f"{TABLE_NAME}_{n_samples}", REGION) + _create_test_table(PROJECT, f"{TABLE_NAME}_unknown_entity_{n_samples}", REGION) data = _create_n_customer_test_samples(n=n_samples) - _insert_data_test_table(data, PROJECT, f"{TABLE_NAME}_{n_samples}", REGION) + _insert_data_test_table( + data, PROJECT, f"{TABLE_NAME}_unknown_entity_{n_samples}", REGION + ) entity_keys, features, *rest = zip(*data) # Append a nonsensical entity to search for entity_keys = list(entity_keys) features = list(features) - dynamodb_store = DynamoDBOnlineStore() # Have the unknown entity be in the beginning, middle, and end of the list of entities. for pos in range(len(entity_keys)): @@ -198,9 +288,9 @@ def test_online_read_unknown_entity(repo_config): ) features_with_none = deepcopy(features) features_with_none.insert(pos, None) - returned_items = dynamodb_store.online_read( + returned_items = dynamodb_online_store.online_read( config=repo_config, - table=MockFeatureView(name=f"{TABLE_NAME}_{n_samples}"), + table=MockFeatureView(name=f"{TABLE_NAME}_unknown_entity_{n_samples}"), entity_keys=entity_keys_with_unknown, ) assert len(returned_items) == len(entity_keys_with_unknown) @@ -210,7 +300,7 @@ def test_online_read_unknown_entity(repo_config): @mock_dynamodb2 -def test_write_batch_non_duplicates(repo_config): +def test_write_batch_non_duplicates(repo_config, dynamodb_online_store): """Test DynamoDBOnline Store deduplicate write batch request items.""" dynamodb_tbl = f"{TABLE_NAME}_batch_non_duplicates" _create_test_table(PROJECT, dynamodb_tbl, REGION) @@ -218,9 +308,8 @@ def test_write_batch_non_duplicates(repo_config): data_duplicate = deepcopy(data) dynamodb_resource = boto3.resource("dynamodb", region_name=REGION) table_instance = dynamodb_resource.Table(f"{PROJECT}.{dynamodb_tbl}") - dynamodb_store = DynamoDBOnlineStore() # Insert duplicate data - dynamodb_store._write_batch_non_duplicates( + dynamodb_online_store._write_batch_non_duplicates( table_instance, data + data_duplicate, progress=None ) # Request more items than inserted From 38cd7f9ec3d4bf8d81f7f5d65110529b646ba09f Mon Sep 17 00:00:00 2001 From: Kevin Zhang Date: Fri, 22 Apr 2022 12:57:04 -0700 Subject: [PATCH 30/87] fix: Update on demand feature view api (#2587) * Migrate over Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * temp fix Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix import Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix integration tests Signed-off-by: Kevin Zhang * Fix integration tests Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * lilnt Signed-off-by: Kevin Zhang * Fix lint? Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang --- .../validating-historical-features.md | 10 +- .../java-demo/feature_repo/driver_repo.py | 12 +- sdk/python/feast/__init__.py | 4 + sdk/python/feast/feature_view.py | 3 +- sdk/python/feast/on_demand_feature_view.py | 152 +++++++++++++----- .../feature_repos/repo_configuration.py | 9 +- .../feature_repos/universal/feature_views.py | 38 +++++ .../registration/test_inference.py | 8 +- .../integration/registration/test_registry.py | 4 +- .../test_universal_odfv_feature_inference.py | 24 +-- .../tests/unit/test_on_demand_feature_view.py | 68 +++++++- 11 files changed, 255 insertions(+), 77 deletions(-) diff --git a/docs/tutorials/validating-historical-features.md b/docs/tutorials/validating-historical-features.md index addd309902a..70be38eced2 100644 --- a/docs/tutorials/validating-historical-features.md +++ b/docs/tutorials/validating-historical-features.md @@ -107,7 +107,7 @@ pyarrow.parquet.write_table(entities_2019_table, "entities.parquet") import pyarrow.parquet import pandas as pd -from feast import FeatureView, Entity, FeatureStore, Field +from feast import FeatureView, Entity, FeatureStore, Field, BatchFeatureView from feast.types import Float64, Int64 from feast.value_type import ValueType from feast.data_format import ParquetFormat @@ -134,7 +134,7 @@ taxi_entity = Entity(name='taxi', join_keys=['taxi_id']) ```python -trips_stats_fv = FeatureView( +trips_stats_fv = BatchFeatureView( name='trip_stats', entities=['taxi'], features=[ @@ -160,9 +160,9 @@ trips_stats_fv = FeatureView( Field("avg_trip_seconds", Float64), Field("earned_per_hour", Float64), ], - sources={ - "stats": trips_stats_fv - } + sources=[ + trips_stats_fv, + ] ) def on_demand_stats(inp): out = pd.DataFrame() diff --git a/examples/java-demo/feature_repo/driver_repo.py b/examples/java-demo/feature_repo/driver_repo.py index ce9469647f6..c9bdc7ce770 100644 --- a/examples/java-demo/feature_repo/driver_repo.py +++ b/examples/java-demo/feature_repo/driver_repo.py @@ -7,7 +7,7 @@ from google.protobuf.duration_pb2 import Duration from feast.field import Field -from feast import Entity, Feature, FeatureView, FileSource, ValueType +from feast import Entity, Feature, BatchFeatureView, FileSource, ValueType driver_hourly_stats = FileSource( path="data/driver_stats_with_string.parquet", @@ -15,7 +15,7 @@ created_timestamp_column="created", ) driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id",) -driver_hourly_stats_view = FeatureView( +driver_hourly_stats_view = BatchFeatureView( name="driver_hourly_stats", entities=["driver_id"], ttl=Duration(seconds=86400000), @@ -43,10 +43,10 @@ # Define an on demand feature view which can generate new features based on # existing feature views and RequestSource features @on_demand_feature_view( - inputs={ - "driver_hourly_stats": driver_hourly_stats_view, - "vals_to_add": input_request, - }, + inputs=[ + driver_hourly_stats_view, + input_request, + ], schema=[ Field(name="conv_rate_plus_val1", dtype=Float64), Field(name="conv_rate_plus_val2", dtype=Float64), diff --git a/sdk/python/feast/__init__.py b/sdk/python/feast/__init__.py index 5127e03b560..62cc52215c9 100644 --- a/sdk/python/feast/__init__.py +++ b/sdk/python/feast/__init__.py @@ -7,6 +7,7 @@ from feast.infra.offline_stores.redshift_source import RedshiftSource from feast.infra.offline_stores.snowflake_source import SnowflakeSource +from .batch_feature_view import BatchFeatureView from .data_source import ( KafkaSource, KinesisSource, @@ -23,6 +24,7 @@ from .on_demand_feature_view import OnDemandFeatureView from .repo_config import RepoConfig from .request_feature_view import RequestFeatureView +from .stream_feature_view import StreamFeatureView from .value_type import ValueType logging.basicConfig( @@ -38,6 +40,7 @@ pass __all__ = [ + "BatchFeatureView", "Entity", "KafkaSource", "KinesisSource", @@ -49,6 +52,7 @@ "OnDemandFeatureView", "RepoConfig", "SourceType", + "StreamFeatureView", "ValueType", "BigQuerySource", "FileSource", diff --git a/sdk/python/feast/feature_view.py b/sdk/python/feast/feature_view.py index 7060870780b..65a4914a8f7 100644 --- a/sdk/python/feast/feature_view.py +++ b/sdk/python/feast/feature_view.py @@ -439,8 +439,9 @@ def from_proto(cls, feature_view_proto: FeatureViewProto): else feature_view_proto.spec.ttl.ToTimedelta() ), source=batch_source, - stream_source=stream_source, ) + if stream_source: + feature_view.stream_source = stream_source # FeatureViewProjections are not saved in the FeatureView proto. # Create the default projection. diff --git a/sdk/python/feast/on_demand_feature_view.py b/sdk/python/feast/on_demand_feature_view.py index a807f3b4a40..d2cec18e520 100644 --- a/sdk/python/feast/on_demand_feature_view.py +++ b/sdk/python/feast/on_demand_feature_view.py @@ -8,6 +8,7 @@ import pandas as pd from feast.base_feature_view import BaseFeatureView +from feast.batch_feature_view import BatchFeatureView from feast.data_source import RequestSource from feast.errors import RegistryInferenceFailure, SpecifiedFeaturesNotPresentError from feast.feature import Feature @@ -25,6 +26,7 @@ from feast.protos.feast.core.OnDemandFeatureView_pb2 import ( UserDefinedFunction as UserDefinedFunctionProto, ) +from feast.stream_feature_view import StreamFeatureView from feast.type_map import ( feast_value_type_to_pandas_type, python_type_to_feast_value_type, @@ -66,14 +68,21 @@ class OnDemandFeatureView(BaseFeatureView): tags: Dict[str, str] owner: str - @log_exceptions - def __init__( + @log_exceptions # noqa: C901 + def __init__( # noqa: C901 self, *args, name: Optional[str] = None, features: Optional[List[Feature]] = None, sources: Optional[ - Dict[str, Union[FeatureView, FeatureViewProjection, RequestSource]] + List[ + Union[ + BatchFeatureView, + StreamFeatureView, + RequestSource, + FeatureViewProjection, + ] + ] ] = None, udf: Optional[MethodType] = None, inputs: Optional[ @@ -92,11 +101,11 @@ def __init__( features (deprecated): The list of features in the output of the on demand feature view, after the transformation has been applied. sources (optional): A map from input source names to the actual input sources, - which may be feature views, feature view projections, or request data sources. + which may be feature views, or request data sources. These sources serve as inputs to the udf, which will refer to them by name. udf (optional): The user defined transformation function, which must take pandas dataframes as inputs. - inputs (optional): A map from input source names to the actual input sources, + inputs (optional): (Deprecated) A map from input source names to the actual input sources, which may be feature views, feature view projections, or request data sources. These sources serve as inputs to the udf, which will refer to them by name. schema (optional): The list of features in the output of the on demand feature @@ -123,8 +132,7 @@ def __init__( ), DeprecationWarning, ) - - _sources = sources or inputs + _sources = sources or [] if inputs and sources: raise ValueError("At most one of `sources` or `inputs` can be specified.") elif inputs: @@ -135,7 +143,17 @@ def __init__( ), DeprecationWarning, ) - + for _, source in inputs.items(): + if isinstance(source, FeatureView): + _sources.append(feature_view_to_batch_feature_view(source)) + elif isinstance(source, RequestSource) or isinstance( + source, FeatureViewProjection + ): + _sources.append(source) + else: + raise ValueError( + "input can only accept FeatureView, FeatureViewProjection, or RequestSource" + ) _udf = udf if args: @@ -169,7 +187,18 @@ def __init__( DeprecationWarning, ) if len(args) >= 3: - _sources = args[2] + _inputs = args[2] + for _, source in _inputs.items(): + if isinstance(source, FeatureView): + _sources.append(feature_view_to_batch_feature_view(source)) + elif isinstance(source, RequestSource) or isinstance( + source, FeatureViewProjection + ): + _sources.append(source) + else: + raise ValueError( + "input can only accept FeatureView, FeatureViewProjection, or RequestSource" + ) warnings.warn( ( "The `inputs` parameter is being deprecated. Please use `sources` instead. " @@ -195,18 +224,17 @@ def __init__( tags=tags, owner=owner, ) - assert _sources is not None self.source_feature_view_projections: Dict[str, FeatureViewProjection] = {} self.source_request_sources: Dict[str, RequestSource] = {} - for source_name, odfv_source in _sources.items(): + for odfv_source in _sources: if isinstance(odfv_source, RequestSource): - self.source_request_sources[source_name] = odfv_source + self.source_request_sources[odfv_source.name] = odfv_source elif isinstance(odfv_source, FeatureViewProjection): - self.source_feature_view_projections[source_name] = odfv_source + self.source_feature_view_projections[odfv_source.name] = odfv_source else: self.source_feature_view_projections[ - source_name + odfv_source.name ] = odfv_source.projection if _udf is None: @@ -219,12 +247,12 @@ def proto_class(self) -> Type[OnDemandFeatureViewProto]: return OnDemandFeatureViewProto def __copy__(self): + fv = OnDemandFeatureView( name=self.name, schema=self.features, - sources=dict( - **self.source_feature_view_projections, **self.source_request_sources, - ), + sources=list(self.source_feature_view_projections.values()) + + list(self.source_request_sources.values()), udf=self.udf, description=self.description, tags=self.tags, @@ -302,22 +330,21 @@ def from_proto(cls, on_demand_feature_view_proto: OnDemandFeatureViewProto): Returns: A OnDemandFeatureView object based on the on-demand feature view protobuf. """ - sources = {} - for ( - source_name, - on_demand_source, - ) in on_demand_feature_view_proto.spec.sources.items(): + sources = [] + for (_, on_demand_source,) in on_demand_feature_view_proto.spec.sources.items(): if on_demand_source.WhichOneof("source") == "feature_view": - sources[source_name] = FeatureView.from_proto( - on_demand_source.feature_view - ).projection + sources.append( + FeatureView.from_proto(on_demand_source.feature_view).projection + ) elif on_demand_source.WhichOneof("source") == "feature_view_projection": - sources[source_name] = FeatureViewProjection.from_proto( - on_demand_source.feature_view_projection + sources.append( + FeatureViewProjection.from_proto( + on_demand_source.feature_view_projection + ) ) else: - sources[source_name] = RequestSource.from_proto( - on_demand_source.request_data_source + sources.append( + RequestSource.from_proto(on_demand_source.request_data_source) ) on_demand_feature_view_obj = cls( name=on_demand_feature_view_proto.spec.name, @@ -476,7 +503,16 @@ def get_requested_odfvs(feature_refs, project, registry): def on_demand_feature_view( *args, features: Optional[List[Feature]] = None, - sources: Optional[Dict[str, Union[FeatureView, RequestSource]]] = None, + sources: Optional[ + List[ + Union[ + BatchFeatureView, + StreamFeatureView, + RequestSource, + FeatureViewProjection, + ] + ] + ] = None, inputs: Optional[Dict[str, Union[FeatureView, RequestSource]]] = None, schema: Optional[List[Field]] = None, description: str = "", @@ -490,7 +526,7 @@ def on_demand_feature_view( features (deprecated): The list of features in the output of the on demand feature view, after the transformation has been applied. sources (optional): A map from input source names to the actual input sources, - which may be feature views, feature view projections, or request data sources. + which may be feature views, or request data sources. These sources serve as inputs to the udf, which will refer to them by name. inputs (optional): A map from input source names to the actual input sources, which may be feature views, feature view projections, or request data sources. @@ -517,8 +553,7 @@ def on_demand_feature_view( ), DeprecationWarning, ) - - _sources = sources or inputs + _sources = sources or [] if inputs and sources: raise ValueError("At most one of `sources` or `inputs` can be specified.") elif inputs: @@ -529,6 +564,17 @@ def on_demand_feature_view( ), DeprecationWarning, ) + for _, source in inputs.items(): + if isinstance(source, FeatureView): + _sources.append(feature_view_to_batch_feature_view(source)) + elif isinstance(source, RequestSource) or isinstance( + source, FeatureViewProjection + ): + _sources.append(source) + else: + raise ValueError( + "input can only accept FeatureView, FeatureViewProjection, or RequestSource" + ) if args: warnings.warn( @@ -559,14 +605,25 @@ def on_demand_feature_view( DeprecationWarning, ) if len(args) >= 2: - _sources = args[1] - warnings.warn( - ( - "The `inputs` parameter is being deprecated. Please use `sources` instead. " - "Feast 0.21 and onwards will not support the `inputs` parameter." - ), - DeprecationWarning, - ) + _inputs = args[1] + for _, source in _inputs.items(): + if isinstance(source, FeatureView): + _sources.append(feature_view_to_batch_feature_view(source)) + elif isinstance(source, RequestSource) or isinstance( + source, FeatureViewProjection + ): + _sources.append(source) + else: + raise ValueError( + "input can only accept FeatureView, FeatureViewProjection, or RequestSource" + ) + warnings.warn( + ( + "The `inputs` parameter is being deprecated. Please use `sources` instead. " + "Feast 0.21 and onwards will not support the `inputs` parameter." + ), + DeprecationWarning, + ) if not _sources: raise ValueError("The `sources` parameter must be specified.") @@ -587,3 +644,16 @@ def decorator(user_function): return on_demand_feature_view_obj return decorator + + +def feature_view_to_batch_feature_view(fv: FeatureView) -> BatchFeatureView: + return BatchFeatureView( + name=fv.name, + entities=fv.entities, + ttl=fv.ttl, + tags=fv.tags, + online=fv.online, + owner=fv.owner, + schema=fv.schema, + source=fv.source, + ) diff --git a/sdk/python/tests/integration/feature_repos/repo_configuration.py b/sdk/python/tests/integration/feature_repos/repo_configuration.py index 9902f7c7b8e..cc094a055aa 100644 --- a/sdk/python/tests/integration/feature_repos/repo_configuration.py +++ b/sdk/python/tests/integration/feature_repos/repo_configuration.py @@ -38,6 +38,7 @@ conv_rate_plus_100_feature_view, create_conv_rate_request_source, create_customer_daily_profile_feature_view, + create_driver_hourly_stats_batch_feature_view, create_driver_hourly_stats_feature_view, create_field_mapping_feature_view, create_global_stats_feature_view, @@ -311,15 +312,15 @@ def construct_universal_feature_views( data_sources: UniversalDataSources, with_odfv: bool = True, ) -> UniversalFeatureViews: driver_hourly_stats = create_driver_hourly_stats_feature_view(data_sources.driver) + driver_hourly_stats_base_feature_view = create_driver_hourly_stats_batch_feature_view( + data_sources.driver + ) return UniversalFeatureViews( customer=create_customer_daily_profile_feature_view(data_sources.customer), global_fv=create_global_stats_feature_view(data_sources.global_ds), driver=driver_hourly_stats, driver_odfv=conv_rate_plus_100_feature_view( - { - "driver": driver_hourly_stats, - "input_request": create_conv_rate_request_source(), - } + [driver_hourly_stats_base_feature_view, create_conv_rate_request_source()] ) if with_odfv else None, diff --git a/sdk/python/tests/integration/feature_repos/universal/feature_views.py b/sdk/python/tests/integration/feature_repos/universal/feature_views.py index a6786528e1f..26c2513995f 100644 --- a/sdk/python/tests/integration/feature_repos/universal/feature_views.py +++ b/sdk/python/tests/integration/feature_repos/universal/feature_views.py @@ -5,6 +5,7 @@ import pandas as pd from feast import ( + BatchFeatureView, Feature, FeatureView, Field, @@ -150,6 +151,24 @@ def create_item_embeddings_feature_view(source, infer_features: bool = False): return item_embeddings_feature_view +def create_item_embeddings_batch_feature_view( + source, infer_features: bool = False +) -> BatchFeatureView: + item_embeddings_feature_view = BatchFeatureView( + name="item_embeddings", + entities=["item"], + schema=None + if infer_features + else [ + Field(name="embedding_double", dtype=Array(Float64)), + Field(name="embedding_float", dtype=Array(Float32)), + ], + source=source, + ttl=timedelta(hours=2), + ) + return item_embeddings_feature_view + + def create_driver_hourly_stats_feature_view(source, infer_features: bool = False): driver_stats_feature_view = FeatureView( name="driver_stats", @@ -167,6 +186,25 @@ def create_driver_hourly_stats_feature_view(source, infer_features: bool = False return driver_stats_feature_view +def create_driver_hourly_stats_batch_feature_view( + source, infer_features: bool = False +) -> BatchFeatureView: + driver_stats_feature_view = BatchFeatureView( + name="driver_stats", + entities=["driver"], + schema=None + if infer_features + else [ + Field(name="conv_rate", dtype=Float32), + Field(name="acc_rate", dtype=Float32), + Field(name="avg_daily_trips", dtype=Int32), + ], + source=source, + ttl=timedelta(hours=2), + ) + return driver_stats_feature_view + + def create_customer_daily_profile_feature_view(source, infer_features: bool = False): customer_profile_feature_view = FeatureView( name="customer_profile", diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py index 6e9aff1f034..c6819ac3c0c 100644 --- a/sdk/python/tests/integration/registration/test_inference.py +++ b/sdk/python/tests/integration/registration/test_inference.py @@ -173,7 +173,7 @@ def test_on_demand_features_type_inference(): ) @on_demand_feature_view( - sources={"date_request": date_request}, + sources=[date_request], schema=[ Field(name="output", dtype=UnixTimestamp), Field(name="string_output", dtype=String), @@ -245,7 +245,7 @@ def test_datasource_inference(request_source_schema): Feature(name="output", dtype=ValueType.UNIX_TIMESTAMP), Feature(name="string_output", dtype=ValueType.STRING), ], - sources={"date_request": date_request}, + sources=[date_request], ) def test_view(features_df: pd.DataFrame) -> pd.DataFrame: data = pd.DataFrame() @@ -256,7 +256,7 @@ def test_view(features_df: pd.DataFrame) -> pd.DataFrame: test_view.infer_features() @on_demand_feature_view( - sources={"date_request": date_request}, + sources=[date_request], schema=[ Field(name="output", dtype=UnixTimestamp), Field(name="object_output", dtype=String), @@ -272,7 +272,7 @@ def invalid_test_view(features_df: pd.DataFrame) -> pd.DataFrame: invalid_test_view.infer_features() @on_demand_feature_view( - sources={"date_request": date_request}, + sources=[date_request], features=[ Feature(name="output", dtype=ValueType.UNIX_TIMESTAMP), Feature(name="missing", dtype=ValueType.STRING), diff --git a/sdk/python/tests/integration/registration/test_registry.py b/sdk/python/tests/integration/registration/test_registry.py index 5f72fb7125b..f011d73d2dd 100644 --- a/sdk/python/tests/integration/registration/test_registry.py +++ b/sdk/python/tests/integration/registration/test_registry.py @@ -267,7 +267,7 @@ def test_modify_feature_views_success(test_registry, request_source_schema): Feature(name="odfv1_my_feature_1", dtype=ValueType.STRING), Feature(name="odfv1_my_feature_2", dtype=ValueType.INT32), ], - sources={"request_source": request_source}, + sources=[request_source], ) def odfv1(feature_df: pd.DataFrame) -> pd.DataFrame: data = pd.DataFrame() @@ -287,7 +287,7 @@ def odfv1(feature_df: pd.DataFrame) -> pd.DataFrame: Feature(name="odfv1_my_feature_1", dtype=ValueType.FLOAT), Feature(name="odfv1_my_feature_2", dtype=ValueType.INT32), ], - sources={"request_source": request_source}, + sources=[request_source], ) def odfv1(feature_df: pd.DataFrame) -> pd.DataFrame: data = pd.DataFrame() diff --git a/sdk/python/tests/integration/registration/test_universal_odfv_feature_inference.py b/sdk/python/tests/integration/registration/test_universal_odfv_feature_inference.py index 9dced8f13ad..04cb56367bd 100644 --- a/sdk/python/tests/integration/registration/test_universal_odfv_feature_inference.py +++ b/sdk/python/tests/integration/registration/test_universal_odfv_feature_inference.py @@ -11,8 +11,8 @@ from tests.integration.feature_repos.universal.feature_views import ( conv_rate_plus_100_feature_view, create_conv_rate_request_source, - create_driver_hourly_stats_feature_view, - create_item_embeddings_feature_view, + create_driver_hourly_stats_batch_feature_view, + create_item_embeddings_batch_feature_view, create_similarity_request_source, similarity_feature_view, ) @@ -26,11 +26,12 @@ def test_infer_odfv_features(environment, universal_data_sources, infer_features (entities, datasets, data_sources) = universal_data_sources - driver_hourly_stats = create_driver_hourly_stats_feature_view(data_sources.driver) + driver_hourly_stats = create_driver_hourly_stats_batch_feature_view( + data_sources.driver + ) request_source = create_conv_rate_request_source() driver_odfv = conv_rate_plus_100_feature_view( - {"driver": driver_hourly_stats, "input_request": request_source}, - infer_features=infer_features, + [driver_hourly_stats, request_source], infer_features=infer_features, ) feast_objects = [driver_hourly_stats, driver_odfv, driver(), customer()] @@ -59,13 +60,13 @@ def test_infer_odfv_list_features(environment, infer_features, tmp_path): timestamp_field="event_timestamp", created_timestamp_column="created", ) - items = create_item_embeddings_feature_view(fake_items_src) + item_feature_view = create_item_embeddings_batch_feature_view(fake_items_src) sim_odfv = similarity_feature_view( - {"items": items, "input_request": create_similarity_request_source()}, + [item_feature_view, create_similarity_request_source()], infer_features=infer_features, ) store = environment.feature_store - store.apply([item(), items, sim_odfv]) + store.apply([item(), item_feature_view, sim_odfv]) odfv = store.get_on_demand_feature_view("similarity") assert len(odfv.features) == 2 @@ -78,11 +79,12 @@ def test_infer_odfv_features_with_error(environment, universal_data_sources): (entities, datasets, data_sources) = universal_data_sources features = [Field(name="conv_rate_plus_200", dtype=Float64)] - driver_hourly_stats = create_driver_hourly_stats_feature_view(data_sources.driver) + driver_hourly_stats = create_driver_hourly_stats_batch_feature_view( + data_sources.driver + ) request_source = create_conv_rate_request_source() driver_odfv = conv_rate_plus_100_feature_view( - {"driver": driver_hourly_stats, "input_request": request_source}, - features=features, + [driver_hourly_stats, request_source], features=features, ) feast_objects = [driver_hourly_stats, driver_odfv, driver(), customer()] diff --git a/sdk/python/tests/unit/test_on_demand_feature_view.py b/sdk/python/tests/unit/test_on_demand_feature_view.py index 9d45cfbb0b7..33435b8557e 100644 --- a/sdk/python/tests/unit/test_on_demand_feature_view.py +++ b/sdk/python/tests/unit/test_on_demand_feature_view.py @@ -11,13 +11,16 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. + import pandas as pd +import pytest +from feast import RequestSource from feast.feature_view import FeatureView from feast.field import Field from feast.infra.offline_stores.file_source import FileSource -from feast.on_demand_feature_view import OnDemandFeatureView -from feast.types import Float32 +from feast.on_demand_feature_view import OnDemandFeatureView, on_demand_feature_view +from feast.types import Float32, String, UnixTimestamp def udf1(features_df: pd.DataFrame) -> pd.DataFrame: @@ -45,7 +48,7 @@ def test_hash(): ], source=file_source, ) - sources = {"my-feature-view": feature_view} + sources = [feature_view] on_demand_feature_view_1 = OnDemandFeatureView( name="my-on-demand-feature-view", sources=sources, @@ -100,3 +103,62 @@ def test_hash(): on_demand_feature_view_4, } assert len(s4) == 3 + + +def test_inputs_parameter_deprecation_in_odfv(): + date_request = RequestSource( + name="date_request", schema=[Field(name="some_date", dtype=UnixTimestamp)], + ) + with pytest.warns(DeprecationWarning): + + @on_demand_feature_view( + inputs={"date_request": date_request}, + schema=[ + Field(name="output", dtype=UnixTimestamp), + Field(name="string_output", dtype=String), + ], + ) + def test_view(features_df: pd.DataFrame) -> pd.DataFrame: + data = pd.DataFrame() + data["output"] = features_df["some_date"] + data["string_output"] = features_df["some_date"].astype(pd.StringDtype()) + return data + + odfv = test_view + assert odfv.name == "test_view" + assert len(odfv.source_request_sources) == 1 + assert odfv.source_request_sources["date_request"].name == "date_request" + assert odfv.source_request_sources["date_request"].schema == date_request.schema + + with pytest.raises(ValueError): + + @on_demand_feature_view( + inputs={"date_request": date_request}, + sources=[date_request], + schema=[ + Field(name="output", dtype=UnixTimestamp), + Field(name="string_output", dtype=String), + ], + ) + def incorrect_testview(features_df: pd.DataFrame) -> pd.DataFrame: + data = pd.DataFrame() + data["output"] = features_df["some_date"] + data["string_output"] = features_df["some_date"].astype(pd.StringDtype()) + return data + + @on_demand_feature_view( + inputs={"odfv": date_request}, + schema=[ + Field(name="output", dtype=UnixTimestamp), + Field(name="string_output", dtype=String), + ], + ) + def test_correct_view(features_df: pd.DataFrame) -> pd.DataFrame: + data = pd.DataFrame() + data["output"] = features_df["some_date"] + data["string_output"] = features_df["some_date"].astype(pd.StringDtype()) + return data + + odfv = test_correct_view + assert odfv.name == "test_correct_view" + assert odfv.source_request_sources["date_request"].schema == date_request.schema From 0ca62970dd6bc33c00bd5d8b828752814d480588 Mon Sep 17 00:00:00 2001 From: Kevin Zhang Date: Fri, 22 Apr 2022 14:28:03 -0700 Subject: [PATCH 31/87] fix: Fix java server after odfv update (#2602) Signed-off-by: Kevin Zhang --- docs/getting-started/concepts/feature-view.md | 8 ++++---- docs/reference/alpha-on-demand-feature-view.md | 14 +++++++------- examples/java-demo/feature_repo/driver_repo.py | 2 +- .../docker-compose/feast10/definitions.py | 8 ++++---- ui/feature_repo/features.py | 2 +- 5 files changed, 17 insertions(+), 17 deletions(-) diff --git a/docs/getting-started/concepts/feature-view.md b/docs/getting-started/concepts/feature-view.md index e3decf39c96..d0b80048284 100644 --- a/docs/getting-started/concepts/feature-view.md +++ b/docs/getting-started/concepts/feature-view.md @@ -157,10 +157,10 @@ input_request = RequestSource( # Use the input data and feature view features to create new features @on_demand_feature_view( - sources={ - 'driver_hourly_stats': driver_hourly_stats_view, - 'vals_to_add': input_request - }, + sources=[ + driver_hourly_stats_view, + input_request + ], schema=[ Field(name='conv_rate_plus_val1', dtype=Float64), Field(name='conv_rate_plus_val2', dtype=Float64) diff --git a/docs/reference/alpha-on-demand-feature-view.md b/docs/reference/alpha-on-demand-feature-view.md index 6be55fb735e..eb8c4f62914 100644 --- a/docs/reference/alpha-on-demand-feature-view.md +++ b/docs/reference/alpha-on-demand-feature-view.md @@ -21,7 +21,7 @@ There are new CLI commands: ## Example -See [https://github.com/feast-dev/on-demand-feature-views-demo](https://github.com/feast-dev/on-demand-feature-views-demo) for an example on how to use on demand feature views. +See [https://github.com/feast-dev/on-demand-feature-views-demo](https://github.com/feast-dev/on-demand-feature-views-demo) for an example on how to use on demand feature views. ### **Registering transformations** @@ -32,7 +32,7 @@ from feast import Field, RequestSource from feast.types import Float64, Int64 import pandas as pd -# Define a request data source which encodes features / information only +# Define a request data source which encodes features / information only # available at request time (e.g. part of the user initiated HTTP request) input_request = RequestSource( name="vals_to_add", @@ -44,10 +44,10 @@ input_request = RequestSource( # Use the input data and feature view features to create new features @on_demand_feature_view( - sources={ - 'driver_hourly_stats': driver_hourly_stats_view, - 'vals_to_add': input_request - }, + sources=[ + driver_hourly_stats_view, + input_request + ], schema=[ Field(name='conv_rate_plus_val1', dtype=Float64), Field(name='conv_rate_plus_val2', dtype=Float64) @@ -63,7 +63,7 @@ def transformed_conv_rate(features_df: pd.DataFrame) -> pd.DataFrame: ### **Feature retrieval** {% hint style="info" %} -The on demand feature view's name is the function name \(i.e. `transformed_conv_rate`\). +The on demand feature view's name is the function name \(i.e. `transformed_conv_rate`\). {% endhint %} And then to retrieve historical or online features, we can call this in a feature service or reference individual features: diff --git a/examples/java-demo/feature_repo/driver_repo.py b/examples/java-demo/feature_repo/driver_repo.py index c9bdc7ce770..c91e5a40bed 100644 --- a/examples/java-demo/feature_repo/driver_repo.py +++ b/examples/java-demo/feature_repo/driver_repo.py @@ -43,7 +43,7 @@ # Define an on demand feature view which can generate new features based on # existing feature views and RequestSource features @on_demand_feature_view( - inputs=[ + sources=[ driver_hourly_stats_view, input_request, ], diff --git a/java/serving/src/test/resources/docker-compose/feast10/definitions.py b/java/serving/src/test/resources/docker-compose/feast10/definitions.py index 374408a20bd..e514ef0d239 100644 --- a/java/serving/src/test/resources/docker-compose/feast10/definitions.py +++ b/java/serving/src/test/resources/docker-compose/feast10/definitions.py @@ -50,10 +50,10 @@ @on_demand_feature_view( - sources={ - "driver_hourly_stats": driver_hourly_stats_view, - "vals_to_add": input_request, - }, + sources=[ + driver_hourly_stats_view, + input_request, + ], schema=[ Field(name="conv_rate_plus_val1", dtype=Float64), Field(name="conv_rate_plus_val2", dtype=Float64), diff --git a/ui/feature_repo/features.py b/ui/feature_repo/features.py index 0f74b424e7b..8a5e6153df0 100644 --- a/ui/feature_repo/features.py +++ b/ui/feature_repo/features.py @@ -140,7 +140,7 @@ # Define an on demand feature view which can generate new features based on # existing feature views and RequestSource features @on_demand_feature_view( - sources={"credit_history": credit_history, "transaction": input_request,}, + sources=[credit_history, input_request], schema=[ Field(name="transaction_gt_last_credit_card_due", dtype=Bool), ], From c94a69cff541feb1557770bdaf77cd7cc4f2f919 Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Sat, 23 Apr 2022 20:46:52 -0700 Subject: [PATCH 32/87] fix: Fix AWS bootstrap template (#2604) * Fix AWS bootstrap template Signed-off-by: Felix Wang * Fix template Signed-off-by: Felix Wang --- sdk/python/feast/templates/aws/bootstrap.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/sdk/python/feast/templates/aws/bootstrap.py b/sdk/python/feast/templates/aws/bootstrap.py index 80c2480d254..456c6e9b709 100644 --- a/sdk/python/feast/templates/aws/bootstrap.py +++ b/sdk/python/feast/templates/aws/bootstrap.py @@ -61,9 +61,8 @@ def bootstrap(): replace_str_in_file(driver_file, "%REDSHIFT_DATABASE%", database) replace_str_in_file(config_file, "%REDSHIFT_USER%", user) replace_str_in_file( - driver_file, config_file, "%REDSHIFT_S3_STAGING_LOCATION%", s3_staging_location + config_file, "%REDSHIFT_S3_STAGING_LOCATION%", s3_staging_location ) - replace_str_in_file(config_file,) replace_str_in_file(config_file, "%REDSHIFT_IAM_ROLE%", iam_role) From 00ed65a77177cfe04877e9550d1c8c1e903dadf8 Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Sat, 23 Apr 2022 20:51:52 -0700 Subject: [PATCH 33/87] fix: Fix broken proto conversion methods for data sources (#2603) * Fix Snowflake proto conversion and add test Signed-off-by: Felix Wang * Add proto conversion test for FileSource Signed-off-by: Felix Wang * Fix Redshift proto conversion and add test Signed-off-by: Felix Wang * Add proto conversion test for BigQuerySource Signed-off-by: Felix Wang * Fix tests to use DataSource.from_proto Signed-off-by: Felix Wang * Add proto conversion test for KafkaSource Signed-off-by: Felix Wang * Add proto conversion test for KinesisSource Signed-off-by: Felix Wang * Add proto conversion test for PushSource Signed-off-by: Felix Wang * Add proto conversion test for PushSource Signed-off-by: Felix Wang * Add name and other fixes Signed-off-by: Felix Wang * Fix proto conversion tests Signed-off-by: Felix Wang * Add tags to test Signed-off-by: Felix Wang * Fix BigQuerySource bug Signed-off-by: Felix Wang * Fix bug in RedshiftSource and TrinoSource Signed-off-by: Felix Wang * Remove references to event_timestamp_column Signed-off-by: Felix Wang --- go/cmd/server/logging/feature_repo/example.py | 2 +- sdk/python/feast/data_source.py | 23 ++-- sdk/python/feast/inference.py | 2 +- .../feast/infra/offline_stores/bigquery.py | 22 ++-- .../infra/offline_stores/bigquery_source.py | 56 ++------- .../postgres_offline_store/postgres.py | 22 ++-- .../contrib/spark_offline_store/spark.py | 26 ++--- .../contrib/trino_offline_store/trino.py | 22 ++-- .../trino_offline_store/trino_source.py | 2 +- sdk/python/feast/infra/offline_stores/file.py | 88 ++++++-------- .../feast/infra/offline_stores/file_source.py | 70 ++--------- .../infra/offline_stores/offline_store.py | 12 +- .../infra/offline_stores/offline_utils.py | 4 +- .../feast/infra/offline_stores/redshift.py | 22 ++-- .../infra/offline_stores/redshift_source.py | 67 ++--------- .../feast/infra/offline_stores/snowflake.py | 24 ++-- .../infra/offline_stores/snowflake_source.py | 83 +++---------- .../feast/infra/passthrough_provider.py | 6 +- sdk/python/feast/infra/provider.py | 14 +-- .../universal/data_source_creator.py | 2 +- .../universal/data_sources/trino.py | 2 +- .../online_store/test_universal_online.py | 4 +- .../registration/test_feature_store.py | 8 +- .../registration/test_inference.py | 4 +- .../tests/unit/diff/test_registry_diff.py | 8 +- sdk/python/tests/unit/test_data_sources.py | 110 +++++++++++++++++- sdk/python/tests/unit/test_feature_views.py | 4 +- sdk/python/tests/utils/data_source_utils.py | 16 ++- 28 files changed, 313 insertions(+), 412 deletions(-) diff --git a/go/cmd/server/logging/feature_repo/example.py b/go/cmd/server/logging/feature_repo/example.py index f3ca6123083..f78470efd55 100644 --- a/go/cmd/server/logging/feature_repo/example.py +++ b/go/cmd/server/logging/feature_repo/example.py @@ -9,7 +9,7 @@ # for more info. driver_hourly_stats = FileSource( path="driver_stats.parquet", - event_timestamp_column="event_timestamp", + timestamp_field="event_timestamp", created_timestamp_column="created", ) diff --git a/sdk/python/feast/data_source.py b/sdk/python/feast/data_source.py index 79c6cbdf515..6a2b9a0d148 100644 --- a/sdk/python/feast/data_source.py +++ b/sdk/python/feast/data_source.py @@ -409,7 +409,7 @@ def __init__( if _message_format is None: raise ValueError("Message format must be specified for Kafka source") - print("Asdfasdf") + super().__init__( event_timestamp_column=_event_timestamp_column, created_timestamp_column=created_timestamp_column, @@ -467,7 +467,9 @@ def from_proto(data_source: DataSourceProto): description=data_source.description, tags=dict(data_source.tags), owner=data_source.owner, - batch_source=DataSource.from_proto(data_source.batch_source), + batch_source=DataSource.from_proto(data_source.batch_source) + if data_source.batch_source + else None, ) def to_proto(self) -> DataSourceProto: @@ -500,17 +502,20 @@ class RequestSource(DataSource): """ RequestSource that can be used to provide input features for on demand transforms - Args: + Attributes: name: Name of the request data source - schema Union[Dict[str, ValueType], List[Field]]: Schema mapping from the input feature name to a ValueType - description (optional): A human-readable description. - tags (optional): A dictionary of key-value pairs to store arbitrary metadata. - owner (optional): The owner of the request data source, typically the email of the primary + schema: Schema mapping from the input feature name to a ValueType + description: A human-readable description. + tags: A dictionary of key-value pairs to store arbitrary metadata. + owner: The owner of the request data source, typically the email of the primary maintainer. """ name: str schema: List[Field] + description: str + tags: Dict[str, str] + owner: str def __init__( self, @@ -697,7 +702,9 @@ def from_proto(data_source: DataSourceProto): description=data_source.description, tags=dict(data_source.tags), owner=data_source.owner, - batch_source=DataSource.from_proto(data_source.batch_source), + batch_source=DataSource.from_proto(data_source.batch_source) + if data_source.batch_source + else None, ) @staticmethod diff --git a/sdk/python/feast/inference.py b/sdk/python/feast/inference.py index 711b37c0b4d..5c0f0e1d285 100644 --- a/sdk/python/feast/inference.py +++ b/sdk/python/feast/inference.py @@ -71,7 +71,7 @@ def update_entities_with_inferred_types_from_feature_views( def update_data_sources_with_inferred_event_timestamp_col( data_sources: List[DataSource], config: RepoConfig ) -> None: - ERROR_MSG_PREFIX = "Unable to infer DataSource event_timestamp_column" + ERROR_MSG_PREFIX = "Unable to infer DataSource timestamp_field" for data_source in data_sources: if isinstance(data_source, RequestSource): diff --git a/sdk/python/feast/infra/offline_stores/bigquery.py b/sdk/python/feast/infra/offline_stores/bigquery.py index 1e27fc326ba..29d0e029d97 100644 --- a/sdk/python/feast/infra/offline_stores/bigquery.py +++ b/sdk/python/feast/infra/offline_stores/bigquery.py @@ -83,7 +83,7 @@ def pull_latest_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, created_timestamp_column: Optional[str], start_date: datetime, end_date: datetime, @@ -96,7 +96,7 @@ def pull_latest_from_table_or_query( partition_by_join_key_string = ( "PARTITION BY " + partition_by_join_key_string ) - timestamps = [event_timestamp_column] + timestamps = [timestamp_field] if created_timestamp_column: timestamps.append(created_timestamp_column) timestamp_desc_string = " DESC, ".join(timestamps) + " DESC" @@ -114,7 +114,7 @@ def pull_latest_from_table_or_query( SELECT {field_string}, ROW_NUMBER() OVER({partition_by_join_key_string} ORDER BY {timestamp_desc_string}) AS _feast_row FROM {from_expression} - WHERE {event_timestamp_column} BETWEEN TIMESTAMP('{start_date}') AND TIMESTAMP('{end_date}') + WHERE {timestamp_field} BETWEEN TIMESTAMP('{start_date}') AND TIMESTAMP('{end_date}') ) WHERE _feast_row = 1 """ @@ -131,7 +131,7 @@ def pull_all_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, start_date: datetime, end_date: datetime, ) -> RetrievalJob: @@ -143,12 +143,12 @@ def pull_all_from_table_or_query( location=config.offline_store.location, ) field_string = ", ".join( - join_key_columns + feature_name_columns + [event_timestamp_column] + join_key_columns + feature_name_columns + [timestamp_field] ) query = f""" SELECT {field_string} FROM {from_expression} - WHERE {event_timestamp_column} BETWEEN TIMESTAMP('{start_date}') AND TIMESTAMP('{end_date}') + WHERE {timestamp_field} BETWEEN TIMESTAMP('{start_date}') AND TIMESTAMP('{end_date}') """ return BigQueryRetrievalJob( query=query, client=client, config=config, full_feature_names=False, @@ -583,9 +583,9 @@ def _get_bigquery_client(project: Optional[str] = None, location: Optional[str] 1. We first join the current feature_view to the entity dataframe that has been passed. This JOIN has the following logic: - - For each row of the entity dataframe, only keep the rows where the `event_timestamp_column` + - For each row of the entity dataframe, only keep the rows where the `timestamp_field` is less than the one provided in the entity dataframe - - If there a TTL for the current feature_view, also keep the rows where the `event_timestamp_column` + - If there a TTL for the current feature_view, also keep the rows where the `timestamp_field` is higher the the one provided minus the TTL - For each row, Join on the entity key and retrieve the `entity_row_unique_id` that has been computed previously @@ -596,16 +596,16 @@ def _get_bigquery_client(project: Optional[str] = None, location: Optional[str] {{ featureview.name }}__subquery AS ( SELECT - {{ featureview.event_timestamp_column }} as event_timestamp, + {{ featureview.timestamp_field }} as event_timestamp, {{ featureview.created_timestamp_column ~ ' as created_timestamp,' if featureview.created_timestamp_column else '' }} {{ featureview.entity_selections | join(', ')}}{% if featureview.entity_selections %},{% else %}{% endif %} {% for feature in featureview.features %} {{ feature }} as {% if full_feature_names %}{{ featureview.name }}__{{featureview.field_mapping.get(feature, feature)}}{% else %}{{ featureview.field_mapping.get(feature, feature) }}{% endif %}{% if loop.last %}{% else %}, {% endif %} {% endfor %} FROM {{ featureview.table_subquery }} - WHERE {{ featureview.event_timestamp_column }} <= '{{ featureview.max_event_timestamp }}' + WHERE {{ featureview.timestamp_field }} <= '{{ featureview.max_event_timestamp }}' {% if featureview.ttl == 0 %}{% else %} - AND {{ featureview.event_timestamp_column }} >= '{{ featureview.min_event_timestamp }}' + AND {{ featureview.timestamp_field }} >= '{{ featureview.min_event_timestamp }}' {% endif %} ), diff --git a/sdk/python/feast/infra/offline_stores/bigquery_source.py b/sdk/python/feast/infra/offline_stores/bigquery_source.py index cb4cd1b5be7..001576c98f4 100644 --- a/sdk/python/feast/infra/offline_stores/bigquery_source.py +++ b/sdk/python/feast/infra/offline_stores/bigquery_source.py @@ -99,15 +99,9 @@ def __eq__(self, other): ) return ( - self.name == other.name - and self.bigquery_options.table == other.bigquery_options.table - and self.bigquery_options.query == other.bigquery_options.query - and self.timestamp_field == other.timestamp_field - and self.created_timestamp_column == other.created_timestamp_column - and self.field_mapping == other.field_mapping - and self.description == other.description - and self.tags == other.tags - and self.owner == other.owner + super().__eq__(other) + and self.table == other.table + and self.query == other.query ) @property @@ -120,7 +114,6 @@ def query(self): @staticmethod def from_proto(data_source: DataSourceProto): - assert data_source.HasField("bigquery_options") return BigQuerySource( @@ -144,11 +137,10 @@ def to_proto(self) -> DataSourceProto: description=self.description, tags=self.tags, owner=self.owner, + timestamp_field=self.timestamp_field, + created_timestamp_column=self.created_timestamp_column, ) - data_source_proto.timestamp_field = self.timestamp_field - data_source_proto.created_timestamp_column = self.created_timestamp_column - return data_source_proto def validate(self, config: RepoConfig): @@ -179,7 +171,7 @@ def get_table_column_names_and_types( from google.cloud import bigquery client = bigquery.Client() - if self.table is not None: + if self.table: schema = client.get_table(self.table).schema if not isinstance(schema[0], bigquery.schema.SchemaField): raise TypeError("Could not parse BigQuery table schema.") @@ -200,42 +192,14 @@ def get_table_column_names_and_types( class BigQueryOptions: """ - DataSource BigQuery options used to source features from BigQuery query + Configuration options for a BigQuery data source. """ def __init__( self, table: Optional[str], query: Optional[str], ): - self._table = table - self._query = query - - @property - def query(self): - """ - Returns the BigQuery SQL query referenced by this source - """ - return self._query - - @query.setter - def query(self, query): - """ - Sets the BigQuery SQL query referenced by this source - """ - self._query = query - - @property - def table(self): - """ - Returns the table ref of this BQ table - """ - return self._table - - @table.setter - def table(self, table): - """ - Sets the table ref of this BQ table - """ - self._table = table + self.table = table or "" + self.query = query or "" @classmethod def from_proto(cls, bigquery_options_proto: DataSourceProto.BigQueryOptions): @@ -248,7 +212,6 @@ def from_proto(cls, bigquery_options_proto: DataSourceProto.BigQueryOptions): Returns: Returns a BigQueryOptions object based on the bigquery_options protobuf """ - bigquery_options = cls( table=bigquery_options_proto.table, query=bigquery_options_proto.query, ) @@ -262,7 +225,6 @@ def to_proto(self) -> DataSourceProto.BigQueryOptions: Returns: BigQueryOptionsProto protobuf """ - bigquery_options_proto = DataSourceProto.BigQueryOptions( table=self.table, query=self.query, ) diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py index 5e99addcb46..9a3df40c039 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py @@ -55,7 +55,7 @@ def pull_latest_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, created_timestamp_column: Optional[str], start_date: datetime, end_date: datetime, @@ -68,7 +68,7 @@ def pull_latest_from_table_or_query( partition_by_join_key_string = ( "PARTITION BY " + partition_by_join_key_string ) - timestamps = [event_timestamp_column] + timestamps = [timestamp_field] if created_timestamp_column: timestamps.append(created_timestamp_column) timestamp_desc_string = " DESC, ".join(_append_alias(timestamps, "a")) + " DESC" @@ -87,7 +87,7 @@ def pull_latest_from_table_or_query( SELECT {a_field_string}, ROW_NUMBER() OVER({partition_by_join_key_string} ORDER BY {timestamp_desc_string}) AS _feast_row FROM ({from_expression}) a - WHERE a."{event_timestamp_column}" BETWEEN '{start_date}'::timestamptz AND '{end_date}'::timestamptz + WHERE a."{timestamp_field}" BETWEEN '{start_date}'::timestamptz AND '{end_date}'::timestamptz ) b WHERE _feast_row = 1 """ @@ -191,7 +191,7 @@ def pull_all_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, start_date: datetime, end_date: datetime, ) -> RetrievalJob: @@ -199,7 +199,7 @@ def pull_all_from_table_or_query( from_expression = data_source.get_table_query_string() field_string = ", ".join( - join_key_columns + feature_name_columns + [event_timestamp_column] + join_key_columns + feature_name_columns + [timestamp_field] ) start_date = start_date.astimezone(tz=utc) @@ -208,7 +208,7 @@ def pull_all_from_table_or_query( query = f""" SELECT {field_string} FROM {from_expression} - WHERE "{event_timestamp_column}" BETWEEN '{start_date}'::timestamptz AND '{end_date}'::timestamptz + WHERE "{timestamp_field}" BETWEEN '{start_date}'::timestamptz AND '{end_date}'::timestamptz """ return PostgreSQLRetrievalJob( @@ -415,9 +415,9 @@ def build_point_in_time_query( 1. We first join the current feature_view to the entity dataframe that has been passed. This JOIN has the following logic: - - For each row of the entity dataframe, only keep the rows where the `event_timestamp_column` + - For each row of the entity dataframe, only keep the rows where the `timestamp_field` is less than the one provided in the entity dataframe - - If there a TTL for the current feature_view, also keep the rows where the `event_timestamp_column` + - If there a TTL for the current feature_view, also keep the rows where the `timestamp_field` is higher the the one provided minus the TTL - For each row, Join on the entity key and retrieve the `entity_row_unique_id` that has been computed previously @@ -428,16 +428,16 @@ def build_point_in_time_query( "{{ featureview.name }}__subquery" AS ( SELECT - "{{ featureview.event_timestamp_column }}" as event_timestamp, + "{{ featureview.timestamp_field }}" as event_timestamp, {{ '"' ~ featureview.created_timestamp_column ~ '" as created_timestamp,' if featureview.created_timestamp_column else '' }} {{ featureview.entity_selections | join(', ')}}{% if featureview.entity_selections %},{% else %}{% endif %} {% for feature in featureview.features %} "{{ feature }}" as {% if full_feature_names %}"{{ featureview.name }}__{{featureview.field_mapping.get(feature, feature)}}"{% else %}"{{ featureview.field_mapping.get(feature, feature) }}"{% endif %}{% if loop.last %}{% else %}, {% endif %} {% endfor %} FROM {{ featureview.table_subquery }} AS sub - WHERE "{{ featureview.event_timestamp_column }}" <= (SELECT MAX(entity_timestamp) FROM entity_dataframe) + WHERE "{{ featureview.timestamp_field }}" <= (SELECT MAX(entity_timestamp) FROM entity_dataframe) {% if featureview.ttl == 0 %}{% else %} - AND "{{ featureview.event_timestamp_column }}" >= (SELECT MIN(entity_timestamp) FROM entity_dataframe) - {{ featureview.ttl }} * interval '1' second + AND "{{ featureview.timestamp_field }}" >= (SELECT MIN(entity_timestamp) FROM entity_dataframe) - {{ featureview.ttl }} * interval '1' second {% endif %} ), diff --git a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py index 1b977ba622f..770bd8adc21 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py +++ b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py @@ -50,7 +50,7 @@ def pull_latest_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, created_timestamp_column: Optional[str], start_date: datetime, end_date: datetime, @@ -76,7 +76,7 @@ def pull_latest_from_table_or_query( partition_by_join_key_string = ( "PARTITION BY " + partition_by_join_key_string ) - timestamps = [event_timestamp_column] + timestamps = [timestamp_field] if created_timestamp_column: timestamps.append(created_timestamp_column) timestamp_desc_string = " DESC, ".join(timestamps) + " DESC" @@ -92,7 +92,7 @@ def pull_latest_from_table_or_query( SELECT {field_string}, ROW_NUMBER() OVER({partition_by_join_key_string} ORDER BY {timestamp_desc_string}) AS feast_row_ FROM {from_expression} t1 - WHERE {event_timestamp_column} BETWEEN TIMESTAMP('{start_date_str}') AND TIMESTAMP('{end_date_str}') + WHERE {timestamp_field} BETWEEN TIMESTAMP('{start_date_str}') AND TIMESTAMP('{end_date_str}') ) t2 WHERE feast_row_ = 1 """ @@ -190,12 +190,12 @@ def pull_all_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, start_date: datetime, end_date: datetime, ) -> RetrievalJob: """ - Note that join_key_columns, feature_name_columns, event_timestamp_column, and + Note that join_key_columns, feature_name_columns, timestamp_field, and created_timestamp_column have all already been mapped to column names of the source table and those column names are the values passed into this function. """ @@ -210,9 +210,7 @@ def pull_all_from_table_or_query( store_config=config.offline_store ) - fields = ", ".join( - join_key_columns + feature_name_columns + [event_timestamp_column] - ) + fields = ", ".join(join_key_columns + feature_name_columns + [timestamp_field]) from_expression = data_source.get_table_query_string() start_date = start_date.astimezone(tz=utc) end_date = end_date.astimezone(tz=utc) @@ -220,7 +218,7 @@ def pull_all_from_table_or_query( query = f""" SELECT {fields} FROM {from_expression} - WHERE {event_timestamp_column} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' + WHERE {timestamp_field} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' """ return SparkRetrievalJob( @@ -422,9 +420,9 @@ def _format_datetime(t: datetime) -> str: 1. We first join the current feature_view to the entity dataframe that has been passed. This JOIN has the following logic: - - For each row of the entity dataframe, only keep the rows where the `event_timestamp_column` + - For each row of the entity dataframe, only keep the rows where the `timestamp_field` is less than the one provided in the entity dataframe - - If there a TTL for the current feature_view, also keep the rows where the `event_timestamp_column` + - If there a TTL for the current feature_view, also keep the rows where the `timestamp_field` is higher the the one provided minus the TTL - For each row, Join on the entity key and retrieve the `entity_row_unique_id` that has been computed previously @@ -435,16 +433,16 @@ def _format_datetime(t: datetime) -> str: {{ featureview.name }}__subquery AS ( SELECT - {{ featureview.event_timestamp_column }} as event_timestamp, + {{ featureview.timestamp_field }} as event_timestamp, {{ featureview.created_timestamp_column ~ ' as created_timestamp,' if featureview.created_timestamp_column else '' }} {{ featureview.entity_selections | join(', ')}}{% if featureview.entity_selections %},{% else %}{% endif %} {% for feature in featureview.features %} {{ feature }} as {% if full_feature_names %}{{ featureview.name }}__{{featureview.field_mapping.get(feature, feature)}}{% else %}{{ featureview.field_mapping.get(feature, feature) }}{% endif %}{% if loop.last %}{% else %}, {% endif %} {% endfor %} FROM {{ featureview.table_subquery }} - WHERE {{ featureview.event_timestamp_column }} <= '{{ featureview.max_event_timestamp }}' + WHERE {{ featureview.timestamp_field }} <= '{{ featureview.max_event_timestamp }}' {% if featureview.ttl == 0 %}{% else %} - AND {{ featureview.event_timestamp_column }} >= '{{ featureview.min_event_timestamp }}' + AND {{ featureview.timestamp_field }} >= '{{ featureview.min_event_timestamp }}' {% endif %} ), diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino.py index 442bdf66569..87a99b820e8 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino.py +++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino.py @@ -153,7 +153,7 @@ def pull_latest_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, created_timestamp_column: Optional[str], start_date: datetime, end_date: datetime, @@ -177,7 +177,7 @@ def pull_latest_from_table_or_query( partition_by_join_key_string = ( "PARTITION BY " + partition_by_join_key_string ) - timestamps = [event_timestamp_column] + timestamps = [timestamp_field] if created_timestamp_column: timestamps.append(created_timestamp_column) timestamp_desc_string = " DESC, ".join(timestamps) + " DESC" @@ -195,7 +195,7 @@ def pull_latest_from_table_or_query( SELECT {field_string}, ROW_NUMBER() OVER({partition_by_join_key_string} ORDER BY {timestamp_desc_string}) AS _feast_row FROM {from_expression} - WHERE {event_timestamp_column} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' + WHERE {timestamp_field} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' ) WHERE _feast_row = 1 """ @@ -302,7 +302,7 @@ def pull_all_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, start_date: datetime, end_date: datetime, user: str = "user", @@ -319,12 +319,12 @@ def pull_all_from_table_or_query( config=config, user=user, auth=auth, http_scheme=http_scheme ) field_string = ", ".join( - join_key_columns + feature_name_columns + [event_timestamp_column] + join_key_columns + feature_name_columns + [timestamp_field] ) query = f""" SELECT {field_string} FROM {from_expression} - WHERE {event_timestamp_column} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' + WHERE {timestamp_field} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' """ return TrinoRetrievalJob( query=query, client=client, config=config, full_feature_names=False, @@ -458,9 +458,9 @@ def _get_entity_df_event_timestamp_range( to the provided entity table. 1. We first join the current feature_view to the entity dataframe that has been passed. This JOIN has the following logic: - - For each row of the entity dataframe, only keep the rows where the `event_timestamp_column` + - For each row of the entity dataframe, only keep the rows where the `timestamp_field` is less than the one provided in the entity dataframe - - If there a TTL for the current feature_view, also keep the rows where the `event_timestamp_column` + - If there a TTL for the current feature_view, also keep the rows where the `timestamp_field` is higher the the one provided minus the TTL - For each row, Join on the entity key and retrieve the `entity_row_unique_id` that has been computed previously @@ -469,16 +469,16 @@ def _get_entity_df_event_timestamp_range( */ {{ featureview.name }}__subquery AS ( SELECT - {{ featureview.event_timestamp_column }} as event_timestamp, + {{ featureview.timestamp_field }} as event_timestamp, {{ featureview.created_timestamp_column ~ ' as created_timestamp,' if featureview.created_timestamp_column else '' }} {{ featureview.entity_selections | join(', ')}}{% if featureview.entity_selections %},{% else %}{% endif %} {% for feature in featureview.features %} {{ feature }} as {% if full_feature_names %}{{ featureview.name }}__{{featureview.field_mapping.get(feature, feature)}}{% else %}{{ featureview.field_mapping.get(feature, feature) }}{% endif %}{% if loop.last %}{% else %}, {% endif %} {% endfor %} FROM {{ featureview.table_subquery }} - WHERE {{ featureview.event_timestamp_column }} <= from_iso8601_timestamp('{{ featureview.max_event_timestamp }}') + WHERE {{ featureview.timestamp_field }} <= from_iso8601_timestamp('{{ featureview.max_event_timestamp }}') {% if featureview.ttl == 0 %}{% else %} - AND {{ featureview.event_timestamp_column }} >= from_iso8601_timestamp('{{ featureview.min_event_timestamp }}') + AND {{ featureview.timestamp_field }} >= from_iso8601_timestamp('{{ featureview.min_event_timestamp }}') {% endif %} ), {{ featureview.name }}__base AS ( diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py index b8fddee89ff..b559d0e59ea 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py +++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py @@ -205,7 +205,7 @@ def get_table_column_names_and_types( host=config.offline_store.host, port=config.offline_store.port, ) - if self.table is not None: + if self.table: table_schema = client.execute_query( f"SELECT * FROM {self.table} LIMIT 1" ).schema diff --git a/sdk/python/feast/infra/offline_stores/file.py b/sdk/python/feast/infra/offline_stores/file.py index a7d8b25abfb..052d546748d 100644 --- a/sdk/python/feast/infra/offline_stores/file.py +++ b/sdk/python/feast/infra/offline_stores/file.py @@ -186,7 +186,7 @@ def evaluate_historical_retrieval(): # Load feature view data from sources and join them incrementally for feature_view, features in feature_views_to_features.items(): - event_timestamp_column = feature_view.batch_source.timestamp_field + timestamp_field = feature_view.batch_source.timestamp_field created_timestamp_column = ( feature_view.batch_source.created_timestamp_column ) @@ -202,7 +202,7 @@ def evaluate_historical_retrieval(): join_keys.append(join_key) right_entity_key_columns = [ - event_timestamp_column, + timestamp_field, created_timestamp_column, ] + join_keys right_entity_key_columns = [c for c in right_entity_key_columns if c] @@ -211,39 +211,39 @@ def evaluate_historical_retrieval(): df_to_join = _read_datasource(feature_view.batch_source) - df_to_join, event_timestamp_column = _field_mapping( + df_to_join, timestamp_field = _field_mapping( df_to_join, feature_view, features, right_entity_key_columns, entity_df_event_timestamp_col, - event_timestamp_column, + timestamp_field, full_feature_names, ) df_to_join = _merge(entity_df_with_features, df_to_join, join_keys) df_to_join = _normalize_timestamp( - df_to_join, event_timestamp_column, created_timestamp_column + df_to_join, timestamp_field, created_timestamp_column ) df_to_join = _filter_ttl( df_to_join, feature_view, entity_df_event_timestamp_col, - event_timestamp_column, + timestamp_field, ) df_to_join = _drop_duplicates( df_to_join, all_join_keys, - event_timestamp_column, + timestamp_field, created_timestamp_column, entity_df_event_timestamp_col, ) entity_df_with_features = _drop_columns( - df_to_join, event_timestamp_column, created_timestamp_column + df_to_join, timestamp_field, created_timestamp_column ) # Ensure that we delete dataframes to free up memory @@ -273,7 +273,7 @@ def pull_latest_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, created_timestamp_column: Optional[str], start_date: datetime, end_date: datetime, @@ -285,7 +285,7 @@ def evaluate_offline_job(): source_df = _read_datasource(data_source) source_df = _normalize_timestamp( - source_df, event_timestamp_column, created_timestamp_column + source_df, timestamp_field, created_timestamp_column ) source_columns = set(source_df.columns) @@ -295,9 +295,9 @@ def evaluate_offline_job(): ) ts_columns = ( - [event_timestamp_column, created_timestamp_column] + [timestamp_field, created_timestamp_column] if created_timestamp_column - else [event_timestamp_column] + else [timestamp_field] ) # try-catch block is added to deal with this issue https://github.com/dask/dask/issues/8939. # TODO(kevjumba): remove try catch when fix is merged upstream in Dask. @@ -305,7 +305,7 @@ def evaluate_offline_job(): if created_timestamp_column: source_df = source_df.sort_values(by=created_timestamp_column,) - source_df = source_df.sort_values(by=event_timestamp_column) + source_df = source_df.sort_values(by=timestamp_field) except ZeroDivisionError: # Use 1 partition to get around case where everything in timestamp column is the same so the partition algorithm doesn't @@ -315,13 +315,11 @@ def evaluate_offline_job(): by=created_timestamp_column, npartitions=1 ) - source_df = source_df.sort_values( - by=event_timestamp_column, npartitions=1 - ) + source_df = source_df.sort_values(by=timestamp_field, npartitions=1) source_df = source_df[ - (source_df[event_timestamp_column] >= start_date) - & (source_df[event_timestamp_column] < end_date) + (source_df[timestamp_field] >= start_date) + & (source_df[timestamp_field] < end_date) ] source_df = source_df.persist() @@ -353,7 +351,7 @@ def pull_all_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, start_date: datetime, end_date: datetime, ) -> RetrievalJob: @@ -361,9 +359,9 @@ def pull_all_from_table_or_query( config=config, data_source=data_source, join_key_columns=join_key_columns - + [event_timestamp_column], # avoid deduplication + + [timestamp_field], # avoid deduplication feature_name_columns=feature_name_columns, - event_timestamp_column=event_timestamp_column, + timestamp_field=timestamp_field, created_timestamp_column=None, start_date=start_date, end_date=end_date, @@ -410,7 +408,7 @@ def _field_mapping( features: List[str], right_entity_key_columns: List[str], entity_df_event_timestamp_col: str, - event_timestamp_column: str, + timestamp_field: str, full_feature_names: bool, ) -> dd.DataFrame: # Rename columns by the field mapping dictionary if it exists @@ -449,13 +447,13 @@ def _field_mapping( df_to_join = df_to_join.persist() # Make sure to not have duplicated columns - if entity_df_event_timestamp_col == event_timestamp_column: + if entity_df_event_timestamp_col == timestamp_field: df_to_join = _run_dask_field_mapping( - df_to_join, {event_timestamp_column: f"__{event_timestamp_column}"}, + df_to_join, {timestamp_field: f"__{timestamp_field}"}, ) - event_timestamp_column = f"__{event_timestamp_column}" + timestamp_field = f"__{timestamp_field}" - return df_to_join.persist(), event_timestamp_column + return df_to_join.persist(), timestamp_field def _merge( @@ -489,24 +487,19 @@ def _merge( def _normalize_timestamp( - df_to_join: dd.DataFrame, - event_timestamp_column: str, - created_timestamp_column: str, + df_to_join: dd.DataFrame, timestamp_field: str, created_timestamp_column: str, ) -> dd.DataFrame: df_to_join_types = df_to_join.dtypes - event_timestamp_column_type = df_to_join_types[event_timestamp_column] + timestamp_field_type = df_to_join_types[timestamp_field] if created_timestamp_column: created_timestamp_column_type = df_to_join_types[created_timestamp_column] - if ( - not hasattr(event_timestamp_column_type, "tz") - or event_timestamp_column_type.tz != pytz.UTC - ): + if not hasattr(timestamp_field_type, "tz") or timestamp_field_type.tz != pytz.UTC: # Make sure all timestamp fields are tz-aware. We default tz-naive fields to UTC - df_to_join[event_timestamp_column] = df_to_join[event_timestamp_column].apply( + df_to_join[timestamp_field] = df_to_join[timestamp_field].apply( lambda x: x if x.tzinfo is not None else x.replace(tzinfo=pytz.utc), - meta=(event_timestamp_column, "datetime64[ns, UTC]"), + meta=(timestamp_field, "datetime64[ns, UTC]"), ) if created_timestamp_column and ( @@ -517,7 +510,7 @@ def _normalize_timestamp( created_timestamp_column ].apply( lambda x: x if x.tzinfo is not None else x.replace(tzinfo=pytz.utc), - meta=(event_timestamp_column, "datetime64[ns, UTC]"), + meta=(timestamp_field, "datetime64[ns, UTC]"), ) return df_to_join.persist() @@ -527,19 +520,16 @@ def _filter_ttl( df_to_join: dd.DataFrame, feature_view: FeatureView, entity_df_event_timestamp_col: str, - event_timestamp_column: str, + timestamp_field: str, ) -> dd.DataFrame: # Filter rows by defined timestamp tolerance if feature_view.ttl and feature_view.ttl.total_seconds() != 0: df_to_join = df_to_join[ ( - df_to_join[event_timestamp_column] + df_to_join[timestamp_field] >= df_to_join[entity_df_event_timestamp_col] - feature_view.ttl ) - & ( - df_to_join[event_timestamp_column] - <= df_to_join[entity_df_event_timestamp_col] - ) + & (df_to_join[timestamp_field] <= df_to_join[entity_df_event_timestamp_col]) ] df_to_join = df_to_join.persist() @@ -550,7 +540,7 @@ def _filter_ttl( def _drop_duplicates( df_to_join: dd.DataFrame, all_join_keys: List[str], - event_timestamp_column: str, + timestamp_field: str, created_timestamp_column: str, entity_df_event_timestamp_col: str, ) -> dd.DataFrame: @@ -560,7 +550,7 @@ def _drop_duplicates( ) df_to_join = df_to_join.persist() - df_to_join = df_to_join.sort_values(by=event_timestamp_column, na_position="first") + df_to_join = df_to_join.sort_values(by=timestamp_field, na_position="first") df_to_join = df_to_join.persist() df_to_join = df_to_join.drop_duplicates( @@ -571,13 +561,9 @@ def _drop_duplicates( def _drop_columns( - df_to_join: dd.DataFrame, - event_timestamp_column: str, - created_timestamp_column: str, + df_to_join: dd.DataFrame, timestamp_field: str, created_timestamp_column: str, ) -> dd.DataFrame: - entity_df_with_features = df_to_join.drop( - [event_timestamp_column], axis=1 - ).persist() + entity_df_with_features = df_to_join.drop([timestamp_field], axis=1).persist() if created_timestamp_column: entity_df_with_features = entity_df_with_features.drop( diff --git a/sdk/python/feast/infra/offline_stores/file_source.py b/sdk/python/feast/infra/offline_stores/file_source.py index e177642a32f..a6fc7a1600f 100644 --- a/sdk/python/feast/infra/offline_stores/file_source.py +++ b/sdk/python/feast/infra/offline_stores/file_source.py @@ -116,16 +116,11 @@ def __eq__(self, other): raise TypeError("Comparisons should only involve FileSource class objects.") return ( - self.name == other.name + super().__eq__(other) + and self.path == other.path and self.file_options.file_format == other.file_options.file_format - and self.timestamp_field == other.timestamp_field - and self.created_timestamp_column == other.created_timestamp_column - and self.field_mapping == other.field_mapping and self.file_options.s3_endpoint_override == other.file_options.s3_endpoint_override - and self.description == other.description - and self.tags == other.tags - and self.owner == other.owner ) @property @@ -203,7 +198,7 @@ def get_table_query_string(self) -> str: class FileOptions: """ - DataSource File options used to source features from a file + Configuration options for a file data source. """ def __init__( @@ -213,66 +208,23 @@ def __init__( uri: Optional[str], ): """ - FileOptions initialization method + Initializes a FileOptions object. Args: - file_format (FileFormat, optional): file source format eg. parquet - s3_endpoint_override (str, optional): custom s3 endpoint (used only with s3 uri) - uri (str, optional): file source url eg. s3:// or local file - - """ - self._file_format = file_format - self._uri = uri - self._s3_endpoint_override = s3_endpoint_override - - @property - def file_format(self): - """ - Returns the file format of this file - """ - return self._file_format - - @file_format.setter - def file_format(self, file_format): - """ - Sets the file format of this file - """ - self._file_format = file_format - - @property - def uri(self): - """ - Returns the file url of this file + file_format (optional): File source format, e.g. parquet. + s3_endpoint_override (optional): Custom s3 endpoint (used only with s3 uri). + uri (optional): File source url, e.g. s3:// or local file. """ - return self._uri - - @uri.setter - def uri(self, uri): - """ - Sets the file url of this file - """ - self._uri = uri - - @property - def s3_endpoint_override(self): - """ - Returns the s3 endpoint override - """ - return None if self._s3_endpoint_override == "" else self._s3_endpoint_override - - @s3_endpoint_override.setter - def s3_endpoint_override(self, s3_endpoint_override): - """ - Sets the s3 endpoint override - """ - self._s3_endpoint_override = s3_endpoint_override + self.file_format = file_format + self.uri = uri or "" + self.s3_endpoint_override = s3_endpoint_override or "" @classmethod def from_proto(cls, file_options_proto: DataSourceProto.FileOptions): """ Creates a FileOptions from a protobuf representation of a file option - args: + Args: file_options_proto: a protobuf representation of a datasource Returns: diff --git a/sdk/python/feast/infra/offline_stores/offline_store.py b/sdk/python/feast/infra/offline_stores/offline_store.py index e5937712f69..83f20bb3e52 100644 --- a/sdk/python/feast/infra/offline_stores/offline_store.py +++ b/sdk/python/feast/infra/offline_stores/offline_store.py @@ -173,7 +173,7 @@ def pull_latest_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, created_timestamp_column: Optional[str], start_date: datetime, end_date: datetime, @@ -185,7 +185,7 @@ def pull_latest_from_table_or_query( FeatureStore.materialize() method. This method pulls data from the offline store, and the FeatureStore class is used to write this data into the online store. - Note that join_key_columns, feature_name_columns, event_timestamp_column, and created_timestamp_column + Note that join_key_columns, feature_name_columns, timestamp_field, and created_timestamp_column have all already been mapped to column names of the source table and those column names are the values passed into this function. @@ -194,7 +194,7 @@ class is used to write this data into the online store. data_source: Data source to pull all of the columns from join_key_columns: Columns of the join keys feature_name_columns: Columns of the feature names needed - event_timestamp_column: Timestamp column + timestamp_field: Timestamp column start_date: Starting date of query end_date: Ending date of query """ @@ -220,14 +220,14 @@ def pull_all_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, start_date: datetime, end_date: datetime, ) -> RetrievalJob: """ Returns a Retrieval Job for all join key columns, feature name columns, and the event timestamp columns that occur between the start_date and end_date. - Note that join_key_columns, feature_name_columns, event_timestamp_column, and created_timestamp_column + Note that join_key_columns, feature_name_columns, timestamp_field, and created_timestamp_column have all already been mapped to column names of the source table and those column names are the values passed into this function. @@ -236,7 +236,7 @@ def pull_all_from_table_or_query( data_source: Data source to pull all of the columns from join_key_columns: Columns of the join keys feature_name_columns: Columns of the feature names needed - event_timestamp_column: Timestamp column + timestamp_field: Timestamp column start_date: Starting date of query end_date: Ending date of query """ diff --git a/sdk/python/feast/infra/offline_stores/offline_utils.py b/sdk/python/feast/infra/offline_stores/offline_utils.py index c62d0223a03..b6c3d300d49 100644 --- a/sdk/python/feast/infra/offline_stores/offline_utils.py +++ b/sdk/python/feast/infra/offline_stores/offline_utils.py @@ -86,7 +86,7 @@ class FeatureViewQueryContext: entities: List[str] features: List[str] # feature reference format field_mapping: Dict[str, str] - event_timestamp_column: str + timestamp_field: str created_timestamp_column: Optional[str] table_subquery: str entity_selections: List[str] @@ -154,7 +154,7 @@ def get_feature_view_query_context( entities=join_keys, features=features, field_mapping=feature_view.batch_source.field_mapping, - event_timestamp_column=timestamp_field, + timestamp_field=timestamp_field, created_timestamp_column=created_timestamp_column, # TODO: Make created column optional and not hardcoded table_subquery=feature_view.batch_source.get_table_query_string(), diff --git a/sdk/python/feast/infra/offline_stores/redshift.py b/sdk/python/feast/infra/offline_stores/redshift.py index e67cf13f5c4..cd309c92b21 100644 --- a/sdk/python/feast/infra/offline_stores/redshift.py +++ b/sdk/python/feast/infra/offline_stores/redshift.py @@ -71,7 +71,7 @@ def pull_latest_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, created_timestamp_column: Optional[str], start_date: datetime, end_date: datetime, @@ -86,7 +86,7 @@ def pull_latest_from_table_or_query( partition_by_join_key_string = ( "PARTITION BY " + partition_by_join_key_string ) - timestamp_columns = [event_timestamp_column] + timestamp_columns = [timestamp_field] if created_timestamp_column: timestamp_columns.append(created_timestamp_column) timestamp_desc_string = " DESC, ".join(timestamp_columns) + " DESC" @@ -110,7 +110,7 @@ def pull_latest_from_table_or_query( SELECT {field_string}, ROW_NUMBER() OVER({partition_by_join_key_string} ORDER BY {timestamp_desc_string}) AS _feast_row FROM {from_expression} - WHERE {event_timestamp_column} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' + WHERE {timestamp_field} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' ) WHERE _feast_row = 1 """ @@ -130,7 +130,7 @@ def pull_all_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, start_date: datetime, end_date: datetime, ) -> RetrievalJob: @@ -138,7 +138,7 @@ def pull_all_from_table_or_query( from_expression = data_source.get_table_query_string() field_string = ", ".join( - join_key_columns + feature_name_columns + [event_timestamp_column] + join_key_columns + feature_name_columns + [timestamp_field] ) redshift_client = aws_utils.get_redshift_data_client( @@ -152,7 +152,7 @@ def pull_all_from_table_or_query( query = f""" SELECT {field_string} FROM {from_expression} - WHERE {event_timestamp_column} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' + WHERE {timestamp_field} BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' """ return RedshiftRetrievalJob( @@ -546,9 +546,9 @@ def _get_entity_df_event_timestamp_range( 1. We first join the current feature_view to the entity dataframe that has been passed. This JOIN has the following logic: - - For each row of the entity dataframe, only keep the rows where the `event_timestamp_column` + - For each row of the entity dataframe, only keep the rows where the `timestamp_field` is less than the one provided in the entity dataframe - - If there a TTL for the current feature_view, also keep the rows where the `event_timestamp_column` + - If there a TTL for the current feature_view, also keep the rows where the `timestamp_field` is higher the the one provided minus the TTL - For each row, Join on the entity key and retrieve the `entity_row_unique_id` that has been computed previously @@ -559,16 +559,16 @@ def _get_entity_df_event_timestamp_range( {{ featureview.name }}__subquery AS ( SELECT - {{ featureview.event_timestamp_column }} as event_timestamp, + {{ featureview.timestamp_field }} as event_timestamp, {{ featureview.created_timestamp_column ~ ' as created_timestamp,' if featureview.created_timestamp_column else '' }} {{ featureview.entity_selections | join(', ')}}{% if featureview.entity_selections %},{% else %}{% endif %} {% for feature in featureview.features %} {{ feature }} as {% if full_feature_names %}{{ featureview.name }}__{{featureview.field_mapping.get(feature, feature)}}{% else %}{{ featureview.field_mapping.get(feature, feature) }}{% endif %}{% if loop.last %}{% else %}, {% endif %} {% endfor %} FROM {{ featureview.table_subquery }} - WHERE {{ featureview.event_timestamp_column }} <= '{{ featureview.max_event_timestamp }}' + WHERE {{ featureview.timestamp_field }} <= '{{ featureview.max_event_timestamp }}' {% if featureview.ttl == 0 %}{% else %} - AND {{ featureview.event_timestamp_column }} >= '{{ featureview.min_event_timestamp }}' + AND {{ featureview.timestamp_field }} >= '{{ featureview.min_event_timestamp }}' {% endif %} ), diff --git a/sdk/python/feast/infra/offline_stores/redshift_source.py b/sdk/python/feast/infra/offline_stores/redshift_source.py index dcfcb50aa69..00af8c1abfa 100644 --- a/sdk/python/feast/infra/offline_stores/redshift_source.py +++ b/sdk/python/feast/infra/offline_stores/redshift_source.py @@ -106,6 +106,7 @@ def from_proto(data_source: DataSourceProto): A RedshiftSource object based on the data_source protobuf. """ return RedshiftSource( + name=data_source.name, field_mapping=dict(data_source.field_mapping), table=data_source.redshift_options.table, schema=data_source.redshift_options.schema, @@ -129,17 +130,11 @@ def __eq__(self, other): ) return ( - self.name == other.name + super().__eq__(other) and self.redshift_options.table == other.redshift_options.table and self.redshift_options.schema == other.redshift_options.schema and self.redshift_options.query == other.redshift_options.query and self.redshift_options.database == other.redshift_options.database - and self.timestamp_field == other.timestamp_field - and self.created_timestamp_column == other.created_timestamp_column - and self.field_mapping == other.field_mapping - and self.description == other.description - and self.tags == other.tags - and self.owner == other.owner ) @property @@ -170,17 +165,17 @@ def to_proto(self) -> DataSourceProto: A DataSourceProto object. """ data_source_proto = DataSourceProto( + name=self.name, type=DataSourceProto.BATCH_REDSHIFT, field_mapping=self.field_mapping, redshift_options=self.redshift_options.to_proto(), description=self.description, tags=self.tags, owner=self.owner, + timestamp_field=self.timestamp_field, + created_timestamp_column=self.created_timestamp_column, ) - data_source_proto.timestamp_field = self.timestamp_field - data_source_proto.created_timestamp_column = self.created_timestamp_column - return data_source_proto def validate(self, config: RepoConfig): @@ -216,7 +211,7 @@ def get_table_column_names_and_types( assert isinstance(config.offline_store, RedshiftOfflineStoreConfig) client = aws_utils.get_redshift_data_client(config.offline_store.region) - if self.table is not None: + if self.table: try: table = client.describe_table( ClusterIdentifier=config.offline_store.cluster_id, @@ -256,7 +251,7 @@ def get_table_column_names_and_types( class RedshiftOptions: """ - DataSource Redshift options used to source features from Redshift query. + Configuration options for a Redshift data source. """ def __init__( @@ -266,50 +261,10 @@ def __init__( query: Optional[str], database: Optional[str], ): - self._table = table - self._schema = schema - self._query = query - self._database = database - - @property - def query(self): - """Returns the Redshift SQL query referenced by this source.""" - return self._query - - @query.setter - def query(self, query): - """Sets the Redshift SQL query referenced by this source.""" - self._query = query - - @property - def table(self): - """Returns the table name of this Redshift table.""" - return self._table - - @table.setter - def table(self, table_name): - """Sets the table ref of this Redshift table.""" - self._table = table_name - - @property - def schema(self): - """Returns the schema name of this Redshift table.""" - return self._schema - - @schema.setter - def schema(self, schema): - """Sets the schema of this Redshift table.""" - self._schema = schema - - @property - def database(self): - """Returns the schema name of this Redshift table.""" - return self._database - - @database.setter - def database(self, database): - """Sets the database name of this Redshift table.""" - self._database = database + self.table = table or "" + self.schema = schema or "" + self.query = query or "" + self.database = database or "" @classmethod def from_proto(cls, redshift_options_proto: DataSourceProto.RedshiftOptions): diff --git a/sdk/python/feast/infra/offline_stores/snowflake.py b/sdk/python/feast/infra/offline_stores/snowflake.py index c88e1b1844c..a07f7a57c63 100644 --- a/sdk/python/feast/infra/offline_stores/snowflake.py +++ b/sdk/python/feast/infra/offline_stores/snowflake.py @@ -97,7 +97,7 @@ def pull_latest_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, created_timestamp_column: Optional[str], start_date: datetime, end_date: datetime, @@ -117,7 +117,7 @@ def pull_latest_from_table_or_query( else: partition_by_join_key_string = "" - timestamp_columns = [event_timestamp_column] + timestamp_columns = [timestamp_field] if created_timestamp_column: timestamp_columns.append(created_timestamp_column) @@ -141,7 +141,7 @@ def pull_latest_from_table_or_query( SELECT {field_string}, ROW_NUMBER() OVER({partition_by_join_key_string} ORDER BY {timestamp_desc_string}) AS "_feast_row" FROM {from_expression} - WHERE "{event_timestamp_column}" BETWEEN TO_TIMESTAMP_NTZ({start_date.timestamp()}) AND TO_TIMESTAMP_NTZ({end_date.timestamp()}) + WHERE "{timestamp_field}" BETWEEN TO_TIMESTAMP_NTZ({start_date.timestamp()}) AND TO_TIMESTAMP_NTZ({end_date.timestamp()}) ) WHERE "_feast_row" = 1 """ @@ -161,7 +161,7 @@ def pull_all_from_table_or_query( data_source: DataSource, join_key_columns: List[str], feature_name_columns: List[str], - event_timestamp_column: str, + timestamp_field: str, start_date: datetime, end_date: datetime, ) -> RetrievalJob: @@ -170,9 +170,7 @@ def pull_all_from_table_or_query( field_string = ( '"' - + '", "'.join( - join_key_columns + feature_name_columns + [event_timestamp_column] - ) + + '", "'.join(join_key_columns + feature_name_columns + [timestamp_field]) + '"' ) @@ -187,7 +185,7 @@ def pull_all_from_table_or_query( query = f""" SELECT {field_string} FROM {from_expression} - WHERE "{event_timestamp_column}" BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' + WHERE "{timestamp_field}" BETWEEN TIMESTAMP '{start_date}' AND TIMESTAMP '{end_date}' """ return SnowflakeRetrievalJob( @@ -512,9 +510,9 @@ def _get_entity_df_event_timestamp_range( 1. We first join the current feature_view to the entity dataframe that has been passed. This JOIN has the following logic: - - For each row of the entity dataframe, only keep the rows where the `event_timestamp_column` + - For each row of the entity dataframe, only keep the rows where the `timestamp_field` is less than the one provided in the entity dataframe - - If there a TTL for the current feature_view, also keep the rows where the `event_timestamp_column` + - If there a TTL for the current feature_view, also keep the rows where the `timestamp_field` is higher the the one provided minus the TTL - For each row, Join on the entity key and retrieve the `entity_row_unique_id` that has been computed previously @@ -525,16 +523,16 @@ def _get_entity_df_event_timestamp_range( "{{ featureview.name }}__subquery" AS ( SELECT - "{{ featureview.event_timestamp_column }}" as "event_timestamp", + "{{ featureview.timestamp_field }}" as "event_timestamp", {{'"' ~ featureview.created_timestamp_column ~ '" as "created_timestamp",' if featureview.created_timestamp_column else '' }} {{featureview.entity_selections | join(', ')}}{% if featureview.entity_selections %},{% else %}{% endif %} {% for feature in featureview.features %} "{{ feature }}" as {% if full_feature_names %}"{{ featureview.name }}__{{featureview.field_mapping.get(feature, feature)}}"{% else %}"{{ featureview.field_mapping.get(feature, feature) }}"{% endif %}{% if loop.last %}{% else %}, {% endif %} {% endfor %} FROM {{ featureview.table_subquery }} - WHERE "{{ featureview.event_timestamp_column }}" <= '{{ featureview.max_event_timestamp }}' + WHERE "{{ featureview.timestamp_field }}" <= '{{ featureview.max_event_timestamp }}' {% if featureview.ttl == 0 %}{% else %} - AND "{{ featureview.event_timestamp_column }}" >= '{{ featureview.min_event_timestamp }}' + AND "{{ featureview.timestamp_field }}" >= '{{ featureview.min_event_timestamp }}' {% endif %} ), diff --git a/sdk/python/feast/infra/offline_stores/snowflake_source.py b/sdk/python/feast/infra/offline_stores/snowflake_source.py index 8f3f2f0bb57..904fc48043b 100644 --- a/sdk/python/feast/infra/offline_stores/snowflake_source.py +++ b/sdk/python/feast/infra/offline_stores/snowflake_source.py @@ -55,6 +55,7 @@ def __init__( """ if table is None and query is None: raise ValueError('No "table" argument provided.') + # The default Snowflake schema is named "PUBLIC". _schema = "PUBLIC" if (database and table and not schema) else schema @@ -112,6 +113,7 @@ def from_proto(data_source: DataSourceProto): A SnowflakeSource object based on the data_source protobuf. """ return SnowflakeSource( + name=data_source.name, field_mapping=dict(data_source.field_mapping), database=data_source.snowflake_options.database, schema=data_source.snowflake_options.schema, @@ -136,18 +138,12 @@ def __eq__(self, other): ) return ( - self.name == other.name - and self.snowflake_options.database == other.snowflake_options.database - and self.snowflake_options.schema == other.snowflake_options.schema - and self.snowflake_options.table == other.snowflake_options.table - and self.snowflake_options.query == other.snowflake_options.query - and self.snowflake_options.warehouse == other.snowflake_options.warehouse - and self.timestamp_field == other.timestamp_field - and self.created_timestamp_column == other.created_timestamp_column - and self.field_mapping == other.field_mapping - and self.description == other.description - and self.tags == other.tags - and self.owner == other.owner + super().__eq__(other) + and self.database == other.database + and self.schema == other.schema + and self.table == other.table + and self.query == other.query + and self.warehouse == other.warehouse ) @property @@ -183,6 +179,7 @@ def to_proto(self) -> DataSourceProto: A DataSourceProto object. """ data_source_proto = DataSourceProto( + name=self.name, type=DataSourceProto.BATCH_SNOWFLAKE, field_mapping=self.field_mapping, snowflake_options=self.snowflake_options.to_proto(), @@ -252,7 +249,7 @@ def get_table_column_names_and_types( class SnowflakeOptions: """ - DataSource snowflake options used to source features from snowflake query. + Configuration options for a Snowflake data source. """ def __init__( @@ -263,61 +260,11 @@ def __init__( query: Optional[str], warehouse: Optional[str], ): - self._database = database - self._schema = schema - self._table = table - self._query = query - self._warehouse = warehouse - - @property - def query(self): - """Returns the snowflake SQL query referenced by this source.""" - return self._query - - @query.setter - def query(self, query): - """Sets the snowflake SQL query referenced by this source.""" - self._query = query - - @property - def database(self): - """Returns the database name of this snowflake table.""" - return self._database - - @database.setter - def database(self, database): - """Sets the database ref of this snowflake table.""" - self._database = database - - @property - def schema(self): - """Returns the schema name of this snowflake table.""" - return self._schema - - @schema.setter - def schema(self, schema): - """Sets the schema of this snowflake table.""" - self._schema = schema - - @property - def table(self): - """Returns the table name of this snowflake table.""" - return self._table - - @table.setter - def table(self, table): - """Sets the table ref of this snowflake table.""" - self._table = table - - @property - def warehouse(self): - """Returns the warehouse name of this snowflake table.""" - return self._warehouse - - @warehouse.setter - def warehouse(self, warehouse): - """Sets the warehouse name of this snowflake table.""" - self._warehouse = warehouse + self.database = database or "" + self.schema = schema or "" + self.table = table or "" + self.query = query or "" + self.warehouse = warehouse or "" @classmethod def from_proto(cls, snowflake_options_proto: DataSourceProto.SnowflakeOptions): diff --git a/sdk/python/feast/infra/passthrough_provider.py b/sdk/python/feast/infra/passthrough_provider.py index 3468b9dc927..09ca98d86d3 100644 --- a/sdk/python/feast/infra/passthrough_provider.py +++ b/sdk/python/feast/infra/passthrough_provider.py @@ -136,7 +136,7 @@ def materialize_single_feature_view( ( join_key_columns, feature_name_columns, - event_timestamp_column, + timestamp_field, created_timestamp_column, ) = _get_column_names(feature_view, entities) @@ -145,7 +145,7 @@ def materialize_single_feature_view( data_source=feature_view.batch_source, join_key_columns=join_key_columns, feature_name_columns=feature_name_columns, - event_timestamp_column=event_timestamp_column, + timestamp_field=timestamp_field, created_timestamp_column=created_timestamp_column, start_date=start_date, end_date=end_date, @@ -210,7 +210,7 @@ def retrieve_saved_dataset( data_source=dataset.storage.to_data_source(), join_key_columns=dataset.join_keys, feature_name_columns=feature_name_columns, - event_timestamp_column=event_ts_column, + timestamp_field=event_ts_column, start_date=make_tzaware(dataset.min_event_timestamp), # type: ignore end_date=make_tzaware(dataset.max_event_timestamp + timedelta(seconds=1)), # type: ignore ) diff --git a/sdk/python/feast/infra/provider.py b/sdk/python/feast/infra/provider.py index b379193ba38..a71bd6d2d06 100644 --- a/sdk/python/feast/infra/provider.py +++ b/sdk/python/feast/infra/provider.py @@ -258,7 +258,7 @@ def _get_column_names( the query to the offline store. """ # if we have mapped fields, use the original field names in the call to the offline store - event_timestamp_column = feature_view.batch_source.timestamp_field + timestamp_field = feature_view.batch_source.timestamp_field feature_names = [feature.name for feature in feature_view.features] created_timestamp_column = feature_view.batch_source.created_timestamp_column join_keys = [ @@ -268,10 +268,10 @@ def _get_column_names( reverse_field_mapping = { v: k for k, v in feature_view.batch_source.field_mapping.items() } - event_timestamp_column = ( - reverse_field_mapping[event_timestamp_column] - if event_timestamp_column in reverse_field_mapping.keys() - else event_timestamp_column + timestamp_field = ( + reverse_field_mapping[timestamp_field] + if timestamp_field in reverse_field_mapping.keys() + else timestamp_field ) created_timestamp_column = ( reverse_field_mapping[created_timestamp_column] @@ -294,13 +294,13 @@ def _get_column_names( name for name in feature_names if name not in join_keys - and name != event_timestamp_column + and name != timestamp_field and name != created_timestamp_column ] return ( join_keys, feature_names, - event_timestamp_column, + timestamp_field, created_timestamp_column, ) diff --git a/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py b/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py index e2a700d0677..ba36f8e89be 100644 --- a/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py +++ b/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py @@ -34,7 +34,7 @@ def create_data_source( event_timestamp_column: (Deprecated) Pass through for the underlying data source. created_timestamp_column: Pass through for the underlying data source. field_mapping: Pass through for the underlying data source. - timestamp_field: (Deprecated) Pass through for the underlying data source. + timestamp_field: Pass through for the underlying data source. Returns: diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/trino.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/trino.py index 07ae210b12c..ddcfafd31a7 100644 --- a/sdk/python/tests/integration/feature_repos/universal/data_sources/trino.py +++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/trino.py @@ -92,7 +92,7 @@ def create_data_source( return TrinoSource( name="ci_trino_offline_store", table=destination_name, - event_timestamp_column=timestamp_field, + timestamp_field=timestamp_field, created_timestamp_column=created_timestamp_column, query=f"SELECT * FROM {destination_name}", field_mapping=field_mapping or {"ts_1": "ts"}, diff --git a/sdk/python/tests/integration/online_store/test_universal_online.py b/sdk/python/tests/integration/online_store/test_universal_online.py index 774c3f9a424..f4440dbfbcf 100644 --- a/sdk/python/tests/integration/online_store/test_universal_online.py +++ b/sdk/python/tests/integration/online_store/test_universal_online.py @@ -114,9 +114,7 @@ def test_write_to_online_store_event_check(local_redis_environment): "ts_1": [hour_ago, now, now], } dataframe_source = pd.DataFrame(data) - with prep_file_source( - df=dataframe_source, event_timestamp_column="ts_1" - ) as file_source: + with prep_file_source(df=dataframe_source, timestamp_field="ts_1") as file_source: e = Entity(name="id", value_type=ValueType.STRING) # Create Feature View diff --git a/sdk/python/tests/integration/registration/test_feature_store.py b/sdk/python/tests/integration/registration/test_feature_store.py index ca61734c784..db4c6700cec 100644 --- a/sdk/python/tests/integration/registration/test_feature_store.py +++ b/sdk/python/tests/integration/registration/test_feature_store.py @@ -216,9 +216,7 @@ def test_apply_feature_view_success(test_feature_store): ) @pytest.mark.parametrize("dataframe_source", [lazy_fixture("simple_dataset_1")]) def test_feature_view_inference_success(test_feature_store, dataframe_source): - with prep_file_source( - df=dataframe_source, event_timestamp_column="ts_1" - ) as file_source: + with prep_file_source(df=dataframe_source, timestamp_field="ts_1") as file_source: entity = Entity( name="id", join_keys=["id_join_key"], value_type=ValueType.INT64 ) @@ -434,9 +432,7 @@ def test_apply_remote_repo(): ) @pytest.mark.parametrize("dataframe_source", [lazy_fixture("simple_dataset_1")]) def test_reapply_feature_view_success(test_feature_store, dataframe_source): - with prep_file_source( - df=dataframe_source, event_timestamp_column="ts_1" - ) as file_source: + with prep_file_source(df=dataframe_source, timestamp_field="ts_1") as file_source: e = Entity(name="id", join_keys=["id_join_key"], value_type=ValueType.STRING) diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py index c6819ac3c0c..8b719eb733d 100644 --- a/sdk/python/tests/integration/registration/test_inference.py +++ b/sdk/python/tests/integration/registration/test_inference.py @@ -42,9 +42,9 @@ def test_update_entities_with_inferred_types_from_feature_views( simple_dataset_1, simple_dataset_2 ): with prep_file_source( - df=simple_dataset_1, event_timestamp_column="ts_1" + df=simple_dataset_1, timestamp_field="ts_1" ) as file_source, prep_file_source( - df=simple_dataset_2, event_timestamp_column="ts_1" + df=simple_dataset_2, timestamp_field="ts_1" ) as file_source_2: fv1 = FeatureView( diff --git a/sdk/python/tests/unit/diff/test_registry_diff.py b/sdk/python/tests/unit/diff/test_registry_diff.py index 0322ab47abf..483dae73e26 100644 --- a/sdk/python/tests/unit/diff/test_registry_diff.py +++ b/sdk/python/tests/unit/diff/test_registry_diff.py @@ -7,9 +7,7 @@ def test_tag_objects_for_keep_delete_update_add(simple_dataset_1): - with prep_file_source( - df=simple_dataset_1, event_timestamp_column="ts_1" - ) as file_source: + with prep_file_source(df=simple_dataset_1, timestamp_field="ts_1") as file_source: to_delete = FeatureView( name="to_delete", entities=["id"], batch_source=file_source, ttl=None, ) @@ -53,9 +51,7 @@ def test_tag_objects_for_keep_delete_update_add(simple_dataset_1): def test_diff_registry_objects_feature_views(simple_dataset_1): - with prep_file_source( - df=simple_dataset_1, event_timestamp_column="ts_1" - ) as file_source: + with prep_file_source(df=simple_dataset_1, timestamp_field="ts_1") as file_source: pre_changed = FeatureView( name="fv2", entities=["id"], diff --git a/sdk/python/tests/unit/test_data_sources.py b/sdk/python/tests/unit/test_data_sources.py index 6bd4baf4fa9..7f288d36db9 100644 --- a/sdk/python/tests/unit/test_data_sources.py +++ b/sdk/python/tests/unit/test_data_sources.py @@ -3,6 +3,7 @@ from feast import ValueType from feast.data_format import ProtoFormat from feast.data_source import ( + DataSource, KafkaSource, KinesisSource, PushSource, @@ -11,6 +12,9 @@ ) from feast.field import Field from feast.infra.offline_stores.bigquery_source import BigQuerySource +from feast.infra.offline_stores.file_source import FileSource +from feast.infra.offline_stores.redshift_source import RedshiftSource +from feast.infra.offline_stores.snowflake_source import SnowflakeSource from feast.types import Bool, Float32, Int64 @@ -140,8 +144,112 @@ def test_default_data_source_kw_arg_warning(): # No name warning for DataSource with pytest.warns(UserWarning): source = KafkaSource( - event_timestamp_column="column", + timestamp_field="column", bootstrap_servers="bootstrap_servers", message_format=ProtoFormat("class_path"), topic="topic", ) + + +def test_proto_conversion(): + bigquery_source = BigQuerySource( + name="test_source", + table="test_table", + timestamp_field="event_timestamp", + created_timestamp_column="created_timestamp", + field_mapping={"foo": "bar"}, + description="test description", + tags={"test": "test"}, + owner="test@gmail.com", + ) + + file_source = FileSource( + name="test_source", + path="test_path", + timestamp_field="event_timestamp", + created_timestamp_column="created_timestamp", + field_mapping={"foo": "bar"}, + description="test description", + tags={"test": "test"}, + owner="test@gmail.com", + ) + + redshift_source = RedshiftSource( + name="test_source", + database="test_database", + schema="test_schema", + table="test_table", + timestamp_field="event_timestamp", + created_timestamp_column="created_timestamp", + field_mapping={"foo": "bar"}, + description="test description", + tags={"test": "test"}, + owner="test@gmail.com", + ) + + snowflake_source = SnowflakeSource( + name="test_source", + database="test_database", + warehouse="test_warehouse", + schema="test_schema", + table="test_table", + timestamp_field="event_timestamp", + created_timestamp_column="created_timestamp", + field_mapping={"foo": "bar"}, + description="test description", + tags={"test": "test"}, + owner="test@gmail.com", + ) + + kafka_source = KafkaSource( + name="test_source", + bootstrap_servers="test_servers", + message_format=ProtoFormat("class_path"), + topic="test_topic", + timestamp_field="event_timestamp", + created_timestamp_column="created_timestamp", + field_mapping={"foo": "bar"}, + description="test description", + tags={"test": "test"}, + owner="test@gmail.com", + batch_source=file_source, + ) + + kinesis_source = KinesisSource( + name="test_source", + region="test_region", + record_format=ProtoFormat("class_path"), + stream_name="test_stream", + timestamp_field="event_timestamp", + created_timestamp_column="created_timestamp", + field_mapping={"foo": "bar"}, + description="test description", + tags={"test": "test"}, + owner="test@gmail.com", + batch_source=file_source, + ) + + push_source = PushSource( + name="test_source", + batch_source=file_source, + description="test description", + tags={"test": "test"}, + owner="test@gmail.com", + ) + + request_source = RequestSource( + name="test_source", + schema=[Field(name="test1", dtype=Float32), Field(name="test1", dtype=Int64)], + description="test description", + tags={"test": "test"}, + owner="test@gmail.com", + ) + + assert DataSource.from_proto(bigquery_source.to_proto()) == bigquery_source + assert DataSource.from_proto(file_source.to_proto()) == file_source + assert DataSource.from_proto(redshift_source.to_proto()) == redshift_source + assert DataSource.from_proto(snowflake_source.to_proto()) == snowflake_source + assert DataSource.from_proto(kafka_source.to_proto()) == kafka_source + assert DataSource.from_proto(kinesis_source.to_proto()) == kinesis_source + assert DataSource.from_proto(push_source.to_proto()) == push_source + assert DataSource.from_proto(request_source.to_proto()) == request_source diff --git a/sdk/python/tests/unit/test_feature_views.py b/sdk/python/tests/unit/test_feature_views.py index d78788f3aed..8708a983c41 100644 --- a/sdk/python/tests/unit/test_feature_views.py +++ b/sdk/python/tests/unit/test_feature_views.py @@ -25,7 +25,7 @@ def test_create_batch_feature_view(): stream_source = KafkaSource( name="kafka", - event_timestamp_column="", + timestamp_field="", bootstrap_servers="", message_format=AvroFormat(""), topic="topic", @@ -43,7 +43,7 @@ def test_create_batch_feature_view(): def test_create_stream_feature_view(): stream_source = KafkaSource( name="kafka", - event_timestamp_column="", + timestamp_field="", bootstrap_servers="", message_format=AvroFormat(""), topic="topic", diff --git a/sdk/python/tests/utils/data_source_utils.py b/sdk/python/tests/utils/data_source_utils.py index 5bb5a622d61..d5f45964ca7 100644 --- a/sdk/python/tests/utils/data_source_utils.py +++ b/sdk/python/tests/utils/data_source_utils.py @@ -11,19 +11,17 @@ @contextlib.contextmanager -def prep_file_source(df, event_timestamp_column=None) -> Iterator[FileSource]: +def prep_file_source(df, timestamp_field=None) -> Iterator[FileSource]: with tempfile.NamedTemporaryFile(suffix=".parquet") as f: f.close() df.to_parquet(f.name) file_source = FileSource( - file_format=ParquetFormat(), - path=f.name, - timestamp_field=event_timestamp_column, + file_format=ParquetFormat(), path=f.name, timestamp_field=timestamp_field, ) yield file_source -def simple_bq_source_using_table_arg(df, event_timestamp_column=None) -> BigQuerySource: +def simple_bq_source_using_table_arg(df, timestamp_field=None) -> BigQuerySource: client = bigquery.Client() gcp_project = client.project bigquery_dataset = f"ds_{time.time_ns()}" @@ -40,13 +38,13 @@ def simple_bq_source_using_table_arg(df, event_timestamp_column=None) -> BigQuer job = client.load_table_from_dataframe(df, table) job.result() - return BigQuerySource(table=table, timestamp_field=event_timestamp_column,) + return BigQuerySource(table=table, timestamp_field=timestamp_field,) -def simple_bq_source_using_query_arg(df, event_timestamp_column=None) -> BigQuerySource: - bq_source_using_table = simple_bq_source_using_table_arg(df, event_timestamp_column) +def simple_bq_source_using_query_arg(df, timestamp_field=None) -> BigQuerySource: + bq_source_using_table = simple_bq_source_using_table_arg(df, timestamp_field) return BigQuerySource( name=bq_source_using_table.table, query=f"SELECT * FROM {bq_source_using_table.table}", - timestamp_field=event_timestamp_column, + timestamp_field=timestamp_field, ) From c9eda79c7b1169ef05a481a96f07960c014e88b9 Mon Sep 17 00:00:00 2001 From: Aurobindo Mondal Date: Mon, 25 Apr 2022 22:14:24 +0530 Subject: [PATCH 34/87] feat: Add hbase online store support in feast (#2590) * Resolved conflict with latest master Signed-off-by: aurobindoc * Fixed lint and format Signed-off-by: aurobindoc * Added documentation for hbase online store Signed-off-by: aurobindoc * Minor update in documentation for hbase online store Signed-off-by: aurobindoc * Added docstrings for all the method of hbase online store Signed-off-by: aurobindoc * Added template for hbase online store Signed-off-by: aurobindoc * fixed docstring tests Signed-off-by: aurobindoc * Addressed review comments Signed-off-by: aurobindoc * resolves a couple of nits Signed-off-by: aurobindoc --- CONTRIBUTING.md | 1 + sdk/python/feast/cli.py | 3 +- .../contrib/hbase_online_store/README.md | 78 ++++++ .../contrib/hbase_online_store/__init__.py | 0 .../contrib/hbase_online_store/hbase.py | 234 ++++++++++++++++++ .../contrib/hbase_repo_configuration.py | 10 + sdk/python/feast/infra/utils/hbase_utils.py | 189 ++++++++++++++ sdk/python/feast/repo_config.py | 1 + sdk/python/feast/templates/hbase/__init__.py | 0 sdk/python/feast/templates/hbase/bootstrap.py | 35 +++ sdk/python/feast/templates/hbase/example.py | 36 +++ .../feast/templates/hbase/feature_store.yaml | 7 + sdk/python/setup.py | 6 + .../universal/online_store/hbase.py | 28 +++ 14 files changed, 627 insertions(+), 1 deletion(-) create mode 100644 sdk/python/feast/infra/online_stores/contrib/hbase_online_store/README.md create mode 100644 sdk/python/feast/infra/online_stores/contrib/hbase_online_store/__init__.py create mode 100644 sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py create mode 100644 sdk/python/feast/infra/online_stores/contrib/hbase_repo_configuration.py create mode 100644 sdk/python/feast/infra/utils/hbase_utils.py create mode 100644 sdk/python/feast/templates/hbase/__init__.py create mode 100644 sdk/python/feast/templates/hbase/bootstrap.py create mode 100644 sdk/python/feast/templates/hbase/example.py create mode 100644 sdk/python/feast/templates/hbase/feature_store.yaml create mode 100644 sdk/python/tests/integration/feature_repos/universal/online_store/hbase.py diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index de242fea540..05dc1e3edaa 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -177,6 +177,7 @@ The services with containerized replacements currently implemented are: - DynamoDB - Redis - Trino +- HBase You can run `make test-python-integration-container` to run tests against the containerized versions of dependencies. diff --git a/sdk/python/feast/cli.py b/sdk/python/feast/cli.py index ec5b6cd1b64..bb920c35376 100644 --- a/sdk/python/feast/cli.py +++ b/sdk/python/feast/cli.py @@ -539,7 +539,8 @@ def materialize_incremental_command(ctx: click.Context, end_ts: str, views: List "--template", "-t", type=click.Choice( - ["local", "gcp", "aws", "snowflake", "spark", "postgres"], case_sensitive=False + ["local", "gcp", "aws", "snowflake", "spark", "postgres", "hbase"], + case_sensitive=False, ), help="Specify a template for the created project", default="local", diff --git a/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/README.md b/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/README.md new file mode 100644 index 00000000000..651e4e90b80 --- /dev/null +++ b/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/README.md @@ -0,0 +1,78 @@ +# HBase Online Store +HBase is not included in current [Feast](https://github.com/feast-dev/feast) roadmap, this project intends to add HBase support for Online Store. +We create a table _ which gets updated with data on every materialize call + + +#### Create a feature repository + +```shell +feast init feature_repo +cd feature_repo +``` + +#### Edit `feature_store.yaml` + +set `online_store` type to be `hbase` + +```yaml +project: feature_repo +registry: data/registry.db +provider: local +online_store: + type: hbase + host: 127.0.0.1 # hbase thrift endpoint + port: 9090 # hbase thrift api port +``` + +#### Apply the feature definitions in `example.py` + +```shell +feast -c feature_repo apply +``` +##### Output +``` +Registered entity driver_id +Registered feature view driver_hourly_stats_view +Deploying infrastructure for driver_hourly_stats_view +``` + +### Materialize Latest Data to Online Feature Store (HBase) +``` +$ CURRENT_TIME=$(date -u +"%Y-%m-%dT%H:%M:%S") +$ feast -c feature_repo materialize-incremental $CURRENT_TIME +``` +#### Output +``` +Materializing 1 feature views from 2022-04-16 15:30:39+05:30 to 2022-04-19 15:31:04+05:30 into the hbase online store. + +driver_hourly_stats_view from 2022-04-16 15:30:39+05:30 to 2022-04-19 15:31:04+05:30: +100%|████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 120.59it/s] +``` + +### Fetch the latest features for some entity id +```python +from pprint import pprint +from feast import FeatureStore + +store = FeatureStore(repo_path=".") +feature_vector = store.get_online_features( + features=[ + "driver_hourly_stats:conv_rate", + "driver_hourly_stats:acc_rate", + "driver_hourly_stats:avg_daily_trips", + ], + entity_rows=[ + {"driver_id": 1004}, + {"driver_id": 1005}, + ], +).to_dict() +pprint(feature_vector) + +``` +#### Output +``` +{'acc_rate': [0.01390857808291912, 0.4063614010810852], + 'avg_daily_trips': [69, 706], + 'conv_rate': [0.6624961495399475, 0.7595928311347961], + 'driver_id': [1004, 1005]} +``` \ No newline at end of file diff --git a/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/__init__.py b/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py b/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py new file mode 100644 index 00000000000..0c0945e7863 --- /dev/null +++ b/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py @@ -0,0 +1,234 @@ +import calendar +import struct +from datetime import datetime +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple + +from happybase import Connection +from pydantic.typing import Literal + +from feast import Entity +from feast.feature_view import FeatureView +from feast.infra.key_encoding_utils import serialize_entity_key +from feast.infra.online_stores.online_store import OnlineStore +from feast.infra.utils.hbase_utils import HbaseConstants, HbaseUtils +from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto +from feast.protos.feast.types.Value_pb2 import Value as ValueProto +from feast.repo_config import FeastConfigBaseModel, RepoConfig + + +class HbaseOnlineStoreConfig(FeastConfigBaseModel): + """Online store config for Hbase store""" + + type: Literal["hbase"] = "hbase" + """Online store type selector""" + + host: str + """Hostname of Hbase Thrift server""" + + port: str + """Port in which Hbase Thrift server is running""" + + +class HbaseConnection: + """ + Hbase connecttion to connect to hbase. + + Attributes: + store_config: Online store config for Hbase store. + """ + + def __init__(self, store_config: HbaseOnlineStoreConfig): + self._store_config = store_config + self._real_conn = Connection( + host=store_config.host, port=int(store_config.port) + ) + + @property + def real_conn(self) -> Connection: + """Stores the real happybase Connection to connect to hbase.""" + return self._real_conn + + def close(self) -> None: + """Close the happybase connection.""" + self.real_conn.close() + + +class HbaseOnlineStore(OnlineStore): + """ + Online feature store for Hbase. + + Attributes: + _conn: Happybase Connection to connect to hbase thrift server. + """ + + _conn: Connection = None + + def _get_conn(self, config: RepoConfig): + """ + Get or Create Hbase Connection from Repoconfig. + + Args: + config: The RepoConfig for the current FeatureStore. + """ + + store_config = config.online_store + assert isinstance(store_config, HbaseOnlineStoreConfig) + + if not self._conn: + self._conn = Connection(host=store_config.host, port=int(store_config.port)) + return self._conn + + def online_write_batch( + self, + config: RepoConfig, + table: FeatureView, + data: List[ + Tuple[EntityKeyProto, Dict[str, ValueProto], datetime, Optional[datetime]] + ], + progress: Optional[Callable[[int], Any]], + ) -> None: + """ + Write a batch of feature rows to Hbase online store. + + Args: + config: The RepoConfig for the current FeatureStore. + table: Feast FeatureView. + data: a list of quadruplets containing Feature data. Each quadruplet contains an Entity Key, + a dict containing feature values, an event timestamp for the row, and + the created timestamp for the row if it exists. + progress: Optional function to be called once every mini-batch of rows is written to + the online store. Can be used to display progress. + """ + + hbase = HbaseUtils(self._get_conn(config)) + project = config.project + table_name = _table_id(project, table) + + b = hbase.batch(table_name) + for entity_key, values, timestamp, created_ts in data: + row_key = serialize_entity_key(entity_key).hex() + values_dict = {} + for feature_name, val in values.items(): + values_dict[ + HbaseConstants.get_col_from_feature(feature_name) + ] = val.SerializeToString() + if isinstance(timestamp, datetime): + values_dict[HbaseConstants.DEFAULT_EVENT_TS] = struct.pack( + ">L", int(calendar.timegm(timestamp.timetuple())) + ) + else: + values_dict[HbaseConstants.DEFAULT_EVENT_TS] = timestamp + if created_ts is not None: + if isinstance(created_ts, datetime): + values_dict[HbaseConstants.DEFAULT_CREATED_TS] = struct.pack( + ">L", int(calendar.timegm(created_ts.timetuple())) + ) + else: + values_dict[HbaseConstants.DEFAULT_CREATED_TS] = created_ts + b.put(row_key, values_dict) + b.send() + + def online_read( + self, + config: RepoConfig, + table: FeatureView, + entity_keys: List[EntityKeyProto], + requested_features: Optional[List[str]] = None, + ) -> List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]]: + """ + Retrieve feature values from the Hbase online store. + + Args: + config: The RepoConfig for the current FeatureStore. + table: Feast FeatureView. + entity_keys: a list of entity keys that should be read from the FeatureStore. + """ + hbase = HbaseUtils(self._get_conn(config)) + project = config.project + table_name = _table_id(project, table) + + result: List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]] = [] + + row_keys = [ + serialize_entity_key(entity_key).hex() for entity_key in entity_keys + ] + rows = hbase.rows(table_name, row_keys=row_keys) + + for _, row in rows: + res = {} + res_ts = None + for feature_name, feature_value in row.items(): + f_name = HbaseConstants.get_feature_from_col(feature_name) + if requested_features is not None and f_name in requested_features: + v = ValueProto() + v.ParseFromString(feature_value) + res[f_name] = v + if f_name is HbaseConstants.EVENT_TS: + ts = struct.unpack(">L", feature_value)[0] + res_ts = datetime.fromtimestamp(ts) + if not res: + result.append((None, None)) + else: + result.append((res_ts, res)) + return result + + def update( + self, + config: RepoConfig, + tables_to_delete: Sequence[FeatureView], + tables_to_keep: Sequence[FeatureView], + entities_to_delete: Sequence[Entity], + entities_to_keep: Sequence[Entity], + partial: bool, + ): + """ + Update tables from the Hbase Online Store. + + Args: + config: The RepoConfig for the current FeatureStore. + tables_to_delete: Tables to delete from the Hbase Online Store. + tables_to_keep: Tables to keep in the Hbase Online Store. + """ + hbase = HbaseUtils(self._get_conn(config)) + project = config.project + + # We don't create any special state for the entites in this implementation. + for table in tables_to_keep: + table_name = _table_id(project, table) + if not hbase.check_if_table_exist(table_name): + hbase.create_table_with_default_cf(table_name) + + for table in tables_to_delete: + table_name = _table_id(project, table) + hbase.delete_table(table_name) + + def teardown( + self, + config: RepoConfig, + tables: Sequence[FeatureView], + entities: Sequence[Entity], + ): + """ + Delete tables from the Hbase Online Store. + + Args: + config: The RepoConfig for the current FeatureStore. + tables: Tables to delete from the feature repo. + """ + hbase = HbaseUtils(self._get_conn(config)) + project = config.project + + for table in tables: + table_name = _table_id(project, table) + hbase.delete_table(table_name) + + +def _table_id(project: str, table: FeatureView) -> str: + """ + Returns table name given the project_name and the feature_view. + + Args: + project: Name of the feast project. + table: Feast FeatureView. + """ + return f"{project}_{table.name}" diff --git a/sdk/python/feast/infra/online_stores/contrib/hbase_repo_configuration.py b/sdk/python/feast/infra/online_stores/contrib/hbase_repo_configuration.py new file mode 100644 index 00000000000..4e32a654b55 --- /dev/null +++ b/sdk/python/feast/infra/online_stores/contrib/hbase_repo_configuration.py @@ -0,0 +1,10 @@ +from tests.integration.feature_repos.integration_test_repo_config import ( + IntegrationTestRepoConfig, +) +from tests.integration.feature_repos.universal.online_store.hbase import ( + HbaseOnlineStoreCreator, +) + +FULL_REPO_CONFIGS = [ + IntegrationTestRepoConfig(online_store_creator=HbaseOnlineStoreCreator), +] diff --git a/sdk/python/feast/infra/utils/hbase_utils.py b/sdk/python/feast/infra/utils/hbase_utils.py new file mode 100644 index 00000000000..78a39caed8b --- /dev/null +++ b/sdk/python/feast/infra/utils/hbase_utils.py @@ -0,0 +1,189 @@ +from typing import List + +from happybase import Connection + +from feast.infra.key_encoding_utils import serialize_entity_key +from feast.protos.feast.types.EntityKey_pb2 import EntityKey + + +class HbaseConstants: + """Constants to be used by the Hbase Online Store.""" + + DEFAULT_COLUMN_FAMILY = "default" + EVENT_TS = "event_ts" + CREATED_TS = "created_ts" + DEFAULT_EVENT_TS = DEFAULT_COLUMN_FAMILY + ":" + EVENT_TS + DEFAULT_CREATED_TS = DEFAULT_COLUMN_FAMILY + ":" + CREATED_TS + + @staticmethod + def get_feature_from_col(col): + """Given the column name, exclude the column family to get the feature name.""" + return col.decode("utf-8").split(":")[1] + + @staticmethod + def get_col_from_feature(feature): + """Given the feature name, add the column family to get the column name.""" + if isinstance(feature, bytes): + feature = feature.decode("utf-8") + return HbaseConstants.DEFAULT_COLUMN_FAMILY + ":" + feature + + +class HbaseUtils: + """ + Utils class to manage different Hbase operations. + + Attributes: + conn: happybase Connection to connect to hbase. + host: hostname of the hbase thrift server. + port: port in which thrift server is running. + timeout: socket timeout in milliseconds. + """ + + def __init__( + self, conn: Connection = None, host: str = None, port: int = None, timeout=None + ): + if conn is None: + self.host = host + self.port = port + self.conn = Connection(host=host, port=port, timeout=timeout) + else: + self.conn = conn + + def create_table(self, table_name: str, colm_family: List[str]): + """ + Create table in hbase online store. + + Arguments: + table_name: Name of the Hbase table. + colm_family: List of names of column families to be created in the hbase table. + """ + cf_dict: dict = {} + for cf in colm_family: + cf_dict[cf] = dict() + return self.conn.create_table(table_name, cf_dict) + + def create_table_with_default_cf(self, table_name: str): + """ + Create table in hbase online store with one column family "default". + + Arguments: + table_name: Name of the Hbase table. + """ + return self.conn.create_table(table_name, {"default": dict()}) + + def check_if_table_exist(self, table_name: str): + """ + Check if table exists in hbase. + + Arguments: + table_name: Name of the Hbase table. + """ + return bytes(table_name, "utf-8") in self.conn.tables() + + def batch(self, table_name: str): + """ + Returns a 'Batch' instance that can be used for mass data manipulation in the hbase table. + + Arguments: + table_name: Name of the Hbase table. + """ + return self.conn.table(table_name).batch() + + def put(self, table_name: str, row_key: str, data: dict): + """ + Store data in the hbase table. + + Arguments: + table_name: Name of the Hbase table. + row_key: Row key of the row to be inserted to hbase table. + data: Mapping of column family name:column name to column values + """ + table = self.conn.table(table_name) + table.put(row_key, data) + + def row( + self, + table_name: str, + row_key, + columns=None, + timestamp=None, + include_timestamp=False, + ): + """ + Fetch a row of data from the hbase table. + + Arguments: + table_name: Name of the Hbase table. + row_key: Row key of the row to be inserted to hbase table. + columns: the name of columns that needs to be fetched. + timestamp: timestamp specifies the maximum version the cells can have. + include_timestamp: specifies if (column, timestamp) to be return instead of only column. + """ + table = self.conn.table(table_name) + return table.row(row_key, columns, timestamp, include_timestamp) + + def rows( + self, + table_name: str, + row_keys, + columns=None, + timestamp=None, + include_timestamp=False, + ): + """ + Fetch multiple rows of data from the hbase table. + + Arguments: + table_name: Name of the Hbase table. + row_keys: List of row key of the row to be inserted to hbase table. + columns: the name of columns that needs to be fetched. + timestamp: timestamp specifies the maximum version the cells can have. + include_timestamp: specifies if (column, timestamp) to be return instead of only column. + """ + table = self.conn.table(table_name) + return table.rows(row_keys, columns, timestamp, include_timestamp) + + def print_table(self, table_name): + """Prints the table scanning all the rows of the hbase table.""" + table = self.conn.table(table_name) + scan_data = table.scan() + for row_key, cols in scan_data: + print(row_key.decode("utf-8"), cols) + + def delete_table(self, table: str): + """Deletes the hbase table given the table name.""" + if self.check_if_table_exist(table): + self.conn.delete_table(table, disable=True) + + def close_conn(self): + """Closes the happybase connection.""" + self.conn.close() + + +def main(): + from feast.protos.feast.types.Value_pb2 import Value + + connection = Connection(host="localhost", port=9090) + table = connection.table("test_hbase_driver_hourly_stats") + row_keys = [ + serialize_entity_key( + EntityKey(join_keys=["driver_id"], entity_values=[Value(int64_val=1004)]) + ).hex(), + serialize_entity_key( + EntityKey(join_keys=["driver_id"], entity_values=[Value(int64_val=1005)]) + ).hex(), + serialize_entity_key( + EntityKey(join_keys=["driver_id"], entity_values=[Value(int64_val=1024)]) + ).hex(), + ] + rows = table.rows(row_keys) + + for row_key, row in rows: + for key, value in row.items(): + col_name = bytes.decode(key, "utf-8").split(":")[1] + print(col_name, value) + print() + + +if __name__ == "__main__": + main() diff --git a/sdk/python/feast/repo_config.py b/sdk/python/feast/repo_config.py index 5ea7a8979f9..ef1871f2fe6 100644 --- a/sdk/python/feast/repo_config.py +++ b/sdk/python/feast/repo_config.py @@ -36,6 +36,7 @@ "dynamodb": "feast.infra.online_stores.dynamodb.DynamoDBOnlineStore", "snowflake.online": "feast.infra.online_stores.snowflake.SnowflakeOnlineStore", "postgres": "feast.infra.online_stores.contrib.postgres.PostgreSQLOnlineStore", + "hbase": "feast.infra.online_stores.contrib.hbase_online_store.hbase.HbaseOnlineStore", } OFFLINE_STORE_CLASS_FOR_TYPE = { diff --git a/sdk/python/feast/templates/hbase/__init__.py b/sdk/python/feast/templates/hbase/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/sdk/python/feast/templates/hbase/bootstrap.py b/sdk/python/feast/templates/hbase/bootstrap.py new file mode 100644 index 00000000000..4013ca5a8d6 --- /dev/null +++ b/sdk/python/feast/templates/hbase/bootstrap.py @@ -0,0 +1,35 @@ +def bootstrap(): + # Bootstrap() will automatically be called from the init_repo() during `feast init` + + import pathlib + from datetime import datetime, timedelta + + from feast.driver_test_data import create_driver_hourly_stats_df + + repo_path = pathlib.Path(__file__).parent.absolute() + data_path = repo_path / "data" + data_path.mkdir(exist_ok=True) + + end_date = datetime.now().replace(microsecond=0, second=0, minute=0) + start_date = end_date - timedelta(days=15) + + driver_entities = [1001, 1002, 1003, 1004, 1005] + driver_df = create_driver_hourly_stats_df(driver_entities, start_date, end_date) + + driver_stats_path = data_path / "driver_stats.parquet" + driver_df.to_parquet(path=str(driver_stats_path), allow_truncated_timestamps=True) + + example_py_file = repo_path / "example.py" + replace_str_in_file(example_py_file, "%PARQUET_PATH%", str(driver_stats_path)) + + +def replace_str_in_file(file_path, match_str, sub_str): + with open(file_path, "r") as f: + contents = f.read() + contents = contents.replace(match_str, sub_str) + with open(file_path, "wt") as f: + f.write(contents) + + +if __name__ == "__main__": + bootstrap() diff --git a/sdk/python/feast/templates/hbase/example.py b/sdk/python/feast/templates/hbase/example.py new file mode 100644 index 00000000000..1d441e0e995 --- /dev/null +++ b/sdk/python/feast/templates/hbase/example.py @@ -0,0 +1,36 @@ +# This is an example feature definition file + +from datetime import timedelta + +from feast import Entity, FeatureView, Field, FileSource, ValueType +from feast.types import Float32, Int64 + +# Read data from parquet files. Parquet is convenient for local development mode. For +# production, you can use your favorite DWH, such as BigQuery. See Feast documentation +# for more info. +driver_hourly_stats = FileSource( + path="%PARQUET_PATH%", + timestamp_field="event_timestamp", + created_timestamp_column="created", +) + +# Define an entity for the driver. You can think of entity as a primary key used to +# fetch features. +driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64,) + +# Our parquet files contain sample data that includes a driver_id column, timestamps and +# three feature column. Here we define a Feature View that will allow us to serve this +# data to our model online. +driver_hourly_stats_view = FeatureView( + name="driver_hourly_stats", + entities=["driver"], + ttl=timedelta(days=1), + schema=[ + Field(name="conv_rate", dtype=Float32), + Field(name="acc_rate", dtype=Float32), + Field(name="avg_daily_trips", dtype=Int64), + ], + online=True, + source=driver_hourly_stats, + tags={}, +) diff --git a/sdk/python/feast/templates/hbase/feature_store.yaml b/sdk/python/feast/templates/hbase/feature_store.yaml new file mode 100644 index 00000000000..83ce237b715 --- /dev/null +++ b/sdk/python/feast/templates/hbase/feature_store.yaml @@ -0,0 +1,7 @@ +project: my_project +registry: data/registry.db +provider: local +online_store: + type: hbase + host: 127.0.0.1 + port: 9090 diff --git a/sdk/python/setup.py b/sdk/python/setup.py index b02993d68cd..3d076be7760 100644 --- a/sdk/python/setup.py +++ b/sdk/python/setup.py @@ -109,6 +109,10 @@ "psycopg2-binary>=2.8.3", ] +HBASE_REQUIRED = [ + "happybase>=1.2.0", +] + GE_REQUIRED = [ "great_expectations>=0.14.0,<0.15.0" ] @@ -168,6 +172,7 @@ + POSTGRES_REQUIRED + TRINO_REQUIRED + GE_REQUIRED + + HBASE_REQUIRED ) DEV_REQUIRED = ["mypy-protobuf==3.1", "grpcio-testing==1.*"] + CI_REQUIRED @@ -444,6 +449,7 @@ def copy_extensions_to_source(self): "trino": TRINO_REQUIRED, "postgres": POSTGRES_REQUIRED, "ge": GE_REQUIRED, + "hbase": HBASE_REQUIRED, "go": GO_REQUIRED, }, include_package_data=True, diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store/hbase.py b/sdk/python/tests/integration/feature_repos/universal/online_store/hbase.py new file mode 100644 index 00000000000..e53435bc0f6 --- /dev/null +++ b/sdk/python/tests/integration/feature_repos/universal/online_store/hbase.py @@ -0,0 +1,28 @@ +from typing import Dict + +from testcontainers.core.container import DockerContainer +from testcontainers.core.waiting_utils import wait_for_logs + +from tests.integration.feature_repos.universal.online_store_creator import ( + OnlineStoreCreator, +) + + +class HbaseOnlineStoreCreator(OnlineStoreCreator): + def __init__(self, project_name: str): + super().__init__(project_name) + self.container = DockerContainer("harisekhon/hbase").with_exposed_ports("9090") + + def create_online_store(self) -> Dict[str, str]: + self.container.start() + log_string_to_wait_for = ( + "Initializing Hbase Local with the following configuration:" + ) + wait_for_logs( + container=self.container, predicate=log_string_to_wait_for, timeout=5 + ) + exposed_port = self.container.get_exposed_port("9090") + return {"type": "hbase", "host": "127.0.0.1", "port": exposed_port} + + def teardown(self): + self.container.stop() From 689d20bd0e4da91b9d24878d86787dede0c68f6d Mon Sep 17 00:00:00 2001 From: Kevin Zhang Date: Tue, 26 Apr 2022 11:16:31 -0700 Subject: [PATCH 35/87] fix: Update field api to add tag parameter corresponding to labels in Feature. (#2610) * Fix tags Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Convert field to use optional kw args Signed-off-by: Kevin Zhang * fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang * Fix java tests Signed-off-by: Kevin Zhang --- .../feast/serving/util/DataGenerator.java | 16 +++++------ protos/feast/core/Feature.proto | 4 +-- sdk/python/feast/feature.py | 4 +-- sdk/python/feast/field.py | 28 +++++++++++++++---- 4 files changed, 34 insertions(+), 18 deletions(-) diff --git a/java/serving/src/test/java/feast/serving/util/DataGenerator.java b/java/serving/src/test/java/feast/serving/util/DataGenerator.java index e38d1ce4596..7a310828d2e 100644 --- a/java/serving/src/test/java/feast/serving/util/DataGenerator.java +++ b/java/serving/src/test/java/feast/serving/util/DataGenerator.java @@ -126,11 +126,11 @@ public static EntityProto.EntitySpecV2 createEntitySpecV2( } public static FeatureProto.FeatureSpecV2 createFeatureSpecV2( - String name, ValueProto.ValueType.Enum valueType, Map labels) { + String name, ValueProto.ValueType.Enum valueType, Map tags) { return FeatureProto.FeatureSpecV2.newBuilder() .setName(name) .setValueType(valueType) - .putAllLabels(labels) + .putAllTags(tags) .build(); } @@ -140,7 +140,7 @@ public static FeatureTableSpec createFeatureTableSpec( List entities, Map features, int maxAgeSecs, - Map labels) { + Map tags) { return FeatureTableSpec.newBuilder() .setName(name) @@ -152,7 +152,7 @@ public static FeatureTableSpec createFeatureTableSpec( FeatureSpecV2.newBuilder() .setName(entry.getKey()) .setValueType(entry.getValue()) - .putAllLabels(labels) + .putAllTags(tags) .build()) .collect(Collectors.toList())) .setMaxAge(Duration.newBuilder().setSeconds(3600).build()) @@ -169,7 +169,7 @@ public static FeatureTableSpec createFeatureTableSpec( .setUri("/dev/null") .build()) .build()) - .putAllLabels(labels) + .putAllLabels(tags) .build(); } @@ -178,7 +178,7 @@ public static FeatureTableSpec createFeatureTableSpec( List entities, ImmutableMap features, int maxAgeSecs, - Map labels) { + Map tags) { return FeatureTableSpec.newBuilder() .setName(name) @@ -190,11 +190,11 @@ public static FeatureTableSpec createFeatureTableSpec( FeatureSpecV2.newBuilder() .setName(entry.getKey()) .setValueType(entry.getValue()) - .putAllLabels(labels) + .putAllTags(tags) .build()) .collect(Collectors.toList())) .setMaxAge(Duration.newBuilder().setSeconds(maxAgeSecs).build()) - .putAllLabels(labels) + .putAllLabels(tags) .build(); } diff --git a/protos/feast/core/Feature.proto b/protos/feast/core/Feature.proto index a96423bfbde..f6826bef810 100644 --- a/protos/feast/core/Feature.proto +++ b/protos/feast/core/Feature.proto @@ -31,6 +31,6 @@ message FeatureSpecV2 { // Value type of the feature. Not updatable. feast.types.ValueType.Enum value_type = 2; - // Labels for user defined metadata on a feature - map labels = 3; + // Tags for user defined metadata on a feature + map tags = 3; } diff --git a/sdk/python/feast/feature.py b/sdk/python/feast/feature.py index 57f75c90d76..d1f96c302ae 100644 --- a/sdk/python/feast/feature.py +++ b/sdk/python/feast/feature.py @@ -91,7 +91,7 @@ def to_proto(self) -> FeatureSpecProto: value_type = ValueTypeProto.Enum.Value(self.dtype.name) return FeatureSpecProto( - name=self.name, value_type=value_type, labels=self.labels, + name=self.name, value_type=value_type, tags=self.labels, ) @classmethod @@ -106,7 +106,7 @@ def from_proto(cls, feature_proto: FeatureSpecProto): feature = cls( name=feature_proto.name, dtype=ValueType(feature_proto.value_type), - labels=dict(feature_proto.labels), + labels=dict(feature_proto.tags), ) return feature diff --git a/sdk/python/feast/field.py b/sdk/python/feast/field.py index f6c88f1850d..77011e6758c 100644 --- a/sdk/python/feast/field.py +++ b/sdk/python/feast/field.py @@ -12,6 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. +from typing import Dict, Optional + from feast.feature import Feature from feast.protos.feast.core.Feature_pb2 import FeatureSpecV2 as FieldProto from feast.types import FeastType, from_value_type @@ -25,13 +27,15 @@ class Field: Attributes: name: The name of the field. dtype: The type of the field, such as string or float. + tags: User-defined metadata in dictionary form. """ name: str dtype: FeastType + tags: Dict[str, str] def __init__( - self, *, name: str, dtype: FeastType, + self, *, name: str, dtype: FeastType, tags: Optional[Dict[str, str]] = None, ): """ Creates a Field object. @@ -39,12 +43,18 @@ def __init__( Args: name: The name of the field. dtype: The type of the field, such as string or float. + tags (optional): User-defined metadata in dictionary form. """ self.name = name self.dtype = dtype + self.tags = tags or {} def __eq__(self, other): - if self.name != other.name or self.dtype != other.dtype: + if ( + self.name != other.name + or self.dtype != other.dtype + or self.tags != other.tags + ): return False return True @@ -58,12 +68,12 @@ def __repr__(self): return f"{self.name}-{self.dtype}" def __str__(self): - return f"Field(name={self.name}, dtype={self.dtype})" + return f"Field(name={self.name}, dtype={self.dtype}, tags={self.tags})" def to_proto(self) -> FieldProto: """Converts a Field object to its protobuf representation.""" value_type = self.dtype.to_value_type() - return FieldProto(name=self.name, value_type=value_type.value) + return FieldProto(name=self.name, value_type=value_type.value, tags=self.tags) @classmethod def from_proto(cls, field_proto: FieldProto): @@ -74,7 +84,11 @@ def from_proto(cls, field_proto: FieldProto): field_proto: FieldProto protobuf object """ value_type = ValueType(field_proto.value_type) - return cls(name=field_proto.name, dtype=from_value_type(value_type=value_type)) + return cls( + name=field_proto.name, + dtype=from_value_type(value_type=value_type), + tags=dict(field_proto.tags), + ) @classmethod def from_feature(cls, feature: Feature): @@ -84,4 +98,6 @@ def from_feature(cls, feature: Feature): Args: feature: Feature object to convert. """ - return cls(name=feature.name, dtype=from_value_type(feature.dtype)) + return cls( + name=feature.name, dtype=from_value_type(feature.dtype), tags=feature.labels + ) From 134dc5f7e86e7c88df2b3b313c41eb8f89def6e2 Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Wed, 27 Apr 2022 01:49:26 +0300 Subject: [PATCH 36/87] feat: Write logged features to an offline store (Python API) (#2574) * write logs to offline store Signed-off-by: pyalex * format Signed-off-by: pyalex * fix after rebase Signed-off-by: pyalex * fix tests Signed-off-by: pyalex * handle table not found in tests Signed-off-by: pyalex * some api docs Signed-off-by: pyalex * fix import Signed-off-by: pyalex * use predefined schema in tests Signed-off-by: pyalex * address pr comments Signed-off-by: pyalex * more api docs Signed-off-by: pyalex * add proto attr to snowflake dest Signed-off-by: pyalex * add prefixes to system fields Signed-off-by: pyalex * add custom destination Signed-off-by: pyalex * move partition columns to destination config Signed-off-by: pyalex * after rebase Signed-off-by: pyalex * allow data source creator implementations w/o logging destination Signed-off-by: pyalex --- protos/feast/core/FeatureService.proto | 46 +++++ sdk/python/feast/feature_logging.py | 164 ++++++++++++++++++ sdk/python/feast/feature_service.py | 10 ++ sdk/python/feast/feature_store.py | 20 +++ .../feast/infra/offline_stores/bigquery.py | 69 +++++++- .../infra/offline_stores/bigquery_source.py | 29 ++++ sdk/python/feast/infra/offline_stores/file.py | 29 +++- .../feast/infra/offline_stores/file_source.py | 51 +++++- .../infra/offline_stores/offline_store.py | 26 +++ .../feast/infra/offline_stores/redshift.py | 38 +++- .../infra/offline_stores/redshift_source.py | 29 ++++ .../feast/infra/offline_stores/snowflake.py | 22 +++ .../infra/offline_stores/snowflake_source.py | 29 ++++ .../feast/infra/passthrough_provider.py | 50 ++++++ sdk/python/feast/infra/provider.py | 37 +++- sdk/python/feast/infra/utils/aws_utils.py | 111 ++++++++---- sdk/python/tests/foo_provider.py | 22 ++- .../universal/data_source_creator.py | 4 + .../universal/data_sources/bigquery.py | 12 +- .../universal/data_sources/file.py | 30 +++- .../universal/data_sources/redshift.py | 14 +- .../universal/data_sources/snowflake.py | 14 +- .../offline_store/test_feature_logging.py | 124 +++++++++++++ 23 files changed, 936 insertions(+), 44 deletions(-) create mode 100644 sdk/python/feast/feature_logging.py create mode 100644 sdk/python/tests/integration/offline_store/test_feature_logging.py diff --git a/protos/feast/core/FeatureService.proto b/protos/feast/core/FeatureService.proto index 2295677583a..c04fa97507d 100644 --- a/protos/feast/core/FeatureService.proto +++ b/protos/feast/core/FeatureService.proto @@ -5,6 +5,7 @@ option go_package = "github.com/feast-dev/feast/go/protos/feast/core"; option java_outer_classname = "FeatureServiceProto"; option java_package = "feast.proto.core"; +import "google/protobuf/duration.proto"; import "google/protobuf/timestamp.proto"; import "feast/core/FeatureViewProjection.proto"; @@ -35,6 +36,9 @@ message FeatureServiceSpec { // Owner of the feature service. string owner = 6; + + // (optional) if provided logging will be enabled for this feature service. + LoggingConfig logging_config = 7; } @@ -46,3 +50,45 @@ message FeatureServiceMeta { google.protobuf.Timestamp last_updated_timestamp = 2; } + + +message LoggingConfig { + float sample_rate = 1; + google.protobuf.Duration partition_interval = 2; + + oneof destination { + FileDestination file_destination = 3; + BigQueryDestination bigquery_destination = 4; + RedshiftDestination redshift_destination = 5; + SnowflakeDestination snowflake_destination = 6; + CustomDestination custom_destination = 7; + } + + message FileDestination { + string path = 1; + string s3_endpoint_override = 2; + + // column names to use for partitioning + repeated string partition_by = 3; + } + + message BigQueryDestination { + // Full table reference in the form of [project:dataset.table] + string table_ref = 1; + } + + message RedshiftDestination { + // Destination table name. ClusterId and database will be taken from an offline store config + string table_name = 1; + } + + message SnowflakeDestination { + // Destination table name. Schema and database will be taken from an offline store config + string table_name = 1; + } + + message CustomDestination { + string kind = 1; + map config = 2; + } +} diff --git a/sdk/python/feast/feature_logging.py b/sdk/python/feast/feature_logging.py new file mode 100644 index 00000000000..e35dbdd9c7a --- /dev/null +++ b/sdk/python/feast/feature_logging.py @@ -0,0 +1,164 @@ +import abc +from typing import TYPE_CHECKING, Dict, Optional, Type, cast + +import pyarrow as pa +from pytz import UTC + +from feast.data_source import DataSource +from feast.embedded_go.type_map import FEAST_TYPE_TO_ARROW_TYPE, PA_TIMESTAMP_TYPE +from feast.errors import ( + FeastObjectNotFoundException, + FeatureViewNotFoundException, + OnDemandFeatureViewNotFoundException, +) +from feast.protos.feast.core.FeatureService_pb2 import ( + LoggingConfig as LoggingConfigProto, +) +from feast.types import from_value_type + +if TYPE_CHECKING: + from feast import FeatureService + from feast.registry import Registry + + +REQUEST_ID_FIELD = "__request_id" +LOG_TIMESTAMP_FIELD = "__log_timestamp" +LOG_DATE_FIELD = "__log_date" + + +class LoggingSource: + """ + Logging source describes object that produces logs (eg, feature service produces logs of served features). + It should be able to provide schema of produced logs table and additional metadata that describes logs data. + """ + + @abc.abstractmethod + def get_schema(self, registry: "Registry") -> pa.Schema: + """ Generate schema for logs destination. """ + raise NotImplementedError + + @abc.abstractmethod + def get_log_timestamp_column(self) -> str: + """ Return timestamp column that must exist in generated schema. """ + raise NotImplementedError + + +class FeatureServiceLoggingSource(LoggingSource): + def __init__(self, feature_service: "FeatureService", project: str): + self._feature_service = feature_service + self._project = project + + def get_schema(self, registry: "Registry") -> pa.Schema: + fields: Dict[str, pa.DataType] = {} + + for projection in self._feature_service.feature_view_projections: + for feature in projection.features: + fields[ + f"{projection.name_to_use()}__{feature.name}" + ] = FEAST_TYPE_TO_ARROW_TYPE[feature.dtype] + fields[ + f"{projection.name_to_use()}__{feature.name}__timestamp" + ] = PA_TIMESTAMP_TYPE + fields[ + f"{projection.name_to_use()}__{feature.name}__status" + ] = pa.int32() + + try: + feature_view = registry.get_feature_view(projection.name, self._project) + except FeatureViewNotFoundException: + try: + on_demand_feature_view = registry.get_on_demand_feature_view( + projection.name, self._project + ) + except OnDemandFeatureViewNotFoundException: + raise FeastObjectNotFoundException( + f"Can't recognize feature view with a name {projection.name}" + ) + + for ( + request_source + ) in on_demand_feature_view.source_request_sources.values(): + for field in request_source.schema: + fields[field.name] = FEAST_TYPE_TO_ARROW_TYPE[field.dtype] + + else: + for entity_name in feature_view.entities: + entity = registry.get_entity(entity_name, self._project) + join_key = projection.join_key_map.get( + entity.join_key, entity.join_key + ) + fields[join_key] = FEAST_TYPE_TO_ARROW_TYPE[ + from_value_type(entity.value_type) + ] + + # system columns + fields[REQUEST_ID_FIELD] = pa.string() + fields[LOG_TIMESTAMP_FIELD] = pa.timestamp("us", tz=UTC) + + return pa.schema( + [pa.field(name, data_type) for name, data_type in fields.items()] + ) + + def get_log_timestamp_column(self) -> str: + return LOG_TIMESTAMP_FIELD + + +class _DestinationRegistry(type): + classes_by_proto_attr_name: Dict[str, Type["LoggingDestination"]] = {} + + def __new__(cls, name, bases, dct): + kls = type.__new__(cls, name, bases, dct) + if dct.get("_proto_attr_name"): + cls.classes_by_proto_attr_name[dct["_proto_attr_name"]] = kls + return kls + + +class LoggingDestination: + """ + Logging destination contains details about where exactly logs should be written inside an offline store. + It is implementation specific - each offline store must implement LoggingDestination subclass. + + Kind of logging destination will be determined by matching attribute name in LoggingConfig protobuf message + and "_proto_kind" property of each subclass. + """ + + _proto_kind: str + + @classmethod + @abc.abstractmethod + def from_proto(cls, config_proto: LoggingConfigProto) -> "LoggingDestination": + raise NotImplementedError + + @abc.abstractmethod + def to_proto(self) -> LoggingConfigProto: + raise NotImplementedError + + @abc.abstractmethod + def to_data_source(self) -> DataSource: + """ + Convert this object into a data source to read logs from an offline store. + """ + raise NotImplementedError + + +class LoggingConfig: + destination: LoggingDestination + + def __init__(self, destination: LoggingDestination): + self.destination = destination + + @classmethod + def from_proto(cls, config_proto: LoggingConfigProto) -> Optional["LoggingConfig"]: + proto_kind = cast(str, config_proto.WhichOneof("destination")) + if proto_kind is None: + return + + if proto_kind == "custom_destination": + proto_kind = config_proto.custom_destination.kind + + destination_class = _DestinationRegistry.classes_by_proto_attr_name[proto_kind] + return LoggingConfig(destination=destination_class.from_proto(config_proto)) + + def to_proto(self) -> LoggingConfigProto: + proto = self.destination.to_proto() + return proto diff --git a/sdk/python/feast/feature_service.py b/sdk/python/feast/feature_service.py index 492d31a8099..bfa48b3bf47 100644 --- a/sdk/python/feast/feature_service.py +++ b/sdk/python/feast/feature_service.py @@ -5,6 +5,7 @@ from google.protobuf.json_format import MessageToJson from feast.base_feature_view import BaseFeatureView +from feast.feature_logging import LoggingConfig from feast.feature_view import FeatureView from feast.feature_view_projection import FeatureViewProjection from feast.on_demand_feature_view import OnDemandFeatureView @@ -44,6 +45,7 @@ class FeatureService: owner: str created_timestamp: Optional[datetime] = None last_updated_timestamp: Optional[datetime] = None + logging_config: Optional[LoggingConfig] = None @log_exceptions def __init__( @@ -54,6 +56,7 @@ def __init__( tags: Dict[str, str] = None, description: str = "", owner: str = "", + logging_config: Optional[LoggingConfig] = None, ): """ Creates a FeatureService object. @@ -106,6 +109,7 @@ def __init__( self.owner = owner self.created_timestamp = None self.last_updated_timestamp = None + self.logging_config = logging_config def __repr__(self): items = (f"{k} = {v}" for k, v in self.__dict__.items()) @@ -152,6 +156,9 @@ def from_proto(cls, feature_service_proto: FeatureServiceProto): tags=dict(feature_service_proto.spec.tags), description=feature_service_proto.spec.description, owner=feature_service_proto.spec.owner, + logging_config=LoggingConfig.from_proto( + feature_service_proto.spec.logging_config + ), ) fs.feature_view_projections.extend( [ @@ -192,6 +199,9 @@ def to_proto(self) -> FeatureServiceProto: tags=self.tags, description=self.description, owner=self.owner, + logging_config=self.logging_config.to_proto() + if self.logging_config + else None, ) return FeatureServiceProto(spec=spec, meta=meta) diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 4f456be3846..95b14588499 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -34,6 +34,7 @@ ) import pandas as pd +import pyarrow as pa from colorama import Fore, Style from google.protobuf.timestamp_pb2 import Timestamp from tqdm import tqdm @@ -1976,6 +1977,25 @@ def serve_transformations(self, port: int) -> None: def _teardown_go_server(self): self._go_server = None + def write_logged_features(self, logs: pa.Table, source: Union[FeatureService]): + """ + Write logs produced by a source (currently only feature service is supported as a source) + to an offline store. + """ + if not isinstance(source, FeatureService): + raise ValueError("Only feature service is currently supported as a source") + + assert ( + source.logging_config is not None + ), "Feature service must be configured with logging config in order to use this functionality" + + self._get_provider().write_feature_service_logs( + feature_service=source, + logs=logs, + config=self.config, + registry=self._registry, + ) + def _validate_entity_values(join_key_values: Dict[str, List[Value]]): set_of_row_lengths = {len(v) for v in join_key_values.values()} diff --git a/sdk/python/feast/infra/offline_stores/bigquery.py b/sdk/python/feast/infra/offline_stores/bigquery.py index 29d0e029d97..ee024d4d40e 100644 --- a/sdk/python/feast/infra/offline_stores/bigquery.py +++ b/sdk/python/feast/infra/offline_stores/bigquery.py @@ -1,4 +1,5 @@ import contextlib +import tempfile import uuid from datetime import date, datetime, timedelta from typing import ( @@ -28,6 +29,7 @@ FeastProviderLoginError, InvalidEntityType, ) +from feast.feature_logging import LoggingConfig, LoggingSource from feast.feature_view import DUMMY_ENTITY_ID, DUMMY_ENTITY_VAL, FeatureView from feast.infra.offline_stores import offline_utils from feast.infra.offline_stores.offline_store import ( @@ -41,13 +43,18 @@ from ...saved_dataset import SavedDatasetStorage from ...usage import log_exceptions_and_usage -from .bigquery_source import BigQuerySource, SavedDatasetBigQueryStorage +from .bigquery_source import ( + BigQueryLoggingDestination, + BigQuerySource, + SavedDatasetBigQueryStorage, +) try: from google.api_core.exceptions import NotFound from google.auth.exceptions import DefaultCredentialsError from google.cloud import bigquery - from google.cloud.bigquery import Client, Table + from google.cloud.bigquery import Client, SchemaField, Table + from google.cloud.bigquery._pandas_helpers import ARROW_SCALAR_IDS_TO_BQ except ImportError as e: from feast.errors import FeastExtrasDependencyImportError @@ -248,6 +255,42 @@ def query_generator() -> Iterator[str]: ), ) + @staticmethod + def write_logged_features( + config: RepoConfig, + data: pyarrow.Table, + source: LoggingSource, + logging_config: LoggingConfig, + registry: Registry, + ): + destination = logging_config.destination + assert isinstance(destination, BigQueryLoggingDestination) + + client = _get_bigquery_client( + project=config.offline_store.project_id, + location=config.offline_store.location, + ) + + job_config = bigquery.LoadJobConfig( + source_format=bigquery.SourceFormat.PARQUET, + schema=arrow_schema_to_bq_schema(source.get_schema(registry)), + time_partitioning=bigquery.TimePartitioning( + type_=bigquery.TimePartitioningType.DAY, + field=source.get_log_timestamp_column(), + ), + ) + + with tempfile.TemporaryFile() as parquet_temp_file: + pyarrow.parquet.write_table(table=data, where=parquet_temp_file) + + parquet_temp_file.seek(0) + + client.load_table_from_file( + file_obj=parquet_temp_file, + destination=destination.table, + job_config=job_config, + ) + class BigQueryRetrievalJob(RetrievalJob): def __init__( @@ -513,7 +556,9 @@ def _get_entity_df_event_timestamp_range( return entity_df_event_timestamp_range -def _get_bigquery_client(project: Optional[str] = None, location: Optional[str] = None): +def _get_bigquery_client( + project: Optional[str] = None, location: Optional[str] = None +) -> bigquery.Client: try: client = bigquery.Client(project=project, location=location) except DefaultCredentialsError as e: @@ -533,6 +578,24 @@ def _get_bigquery_client(project: Optional[str] = None, location: Optional[str] return client +def arrow_schema_to_bq_schema(arrow_schema: pyarrow.Schema) -> List[SchemaField]: + bq_schema = [] + + for field in arrow_schema: + if pyarrow.types.is_list(field.type): + detected_mode = "REPEATED" + detected_type = ARROW_SCALAR_IDS_TO_BQ[field.type.value_type.id] + else: + detected_mode = "NULLABLE" + detected_type = ARROW_SCALAR_IDS_TO_BQ[field.type.id] + + bq_schema.append( + SchemaField(name=field.name, field_type=detected_type, mode=detected_mode) + ) + + return bq_schema + + # TODO: Optimizations # * Use GENERATE_UUID() instead of ROW_NUMBER(), or join on entity columns directly # * Precompute ROW_NUMBER() so that it doesn't have to be recomputed for every query on entity_dataframe diff --git a/sdk/python/feast/infra/offline_stores/bigquery_source.py b/sdk/python/feast/infra/offline_stores/bigquery_source.py index 001576c98f4..f66b2066bd5 100644 --- a/sdk/python/feast/infra/offline_stores/bigquery_source.py +++ b/sdk/python/feast/infra/offline_stores/bigquery_source.py @@ -4,7 +4,11 @@ from feast import type_map from feast.data_source import DataSource from feast.errors import DataSourceNotFoundException +from feast.feature_logging import LoggingDestination from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto +from feast.protos.feast.core.FeatureService_pb2 import ( + LoggingConfig as LoggingConfigProto, +) from feast.protos.feast.core.SavedDataset_pb2 import ( SavedDatasetStorage as SavedDatasetStorageProto, ) @@ -253,3 +257,28 @@ def to_proto(self) -> SavedDatasetStorageProto: def to_data_source(self) -> DataSource: return BigQuerySource(table=self.bigquery_options.table) + + +class BigQueryLoggingDestination(LoggingDestination): + _proto_kind = "bigquery_destination" + + table: str + + def __init__(self, *, table_ref): + self.table = table_ref + + @classmethod + def from_proto(cls, config_proto: LoggingConfigProto) -> "LoggingDestination": + return BigQueryLoggingDestination( + table_ref=config_proto.bigquery_destination.table_ref, + ) + + def to_data_source(self) -> DataSource: + return BigQuerySource(table=self.table) + + def to_proto(self) -> LoggingConfigProto: + return LoggingConfigProto( + bigquery_destination=LoggingConfigProto.BigQueryDestination( + table_ref=self.table + ) + ) diff --git a/sdk/python/feast/infra/offline_stores/file.py b/sdk/python/feast/infra/offline_stores/file.py index 052d546748d..a85cd880b1e 100644 --- a/sdk/python/feast/infra/offline_stores/file.py +++ b/sdk/python/feast/infra/offline_stores/file.py @@ -4,14 +4,19 @@ import dask.dataframe as dd import pandas as pd import pyarrow +import pyarrow.parquet import pytz from pydantic.typing import Literal from feast import FileSource, OnDemandFeatureView from feast.data_source import DataSource from feast.errors import FeastJoinKeysDuringMaterialization +from feast.feature_logging import LoggingConfig, LoggingSource from feast.feature_view import DUMMY_ENTITY_ID, DUMMY_ENTITY_VAL, FeatureView -from feast.infra.offline_stores.file_source import SavedDatasetFileStorage +from feast.infra.offline_stores.file_source import ( + FileLoggingDestination, + SavedDatasetFileStorage, +) from feast.infra.offline_stores.offline_store import ( OfflineStore, RetrievalJob, @@ -367,6 +372,28 @@ def pull_all_from_table_or_query( end_date=end_date, ) + @staticmethod + def write_logged_features( + config: RepoConfig, + data: pyarrow.Table, + source: LoggingSource, + logging_config: LoggingConfig, + registry: Registry, + ): + destination = logging_config.destination + assert isinstance(destination, FileLoggingDestination) + + filesystem, path = FileSource.create_filesystem_and_path( + destination.path, destination.s3_endpoint_override, + ) + + pyarrow.parquet.write_to_dataset( + data, + root_path=path, + partition_cols=destination.partition_by, + filesystem=filesystem, + ) + def _get_entity_df_event_timestamp_range( entity_df: Union[pd.DataFrame, str], entity_df_event_timestamp_col: str, diff --git a/sdk/python/feast/infra/offline_stores/file_source.py b/sdk/python/feast/infra/offline_stores/file_source.py index a6fc7a1600f..68c1835cb0f 100644 --- a/sdk/python/feast/infra/offline_stores/file_source.py +++ b/sdk/python/feast/infra/offline_stores/file_source.py @@ -1,5 +1,5 @@ import warnings -from typing import Callable, Dict, Iterable, Optional, Tuple +from typing import Callable, Dict, Iterable, List, Optional, Tuple from pyarrow._fs import FileSystem from pyarrow._s3fs import S3FileSystem @@ -8,7 +8,11 @@ from feast import type_map from feast.data_format import FileFormat, ParquetFormat from feast.data_source import DataSource +from feast.feature_logging import LoggingDestination from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto +from feast.protos.feast.core.FeatureService_pb2 import ( + LoggingConfig as LoggingConfigProto, +) from feast.protos.feast.core.SavedDataset_pb2 import ( SavedDatasetStorage as SavedDatasetStorageProto, ) @@ -290,3 +294,48 @@ def to_data_source(self) -> DataSource: file_format=self.file_options.file_format, s3_endpoint_override=self.file_options.s3_endpoint_override, ) + + +class FileLoggingDestination(LoggingDestination): + _proto_kind = "file_destination" + + path: str + s3_endpoint_override: str + partition_by: Optional[List[str]] + + def __init__( + self, + *, + path: str, + s3_endpoint_override="", + partition_by: Optional[List[str]] = None, + ): + self.path = path + self.s3_endpoint_override = s3_endpoint_override + self.partition_by = partition_by + + @classmethod + def from_proto(cls, config_proto: LoggingConfigProto) -> "LoggingDestination": + return FileLoggingDestination( + path=config_proto.file_destination.path, + s3_endpoint_override=config_proto.file_destination.s3_endpoint_override, + partition_by=list(config_proto.file_destination.partition_by) + if config_proto.file_destination.partition_by + else None, + ) + + def to_proto(self) -> LoggingConfigProto: + return LoggingConfigProto( + file_destination=LoggingConfigProto.FileDestination( + path=self.path, + s3_endpoint_override=self.s3_endpoint_override, + partition_by=self.partition_by, + ) + ) + + def to_data_source(self) -> DataSource: + return FileSource( + path=self.path, + file_format=ParquetFormat(), + s3_endpoint_override=self.s3_endpoint_override, + ) diff --git a/sdk/python/feast/infra/offline_stores/offline_store.py b/sdk/python/feast/infra/offline_stores/offline_store.py index 83f20bb3e52..ed545ed5ad4 100644 --- a/sdk/python/feast/infra/offline_stores/offline_store.py +++ b/sdk/python/feast/infra/offline_stores/offline_store.py @@ -21,6 +21,7 @@ from feast.data_source import DataSource from feast.dqm.errors import ValidationFailed +from feast.feature_logging import LoggingConfig, LoggingSource from feast.feature_view import FeatureView from feast.on_demand_feature_view import OnDemandFeatureView from feast.registry import Registry @@ -241,3 +242,28 @@ def pull_all_from_table_or_query( end_date: Ending date of query """ pass + + @staticmethod + def write_logged_features( + config: RepoConfig, + data: pyarrow.Table, + source: LoggingSource, + logging_config: LoggingConfig, + registry: Registry, + ): + """ + Write logged features to a specified destination (taken from logging_config) in the offline store. + Data can be appended to an existing table (destination) or a new one will be created automatically + (if it doesn't exist). + Hence, this function can be called repeatedly with the same destination to flush logs in chunks. + + Args: + config: Repo configuration object + data: Arrow table produced by logging source. + source: Logging source that provides schema and some additional metadata. + logging_config: used to determine destination + registry: Feast registry + + This is an optional method that could be supported only be some stores. + """ + raise NotImplementedError() diff --git a/sdk/python/feast/infra/offline_stores/redshift.py b/sdk/python/feast/infra/offline_stores/redshift.py index cd309c92b21..fb5759cbbbc 100644 --- a/sdk/python/feast/infra/offline_stores/redshift.py +++ b/sdk/python/feast/infra/offline_stores/redshift.py @@ -14,6 +14,7 @@ import numpy as np import pandas as pd +import pyarrow import pyarrow as pa from dateutil import parser from pydantic import StrictStr @@ -23,6 +24,7 @@ from feast import OnDemandFeatureView, RedshiftSource from feast.data_source import DataSource from feast.errors import InvalidEntityType +from feast.feature_logging import LoggingConfig, LoggingSource from feast.feature_view import DUMMY_ENTITY_ID, DUMMY_ENTITY_VAL, FeatureView from feast.infra.offline_stores import offline_utils from feast.infra.offline_stores.offline_store import ( @@ -30,7 +32,10 @@ RetrievalJob, RetrievalMetadata, ) -from feast.infra.offline_stores.redshift_source import SavedDatasetRedshiftStorage +from feast.infra.offline_stores.redshift_source import ( + RedshiftLoggingDestination, + SavedDatasetRedshiftStorage, +) from feast.infra.utils import aws_utils from feast.registry import Registry from feast.repo_config import FeastConfigBaseModel, RepoConfig @@ -257,6 +262,37 @@ def query_generator() -> Iterator[str]: ), ) + @staticmethod + def write_logged_features( + config: RepoConfig, + data: pyarrow.Table, + source: LoggingSource, + logging_config: LoggingConfig, + registry: Registry, + ): + destination = logging_config.destination + assert isinstance(destination, RedshiftLoggingDestination) + + redshift_client = aws_utils.get_redshift_data_client( + config.offline_store.region + ) + s3_resource = aws_utils.get_s3_resource(config.offline_store.region) + s3_path = f"{config.offline_store.s3_staging_location}/logged_features/{uuid.uuid4()}.parquet" + + aws_utils.upload_arrow_table_to_redshift( + table=data, + redshift_data_client=redshift_client, + cluster_id=config.offline_store.cluster_id, + database=config.offline_store.database, + user=config.offline_store.user, + s3_resource=s3_resource, + s3_path=s3_path, + iam_role=config.offline_store.iam_role, + table_name=destination.table_name, + schema=source.get_schema(registry), + fail_if_exists=False, + ) + class RedshiftRetrievalJob(RetrievalJob): def __init__( diff --git a/sdk/python/feast/infra/offline_stores/redshift_source.py b/sdk/python/feast/infra/offline_stores/redshift_source.py index 00af8c1abfa..93d811998a2 100644 --- a/sdk/python/feast/infra/offline_stores/redshift_source.py +++ b/sdk/python/feast/infra/offline_stores/redshift_source.py @@ -4,7 +4,11 @@ from feast import type_map from feast.data_source import DataSource from feast.errors import DataSourceNotFoundException, RedshiftCredentialsError +from feast.feature_logging import LoggingDestination from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto +from feast.protos.feast.core.FeatureService_pb2 import ( + LoggingConfig as LoggingConfigProto, +) from feast.protos.feast.core.SavedDataset_pb2 import ( SavedDatasetStorage as SavedDatasetStorageProto, ) @@ -327,3 +331,28 @@ def to_proto(self) -> SavedDatasetStorageProto: def to_data_source(self) -> DataSource: return RedshiftSource(table=self.redshift_options.table) + + +class RedshiftLoggingDestination(LoggingDestination): + _proto_kind = "redshift_destination" + + table_name: str + + def __init__(self, *, table_name: str): + self.table_name = table_name + + @classmethod + def from_proto(cls, config_proto: LoggingConfigProto) -> "LoggingDestination": + return RedshiftLoggingDestination( + table_name=config_proto.redshift_destination.table_name, + ) + + def to_proto(self) -> LoggingConfigProto: + return LoggingConfigProto( + redshift_destination=LoggingConfigProto.RedshiftDestination( + table_name=self.table_name + ) + ) + + def to_data_source(self) -> DataSource: + return RedshiftSource(table=self.table_name) diff --git a/sdk/python/feast/infra/offline_stores/snowflake.py b/sdk/python/feast/infra/offline_stores/snowflake.py index a07f7a57c63..4cf6716c5ec 100644 --- a/sdk/python/feast/infra/offline_stores/snowflake.py +++ b/sdk/python/feast/infra/offline_stores/snowflake.py @@ -16,6 +16,7 @@ import numpy as np import pandas as pd +import pyarrow import pyarrow as pa from pydantic import Field from pydantic.typing import Literal @@ -24,6 +25,7 @@ from feast import OnDemandFeatureView from feast.data_source import DataSource from feast.errors import InvalidEntityType +from feast.feature_logging import LoggingConfig, LoggingSource from feast.feature_view import DUMMY_ENTITY_ID, DUMMY_ENTITY_VAL, FeatureView from feast.infra.offline_stores import offline_utils from feast.infra.offline_stores.offline_store import ( @@ -33,6 +35,7 @@ ) from feast.infra.offline_stores.snowflake_source import ( SavedDatasetSnowflakeStorage, + SnowflakeLoggingDestination, SnowflakeSource, ) from feast.infra.utils.snowflake_utils import ( @@ -274,6 +277,25 @@ def query_generator() -> Iterator[str]: ), ) + @staticmethod + def write_logged_features( + config: RepoConfig, + data: pyarrow.Table, + source: LoggingSource, + logging_config: LoggingConfig, + registry: Registry, + ): + assert isinstance(logging_config.destination, SnowflakeLoggingDestination) + + snowflake_conn = get_snowflake_conn(config.offline_store) + + write_pandas( + snowflake_conn, + data.to_pandas(), + table_name=logging_config.destination.table_name, + auto_create_table=True, + ) + class SnowflakeRetrievalJob(RetrievalJob): def __init__( diff --git a/sdk/python/feast/infra/offline_stores/snowflake_source.py b/sdk/python/feast/infra/offline_stores/snowflake_source.py index 904fc48043b..ef3ae52d280 100644 --- a/sdk/python/feast/infra/offline_stores/snowflake_source.py +++ b/sdk/python/feast/infra/offline_stores/snowflake_source.py @@ -3,7 +3,11 @@ from feast import type_map from feast.data_source import DataSource +from feast.feature_logging import LoggingDestination from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto +from feast.protos.feast.core.FeatureService_pb2 import ( + LoggingConfig as LoggingConfigProto, +) from feast.protos.feast.core.SavedDataset_pb2 import ( SavedDatasetStorage as SavedDatasetStorageProto, ) @@ -329,3 +333,28 @@ def to_proto(self) -> SavedDatasetStorageProto: def to_data_source(self) -> DataSource: return SnowflakeSource(table=self.snowflake_options.table) + + +class SnowflakeLoggingDestination(LoggingDestination): + table_name: str + + _proto_kind = "snowflake_destination" + + def __init__(self, *, table_name: str): + self.table_name = table_name + + @classmethod + def from_proto(cls, config_proto: LoggingConfigProto) -> "LoggingDestination": + return SnowflakeLoggingDestination( + table_name=config_proto.snowflake_destination.table_name, + ) + + def to_proto(self) -> LoggingConfigProto: + return LoggingConfigProto( + snowflake_destination=LoggingConfigProto.SnowflakeDestination( + table_name=self.table_name, + ) + ) + + def to_data_source(self) -> DataSource: + return SnowflakeSource(table=self.table_name,) diff --git a/sdk/python/feast/infra/passthrough_provider.py b/sdk/python/feast/infra/passthrough_provider.py index 09ca98d86d3..6364297b1ee 100644 --- a/sdk/python/feast/infra/passthrough_provider.py +++ b/sdk/python/feast/infra/passthrough_provider.py @@ -2,10 +2,13 @@ from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union import pandas +import pyarrow import pyarrow as pa from tqdm import tqdm +from feast import FeatureService from feast.entity import Entity +from feast.feature_logging import FeatureServiceLoggingSource from feast.feature_view import FeatureView from feast.infra.offline_stores.offline_store import RetrievalJob from feast.infra.offline_stores.offline_utils import get_offline_store_from_config @@ -214,3 +217,50 @@ def retrieve_saved_dataset( start_date=make_tzaware(dataset.min_event_timestamp), # type: ignore end_date=make_tzaware(dataset.max_event_timestamp + timedelta(seconds=1)), # type: ignore ) + + def write_feature_service_logs( + self, + feature_service: FeatureService, + logs: pyarrow.Table, + config: RepoConfig, + registry: Registry, + ): + assert ( + feature_service.logging_config is not None + ), "Logging should be configured for the feature service before calling this function" + + self.offline_store.write_logged_features( + config=config, + data=logs, + source=FeatureServiceLoggingSource(feature_service, config.project), + logging_config=feature_service.logging_config, + registry=registry, + ) + + def retrieve_feature_service_logs( + self, + feature_service: FeatureService, + start_date: datetime, + end_date: datetime, + config: RepoConfig, + registry: Registry, + ) -> RetrievalJob: + assert ( + feature_service.logging_config is not None + ), "Logging should be configured for the feature service before calling this function" + + logging_source = FeatureServiceLoggingSource(feature_service, config.project) + schema = logging_source.get_schema(registry) + logging_config = feature_service.logging_config + ts_column = logging_source.get_log_timestamp_column() + columns = list(set(schema.names) - {ts_column}) + + return self.offline_store.pull_all_from_table_or_query( + config=config, + data_source=logging_config.destination.to_data_source(), + join_key_columns=[], + feature_name_columns=columns, + timestamp_field=ts_column, + start_date=start_date, + end_date=end_date, + ) diff --git a/sdk/python/feast/infra/provider.py b/sdk/python/feast/infra/provider.py index a71bd6d2d06..f8c2a4482fb 100644 --- a/sdk/python/feast/infra/provider.py +++ b/sdk/python/feast/infra/provider.py @@ -9,7 +9,7 @@ import pyarrow from tqdm import tqdm -from feast import errors +from feast import FeatureService, errors from feast.entity import Entity from feast.feature_view import DUMMY_ENTITY_ID, FeatureView from feast.importer import import_class @@ -186,6 +186,41 @@ def retrieve_saved_dataset( """ ... + @abc.abstractmethod + def write_feature_service_logs( + self, + feature_service: FeatureService, + logs: pyarrow.Table, + config: RepoConfig, + registry: Registry, + ): + """ + Write features and entities logged by a feature server to an offline store. + + Schema of logs table is being inferred from the provided feature service. + Only feature services with configured logging are accepted. + """ + ... + + @abc.abstractmethod + def retrieve_feature_service_logs( + self, + feature_service: FeatureService, + from_: datetime, + to: datetime, + config: RepoConfig, + registry: Registry, + ) -> RetrievalJob: + """ + Read logged features from an offline store for a given time window [from, to). + Target table is determined based on logging configuration from the feature service. + + Returns: + RetrievalJob object, which wraps the query to the offline store. + + """ + ... + def get_feature_server_endpoint(self) -> Optional[str]: """Returns endpoint for the feature server, if it exists.""" return None diff --git a/sdk/python/feast/infra/utils/aws_utils.py b/sdk/python/feast/infra/utils/aws_utils.py index fe5eed774ec..d73c484b29f 100644 --- a/sdk/python/feast/infra/utils/aws_utils.py +++ b/sdk/python/feast/infra/utils/aws_utils.py @@ -5,6 +5,7 @@ from typing import Any, Dict, Iterator, Optional, Tuple import pandas as pd +import pyarrow import pyarrow as pa import pyarrow.parquet as pq from tenacity import ( @@ -194,13 +195,6 @@ def upload_df_to_redshift( The caller is responsible for deleting the table when no longer necessary. - Here's how the upload process works: - 1. Pandas DataFrame is converted to PyArrow Table - 2. PyArrow Table is serialized into a Parquet format on local disk - 3. The Parquet file is uploaded to S3 - 4. The S3 file is uploaded to Redshift as a new table through COPY command - 5. The local disk & s3 paths are cleaned up - Args: redshift_data_client: Redshift Data API Service client cluster_id: Redshift Cluster Identifier @@ -216,10 +210,6 @@ def upload_df_to_redshift( Raises: RedshiftTableNameTooLong: The specified table name is too long. """ - if len(table_name) > REDSHIFT_TABLE_NAME_MAX_LENGTH: - raise RedshiftTableNameTooLong(table_name) - - bucket, key = get_bucket_and_key(s3_path) # Drop the index so that we dont have unnecessary columns df.reset_index(drop=True, inplace=True) @@ -231,35 +221,92 @@ def upload_df_to_redshift( # More details at: # https://pandas.pydata.org/pandas-docs/stable/user_guide/missing_data.html#values-considered-missing table = pa.Table.from_pandas(df) - column_names, column_types = [], [] - for field in table.schema: - column_names.append(field.name) - column_types.append(pa_to_redshift_value_type(field.type)) + upload_arrow_table_to_redshift( + table, + redshift_data_client, + cluster_id=cluster_id, + database=database, + user=user, + s3_resource=s3_resource, + iam_role=iam_role, + s3_path=s3_path, + table_name=table_name, + ) + + +def upload_arrow_table_to_redshift( + table: pyarrow.Table, + redshift_data_client, + cluster_id: str, + database: str, + user: str, + s3_resource, + iam_role: str, + s3_path: str, + table_name: str, + schema: Optional[pyarrow.Schema] = None, + fail_if_exists: bool = True, +): + """Uploads an Arrow Table to Redshift to a new or existing table. + + Here's how the upload process works: + 1. PyArrow Table is serialized into a Parquet format on local disk + 2. The Parquet file is uploaded to S3 + 3. The S3 file is uploaded to Redshift as a new table through COPY command + 4. The local disk & s3 paths are cleaned up + + Args: + redshift_data_client: Redshift Data API Service client + cluster_id: Redshift Cluster Identifier + database: Redshift Database Name + user: Redshift username + s3_resource: S3 Resource object + s3_path: S3 path where the Parquet file is temporarily uploaded + iam_role: IAM Role for Redshift to assume during the COPY command. + The role must grant permission to read the S3 location. + table_name: The name of the new Redshift table where we copy the dataframe + table: The Arrow Table to upload + schema: (Optionally) client may provide arrow Schema which will be converted into redshift table schema + fail_if_exists: fail if table with such name exists or append data to existing table + + Raises: + RedshiftTableNameTooLong: The specified table name is too long. + """ + if len(table_name) > REDSHIFT_TABLE_NAME_MAX_LENGTH: + raise RedshiftTableNameTooLong(table_name) + + bucket, key = get_bucket_and_key(s3_path) + + schema = schema or table.schema column_query_list = ", ".join( - [ - f"{column_name} {column_type}" - for column_name, column_type in zip(column_names, column_types) - ] + [f"{field.name} {pa_to_redshift_value_type(field.type)}" for field in schema] ) # Write the PyArrow Table on disk in Parquet format and upload it to S3 - with tempfile.TemporaryDirectory() as temp_dir: - file_path = f"{temp_dir}/{uuid.uuid4()}.parquet" - pq.write_table(table, file_path) - s3_resource.Object(bucket, key).put(Body=open(file_path, "rb")) + with tempfile.TemporaryFile(suffix=".parquet") as parquet_temp_file: + pq.write_table(table, parquet_temp_file) + parquet_temp_file.seek(0) + s3_resource.Object(bucket, key).put(Body=parquet_temp_file) - # Create the table with the desired schema and - # copy the Parquet file contents to the Redshift table - create_and_copy_query = ( - f"CREATE TABLE {table_name}({column_query_list}); " - + f"COPY {table_name} FROM '{s3_path}' IAM_ROLE '{iam_role}' FORMAT AS PARQUET" + copy_query = ( + f"COPY {table_name} FROM '{s3_path}' IAM_ROLE '{iam_role}' FORMAT AS PARQUET" ) - execute_redshift_statement( - redshift_data_client, cluster_id, database, user, create_and_copy_query + create_query = ( + f"CREATE TABLE {'IF NOT EXISTS' if not fail_if_exists else ''}" + f" {table_name}({column_query_list})" ) - # Clean up S3 temporary data - s3_resource.Object(bucket, key).delete() + try: + execute_redshift_statement( + redshift_data_client, + cluster_id, + database, + user, + f"{create_query}; {copy_query}", + ) + finally: + # Clean up S3 temporary data + s3_resource.Object(bucket, key).delete() @contextlib.contextmanager diff --git a/sdk/python/tests/foo_provider.py b/sdk/python/tests/foo_provider.py index 1d4ce7d6cb6..bccf7931b57 100644 --- a/sdk/python/tests/foo_provider.py +++ b/sdk/python/tests/foo_provider.py @@ -2,9 +2,10 @@ from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union import pandas +import pyarrow from tqdm import tqdm -from feast import Entity, FeatureView, RepoConfig +from feast import Entity, FeatureService, FeatureView, RepoConfig from feast.infra.offline_stores.offline_store import RetrievalJob from feast.infra.provider import Provider from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto @@ -79,3 +80,22 @@ def online_read( def retrieve_saved_dataset(self, config: RepoConfig, dataset: SavedDataset): pass + + def write_feature_service_logs( + self, + feature_service: FeatureService, + logs: pyarrow.Table, + config: RepoConfig, + registry: Registry, + ): + pass + + def retrieve_feature_service_logs( + self, + feature_service: FeatureService, + from_: datetime, + to: datetime, + config: RepoConfig, + registry: Registry, + ) -> RetrievalJob: + pass diff --git a/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py b/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py index ba36f8e89be..b36af0db472 100644 --- a/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py +++ b/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py @@ -4,6 +4,7 @@ import pandas as pd from feast.data_source import DataSource +from feast.feature_logging import LoggingDestination from feast.repo_config import FeastConfigBaseModel from feast.saved_dataset import SavedDatasetStorage @@ -51,6 +52,9 @@ def create_offline_store_config(self) -> FeastConfigBaseModel: def create_saved_dataset_destination(self) -> SavedDatasetStorage: ... + def create_logged_features_destination(self) -> LoggingDestination: + pass + @abstractmethod def teardown(self): ... diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/bigquery.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/bigquery.py index 881f547617e..620f444159b 100644 --- a/sdk/python/tests/integration/feature_repos/universal/data_sources/bigquery.py +++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/bigquery.py @@ -7,8 +7,12 @@ from feast import BigQuerySource from feast.data_source import DataSource +from feast.feature_logging import LoggingDestination from feast.infra.offline_stores.bigquery import BigQueryOfflineStoreConfig -from feast.infra.offline_stores.bigquery_source import SavedDatasetBigQueryStorage +from feast.infra.offline_stores.bigquery_source import ( + BigQueryLoggingDestination, + SavedDatasetBigQueryStorage, +) from tests.integration.feature_repos.universal.data_source_creator import ( DataSourceCreator, ) @@ -86,5 +90,11 @@ def create_saved_dataset_destination(self) -> SavedDatasetBigQueryStorage: ) return SavedDatasetBigQueryStorage(table=table) + def create_logged_features_destination(self) -> LoggingDestination: + table = self.get_prefixed_table_name( + f"logged_features_{str(uuid.uuid4()).replace('-', '_')}" + ) + return BigQueryLoggingDestination(table_ref=table) + def get_prefixed_table_name(self, suffix: str) -> str: return f"{self.client.project}.{self.project_name}.{suffix}" diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/file.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/file.py index 64c3aeacf3e..ccc1544bb8f 100644 --- a/sdk/python/tests/integration/feature_repos/universal/data_sources/file.py +++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/file.py @@ -1,3 +1,5 @@ +import os.path +import shutil import tempfile import uuid from typing import Any, Dict, List, Optional @@ -10,8 +12,12 @@ from feast import FileSource from feast.data_format import ParquetFormat from feast.data_source import DataSource +from feast.feature_logging import LoggingDestination from feast.infra.offline_stores.file import FileOfflineStoreConfig -from feast.infra.offline_stores.file_source import SavedDatasetFileStorage +from feast.infra.offline_stores.file_source import ( + FileLoggingDestination, + SavedDatasetFileStorage, +) from feast.repo_config import FeastConfigBaseModel from tests.integration.feature_repos.universal.data_source_creator import ( DataSourceCreator, @@ -20,10 +26,12 @@ class FileDataSourceCreator(DataSourceCreator): files: List[Any] + dirs: List[Any] def __init__(self, project_name: str, *args, **kwargs): super().__init__(project_name) self.files = [] + self.dirs = [] def create_data_source( self, @@ -53,6 +61,7 @@ def create_data_source( def create_saved_dataset_destination(self) -> SavedDatasetFileStorage: d = tempfile.mkdtemp(prefix=self.project_name) + self.dirs.append(d) return SavedDatasetFileStorage( path=d, file_format=ParquetFormat(), s3_endpoint_override=None ) @@ -63,10 +72,20 @@ def get_prefixed_table_name(self, suffix: str) -> str: def create_offline_store_config(self) -> FeastConfigBaseModel: return FileOfflineStoreConfig() + def create_logged_features_destination(self) -> LoggingDestination: + d = tempfile.mkdtemp(prefix=self.project_name) + self.dirs.append(d) + return FileLoggingDestination(path=d) + def teardown(self): for f in self.files: f.close() + for d in self.dirs: + if not os.path.exists(d): + continue + shutil.rmtree(d) + class S3FileDataSourceCreator(DataSourceCreator): f: Any @@ -143,6 +162,15 @@ def create_saved_dataset_destination(self) -> SavedDatasetFileStorage: s3_endpoint_override=f"http://{host}:{port}", ) + def create_logged_features_destination(self) -> LoggingDestination: + port = self.minio.get_exposed_port("9000") + host = self.minio.get_container_host_ip() + + return FileLoggingDestination( + path=f"s3://{self.bucket}/logged_features/{str(uuid.uuid4())}", + s3_endpoint_override=f"http://{host}:{port}", + ) + def get_prefixed_table_name(self, suffix: str) -> str: return f"{suffix}" diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/redshift.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/redshift.py index 7e305fee801..3b2794393fc 100644 --- a/sdk/python/tests/integration/feature_repos/universal/data_sources/redshift.py +++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/redshift.py @@ -5,8 +5,12 @@ from feast import RedshiftSource from feast.data_source import DataSource +from feast.feature_logging import LoggingDestination from feast.infra.offline_stores.redshift import RedshiftOfflineStoreConfig -from feast.infra.offline_stores.redshift_source import SavedDatasetRedshiftStorage +from feast.infra.offline_stores.redshift_source import ( + RedshiftLoggingDestination, + SavedDatasetRedshiftStorage, +) from feast.infra.utils import aws_utils from feast.repo_config import FeastConfigBaseModel from tests.integration.feature_repos.universal.data_source_creator import ( @@ -74,6 +78,14 @@ def create_saved_dataset_destination(self) -> SavedDatasetRedshiftStorage: return SavedDatasetRedshiftStorage(table_ref=table) + def create_logged_features_destination(self) -> LoggingDestination: + table = self.get_prefixed_table_name( + f"persisted_ds_{str(uuid.uuid4()).replace('-', '_')}" + ) + self.tables.append(table) + + return RedshiftLoggingDestination(table_name=table) + def create_offline_store_config(self) -> FeastConfigBaseModel: return self.offline_store_config diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/snowflake.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/snowflake.py index 3942444f324..23466bc00c0 100644 --- a/sdk/python/tests/integration/feature_repos/universal/data_sources/snowflake.py +++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/snowflake.py @@ -6,8 +6,12 @@ from feast import SnowflakeSource from feast.data_source import DataSource +from feast.feature_logging import LoggingDestination from feast.infra.offline_stores.snowflake import SnowflakeOfflineStoreConfig -from feast.infra.offline_stores.snowflake_source import SavedDatasetSnowflakeStorage +from feast.infra.offline_stores.snowflake_source import ( + SavedDatasetSnowflakeStorage, + SnowflakeLoggingDestination, +) from feast.infra.utils.snowflake_utils import get_snowflake_conn, write_pandas from feast.repo_config import FeastConfigBaseModel from tests.integration.feature_repos.universal.data_source_creator import ( @@ -66,6 +70,14 @@ def create_saved_dataset_destination(self) -> SavedDatasetSnowflakeStorage: return SavedDatasetSnowflakeStorage(table_ref=table) + def create_logged_features_destination(self) -> LoggingDestination: + table = self.get_prefixed_table_name( + f"logged_features_{str(uuid.uuid4()).replace('-', '_')}" + ) + self.tables.append(table) + + return SnowflakeLoggingDestination(table_name=table) + def create_offline_store_config(self) -> FeastConfigBaseModel: return self.offline_store_config diff --git a/sdk/python/tests/integration/offline_store/test_feature_logging.py b/sdk/python/tests/integration/offline_store/test_feature_logging.py new file mode 100644 index 00000000000..f15eb8a8499 --- /dev/null +++ b/sdk/python/tests/integration/offline_store/test_feature_logging.py @@ -0,0 +1,124 @@ +import datetime +import uuid + +import numpy as np +import pandas as pd +import pyarrow as pa +import pytest +from google.api_core.exceptions import NotFound + +from feast.feature_logging import ( + LOG_DATE_FIELD, + LOG_TIMESTAMP_FIELD, + REQUEST_ID_FIELD, + FeatureServiceLoggingSource, + LoggingConfig, +) +from feast.feature_service import FeatureService +from feast.protos.feast.serving.ServingService_pb2 import FieldStatus +from feast.wait import wait_retry_backoff +from tests.integration.feature_repos.repo_configuration import ( + UniversalDatasets, + construct_universal_feature_views, +) +from tests.integration.feature_repos.universal.entities import driver +from tests.integration.feature_repos.universal.feature_views import conv_rate_plus_100 + + +@pytest.mark.integration +@pytest.mark.universal +def test_feature_service_logging(environment, universal_data_sources): + store = environment.feature_store + + (_, datasets, data_sources) = universal_data_sources + + feature_views = construct_universal_feature_views(data_sources) + store.apply([driver(), *feature_views.values()]) + + logs_df = prepare_logs(datasets) + + feature_service = FeatureService( + name="test_service", + features=[ + feature_views.driver[["conv_rate", "avg_daily_trips"]], + feature_views.driver_odfv[ + ["conv_rate_plus_val_to_add", "conv_rate_plus_100_rounded"] + ], + ], + logging_config=LoggingConfig( + destination=environment.data_source_creator.create_logged_features_destination() + ), + ) + + num_rows = logs_df.shape[0] + first_batch = logs_df.iloc[: num_rows // 2, :] + second_batch = logs_df.iloc[num_rows // 2 :, :] + + schema = FeatureServiceLoggingSource( + feature_service=feature_service, project=store.project + ).get_schema(store._registry) + + store.write_logged_features( + source=feature_service, logs=pa.Table.from_pandas(first_batch, schema=schema), + ) + + store.write_logged_features( + source=feature_service, logs=pa.Table.from_pandas(second_batch, schema=schema), + ) + expected_columns = list(set(logs_df.columns) - {LOG_DATE_FIELD}) + + def retrieve(): + retrieval_job = store._get_provider().retrieve_feature_service_logs( + feature_service=feature_service, + start_date=logs_df[LOG_TIMESTAMP_FIELD].min(), + end_date=logs_df[LOG_TIMESTAMP_FIELD].max() + datetime.timedelta(seconds=1), + config=store.config, + registry=store._registry, + ) + try: + df = retrieval_job.to_df() + except NotFound: + # Table was not created yet + return None, False + + return df, df.shape[0] == logs_df.shape[0] + + persisted_logs = wait_retry_backoff( + retrieve, timeout_secs=60, timeout_msg="Logs retrieval failed" + ) + + persisted_logs = persisted_logs[expected_columns] + logs_df = logs_df[expected_columns] + pd.testing.assert_frame_equal( + logs_df.sort_values(REQUEST_ID_FIELD).reset_index(drop=True), + persisted_logs.sort_values(REQUEST_ID_FIELD).reset_index(drop=True), + check_dtype=False, + ) + + +def prepare_logs(datasets: UniversalDatasets) -> pd.DataFrame: + driver_df = datasets.driver_df + driver_df["val_to_add"] = 50 + driver_df = driver_df.join(conv_rate_plus_100(driver_df)) + num_rows = driver_df.shape[0] + + logs_df = driver_df[["driver_id", "val_to_add"]] + logs_df[REQUEST_ID_FIELD] = [str(uuid.uuid4()) for _ in range(num_rows)] + logs_df[LOG_TIMESTAMP_FIELD] = pd.Series( + np.random.randint(0, 7 * 24 * 3600, num_rows) + ).map(lambda secs: pd.Timestamp.utcnow() - datetime.timedelta(seconds=secs)) + logs_df[LOG_DATE_FIELD] = logs_df[LOG_TIMESTAMP_FIELD].dt.date + + for view, features in ( + ("driver_stats", ("conv_rate", "avg_daily_trips")), + ( + "conv_rate_plus_100", + ("conv_rate_plus_val_to_add", "conv_rate_plus_100_rounded"), + ), + ): + for feature in features: + logs_df[f"{view}__{feature}"] = driver_df[feature] + logs_df[f"{view}__{feature}__timestamp"] = driver_df["event_timestamp"] + logs_df[f"{view}__{feature}__status"] = FieldStatus.PRESENT + + return logs_df From f3ff812a15d46287ed12918396167b6ad295cdc9 Mon Sep 17 00:00:00 2001 From: Tsotne Tabidze Date: Wed, 27 Apr 2022 11:12:46 -0700 Subject: [PATCH 37/87] feat: CLI command 'feast serve' should start go-based server if flag is enabled (#2617) * CLI command 'feast serve' should start go-based server if flag is enabled Signed-off-by: Tsotne Tabidze * Format stuff Signed-off-by: Tsotne Tabidze * Split grpc & http methods in python and sort imports correctly Signed-off-by: Tsotne Tabidze --- Makefile | 4 +- .../logging/feature_repo => }/__init__.py | 0 .../logging/feature_repo/data/online_store.db | Bin 16384 -> 0 bytes go/cmd/server/main.go | 74 ------------------ go/embedded/online_features.go | 38 +++++++++ go/internal/__init__.py | 0 go/internal/feast/__init__.py | 0 go/internal/feast/onlinestore/onlinestore.go | 8 +- .../feast/server/grpc_server.go} | 18 +++-- .../feast/server/grpc_server_test.go} | 6 +- .../server/logging/feature_repo/__init__.py | 0 .../logging/feature_repo/driver_stats.parquet | Bin .../server/logging/feature_repo/example.py | 0 .../logging/feature_repo/feature_store.yaml | 0 .../feast}/server/logging/filelogstorage.go | 0 .../server/logging/filelogstorage_test.go | 0 .../feast}/server/logging/logging.go | 0 .../feast}/server/logging/logging_test.go | 0 .../server/logging/offlinelogstorage.go | 0 .../embedded_go/online_features_service.py | 3 + sdk/python/feast/feature_store.py | 33 +++++--- 21 files changed, 83 insertions(+), 101 deletions(-) rename go/{cmd/server/logging/feature_repo => }/__init__.py (100%) delete mode 100644 go/cmd/server/logging/feature_repo/data/online_store.db delete mode 100644 go/cmd/server/main.go create mode 100644 go/internal/__init__.py create mode 100644 go/internal/feast/__init__.py rename go/{cmd/server/server.go => internal/feast/server/grpc_server.go} (76%) rename go/{cmd/server/server_test.go => internal/feast/server/grpc_server_test.go} (98%) create mode 100644 go/internal/feast/server/logging/feature_repo/__init__.py rename go/{cmd => internal/feast}/server/logging/feature_repo/driver_stats.parquet (100%) rename go/{cmd => internal/feast}/server/logging/feature_repo/example.py (100%) rename go/{cmd => internal/feast}/server/logging/feature_repo/feature_store.yaml (100%) rename go/{cmd => internal/feast}/server/logging/filelogstorage.go (100%) rename go/{cmd => internal/feast}/server/logging/filelogstorage_test.go (100%) rename go/{cmd => internal/feast}/server/logging/logging.go (100%) rename go/{cmd => internal/feast}/server/logging/logging_test.go (100%) rename go/{cmd => internal/feast}/server/logging/offlinelogstorage.go (100%) diff --git a/Makefile b/Makefile index 61549d4d0f4..a808e3f4fb1 100644 --- a/Makefile +++ b/Makefile @@ -167,7 +167,7 @@ compile-protos-go: install-go-proto-dependencies install-protoc-dependencies cd sdk/python && python setup.py build_go_protos compile-go-lib: install-go-proto-dependencies install-go-ci-dependencies - cd sdk/python && python setup.py build_go_lib + cd sdk/python && COMPILE_GO=True python setup.py build_ext --inplace # Needs feast package to setup the feature store test-go: compile-protos-go @@ -178,7 +178,7 @@ format-go: gofmt -s -w go/ lint-go: compile-protos-go - go vet ./go/internal/feast ./go/cmd/server + go vet ./go/internal/feast ./go/embedded # Docker diff --git a/go/cmd/server/logging/feature_repo/__init__.py b/go/__init__.py similarity index 100% rename from go/cmd/server/logging/feature_repo/__init__.py rename to go/__init__.py diff --git a/go/cmd/server/logging/feature_repo/data/online_store.db b/go/cmd/server/logging/feature_repo/data/online_store.db deleted file mode 100644 index b6ccea139e5aca0c0b1985409dabf0578b8dcd14..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 16384 zcmeI#K~KUk6bJBb5HThQH?Hp}2{9pl0YP^lGEmq7PIby7E^G|9j>y3SehEIHU&5o^ z0!BHwc<@60P1>gG+uHYAFCE@>J;gK)qrg>kA*#YK#3hjs!ql~>>#ppNjorjAy(!Lz z_vOlmD3ssD>87&L9SQ^>009U<00Izz00bZa0SNq$z`9u|)rPjQ?tAkIzf9RxNyIYZ zMJOkcx8z7Zg-PVEWUO2jOP=M06t4zW%dx1_yS7G@7p*@?{a$Vuo$*|GY9(j9s;^&- zQq8uFw?MfMKIbiwH*an??6lfl>rXqOcDLVde7!Pv1185BISpF6e!|;nUh2I|6_fG; z){4QRL64D!=E>eux*c@v)?iFG*7#e(KUb*NrFm3~Z9`;#EPnR&9bLMK3bV1yOIJ4Y zA`1Gb9jC{woHo_8L4g1SAOHafKmY;|fB*y_009U<;7|ol(!_B8Kh)ogydVGp2tWV= q5P$##AOHafKmY=n0Pg=d2oQh(1Rwwb2tWV=5P$##AOL~G7x)Cr+SMcg diff --git a/go/cmd/server/main.go b/go/cmd/server/main.go deleted file mode 100644 index 33d56e0a7a2..00000000000 --- a/go/cmd/server/main.go +++ /dev/null @@ -1,74 +0,0 @@ -package main - -import ( - "fmt" - "log" - "net" - "os" - - "github.com/feast-dev/feast/go/cmd/server/logging" - "github.com/feast-dev/feast/go/internal/feast" - "github.com/feast-dev/feast/go/internal/feast/registry" - "github.com/feast-dev/feast/go/protos/feast/serving" - "google.golang.org/grpc" -) - -const ( - flagFeastRepoPath = "FEAST_REPO_PATH" - flagFeastRepoConfig = "FEAST_REPO_CONFIG" - flagFeastSockFile = "FEAST_GRPC_SOCK_FILE" - feastServerVersion = "0.18.0" -) - -// TODO: Add a proper logging library such as https://github.com/Sirupsen/logrus -func main() { - repoPath := os.Getenv(flagFeastRepoPath) - repoConfigJSON := os.Getenv(flagFeastRepoConfig) - sockFile := os.Getenv(flagFeastSockFile) - if repoPath == "" && repoConfigJSON == "" { - log.Fatalln(fmt.Sprintf("One of %s of %s environment variables must be set", flagFeastRepoPath, flagFeastRepoConfig)) - } - - var repoConfig *registry.RepoConfig - var err error - if repoConfigJSON != "" { - repoConfig, err = registry.NewRepoConfigFromJSON(repoPath, repoConfigJSON) - if err != nil { - log.Fatalln(err) - } - } else { - repoConfig, err = registry.NewRepoConfigFromFile(repoPath) - if err != nil { - log.Fatalln(err) - } - } - - log.Println("Initializing feature store...") - fs, err := feast.NewFeatureStore(repoConfig, nil) - if err != nil { - log.Fatalln(err) - } - // Disable logging for now - loggingService, err := logging.NewLoggingService(fs, 1000, "", false) - if err != nil { - log.Fatalln(err) - } - defer fs.DestructOnlineStore() - startGrpcServer(fs, loggingService, sockFile) -} - -func startGrpcServer(fs *feast.FeatureStore, loggingService *logging.LoggingService, sockFile string) { - server := newServingServiceServer(fs, loggingService) - log.Printf("Starting a gRPC server listening on %s\n", sockFile) - lis, err := net.Listen("unix", sockFile) - if err != nil { - log.Fatalln(err) - } - grpcServer := grpc.NewServer() - defer grpcServer.Stop() - serving.RegisterServingServiceServer(grpcServer, server) - err = grpcServer.Serve(lis) - if err != nil { - log.Fatalln(err) - } -} diff --git a/go/embedded/online_features.go b/go/embedded/online_features.go index 24a54894306..636ccd403b3 100644 --- a/go/embedded/online_features.go +++ b/go/embedded/online_features.go @@ -3,7 +3,15 @@ package embedded import ( "context" "fmt" + "github.com/feast-dev/feast/go/internal/feast/server" + "github.com/feast-dev/feast/go/internal/feast/server/logging" + "github.com/feast-dev/feast/go/protos/feast/serving" + "google.golang.org/grpc" "log" + "net" + "os" + "os/signal" + "syscall" "github.com/apache/arrow/go/v8/arrow" "github.com/apache/arrow/go/v8/arrow/array" @@ -198,6 +206,36 @@ func (s *OnlineFeatureService) GetOnlineFeatures( return nil } +func (s *OnlineFeatureService) StartGprcServer(host string, port int) error { + // TODO(oleksii): enable logging + // Disable logging for now + var loggingService *logging.LoggingService = nil + ser := server.NewGrpcServingServiceServer(s.fs, loggingService) + log.Printf("Starting a gRPC server on host %s port %d\n", host, port) + lis, err := net.Listen("tcp", fmt.Sprintf("%s:%d", host, port)) + if err != nil { + return err + } + grpcServer := grpc.NewServer() + serving.RegisterServingServiceServer(grpcServer, ser) + + // Notify this channel when receiving interrupt or termination signals from OS + c := make(chan os.Signal, 1) + signal.Notify(c, syscall.SIGINT, syscall.SIGTERM) + go func() { + // As soon as these signals are received from OS, try to gracefully stop the gRPC server + <-c + fmt.Println("Stopping the gRPC server...") + grpcServer.GracefulStop() + }() + + err = grpcServer.Serve(lis) + if err != nil { + return err + } + return nil +} + /* Read Record Batch from memory managed by Python caller. Python part uses C ABI interface to export this record into C Data Interface, diff --git a/go/internal/__init__.py b/go/internal/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/go/internal/feast/__init__.py b/go/internal/feast/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/go/internal/feast/onlinestore/onlinestore.go b/go/internal/feast/onlinestore/onlinestore.go index b4a25714808..433b96c08e4 100644 --- a/go/internal/feast/onlinestore/onlinestore.go +++ b/go/internal/feast/onlinestore/onlinestore.go @@ -43,7 +43,8 @@ type OnlineStore interface { func getOnlineStoreType(onlineStoreConfig map[string]interface{}) (string, bool) { if onlineStoreType, ok := onlineStoreConfig["type"]; !ok { - return "", false + // If online store type isn't specified, default to sqlite + return "sqlite", true } else { result, ok := onlineStoreType.(string) return result, ok @@ -53,10 +54,11 @@ func getOnlineStoreType(onlineStoreConfig map[string]interface{}) (string, bool) func NewOnlineStore(config *registry.RepoConfig) (OnlineStore, error) { onlineStoreType, ok := getOnlineStoreType(config.OnlineStore) if !ok { + return nil, fmt.Errorf("could not get online store type from online store config: %+v", config.OnlineStore) + } else if onlineStoreType == "sqlite" { onlineStore, err := NewSqliteOnlineStore(config.Project, config, config.OnlineStore) return onlineStore, err - } - if onlineStoreType == "redis" { + } else if onlineStoreType == "redis" { onlineStore, err := NewRedisOnlineStore(config.Project, config.OnlineStore) return onlineStore, err } else { diff --git a/go/cmd/server/server.go b/go/internal/feast/server/grpc_server.go similarity index 76% rename from go/cmd/server/server.go rename to go/internal/feast/server/grpc_server.go index 3708689268b..08f624b6bda 100644 --- a/go/cmd/server/server.go +++ b/go/internal/feast/server/grpc_server.go @@ -1,27 +1,29 @@ -package main +package server import ( "context" - "github.com/feast-dev/feast/go/cmd/server/logging" "github.com/feast-dev/feast/go/internal/feast" + "github.com/feast-dev/feast/go/internal/feast/server/logging" "github.com/feast-dev/feast/go/protos/feast/serving" prototypes "github.com/feast-dev/feast/go/protos/feast/types" "github.com/feast-dev/feast/go/types" "github.com/google/uuid" ) -type servingServiceServer struct { +const feastServerVersion = "0.0.1" + +type grpcServingServiceServer struct { fs *feast.FeatureStore loggingService *logging.LoggingService serving.UnimplementedServingServiceServer } -func newServingServiceServer(fs *feast.FeatureStore, loggingService *logging.LoggingService) *servingServiceServer { - return &servingServiceServer{fs: fs, loggingService: loggingService} +func NewGrpcServingServiceServer(fs *feast.FeatureStore, loggingService *logging.LoggingService) *grpcServingServiceServer { + return &grpcServingServiceServer{fs: fs, loggingService: loggingService} } -func (s *servingServiceServer) GetFeastServingInfo(ctx context.Context, request *serving.GetFeastServingInfoRequest) (*serving.GetFeastServingInfoResponse, error) { +func (s *grpcServingServiceServer) GetFeastServingInfo(ctx context.Context, request *serving.GetFeastServingInfoRequest) (*serving.GetFeastServingInfoResponse, error) { return &serving.GetFeastServingInfoResponse{ Version: feastServerVersion, }, nil @@ -30,7 +32,7 @@ func (s *servingServiceServer) GetFeastServingInfo(ctx context.Context, request // Returns an object containing the response to GetOnlineFeatures. // Metadata contains featurenames that corresponds to the number of rows in response.Results. // Results contains values including the value of the feature, the event timestamp, and feature status in a columnar format. -func (s *servingServiceServer) GetOnlineFeatures(ctx context.Context, request *serving.GetOnlineFeaturesRequest) (*serving.GetOnlineFeaturesResponse, error) { +func (s *grpcServingServiceServer) GetOnlineFeatures(ctx context.Context, request *serving.GetOnlineFeaturesRequest) (*serving.GetOnlineFeaturesResponse, error) { requestId := GenerateRequestId() featuresOrService, err := s.fs.ParseFeatures(request.GetKind()) if err != nil { @@ -74,7 +76,7 @@ func (s *servingServiceServer) GetOnlineFeatures(ctx context.Context, request *s EventTimestamps: vector.Timestamps, }) } - if featuresOrService.FeatureService != nil { + if featuresOrService.FeatureService != nil && s.loggingService != nil { go s.loggingService.GenerateLogs(featuresOrService.FeatureService, entityValuesMap, resp.Results[len(request.Entities):], request.RequestContext, requestId) } return resp, nil diff --git a/go/cmd/server/server_test.go b/go/internal/feast/server/grpc_server_test.go similarity index 98% rename from go/cmd/server/server_test.go rename to go/internal/feast/server/grpc_server_test.go index 9d4ffb50bf8..090a8738111 100644 --- a/go/cmd/server/server_test.go +++ b/go/internal/feast/server/grpc_server_test.go @@ -1,4 +1,4 @@ -package main +package server import ( "context" @@ -16,8 +16,8 @@ import ( "github.com/apache/arrow/go/v8/arrow/memory" "github.com/apache/arrow/go/v8/parquet/file" "github.com/apache/arrow/go/v8/parquet/pqarrow" - "github.com/feast-dev/feast/go/cmd/server/logging" "github.com/feast-dev/feast/go/internal/feast" + "github.com/feast-dev/feast/go/internal/feast/server/logging" "github.com/feast-dev/feast/go/internal/test" "github.com/feast-dev/feast/go/protos/feast/serving" "github.com/feast-dev/feast/go/protos/feast/types" @@ -73,7 +73,7 @@ func getClient(ctx context.Context, offlineStoreType string, basePath string, en if err != nil { panic(err) } - servingServiceServer := newServingServiceServer(fs, loggingService) + servingServiceServer := NewGrpcServingServiceServer(fs, loggingService) serving.RegisterServingServiceServer(server, servingServiceServer) go func() { diff --git a/go/internal/feast/server/logging/feature_repo/__init__.py b/go/internal/feast/server/logging/feature_repo/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/go/cmd/server/logging/feature_repo/driver_stats.parquet b/go/internal/feast/server/logging/feature_repo/driver_stats.parquet similarity index 100% rename from go/cmd/server/logging/feature_repo/driver_stats.parquet rename to go/internal/feast/server/logging/feature_repo/driver_stats.parquet diff --git a/go/cmd/server/logging/feature_repo/example.py b/go/internal/feast/server/logging/feature_repo/example.py similarity index 100% rename from go/cmd/server/logging/feature_repo/example.py rename to go/internal/feast/server/logging/feature_repo/example.py diff --git a/go/cmd/server/logging/feature_repo/feature_store.yaml b/go/internal/feast/server/logging/feature_repo/feature_store.yaml similarity index 100% rename from go/cmd/server/logging/feature_repo/feature_store.yaml rename to go/internal/feast/server/logging/feature_repo/feature_store.yaml diff --git a/go/cmd/server/logging/filelogstorage.go b/go/internal/feast/server/logging/filelogstorage.go similarity index 100% rename from go/cmd/server/logging/filelogstorage.go rename to go/internal/feast/server/logging/filelogstorage.go diff --git a/go/cmd/server/logging/filelogstorage_test.go b/go/internal/feast/server/logging/filelogstorage_test.go similarity index 100% rename from go/cmd/server/logging/filelogstorage_test.go rename to go/internal/feast/server/logging/filelogstorage_test.go diff --git a/go/cmd/server/logging/logging.go b/go/internal/feast/server/logging/logging.go similarity index 100% rename from go/cmd/server/logging/logging.go rename to go/internal/feast/server/logging/logging.go diff --git a/go/cmd/server/logging/logging_test.go b/go/internal/feast/server/logging/logging_test.go similarity index 100% rename from go/cmd/server/logging/logging_test.go rename to go/internal/feast/server/logging/logging_test.go diff --git a/go/cmd/server/logging/offlinelogstorage.go b/go/internal/feast/server/logging/offlinelogstorage.go similarity index 100% rename from go/cmd/server/logging/offlinelogstorage.go rename to go/internal/feast/server/logging/offlinelogstorage.go diff --git a/sdk/python/feast/embedded_go/online_features_service.py b/sdk/python/feast/embedded_go/online_features_service.py index 410af1d8feb..5bb27e2ae03 100644 --- a/sdk/python/feast/embedded_go/online_features_service.py +++ b/sdk/python/feast/embedded_go/online_features_service.py @@ -132,6 +132,9 @@ def get_online_features( resp = record_batch_to_online_response(record_batch) return OnlineResponse(resp) + def start_grpc_server(self, host: str, port: int): + self._service.StartGprcServer(host, port) + def _to_arrow(value, type_hint: Optional[ValueType]) -> pa.Array: if isinstance(value, Value_pb2.RepeatedValue): diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 95b14588499..13c73612f09 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -111,7 +111,7 @@ class FeatureStore: repo_path: Path _registry: Registry _provider: Provider - _go_server: Optional["EmbeddedOnlineFeatureServer"] + _go_server: "EmbeddedOnlineFeatureServer" @log_exceptions def __init__( @@ -1306,6 +1306,18 @@ def get_online_features( native_entity_values=True, ) + def _lazy_init_go_server(self): + """Lazily initialize self._go_server if it hasn't been initialized before.""" + from feast.embedded_go.online_features_service import ( + EmbeddedOnlineFeatureServer, + ) + + # Lazily start the go server on the first request + if self._go_server is None: + self._go_server = EmbeddedOnlineFeatureServer( + str(self.repo_path.absolute()), self.config, self + ) + def _get_online_features( self, features: Union[List[str], FeatureService], @@ -1323,15 +1335,7 @@ def _get_online_features( # If Go feature server is enabled, send request to it instead of going through regular Python logic if self.config.go_feature_retrieval: - from feast.embedded_go.online_features_service import ( - EmbeddedOnlineFeatureServer, - ) - - # Lazily start the go server on the first request - if self._go_server is None: - self._go_server = EmbeddedOnlineFeatureServer( - str(self.repo_path.absolute()), self.config, self - ) + self._lazy_init_go_server() entity_native_values: Dict[str, List[Any]] if not native_entity_values: @@ -1957,7 +1961,14 @@ def _get_feature_views_to_use( @log_exceptions_and_usage def serve(self, host: str, port: int, no_access_log: bool) -> None: """Start the feature consumption server locally on a given port.""" - feature_server.start_server(self, host, port, no_access_log) + if self.config.go_feature_retrieval: + # Start go server instead of python if the flag is enabled + self._lazy_init_go_server() + # TODO(tsotne) add http/grpc flag in CLI and call appropriate method here depending on that + self._go_server.start_grpc_server(host, port) + else: + # Start the python server if go server isn't enabled + feature_server.start_server(self, host, port, no_access_log) @log_exceptions_and_usage def get_feature_server_endpoint(self) -> Optional[str]: From 5200fde81914bf4bb458c2b6a23b47b5d9c6fb32 Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Wed, 27 Apr 2022 22:42:43 +0300 Subject: [PATCH 38/87] chore: Reorganize feature logging in Go for better extensibility (#2614) * decouple logging service Signed-off-by: pyalex * fix repo path in tests Signed-off-by: pyalex --- .gitignore | 2 +- go/embedded/online_features.go | 11 +- go/internal/feast/featurestore.go | 30 ++ go/internal/feast/featurestore_test.go | 3 +- go/internal/feast/model/featureservice.go | 15 +- go/internal/feast/model/featureview.go | 3 +- .../feast/model/ondemandfeatureview.go | 6 +- go/internal/feast/onlineserving/serving.go | 7 +- .../feast/onlineserving/serving_test.go | 7 +- go/internal/feast/onlinestore/onlinestore.go | 4 +- .../feast/onlinestore/redisonlinestore.go | 5 +- .../feast/onlinestore/sqliteonlinestore.go | 8 +- .../onlinestore/sqliteonlinestore_test.go | 11 +- go/internal/feast/registry/local.go | 10 +- go/internal/feast/registry/repoconfig.go | 3 +- go/internal/feast/registry/repoconfig_test.go | 3 +- go/internal/feast/server/grpc_server.go | 17 +- go/internal/feast/server/grpc_server_test.go | 99 +++-- .../server/logging/featureserviceschema.go | 97 +++++ .../logging/featureserviceschema_test.go | 204 +++++++++ .../feast/server/logging/filelogsink.go | 55 +++ .../feast/server/logging/filelogstorage.go | 86 ---- .../server/logging/filelogstorage_test.go | 70 --- go/internal/feast/server/logging/logger.go | 276 ++++++++++++ .../feast/server/logging/logger_test.go | 137 ++++++ go/internal/feast/server/logging/logging.go | 392 ----------------- .../feast/server/logging/logging_test.go | 402 ------------------ .../feast/server/logging/memorybuffer.go | 162 +++++++ .../feast/server/logging/memorybuffer_test.go | 174 ++++++++ .../feast/server/logging/offlinelogstorage.go | 46 -- go/internal/feast/server/logging/service.go | 100 +++++ .../feast/transformation/transformation.go | 8 +- .../logging => test}/feature_repo/__init__.py | 0 .../feature_repo/driver_stats.parquet | Bin .../logging => test}/feature_repo/example.py | 5 +- .../feature_repo/feature_store.yaml | 0 go/internal/test/go_integration_test_utils.go | 27 +- go/types/typeconversion.go | 5 +- go/types/typeconversion_test.go | 8 +- sdk/python/feast/feature_logging.py | 10 +- 40 files changed, 1399 insertions(+), 1109 deletions(-) create mode 100644 go/internal/feast/server/logging/featureserviceschema.go create mode 100644 go/internal/feast/server/logging/featureserviceschema_test.go create mode 100644 go/internal/feast/server/logging/filelogsink.go delete mode 100644 go/internal/feast/server/logging/filelogstorage.go delete mode 100644 go/internal/feast/server/logging/filelogstorage_test.go create mode 100644 go/internal/feast/server/logging/logger.go create mode 100644 go/internal/feast/server/logging/logger_test.go delete mode 100644 go/internal/feast/server/logging/logging.go delete mode 100644 go/internal/feast/server/logging/logging_test.go create mode 100644 go/internal/feast/server/logging/memorybuffer.go create mode 100644 go/internal/feast/server/logging/memorybuffer_test.go delete mode 100644 go/internal/feast/server/logging/offlinelogstorage.go create mode 100644 go/internal/feast/server/logging/service.go rename go/internal/{feast/server/logging => test}/feature_repo/__init__.py (100%) rename go/internal/{feast/server/logging => test}/feature_repo/driver_stats.parquet (100%) rename go/internal/{feast/server/logging => test}/feature_repo/example.py (85%) rename go/internal/{feast/server/logging => test}/feature_repo/feature_store.yaml (100%) diff --git a/.gitignore b/.gitignore index 0f3165e8414..a1d4195fb04 100644 --- a/.gitignore +++ b/.gitignore @@ -105,7 +105,7 @@ coverage.xml .hypothesis/ .pytest_cache/ infra/scripts/*.conf -go/cmd/server/logging/feature_repo/data/ +go/internal/test/feature_repo/data/ # Translations *.mo diff --git a/go/embedded/online_features.go b/go/embedded/online_features.go index 636ccd403b3..c67f9ef7f4e 100644 --- a/go/embedded/online_features.go +++ b/go/embedded/online_features.go @@ -3,20 +3,23 @@ package embedded import ( "context" "fmt" - "github.com/feast-dev/feast/go/internal/feast/server" - "github.com/feast-dev/feast/go/internal/feast/server/logging" - "github.com/feast-dev/feast/go/protos/feast/serving" - "google.golang.org/grpc" "log" "net" "os" "os/signal" "syscall" + "google.golang.org/grpc" + + "github.com/feast-dev/feast/go/internal/feast/server" + "github.com/feast-dev/feast/go/internal/feast/server/logging" + "github.com/feast-dev/feast/go/protos/feast/serving" + "github.com/apache/arrow/go/v8/arrow" "github.com/apache/arrow/go/v8/arrow/array" "github.com/apache/arrow/go/v8/arrow/cdata" "github.com/apache/arrow/go/v8/arrow/memory" + "github.com/feast-dev/feast/go/internal/feast" "github.com/feast-dev/feast/go/internal/feast/model" "github.com/feast-dev/feast/go/internal/feast/onlineserving" diff --git a/go/internal/feast/featurestore.go b/go/internal/feast/featurestore.go index 5e10f4978e0..4ecd781b746 100644 --- a/go/internal/feast/featurestore.go +++ b/go/internal/feast/featurestore.go @@ -5,6 +5,7 @@ import ( "errors" "github.com/apache/arrow/go/v8/arrow/memory" + "github.com/feast-dev/feast/go/internal/feast/model" "github.com/feast-dev/feast/go/internal/feast/onlineserving" "github.com/feast-dev/feast/go/internal/feast/onlinestore" @@ -287,3 +288,32 @@ func (fs *FeatureStore) readFromOnlineStore(ctx context.Context, entityRows []*p } return fs.onlineStore.OnlineRead(ctx, entityRowsValue, requestedFeatureViewNames, requestedFeatureNames) } + +func (fs *FeatureStore) GetFcosMap() (map[string]*model.Entity, map[string]*model.FeatureView, map[string]*model.OnDemandFeatureView, error) { + odfvs, err := fs.ListOnDemandFeatureViews() + if err != nil { + return nil, nil, nil, err + } + fvs, err := fs.ListFeatureViews() + if err != nil { + return nil, nil, nil, err + } + entities, err := fs.ListEntities(true) + if err != nil { + return nil, nil, nil, err + } + + entityMap := make(map[string]*model.Entity) + for _, entity := range entities { + entityMap[entity.Name] = entity + } + fvMap := make(map[string]*model.FeatureView) + for _, fv := range fvs { + fvMap[fv.Base.Name] = fv + } + odfvMap := make(map[string]*model.OnDemandFeatureView) + for _, odfv := range odfvs { + odfvMap[odfv.Base.Name] = odfv + } + return entityMap, fvMap, odfvMap, nil +} diff --git a/go/internal/feast/featurestore_test.go b/go/internal/feast/featurestore_test.go index c8f9049c4a5..dd08bc287e9 100644 --- a/go/internal/feast/featurestore_test.go +++ b/go/internal/feast/featurestore_test.go @@ -6,10 +6,11 @@ import ( "runtime" "testing" + "github.com/stretchr/testify/assert" + "github.com/feast-dev/feast/go/internal/feast/onlinestore" "github.com/feast-dev/feast/go/internal/feast/registry" "github.com/feast-dev/feast/go/protos/feast/types" - "github.com/stretchr/testify/assert" ) // Return absolute path to the test_repo registry regardless of the working directory diff --git a/go/internal/feast/model/featureservice.go b/go/internal/feast/model/featureservice.go index 5619dd90426..ce2781efc28 100644 --- a/go/internal/feast/model/featureservice.go +++ b/go/internal/feast/model/featureservice.go @@ -1,8 +1,9 @@ package model import ( - "github.com/feast-dev/feast/go/protos/feast/core" timestamppb "google.golang.org/protobuf/types/known/timestamppb" + + "github.com/feast-dev/feast/go/protos/feast/core" ) type FeatureService struct { @@ -11,6 +12,11 @@ type FeatureService struct { CreatedTimestamp *timestamppb.Timestamp LastUpdatedTimestamp *timestamppb.Timestamp Projections []*FeatureViewProjection + LoggingConfig *FeatureServiceLoggingConfig +} + +type FeatureServiceLoggingConfig struct { + SampleRate float32 } func NewFeatureServiceFromProto(proto *core.FeatureService) *FeatureService { @@ -18,10 +24,17 @@ func NewFeatureServiceFromProto(proto *core.FeatureService) *FeatureService { for index, projectionProto := range proto.Spec.Features { projections[index] = NewFeatureViewProjectionFromProto(projectionProto) } + var loggingConfig *FeatureServiceLoggingConfig + if proto.GetSpec().GetLoggingConfig() != nil { + loggingConfig = &FeatureServiceLoggingConfig{ + SampleRate: proto.GetSpec().GetLoggingConfig().SampleRate, + } + } return &FeatureService{Name: proto.Spec.Name, Project: proto.Spec.Project, CreatedTimestamp: proto.Meta.CreatedTimestamp, LastUpdatedTimestamp: proto.Meta.LastUpdatedTimestamp, Projections: projections, + LoggingConfig: loggingConfig, } } diff --git a/go/internal/feast/model/featureview.go b/go/internal/feast/model/featureview.go index 85fc7a60eeb..6c198f99947 100644 --- a/go/internal/feast/model/featureview.go +++ b/go/internal/feast/model/featureview.go @@ -1,9 +1,10 @@ package model import ( + durationpb "google.golang.org/protobuf/types/known/durationpb" + "github.com/feast-dev/feast/go/protos/feast/core" "github.com/feast-dev/feast/go/protos/feast/types" - durationpb "google.golang.org/protobuf/types/known/durationpb" ) const ( diff --git a/go/internal/feast/model/ondemandfeatureview.go b/go/internal/feast/model/ondemandfeatureview.go index b7a352cc205..b637cd75ed0 100644 --- a/go/internal/feast/model/ondemandfeatureview.go +++ b/go/internal/feast/model/ondemandfeatureview.go @@ -49,8 +49,10 @@ func (fs *OnDemandFeatureView) NewWithProjection(projection *FeatureViewProjecti } func NewOnDemandFeatureViewFromBase(base *BaseFeatureView) *OnDemandFeatureView { - - featureView := &OnDemandFeatureView{Base: base} + featureView := &OnDemandFeatureView{ + Base: base, + SourceFeatureViewProjections: map[string]*FeatureViewProjection{}, + SourceRequestDataSources: map[string]*core.DataSource_RequestDataOptions{}} return featureView } diff --git a/go/internal/feast/onlineserving/serving.go b/go/internal/feast/onlineserving/serving.go index 381ba5f0f2f..1d0567c3547 100644 --- a/go/internal/feast/onlineserving/serving.go +++ b/go/internal/feast/onlineserving/serving.go @@ -9,14 +9,15 @@ import ( "github.com/apache/arrow/go/v8/arrow" "github.com/apache/arrow/go/v8/arrow/memory" + "github.com/golang/protobuf/proto" + "google.golang.org/protobuf/types/known/durationpb" + "google.golang.org/protobuf/types/known/timestamppb" + "github.com/feast-dev/feast/go/internal/feast/model" "github.com/feast-dev/feast/go/internal/feast/onlinestore" "github.com/feast-dev/feast/go/protos/feast/serving" prototypes "github.com/feast-dev/feast/go/protos/feast/types" "github.com/feast-dev/feast/go/types" - "github.com/golang/protobuf/proto" - "google.golang.org/protobuf/types/known/durationpb" - "google.golang.org/protobuf/types/known/timestamppb" ) /* diff --git a/go/internal/feast/onlineserving/serving_test.go b/go/internal/feast/onlineserving/serving_test.go index 2f4cf8eabaa..0a00f546f9e 100644 --- a/go/internal/feast/onlineserving/serving_test.go +++ b/go/internal/feast/onlineserving/serving_test.go @@ -3,12 +3,13 @@ package onlineserving import ( "testing" - "github.com/feast-dev/feast/go/internal/feast/model" - "github.com/feast-dev/feast/go/protos/feast/core" - "github.com/feast-dev/feast/go/protos/feast/types" "github.com/stretchr/testify/assert" "google.golang.org/protobuf/types/known/durationpb" "google.golang.org/protobuf/types/known/timestamppb" + + "github.com/feast-dev/feast/go/internal/feast/model" + "github.com/feast-dev/feast/go/protos/feast/core" + "github.com/feast-dev/feast/go/protos/feast/types" ) func TestGroupingFeatureRefs(t *testing.T) { diff --git a/go/internal/feast/onlinestore/onlinestore.go b/go/internal/feast/onlinestore/onlinestore.go index 433b96c08e4..64a05f144ce 100644 --- a/go/internal/feast/onlinestore/onlinestore.go +++ b/go/internal/feast/onlinestore/onlinestore.go @@ -3,11 +3,13 @@ package onlinestore import ( "context" "fmt" + "github.com/feast-dev/feast/go/internal/feast/registry" + "github.com/golang/protobuf/ptypes/timestamp" + "github.com/feast-dev/feast/go/protos/feast/serving" "github.com/feast-dev/feast/go/protos/feast/types" - "github.com/golang/protobuf/ptypes/timestamp" ) type FeatureData struct { diff --git a/go/internal/feast/onlinestore/redisonlinestore.go b/go/internal/feast/onlinestore/redisonlinestore.go index 9049eae1033..df04856cbfa 100644 --- a/go/internal/feast/onlinestore/redisonlinestore.go +++ b/go/internal/feast/onlinestore/redisonlinestore.go @@ -9,12 +9,13 @@ import ( "strconv" "strings" - "github.com/feast-dev/feast/go/protos/feast/serving" - "github.com/feast-dev/feast/go/protos/feast/types" "github.com/go-redis/redis/v8" "github.com/golang/protobuf/proto" "github.com/spaolacci/murmur3" timestamppb "google.golang.org/protobuf/types/known/timestamppb" + + "github.com/feast-dev/feast/go/protos/feast/serving" + "github.com/feast-dev/feast/go/protos/feast/types" ) type redisType int diff --git a/go/internal/feast/onlinestore/sqliteonlinestore.go b/go/internal/feast/onlinestore/sqliteonlinestore.go index f8c53255455..94ba0c0d568 100644 --- a/go/internal/feast/onlinestore/sqliteonlinestore.go +++ b/go/internal/feast/onlinestore/sqliteonlinestore.go @@ -5,19 +5,21 @@ import ( "database/sql" "encoding/hex" "errors" - "github.com/feast-dev/feast/go/internal/feast/registry" "strings" "sync" "time" + "github.com/feast-dev/feast/go/internal/feast/registry" + "context" "fmt" - "github.com/feast-dev/feast/go/protos/feast/serving" - "github.com/feast-dev/feast/go/protos/feast/types" _ "github.com/mattn/go-sqlite3" "google.golang.org/protobuf/proto" timestamppb "google.golang.org/protobuf/types/known/timestamppb" + + "github.com/feast-dev/feast/go/protos/feast/serving" + "github.com/feast-dev/feast/go/protos/feast/types" ) type SqliteOnlineStore struct { diff --git a/go/internal/feast/onlinestore/sqliteonlinestore_test.go b/go/internal/feast/onlinestore/sqliteonlinestore_test.go index cbee9cd91c2..5af1c1f4ce4 100644 --- a/go/internal/feast/onlinestore/sqliteonlinestore_test.go +++ b/go/internal/feast/onlinestore/sqliteonlinestore_test.go @@ -8,17 +8,18 @@ import ( "github.com/feast-dev/feast/go/internal/feast/registry" + "github.com/stretchr/testify/assert" + "github.com/feast-dev/feast/go/internal/test" "github.com/feast-dev/feast/go/protos/feast/types" - "github.com/stretchr/testify/assert" ) func TestSqliteAndFeatureRepoSetup(t *testing.T) { - dir := "../../test" + dir := t.TempDir() feature_repo_path := filepath.Join(dir, "feature_repo") err := test.SetupCleanFeatureRepo(dir) assert.Nil(t, err) - defer test.CleanUpRepo(dir) + config, err := registry.NewRepoConfigFromFile(feature_repo_path) assert.Nil(t, err) assert.Equal(t, "feature_repo", config.Project) @@ -33,10 +34,10 @@ func TestSqliteAndFeatureRepoSetup(t *testing.T) { } func TestSqliteOnlineRead(t *testing.T) { - dir := "../../test" + dir := t.TempDir() feature_repo_path := filepath.Join(dir, "feature_repo") test.SetupCleanFeatureRepo(dir) - defer test.CleanUpRepo(dir) + config, err := registry.NewRepoConfigFromFile(feature_repo_path) assert.Nil(t, err) store, err := NewSqliteOnlineStore("feature_repo", config, config.OnlineStore) diff --git a/go/internal/feast/registry/local.go b/go/internal/feast/registry/local.go index 22db73a3206..8b35e5756b6 100644 --- a/go/internal/feast/registry/local.go +++ b/go/internal/feast/registry/local.go @@ -1,13 +1,15 @@ package registry import ( - "github.com/feast-dev/feast/go/protos/feast/core" - "github.com/golang/protobuf/proto" - "github.com/google/uuid" - "google.golang.org/protobuf/types/known/timestamppb" "io/ioutil" "os" "path/filepath" + + "github.com/golang/protobuf/proto" + "github.com/google/uuid" + "google.golang.org/protobuf/types/known/timestamppb" + + "github.com/feast-dev/feast/go/protos/feast/core" ) // A LocalRegistryStore is a file-based implementation of the RegistryStore interface. diff --git a/go/internal/feast/registry/repoconfig.go b/go/internal/feast/registry/repoconfig.go index e5efd899de9..59d125b1bfc 100644 --- a/go/internal/feast/registry/repoconfig.go +++ b/go/internal/feast/registry/repoconfig.go @@ -2,9 +2,10 @@ package registry import ( "encoding/json" - "github.com/ghodss/yaml" "io/ioutil" "path/filepath" + + "github.com/ghodss/yaml" ) const ( diff --git a/go/internal/feast/registry/repoconfig_test.go b/go/internal/feast/registry/repoconfig_test.go index c3336fd618f..848977886c9 100644 --- a/go/internal/feast/registry/repoconfig_test.go +++ b/go/internal/feast/registry/repoconfig_test.go @@ -1,10 +1,11 @@ package registry import ( - "github.com/stretchr/testify/assert" "os" "path/filepath" "testing" + + "github.com/stretchr/testify/assert" ) func TestNewRepoConfig(t *testing.T) { diff --git a/go/internal/feast/server/grpc_server.go b/go/internal/feast/server/grpc_server.go index 08f624b6bda..c5aabd52d97 100644 --- a/go/internal/feast/server/grpc_server.go +++ b/go/internal/feast/server/grpc_server.go @@ -2,13 +2,15 @@ package server import ( "context" + "fmt" + + "github.com/google/uuid" "github.com/feast-dev/feast/go/internal/feast" "github.com/feast-dev/feast/go/internal/feast/server/logging" "github.com/feast-dev/feast/go/protos/feast/serving" prototypes "github.com/feast-dev/feast/go/protos/feast/types" "github.com/feast-dev/feast/go/types" - "github.com/google/uuid" ) const feastServerVersion = "0.0.1" @@ -55,7 +57,7 @@ func (s *grpcServingServiceServer) GetOnlineFeatures(ctx context.Context, reques FeatureNames: &serving.FeatureList{Val: make([]string, 0)}, }, } - // Entities are currently part of the features as a value and the order that we add it to the resp MetaData + // JoinKeys are currently part of the features as a value and the order that we add it to the resp MetaData // Need to figure out a way to map the correct entities to the correct ordering entityValuesMap := make(map[string][]*prototypes.Value, 0) featureNames := make([]string, len(featureVectors)) @@ -76,8 +78,17 @@ func (s *grpcServingServiceServer) GetOnlineFeatures(ctx context.Context, reques EventTimestamps: vector.Timestamps, }) } + if featuresOrService.FeatureService != nil && s.loggingService != nil { - go s.loggingService.GenerateLogs(featuresOrService.FeatureService, entityValuesMap, resp.Results[len(request.Entities):], request.RequestContext, requestId) + logger, err := s.loggingService.GetOrCreateLogger(featuresOrService.FeatureService) + if err != nil { + fmt.Printf("Couldn't instantiate logger for feature service %s: %+v", featuresOrService.FeatureService.Name, err) + } + + err = logger.Log(entityValuesMap, resp.Results[len(request.Entities):], resp.Metadata.FeatureNames.Val[len(request.Entities):], request.RequestContext, requestId) + if err != nil { + fmt.Printf("LoggerImpl error[%s]: %+v", featuresOrService.FeatureService.Name, err) + } } return resp, nil } diff --git a/go/internal/feast/server/grpc_server_test.go b/go/internal/feast/server/grpc_server_test.go index 090a8738111..52960321319 100644 --- a/go/internal/feast/server/grpc_server_test.go +++ b/go/internal/feast/server/grpc_server_test.go @@ -2,6 +2,7 @@ package server import ( "context" + "io/ioutil" "net" "os" "path/filepath" @@ -10,20 +11,23 @@ import ( "testing" "time" + "github.com/stretchr/testify/require" + "github.com/feast-dev/feast/go/internal/feast/registry" "github.com/apache/arrow/go/v8/arrow/array" "github.com/apache/arrow/go/v8/arrow/memory" "github.com/apache/arrow/go/v8/parquet/file" "github.com/apache/arrow/go/v8/parquet/pqarrow" + "github.com/stretchr/testify/assert" + "google.golang.org/grpc" + "google.golang.org/grpc/test/bufconn" + "github.com/feast-dev/feast/go/internal/feast" "github.com/feast-dev/feast/go/internal/feast/server/logging" "github.com/feast-dev/feast/go/internal/test" "github.com/feast-dev/feast/go/protos/feast/serving" "github.com/feast-dev/feast/go/protos/feast/types" - "github.com/stretchr/testify/assert" - "google.golang.org/grpc" - "google.golang.org/grpc/test/bufconn" ) // Return absolute path to the test_repo directory regardless of the working directory @@ -41,27 +45,12 @@ func getRepoPath(basePath string) string { } // Starts a new grpc server, registers the serving service and returns a client. -func getClient(ctx context.Context, offlineStoreType string, basePath string, enableLogging bool) (serving.ServingServiceClient, func()) { +func getClient(ctx context.Context, offlineStoreType string, basePath string, logPath string) (serving.ServingServiceClient, func()) { buffer := 1024 * 1024 listener := bufconn.Listen(buffer) server := grpc.NewServer() config, err := registry.NewRepoConfigFromFile(getRepoPath(basePath)) - - // TODO(kevjumba): either add this officially or talk in design review about what the correct solution for what do with path. - // Currently in python we use the path in FileSource but it is not specified in configuration unless it is using file_url? - if enableLogging { - if config.OfflineStore == nil { - config.OfflineStore = map[string]interface{}{} - } - absPath, err := filepath.Abs(filepath.Join(getRepoPath(basePath), "log.parquet")) - if err != nil { - panic(err) - } - config.OfflineStore["path"] = absPath - config.OfflineStore["storeType"] = offlineStoreType - } - if err != nil { panic(err) } @@ -69,7 +58,20 @@ func getClient(ctx context.Context, offlineStoreType string, basePath string, en if err != nil { panic(err) } - loggingService, err := logging.NewLoggingService(fs, 1000, "test_service", enableLogging) + + var logSink logging.LogSink + if logPath != "" { + logSink, err = logging.NewFileLogSink(logPath) + if err != nil { + panic(err) + } + } + loggingService, err := logging.NewLoggingService(fs, logSink, logging.LoggingOptions{ + WriteInterval: 10 * time.Millisecond, + FlushInterval: logging.DefaultOptions.FlushInterval, + EmitTimeout: logging.DefaultOptions.EmitTimeout, + ChannelCapacity: logging.DefaultOptions.ChannelCapacity, + }) if err != nil { panic(err) } @@ -99,12 +101,13 @@ func getClient(ctx context.Context, offlineStoreType string, basePath string, en func TestGetFeastServingInfo(t *testing.T) { ctx := context.Background() // Pregenerated using `feast init`. - dir := "logging/" + dir := "../../test/" err := test.SetupInitializedRepo(dir) - assert.Nil(t, err) defer test.CleanUpInitializedRepo(dir) - client, closer := getClient(ctx, "", dir, false) + require.Nil(t, err) + + client, closer := getClient(ctx, "", dir, "") defer closer() response, err := client.GetFeastServingInfo(ctx, &serving.GetFeastServingInfoRequest{}) assert.Nil(t, err) @@ -114,12 +117,13 @@ func TestGetFeastServingInfo(t *testing.T) { func TestGetOnlineFeaturesSqlite(t *testing.T) { ctx := context.Background() // Pregenerated using `feast init`. - dir := "logging/" + dir := "../../test/" err := test.SetupInitializedRepo(dir) - assert.Nil(t, err) defer test.CleanUpInitializedRepo(dir) - client, closer := getClient(ctx, "", dir, false) + require.Nil(t, err) + + client, closer := getClient(ctx, "", dir, "") defer closer() entities := make(map[string]*types.RepeatedValue) entities["driver_id"] = &types.RepeatedValue{ @@ -173,12 +177,14 @@ func TestGetOnlineFeaturesSqlite(t *testing.T) { func TestGetOnlineFeaturesSqliteWithLogging(t *testing.T) { ctx := context.Background() // Pregenerated using `feast init`. - dir := "logging/" + dir := "../../test/" err := test.SetupInitializedRepo(dir) - assert.Nil(t, err) defer test.CleanUpInitializedRepo(dir) - client, closer := getClient(ctx, "file", dir, true) + require.Nil(t, err) + + logPath := t.TempDir() + client, closer := getClient(ctx, "file", dir, logPath) defer closer() entities := make(map[string]*types.RepeatedValue) entities["driver_id"] = &types.RepeatedValue{ @@ -207,18 +213,20 @@ func TestGetOnlineFeaturesSqliteWithLogging(t *testing.T) { // TODO(kevjumba): implement for timestamp and status expectedLogValues, _, _ := GetExpectedLogRows(featureNames, response.Results[len(request.Entities):]) expectedLogValues["driver_id"] = entities["driver_id"] - logPath, err := filepath.Abs(filepath.Join(dir, "feature_repo", "log.parquet")) + // Wait for logger to flush. - assert.Eventually(t, func() bool { - var _, err = os.Stat(logPath) - if os.IsNotExist(err) { + require.Eventually(t, func() bool { + files, err := ioutil.ReadDir(logPath) + if err != nil || len(files) == 0 { return false - } else { - return true } - }, 1*time.Second, logging.DEFAULT_LOG_FLUSH_INTERVAL) - assert.Nil(t, err) - pf, err := file.OpenParquetFile(logPath, false) + stat, err := os.Stat(filepath.Join(logPath, files[0].Name())) + return err == nil && stat.Size() > 0 + }, 1*time.Second, 100*time.Millisecond) + + files, err := ioutil.ReadDir(logPath) + logFile := filepath.Join(logPath, files[0].Name()) + pf, err := file.OpenParquetFile(logFile, false) assert.Nil(t, err) reader, err := pqarrow.NewFileReader(pf, pqarrow.ArrowReadProperties{}, memory.DefaultAllocator) @@ -232,26 +240,23 @@ func TestGetOnlineFeaturesSqliteWithLogging(t *testing.T) { for tr.Next() { rec := tr.Record() assert.NotNil(t, rec) - values, err := test.GetProtoFromRecord(rec) + actualValues, err := test.GetProtoFromRecord(rec) assert.Nil(t, err) - assert.Equal(t, len(values)-1 /*request id column not counted*/, len(expectedLogValues)) - // Need to iterate through and compare because certain values in types.RepeatedValues aren't accurately being compared. - for name, val := range values { + // Need to iterate through and compare because certain actualValues in types.RepeatedValues aren't accurately being compared. + for name, val := range expectedLogValues { if name == "RequestId" { // Ensure there are request ids for each entity. - assert.Equal(t, len(val.Val), len(response.Results[0].Values)) + assert.Equal(t, len(val.Val), len(actualValues[name].Val)) } else { - assert.Equal(t, len(val.Val), len(expectedLogValues[name].Val)) + assert.Equal(t, len(val.Val), len(actualValues[name].Val)) for idx, featureVal := range val.Val { - assert.Equal(t, featureVal.Val, expectedLogValues[name].Val[idx].Val) + assert.Equal(t, featureVal.Val, actualValues[name].Val[idx].Val) } } } } - err = test.CleanUpFile(logPath) - assert.Nil(t, err) } // Generate the expected log rows based on the resulting feature vector returned from GetOnlineFeatures. diff --git a/go/internal/feast/server/logging/featureserviceschema.go b/go/internal/feast/server/logging/featureserviceschema.go new file mode 100644 index 00000000000..5047346c2ca --- /dev/null +++ b/go/internal/feast/server/logging/featureserviceschema.go @@ -0,0 +1,97 @@ +package logging + +import ( + "fmt" + + "github.com/feast-dev/feast/go/internal/feast/model" + "github.com/feast-dev/feast/go/protos/feast/types" +) + +type FeatureServiceSchema struct { + JoinKeys []string + Features []string + RequestData []string + + JoinKeysTypes map[string]types.ValueType_Enum + FeaturesTypes map[string]types.ValueType_Enum + RequestDataTypes map[string]types.ValueType_Enum +} + +func GenerateSchemaFromFeatureService(fs FeatureStore, featureServiceName string) (*FeatureServiceSchema, error) { + entityMap, fvMap, odFvMap, err := fs.GetFcosMap() + if err != nil { + return nil, err + } + + featureService, err := fs.GetFeatureService(featureServiceName) + if err != nil { + return nil, err + } + + return generateSchema(featureService, entityMap, fvMap, odFvMap) +} + +func generateSchema(featureService *model.FeatureService, entityMap map[string]*model.Entity, fvMap map[string]*model.FeatureView, odFvMap map[string]*model.OnDemandFeatureView) (*FeatureServiceSchema, error) { + joinKeys := make([]string, 0) + features := make([]string, 0) + requestData := make([]string, 0) + + joinKeysSet := make(map[string]interface{}) + + entityJoinKeyToType := make(map[string]types.ValueType_Enum) + allFeatureTypes := make(map[string]types.ValueType_Enum) + requestDataTypes := make(map[string]types.ValueType_Enum) + + for _, featureProjection := range featureService.Projections { + // Create copies of FeatureView that may contains the same *FeatureView but + // each differentiated by a *FeatureViewProjection + featureViewName := featureProjection.Name + if fv, ok := fvMap[featureViewName]; ok { + for _, f := range featureProjection.Features { + fullFeatureName := getFullFeatureName(featureProjection.NameToUse(), f.Name) + features = append(features, fullFeatureName) + allFeatureTypes[fullFeatureName] = f.Dtype + } + for _, entityName := range fv.Entities { + entity := entityMap[entityName] + var joinKey string + if joinKeyAlias, ok := featureProjection.JoinKeyMap[entity.JoinKey]; ok { + joinKey = joinKeyAlias + } else { + joinKey = entity.JoinKey + } + + if _, ok := joinKeysSet[joinKey]; !ok { + joinKeys = append(joinKeys, joinKey) + } + + joinKeysSet[joinKey] = nil + entityJoinKeyToType[joinKey] = entity.ValueType + } + } else if odFv, ok := odFvMap[featureViewName]; ok { + for _, f := range featureProjection.Features { + fullFeatureName := getFullFeatureName(featureProjection.NameToUse(), f.Name) + features = append(features, fullFeatureName) + allFeatureTypes[fullFeatureName] = f.Dtype + } + for paramName, paramType := range odFv.GetRequestDataSchema() { + requestData = append(requestData, paramName) + requestDataTypes[paramName] = paramType + } + } else { + return nil, fmt.Errorf("no such feature view %s found (referenced from feature service %s)", + featureViewName, featureService.Name) + } + } + + schema := &FeatureServiceSchema{ + JoinKeys: joinKeys, + Features: features, + RequestData: requestData, + + JoinKeysTypes: entityJoinKeyToType, + FeaturesTypes: allFeatureTypes, + RequestDataTypes: requestDataTypes, + } + return schema, nil +} diff --git a/go/internal/feast/server/logging/featureserviceschema_test.go b/go/internal/feast/server/logging/featureserviceschema_test.go new file mode 100644 index 00000000000..efcd5ec7fcc --- /dev/null +++ b/go/internal/feast/server/logging/featureserviceschema_test.go @@ -0,0 +1,204 @@ +package logging + +import ( + "math/rand" + "testing" + "time" + + "github.com/stretchr/testify/assert" + + "github.com/feast-dev/feast/go/internal/feast/model" + "github.com/feast-dev/feast/go/internal/test" + "github.com/feast-dev/feast/go/protos/feast/core" + "github.com/feast-dev/feast/go/protos/feast/types" +) + +func buildFCOMaps(entities []*model.Entity, fvs []*model.FeatureView, odFvs []*model.OnDemandFeatureView) (map[string]*model.Entity, map[string]*model.FeatureView, map[string]*model.OnDemandFeatureView) { + entityMap := make(map[string]*model.Entity) + fvMap := make(map[string]*model.FeatureView) + odFvMap := make(map[string]*model.OnDemandFeatureView) + + for _, entity := range entities { + entityMap[entity.Name] = entity + } + + for _, fv := range fvs { + fvMap[fv.Base.Name] = fv + } + + for _, fv := range odFvs { + odFvMap[fv.Base.Name] = fv + } + + return entityMap, fvMap, odFvMap +} + +func TestSchemaTypeRetrieval(t *testing.T) { + featureService, entities, fvs, odfvs := InitializeFeatureRepoVariablesForTest() + entityMap, fvMap, odFvMap := buildFCOMaps(entities, fvs, odfvs) + + expectedFeatureNames := make([]string, 0) + expectedRequestData := make([]string, 0) + + for _, featureView := range fvs { + for _, f := range featureView.Base.Features { + expectedFeatureNames = append(expectedFeatureNames, getFullFeatureName(featureView.Base.Name, f.Name)) + } + } + for _, odFv := range odfvs { + for _, f := range odFv.Base.Features { + expectedFeatureNames = append(expectedFeatureNames, getFullFeatureName(odFv.Base.Name, f.Name)) + } + for _, dataSource := range odFv.SourceRequestDataSources { + for _, field := range dataSource.Schema { + expectedRequestData = append(expectedRequestData, field.Name) + } + } + } + + schema, err := generateSchema(featureService, entityMap, fvMap, odFvMap) + assert.Nil(t, err) + + assert.Equal(t, expectedFeatureNames, schema.Features) + assert.Equal(t, []string{"driver_id"}, schema.JoinKeys) + assert.Equal(t, schema.JoinKeysTypes["driver_id"], types.ValueType_INT64) + + types := []types.ValueType_Enum{*types.ValueType_INT64.Enum(), *types.ValueType_FLOAT.Enum(), *types.ValueType_INT32.Enum(), *types.ValueType_DOUBLE.Enum(), *types.ValueType_INT32.Enum(), *types.ValueType_DOUBLE.Enum()} + for idx, featureName := range expectedFeatureNames { + assert.Contains(t, schema.FeaturesTypes, featureName) + assert.Equal(t, schema.FeaturesTypes[featureName], types[idx]) + } +} + +func TestSchemaRetrievalIgnoresEntitiesNotInFeatureService(t *testing.T) { + featureService, entities, fvs, odfvs := InitializeFeatureRepoVariablesForTest() + entityMap, fvMap, odFvMap := buildFCOMaps(entities, fvs, odfvs) + + //Remove entities in featureservice + for _, featureView := range fvs { + featureView.Entities = []string{} + } + + schema, err := generateSchema(featureService, entityMap, fvMap, odFvMap) + assert.Nil(t, err) + assert.Empty(t, schema.JoinKeysTypes) +} + +func TestSchemaUsesOrderInFeatureService(t *testing.T) { + featureService, entities, fvs, odfvs := InitializeFeatureRepoVariablesForTest() + entityMap, fvMap, odFvMap := buildFCOMaps(entities, fvs, odfvs) + + expectedFeatureNames := make([]string, 0) + + // Source of truth for order of featureNames + for _, featureView := range fvs { + for _, f := range featureView.Base.Features { + expectedFeatureNames = append(expectedFeatureNames, getFullFeatureName(featureView.Base.Name, f.Name)) + } + } + for _, featureView := range odfvs { + for _, f := range featureView.Base.Features { + expectedFeatureNames = append(expectedFeatureNames, getFullFeatureName(featureView.Base.Name, f.Name)) + } + } + + rand.Seed(time.Now().UnixNano()) + // Shuffle the featureNames in incorrect order + for _, featureView := range fvs { + rand.Shuffle(len(featureView.Base.Features), func(i, j int) { + featureView.Base.Features[i], featureView.Base.Features[j] = featureView.Base.Features[j], featureView.Base.Features[i] + }) + } + for _, featureView := range odfvs { + rand.Shuffle(len(featureView.Base.Features), func(i, j int) { + featureView.Base.Features[i], featureView.Base.Features[j] = featureView.Base.Features[j], featureView.Base.Features[i] + }) + } + + schema, err := generateSchema(featureService, entityMap, fvMap, odFvMap) + assert.Nil(t, err) + + // Ensure the same results + assert.Equal(t, expectedFeatureNames, schema.Features) + assert.Equal(t, []string{"driver_id"}, schema.JoinKeys) + +} + +// Initialize all dummy featureservice, entities and featureviews/on demand featureviews for testing. +func InitializeFeatureRepoVariablesForTest() (*model.FeatureService, []*model.Entity, []*model.FeatureView, []*model.OnDemandFeatureView) { + f1 := test.CreateNewFeature( + "int64", + types.ValueType_INT64, + ) + f2 := test.CreateNewFeature( + "float32", + types.ValueType_FLOAT, + ) + projection1 := test.CreateNewFeatureViewProjection( + "featureView1", + "", + []*model.Feature{f1, f2}, + map[string]string{}, + ) + baseFeatureView1 := test.CreateBaseFeatureView( + "featureView1", + []*model.Feature{f1, f2}, + projection1, + ) + featureView1 := test.CreateFeatureView(baseFeatureView1, nil, []string{"driver_id"}) + entity1 := test.CreateNewEntity("driver_id", types.ValueType_INT64, "driver_id") + f3 := test.CreateNewFeature( + "int32", + types.ValueType_INT32, + ) + f4 := test.CreateNewFeature( + "double", + types.ValueType_DOUBLE, + ) + projection2 := test.CreateNewFeatureViewProjection( + "featureView2", + "", + []*model.Feature{f3, f4}, + map[string]string{}, + ) + baseFeatureView2 := test.CreateBaseFeatureView( + "featureView2", + []*model.Feature{f3, f4}, + projection2, + ) + featureView2 := test.CreateFeatureView(baseFeatureView2, nil, []string{"driver_id"}) + + f5 := test.CreateNewFeature( + "odfv_f1", + types.ValueType_INT32, + ) + f6 := test.CreateNewFeature( + "odfv_f2", + types.ValueType_DOUBLE, + ) + projection3 := test.CreateNewFeatureViewProjection( + "od_bf1", + "", + []*model.Feature{f5, f6}, + map[string]string{}, + ) + od_bf1 := test.CreateBaseFeatureView( + "od_bf1", + []*model.Feature{f5, f6}, + projection3, + ) + odfv := model.NewOnDemandFeatureViewFromBase(od_bf1) + odfv.SourceRequestDataSources["input"] = &core.DataSource_RequestDataOptions{ + Schema: []*core.FeatureSpecV2{ + {Name: "param1", ValueType: types.ValueType_FLOAT}, + }, + } + featureService := test.CreateNewFeatureService( + "test_service", + "test_project", + nil, + nil, + []*model.FeatureViewProjection{projection1, projection2, projection3}, + ) + return featureService, []*model.Entity{entity1}, []*model.FeatureView{featureView1, featureView2}, []*model.OnDemandFeatureView{odfv} +} diff --git a/go/internal/feast/server/logging/filelogsink.go b/go/internal/feast/server/logging/filelogsink.go new file mode 100644 index 00000000000..1d9afcd5234 --- /dev/null +++ b/go/internal/feast/server/logging/filelogsink.go @@ -0,0 +1,55 @@ +package logging + +import ( + "fmt" + "io" + "os" + "path/filepath" + + "github.com/pkg/errors" + + "github.com/apache/arrow/go/v8/arrow" + "github.com/google/uuid" + + "github.com/apache/arrow/go/v8/arrow/array" + "github.com/apache/arrow/go/v8/parquet" + "github.com/apache/arrow/go/v8/parquet/pqarrow" +) + +type FileLogSink struct { + path string +} + +// FileLogSink is currently only used for testing. It will be instantiated during go unit tests to log to file +// and the parquet files will be cleaned up after the test is run. +func NewFileLogSink(path string) (*FileLogSink, error) { + if path == "" { + return nil, errors.New("need path for file log sink") + } + + absPath, err := filepath.Abs(path) + if err != nil { + return nil, err + } + return &FileLogSink{path: absPath}, nil +} + +func (s *FileLogSink) Write(record arrow.Record) error { + fileName, _ := uuid.NewUUID() + + var writer io.Writer + writer, err := os.Create(filepath.Join(s.path, fmt.Sprintf("%s.parquet", fileName.String()))) + if err != nil { + return err + } + table := array.NewTableFromRecords(record.Schema(), []arrow.Record{record}) + + props := parquet.NewWriterProperties(parquet.WithDictionaryDefault(false)) + arrProps := pqarrow.DefaultWriterProps() + return pqarrow.WriteTable(table, writer, 100, props, arrProps) +} + +func (s *FileLogSink) Flush() error { + // files are already flushed during Write + return nil +} diff --git a/go/internal/feast/server/logging/filelogstorage.go b/go/internal/feast/server/logging/filelogstorage.go deleted file mode 100644 index 19e9569e69d..00000000000 --- a/go/internal/feast/server/logging/filelogstorage.go +++ /dev/null @@ -1,86 +0,0 @@ -package logging - -import ( - "errors" - "fmt" - "io" - "os" - "path/filepath" - - "github.com/apache/arrow/go/v8/arrow/array" - "github.com/apache/arrow/go/v8/parquet" - "github.com/apache/arrow/go/v8/parquet/pqarrow" - "github.com/feast-dev/feast/go/internal/feast/registry" -) - -type FileLogStorage struct { - // Feast project name - project string - path string -} - -func GetFileConfig(config *registry.RepoConfig) (*OfflineLogStoreConfig, error) { - fileConfig := OfflineLogStoreConfig{ - storeType: "file", - } - if onlineStorePath, ok := config.OfflineStore["path"]; ok { - path, success := onlineStorePath.(string) - if !success { - return &fileConfig, fmt.Errorf("path, %s, cannot be converted to string", path) - } - fileConfig.path = path - } else { - return nil, errors.New("need path for file log storage") - } - return &fileConfig, nil -} - -// This offline store is currently only used for testing. It will be instantiated during go unit tests to log to file -// and the parquet files will be cleaned up after the test is run. -func NewFileOfflineStore(project string, offlineStoreConfig *OfflineLogStoreConfig) (*FileLogStorage, error) { - store := FileLogStorage{project: project} - var absPath string - var err error - // TODO(kevjumba) remove this default catch. - if offlineStoreConfig.path != "" { - absPath, err = filepath.Abs(offlineStoreConfig.path) - } else { - return nil, errors.New("need path for file log storage") - } - if err != nil { - return nil, err - } - store.path = absPath - return &store, nil -} - -func openLogFile(absPath string) (*os.File, error) { - var _, err = os.Stat(absPath) - - // create file if not exists - if os.IsNotExist(err) { - var file, err = os.Create(absPath) - if err != nil { - return nil, err - } - return file, nil - } else { - return nil, fmt.Errorf("path %s already exists", absPath) - } -} - -func (f *FileLogStorage) FlushToStorage(tbl array.Table) error { - w, err := openLogFile(f.path) - var writer io.Writer = w - if err != nil { - return err - } - props := parquet.NewWriterProperties(parquet.WithDictionaryDefault(false)) - arrProps := pqarrow.DefaultWriterProps() - err = pqarrow.WriteTable(tbl, writer, 100, props, arrProps) - if err != nil { - return err - } - return nil - -} diff --git a/go/internal/feast/server/logging/filelogstorage_test.go b/go/internal/feast/server/logging/filelogstorage_test.go deleted file mode 100644 index 1da7dd38ad2..00000000000 --- a/go/internal/feast/server/logging/filelogstorage_test.go +++ /dev/null @@ -1,70 +0,0 @@ -package logging - -import ( - "context" - "path/filepath" - - "testing" - - "github.com/apache/arrow/go/v8/arrow/array" - "github.com/apache/arrow/go/v8/arrow/memory" - "github.com/apache/arrow/go/v8/parquet/file" - "github.com/apache/arrow/go/v8/parquet/pqarrow" - "github.com/feast-dev/feast/go/internal/test" - "github.com/stretchr/testify/assert" -) - -func TestFlushToStorage(t *testing.T) { - ctx := context.Background() - table, expectedSchema, expectedColumns, err := GetTestArrowTableAndExpectedResults() - defer table.Release() - assert.Nil(t, err) - offlineStoreConfig := OfflineLogStoreConfig{ - storeType: "file", - path: "./log.parquet", - } - fileStore, err := NewFileOfflineStore("test", &offlineStoreConfig) - assert.Nil(t, err) - err = fileStore.FlushToStorage(array.Table(table)) - assert.Nil(t, err) - logPath, err := filepath.Abs(offlineStoreConfig.path) - assert.Nil(t, err) - pf, err := file.OpenParquetFile(logPath, false) - assert.Nil(t, err) - - reader, err := pqarrow.NewFileReader(pf, pqarrow.ArrowReadProperties{}, memory.DefaultAllocator) - assert.Nil(t, err) - - tbl, err := reader.ReadTable(ctx) - assert.Nil(t, err) - tr := array.NewTableReader(tbl, -1) - defer tbl.Release() - - defer tr.Release() - for tr.Next() { - rec := tr.Record() - assert.NotNil(t, rec) - for _, field := range rec.Schema().Fields() { - assert.Contains(t, expectedSchema, field.Name) - assert.Equal(t, field.Type, expectedSchema[field.Name]) - } - values, err := test.GetProtoFromRecord(rec) - - assert.Nil(t, err) - for name, val := range values { - if name == "RequestId" { - // Ensure there are request ids in record. - assert.Greater(t, len(val.Val), 0) - } else { - assert.Equal(t, len(val.Val), len(expectedColumns[name].Val)) - for idx, featureVal := range val.Val { - assert.Equal(t, featureVal.Val, expectedColumns[name].Val[idx].Val) - } - } - } - } - - err = test.CleanUpFile(logPath) - assert.Nil(t, err) - -} diff --git a/go/internal/feast/server/logging/logger.go b/go/internal/feast/server/logging/logger.go new file mode 100644 index 00000000000..346bfdbf619 --- /dev/null +++ b/go/internal/feast/server/logging/logger.go @@ -0,0 +1,276 @@ +package logging + +import ( + "fmt" + "log" + "math/rand" + "sync" + "time" + + "github.com/apache/arrow/go/v8/arrow" + "github.com/pkg/errors" + "google.golang.org/protobuf/types/known/timestamppb" + + "github.com/feast-dev/feast/go/protos/feast/serving" + "github.com/feast-dev/feast/go/protos/feast/types" +) + +type Log struct { + // Example: val{int64_val: 5017}, val{int64_val: 1003} + EntityValue []*types.Value + RequestData []*types.Value + + FeatureValues []*types.Value + FeatureStatuses []serving.FieldStatus + EventTimestamps []*timestamppb.Timestamp + + RequestId string + LogTimestamp time.Time +} + +type LogSink interface { + // Write is used to unload logs from memory buffer. + // Logs are not guaranteed to be flushed to sink on this point. + // The data can just be written to local disk (depending on implementation). + Write(data arrow.Record) error + + // Flush actually send data to a sink. + // We want to control amount to interaction with sink, since it could be a costly operation. + // Also, some sinks like BigQuery might have quotes and physically limit amount of write requests per day. + Flush() error +} + +type Logger interface { + Log(joinKeyToEntityValues map[string][]*types.Value, featureVectors []*serving.GetOnlineFeaturesResponse_FeatureVector, featureNames []string, requestData map[string]*types.RepeatedValue, requestId string) error +} + +type LoggerImpl struct { + featureServiceName string + + buffer *MemoryBuffer + schema *FeatureServiceSchema + + logCh chan *Log + signalCh chan interface{} + + sink LogSink + config LoggerConfig + + isStopped bool + cond *sync.Cond +} + +type LoggerConfig struct { + LoggingOptions + + SampleRate float32 +} + +func NewLoggerConfig(sampleRate float32, opts LoggingOptions) LoggerConfig { + return LoggerConfig{ + LoggingOptions: opts, + SampleRate: sampleRate, + } +} + +func NewLogger(schema *FeatureServiceSchema, featureServiceName string, sink LogSink, config LoggerConfig) (*LoggerImpl, error) { + logger := &LoggerImpl{ + featureServiceName: featureServiceName, + + logCh: make(chan *Log, config.ChannelCapacity), + signalCh: make(chan interface{}, 2), + sink: sink, + + buffer: &MemoryBuffer{ + logs: make([]*Log, 0), + schema: schema, + }, + schema: schema, + config: config, + + isStopped: false, + cond: sync.NewCond(&sync.Mutex{}), + } + + logger.startLoggerLoop() + return logger, nil +} + +func (l *LoggerImpl) EmitLog(log *Log) error { + select { + case l.logCh <- log: + return nil + case <-time.After(l.config.EmitTimeout): + return fmt.Errorf("could not add to log channel with capacity %d. Operation timed out. Current log channel length is %d", cap(l.logCh), len(l.logCh)) + } +} + +func (l *LoggerImpl) startLoggerLoop() { + go func() { + for { + if err := l.loggerLoop(); err != nil { + log.Printf("LoggerImpl[%s] recovered from panic: %+v", l.featureServiceName, err) + + // Sleep for a couple of milliseconds to avoid CPU load from a potential infinite panic-recovery loop + time.Sleep(5 * time.Millisecond) + continue // try again + } + + // graceful stop + return + } + }() +} + +// Select that either ingests new logs that are added to the logging channel, one at a time to add +// to the in-memory buffer or flushes all of them synchronously to the OfflineStorage on a time interval. +func (l *LoggerImpl) loggerLoop() (lErr error) { + defer func() { + // Recover from panic in the logger loop, so that it doesn't bring down the entire feature server + if r := recover(); r != nil { + rErr, ok := r.(error) + if !ok { + rErr = fmt.Errorf("%v", r) + } + lErr = errors.WithStack(rErr) + } + }() + for { + shouldStop := false + + select { + case <-l.signalCh: + err := l.buffer.writeBatch(l.sink) + if err != nil { + log.Printf("Log write failed: %+v", err) + } + err = l.sink.Flush() + if err != nil { + log.Printf("Log flush failed: %+v", err) + } + shouldStop = true + case <-time.After(l.config.WriteInterval): + err := l.buffer.writeBatch(l.sink) + if err != nil { + log.Printf("Log write failed: %+v", err) + } + case <-time.After(l.config.FlushInterval): + err := l.sink.Flush() + if err != nil { + log.Printf("Log flush failed: %+v", err) + } + case logItem := <-l.logCh: + err := l.buffer.Append(logItem) + if err != nil { + log.Printf("Append log failed: %+v", err) + } + } + + if shouldStop { + break + } + } + + // Notify all waiters for graceful stop + l.cond.L.Lock() + l.isStopped = true + l.cond.Broadcast() + l.cond.L.Unlock() + return nil +} + +// Stop the loop goroutine gracefully +func (l *LoggerImpl) Stop() { + select { + case l.signalCh <- nil: + default: + } +} + +func (l *LoggerImpl) WaitUntilStopped() { + l.cond.L.Lock() + defer l.cond.L.Unlock() + for !l.isStopped { + l.cond.Wait() + } +} + +func getFullFeatureName(featureViewName string, featureName string) string { + return fmt.Sprintf("%s__%s", featureViewName, featureName) +} + +func (l *LoggerImpl) Log(joinKeyToEntityValues map[string][]*types.Value, featureVectors []*serving.GetOnlineFeaturesResponse_FeatureVector, featureNames []string, requestData map[string]*types.RepeatedValue, requestId string) error { + if len(featureVectors) == 0 { + return nil + } + + if rand.Float32() > l.config.SampleRate { + return nil + } + + numFeatures := len(l.schema.Features) + // Should be equivalent to how many entities there are(each feature row has (entity) number of features) + numRows := len(featureVectors[0].Values) + + featureNameToVectorIdx := make(map[string]int) + for idx, name := range featureNames { + featureNameToVectorIdx[name] = idx + } + + for rowIdx := 0; rowIdx < numRows; rowIdx++ { + featureValues := make([]*types.Value, numFeatures) + featureStatuses := make([]serving.FieldStatus, numFeatures) + eventTimestamps := make([]*timestamppb.Timestamp, numFeatures) + + for idx, featureName := range l.schema.Features { + featureIdx, ok := featureNameToVectorIdx[featureName] + if !ok { + return errors.Errorf("Missing feature %s in log data", featureName) + } + featureValues[idx] = featureVectors[featureIdx].Values[rowIdx] + featureStatuses[idx] = featureVectors[featureIdx].Statuses[rowIdx] + eventTimestamps[idx] = featureVectors[featureIdx].EventTimestamps[rowIdx] + } + + entityValues := make([]*types.Value, len(l.schema.JoinKeys)) + for idx, joinKey := range l.schema.JoinKeys { + rows, ok := joinKeyToEntityValues[joinKey] + if !ok { + return errors.Errorf("Missing join key %s in log data", joinKey) + } + entityValues[idx] = rows[rowIdx] + } + + requestDataValues := make([]*types.Value, len(l.schema.RequestData)) + for idx, requestParam := range l.schema.RequestData { + rows, ok := requestData[requestParam] + if !ok { + return errors.Errorf("Missing request parameter %s in log data", requestParam) + } + requestDataValues[idx] = rows.Val[rowIdx] + } + + newLog := Log{ + EntityValue: entityValues, + RequestData: requestDataValues, + + FeatureValues: featureValues, + FeatureStatuses: featureStatuses, + EventTimestamps: eventTimestamps, + + RequestId: requestId, + LogTimestamp: time.Now(), + } + err := l.EmitLog(&newLog) + if err != nil { + return err + } + } + return nil +} + +type DummyLoggerImpl struct{} + +func (l *DummyLoggerImpl) Log(joinKeyToEntityValues map[string][]*types.Value, featureVectors []*serving.GetOnlineFeaturesResponse_FeatureVector, featureNames []string, requestData map[string]*types.RepeatedValue, requestId string) error { + return nil +} diff --git a/go/internal/feast/server/logging/logger_test.go b/go/internal/feast/server/logging/logger_test.go new file mode 100644 index 00000000000..0c8e33ef6fe --- /dev/null +++ b/go/internal/feast/server/logging/logger_test.go @@ -0,0 +1,137 @@ +package logging + +import ( + "context" + "io/ioutil" + "path/filepath" + "testing" + "time" + + "github.com/apache/arrow/go/v8/arrow" + "github.com/apache/arrow/go/v8/arrow/array" + "github.com/apache/arrow/go/v8/arrow/memory" + "github.com/apache/arrow/go/v8/parquet/file" + "github.com/apache/arrow/go/v8/parquet/pqarrow" + "github.com/stretchr/testify/require" + + "github.com/feast-dev/feast/go/protos/feast/types" + + "github.com/stretchr/testify/assert" + "google.golang.org/protobuf/types/known/timestamppb" + + "github.com/feast-dev/feast/go/protos/feast/serving" +) + +type DummySink struct{} + +func (s *DummySink) Write(rec arrow.Record) error { + return nil +} + +func (s *DummySink) Flush() error { + return nil +} + +func TestLoggingChannelTimeout(t *testing.T) { + config := LoggerConfig{ + SampleRate: 1.0, + LoggingOptions: LoggingOptions{ + ChannelCapacity: 1, + EmitTimeout: DefaultOptions.EmitTimeout, + FlushInterval: DefaultOptions.FlushInterval, + WriteInterval: DefaultOptions.WriteInterval, + }, + } + logger, err := NewLogger(nil, "testFS", &DummySink{}, config) + + // stop log processing to check buffering channel + logger.Stop() + logger.WaitUntilStopped() + + assert.Nil(t, err) + assert.Empty(t, logger.buffer.logs) + ts := timestamppb.New(time.Now()) + newLog := Log{ + FeatureStatuses: []serving.FieldStatus{serving.FieldStatus_PRESENT}, + EventTimestamps: []*timestamppb.Timestamp{ts, ts}, + } + err = logger.EmitLog(&newLog) + assert.Nil(t, err) + + newLog2 := Log{ + FeatureStatuses: []serving.FieldStatus{serving.FieldStatus_PRESENT}, + EventTimestamps: []*timestamppb.Timestamp{ts, ts}, + } + err = logger.EmitLog(&newLog2) + // The channel times out and doesn't hang. + assert.NotNil(t, err) +} + +func TestLogAndFlushToFile(t *testing.T) { + sink, err := NewFileLogSink(t.TempDir()) + assert.Nil(t, err) + + schema := &FeatureServiceSchema{ + JoinKeys: []string{"driver_id"}, + Features: []string{"view__feature"}, + JoinKeysTypes: map[string]types.ValueType_Enum{"driver_id": types.ValueType_INT32}, + FeaturesTypes: map[string]types.ValueType_Enum{"view__feature": types.ValueType_DOUBLE}, + } + config := LoggerConfig{ + SampleRate: 1.0, + LoggingOptions: LoggingOptions{ + ChannelCapacity: DefaultOptions.ChannelCapacity, + EmitTimeout: DefaultOptions.EmitTimeout, + FlushInterval: DefaultOptions.FlushInterval, + WriteInterval: 10 * time.Millisecond, + }, + } + logger, err := NewLogger(schema, "testFS", sink, config) + assert.Nil(t, err) + + assert.Nil(t, logger.Log( + map[string][]*types.Value{"driver_id": {{Val: &types.Value_Int32Val{Int32Val: 111}}}}, + []*serving.GetOnlineFeaturesResponse_FeatureVector{ + { + Values: []*types.Value{{Val: &types.Value_DoubleVal{DoubleVal: 2.0}}}, + Statuses: []serving.FieldStatus{serving.FieldStatus_PRESENT}, + EventTimestamps: []*timestamppb.Timestamp{timestamppb.Now()}, + }, + }, + []string{"view__feature"}, + map[string]*types.RepeatedValue{}, + "req-id", + )) + + require.Eventually(t, func() bool { + files, _ := ioutil.ReadDir(sink.path) + return len(files) > 0 + }, 60*time.Second, 100*time.Millisecond) + + files, _ := ioutil.ReadDir(sink.path) + + pf, err := file.OpenParquetFile(filepath.Join(sink.path, files[0].Name()), false) + assert.Nil(t, err) + + reader, err := pqarrow.NewFileReader(pf, pqarrow.ArrowReadProperties{}, memory.DefaultAllocator) + assert.Nil(t, err) + + tbl, err := reader.ReadTable(context.Background()) + assert.Nil(t, err) + tr := array.NewTableReader(tbl, -1) + defer tbl.Release() + + fieldNameToIdx := make(map[string]int) + for idx, field := range tbl.Schema().Fields() { + fieldNameToIdx[field.Name] = idx + } + + tr.Next() + rec := tr.Record() + + assert.Equal(t, "req-id", rec.Column(fieldNameToIdx[LOG_REQUEST_ID_FIELD]).(*array.String).Value(0)) + assert.EqualValues(t, 111, rec.Column(fieldNameToIdx["driver_id"]).(*array.Int32).Value(0)) + assert.EqualValues(t, 2.0, rec.Column(fieldNameToIdx["view__feature"]).(*array.Float64).Value(0)) + assert.EqualValues(t, serving.FieldStatus_PRESENT, rec.Column(fieldNameToIdx["view__feature__status"]).(*array.Int32).Value(0)) + +} diff --git a/go/internal/feast/server/logging/logging.go b/go/internal/feast/server/logging/logging.go deleted file mode 100644 index 010644709ae..00000000000 --- a/go/internal/feast/server/logging/logging.go +++ /dev/null @@ -1,392 +0,0 @@ -package logging - -import ( - "errors" - "fmt" - "log" - "time" - - "github.com/apache/arrow/go/v8/arrow" - "github.com/apache/arrow/go/v8/arrow/array" - "github.com/apache/arrow/go/v8/arrow/memory" - "github.com/feast-dev/feast/go/internal/feast" - "github.com/feast-dev/feast/go/internal/feast/model" - "github.com/feast-dev/feast/go/protos/feast/serving" - "github.com/feast-dev/feast/go/protos/feast/types" - gotypes "github.com/feast-dev/feast/go/types" - "google.golang.org/protobuf/types/known/timestamppb" -) - -const DEFAULT_LOG_FLUSH_INTERVAL = 100 * time.Millisecond -const DEFAULT_LOG_INSERT_TIMEOUT = 20 * time.Millisecond - -type Log struct { - // Example: val{int64_val: 5017}, val{int64_val: 1003} - EntityValue []*types.Value - - FeatureValues []*types.Value - FeatureStatuses []serving.FieldStatus - EventTimestamps []*timestamppb.Timestamp - RequestContext map[string]*types.Value - RequestId string -} - -type MemoryBuffer struct { - featureService *model.FeatureService - logs []*Log -} - -type LoggingService struct { - memoryBuffer *MemoryBuffer - logChannel chan *Log - fs *feast.FeatureStore - offlineLogStorage OfflineLogStorage - logInsertTTl time.Duration - logFlushInterval time.Duration -} - -func NewLoggingService(fs *feast.FeatureStore, logChannelCapacity int, featureServiceName string, enableLogProcessing bool) (*LoggingService, error) { - var featureService *model.FeatureService = nil - var err error - if fs != nil { - featureService, err = fs.GetFeatureService(featureServiceName) - if err != nil { - return nil, err - } - - } - - loggingService := &LoggingService{ - logChannel: make(chan *Log, logChannelCapacity), - memoryBuffer: &MemoryBuffer{ - logs: make([]*Log, 0), - featureService: featureService, - }, - fs: fs, - logInsertTTl: DEFAULT_LOG_INSERT_TIMEOUT, - logFlushInterval: DEFAULT_LOG_FLUSH_INTERVAL, - } - - if fs != nil { - offlineLogStorage, err := NewOfflineStore(fs.GetRepoConfig()) - loggingService.offlineLogStorage = offlineLogStorage - if err != nil { - return nil, err - } - } - - // Start goroutine to process logs - if enableLogProcessing { - go loggingService.processLogs() - - } - return loggingService, nil -} - -func (s *LoggingService) EmitLog(l *Log) error { - select { - case s.logChannel <- l: - return nil - case <-time.After(s.logInsertTTl): - return fmt.Errorf("could not add to log channel with capacity %d. Operation timed out. Current log channel length is %d", cap(s.logChannel), len(s.logChannel)) - } -} - -func (s *LoggingService) processLogs() { - // start a periodic flush - // TODO(kevjumba): set param so users can configure flushing duration - ticker := time.NewTicker(s.logFlushInterval) - defer ticker.Stop() - - for { - s.PerformPeriodicAppendToMemoryBufferAndLogFlush(ticker) - } -} - -// Select that either ingests new logs that are added to the logging channel, one at a time to add -// to the in-memory buffer or flushes all of them synchronously to the OfflineStorage on a time interval. -func (s *LoggingService) PerformPeriodicAppendToMemoryBufferAndLogFlush(t *time.Ticker) { - select { - case t := <-t.C: - s.flushLogsToOfflineStorage(t) - case new_log := <-s.logChannel: - log.Printf("Adding %s to memory.\n", new_log.FeatureValues) - s.memoryBuffer.logs = append(s.memoryBuffer.logs, new_log) - } -} - -// Acquires the logging schema from the feature service, converts the memory buffer array of rows of logs and flushes -// them to the offline storage. -func (s *LoggingService) flushLogsToOfflineStorage(t time.Time) error { - offlineStoreType, ok := getOfflineStoreType(s.fs.GetRepoConfig().OfflineStore) - if !ok { - return fmt.Errorf("could not get offline storage type for config: %s", s.fs.GetRepoConfig().OfflineStore) - } - if offlineStoreType == "file" { - entityMap, featureViews, odfvs, err := s.GetFcos() - if err != nil { - return err - } - schema, err := GetSchemaFromFeatureService(s.memoryBuffer.featureService, entityMap, featureViews, odfvs) - if err != nil { - return err - } - table, err := ConvertMemoryBufferToArrowTable(s.memoryBuffer, schema) - if err != nil { - return err - } - s.offlineLogStorage.FlushToStorage(table) - if err != nil { - return err - } - s.memoryBuffer.logs = s.memoryBuffer.logs[:0] - } else { - // Currently don't support any other offline flushing. - return errors.New("currently only file type is supported for offline log storage") - } - return nil -} - -// Takes memory buffer of logs in array row and converts them to columnar with generated fcoschema generated by GetFcoSchema -// and writes them to arrow table. -// Returns arrow table that contains all of the logs in columnar format. -func ConvertMemoryBufferToArrowTable(memoryBuffer *MemoryBuffer, fcoSchema *Schema) (array.Table, error) { - arrowMemory := memory.NewGoAllocator() - - columnNameToProtoValueArray := make(map[string][]*types.Value) - columnNameToStatus := make(map[string][]int32) - columnNameToTimestamp := make(map[string][]int64) - entityNameToEntityValues := make(map[string][]*types.Value) - - strBuilder := array.NewStringBuilder(arrowMemory) - - for _, l := range memoryBuffer.logs { - // EntityTypes maps an entity name to the specific type and also which index in the entityValues array it is - // e.g if an Entity Key is {driver_id, customer_id}, then the driver_id entitytype would be dtype=int64, index=0. - // It's in the order of the entities as given by the schema. - for idx, joinKey := range fcoSchema.Entities { - if _, ok := entityNameToEntityValues[joinKey]; !ok { - entityNameToEntityValues[joinKey] = make([]*types.Value, 0) - } - entityNameToEntityValues[joinKey] = append(entityNameToEntityValues[joinKey], l.EntityValue[idx]) - } - - // Contains both fv and odfv feature value types => they are processed in order of how the appear in the featureService - for idx, featureName := range fcoSchema.Features { - // populate the proto value arrays with values from memory buffer in separate columns one for each feature name - if _, ok := columnNameToProtoValueArray[featureName]; !ok { - columnNameToProtoValueArray[featureName] = make([]*types.Value, 0) - columnNameToStatus[featureName] = make([]int32, 0) - columnNameToTimestamp[featureName] = make([]int64, 0) - } - columnNameToProtoValueArray[featureName] = append(columnNameToProtoValueArray[featureName], l.FeatureValues[idx]) - columnNameToStatus[featureName] = append(columnNameToStatus[featureName], int32(l.FeatureStatuses[idx])) - columnNameToTimestamp[featureName] = append(columnNameToTimestamp[featureName], l.EventTimestamps[idx].AsTime().UnixNano()/int64(time.Millisecond)) - } - strBuilder.Append(l.RequestId) - } - - fields := make([]arrow.Field, 0) - columns := make([]array.Interface, 0) - for _, entityName := range fcoSchema.Entities { - protoArr := entityNameToEntityValues[entityName] - if len(protoArr) == 0 { - break - } - valArrowArray, err := gotypes.ProtoValuesToArrowArray(protoArr, arrowMemory, len(columnNameToProtoValueArray)) - if err != nil { - return nil, err - } - arrowType, err := gotypes.ValueTypeEnumToArrowType(fcoSchema.EntityTypes[entityName]) - if err != nil { - return nil, err - } - fields = append(fields, arrow.Field{ - Name: entityName, - Type: arrowType, - }) - columns = append(columns, valArrowArray) - } - - for _, featureName := range fcoSchema.Features { - - protoArr := columnNameToProtoValueArray[featureName] - if len(protoArr) == 0 { - break - } - arrowArray, err := gotypes.ProtoValuesToArrowArray(protoArr, arrowMemory, len(columnNameToProtoValueArray)) - if err != nil { - return nil, err - } - - arrowType, err := gotypes.ValueTypeEnumToArrowType(fcoSchema.FeaturesTypes[featureName]) - - if err != nil { - return nil, err - } - fields = append(fields, arrow.Field{ - Name: featureName, - Type: arrowType, - }) - columns = append(columns, arrowArray) - } - fields = append(fields, arrow.Field{ - Name: "RequestId", - Type: &arrow.StringType{}, - }) - - columns = append(columns, strBuilder.NewArray()) - schema := arrow.NewSchema( - fields, - nil, - ) - - result := array.Record(array.NewRecord(schema, columns, int64(len(memoryBuffer.logs)))) - - tbl := array.NewTableFromRecords(schema, []array.Record{result}) - return array.Table(tbl), nil -} - -type Schema struct { - Entities []string - Features []string - EntityTypes map[string]types.ValueType_Enum - FeaturesTypes map[string]types.ValueType_Enum -} - -func GetSchemaFromFeatureService(featureService *model.FeatureService, entityMap map[string]*model.Entity, featureViews []*model.FeatureView, onDemandFeatureViews []*model.OnDemandFeatureView) (*Schema, error) { - fvs := make(map[string]*model.FeatureView) - odFvs := make(map[string]*model.OnDemandFeatureView) - - joinKeys := make([]string, 0) - // All joinkeys in the featureService are put in here - joinKeysSet := make(map[string]interface{}) - entityJoinKeyToType := make(map[string]types.ValueType_Enum) - var entities []string - for _, featureView := range featureViews { - fvs[featureView.Base.Name] = featureView - entities = featureView.Entities - } - - for _, onDemandFeatureView := range onDemandFeatureViews { - odFvs[onDemandFeatureView.Base.Name] = onDemandFeatureView - } - - allFeatureTypes := make(map[string]types.ValueType_Enum) - features := make([]string, 0) - for _, featureProjection := range featureService.Projections { - // Create copies of FeatureView that may contains the same *FeatureView but - // each differentiated by a *FeatureViewProjection - featureViewName := featureProjection.Name - if fv, ok := fvs[featureViewName]; ok { - for _, f := range featureProjection.Features { - features = append(features, GetFullFeatureName(featureViewName, f.Name)) - allFeatureTypes[GetFullFeatureName(featureViewName, f.Name)] = f.Dtype - } - for _, entityName := range fv.Entities { - entity := entityMap[entityName] - if joinKeyAlias, ok := featureProjection.JoinKeyMap[entity.JoinKey]; ok { - joinKeysSet[joinKeyAlias] = nil - } else { - joinKeysSet[entity.JoinKey] = nil - } - } - } else if _, ok := odFvs[featureViewName]; ok { - for _, f := range featureProjection.Features { - // TODO(kevjumba) check in test here. - features = append(features, GetFullFeatureName(featureViewName, f.Name)) - allFeatureTypes[GetFullFeatureName(featureViewName, f.Name)] = f.Dtype - } - } else { - return nil, fmt.Errorf("no such feature view found in feature service %s", featureViewName) - } - } - - // Only get entities in the current feature service. - for _, entity := range entities { - if _, ok := joinKeysSet[entity]; ok { - joinKeys = append(joinKeys, entityMap[entity].JoinKey) - entityJoinKeyToType[entityMap[entity].JoinKey] = entityMap[entity].ValueType - } - } - - schema := &Schema{ - Entities: joinKeys, - Features: features, - EntityTypes: entityJoinKeyToType, - FeaturesTypes: allFeatureTypes, - } - return schema, nil -} - -func GetFullFeatureName(featureViewName string, featureName string) string { - return fmt.Sprintf("%s__%s", featureViewName, featureName) -} - -func (s *LoggingService) GetFcos() (map[string]*model.Entity, []*model.FeatureView, []*model.OnDemandFeatureView, error) { - odfvs, err := s.fs.ListOnDemandFeatureViews() - if err != nil { - return nil, nil, nil, err - } - fvs, err := s.fs.ListFeatureViews() - if err != nil { - return nil, nil, nil, err - } - entities, err := s.fs.ListEntities(true) - if err != nil { - return nil, nil, nil, err - } - entityMap := make(map[string]*model.Entity) - for _, entity := range entities { - entityMap[entity.Name] = entity - } - return entityMap, fvs, odfvs, nil -} - -func (l *LoggingService) GenerateLogs(featureService *model.FeatureService, joinKeyToEntityValues map[string][]*types.Value, features []*serving.GetOnlineFeaturesResponse_FeatureVector, requestData map[string]*types.RepeatedValue, requestId string) error { - if len(features) <= 0 { - return nil - } - - entitySet, featureViews, odfvs, err := l.GetFcos() - if err != nil { - return err - } - schema, err := GetSchemaFromFeatureService(featureService, entitySet, featureViews, odfvs) - - if err != nil { - return err - } - - numFeatures := len(schema.Features) - // Should be equivalent to how many entities there are(each feature row has (entity) number of features) - numRows := len(features[0].Values) - - for row_idx := 0; row_idx < numRows; row_idx++ { - featureValueLogRow := make([]*types.Value, numFeatures) - featureStatusLogRow := make([]serving.FieldStatus, numFeatures) - eventTimestampLogRow := make([]*timestamppb.Timestamp, numFeatures) - for idx := 0; idx < len(features); idx++ { - featureValueLogRow[idx] = features[idx].Values[row_idx] - featureStatusLogRow[idx] = features[idx].Statuses[row_idx] - eventTimestampLogRow[idx] = features[idx].EventTimestamps[row_idx] - } - valuesPerEntityRow := make([]*types.Value, 0) - // ensure that the entity values are in the order that the schema defines which is the order that ListEntities returns the entities - for _, joinKey := range schema.Entities { - valuesPerEntityRow = append(valuesPerEntityRow, joinKeyToEntityValues[joinKey][row_idx]) - } - newLog := Log{ - EntityValue: valuesPerEntityRow, - FeatureValues: featureValueLogRow, - FeatureStatuses: featureStatusLogRow, - EventTimestamps: eventTimestampLogRow, - RequestId: requestId, - } - err := l.EmitLog(&newLog) - if err != nil { - return err - } - } - return nil -} diff --git a/go/internal/feast/server/logging/logging_test.go b/go/internal/feast/server/logging/logging_test.go deleted file mode 100644 index 68da0bf498f..00000000000 --- a/go/internal/feast/server/logging/logging_test.go +++ /dev/null @@ -1,402 +0,0 @@ -package logging - -import ( - "math/rand" - "reflect" - "testing" - "time" - - "github.com/apache/arrow/go/v8/arrow" - "github.com/apache/arrow/go/v8/arrow/array" - "github.com/feast-dev/feast/go/internal/feast/model" - "github.com/feast-dev/feast/go/internal/test" - "github.com/feast-dev/feast/go/protos/feast/serving" - "github.com/feast-dev/feast/go/protos/feast/types" - gotypes "github.com/feast-dev/feast/go/types" - "github.com/stretchr/testify/assert" - "google.golang.org/protobuf/types/known/timestamppb" -) - -func TestLoggingChannelTimeout(t *testing.T) { - // Pregenerated using `feast init`. - loggingService, err := NewLoggingService(nil, 1, "", false) - assert.Nil(t, err) - assert.Empty(t, loggingService.memoryBuffer.logs) - ts := timestamppb.New(time.Now()) - newLog := Log{ - FeatureStatuses: []serving.FieldStatus{serving.FieldStatus_PRESENT}, - EventTimestamps: []*timestamppb.Timestamp{ts, ts}, - } - loggingService.EmitLog(&newLog) - newTs := timestamppb.New(time.Now()) - - newLog2 := Log{ - FeatureStatuses: []serving.FieldStatus{serving.FieldStatus_PRESENT}, - EventTimestamps: []*timestamppb.Timestamp{newTs, newTs}, - } - err = loggingService.EmitLog(&newLog2) - // The channel times out and doesn't hang. - assert.NotNil(t, err) -} - -func TestSchemaTypeRetrieval(t *testing.T) { - featureService, entities, featureViews, odfvs := InitializeFeatureRepoVariablesForTest() - entityMap := make(map[string]*model.Entity) - expectedEntityNames := make([]string, 0) - expectedFeatureNames := make([]string, 0) - for _, entity := range entities { - entityMap[entity.Name] = entity - expectedEntityNames = append(expectedEntityNames, entity.Name) - } - for _, featureView := range featureViews { - for _, f := range featureView.Base.Features { - expectedFeatureNames = append(expectedFeatureNames, GetFullFeatureName(featureView.Base.Name, f.Name)) - } - } - for _, featureView := range odfvs { - for _, f := range featureView.Base.Features { - expectedFeatureNames = append(expectedFeatureNames, GetFullFeatureName(featureView.Base.Name, f.Name)) - } - } - - schema, err := GetSchemaFromFeatureService(featureService, entityMap, featureViews, odfvs) - assert.Nil(t, err) - - assert.Equal(t, expectedFeatureNames, schema.Features) - assert.Equal(t, expectedEntityNames, schema.Entities) - for _, entityName := range expectedEntityNames { - assert.Contains(t, schema.EntityTypes, entityName) - } - assert.True(t, reflect.DeepEqual(schema.EntityTypes["driver_id"], types.ValueType_INT64)) - - types := []types.ValueType_Enum{*types.ValueType_INT64.Enum(), *types.ValueType_FLOAT.Enum(), *types.ValueType_INT32.Enum(), *types.ValueType_DOUBLE.Enum(), *types.ValueType_INT32.Enum(), *types.ValueType_DOUBLE.Enum()} - for idx, featureName := range expectedFeatureNames { - assert.Contains(t, schema.FeaturesTypes, featureName) - assert.Equal(t, schema.FeaturesTypes[featureName], types[idx]) - } -} - -func TestSchemaRetrievalIgnoresEntitiesNotInFeatureService(t *testing.T) { - featureService, entities, featureViews, odfvs := InitializeFeatureRepoVariablesForTest() - //Remove entities in featureservice - for _, featureView := range featureViews { - featureView.Entities = []string{} - } - entityMap := make(map[string]*model.Entity) - for _, entity := range entities { - entityMap[entity.Name] = entity - } - schema, err := GetSchemaFromFeatureService(featureService, entityMap, featureViews, odfvs) - assert.Nil(t, err) - assert.Empty(t, schema.EntityTypes) -} - -func TestSchemaUsesOrderInFeatureService(t *testing.T) { - featureService, entities, featureViews, odfvs := InitializeFeatureRepoVariablesForTest() - expectedEntityNames := make([]string, 0) - expectedFeatureNames := make([]string, 0) - entityMap := make(map[string]*model.Entity) - for _, entity := range entities { - entityMap[entity.Name] = entity - } - for _, entity := range entities { - entityMap[entity.Name] = entity - expectedEntityNames = append(expectedEntityNames, entity.Name) - } - // Source of truth for order of featureNames - for _, featureView := range featureViews { - for _, f := range featureView.Base.Features { - expectedFeatureNames = append(expectedFeatureNames, GetFullFeatureName(featureView.Base.Name, f.Name)) - } - } - for _, featureView := range odfvs { - for _, f := range featureView.Base.Features { - expectedFeatureNames = append(expectedFeatureNames, GetFullFeatureName(featureView.Base.Name, f.Name)) - } - } - - rand.Seed(time.Now().UnixNano()) - // Shuffle the featureNames in incorrect order - for _, featureView := range featureViews { - rand.Shuffle(len(featureView.Base.Features), func(i, j int) { - featureView.Base.Features[i], featureView.Base.Features[j] = featureView.Base.Features[j], featureView.Base.Features[i] - }) - } - for _, featureView := range odfvs { - rand.Shuffle(len(featureView.Base.Features), func(i, j int) { - featureView.Base.Features[i], featureView.Base.Features[j] = featureView.Base.Features[j], featureView.Base.Features[i] - }) - } - - schema, err := GetSchemaFromFeatureService(featureService, entityMap, featureViews, odfvs) - assert.Nil(t, err) - - // Ensure the same results - assert.Equal(t, expectedFeatureNames, schema.Features) - assert.Equal(t, expectedEntityNames, schema.Entities) - for _, entityName := range expectedEntityNames { - assert.Contains(t, schema.EntityTypes, entityName) - } - assert.True(t, reflect.DeepEqual(schema.EntityTypes["driver_id"], types.ValueType_INT64)) - - types := []types.ValueType_Enum{*types.ValueType_INT64.Enum(), *types.ValueType_FLOAT.Enum(), *types.ValueType_INT32.Enum(), *types.ValueType_DOUBLE.Enum(), *types.ValueType_INT32.Enum(), *types.ValueType_DOUBLE.Enum()} - for idx, featureName := range expectedFeatureNames { - assert.Contains(t, schema.FeaturesTypes, featureName) - assert.Equal(t, schema.FeaturesTypes[featureName], types[idx]) - } -} - -func TestSerializeToArrowTable(t *testing.T) { - table, expectedSchema, expectedColumns, err := GetTestArrowTableAndExpectedResults() - assert.Nil(t, err) - defer table.Release() - tr := array.NewTableReader(table, -1) - - defer tr.Release() - for tr.Next() { - rec := tr.Record() - assert.NotNil(t, rec) - for _, field := range rec.Schema().Fields() { - assert.Contains(t, expectedSchema, field.Name) - assert.Equal(t, field.Type, expectedSchema[field.Name]) - } - values, err := test.GetProtoFromRecord(rec) - - assert.Nil(t, err) - for name, val := range values { - if name == "RequestId" { - continue - } - assert.Equal(t, len(val.Val), len(expectedColumns[name].Val)) - for idx, featureVal := range val.Val { - assert.Equal(t, featureVal.Val, expectedColumns[name].Val[idx].Val) - } - } - } -} - -// Initialize all dummy featureservice, entities and featureviews/on demand featureviews for testing. -func InitializeFeatureRepoVariablesForTest() (*model.FeatureService, []*model.Entity, []*model.FeatureView, []*model.OnDemandFeatureView) { - f1 := test.CreateNewFeature( - "int64", - types.ValueType_INT64, - ) - f2 := test.CreateNewFeature( - "float32", - types.ValueType_FLOAT, - ) - projection1 := test.CreateNewFeatureViewProjection( - "featureView1", - "", - []*model.Feature{f1, f2}, - map[string]string{}, - ) - baseFeatureView1 := test.CreateBaseFeatureView( - "featureView1", - []*model.Feature{f1, f2}, - projection1, - ) - featureView1 := test.CreateFeatureView(baseFeatureView1, nil, []string{"driver_id"}) - entity1 := test.CreateNewEntity("driver_id", types.ValueType_INT64, "driver_id") - f3 := test.CreateNewFeature( - "int32", - types.ValueType_INT32, - ) - f4 := test.CreateNewFeature( - "double", - types.ValueType_DOUBLE, - ) - projection2 := test.CreateNewFeatureViewProjection( - "featureView2", - "", - []*model.Feature{f3, f4}, - map[string]string{}, - ) - baseFeatureView2 := test.CreateBaseFeatureView( - "featureView2", - []*model.Feature{f3, f4}, - projection2, - ) - featureView2 := test.CreateFeatureView(baseFeatureView2, nil, []string{"driver_id"}) - - f5 := test.CreateNewFeature( - "odfv_f1", - types.ValueType_INT32, - ) - f6 := test.CreateNewFeature( - "odfv_f2", - types.ValueType_DOUBLE, - ) - projection3 := test.CreateNewFeatureViewProjection( - "od_bf1", - "", - []*model.Feature{f5, f6}, - map[string]string{}, - ) - od_bf1 := test.CreateBaseFeatureView( - "od_bf1", - []*model.Feature{f5, f6}, - projection3, - ) - odfv := model.NewOnDemandFeatureViewFromBase(od_bf1) - featureService := test.CreateNewFeatureService( - "test_service", - "test_project", - nil, - nil, - []*model.FeatureViewProjection{projection1, projection2, projection3}, - ) - return featureService, []*model.Entity{entity1}, []*model.FeatureView{featureView1, featureView2}, []*model.OnDemandFeatureView{odfv} -} - -// Create dummy FeatureService, Entities, and FeatureViews add them to the logger and convert the logs to Arrow table. -// Returns arrow table, expected test schema, and expected columns. -func GetTestArrowTableAndExpectedResults() (array.Table, map[string]arrow.DataType, map[string]*types.RepeatedValue, error) { - featureService, entities, featureViews, odfvs := InitializeFeatureRepoVariablesForTest() - entityMap := make(map[string]*model.Entity) - for _, entity := range entities { - entityMap[entity.Name] = entity - } - schema, err := GetSchemaFromFeatureService(featureService, entityMap, featureViews, odfvs) - if err != nil { - return nil, nil, nil, err - } - - ts := timestamppb.New(time.Now()) - log1 := Log{ - EntityValue: []*types.Value{ - {Val: &types.Value_Int64Val{Int64Val: 1001}}, - }, - FeatureValues: []*types.Value{ - /* normal feature values */ - {Val: &types.Value_Int64Val{Int64Val: rand.Int63()}}, - {Val: &types.Value_FloatVal{FloatVal: rand.Float32()}}, - {Val: &types.Value_Int32Val{Int32Val: rand.Int31()}}, - {Val: &types.Value_DoubleVal{DoubleVal: rand.Float64()}}, - /* odfv values */ - {Val: &types.Value_Int32Val{Int32Val: rand.Int31()}}, - {Val: &types.Value_DoubleVal{DoubleVal: rand.Float64()}}, - }, - FeatureStatuses: []serving.FieldStatus{ - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - }, - EventTimestamps: []*timestamppb.Timestamp{ - ts, ts, ts, ts, ts, ts, - }, - } - log2 := Log{ - EntityValue: []*types.Value{ - {Val: &types.Value_Int64Val{Int64Val: 1003}}, - }, - FeatureValues: []*types.Value{ - /* normal feature values */ - {Val: &types.Value_Int64Val{Int64Val: rand.Int63()}}, - {Val: &types.Value_FloatVal{FloatVal: rand.Float32()}}, - {Val: &types.Value_Int32Val{Int32Val: rand.Int31()}}, - {Val: &types.Value_DoubleVal{DoubleVal: rand.Float64()}}, - /* odfv values */ - {Val: &types.Value_Int32Val{Int32Val: rand.Int31()}}, - {Val: &types.Value_DoubleVal{DoubleVal: rand.Float64()}}, - }, - FeatureStatuses: []serving.FieldStatus{ - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - serving.FieldStatus_PRESENT, - }, - EventTimestamps: []*timestamppb.Timestamp{ - ts, ts, ts, ts, ts, ts, - }, - } - - expectedSchema := make(map[string]arrow.DataType) - for joinKey, entityType := range schema.EntityTypes { - arrowType, err := gotypes.ValueTypeEnumToArrowType(entityType) - if err != nil { - return nil, nil, nil, err - } - expectedSchema[joinKey] = arrowType - } - expectedSchema["RequestId"] = arrow.BinaryTypes.String - for featureName, featureType := range schema.FeaturesTypes { - arrowType, err := gotypes.ValueTypeEnumToArrowType(featureType) - if err != nil { - return nil, nil, nil, err - } - expectedSchema[featureName] = arrowType - } - - expectedColumns := map[string]*types.RepeatedValue{ - "driver_id": { - Val: []*types.Value{ - log1.EntityValue[0], - log2.EntityValue[0]}, - }, - "featureView1__int64": { - Val: []*types.Value{ - log1.FeatureValues[0], - log2.FeatureValues[0]}, - }, - "featureView1__float32": { - Val: []*types.Value{ - log1.FeatureValues[1], - log2.FeatureValues[1]}, - }, - "featureView2__int32": { - Val: []*types.Value{ - log1.FeatureValues[2], - log2.FeatureValues[2]}, - }, - "featureView2__double": { - Val: []*types.Value{ - log1.FeatureValues[3], - log2.FeatureValues[3]}, - }, - "od_bf1__odfv_f1": { - Val: []*types.Value{ - log1.FeatureValues[4], - log2.FeatureValues[4]}, - }, - "od_bf1__odfv_f2": { - Val: []*types.Value{ - log1.FeatureValues[5], - log2.FeatureValues[5]}, - }, - } - loggingService, err := SetupLoggingServiceWithLogs([]*Log{&log1, &log2}) - if err != nil { - return nil, nil, nil, err - } - - table, err := ConvertMemoryBufferToArrowTable(loggingService.memoryBuffer, schema) - - if err != nil { - return nil, nil, nil, err - } - return table, expectedSchema, expectedColumns, nil -} - -func SetupLoggingServiceWithLogs(logs []*Log) (*LoggingService, error) { - loggingService, err := NewLoggingService(nil, len(logs), "", false) - if err != nil { - return nil, err - } - dummyTicker := time.NewTicker(10 * time.Second) - // stop the ticker so that the logs are not flushed to offline storage - dummyTicker.Stop() - for _, log := range logs { - loggingService.EmitLog(log) - } - // manually handle flushing logs - for i := 0; i < len(logs); i++ { - loggingService.PerformPeriodicAppendToMemoryBufferAndLogFlush(dummyTicker) - } - return loggingService, nil -} diff --git a/go/internal/feast/server/logging/memorybuffer.go b/go/internal/feast/server/logging/memorybuffer.go new file mode 100644 index 00000000000..80a5e03228a --- /dev/null +++ b/go/internal/feast/server/logging/memorybuffer.go @@ -0,0 +1,162 @@ +package logging + +import ( + "fmt" + "time" + + "github.com/apache/arrow/go/v8/arrow" + "github.com/apache/arrow/go/v8/arrow/array" + "github.com/apache/arrow/go/v8/arrow/memory" + + "github.com/feast-dev/feast/go/protos/feast/types" + gotypes "github.com/feast-dev/feast/go/types" +) + +type MemoryBuffer struct { + logs []*Log + schema *FeatureServiceSchema +} + +const ( + LOG_TIMESTAMP_FIELD = "__log_timestamp" + LOG_DATE_FIELD = "__log_date" + LOG_REQUEST_ID_FIELD = "__request_id" +) + +// Acquires the logging schema from the feature service, converts the memory buffer array of rows of logs and flushes +// them to the offline storage. +func (b *MemoryBuffer) writeBatch(sink LogSink) error { + if len(b.logs) == 0 { + return nil + } + + record, err := b.convertToArrowRecord() + + if err != nil { + return err + } + err = sink.Write(record) + if err != nil { + return err + } + + b.logs = b.logs[:0] + return nil +} + +func (b *MemoryBuffer) Append(log *Log) error { + b.logs = append(b.logs, log) + return nil +} + +func (b *MemoryBuffer) getArrowSchema() (*arrow.Schema, error) { + fields := make([]arrow.Field, 0) + + for _, joinKey := range b.schema.JoinKeys { + arrowType, err := gotypes.ValueTypeEnumToArrowType(b.schema.JoinKeysTypes[joinKey]) + if err != nil { + return nil, err + } + + fields = append(fields, arrow.Field{Name: joinKey, Type: arrowType}) + } + + for _, requestParam := range b.schema.RequestData { + arrowType, err := gotypes.ValueTypeEnumToArrowType(b.schema.RequestDataTypes[requestParam]) + if err != nil { + return nil, err + } + + fields = append(fields, arrow.Field{Name: requestParam, Type: arrowType}) + } + + for _, featureName := range b.schema.Features { + arrowType, err := gotypes.ValueTypeEnumToArrowType(b.schema.FeaturesTypes[featureName]) + if err != nil { + return nil, err + } + + fields = append(fields, arrow.Field{Name: featureName, Type: arrowType}) + fields = append(fields, arrow.Field{ + Name: fmt.Sprintf("%s__timestamp", featureName), + Type: arrow.FixedWidthTypes.Timestamp_s}) + fields = append(fields, arrow.Field{ + Name: fmt.Sprintf("%s__status", featureName), + Type: arrow.PrimitiveTypes.Int32}) + } + + fields = append(fields, arrow.Field{Name: LOG_TIMESTAMP_FIELD, Type: arrow.FixedWidthTypes.Timestamp_us}) + fields = append(fields, arrow.Field{Name: LOG_DATE_FIELD, Type: arrow.FixedWidthTypes.Date32}) + fields = append(fields, arrow.Field{Name: LOG_REQUEST_ID_FIELD, Type: arrow.BinaryTypes.String}) + + return arrow.NewSchema(fields, nil), nil +} + +// convertToArrowRecord Takes memory buffer of logs in array row and converts them to columnar with generated fcoschema generated by GetFcoSchema +// and writes them to arrow table. +// Returns arrow table that contains all of the logs in columnar format. +func (b *MemoryBuffer) convertToArrowRecord() (arrow.Record, error) { + arrowMemory := memory.NewGoAllocator() + numRows := len(b.logs) + + arrowSchema, err := b.getArrowSchema() + if err != nil { + return nil, err + } + + columns := make(map[string][]*types.Value) + fieldNameToIdx := make(map[string]int) + for idx, field := range arrowSchema.Fields() { + fieldNameToIdx[field.Name] = idx + } + + builder := array.NewRecordBuilder(arrowMemory, arrowSchema) + defer builder.Release() + + builder.Reserve(numRows) + + for rowIdx, logRow := range b.logs { + for colIdx, joinKey := range b.schema.JoinKeys { + if _, ok := columns[joinKey]; !ok { + columns[joinKey] = make([]*types.Value, numRows) + } + columns[joinKey][rowIdx] = logRow.EntityValue[colIdx] + } + for colIdx, requestParam := range b.schema.RequestData { + if _, ok := columns[requestParam]; !ok { + columns[requestParam] = make([]*types.Value, numRows) + } + columns[requestParam][rowIdx] = logRow.RequestData[colIdx] + } + for colIdx, featureName := range b.schema.Features { + if _, ok := columns[featureName]; !ok { + columns[featureName] = make([]*types.Value, numRows) + } + columns[featureName][rowIdx] = logRow.FeatureValues[colIdx] + + timestamp := arrow.Timestamp(logRow.EventTimestamps[colIdx].GetSeconds()) + timestampFieldIdx := fieldNameToIdx[fmt.Sprintf("%s__timestamp", featureName)] + statusFieldIdx := fieldNameToIdx[fmt.Sprintf("%s__status", featureName)] + + builder.Field(timestampFieldIdx).(*array.TimestampBuilder).UnsafeAppend(timestamp) + builder.Field(statusFieldIdx).(*array.Int32Builder).UnsafeAppend(int32(logRow.FeatureStatuses[colIdx])) + } + + logTimestamp := arrow.Timestamp(logRow.LogTimestamp.UnixMicro()) + logDate := arrow.Date32(logRow.LogTimestamp.Truncate(24 * time.Hour).Unix()) + + builder.Field(fieldNameToIdx[LOG_TIMESTAMP_FIELD]).(*array.TimestampBuilder).UnsafeAppend(logTimestamp) + builder.Field(fieldNameToIdx[LOG_DATE_FIELD]).(*array.Date32Builder).UnsafeAppend(logDate) + builder.Field(fieldNameToIdx[LOG_REQUEST_ID_FIELD]).(*array.StringBuilder).Append(logRow.RequestId) + } + + for columnName, protoArray := range columns { + fieldIdx := fieldNameToIdx[columnName] + err := gotypes.CopyProtoValuesToArrowArray(builder.Field(fieldIdx), protoArray) + if err != nil { + return nil, err + } + } + + return builder.NewRecord(), nil +} diff --git a/go/internal/feast/server/logging/memorybuffer_test.go b/go/internal/feast/server/logging/memorybuffer_test.go new file mode 100644 index 00000000000..f652f2c99a6 --- /dev/null +++ b/go/internal/feast/server/logging/memorybuffer_test.go @@ -0,0 +1,174 @@ +package logging + +import ( + "math/rand" + "testing" + "time" + + "github.com/apache/arrow/go/v8/arrow" + "github.com/apache/arrow/go/v8/arrow/array" + "github.com/apache/arrow/go/v8/arrow/memory" + "github.com/stretchr/testify/assert" + "google.golang.org/protobuf/types/known/timestamppb" + + "github.com/feast-dev/feast/go/protos/feast/serving" + "github.com/feast-dev/feast/go/protos/feast/types" +) + +func TestArrowSchemaGeneration(t *testing.T) { + schema := &FeatureServiceSchema{ + JoinKeys: []string{ + "driver_id", + }, + Features: []string{ + "featureView1__int64", + "featureView1__float32", + "featureView2__int32", + "featureView2__double", + }, + JoinKeysTypes: map[string]types.ValueType_Enum{ + "driver_id": types.ValueType_INT32, + }, + FeaturesTypes: map[string]types.ValueType_Enum{ + "featureView1__int64": types.ValueType_INT64, + "featureView1__float32": types.ValueType_FLOAT, + "featureView2__int32": types.ValueType_INT32, + "featureView2__double": types.ValueType_DOUBLE, + }, + } + + b := &MemoryBuffer{ + schema: schema, + } + + expectedArrowSchema := []arrow.Field{ + {Name: "driver_id", Type: arrow.PrimitiveTypes.Int32}, + {Name: "featureView1__int64", Type: arrow.PrimitiveTypes.Int64}, + {Name: "featureView1__int64__timestamp", Type: arrow.FixedWidthTypes.Timestamp_s}, + {Name: "featureView1__int64__status", Type: arrow.PrimitiveTypes.Int32}, + {Name: "featureView1__float32", Type: arrow.PrimitiveTypes.Float32}, + {Name: "featureView1__float32__timestamp", Type: arrow.FixedWidthTypes.Timestamp_s}, + {Name: "featureView1__float32__status", Type: arrow.PrimitiveTypes.Int32}, + {Name: "featureView2__int32", Type: arrow.PrimitiveTypes.Int32}, + {Name: "featureView2__int32__timestamp", Type: arrow.FixedWidthTypes.Timestamp_s}, + {Name: "featureView2__int32__status", Type: arrow.PrimitiveTypes.Int32}, + {Name: "featureView2__double", Type: arrow.PrimitiveTypes.Float64}, + {Name: "featureView2__double__timestamp", Type: arrow.FixedWidthTypes.Timestamp_s}, + {Name: "featureView2__double__status", Type: arrow.PrimitiveTypes.Int32}, + {Name: "__log_timestamp", Type: arrow.FixedWidthTypes.Timestamp_us}, + {Name: "__log_date", Type: arrow.FixedWidthTypes.Date32}, + {Name: "__request_id", Type: arrow.BinaryTypes.String}, + } + + actualSchema, err := b.getArrowSchema() + assert.Nil(t, err) + assert.Equal(t, expectedArrowSchema, actualSchema.Fields()) +} + +func TestSerializeToArrowTable(t *testing.T) { + schema := &FeatureServiceSchema{ + JoinKeys: []string{ + "driver_id", + }, + Features: []string{ + "featureView1__int64", + "featureView1__float32", + }, + JoinKeysTypes: map[string]types.ValueType_Enum{ + "driver_id": types.ValueType_INT32, + }, + FeaturesTypes: map[string]types.ValueType_Enum{ + "featureView1__int64": types.ValueType_INT64, + "featureView1__float32": types.ValueType_FLOAT, + }, + } + + ts := timestamppb.New(time.Now()) + b := &MemoryBuffer{ + schema: schema, + logs: []*Log{ + { + EntityValue: []*types.Value{ + {Val: &types.Value_Int64Val{Int64Val: 1001}}, + }, + FeatureValues: []*types.Value{ + {Val: &types.Value_Int64Val{Int64Val: rand.Int63()}}, + {Val: &types.Value_FloatVal{FloatVal: rand.Float32()}}, + }, + FeatureStatuses: []serving.FieldStatus{ + serving.FieldStatus_PRESENT, + serving.FieldStatus_OUTSIDE_MAX_AGE, + }, + EventTimestamps: []*timestamppb.Timestamp{ + ts, ts, + }, + RequestId: "aaa", + LogTimestamp: time.Now(), + }, + { + EntityValue: []*types.Value{ + {Val: &types.Value_Int64Val{Int64Val: 1003}}, + }, + FeatureValues: []*types.Value{ + {Val: &types.Value_Int64Val{Int64Val: rand.Int63()}}, + {Val: &types.Value_FloatVal{FloatVal: rand.Float32()}}, + }, + FeatureStatuses: []serving.FieldStatus{ + serving.FieldStatus_PRESENT, + serving.FieldStatus_PRESENT, + }, + EventTimestamps: []*timestamppb.Timestamp{ + ts, ts, + }, + RequestId: "bbb", + LogTimestamp: time.Now(), + }, + }, + } + + pool := memory.NewGoAllocator() + arrowSchema, _ := b.getArrowSchema() + builder := array.NewRecordBuilder(pool, arrowSchema) + defer builder.Release() + + // join key: driver_id + builder.Field(0).(*array.Int32Builder).AppendValues( + []int32{b.logs[0].EntityValue[0].GetInt32Val(), b.logs[1].EntityValue[0].GetInt32Val()}, []bool{true, true}) + + // feature int64 + builder.Field(1).(*array.Int64Builder).AppendValues( + []int64{b.logs[0].FeatureValues[0].GetInt64Val(), b.logs[1].FeatureValues[0].GetInt64Val()}, []bool{true, true}) + builder.Field(2).(*array.TimestampBuilder).AppendValues( + []arrow.Timestamp{arrow.Timestamp(ts.GetSeconds()), arrow.Timestamp(ts.GetSeconds())}, []bool{true, true}) + builder.Field(3).(*array.Int32Builder).AppendValues( + []int32{int32(serving.FieldStatus_PRESENT), int32(serving.FieldStatus_PRESENT)}, []bool{true, true}) + + // feature float + builder.Field(4).(*array.Float32Builder).AppendValues( + []float32{b.logs[0].FeatureValues[1].GetFloatVal(), b.logs[1].FeatureValues[1].GetFloatVal()}, []bool{true, true}) + builder.Field(5).(*array.TimestampBuilder).AppendValues( + []arrow.Timestamp{arrow.Timestamp(ts.GetSeconds()), arrow.Timestamp(ts.GetSeconds())}, []bool{true, true}) + builder.Field(6).(*array.Int32Builder).AppendValues( + []int32{int32(serving.FieldStatus_OUTSIDE_MAX_AGE), int32(serving.FieldStatus_PRESENT)}, []bool{true, true}) + + // log timestamp + builder.Field(7).(*array.TimestampBuilder).AppendValues( + []arrow.Timestamp{arrow.Timestamp(b.logs[0].LogTimestamp.UnixMicro()), arrow.Timestamp(b.logs[1].LogTimestamp.UnixMicro())}, []bool{true, true}) + + // log date + today := time.Now().Truncate(24 * time.Hour) + builder.Field(8).(*array.Date32Builder).AppendValues( + []arrow.Date32{arrow.Date32(today.Unix()), arrow.Date32(today.Unix())}, []bool{true, true}) + + // request id + builder.Field(9).(*array.StringBuilder).AppendValues( + []string{b.logs[0].RequestId, b.logs[1].RequestId}, []bool{true, true}) + + record, err := b.convertToArrowRecord() + expectedRecord := builder.NewRecord() + assert.Nil(t, err) + for colIdx := 0; colIdx < int(record.NumCols()); colIdx++ { + assert.Equal(t, expectedRecord.Column(colIdx), record.Column(colIdx), "Columns with idx %d are not equal", colIdx) + } + +} diff --git a/go/internal/feast/server/logging/offlinelogstorage.go b/go/internal/feast/server/logging/offlinelogstorage.go deleted file mode 100644 index 1a0f4142554..00000000000 --- a/go/internal/feast/server/logging/offlinelogstorage.go +++ /dev/null @@ -1,46 +0,0 @@ -package logging - -import ( - "errors" - - "github.com/apache/arrow/go/v8/arrow/array" - "github.com/feast-dev/feast/go/internal/feast/registry" -) - -type OfflineLogStoreConfig struct { - storeType string - project string - path string -} - -type OfflineLogStorage interface { - // Todo: Maybe we can add a must implement function that retrieves the correct config based on type - FlushToStorage(array.Table) error -} - -func getOfflineStoreType(offlineStoreConfig map[string]interface{}) (string, bool) { - if onlineStoreType, ok := offlineStoreConfig["storeType"]; !ok { - // Assume file for case of no specified. - return "", true - } else { - result, ok := onlineStoreType.(string) - return result, ok - } -} - -func NewOfflineStore(config *registry.RepoConfig) (OfflineLogStorage, error) { - offlineStoreType, _ := getOfflineStoreType(config.OfflineStore) - if offlineStoreType == "" { - // No offline store specified. - return nil, nil - } else if offlineStoreType == "file" { - fileConfig, err := GetFileConfig(config) - if err != nil { - return nil, err - } - offlineStore, err := NewFileOfflineStore(config.Project, fileConfig) - return offlineStore, err - } else { - return nil, errors.New("no offline storage besides file is currently supported") - } -} diff --git a/go/internal/feast/server/logging/service.go b/go/internal/feast/server/logging/service.go new file mode 100644 index 00000000000..a06698638ae --- /dev/null +++ b/go/internal/feast/server/logging/service.go @@ -0,0 +1,100 @@ +package logging + +import ( + "sync" + "time" + + "github.com/pkg/errors" + + "github.com/feast-dev/feast/go/internal/feast/model" +) + +type FeatureStore interface { + GetFcosMap() (map[string]*model.Entity, map[string]*model.FeatureView, map[string]*model.OnDemandFeatureView, error) + GetFeatureService(name string) (*model.FeatureService, error) +} + +type LoggingOptions struct { + // How many log items can be buffered in channel + ChannelCapacity int + + // Waiting time when inserting new log into the channel + EmitTimeout time.Duration + + // Interval on which logs buffered in memory will be written to sink + WriteInterval time.Duration + + // Interval on which sink will be flushed + // (see LogSink interface for better explanation on differences with Write) + FlushInterval time.Duration +} + +type LoggingService struct { + // feature service name -> LoggerImpl + loggers map[string]*LoggerImpl + + fs FeatureStore + sink LogSink + opts LoggingOptions + + creationLock *sync.Mutex +} + +var ( + DefaultOptions = LoggingOptions{ + ChannelCapacity: 1000, + FlushInterval: 10 * time.Minute, + WriteInterval: 10 * time.Second, + EmitTimeout: 10 * time.Millisecond, + } +) + +func NewLoggingService(fs FeatureStore, sink LogSink, opts ...LoggingOptions) (*LoggingService, error) { + if len(opts) == 0 { + opts = append(opts, DefaultOptions) + } + + return &LoggingService{ + fs: fs, + loggers: make(map[string]*LoggerImpl), + sink: sink, + opts: opts[0], + creationLock: &sync.Mutex{}, + }, nil +} + +func (s *LoggingService) GetOrCreateLogger(featureService *model.FeatureService) (Logger, error) { + if logger, ok := s.loggers[featureService.Name]; ok { + return logger, nil + } + + if featureService.LoggingConfig == nil { + return nil, errors.New("Only feature services with configured logging can be used") + } + + s.creationLock.Lock() + defer s.creationLock.Unlock() + + // could be created by another go-routine on this point + if logger, ok := s.loggers[featureService.Name]; ok { + return logger, nil + } + + if s.sink == nil { + return &DummyLoggerImpl{}, nil + } + + config := NewLoggerConfig(featureService.LoggingConfig.SampleRate, s.opts) + schema, err := GenerateSchemaFromFeatureService(s.fs, featureService.Name) + if err != nil { + return nil, err + } + + logger, err := NewLogger(schema, featureService.Name, s.sink, config) + if err != nil { + return nil, err + } + s.loggers[featureService.Name] = logger + + return logger, nil +} diff --git a/go/internal/feast/transformation/transformation.go b/go/internal/feast/transformation/transformation.go index 319bed3b2c2..3dfbdc7f1b7 100644 --- a/go/internal/feast/transformation/transformation.go +++ b/go/internal/feast/transformation/transformation.go @@ -3,18 +3,20 @@ package transformation import ( "errors" "fmt" + "strings" + "unsafe" + "github.com/apache/arrow/go/v8/arrow" "github.com/apache/arrow/go/v8/arrow/array" "github.com/apache/arrow/go/v8/arrow/cdata" "github.com/apache/arrow/go/v8/arrow/memory" + "google.golang.org/protobuf/types/known/timestamppb" + "github.com/feast-dev/feast/go/internal/feast/model" "github.com/feast-dev/feast/go/internal/feast/onlineserving" "github.com/feast-dev/feast/go/protos/feast/serving" prototypes "github.com/feast-dev/feast/go/protos/feast/types" "github.com/feast-dev/feast/go/types" - "google.golang.org/protobuf/types/known/timestamppb" - "strings" - "unsafe" ) /* diff --git a/go/internal/feast/server/logging/feature_repo/__init__.py b/go/internal/test/feature_repo/__init__.py similarity index 100% rename from go/internal/feast/server/logging/feature_repo/__init__.py rename to go/internal/test/feature_repo/__init__.py diff --git a/go/internal/feast/server/logging/feature_repo/driver_stats.parquet b/go/internal/test/feature_repo/driver_stats.parquet similarity index 100% rename from go/internal/feast/server/logging/feature_repo/driver_stats.parquet rename to go/internal/test/feature_repo/driver_stats.parquet diff --git a/go/internal/feast/server/logging/feature_repo/example.py b/go/internal/test/feature_repo/example.py similarity index 85% rename from go/internal/feast/server/logging/feature_repo/example.py rename to go/internal/test/feature_repo/example.py index f78470efd55..2b1d74ad32e 100644 --- a/go/internal/feast/server/logging/feature_repo/example.py +++ b/go/internal/test/feature_repo/example.py @@ -3,6 +3,8 @@ from google.protobuf.duration_pb2 import Duration from feast import Entity, Feature, FeatureView, FileSource, ValueType, FeatureService +from feast.feature_logging import LoggingConfig +from feast.infra.offline_stores.file_source import FileLoggingDestination # Read data from parquet files. Parquet is convenient for local development mode. For # production, you can use your favorite DWH, such as BigQuery. See Feast documentation @@ -36,5 +38,6 @@ driver_stats_fs = FeatureService( name="test_service", - features=[driver_hourly_stats_view] + features=[driver_hourly_stats_view], + logging_config=LoggingConfig(destination=FileLoggingDestination(path="")) ) \ No newline at end of file diff --git a/go/internal/feast/server/logging/feature_repo/feature_store.yaml b/go/internal/test/feature_repo/feature_store.yaml similarity index 100% rename from go/internal/feast/server/logging/feature_repo/feature_store.yaml rename to go/internal/test/feature_repo/feature_store.yaml diff --git a/go/internal/test/go_integration_test_utils.go b/go/internal/test/go_integration_test_utils.go index d66a5461930..6d236a43190 100644 --- a/go/internal/test/go_integration_test_utils.go +++ b/go/internal/test/go_integration_test_utils.go @@ -19,6 +19,7 @@ import ( "time" "github.com/apache/arrow/go/v8/arrow/array" + "github.com/feast-dev/feast/go/internal/feast/model" "github.com/feast-dev/feast/go/protos/feast/types" gotypes "github.com/feast-dev/feast/go/types" @@ -137,10 +138,10 @@ func SetupInitializedRepo(basePath string) error { // var stderr bytes.Buffer // var stdout bytes.Buffer applyCommand.Dir = featureRepoPath - err = applyCommand.Run() + out, err := applyCommand.Output() if err != nil { + log.Println(string(out)) return err - } t := time.Now() @@ -151,7 +152,7 @@ func SetupInitializedRepo(basePath string) error { materializeCommand := exec.Command("feast", "materialize-incremental", formattedTime) materializeCommand.Env = os.Environ() materializeCommand.Dir = featureRepoPath - out, err := materializeCommand.Output() + out, err = materializeCommand.Output() if err != nil { log.Println(string(out)) return err @@ -175,22 +176,14 @@ func CleanUpInitializedRepo(basePath string) { } } -func CleanUpRepo(basePath string) { - featureRepoPath, err := filepath.Abs(filepath.Join(basePath, "feature_repo")) - if err != nil { - log.Fatal(err) - } - err = os.RemoveAll(featureRepoPath) - if err != nil { - log.Fatal(err) - } -} - -func GetProtoFromRecord(rec array.Record) (map[string]*types.RepeatedValue, error) { +func GetProtoFromRecord(rec arrow.Record) (map[string]*types.RepeatedValue, error) { r := make(map[string]*types.RepeatedValue) schema := rec.Schema() for idx, column := range rec.Columns() { field := schema.Field(idx) + if field.Type.ID() == arrow.FixedWidthTypes.Timestamp_ms.ID() || field.Type.ID() == arrow.FixedWidthTypes.Date32.ID() { + continue + } values, err := gotypes.ArrowValuesToProtoValues(column) if err != nil { return nil, err @@ -200,10 +193,6 @@ func GetProtoFromRecord(rec array.Record) (map[string]*types.RepeatedValue, erro return r, nil } -func CleanUpFile(absPath string) error { - return os.Remove(absPath) -} - func CreateBaseFeatureView(name string, features []*model.Feature, projection *model.FeatureViewProjection) *model.BaseFeatureView { return &model.BaseFeatureView{ Name: name, diff --git a/go/types/typeconversion.go b/go/types/typeconversion.go index 416eb2ac273..30fcc1e393c 100644 --- a/go/types/typeconversion.go +++ b/go/types/typeconversion.go @@ -6,6 +6,7 @@ import ( "github.com/apache/arrow/go/v8/arrow" "github.com/apache/arrow/go/v8/arrow/array" "github.com/apache/arrow/go/v8/arrow/memory" + "github.com/feast-dev/feast/go/protos/feast/types" ) @@ -89,7 +90,7 @@ func ValueTypeEnumToArrowType(t types.ValueType_Enum) (arrow.DataType, error) { } } -func copyProtoValuesToArrowArray(builder array.Builder, values []*types.Value) error { +func CopyProtoValuesToArrowArray(builder array.Builder, values []*types.Value) error { switch fieldBuilder := builder.(type) { case *array.BooleanBuilder: for _, v := range values { @@ -307,7 +308,7 @@ func ProtoValuesToArrowArray(protoValues []*types.Value, arrowAllocator memory.A if fieldType != nil { builder := array.NewBuilder(arrowAllocator, fieldType) - err = copyProtoValuesToArrowArray(builder, protoValues) + err = CopyProtoValuesToArrowArray(builder, protoValues) if err != nil { return nil, err } diff --git a/go/types/typeconversion_test.go b/go/types/typeconversion_test.go index 05fc32f63ac..1f89593ea01 100644 --- a/go/types/typeconversion_test.go +++ b/go/types/typeconversion_test.go @@ -1,12 +1,14 @@ package types import ( + "testing" + "time" + "github.com/apache/arrow/go/v8/arrow/memory" - "github.com/feast-dev/feast/go/protos/feast/types" "github.com/golang/protobuf/proto" "github.com/stretchr/testify/assert" - "testing" - "time" + + "github.com/feast-dev/feast/go/protos/feast/types" ) var ( diff --git a/sdk/python/feast/feature_logging.py b/sdk/python/feast/feature_logging.py index e35dbdd9c7a..acc965ac444 100644 --- a/sdk/python/feast/feature_logging.py +++ b/sdk/python/feast/feature_logging.py @@ -143,9 +143,11 @@ def to_data_source(self) -> DataSource: class LoggingConfig: destination: LoggingDestination + sample_rate: float - def __init__(self, destination: LoggingDestination): + def __init__(self, destination: LoggingDestination, sample_rate: float = 1.0): self.destination = destination + self.sample_rate = sample_rate @classmethod def from_proto(cls, config_proto: LoggingConfigProto) -> Optional["LoggingConfig"]: @@ -157,8 +159,12 @@ def from_proto(cls, config_proto: LoggingConfigProto) -> Optional["LoggingConfig proto_kind = config_proto.custom_destination.kind destination_class = _DestinationRegistry.classes_by_proto_attr_name[proto_kind] - return LoggingConfig(destination=destination_class.from_proto(config_proto)) + return LoggingConfig( + destination=destination_class.from_proto(config_proto), + sample_rate=config_proto.sample_rate, + ) def to_proto(self) -> LoggingConfigProto: proto = self.destination.to_proto() + proto.sample_rate = self.sample_rate return proto From 25613b414470e8559b9d7b1f9bb74e269fea08c8 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Wed, 27 Apr 2022 13:48:44 -0700 Subject: [PATCH 39/87] fix: Remove ci extra from the feature transformation server dockerfile (#2618) * fix: Remove ci extra from the feature transformation server dockerfile and pin numpy for py3.7 support Signed-off-by: Achal Shah * remove debug Signed-off-by: Achal Shah * pin requirements Signed-off-by: Achal Shah --- .../infra/transformation_servers/Dockerfile | 2 +- .../requirements/py3.10-ci-requirements.txt | 10 +++++++++- sdk/python/requirements/py3.10-requirements.txt | 3 ++- .../requirements/py3.7-ci-requirements.txt | 8 ++++++++ sdk/python/requirements/py3.7-requirements.txt | 1 + .../requirements/py3.8-ci-requirements.txt | 10 +++++++++- sdk/python/requirements/py3.8-requirements.txt | 3 ++- .../requirements/py3.9-ci-requirements.txt | 16 ++++++++++++---- sdk/python/requirements/py3.9-requirements.txt | 3 ++- sdk/python/setup.py | 1 + 10 files changed, 47 insertions(+), 10 deletions(-) diff --git a/sdk/python/feast/infra/transformation_servers/Dockerfile b/sdk/python/feast/infra/transformation_servers/Dockerfile index 653e34cdf54..79997ce01b0 100644 --- a/sdk/python/feast/infra/transformation_servers/Dockerfile +++ b/sdk/python/feast/infra/transformation_servers/Dockerfile @@ -9,7 +9,7 @@ COPY protos protos COPY README.md README.md # Install dependencies -RUN pip3 install -e 'sdk/python[ci]' +RUN pip3 install -e 'sdk/python' # Start feature transformation server CMD [ "python", "app.py" ] diff --git a/sdk/python/requirements/py3.10-ci-requirements.txt b/sdk/python/requirements/py3.10-ci-requirements.txt index 597ef0397f3..2e0b9a8ef51 100644 --- a/sdk/python/requirements/py3.10-ci-requirements.txt +++ b/sdk/python/requirements/py3.10-ci-requirements.txt @@ -255,6 +255,8 @@ grpcio-tools==1.44.0 # via feast (setup.py) h11==0.13.0 # via uvicorn +happybase==1.2.0 + # via feast (setup.py) hiredis==2.0.0 # via feast (setup.py) httplib2==0.20.4 @@ -356,9 +358,10 @@ nbformat==5.3.0 # via great-expectations nodeenv==1.6.0 # via pre-commit -numpy==1.22.3 +numpy==1.21.6 # via # altair + # feast (setup.py) # great-expectations # pandas # pandavro @@ -407,6 +410,8 @@ platformdirs==2.5.2 # via virtualenv pluggy==1.0.0 # via pytest +ply==3.11 + # via thriftpy2 portalocker==2.4.0 # via msal-extensions pre-commit==2.18.1 @@ -596,6 +601,7 @@ six==1.16.0 # google-cloud-core # google-resumable-media # grpcio + # happybase # mock # msrestazure # pandavro @@ -640,6 +646,8 @@ termcolor==1.1.0 # via great-expectations testcontainers==3.5.3 # via feast (setup.py) +thriftpy2==0.4.14 + # via happybase toml==0.10.2 # via # black diff --git a/sdk/python/requirements/py3.10-requirements.txt b/sdk/python/requirements/py3.10-requirements.txt index 44589f680ac..02d385c37fd 100644 --- a/sdk/python/requirements/py3.10-requirements.txt +++ b/sdk/python/requirements/py3.10-requirements.txt @@ -73,8 +73,9 @@ markupsafe==2.1.1 # via jinja2 mmh3==3.0.0 # via feast (setup.py) -numpy==1.22.3 +numpy==1.21.6 # via + # feast (setup.py) # pandas # pandavro # pyarrow diff --git a/sdk/python/requirements/py3.7-ci-requirements.txt b/sdk/python/requirements/py3.7-ci-requirements.txt index 2fe543c9012..c98217e5bab 100644 --- a/sdk/python/requirements/py3.7-ci-requirements.txt +++ b/sdk/python/requirements/py3.7-ci-requirements.txt @@ -257,6 +257,8 @@ grpcio-tools==1.44.0 # via feast (setup.py) h11==0.13.0 # via uvicorn +happybase==1.2.0 + # via feast (setup.py) hiredis==2.0.0 # via feast (setup.py) httplib2==0.20.4 @@ -374,6 +376,7 @@ nodeenv==1.6.0 numpy==1.21.6 # via # altair + # feast (setup.py) # great-expectations # pandas # pandavro @@ -422,6 +425,8 @@ platformdirs==2.5.2 # via virtualenv pluggy==1.0.0 # via pytest +ply==3.11 + # via thriftpy2 portalocker==2.4.0 # via msal-extensions pre-commit==2.18.1 @@ -611,6 +616,7 @@ six==1.16.0 # google-cloud-core # google-resumable-media # grpcio + # happybase # mock # msrestazure # pandavro @@ -653,6 +659,8 @@ termcolor==1.1.0 # via great-expectations testcontainers==3.5.3 # via feast (setup.py) +thriftpy2==0.4.14 + # via happybase toml==0.10.2 # via # black diff --git a/sdk/python/requirements/py3.7-requirements.txt b/sdk/python/requirements/py3.7-requirements.txt index 693486bcbf8..8ce9444872f 100644 --- a/sdk/python/requirements/py3.7-requirements.txt +++ b/sdk/python/requirements/py3.7-requirements.txt @@ -81,6 +81,7 @@ mmh3==3.0.0 # via feast (setup.py) numpy==1.21.6 # via + # feast (setup.py) # pandas # pandavro # pyarrow diff --git a/sdk/python/requirements/py3.8-ci-requirements.txt b/sdk/python/requirements/py3.8-ci-requirements.txt index 07bf635a51e..beadb991de8 100644 --- a/sdk/python/requirements/py3.8-ci-requirements.txt +++ b/sdk/python/requirements/py3.8-ci-requirements.txt @@ -259,6 +259,8 @@ grpcio-tools==1.44.0 # via feast (setup.py) h11==0.13.0 # via uvicorn +happybase==1.2.0 + # via feast (setup.py) hiredis==2.0.0 # via feast (setup.py) httplib2==0.20.4 @@ -362,9 +364,10 @@ nbformat==5.3.0 # via great-expectations nodeenv==1.6.0 # via pre-commit -numpy==1.22.3 +numpy==1.21.6 # via # altair + # feast (setup.py) # great-expectations # pandas # pandavro @@ -413,6 +416,8 @@ platformdirs==2.5.2 # via virtualenv pluggy==1.0.0 # via pytest +ply==3.11 + # via thriftpy2 portalocker==2.4.0 # via msal-extensions pre-commit==2.18.1 @@ -604,6 +609,7 @@ six==1.16.0 # google-cloud-core # google-resumable-media # grpcio + # happybase # mock # msrestazure # pandavro @@ -648,6 +654,8 @@ termcolor==1.1.0 # via great-expectations testcontainers==3.5.3 # via feast (setup.py) +thriftpy2==0.4.14 + # via happybase toml==0.10.2 # via # black diff --git a/sdk/python/requirements/py3.8-requirements.txt b/sdk/python/requirements/py3.8-requirements.txt index 92445b305b9..688710ba44d 100644 --- a/sdk/python/requirements/py3.8-requirements.txt +++ b/sdk/python/requirements/py3.8-requirements.txt @@ -75,8 +75,9 @@ markupsafe==2.1.1 # via jinja2 mmh3==3.0.0 # via feast (setup.py) -numpy==1.22.3 +numpy==1.21.6 # via + # feast (setup.py) # pandas # pandavro # pyarrow diff --git a/sdk/python/requirements/py3.9-ci-requirements.txt b/sdk/python/requirements/py3.9-ci-requirements.txt index 42d7b35335d..ef3f7f67dee 100644 --- a/sdk/python/requirements/py3.9-ci-requirements.txt +++ b/sdk/python/requirements/py3.9-ci-requirements.txt @@ -255,6 +255,8 @@ grpcio-tools==1.44.0 # via feast (setup.py) h11==0.13.0 # via uvicorn +happybase==1.2.0 + # via feast (setup.py) hiredis==2.0.0 # via feast (setup.py) httplib2==0.20.4 @@ -356,9 +358,10 @@ nbformat==5.3.0 # via great-expectations nodeenv==1.6.0 # via pre-commit -numpy==1.22.3 +numpy==1.21.6 # via # altair + # feast (setup.py) # great-expectations # pandas # pandavro @@ -407,6 +410,8 @@ platformdirs==2.5.2 # via virtualenv pluggy==1.0.0 # via pytest +ply==3.11 + # via thriftpy2 portalocker==2.4.0 # via msal-extensions pre-commit==2.18.1 @@ -579,10 +584,10 @@ responses==0.20.0 # via moto rsa==4.8 # via google-auth -ruamel.yaml==0.17.17 +ruamel-yaml==0.17.17 # via great-expectations -ruamel.yaml.clib==0.2.6 - # via ruamel.yaml +ruamel-yaml-clib==0.2.6 + # via ruamel-yaml s3transfer==0.5.2 # via boto3 scipy==1.8.0 @@ -598,6 +603,7 @@ six==1.16.0 # google-cloud-core # google-resumable-media # grpcio + # happybase # mock # msrestazure # pandavro @@ -642,6 +648,8 @@ termcolor==1.1.0 # via great-expectations testcontainers==3.5.3 # via feast (setup.py) +thriftpy2==0.4.14 + # via happybase toml==0.10.2 # via # black diff --git a/sdk/python/requirements/py3.9-requirements.txt b/sdk/python/requirements/py3.9-requirements.txt index d277f60689a..ce098cbb8b1 100644 --- a/sdk/python/requirements/py3.9-requirements.txt +++ b/sdk/python/requirements/py3.9-requirements.txt @@ -73,8 +73,9 @@ markupsafe==2.1.1 # via jinja2 mmh3==3.0.0 # via feast (setup.py) -numpy==1.22.3 +numpy==1.21.6 # via + # feast (setup.py) # pandas # pandavro # pyarrow diff --git a/sdk/python/setup.py b/sdk/python/setup.py index 3d076be7760..c9e9889d74d 100644 --- a/sdk/python/setup.py +++ b/sdk/python/setup.py @@ -57,6 +57,7 @@ "Jinja2>=2.0.0", "jsonschema", "mmh3", + "numpy<1.22", # 1.22 drops support for python 3.7. "pandas>=1.0.0", "pandavro==1.5.*", "protobuf>=3.10,<3.20", From 8bbe6c53a888c6fb1bc0a25baf41a74b54709f65 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 27 Apr 2022 14:23:44 -0700 Subject: [PATCH 40/87] chore(deps): Bump ejs from 3.1.6 to 3.1.7 in /ui (#2619) Bumps [ejs](https://github.com/mde/ejs) from 3.1.6 to 3.1.7. - [Release notes](https://github.com/mde/ejs/releases) - [Changelog](https://github.com/mde/ejs/blob/main/CHANGELOG.md) - [Commits](https://github.com/mde/ejs/compare/v3.1.6...v3.1.7) --- updated-dependencies: - dependency-name: ejs dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- ui/yarn.lock | 60 ++++++++++++++++++++++++++++++++-------------------- 1 file changed, 37 insertions(+), 23 deletions(-) diff --git a/ui/yarn.lock b/ui/yarn.lock index 396204ffb4d..8079556b8d3 100644 --- a/ui/yarn.lock +++ b/ui/yarn.lock @@ -3009,11 +3009,6 @@ ast-types-flow@^0.0.7: resolved "https://registry.yarnpkg.com/ast-types-flow/-/ast-types-flow-0.0.7.tgz#f70b735c6bca1a5c9c22d982c3e39e7feba3bdad" integrity sha1-9wtzXGvKGlycItmCw+Oef+ujva0= -async@0.9.x: - version "0.9.2" - resolved "https://registry.yarnpkg.com/async/-/async-0.9.2.tgz#aea74d5e61c1f899613bf64bda66d4c78f2fd17d" - integrity sha1-rqdNXmHB+JlhO/ZL2mbUx48v0X0= - async@^2.6.2: version "2.6.3" resolved "https://registry.yarnpkg.com/async/-/async-2.6.3.tgz#d72625e2344a3656e3a3ad4fa749fa83299d82ff" @@ -3021,6 +3016,11 @@ async@^2.6.2: dependencies: lodash "^4.17.14" +async@^3.2.3: + version "3.2.3" + resolved "https://registry.yarnpkg.com/async/-/async-3.2.3.tgz#ac53dafd3f4720ee9e8a160628f18ea91df196c9" + integrity sha512-spZRyzKL5l5BZQrr/6m/SqFdBN0q3OCI0f9rjfBzCMBIP4p75P620rR3gTmaksNOhmzgdxcaxdNfMy6anrbM0g== + asynckit@^0.4.0: version "0.4.0" resolved "https://registry.yarnpkg.com/asynckit/-/asynckit-0.4.0.tgz#c79ed97f7f34cb8f2ba1bc9790bcc366474b4b79" @@ -3306,6 +3306,13 @@ brace-expansion@^1.1.7: balanced-match "^1.0.0" concat-map "0.0.1" +brace-expansion@^2.0.1: + version "2.0.1" + resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-2.0.1.tgz#1edc459e0f0c548486ecf9fc99f2221364b9a0ae" + integrity sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA== + dependencies: + balanced-match "^1.0.0" + braces@^3.0.1, braces@~3.0.2: version "3.0.2" resolved "https://registry.yarnpkg.com/braces/-/braces-3.0.2.tgz#3454e1a462ee8d599e236df336cd9ea4f8afe107" @@ -3452,7 +3459,7 @@ chalk@4.1.1: ansi-styles "^4.1.0" supports-color "^7.1.0" -chalk@^2.0.0, chalk@^2.4.1, chalk@^2.4.2: +chalk@^2.0.0, chalk@^2.4.1: version "2.4.2" resolved "https://registry.yarnpkg.com/chalk/-/chalk-2.4.2.tgz#cd42541677a54333cf541a49108c1432b44c9424" integrity sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ== @@ -3469,7 +3476,7 @@ chalk@^3.0.0: ansi-styles "^4.1.0" supports-color "^7.1.0" -chalk@^4.0.0, chalk@^4.1.0, chalk@^4.1.1, chalk@^4.1.2: +chalk@^4.0.0, chalk@^4.0.2, chalk@^4.1.0, chalk@^4.1.1, chalk@^4.1.2: version "4.1.2" resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01" integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA== @@ -4639,11 +4646,11 @@ ee-first@1.1.1: integrity sha1-WQxhFWsK4vTwJVcyoViyZrxWsh0= ejs@^3.1.6: - version "3.1.6" - resolved "https://registry.yarnpkg.com/ejs/-/ejs-3.1.6.tgz#5bfd0a0689743bb5268b3550cceeebbc1702822a" - integrity sha512-9lt9Zse4hPucPkoP7FHDF0LQAlGyF9JVpnClFLFH3aSSbxmyoqINRpp/9wePWJTUl4KOQwRL72Iw3InHPDkoGw== + version "3.1.7" + resolved "https://registry.yarnpkg.com/ejs/-/ejs-3.1.7.tgz#c544d9c7f715783dd92f0bddcf73a59e6962d006" + integrity sha512-BIar7R6abbUxDA3bfXrO4DSgwo8I+fB5/1zgujl3HLLjwd6+9iOnrT+t3grn2qbk9vOgBubXOFwX2m9axoFaGw== dependencies: - jake "^10.6.1" + jake "^10.8.5" electron-to-chromium@^1.4.17: version "1.4.57" @@ -5219,11 +5226,11 @@ file-selector@^0.2.2: tslib "^2.0.3" filelist@^1.0.1: - version "1.0.2" - resolved "https://registry.yarnpkg.com/filelist/-/filelist-1.0.2.tgz#80202f21462d4d1c2e214119b1807c1bc0380e5b" - integrity sha512-z7O0IS8Plc39rTCq6i6iHxk43duYOn8uFJiWSewIq0Bww1RNybVHSCjahmcC87ZqAm4OTvFzlzeGu3XAzG1ctQ== + version "1.0.3" + resolved "https://registry.yarnpkg.com/filelist/-/filelist-1.0.3.tgz#448607750376484932f67ef1b9ff07386b036c83" + integrity sha512-LwjCsruLWQULGYKy7TX0OPtrL9kLpojOFKc5VCTxdFTV7w5zbsgqVKfnkKG7Qgjtq50gKfO56hJv88OfcGb70Q== dependencies: - minimatch "^3.0.4" + minimatch "^5.0.1" filesize@^8.0.6: version "8.0.7" @@ -6348,13 +6355,13 @@ istanbul-reports@^3.1.3: html-escaper "^2.0.0" istanbul-lib-report "^3.0.0" -jake@^10.6.1: - version "10.8.2" - resolved "https://registry.yarnpkg.com/jake/-/jake-10.8.2.tgz#ebc9de8558160a66d82d0eadc6a2e58fbc500a7b" - integrity sha512-eLpKyrfG3mzvGE2Du8VoPbeSkRry093+tyNjdYaBbJS9v17knImYGNXQCUV0gLxQtF82m3E8iRb/wdSQZLoq7A== +jake@^10.8.5: + version "10.8.5" + resolved "https://registry.yarnpkg.com/jake/-/jake-10.8.5.tgz#f2183d2c59382cb274226034543b9c03b8164c46" + integrity sha512-sVpxYeuAhWt0OTWITwT98oyV0GsXyMlXCF+3L1SuafBVUIr/uILGRB+NqwkzhgXKvoJpDIpQvqkUALgdmQsQxw== dependencies: - async "0.9.x" - chalk "^2.4.2" + async "^3.2.3" + chalk "^4.0.2" filelist "^1.0.1" minimatch "^3.0.4" @@ -7274,20 +7281,27 @@ minimalistic-assert@^1.0.0: resolved "https://registry.yarnpkg.com/minimalistic-assert/-/minimalistic-assert-1.0.1.tgz#2e194de044626d4a10e7f7fbc00ce73e83e4d5c7" integrity sha512-UtJcAD4yEaGtjPezWuO9wC4nwUnVH/8/Im3yEHQP4b67cXlD/Qr9hdITCU1xDbSEXg2XKNaP8jsReV7vQd00/A== -minimatch@3.0.4, minimatch@^3.0.4: +minimatch@3.0.4: version "3.0.4" resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.0.4.tgz#5166e286457f03306064be5497e8dbb0c3d32083" integrity sha512-yJHVQEhyqPLUTgt9B83PXu6W3rx4MvvHvSUvToogpwoGDOUQ+yDrR0HRot+yOCdCO7u4hX3pWft6kWBBcqh0UA== dependencies: brace-expansion "^1.1.7" -minimatch@^3.0.2: +minimatch@^3.0.2, minimatch@^3.0.4: version "3.1.2" resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.1.2.tgz#19cd194bfd3e428f049a70817c038d89ab4be35b" integrity sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw== dependencies: brace-expansion "^1.1.7" +minimatch@^5.0.1: + version "5.0.1" + resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-5.0.1.tgz#fb9022f7528125187c92bd9e9b6366be1cf3415b" + integrity sha512-nLDxIFRyhDblz3qMuq+SoRZED4+miJ/G+tdDrjkkkRnjAsBexeGpgjLEQ0blJy7rHhR2b93rhQY4SvyWu9v03g== + dependencies: + brace-expansion "^2.0.1" + minimist@^1.1.1, minimist@^1.2.0, minimist@^1.2.5: version "1.2.6" resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.6.tgz#8637a5b759ea0d6e98702cfb3a9283323c93af44" From 3c4e3198adb408ad83e740709cb9b9934116c12f Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Wed, 27 Apr 2022 19:13:45 -0700 Subject: [PATCH 41/87] ci: Add some assertions in tests (#2620) Signed-off-by: Achal Shah --- sdk/python/tests/integration/e2e/test_universal_e2e.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/sdk/python/tests/integration/e2e/test_universal_e2e.py b/sdk/python/tests/integration/e2e/test_universal_e2e.py index 957cf9fba6f..84c10bda846 100644 --- a/sdk/python/tests/integration/e2e/test_universal_e2e.py +++ b/sdk/python/tests/integration/e2e/test_universal_e2e.py @@ -50,7 +50,9 @@ def check_offline_and_online_features( ).to_dict() if full_feature_names: + if expected_value: + assert response_dict[f"{fv.name}__value"][0], f"Response: {response_dict}" assert ( abs(response_dict[f"{fv.name}__value"][0] - expected_value) < 1e-6 ), f"Response: {response_dict}, Expected: {expected_value}" @@ -58,6 +60,7 @@ def check_offline_and_online_features( assert response_dict[f"{fv.name}__value"][0] is None else: if expected_value: + assert response_dict["value"][0], f"Response: {response_dict}" assert ( abs(response_dict["value"][0] - expected_value) < 1e-6 ), f"Response: {response_dict}, Expected: {expected_value}" From 2b2a76b20e250fa4d0d88b93d2f4930a62074504 Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Fri, 29 Apr 2022 04:14:50 +0300 Subject: [PATCH 42/87] chore: List of avaliable online and offline stores exposed in test configuration (#2625) * avaliable online and offline stores exposed in test configuration Signed-off-by: pyalex * restore snowflake store Signed-off-by: pyalex --- .../feature_repos/repo_configuration.py | 113 +++++++++++------- 1 file changed, 68 insertions(+), 45 deletions(-) diff --git a/sdk/python/tests/integration/feature_repos/repo_configuration.py b/sdk/python/tests/integration/feature_repos/repo_configuration.py index cc094a055aa..c636c2a62de 100644 --- a/sdk/python/tests/integration/feature_repos/repo_configuration.py +++ b/sdk/python/tests/integration/feature_repos/repo_configuration.py @@ -28,6 +28,9 @@ from tests.integration.feature_repos.universal.data_sources.bigquery import ( BigQueryDataSourceCreator, ) +from tests.integration.feature_repos.universal.data_sources.file import ( + FileDataSourceCreator, +) from tests.integration.feature_repos.universal.data_sources.redshift import ( RedshiftDataSourceCreator, ) @@ -70,6 +73,25 @@ "connection_string": "127.0.0.1:6001,127.0.0.1:6002,127.0.0.1:6003", } +AVAILABLE_OFFLINE_STORES: List[Any] = [ + FileDataSourceCreator, +] + +AVAILABLE_ONLINE_STORES: List[Any] = [ + "sqlite", +] + +if os.getenv("FEAST_IS_LOCAL_TEST", "False") != "True": + AVAILABLE_OFFLINE_STORES.extend( + [ + BigQueryDataSourceCreator, + RedshiftDataSourceCreator, + SnowflakeDataSourceCreator, + ] + ) + + AVAILABLE_ONLINE_STORES.extend([REDIS_CONFIG, DYNAMO_CONFIG]) + # FULL_REPO_CONFIGS contains the repo configurations (e.g. provider, offline store, # online store, test data, and more parameters) that most integration tests will test # against. By default, FULL_REPO_CONFIGS uses the three providers (local, GCP, and AWS) @@ -81,52 +103,53 @@ # Local configurations IntegrationTestRepoConfig(), IntegrationTestRepoConfig(python_feature_server=True), + IntegrationTestRepoConfig(online_store=REDIS_CONFIG), + # GCP configurations + IntegrationTestRepoConfig( + provider="gcp", + offline_store_creator=BigQueryDataSourceCreator, + online_store="datastore", + ), + IntegrationTestRepoConfig( + provider="gcp", + offline_store_creator=BigQueryDataSourceCreator, + online_store=REDIS_CONFIG, + ), + # AWS configurations + IntegrationTestRepoConfig( + provider="aws", + offline_store_creator=RedshiftDataSourceCreator, + online_store=DYNAMO_CONFIG, + python_feature_server=True, + ), + IntegrationTestRepoConfig( + provider="aws", + offline_store_creator=RedshiftDataSourceCreator, + online_store=REDIS_CONFIG, + ), + # Snowflake configurations + IntegrationTestRepoConfig( + provider="aws", # no list features, no feature server + offline_store_creator=SnowflakeDataSourceCreator, + online_store=REDIS_CONFIG, + ), + # Go implementation for online retrieval + IntegrationTestRepoConfig(online_store=REDIS_CONFIG, go_feature_retrieval=True,), + # TODO(felixwang9817): Enable this test once https://github.com/feast-dev/feast/issues/2544 is resolved. + # IntegrationTestRepoConfig( + # online_store=REDIS_CONFIG, + # python_feature_server=True, + # go_feature_retrieval=True, + # ), ] -if os.getenv("FEAST_IS_LOCAL_TEST", "False") != "True": - DEFAULT_FULL_REPO_CONFIGS.extend( - [ - IntegrationTestRepoConfig(online_store=REDIS_CONFIG), - # GCP configurations - IntegrationTestRepoConfig( - provider="gcp", - offline_store_creator=BigQueryDataSourceCreator, - online_store="datastore", - ), - IntegrationTestRepoConfig( - provider="gcp", - offline_store_creator=BigQueryDataSourceCreator, - online_store=REDIS_CONFIG, - ), - # AWS configurations - IntegrationTestRepoConfig( - provider="aws", - offline_store_creator=RedshiftDataSourceCreator, - online_store=DYNAMO_CONFIG, - python_feature_server=True, - ), - IntegrationTestRepoConfig( - provider="aws", - offline_store_creator=RedshiftDataSourceCreator, - online_store=REDIS_CONFIG, - ), - # Snowflake configurations - IntegrationTestRepoConfig( - provider="aws", # no list features, no feature server - offline_store_creator=SnowflakeDataSourceCreator, - online_store=REDIS_CONFIG, - ), - # Go implementation for online retrieval - IntegrationTestRepoConfig( - online_store=REDIS_CONFIG, go_feature_retrieval=True, - ), - # TODO(felixwang9817): Enable this test once https://github.com/feast-dev/feast/issues/2544 is resolved. - # IntegrationTestRepoConfig( - # online_store=REDIS_CONFIG, - # python_feature_server=True, - # go_feature_retrieval=True, - # ), - ] - ) + +DEFAULT_FULL_REPO_CONFIGS = [ + c + for c in DEFAULT_FULL_REPO_CONFIGS + if c.online_store in AVAILABLE_ONLINE_STORES + and c.offline_store_creator in AVAILABLE_OFFLINE_STORES +] + if os.getenv("FEAST_GO_FEATURE_RETRIEVAL", "False") == "True": DEFAULT_FULL_REPO_CONFIGS = [ IntegrationTestRepoConfig( From cff013387a3c62a60a3dc4c2ce713458c727ff18 Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Fri, 29 Apr 2022 21:30:32 +0300 Subject: [PATCH 43/87] chore: Basic e2e test for go grpc server (#2628) * basic e2e tests for go grpc server Signed-off-by: pyalex * buffered channel Signed-off-by: pyalex * up go.mod Signed-off-by: pyalex * update gopy Signed-off-by: pyalex --- go.mod | 4 +- go.sum | 6 +- go/embedded/online_features.go | 20 ++- go/internal/feast/server/grpc_server.go | 5 +- .../embedded_go/online_features_service.py | 3 + .../integration/e2e/test_go_feature_server.py | 139 ++++++++++++++++++ 6 files changed, 163 insertions(+), 14 deletions(-) create mode 100644 sdk/python/tests/integration/e2e/test_go_feature_server.py diff --git a/go.mod b/go.mod index 4fb5ef83004..f983dae3442 100644 --- a/go.mod +++ b/go.mod @@ -10,6 +10,7 @@ require ( github.com/golang/protobuf v1.5.2 github.com/google/uuid v1.3.0 github.com/mattn/go-sqlite3 v1.14.12 + github.com/pkg/errors v0.9.1 github.com/spaolacci/murmur3 v1.1.0 github.com/stretchr/testify v1.7.0 google.golang.org/grpc v1.45.0 @@ -34,7 +35,6 @@ require ( github.com/minio/asm2plan9s v0.0.0-20200509001527-cdd76441f9d8 // indirect github.com/minio/c2goasm v0.0.0-20190812172519-36a3d3bbc4f3 // indirect github.com/pierrec/lz4/v4 v4.1.14 // indirect - github.com/pkg/errors v0.9.1 // indirect github.com/pmezard/go-difflib v1.0.0 // indirect github.com/zeebo/xxh3 v1.0.2 // indirect golang.org/x/exp v0.0.0-20220407100705-7b9b53b0aca4 // indirect @@ -50,4 +50,4 @@ require ( gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c // indirect ) -replace github.com/go-python/gopy v0.4.0 => github.com/feast-dev/gopy v0.4.1-0.20220329011409-d705e6cd1d9b +replace github.com/go-python/gopy v0.4.0 => github.com/feast-dev/gopy v0.4.1-0.20220429180328-4257ac71a4d0 diff --git a/go.sum b/go.sum index ef9a0c6989b..e1f2436b296 100644 --- a/go.sum +++ b/go.sum @@ -85,8 +85,8 @@ github.com/envoyproxy/go-control-plane v0.9.9-0.20210512163311-63b5d3c536b0/go.m github.com/envoyproxy/go-control-plane v0.9.10-0.20210907150352-cf90f659a021/go.mod h1:AFq3mo9L8Lqqiid3OhADV3RfLJnjiw63cSpi+fDTRC0= github.com/envoyproxy/protoc-gen-validate v0.1.0/go.mod h1:iSmxcyjqTsJpI2R4NaDN7+kN2VEUnK/pcBlmesArF7c= github.com/fatih/color v1.7.0/go.mod h1:Zm6kSWBoL9eyXnKyktHP6abPY2pDugNf5KwzbycvMj4= -github.com/feast-dev/gopy v0.4.1-0.20220329011409-d705e6cd1d9b h1:C/oK6gi12Q7fiiVCI3e62tqWCSXqsTz9OpyK249XI84= -github.com/feast-dev/gopy v0.4.1-0.20220329011409-d705e6cd1d9b/go.mod h1:ZO6vpitQ61NVoQP/2yOubPS6ET5pP3CAWCiMYn5eqCc= +github.com/feast-dev/gopy v0.4.1-0.20220429180328-4257ac71a4d0 h1:Go714ObVP1O+a6qK7haXVL28QNm6WMD8bwnN9EA8PlM= +github.com/feast-dev/gopy v0.4.1-0.20220429180328-4257ac71a4d0/go.mod h1:ZO6vpitQ61NVoQP/2yOubPS6ET5pP3CAWCiMYn5eqCc= github.com/fogleman/gg v1.2.1-0.20190220221249-0403632d5b90/go.mod h1:R/bRT+9gY/C5z7JzPU0zXsXHKM4/ayA+zqcVNZzPa1k= github.com/fogleman/gg v1.3.0/go.mod h1:R/bRT+9gY/C5z7JzPU0zXsXHKM4/ayA+zqcVNZzPa1k= github.com/franela/goblin v0.0.0-20200105215937-c9ffbefa60db/go.mod h1:7dvUGVsVBjqR7JHJk0brhHOZYGmfBYOrK0ZhYMEtBr4= @@ -168,8 +168,6 @@ github.com/google/gofuzz v1.0.0/go.mod h1:dBl0BpW6vV/+mYPU4Po3pmUjxk6FQPldtuIdl/ github.com/google/renameio v0.1.0/go.mod h1:KWCgfxg9yswjAJkECMjeO8J8rahYeXnNhOm40UhjYkI= github.com/google/uuid v1.0.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= github.com/google/uuid v1.1.2/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= -github.com/google/uuid v1.2.0 h1:qJYtXnJRWmpe7m/3XlyhrsLrEURqHRM2kxzoxXqyUDs= -github.com/google/uuid v1.2.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= github.com/google/uuid v1.3.0 h1:t6JiXgmwXMjEs8VusXIJk2BXHsn+wx8BZdTaoZ5fu7I= github.com/google/uuid v1.3.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= github.com/gopherjs/gopherjs v0.0.0-20181017120253-0766667cb4d1/go.mod h1:wJfORRmW1u3UXTncJ5qlYoELFm8eSnnEO6hX4iZ3EWY= diff --git a/go/embedded/online_features.go b/go/embedded/online_features.go index c67f9ef7f4e..d019bb72acb 100644 --- a/go/embedded/online_features.go +++ b/go/embedded/online_features.go @@ -30,7 +30,8 @@ import ( ) type OnlineFeatureService struct { - fs *feast.FeatureStore + fs *feast.FeatureStore + grpcStopCh chan os.Signal } type OnlineFeatureServiceConfig struct { @@ -54,7 +55,11 @@ func NewOnlineFeatureService(conf *OnlineFeatureServiceConfig, transformationCal log.Fatalln(err) } - return &OnlineFeatureService{fs: fs} + // Notify this channel when receiving interrupt or termination signals from OS + c := make(chan os.Signal, 1) + signal.Notify(c, syscall.SIGINT, syscall.SIGTERM) + + return &OnlineFeatureService{fs: fs, grpcStopCh: c} } func (s *OnlineFeatureService) GetEntityTypesMap(featureRefs []string) (map[string]int32, error) { @@ -219,15 +224,14 @@ func (s *OnlineFeatureService) StartGprcServer(host string, port int) error { if err != nil { return err } + log.Printf("Listening a gRPC server on host %s port %d\n", host, port) + grpcServer := grpc.NewServer() serving.RegisterServingServiceServer(grpcServer, ser) - // Notify this channel when receiving interrupt or termination signals from OS - c := make(chan os.Signal, 1) - signal.Notify(c, syscall.SIGINT, syscall.SIGTERM) go func() { // As soon as these signals are received from OS, try to gracefully stop the gRPC server - <-c + <-s.grpcStopCh fmt.Println("Stopping the gRPC server...") grpcServer.GracefulStop() }() @@ -239,6 +243,10 @@ func (s *OnlineFeatureService) StartGprcServer(host string, port int) error { return nil } +func (s *OnlineFeatureService) Stop() { + s.grpcStopCh <- syscall.SIGINT +} + /* Read Record Batch from memory managed by Python caller. Python part uses C ABI interface to export this record into C Data Interface, diff --git a/go/internal/feast/server/grpc_server.go b/go/internal/feast/server/grpc_server.go index c5aabd52d97..60408809594 100644 --- a/go/internal/feast/server/grpc_server.go +++ b/go/internal/feast/server/grpc_server.go @@ -79,8 +79,9 @@ func (s *grpcServingServiceServer) GetOnlineFeatures(ctx context.Context, reques }) } - if featuresOrService.FeatureService != nil && s.loggingService != nil { - logger, err := s.loggingService.GetOrCreateLogger(featuresOrService.FeatureService) + featureService := featuresOrService.FeatureService + if featureService != nil && featureService.LoggingConfig != nil && s.loggingService != nil { + logger, err := s.loggingService.GetOrCreateLogger(featureService) if err != nil { fmt.Printf("Couldn't instantiate logger for feature service %s: %+v", featuresOrService.FeatureService.Name, err) } diff --git a/sdk/python/feast/embedded_go/online_features_service.py b/sdk/python/feast/embedded_go/online_features_service.py index 5bb27e2ae03..613838b9a94 100644 --- a/sdk/python/feast/embedded_go/online_features_service.py +++ b/sdk/python/feast/embedded_go/online_features_service.py @@ -135,6 +135,9 @@ def get_online_features( def start_grpc_server(self, host: str, port: int): self._service.StartGprcServer(host, port) + def stop_grpc_server(self): + self._service.Stop() + def _to_arrow(value, type_hint: Optional[ValueType]) -> pa.Array: if isinstance(value, Value_pb2.RepeatedValue): diff --git a/sdk/python/tests/integration/e2e/test_go_feature_server.py b/sdk/python/tests/integration/e2e/test_go_feature_server.py new file mode 100644 index 00000000000..325e185ce2c --- /dev/null +++ b/sdk/python/tests/integration/e2e/test_go_feature_server.py @@ -0,0 +1,139 @@ +import socket +import threading +from contextlib import closing +from typing import List + +import grpc +import pytest + +from feast import FeatureService, ValueType +from feast.embedded_go.online_features_service import EmbeddedOnlineFeatureServer +from feast.feast_object import FeastObject +from feast.protos.feast.serving.ServingService_pb2 import ( + FieldStatus, + GetOnlineFeaturesRequest, + GetOnlineFeaturesResponse, +) +from feast.protos.feast.serving.ServingService_pb2_grpc import ServingServiceStub +from feast.protos.feast.types.Value_pb2 import RepeatedValue +from feast.type_map import python_values_to_proto_values +from feast.wait import wait_retry_backoff +from tests.integration.feature_repos.integration_test_repo_config import ( + IntegrationTestRepoConfig, +) +from tests.integration.feature_repos.repo_configuration import ( + AVAILABLE_OFFLINE_STORES, + AVAILABLE_ONLINE_STORES, + REDIS_CONFIG, + construct_test_environment, + construct_universal_feature_views, + construct_universal_test_data, +) +from tests.integration.feature_repos.universal.entities import ( + customer, + driver, + location, +) + +LOCAL_REPO_CONFIGS = [ + IntegrationTestRepoConfig(online_store=REDIS_CONFIG, go_feature_retrieval=True), +] + + +@pytest.fixture( + params=[ + c + for c in LOCAL_REPO_CONFIGS + if c.offline_store_creator in AVAILABLE_OFFLINE_STORES + and c.online_store in AVAILABLE_ONLINE_STORES + ] +) +def local_environment(request): + e = construct_test_environment(request.param) + + def cleanup(): + e.feature_store.teardown() + + request.addfinalizer(cleanup) + return e + + +@pytest.fixture +def initialized_registry(local_environment): + fs = local_environment.feature_store + + entities, datasets, data_sources = construct_universal_test_data(local_environment) + feature_views = construct_universal_feature_views(data_sources) + + feature_service = FeatureService( + name="driver_features", features=[feature_views.driver] + ) + feast_objects: List[FeastObject] = [feature_service] + feast_objects.extend(feature_views.values()) + feast_objects.extend([driver(), customer(), location()]) + + fs.apply(feast_objects) + fs.materialize(local_environment.start_date, local_environment.end_date) + + +@pytest.fixture +def grpc_server_port(local_environment, initialized_registry): + fs = local_environment.feature_store + + embedded = EmbeddedOnlineFeatureServer( + repo_path=str(fs.repo_path.absolute()), repo_config=fs.config, feature_store=fs, + ) + port = free_port() + + t = threading.Thread(target=embedded.start_grpc_server, args=("127.0.0.1", port)) + t.start() + + wait_retry_backoff( + lambda: (None, check_port_open("127.0.0.1", port)), timeout_secs=15 + ) + + yield port + embedded.stop_grpc_server() + + +@pytest.fixture +def grpc_client(grpc_server_port): + ch = grpc.insecure_channel(f"localhost:{grpc_server_port}") + yield ServingServiceStub(ch) + + +@pytest.mark.integration +@pytest.mark.universal +def test_go_grpc_server(grpc_client): + resp: GetOnlineFeaturesResponse = grpc_client.GetOnlineFeatures( + GetOnlineFeaturesRequest( + feature_service="driver_features", + entities={ + "driver_id": RepeatedValue( + val=python_values_to_proto_values( + [5001, 5002], feature_type=ValueType.INT64 + ) + ) + }, + full_feature_names=True, + ) + ) + assert list(resp.metadata.feature_names.val) == [ + "driver_id", + "driver_stats__conv_rate", + "driver_stats__acc_rate", + "driver_stats__avg_daily_trips", + ] + for vector in resp.results: + assert all([s == FieldStatus.PRESENT for s in vector.statuses]) + + +def free_port(): + sock = socket.socket() + sock.bind(("", 0)) + return sock.getsockname()[1] + + +def check_port_open(host, port) -> bool: + with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as sock: + return sock.connect_ex((host, port)) == 0 From ccad832a4457f5e6cbc001cbadd91b43d98d282d Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Tue, 3 May 2022 11:07:42 -0700 Subject: [PATCH 44/87] feat: Write logged features to Offline Store (Go - Python integration) (#2621) * write logged features by path Signed-off-by: pyalex * fix dummy sink Signed-off-by: pyalex * share snowflake cursor and stage name Signed-off-by: pyalex * share snowflake cursor and stage name Signed-off-by: pyalex * e2e tests WIP Signed-off-by: pyalex * graceful stop (grpc & logging) Signed-off-by: pyalex * revert accidental change Signed-off-by: pyalex * add comments to go embedded methods Signed-off-by: Oleksii Moskalenko Co-authored-by: Oleksii Moskalenko --- go/embedded/online_features.go | 63 +++++- .../feast/server/logging/filelogsink.go | 2 +- go/internal/feast/server/logging/logger.go | 26 ++- .../feast/server/logging/logger_test.go | 2 +- .../feast/server/logging/memorybuffer.go | 3 +- .../feast/server/logging/memorybuffer_test.go | 2 +- .../feast/server/logging/offlinestoresink.go | 83 ++++++++ go/internal/feast/server/logging/service.go | 7 + go/internal/test/go_integration_test_utils.go | 4 +- .../embedded_go/online_features_service.py | 41 +++- sdk/python/feast/feature_logging.py | 6 +- sdk/python/feast/feature_store.py | 10 +- .../feast/infra/offline_stores/bigquery.py | 14 +- sdk/python/feast/infra/offline_stores/file.py | 6 +- .../infra/offline_stores/offline_store.py | 5 +- .../feast/infra/offline_stores/redshift.py | 8 +- .../feast/infra/offline_stores/snowflake.py | 24 ++- .../feast/infra/passthrough_provider.py | 2 +- sdk/python/feast/infra/provider.py | 8 +- sdk/python/feast/infra/utils/aws_utils.py | 39 +++- .../feast/infra/utils/snowflake_utils.py | 179 ++++++++++++++---- sdk/python/tests/foo_provider.py | 7 +- .../integration/e2e/test_go_feature_server.py | 142 ++++++++++++-- .../offline_store/test_feature_logging.py | 43 +++-- 24 files changed, 612 insertions(+), 114 deletions(-) create mode 100644 go/internal/feast/server/logging/offlinestoresink.go diff --git a/go/embedded/online_features.go b/go/embedded/online_features.go index d019bb72acb..7cd1e4ed815 100644 --- a/go/embedded/online_features.go +++ b/go/embedded/online_features.go @@ -8,23 +8,22 @@ import ( "os" "os/signal" "syscall" - - "google.golang.org/grpc" - - "github.com/feast-dev/feast/go/internal/feast/server" - "github.com/feast-dev/feast/go/internal/feast/server/logging" - "github.com/feast-dev/feast/go/protos/feast/serving" + "time" "github.com/apache/arrow/go/v8/arrow" "github.com/apache/arrow/go/v8/arrow/array" "github.com/apache/arrow/go/v8/arrow/cdata" "github.com/apache/arrow/go/v8/arrow/memory" + "google.golang.org/grpc" "github.com/feast-dev/feast/go/internal/feast" "github.com/feast-dev/feast/go/internal/feast/model" "github.com/feast-dev/feast/go/internal/feast/onlineserving" "github.com/feast-dev/feast/go/internal/feast/registry" + "github.com/feast-dev/feast/go/internal/feast/server" + "github.com/feast-dev/feast/go/internal/feast/server/logging" "github.com/feast-dev/feast/go/internal/feast/transformation" + "github.com/feast-dev/feast/go/protos/feast/serving" prototypes "github.com/feast-dev/feast/go/protos/feast/types" "github.com/feast-dev/feast/go/types" ) @@ -44,6 +43,15 @@ type DataTable struct { SchemaPtr uintptr } +// LoggingOptions is a public (embedded) copy of logging.LoggingOptions struct. +// See logging.LoggingOptions for properties description +type LoggingOptions struct { + ChannelCapacity int + EmitTimeout time.Duration + WriteInterval time.Duration + FlushInterval time.Duration +} + func NewOnlineFeatureService(conf *OnlineFeatureServiceConfig, transformationCallback transformation.TransformationCallback) *OnlineFeatureService { repoConfig, err := registry.NewRepoConfigFromJSON(conf.RepoPath, conf.RepoConfig) if err != nil { @@ -214,17 +222,50 @@ func (s *OnlineFeatureService) GetOnlineFeatures( return nil } +// StartGprcServer starts gRPC server with disabled feature logging and blocks the thread func (s *OnlineFeatureService) StartGprcServer(host string, port int) error { - // TODO(oleksii): enable logging - // Disable logging for now + return s.StartGprcServerWithLogging(host, port, nil, LoggingOptions{}) +} + +// StartGprcServerWithLoggingDefaultOpts starts gRPC server with enabled feature logging but default configuration for logging +// Caller of this function must provide Python callback to flush buffered logs +func (s *OnlineFeatureService) StartGprcServerWithLoggingDefaultOpts(host string, port int, writeLoggedFeaturesCallback logging.OfflineStoreWriteCallback) error { + defaultOpts := LoggingOptions{ + ChannelCapacity: logging.DefaultOptions.ChannelCapacity, + EmitTimeout: logging.DefaultOptions.EmitTimeout, + WriteInterval: logging.DefaultOptions.WriteInterval, + FlushInterval: logging.DefaultOptions.FlushInterval, + } + return s.StartGprcServerWithLogging(host, port, writeLoggedFeaturesCallback, defaultOpts) +} + +// StartGprcServerWithLogging starts gRPC server with enabled feature logging +// Caller of this function must provide Python callback to flush buffered logs as well as logging configuration (loggingOpts) +func (s *OnlineFeatureService) StartGprcServerWithLogging(host string, port int, writeLoggedFeaturesCallback logging.OfflineStoreWriteCallback, loggingOpts LoggingOptions) error { var loggingService *logging.LoggingService = nil + var err error + if writeLoggedFeaturesCallback != nil { + sink, err := logging.NewOfflineStoreSink(writeLoggedFeaturesCallback) + if err != nil { + return err + } + + loggingService, err = logging.NewLoggingService(s.fs, sink, logging.LoggingOptions{ + ChannelCapacity: loggingOpts.ChannelCapacity, + EmitTimeout: loggingOpts.EmitTimeout, + WriteInterval: loggingOpts.WriteInterval, + FlushInterval: loggingOpts.FlushInterval, + }) + if err != nil { + return err + } + } ser := server.NewGrpcServingServiceServer(s.fs, loggingService) log.Printf("Starting a gRPC server on host %s port %d\n", host, port) lis, err := net.Listen("tcp", fmt.Sprintf("%s:%d", host, port)) if err != nil { return err } - log.Printf("Listening a gRPC server on host %s port %d\n", host, port) grpcServer := grpc.NewServer() serving.RegisterServingServiceServer(grpcServer, ser) @@ -234,6 +275,10 @@ func (s *OnlineFeatureService) StartGprcServer(host string, port int) error { <-s.grpcStopCh fmt.Println("Stopping the gRPC server...") grpcServer.GracefulStop() + if loggingService != nil { + loggingService.Stop() + } + fmt.Println("gRPC server terminated") }() err = grpcServer.Serve(lis) diff --git a/go/internal/feast/server/logging/filelogsink.go b/go/internal/feast/server/logging/filelogsink.go index 1d9afcd5234..c9f2049a041 100644 --- a/go/internal/feast/server/logging/filelogsink.go +++ b/go/internal/feast/server/logging/filelogsink.go @@ -49,7 +49,7 @@ func (s *FileLogSink) Write(record arrow.Record) error { return pqarrow.WriteTable(table, writer, 100, props, arrProps) } -func (s *FileLogSink) Flush() error { +func (s *FileLogSink) Flush(featureServiceName string) error { // files are already flushed during Write return nil } diff --git a/go/internal/feast/server/logging/logger.go b/go/internal/feast/server/logging/logger.go index 346bfdbf619..d7ed1fbe189 100644 --- a/go/internal/feast/server/logging/logger.go +++ b/go/internal/feast/server/logging/logger.go @@ -4,6 +4,7 @@ import ( "fmt" "log" "math/rand" + "strings" "sync" "time" @@ -37,7 +38,7 @@ type LogSink interface { // Flush actually send data to a sink. // We want to control amount to interaction with sink, since it could be a costly operation. // Also, some sinks like BigQuery might have quotes and physically limit amount of write requests per day. - Flush() error + Flush(featureServiceName string) error } type Logger interface { @@ -135,6 +136,10 @@ func (l *LoggerImpl) loggerLoop() (lErr error) { lErr = errors.WithStack(rErr) } }() + + writeTicker := time.NewTicker(l.config.WriteInterval) + flushTicker := time.NewTicker(l.config.FlushInterval) + for { shouldStop := false @@ -144,18 +149,18 @@ func (l *LoggerImpl) loggerLoop() (lErr error) { if err != nil { log.Printf("Log write failed: %+v", err) } - err = l.sink.Flush() + err = l.sink.Flush(l.featureServiceName) if err != nil { log.Printf("Log flush failed: %+v", err) } shouldStop = true - case <-time.After(l.config.WriteInterval): + case <-writeTicker.C: err := l.buffer.writeBatch(l.sink) if err != nil { log.Printf("Log write failed: %+v", err) } - case <-time.After(l.config.FlushInterval): - err := l.sink.Flush() + case <-flushTicker.C: + err := l.sink.Flush(l.featureServiceName) if err != nil { log.Printf("Log flush failed: %+v", err) } @@ -171,6 +176,9 @@ func (l *LoggerImpl) loggerLoop() (lErr error) { } } + writeTicker.Stop() + flushTicker.Stop() + // Notify all waiters for graceful stop l.cond.L.Lock() l.isStopped = true @@ -225,7 +233,11 @@ func (l *LoggerImpl) Log(joinKeyToEntityValues map[string][]*types.Value, featur for idx, featureName := range l.schema.Features { featureIdx, ok := featureNameToVectorIdx[featureName] if !ok { - return errors.Errorf("Missing feature %s in log data", featureName) + featureNameParts := strings.Split(featureName, "__") + featureIdx, ok = featureNameToVectorIdx[featureNameParts[1]] + if !ok { + return errors.Errorf("Missing feature %s in log data", featureName) + } } featureValues[idx] = featureVectors[featureIdx].Values[rowIdx] featureStatuses[idx] = featureVectors[featureIdx].Statuses[rowIdx] @@ -259,7 +271,7 @@ func (l *LoggerImpl) Log(joinKeyToEntityValues map[string][]*types.Value, featur EventTimestamps: eventTimestamps, RequestId: requestId, - LogTimestamp: time.Now(), + LogTimestamp: time.Now().UTC(), } err := l.EmitLog(&newLog) if err != nil { diff --git a/go/internal/feast/server/logging/logger_test.go b/go/internal/feast/server/logging/logger_test.go index 0c8e33ef6fe..5625b05a766 100644 --- a/go/internal/feast/server/logging/logger_test.go +++ b/go/internal/feast/server/logging/logger_test.go @@ -28,7 +28,7 @@ func (s *DummySink) Write(rec arrow.Record) error { return nil } -func (s *DummySink) Flush() error { +func (s *DummySink) Flush(featureServiceName string) error { return nil } diff --git a/go/internal/feast/server/logging/memorybuffer.go b/go/internal/feast/server/logging/memorybuffer.go index 80a5e03228a..36eb7118cb4 100644 --- a/go/internal/feast/server/logging/memorybuffer.go +++ b/go/internal/feast/server/logging/memorybuffer.go @@ -2,7 +2,6 @@ package logging import ( "fmt" - "time" "github.com/apache/arrow/go/v8/arrow" "github.com/apache/arrow/go/v8/arrow/array" @@ -143,7 +142,7 @@ func (b *MemoryBuffer) convertToArrowRecord() (arrow.Record, error) { } logTimestamp := arrow.Timestamp(logRow.LogTimestamp.UnixMicro()) - logDate := arrow.Date32(logRow.LogTimestamp.Truncate(24 * time.Hour).Unix()) + logDate := arrow.Date32FromTime(logRow.LogTimestamp) builder.Field(fieldNameToIdx[LOG_TIMESTAMP_FIELD]).(*array.TimestampBuilder).UnsafeAppend(logTimestamp) builder.Field(fieldNameToIdx[LOG_DATE_FIELD]).(*array.Date32Builder).UnsafeAppend(logDate) diff --git a/go/internal/feast/server/logging/memorybuffer_test.go b/go/internal/feast/server/logging/memorybuffer_test.go index f652f2c99a6..59f035799bb 100644 --- a/go/internal/feast/server/logging/memorybuffer_test.go +++ b/go/internal/feast/server/logging/memorybuffer_test.go @@ -158,7 +158,7 @@ func TestSerializeToArrowTable(t *testing.T) { // log date today := time.Now().Truncate(24 * time.Hour) builder.Field(8).(*array.Date32Builder).AppendValues( - []arrow.Date32{arrow.Date32(today.Unix()), arrow.Date32(today.Unix())}, []bool{true, true}) + []arrow.Date32{arrow.Date32FromTime(today), arrow.Date32FromTime(today)}, []bool{true, true}) // request id builder.Field(9).(*array.StringBuilder).AppendValues( diff --git a/go/internal/feast/server/logging/offlinestoresink.go b/go/internal/feast/server/logging/offlinestoresink.go new file mode 100644 index 00000000000..ee4c646a9be --- /dev/null +++ b/go/internal/feast/server/logging/offlinestoresink.go @@ -0,0 +1,83 @@ +package logging + +import ( + "errors" + "fmt" + "io" + "io/ioutil" + "os" + "path/filepath" + + "github.com/apache/arrow/go/v8/arrow" + "github.com/apache/arrow/go/v8/arrow/array" + "github.com/apache/arrow/go/v8/parquet" + "github.com/apache/arrow/go/v8/parquet/pqarrow" + "github.com/google/uuid" +) + +type OfflineStoreWriteCallback func(featureServiceName, datasetDir string) string + +type OfflineStoreSink struct { + datasetDir string + writeCallback OfflineStoreWriteCallback +} + +func NewOfflineStoreSink(writeCallback OfflineStoreWriteCallback) (*OfflineStoreSink, error) { + return &OfflineStoreSink{ + datasetDir: "", + writeCallback: writeCallback, + }, nil +} + +func (s *OfflineStoreSink) getOrCreateDatasetDir() (string, error) { + if s.datasetDir != "" { + return s.datasetDir, nil + } + dir, err := ioutil.TempDir("", "*") + if err != nil { + return "", err + } + s.datasetDir = dir + return s.datasetDir, nil +} + +func (s *OfflineStoreSink) cleanCurrentDatasetDir() error { + if s.datasetDir == "" { + return nil + } + datasetDir := s.datasetDir + s.datasetDir = "" + return os.RemoveAll(datasetDir) +} + +func (s *OfflineStoreSink) Write(record arrow.Record) error { + fileName, _ := uuid.NewUUID() + datasetDir, err := s.getOrCreateDatasetDir() + if err != nil { + return err + } + + var writer io.Writer + writer, err = os.Create(filepath.Join(datasetDir, fmt.Sprintf("%s.parquet", fileName.String()))) + if err != nil { + return err + } + table := array.NewTableFromRecords(record.Schema(), []arrow.Record{record}) + + props := parquet.NewWriterProperties(parquet.WithDictionaryDefault(false)) + arrProps := pqarrow.DefaultWriterProps() + return pqarrow.WriteTable(table, writer, 1000, props, arrProps) +} + +func (s *OfflineStoreSink) Flush(featureServiceName string) error { + if s.datasetDir == "" { + return nil + } + + errMsg := s.writeCallback(featureServiceName, s.datasetDir) + if errMsg != "" { + return errors.New(errMsg) + } + + return s.cleanCurrentDatasetDir() +} diff --git a/go/internal/feast/server/logging/service.go b/go/internal/feast/server/logging/service.go index a06698638ae..9249ad4f2f1 100644 --- a/go/internal/feast/server/logging/service.go +++ b/go/internal/feast/server/logging/service.go @@ -98,3 +98,10 @@ func (s *LoggingService) GetOrCreateLogger(featureService *model.FeatureService) return logger, nil } + +func (s *LoggingService) Stop() { + for _, logger := range s.loggers { + logger.Stop() + logger.WaitUntilStopped() + } +} diff --git a/go/internal/test/go_integration_test_utils.go b/go/internal/test/go_integration_test_utils.go index 6d236a43190..eb727ba1db9 100644 --- a/go/internal/test/go_integration_test_utils.go +++ b/go/internal/test/go_integration_test_utils.go @@ -138,7 +138,7 @@ func SetupInitializedRepo(basePath string) error { // var stderr bytes.Buffer // var stdout bytes.Buffer applyCommand.Dir = featureRepoPath - out, err := applyCommand.Output() + out, err := applyCommand.CombinedOutput() if err != nil { log.Println(string(out)) return err @@ -152,7 +152,7 @@ func SetupInitializedRepo(basePath string) error { materializeCommand := exec.Command("feast", "materialize-incremental", formattedTime) materializeCommand.Env = os.Environ() materializeCommand.Dir = featureRepoPath - out, err = materializeCommand.Output() + out, err = materializeCommand.CombinedOutput() if err != nil { log.Println(string(out)) return err diff --git a/sdk/python/feast/embedded_go/online_features_service.py b/sdk/python/feast/embedded_go/online_features_service.py index 613838b9a94..48e31766cb3 100644 --- a/sdk/python/feast/embedded_go/online_features_service.py +++ b/sdk/python/feast/embedded_go/online_features_service.py @@ -1,4 +1,5 @@ from functools import partial +from pathlib import Path from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union import pyarrow as pa @@ -17,7 +18,12 @@ from feast.types import from_value_type from feast.value_type import ValueType -from .lib.embedded import DataTable, NewOnlineFeatureService, OnlineFeatureServiceConfig +from .lib.embedded import ( + DataTable, + LoggingOptions, + NewOnlineFeatureService, + OnlineFeatureServiceConfig, +) from .lib.go import Slice_string from .type_map import FEAST_TYPE_TO_ARROW_TYPE, arrow_array_to_array_of_proto @@ -31,6 +37,7 @@ def __init__( ): # keep callback in self to prevent it from GC self._transformation_callback = partial(transformation_callback, feature_store) + self._logging_callback = partial(logging_callback, feature_store) self._service = NewOnlineFeatureService( OnlineFeatureServiceConfig( @@ -132,8 +139,24 @@ def get_online_features( resp = record_batch_to_online_response(record_batch) return OnlineResponse(resp) - def start_grpc_server(self, host: str, port: int): - self._service.StartGprcServer(host, port) + def start_grpc_server( + self, + host: str, + port: int, + enable_logging: bool = True, + logging_options: Optional[LoggingOptions] = None, + ): + if enable_logging: + if logging_options: + self._service.StartGprcServerWithLogging( + host, port, self._logging_callback, logging_options + ) + else: + self._service.StartGprcServerWithLoggingDefaultOpts( + host, port, self._logging_callback + ) + else: + self._service.StartGprcServer(host, port) def stop_grpc_server(self): self._service.Stop() @@ -182,6 +205,18 @@ def transformation_callback( return output_record.num_rows +def logging_callback( + fs: "FeatureStore", feature_service_name: str, dataset_dir: str, +) -> bytes: + feature_service = fs.get_feature_service(feature_service_name, allow_cache=True) + try: + fs.write_logged_features(logs=Path(dataset_dir), source=feature_service) + except Exception as exc: + return repr(exc).encode() + + return "".encode() # no error + + def allocate_schema_and_array(): c_schema = ffi.new("struct ArrowSchema*") ptr_schema = int(ffi.cast("uintptr_t", c_schema)) diff --git a/sdk/python/feast/feature_logging.py b/sdk/python/feast/feature_logging.py index acc965ac444..70fab930bbf 100644 --- a/sdk/python/feast/feature_logging.py +++ b/sdk/python/feast/feature_logging.py @@ -108,12 +108,12 @@ class _DestinationRegistry(type): def __new__(cls, name, bases, dct): kls = type.__new__(cls, name, bases, dct) - if dct.get("_proto_attr_name"): - cls.classes_by_proto_attr_name[dct["_proto_attr_name"]] = kls + if dct.get("_proto_kind"): + cls.classes_by_proto_attr_name[dct["_proto_kind"]] = kls return kls -class LoggingDestination: +class LoggingDestination(metaclass=_DestinationRegistry): """ Logging destination contains details about where exactly logs should be written inside an offline store. It is implementation specific - each offline store must implement LoggingDestination subclass. diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 13c73612f09..4b015e8ab82 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -1988,10 +1988,16 @@ def serve_transformations(self, port: int) -> None: def _teardown_go_server(self): self._go_server = None - def write_logged_features(self, logs: pa.Table, source: Union[FeatureService]): + def write_logged_features( + self, logs: Union[pa.Table, Path], source: Union[FeatureService] + ): """ Write logs produced by a source (currently only feature service is supported as a source) to an offline store. + + Args: + logs: Arrow Table or path to parquet dataset directory on disk + source: Object that produces logs """ if not isinstance(source, FeatureService): raise ValueError("Only feature service is currently supported as a source") @@ -2000,6 +2006,8 @@ def write_logged_features(self, logs: pa.Table, source: Union[FeatureService]): source.logging_config is not None ), "Feature service must be configured with logging config in order to use this functionality" + assert isinstance(logs, (pa.Table, Path)) + self._get_provider().write_feature_service_logs( feature_service=source, logs=logs, diff --git a/sdk/python/feast/infra/offline_stores/bigquery.py b/sdk/python/feast/infra/offline_stores/bigquery.py index ee024d4d40e..e9d8bdccbfe 100644 --- a/sdk/python/feast/infra/offline_stores/bigquery.py +++ b/sdk/python/feast/infra/offline_stores/bigquery.py @@ -2,6 +2,7 @@ import tempfile import uuid from datetime import date, datetime, timedelta +from pathlib import Path from typing import ( Callable, ContextManager, @@ -258,7 +259,7 @@ def query_generator() -> Iterator[str]: @staticmethod def write_logged_features( config: RepoConfig, - data: pyarrow.Table, + data: Union[pyarrow.Table, Path], source: LoggingSource, logging_config: LoggingConfig, registry: Registry, @@ -280,6 +281,17 @@ def write_logged_features( ), ) + if isinstance(data, Path): + for file in data.iterdir(): + with file.open("rb") as f: + client.load_table_from_file( + file_obj=f, + destination=destination.table, + job_config=job_config, + ) + + return + with tempfile.TemporaryFile() as parquet_temp_file: pyarrow.parquet.write_table(table=data, where=parquet_temp_file) diff --git a/sdk/python/feast/infra/offline_stores/file.py b/sdk/python/feast/infra/offline_stores/file.py index a85cd880b1e..2dea5714fae 100644 --- a/sdk/python/feast/infra/offline_stores/file.py +++ b/sdk/python/feast/infra/offline_stores/file.py @@ -1,4 +1,5 @@ from datetime import datetime +from pathlib import Path from typing import Callable, List, Optional, Tuple, Union import dask.dataframe as dd @@ -375,7 +376,7 @@ def pull_all_from_table_or_query( @staticmethod def write_logged_features( config: RepoConfig, - data: pyarrow.Table, + data: Union[pyarrow.Table, Path], source: LoggingSource, logging_config: LoggingConfig, registry: Registry, @@ -383,6 +384,9 @@ def write_logged_features( destination = logging_config.destination assert isinstance(destination, FileLoggingDestination) + if isinstance(data, Path): + data = pyarrow.parquet.read_table(data) + filesystem, path = FileSource.create_filesystem_and_path( destination.path, destination.s3_endpoint_override, ) diff --git a/sdk/python/feast/infra/offline_stores/offline_store.py b/sdk/python/feast/infra/offline_stores/offline_store.py index ed545ed5ad4..27a85046e5b 100644 --- a/sdk/python/feast/infra/offline_stores/offline_store.py +++ b/sdk/python/feast/infra/offline_stores/offline_store.py @@ -14,6 +14,7 @@ import warnings from abc import ABC, abstractmethod from datetime import datetime +from pathlib import Path from typing import TYPE_CHECKING, List, Optional, Union import pandas as pd @@ -246,7 +247,7 @@ def pull_all_from_table_or_query( @staticmethod def write_logged_features( config: RepoConfig, - data: pyarrow.Table, + data: Union[pyarrow.Table, Path], source: LoggingSource, logging_config: LoggingConfig, registry: Registry, @@ -259,7 +260,7 @@ def write_logged_features( Args: config: Repo configuration object - data: Arrow table produced by logging source. + data: Arrow table or path to parquet directory that contains logs dataset. source: Logging source that provides schema and some additional metadata. logging_config: used to determine destination registry: Feast registry diff --git a/sdk/python/feast/infra/offline_stores/redshift.py b/sdk/python/feast/infra/offline_stores/redshift.py index fb5759cbbbc..74ba83cb004 100644 --- a/sdk/python/feast/infra/offline_stores/redshift.py +++ b/sdk/python/feast/infra/offline_stores/redshift.py @@ -1,6 +1,7 @@ import contextlib import uuid from datetime import datetime +from pathlib import Path from typing import ( Callable, ContextManager, @@ -265,7 +266,7 @@ def query_generator() -> Iterator[str]: @staticmethod def write_logged_features( config: RepoConfig, - data: pyarrow.Table, + data: Union[pyarrow.Table, Path], source: LoggingSource, logging_config: LoggingConfig, registry: Registry, @@ -277,7 +278,10 @@ def write_logged_features( config.offline_store.region ) s3_resource = aws_utils.get_s3_resource(config.offline_store.region) - s3_path = f"{config.offline_store.s3_staging_location}/logged_features/{uuid.uuid4()}.parquet" + if isinstance(data, Path): + s3_path = f"{config.offline_store.s3_staging_location}/logged_features/{uuid.uuid4()}" + else: + s3_path = f"{config.offline_store.s3_staging_location}/logged_features/{uuid.uuid4()}.parquet" aws_utils.upload_arrow_table_to_redshift( table=data, diff --git a/sdk/python/feast/infra/offline_stores/snowflake.py b/sdk/python/feast/infra/offline_stores/snowflake.py index 4cf6716c5ec..d39acc9f08d 100644 --- a/sdk/python/feast/infra/offline_stores/snowflake.py +++ b/sdk/python/feast/infra/offline_stores/snowflake.py @@ -42,6 +42,7 @@ execute_snowflake_statement, get_snowflake_conn, write_pandas, + write_parquet, ) from feast.registry import Registry from feast.repo_config import FeastConfigBaseModel, RepoConfig @@ -280,7 +281,7 @@ def query_generator() -> Iterator[str]: @staticmethod def write_logged_features( config: RepoConfig, - data: pyarrow.Table, + data: Union[pyarrow.Table, Path], source: LoggingSource, logging_config: LoggingConfig, registry: Registry, @@ -289,12 +290,21 @@ def write_logged_features( snowflake_conn = get_snowflake_conn(config.offline_store) - write_pandas( - snowflake_conn, - data.to_pandas(), - table_name=logging_config.destination.table_name, - auto_create_table=True, - ) + if isinstance(data, Path): + write_parquet( + snowflake_conn, + data, + source.get_schema(registry), + table_name=logging_config.destination.table_name, + auto_create_table=True, + ) + else: + write_pandas( + snowflake_conn, + data.to_pandas(), + table_name=logging_config.destination.table_name, + auto_create_table=True, + ) class SnowflakeRetrievalJob(RetrievalJob): diff --git a/sdk/python/feast/infra/passthrough_provider.py b/sdk/python/feast/infra/passthrough_provider.py index 6364297b1ee..0b6b798fe01 100644 --- a/sdk/python/feast/infra/passthrough_provider.py +++ b/sdk/python/feast/infra/passthrough_provider.py @@ -221,7 +221,7 @@ def retrieve_saved_dataset( def write_feature_service_logs( self, feature_service: FeatureService, - logs: pyarrow.Table, + logs: Union[pyarrow.Table, str], config: RepoConfig, registry: Registry, ): diff --git a/sdk/python/feast/infra/provider.py b/sdk/python/feast/infra/provider.py index f8c2a4482fb..7754a58319c 100644 --- a/sdk/python/feast/infra/provider.py +++ b/sdk/python/feast/infra/provider.py @@ -190,7 +190,7 @@ def retrieve_saved_dataset( def write_feature_service_logs( self, feature_service: FeatureService, - logs: pyarrow.Table, + logs: Union[pyarrow.Table, Path], config: RepoConfig, registry: Registry, ): @@ -199,6 +199,8 @@ def write_feature_service_logs( Schema of logs table is being inferred from the provided feature service. Only feature services with configured logging are accepted. + + Logs dataset can be passed as Arrow Table or path to parquet directory. """ ... @@ -206,8 +208,8 @@ def write_feature_service_logs( def retrieve_feature_service_logs( self, feature_service: FeatureService, - from_: datetime, - to: datetime, + start_date: datetime, + end_date: datetime, config: RepoConfig, registry: Registry, ) -> RetrievalJob: diff --git a/sdk/python/feast/infra/utils/aws_utils.py b/sdk/python/feast/infra/utils/aws_utils.py index d73c484b29f..bb75160a873 100644 --- a/sdk/python/feast/infra/utils/aws_utils.py +++ b/sdk/python/feast/infra/utils/aws_utils.py @@ -2,7 +2,8 @@ import os import tempfile import uuid -from typing import Any, Dict, Iterator, Optional, Tuple +from pathlib import Path +from typing import Any, Dict, Iterator, Optional, Tuple, Union import pandas as pd import pyarrow @@ -235,7 +236,7 @@ def upload_df_to_redshift( def upload_arrow_table_to_redshift( - table: pyarrow.Table, + table: Union[pyarrow.Table, Path], redshift_data_client, cluster_id: str, database: str, @@ -265,7 +266,7 @@ def upload_arrow_table_to_redshift( iam_role: IAM Role for Redshift to assume during the COPY command. The role must grant permission to read the S3 location. table_name: The name of the new Redshift table where we copy the dataframe - table: The Arrow Table to upload + table: The Arrow Table or Path to parquet dataset to upload schema: (Optionally) client may provide arrow Schema which will be converted into redshift table schema fail_if_exists: fail if table with such name exists or append data to existing table @@ -275,18 +276,35 @@ def upload_arrow_table_to_redshift( if len(table_name) > REDSHIFT_TABLE_NAME_MAX_LENGTH: raise RedshiftTableNameTooLong(table_name) + if isinstance(table, pyarrow.Table) and not schema: + schema = table.schema + + if not schema: + raise ValueError("Schema must be specified when data is passed as a Path") + bucket, key = get_bucket_and_key(s3_path) - schema = schema or table.schema column_query_list = ", ".join( [f"{field.name} {pa_to_redshift_value_type(field.type)}" for field in schema] ) - # Write the PyArrow Table on disk in Parquet format and upload it to S3 - with tempfile.TemporaryFile(suffix=".parquet") as parquet_temp_file: - pq.write_table(table, parquet_temp_file) - parquet_temp_file.seek(0) - s3_resource.Object(bucket, key).put(Body=parquet_temp_file) + uploaded_files = [] + + if isinstance(table, Path): + for file in table.iterdir(): + file_key = os.path.join(key, file.name) + with file.open("rb") as f: + s3_resource.Object(bucket, file_key).put(Body=f) + + uploaded_files.append(file_key) + else: + # Write the PyArrow Table on disk in Parquet format and upload it to S3 + with tempfile.TemporaryFile(suffix=".parquet") as parquet_temp_file: + pq.write_table(table, parquet_temp_file) + parquet_temp_file.seek(0) + s3_resource.Object(bucket, key).put(Body=parquet_temp_file) + + uploaded_files.append(key) copy_query = ( f"COPY {table_name} FROM '{s3_path}' IAM_ROLE '{iam_role}' FORMAT AS PARQUET" @@ -306,7 +324,8 @@ def upload_arrow_table_to_redshift( ) finally: # Clean up S3 temporary data - s3_resource.Object(bucket, key).delete() + for file_pah in uploaded_files: + s3_resource.Object(bucket, file_pah).delete() @contextlib.contextmanager diff --git a/sdk/python/feast/infra/utils/snowflake_utils.py b/sdk/python/feast/infra/utils/snowflake_utils.py index a467a9de421..05834ae4369 100644 --- a/sdk/python/feast/infra/utils/snowflake_utils.py +++ b/sdk/python/feast/infra/utils/snowflake_utils.py @@ -3,10 +3,12 @@ import random import string from logging import getLogger +from pathlib import Path from tempfile import TemporaryDirectory from typing import Any, Dict, Iterator, List, Optional, Tuple, cast import pandas as pd +import pyarrow from cryptography.hazmat.backends import default_backend from cryptography.hazmat.primitives import serialization from tenacity import ( @@ -138,6 +140,73 @@ def write_pandas( the passed in DataFrame. The table will not be created if it already exists create_temp_table: Will make the auto-created table as a temporary table """ + + cursor: SnowflakeCursor = conn.cursor() + stage_name = create_temporary_sfc_stage(cursor) + + upload_df(df, cursor, stage_name, chunk_size, parallel, compression) + copy_uploaded_data_to_table( + cursor, + stage_name, + list(df.columns), + table_name, + database, + schema, + compression, + on_error, + quote_identifiers, + auto_create_table, + create_temp_table, + ) + + +def write_parquet( + conn: SnowflakeConnection, + path: Path, + dataset_schema: pyarrow.Schema, + table_name: str, + database: Optional[str] = None, + schema: Optional[str] = None, + compression: str = "gzip", + on_error: str = "abort_statement", + parallel: int = 4, + quote_identifiers: bool = True, + auto_create_table: bool = False, + create_temp_table: bool = False, +): + cursor: SnowflakeCursor = conn.cursor() + stage_name = create_temporary_sfc_stage(cursor) + + columns = [field.name for field in dataset_schema] + upload_local_pq(path, cursor, stage_name, parallel) + copy_uploaded_data_to_table( + cursor, + stage_name, + columns, + table_name, + database, + schema, + compression, + on_error, + quote_identifiers, + auto_create_table, + create_temp_table, + ) + + +def copy_uploaded_data_to_table( + cursor: SnowflakeCursor, + stage_name: str, + columns: List[str], + table_name: str, + database: Optional[str] = None, + schema: Optional[str] = None, + compression: str = "gzip", + on_error: str = "abort_statement", + quote_identifiers: bool = True, + auto_create_table: bool = False, + create_temp_table: bool = False, +): if database is not None and schema is None: raise ProgrammingError( "Schema has to be provided to write_pandas when a database is provided" @@ -163,37 +232,11 @@ def write_pandas( + (schema + "." if schema else "") + (table_name) ) - if chunk_size is None: - chunk_size = len(df) - cursor: SnowflakeCursor = conn.cursor() - stage_name = create_temporary_sfc_stage(cursor) - with TemporaryDirectory() as tmp_folder: - for i, chunk in chunk_helper(df, chunk_size): - chunk_path = os.path.join(tmp_folder, "file{}.txt".format(i)) - # Dump chunk into parquet file - chunk.to_parquet( - chunk_path, - compression=compression, - use_deprecated_int96_timestamps=True, - ) - # Upload parquet file - upload_sql = ( - "PUT /* Python:snowflake.connector.pandas_tools.write_pandas() */ " - "'file://{path}' @\"{stage_name}\" PARALLEL={parallel}" - ).format( - path=chunk_path.replace("\\", "\\\\").replace("'", "\\'"), - stage_name=stage_name, - parallel=parallel, - ) - logger.debug(f"uploading files with '{upload_sql}'") - cursor.execute(upload_sql, _is_internal=True) - # Remove chunk file - os.remove(chunk_path) if quote_identifiers: - columns = '"' + '","'.join(list(df.columns)) + '"' + quoted_columns = '"' + '","'.join(columns) + '"' else: - columns = ",".join(list(df.columns)) + quoted_columns = ",".join(columns) if auto_create_table: file_format_name = create_file_format(compression, compression_map, cursor) @@ -209,7 +252,7 @@ def write_pandas( # columns in order quote = '"' if quote_identifiers else "" create_table_columns = ", ".join( - [f"{quote}{c}{quote} {column_type_mapping[c]}" for c in df.columns] + [f"{quote}{c}{quote} {column_type_mapping[c]}" for c in columns] ) create_table_sql = ( f"CREATE {'TEMP ' if create_temp_table else ''}TABLE IF NOT EXISTS {location} " @@ -225,9 +268,9 @@ def write_pandas( # in Snowflake, all parquet data is stored in a single column, $1, so we must select columns explicitly # see (https://docs.snowflake.com/en/user-guide/script-data-load-transform-parquet.html) if quote_identifiers: - parquet_columns = "$1:" + ",$1:".join(f'"{c}"' for c in df.columns) + parquet_columns = "$1:" + ",$1:".join(f'"{c}"' for c in columns) else: - parquet_columns = "$1:" + ",$1:".join(df.columns) + parquet_columns = "$1:" + ",$1:".join(columns) copy_into_sql = ( "COPY INTO {location} /* Python:snowflake.connector.pandas_tools.write_pandas() */ " "({columns}) " @@ -236,7 +279,7 @@ def write_pandas( "PURGE=TRUE ON_ERROR={on_error}" ).format( location=location, - columns=columns, + columns=quoted_columns, parquet_columns=parquet_columns, stage_name=stage_name, compression=compression_map[compression], @@ -250,6 +293,78 @@ def write_pandas( result_cursor.close() +def upload_df( + df: pd.DataFrame, + cursor: SnowflakeCursor, + stage_name: str, + chunk_size: Optional[int] = None, + parallel: int = 4, + compression: str = "gzip", +): + """ + Args: + df: Dataframe we'd like to write back. + cursor: cursor to be used to communicate with Snowflake. + stage_name: stage name in Snowflake connection. + chunk_size: Number of elements to be inserted once, if not provided all elements will be dumped once + (Default value = None). + parallel: Number of threads to be used when uploading chunks, default follows documentation at: + https://docs.snowflake.com/en/sql-reference/sql/put.html#optional-parameters (Default value = 4). + compression: The compression used on the Parquet files, can only be gzip, or snappy. Gzip gives supposedly a + better compression, while snappy is faster. Use whichever is more appropriate (Default value = 'gzip'). + + """ + if chunk_size is None: + chunk_size = len(df) + + with TemporaryDirectory() as tmp_folder: + for i, chunk in chunk_helper(df, chunk_size): + chunk_path = os.path.join(tmp_folder, "file{}.txt".format(i)) + # Dump chunk into parquet file + chunk.to_parquet( + chunk_path, + compression=compression, + use_deprecated_int96_timestamps=True, + ) + # Upload parquet file + upload_sql = ( + "PUT /* Python:feast.infra.utils.snowflake_utils.upload_df() */ " + "'file://{path}' @\"{stage_name}\" PARALLEL={parallel}" + ).format( + path=chunk_path.replace("\\", "\\\\").replace("'", "\\'"), + stage_name=stage_name, + parallel=parallel, + ) + logger.debug(f"uploading files with '{upload_sql}'") + cursor.execute(upload_sql, _is_internal=True) + # Remove chunk file + os.remove(chunk_path) + + +def upload_local_pq( + path: Path, cursor: SnowflakeCursor, stage_name: str, parallel: int = 4, +): + """ + Args: + path: Path to parquet dataset on disk + cursor: cursor to be used to communicate with Snowflake. + stage_name: stage name in Snowflake connection. + parallel: Number of threads to be used when uploading chunks, default follows documentation at: + https://docs.snowflake.com/en/sql-reference/sql/put.html#optional-parameters (Default value = 4). + """ + for file in path.iterdir(): + upload_sql = ( + "PUT /* Python:feast.infra.utils.snowflake_utils.upload_local_pq() */ " + "'file://{path}' @\"{stage_name}\" PARALLEL={parallel}" + ).format( + path=str(file).replace("\\", "\\\\").replace("'", "\\'"), + stage_name=stage_name, + parallel=parallel, + ) + logger.debug(f"uploading files with '{upload_sql}'") + cursor.execute(upload_sql, _is_internal=True) + + @retry( wait=wait_exponential(multiplier=1, max=4), retry=retry_if_exception_type(ProgrammingError), diff --git a/sdk/python/tests/foo_provider.py b/sdk/python/tests/foo_provider.py index bccf7931b57..2d61c362734 100644 --- a/sdk/python/tests/foo_provider.py +++ b/sdk/python/tests/foo_provider.py @@ -1,4 +1,5 @@ from datetime import datetime +from pathlib import Path from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union import pandas @@ -84,7 +85,7 @@ def retrieve_saved_dataset(self, config: RepoConfig, dataset: SavedDataset): def write_feature_service_logs( self, feature_service: FeatureService, - logs: pyarrow.Table, + logs: Union[pyarrow.Table, Path], config: RepoConfig, registry: Registry, ): @@ -93,8 +94,8 @@ def write_feature_service_logs( def retrieve_feature_service_logs( self, feature_service: FeatureService, - from_: datetime, - to: datetime, + start_date: datetime, + end_date: datetime, config: RepoConfig, registry: Registry, ) -> RetrievalJob: diff --git a/sdk/python/tests/integration/e2e/test_go_feature_server.py b/sdk/python/tests/integration/e2e/test_go_feature_server.py index 325e185ce2c..a45a101f485 100644 --- a/sdk/python/tests/integration/e2e/test_go_feature_server.py +++ b/sdk/python/tests/integration/e2e/test_go_feature_server.py @@ -1,14 +1,20 @@ import socket import threading +import time from contextlib import closing +from datetime import datetime from typing import List import grpc +import pandas as pd import pytest +import pytz from feast import FeatureService, ValueType +from feast.embedded_go.lib.embedded import LoggingOptions from feast.embedded_go.online_features_service import EmbeddedOnlineFeatureServer from feast.feast_object import FeastObject +from feast.feature_logging import LoggingConfig from feast.protos.feast.serving.ServingService_pb2 import ( FieldStatus, GetOnlineFeaturesRequest, @@ -38,15 +44,22 @@ LOCAL_REPO_CONFIGS = [ IntegrationTestRepoConfig(online_store=REDIS_CONFIG, go_feature_retrieval=True), ] +LOCAL_REPO_CONFIGS = [ + c + for c in LOCAL_REPO_CONFIGS + if c.offline_store_creator in AVAILABLE_OFFLINE_STORES + and c.online_store in AVAILABLE_ONLINE_STORES +] + +NANOSECOND = 1 +MILLISECOND = 1000_000 * NANOSECOND +SECOND = 1000 * MILLISECOND @pytest.fixture( - params=[ - c - for c in LOCAL_REPO_CONFIGS - if c.offline_store_creator in AVAILABLE_OFFLINE_STORES - and c.online_store in AVAILABLE_ONLINE_STORES - ] + params=LOCAL_REPO_CONFIGS, + ids=[str(c) for c in LOCAL_REPO_CONFIGS], + scope="session", ) def local_environment(request): e = construct_test_environment(request.param) @@ -58,15 +71,25 @@ def cleanup(): return e -@pytest.fixture -def initialized_registry(local_environment): +@pytest.fixture(scope="session") +def test_data(local_environment): + return construct_universal_test_data(local_environment) + + +@pytest.fixture(scope="session") +def initialized_registry(local_environment, test_data): fs = local_environment.feature_store - entities, datasets, data_sources = construct_universal_test_data(local_environment) + _, _, data_sources = test_data feature_views = construct_universal_feature_views(data_sources) feature_service = FeatureService( - name="driver_features", features=[feature_views.driver] + name="driver_features", + features=[feature_views.driver], + logging_config=LoggingConfig( + destination=local_environment.data_source_creator.create_logged_features_destination(), + sample_rate=1.0, + ), ) feast_objects: List[FeastObject] = [feature_service] feast_objects.extend(feature_views.values()) @@ -85,7 +108,19 @@ def grpc_server_port(local_environment, initialized_registry): ) port = free_port() - t = threading.Thread(target=embedded.start_grpc_server, args=("127.0.0.1", port)) + t = threading.Thread( + target=embedded.start_grpc_server, + args=("127.0.0.1", port), + kwargs=dict( + enable_logging=True, + logging_options=LoggingOptions( + ChannelCapacity=100, + WriteInterval=100 * MILLISECOND, + FlushInterval=1 * SECOND, + EmitTimeout=10 * MILLISECOND, + ), + ), + ) t.start() wait_retry_backoff( @@ -94,6 +129,8 @@ def grpc_server_port(local_environment, initialized_registry): yield port embedded.stop_grpc_server() + # wait for graceful stop + time.sleep(2) @pytest.fixture @@ -128,6 +165,69 @@ def test_go_grpc_server(grpc_client): assert all([s == FieldStatus.PRESENT for s in vector.statuses]) +@pytest.mark.integration +@pytest.mark.universal +@pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) +def test_feature_logging(grpc_client, local_environment, test_data, full_feature_names): + fs = local_environment.feature_store + feature_service = fs.get_feature_service("driver_features") + log_start_date = datetime.now().astimezone(pytz.UTC) + driver_ids = list(range(5001, 5011)) + + for driver_id in driver_ids: + # send each driver id in separate request + grpc_client.GetOnlineFeatures( + GetOnlineFeaturesRequest( + feature_service="driver_features", + entities={ + "driver_id": RepeatedValue( + val=python_values_to_proto_values( + [driver_id], feature_type=ValueType.INT64 + ) + ) + }, + full_feature_names=full_feature_names, + ) + ) + # with some pause + time.sleep(0.1) + + _, datasets, _ = test_data + latest_rows = get_latest_rows(datasets.driver_df, "driver_id", driver_ids) + features = [ + feature.name + for proj in feature_service.feature_view_projections + for feature in proj.features + ] + expected_logs = generate_expected_logs( + latest_rows, "driver_stats", features, ["driver_id"], "event_timestamp" + ) + + def retrieve(): + retrieval_job = fs._get_provider().retrieve_feature_service_logs( + feature_service=feature_service, + start_date=log_start_date, + end_date=datetime.now().astimezone(pytz.UTC), + config=fs.config, + registry=fs._registry, + ) + try: + df = retrieval_job.to_df() + except Exception: + # Table or directory was not created yet + return None, False + + return df, df.shape[0] == len(driver_ids) + + persisted_logs = wait_retry_backoff( + retrieve, timeout_secs=60, timeout_msg="Logs retrieval failed" + ) + + persisted_logs = persisted_logs.sort_values(by="driver_id").reset_index(drop=True) + persisted_logs = persisted_logs[expected_logs.columns] + pd.testing.assert_frame_equal(expected_logs, persisted_logs, check_dtype=False) + + def free_port(): sock = socket.socket() sock.bind(("", 0)) @@ -137,3 +237,23 @@ def free_port(): def check_port_open(host, port) -> bool: with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as sock: return sock.connect_ex((host, port)) == 0 + + +def get_latest_rows(df, join_key, entity_values): + rows = df[df[join_key].isin(entity_values)] + return rows.loc[rows.groupby(join_key)["event_timestamp"].idxmax()] + + +def generate_expected_logs( + df, feature_view_name, features, join_keys, timestamp_column +): + logs = pd.DataFrame() + for join_key in join_keys: + logs[join_key] = df[join_key] + + for feature in features: + logs[f"{feature_view_name}__{feature}"] = df[feature] + logs[f"{feature_view_name}__{feature}__timestamp"] = df[timestamp_column] + logs[f"{feature_view_name}__{feature}__status"] = FieldStatus.PRESENT + + return logs.sort_values(by=join_keys).reset_index(drop=True) diff --git a/sdk/python/tests/integration/offline_store/test_feature_logging.py b/sdk/python/tests/integration/offline_store/test_feature_logging.py index f15eb8a8499..6dda2e63a9d 100644 --- a/sdk/python/tests/integration/offline_store/test_feature_logging.py +++ b/sdk/python/tests/integration/offline_store/test_feature_logging.py @@ -1,8 +1,13 @@ +import contextlib import datetime +import tempfile import uuid +from pathlib import Path +from typing import Iterator, Union import numpy as np import pandas as pd +import pyarrow import pyarrow as pa import pytest from google.api_core.exceptions import NotFound @@ -27,7 +32,8 @@ @pytest.mark.integration @pytest.mark.universal -def test_feature_service_logging(environment, universal_data_sources): +@pytest.mark.parametrize("pass_as_path", [True, False], ids=lambda v: str(v)) +def test_feature_service_logging(environment, universal_data_sources, pass_as_path): store = environment.feature_store (_, datasets, data_sources) = universal_data_sources @@ -50,21 +56,23 @@ def test_feature_service_logging(environment, universal_data_sources): ), ) - num_rows = logs_df.shape[0] - first_batch = logs_df.iloc[: num_rows // 2, :] - second_batch = logs_df.iloc[num_rows // 2 :, :] - schema = FeatureServiceLoggingSource( feature_service=feature_service, project=store.project ).get_schema(store._registry) - store.write_logged_features( - source=feature_service, logs=pa.Table.from_pandas(first_batch, schema=schema), - ) + num_rows = logs_df.shape[0] + first_batch = pa.Table.from_pandas(logs_df.iloc[: num_rows // 2, :], schema=schema) + second_batch = pa.Table.from_pandas(logs_df.iloc[num_rows // 2 :, :], schema=schema) - store.write_logged_features( - source=feature_service, logs=pa.Table.from_pandas(second_batch, schema=schema), - ) + with to_logs_dataset(first_batch, pass_as_path) as logs: + store.write_logged_features( + source=feature_service, logs=logs, + ) + + with to_logs_dataset(second_batch, pass_as_path) as logs: + store.write_logged_features( + source=feature_service, logs=logs, + ) expected_columns = list(set(logs_df.columns) - {LOG_DATE_FIELD}) def retrieve(): @@ -122,3 +130,16 @@ def prepare_logs(datasets: UniversalDatasets) -> pd.DataFrame: logs_df[f"{view}__{feature}__status"] = FieldStatus.PRESENT return logs_df + + +@contextlib.contextmanager +def to_logs_dataset( + table: pyarrow.Table, pass_as_path: bool +) -> Iterator[Union[pyarrow.Table, Path]]: + if not pass_as_path: + yield table + return + + with tempfile.TemporaryDirectory() as temp_dir: + pyarrow.parquet.write_to_dataset(table, root_path=temp_dir) + yield Path(temp_dir) From d59a91c19d5170f98637563b046dcabbc24f16ae Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Tue, 3 May 2022 12:19:30 -0700 Subject: [PATCH 45/87] chore: Update python packaging to use build to produce sdists/wheels (#2630) * chore: Update python packaging to use build and produce sdists/wheels Signed-off-by: Achal Shah * D'oh Signed-off-by: Achal Shah * fix path Signed-off-by: Achal Shah * fix path Signed-off-by: Achal Shah * fix path again Signed-off-by: Achal Shah * fix Dockerfile Signed-off-by: Achal Shah * invoke build_ext in build Signed-off-by: Achal Shah * fix src_dir and dest_dir Signed-off-by: Achal Shah * fix dockerfiles Signed-off-by: Achal Shah * CR Signed-off-by: Achal Shah --- MANIFEST.in | 6 +++ Makefile | 20 ++++----- sdk/python/pyproject.toml => pyproject.toml | 0 sdk/python/README.md | 0 .../feature_servers/aws_lambda/Dockerfile | 4 +- .../feature_servers/gcp_cloudrun/Dockerfile | 4 +- setup.cfg | 22 ++++++++++ sdk/python/setup.py => setup.py | 41 +++++++++++-------- 8 files changed, 69 insertions(+), 28 deletions(-) create mode 100644 MANIFEST.in rename sdk/python/pyproject.toml => pyproject.toml (100%) create mode 100644 sdk/python/README.md create mode 100644 setup.cfg rename sdk/python/setup.py => setup.py (92%) diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 00000000000..55e7aac3ec8 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,6 @@ +prune sdk/python/tests +prune ui +prune java/ +prune docs +prune infra +prune examples \ No newline at end of file diff --git a/Makefile b/Makefile index a808e3f4fb1..0ee6fcb6857 100644 --- a/Makefile +++ b/Makefile @@ -37,24 +37,24 @@ build: protos build-java build-docker # Python SDK install-python-ci-dependencies: install-go-proto-dependencies install-go-ci-dependencies - cd sdk/python && python -m piptools sync requirements/py$(PYTHON)-ci-requirements.txt - cd sdk/python && COMPILE_GO=true python setup.py develop + python -m piptools sync sdk/python/requirements/py$(PYTHON)-ci-requirements.txt + COMPILE_GO=true python setup.py develop lock-python-ci-dependencies: - cd sdk/python && python -m piptools compile -U --extra ci --output-file requirements/py$(PYTHON)-ci-requirements.txt + python -m piptools compile -U --extra ci --output-file sdk/python/requirements/py$(PYTHON)-ci-requirements.txt package-protos: cp -r ${ROOT_DIR}/protos ${ROOT_DIR}/sdk/python/feast/protos compile-protos-python: - cd sdk/python && python setup.py build_python_protos + python setup.py build_python_protos install-python: - cd sdk/python && python -m piptools sync requirements/py$(PYTHON)-requirements.txt - cd sdk/python && python setup.py develop + python -m piptools sync sdk/python/requirements/py$(PYTHON)-requirements.txt + python setup.py develop lock-python-dependencies: - cd sdk/python && python -m piptools compile -U --output-file requirements/py$(PYTHON)-requirements.txt + python -m piptools compile -U --output-file sdk/python/requirements/py$(PYTHON)-requirements.txt benchmark-python: FEAST_USAGE=False IS_TEST=True python -m pytest --integration --benchmark --benchmark-autosave --benchmark-save-data sdk/python/tests @@ -164,14 +164,14 @@ install-protoc-dependencies: pip install grpcio-tools==1.44.0 mypy-protobuf==3.1.0 compile-protos-go: install-go-proto-dependencies install-protoc-dependencies - cd sdk/python && python setup.py build_go_protos + python setup.py build_go_protos compile-go-lib: install-go-proto-dependencies install-go-ci-dependencies - cd sdk/python && COMPILE_GO=True python setup.py build_ext --inplace + COMPILE_GO=True python setup.py build_ext --inplace # Needs feast package to setup the feature store test-go: compile-protos-go - pip install -e "sdk/python[ci]" + pip install -e ".[ci]" go test ./... format-go: diff --git a/sdk/python/pyproject.toml b/pyproject.toml similarity index 100% rename from sdk/python/pyproject.toml rename to pyproject.toml diff --git a/sdk/python/README.md b/sdk/python/README.md new file mode 100644 index 00000000000..e69de29bb2d diff --git a/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile b/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile index 0c342a77ce4..cf86218d584 100644 --- a/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile +++ b/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile @@ -7,12 +7,14 @@ COPY sdk/python/feast/infra/feature_servers/aws_lambda/app.py ${LAMBDA_TASK_ROOT COPY sdk/python sdk/python COPY protos protos COPY go go +COPY setup.py setup.py +COPY pyproject.toml pyproject.toml COPY README.md README.md # Install Feast for AWS with Lambda dependencies # TODO(felixwang9817): Remove Snowflake dependencies once lazy loading of offline stores is supported. # See https://github.com/feast-dev/feast/issues/2566 for more details. -RUN pip3 install -e 'sdk/python[aws,redis,snowflake]' +RUN pip3 install -e '.[aws,redis,snowflake]' RUN pip3 install -r sdk/python/feast/infra/feature_servers/aws_lambda/requirements.txt --target "${LAMBDA_TASK_ROOT}" # Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile) diff --git a/sdk/python/feast/infra/feature_servers/gcp_cloudrun/Dockerfile b/sdk/python/feast/infra/feature_servers/gcp_cloudrun/Dockerfile index b4e1e4adb97..e0e16f6a14f 100644 --- a/sdk/python/feast/infra/feature_servers/gcp_cloudrun/Dockerfile +++ b/sdk/python/feast/infra/feature_servers/gcp_cloudrun/Dockerfile @@ -13,11 +13,13 @@ COPY sdk/python/feast/infra/feature_servers/gcp_cloudrun/app.py ./app.py # Copy necessary parts of the Feast codebase COPY sdk/python ./sdk/python COPY protos ./protos +COPY setup.py setup.py +COPY pyproject.toml pyproject.toml COPY README.md ./README.md # Install production dependencies. RUN pip install --no-cache-dir \ - -e 'sdk/python[gcp,redis]' \ + -e '.[gcp,redis]' \ -r ./sdk/python/feast/infra/feature_servers/gcp_cloudrun/requirements.txt # Run the web service on container startup. Here we use the gunicorn diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 00000000000..e2d707e2720 --- /dev/null +++ b/setup.cfg @@ -0,0 +1,22 @@ +[isort] +src_paths = feast,tests +multi_line_output=3 +include_trailing_comma=True +force_grid_wrap=0 +use_parentheses=True +line_length=88 +skip=feast/protos,feast/embedded_go/lib +known_first_party=feast,feast_serving_server,feast_core_server +default_section=THIRDPARTY + +[flake8] +ignore = E203, E266, E501, W503 +max-line-length = 88 +max-complexity = 20 +select = B,C,E,F,W,T4 +exclude = .git,__pycache__,docs/conf.py,dist,feast/protos,feast/embedded_go/lib + +[mypy] +files=feast,tests +ignore_missing_imports=true +exclude=feast/embedded_go/lib diff --git a/sdk/python/setup.py b/setup.py similarity index 92% rename from sdk/python/setup.py rename to setup.py index c9e9889d74d..1ecc3df8209 100644 --- a/sdk/python/setup.py +++ b/setup.py @@ -57,7 +57,7 @@ "Jinja2>=2.0.0", "jsonschema", "mmh3", - "numpy<1.22", # 1.22 drops support for python 3.7. + "numpy<1.22", "pandas>=1.0.0", "pandavro==1.5.*", "protobuf>=3.10,<3.20", @@ -124,6 +124,7 @@ CI_REQUIRED = ( [ + "build", "cryptography==3.4.8", "flake8", "black==19.10b0", @@ -179,7 +180,7 @@ DEV_REQUIRED = ["mypy-protobuf==3.1", "grpcio-testing==1.*"] + CI_REQUIRED # Get git repo root directory -repo_root = str(pathlib.Path(__file__).resolve().parent.parent.parent) +repo_root = str(pathlib.Path(__file__).resolve().parent) # README file from Feast repo root directory README_FILE = os.path.join(repo_root, "README.md") @@ -195,11 +196,12 @@ # Only set use_scm_version if git executable exists (setting this variable causes pip to use git under the hood) if shutil.which("git"): - use_scm_version = {"root": "../..", "relative_to": __file__, "tag_regex": TAG_REGEX} + use_scm_version = {"root": ".", "relative_to": __file__, "tag_regex": TAG_REGEX} else: use_scm_version = None PROTO_SUBDIRS = ["core", "serving", "types", "storage"] +PYTHON_CODE_PREFIX = "sdk/python" class BuildPythonProtosCommand(Command): @@ -214,7 +216,7 @@ def initialize_options(self): ] # find_executable("protoc") self.proto_folder = os.path.join(repo_root, "protos") self.python_folder = os.path.join( - os.path.dirname(__file__) or os.getcwd(), "feast/protos" + os.path.dirname(__file__) or os.getcwd(), "sdk/python/feast/protos" ) self.sub_folders = PROTO_SUBDIRS @@ -223,7 +225,7 @@ def finalize_options(self): def _generate_python_protos(self, path: str): proto_files = glob.glob(os.path.join(self.proto_folder, path)) - Path(self.python_folder).mkdir(exist_ok=True) + Path(self.python_folder).mkdir(parents=True, exist_ok=True) subprocess.check_call( self.python_protoc + [ @@ -244,19 +246,17 @@ def run(self): self._generate_python_protos(f"feast/{sub_folder}/*.proto") # We need the __init__ files for each of the generated subdirs # so that they are regular packages, and don't need the `--namespace-packages` flags - # when being typechecked using mypy. BUT, we need to exclude `types` because that clashes - # with an existing module in the python standard library. - if sub_folder == "types": - continue + # when being typechecked using mypy. with open(f"{self.python_folder}/feast/{sub_folder}/__init__.py", 'w'): pass + with open(f"{self.python_folder}/__init__.py", 'w'): pass with open(f"{self.python_folder}/feast/__init__.py", 'w'): pass - for path in Path("feast/protos").rglob("*.py"): + for path in Path(self.python_folder).rglob("*.py"): for folder in self.sub_folders: # Read in the file with open(path, "r") as file: @@ -355,6 +355,7 @@ class BuildCommand(build_py): def run(self): self.run_command("build_python_protos") + self.run_command("build_ext") if os.getenv("COMPILE_GO", "false").lower() == "true": _ensure_go_and_proto_toolchain() self.run_command("build_go_protos") @@ -421,10 +422,17 @@ def copy_extensions_to_source(self): modpath = fullname.split('.') package = '.'.join(modpath[:-1]) package_dir = build_py.get_package_dir(package) - src = os.path.join(self.build_lib, package_dir) + + src_dir = dest_dir = package_dir + + if src_dir.startswith(PYTHON_CODE_PREFIX): + src_dir = package_dir[len(PYTHON_CODE_PREFIX):] + src_dir = src_dir.lstrip("/") + + src_dir = os.path.join(self.build_lib, src_dir) # copy whole directory - copy_tree(src, package_dir) + copy_tree(src_dir, dest_dir) setup( @@ -435,7 +443,8 @@ def copy_extensions_to_source(self): long_description_content_type="text/markdown", python_requires=REQUIRES_PYTHON, url=URL, - packages=find_packages(exclude=("tests",)), + packages=find_packages(where=PYTHON_CODE_PREFIX, exclude=("java", "infra", "sdk/python/tests", "ui")), + package_dir={"": PYTHON_CODE_PREFIX}, install_requires=REQUIRED, # https://stackoverflow.com/questions/28509965/setuptools-development-requirements # Install dev requirements with: pip install -e .[dev] @@ -474,9 +483,9 @@ def copy_extensions_to_source(self): ], package_data={ "": [ - "protos/feast/**/*.proto", - "protos/feast/third_party/grpc/health/v1/*.proto", - "feast/protos/feast/**/*.py", + "sdk/python/**/*.proto", + "sdk/python/**/*.py", + "protos/**/*.proto", ], }, cmdclass={ From cef4d3cc713c53137ea0080d7a387dc8202ef7d5 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Wed, 4 May 2022 10:50:32 -0700 Subject: [PATCH 46/87] chore: Fix Dockerfiles to install feast correctly (#2635) * chore: Fix Dockerfiles to install feast correctly Also removes an unsued python script since we use the pypa/gh-action-pypi-publish action to build and publish wheels now. Signed-off-by: Achal Shah * more fixes Signed-off-by: Achal Shah * add a verify step before we publish to pypi wheel Signed-off-by: Achal Shah * more fixes Signed-off-by: Achal Shah --- .github/workflows/publish.yml | 28 ++++++++--- CONTRIBUTING.md | 2 +- infra/scripts/publish-python-sdk.sh | 47 ------------------- .../docker-compose/feast10/Dockerfile | 2 +- sdk/python/feast/infra/aws.py | 2 +- .../infra/transformation_servers/Dockerfile | 6 ++- ui/feature_repo/README.md | 2 +- 7 files changed, 30 insertions(+), 59 deletions(-) delete mode 100755 infra/scripts/publish-python-sdk.sh diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 763cb52d0be..fd0f8082500 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -127,7 +127,7 @@ jobs: publish-python-sdk: runs-on: ubuntu-latest - needs: [build-python-sdk, build-python-sdk-macos-py310] + needs: [verify-python-wheel] steps: - uses: actions/download-artifact@v2 with: @@ -139,20 +139,35 @@ jobs: password: ${{ secrets.PYPI_PASSWORD }} + verify-python-wheel: + runs-on: ubuntu-latest + needs: [build-python-sdk, build-python-sdk-macos-py310] + steps: + - name: Setup Python + id: setup-python + uses: actions/setup-python@v2 + with: + python-version: "3.8" + architecture: x64 + - uses: actions/download-artifact@v2 + with: + name: wheels + path: dist + - name: Install wheel + run: pip install dist/*38*linux*.whl + - name: Install sdist + run: pip install dist/*tar.gz + build-python-sdk: name: Build wheels on ${{ matrix.os }} runs-on: ${{ matrix.os }} strategy: matrix: os: [ ubuntu-latest, macos-10.15 ] - steps: - uses: actions/checkout@v2 - - name: Build wheels uses: pypa/cibuildwheel@v2.4.0 - with: - package-dir: sdk/python env: CIBW_BUILD: "cp3*_x86_64" CIBW_SKIP: "cp36-* *-musllinux_x86_64 cp310-macosx_x86_64" @@ -195,13 +210,12 @@ jobs: make install-go-ci-dependencies - name: Build run: | - cd sdk/python python3 setup.py sdist bdist_wheel - uses: actions/upload-artifact@v2 with: name: wheels - path: sdk/python/dist/* + path: dist/* publish-java-sdk: diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 05dc1e3edaa..249ea5afcec 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -91,7 +91,7 @@ pip install --upgrade pip 4. Install development dependencies for Feast Python SDK / CLI ```sh -pip install -e "sdk/python[dev]" +pip install -e ".[dev]" ``` ### Code Style & Linting diff --git a/infra/scripts/publish-python-sdk.sh b/infra/scripts/publish-python-sdk.sh deleted file mode 100755 index 582d9072b2a..00000000000 --- a/infra/scripts/publish-python-sdk.sh +++ /dev/null @@ -1,47 +0,0 @@ -#!/usr/bin/env bash - -set -e -set -o pipefail - -usage() -{ - echo "usage: publish-python-sdk.sh - - --directory-path absolute path to the python package, this directory - should contain 'setup.py' file - - --repository the repository name where the package will be uploaded, - check your .pypirc configuration file for the list of - valid repositories, usually it's 'pypi' or 'testpypi' -" -} - -while [ "$1" != "" ]; do - case "$1" in - --directory-path ) DIRECTORY_PATH="$2"; shift;; - --repository ) REPOSITORY="$2"; shift;; - -h | --help ) usage; exit;; - * ) usage; exit 1 - esac - shift -done - -if [ -z $DIRECTORY_PATH ]; then usage; exit 1; fi -if [ -z $REPOSITORY ]; then usage; exit 1; fi - -ORIGINAL_DIR=$PWD -cd $DIRECTORY_PATH - -echo "============================================================" -echo "Generating distribution archives" -echo "============================================================" -python3 -m pip install --user --upgrade setuptools wheel -python3 setup.py sdist bdist_wheel - -echo "============================================================" -echo "Uploading distribution archives" -echo "============================================================" -python3 -m pip install --user --upgrade twine -python3 -m twine upload --repository $REPOSITORY dist/* - -cd $ORIGINAL_DIR diff --git a/java/serving/src/test/resources/docker-compose/feast10/Dockerfile b/java/serving/src/test/resources/docker-compose/feast10/Dockerfile index df14bb592b4..5a2291af15c 100644 --- a/java/serving/src/test/resources/docker-compose/feast10/Dockerfile +++ b/java/serving/src/test/resources/docker-compose/feast10/Dockerfile @@ -6,7 +6,7 @@ COPY requirements.txt ./ RUN pip install --no-cache-dir -r requirements.txt RUN git clone https://github.com/feast-dev/feast.git /root/feast -RUN cd /root/feast/sdk/python && pip install -e '.[redis]' +RUN cd /root/feast/ && pip install -e '.[redis]' WORKDIR /app COPY . . diff --git a/sdk/python/feast/infra/aws.py b/sdk/python/feast/infra/aws.py index b7cc61de0e5..14301faf192 100644 --- a/sdk/python/feast/infra/aws.py +++ b/sdk/python/feast/infra/aws.py @@ -347,7 +347,7 @@ def _get_docker_image_version() -> str: f"version {get_version()}. If you want to update the Feast SDK version, make " "sure to first fetch all new release tags from Github and then reinstall the library:\n" "> git fetch --all --tags\n" - "> pip install -e sdk/python" + "> pip install -e '.'" ) return version diff --git a/sdk/python/feast/infra/transformation_servers/Dockerfile b/sdk/python/feast/infra/transformation_servers/Dockerfile index 79997ce01b0..ff276c7a70d 100644 --- a/sdk/python/feast/infra/transformation_servers/Dockerfile +++ b/sdk/python/feast/infra/transformation_servers/Dockerfile @@ -6,10 +6,14 @@ COPY sdk/python/feast/infra/transformation_servers/app.py app.py # Copy necessary parts of the Feast codebase COPY sdk/python sdk/python COPY protos protos +COPY go go +COPY setup.py setup.py +COPY pyproject.toml pyproject.toml COPY README.md README.md + # Install dependencies -RUN pip3 install -e 'sdk/python' +RUN pip3 install -e '.' # Start feature transformation server CMD [ "python", "app.py" ] diff --git a/ui/feature_repo/README.md b/ui/feature_repo/README.md index db706e709e4..de4bc1f4dc7 100644 --- a/ui/feature_repo/README.md +++ b/ui/feature_repo/README.md @@ -18,7 +18,7 @@ git clone https://github.com/feast-dev/feast.git Install a dev build of feast ```bash cd feast -pip install -e "sdk/python[dev]" +pip install -e ".[dev]" ``` Then for this demo, you'll actually need to fix a bug by adding this to `type_map.py#L144`: From 737c4889cd7cd041beb60fa330f2656327c5e3d2 Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Wed, 4 May 2022 11:25:30 -0700 Subject: [PATCH 47/87] chore: Deprecate value type (#2611) * Switch `entities` from List[str] to List[Entity] Signed-off-by: Felix Wang * Remove `value_type` from SDK Signed-off-by: Felix Wang * Remove `value_type` from tests Signed-off-by: Felix Wang * Deprecate `value_type` parameter for Entity Signed-off-by: Felix Wang * Add fields for entities to avoid type inference after removing `value_type` Signed-off-by: Felix Wang * Fix Go Signed-off-by: Felix Wang * Fix type inference Signed-off-by: Felix Wang * Another fix Signed-off-by: Felix Wang * Another fix Signed-off-by: Felix Wang * Rename Entities to EntityNames in go Signed-off-by: Felix Wang * Rename lookup Signed-off-by: Felix Wang * Rename Feature to Field Signed-off-by: Felix Wang * Clean up inference Signed-off-by: Felix Wang * Refactor Signed-off-by: Felix Wang * Use old `value_type` attribute if it still exists Signed-off-by: Felix Wang * Refactor Signed-off-by: Felix Wang * Add TODO Signed-off-by: Felix Wang --- .../java-demo/feature_repo/driver_repo.py | 4 +- go/embedded/online_features.go | 22 +- go/internal/feast/featurestore.go | 4 +- go/internal/feast/model/basefeatureview.go | 8 +- go/internal/feast/model/entity.go | 12 +- go/internal/feast/model/featureview.go | 32 +-- .../feast/model/featureviewprojection.go | 6 +- .../feast/model/{feature.go => field.go} | 7 +- go/internal/feast/onlineserving/serving.go | 4 +- .../feast/onlineserving/serving_test.go | 22 +- .../server/logging/featureserviceschema.go | 9 +- .../logging/featureserviceschema_test.go | 39 ++-- go/internal/test/go_integration_test_utils.go | 24 +-- protos/feast/core/FeatureView.proto | 10 +- sdk/python/feast/entity.py | 28 ++- sdk/python/feast/feature_logging.py | 10 +- sdk/python/feast/feature_store.py | 38 ++-- sdk/python/feast/feature_view.py | 94 ++++++--- sdk/python/feast/inference.py | 191 +++++++++--------- sdk/python/feast/infra/offline_stores/file.py | 5 +- .../infra/offline_stores/offline_utils.py | 16 +- sdk/python/feast/infra/online_stores/redis.py | 6 +- .../feast/infra/passthrough_provider.py | 9 +- sdk/python/feast/infra/provider.py | 2 +- sdk/python/feast/on_demand_feature_view.py | 6 +- sdk/python/feast/templates/aws/driver_repo.py | 6 +- sdk/python/feast/templates/gcp/driver_repo.py | 6 +- sdk/python/feast/templates/hbase/example.py | 4 +- sdk/python/feast/templates/local/example.py | 6 +- .../feast/templates/postgres/driver_repo.py | 2 +- .../feast/templates/snowflake/driver_repo.py | 2 +- sdk/python/feast/templates/spark/example.py | 12 +- sdk/python/tests/data/data_creator.py | 20 +- sdk/python/tests/doctest/test_all.py | 8 +- .../example_repos/example_feature_repo_1.py | 34 ++-- .../example_repos/example_feature_repo_2.py | 7 +- ..._repo_with_duplicated_featureview_names.py | 8 +- ...ample_feature_repo_with_entity_join_key.py | 11 +- .../tests/integration/e2e/test_usage_e2e.py | 4 +- .../feature_repos/universal/entities.py | 11 +- .../feature_repos/universal/feature_views.py | 52 +++-- .../offline_store/test_feature_logging.py | 8 +- .../test_universal_historical_retrieval.py | 5 +- .../online_store/test_universal_online.py | 6 +- .../registration/test_feature_store.py | 66 +++--- .../registration/test_inference.py | 61 +----- .../integration/registration/test_registry.py | 40 ++-- .../registration/test_universal_types.py | 65 ++++-- .../scaffolding/test_partial_apply.py | 6 +- .../tests/unit/diff/test_registry_diff.py | 17 +- sdk/python/tests/unit/infra/test_provider.py | 5 +- sdk/python/tests/unit/test_entity.py | 31 ++- sdk/python/tests/unit/test_feature_view.py | 4 + .../tests/unit/test_unit_feature_store.py | 2 +- .../tests/utils/online_write_benchmark.py | 6 +- 55 files changed, 583 insertions(+), 540 deletions(-) rename go/internal/feast/model/{feature.go => field.go} (63%) diff --git a/examples/java-demo/feature_repo/driver_repo.py b/examples/java-demo/feature_repo/driver_repo.py index c91e5a40bed..e17a5d9cf89 100644 --- a/examples/java-demo/feature_repo/driver_repo.py +++ b/examples/java-demo/feature_repo/driver_repo.py @@ -7,14 +7,14 @@ from google.protobuf.duration_pb2 import Duration from feast.field import Field -from feast import Entity, Feature, BatchFeatureView, FileSource, ValueType +from feast import Entity, Feature, BatchFeatureView, FileSource driver_hourly_stats = FileSource( path="data/driver_stats_with_string.parquet", timestamp_field="event_timestamp", created_timestamp_column="created", ) -driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id",) +driver = Entity(name="driver_id", description="driver id",) driver_hourly_stats_view = BatchFeatureView( name="driver_hourly_stats", entities=["driver_id"], diff --git a/go/embedded/online_features.go b/go/embedded/online_features.go index 7cd1e4ed815..710f60dca8e 100644 --- a/go/embedded/online_features.go +++ b/go/embedded/online_features.go @@ -80,12 +80,6 @@ func (s *OnlineFeatureService) GetEntityTypesMap(featureRefs []string) (map[stri viewNames[viewName] = nil } - entities, _ := s.fs.ListEntities(true) - entitiesByName := make(map[string]*model.Entity) - for _, entity := range entities { - entitiesByName[entity.Name] = entity - } - joinKeyTypes := make(map[string]int32) for viewName := range viewNames { @@ -94,9 +88,8 @@ func (s *OnlineFeatureService) GetEntityTypesMap(featureRefs []string) (map[stri // skip on demand feature views continue } - for _, entityName := range view.Entities { - entity := entitiesByName[entityName] - joinKeyTypes[entity.JoinKey] = int32(entity.ValueType.Number()) + for _, entityColumn := range view.EntityColumns { + joinKeyTypes[entityColumn.Name] = int32(entityColumn.Dtype.Number()) } } @@ -111,21 +104,14 @@ func (s *OnlineFeatureService) GetEntityTypesMapByFeatureService(featureServiceN joinKeyTypes := make(map[string]int32) - entities, _ := s.fs.ListEntities(true) - entitiesByName := make(map[string]*model.Entity) - for _, entity := range entities { - entitiesByName[entity.Name] = entity - } - for _, projection := range featureService.Projections { view, err := s.fs.GetFeatureView(projection.Name, true) if err != nil { // skip on demand feature views continue } - for _, entityName := range view.Entities { - entity := entitiesByName[entityName] - joinKeyTypes[entity.JoinKey] = int32(entity.ValueType.Number()) + for _, entityColumn := range view.EntityColumns { + joinKeyTypes[entityColumn.Name] = int32(entityColumn.Dtype.Number()) } } diff --git a/go/internal/feast/featurestore.go b/go/internal/feast/featurestore.go index 4ecd781b746..b0fc987fb46 100644 --- a/go/internal/feast/featurestore.go +++ b/go/internal/feast/featurestore.go @@ -132,7 +132,7 @@ func (fs *FeatureStore) GetOnlineFeatures( if entitylessCase { dummyEntityColumn := &prototypes.RepeatedValue{Val: make([]*prototypes.Value, numRows)} for index := 0; index < numRows; index++ { - dummyEntityColumn.Val[index] = &model.DUMMY_ENTITY + dummyEntityColumn.Val[index] = &model.DUMMY_ENTITY_VALUE } joinKeyToEntityValues[model.DUMMY_ENTITY_ID] = dummyEntityColumn } @@ -272,7 +272,7 @@ func (fs *FeatureStore) GetFeatureView(featureViewName string, hideDummyEntity b return nil, err } if fv.HasEntity(model.DUMMY_ENTITY_NAME) && hideDummyEntity { - fv.Entities = []string{} + fv.EntityNames = []string{} } return fv, nil } diff --git a/go/internal/feast/model/basefeatureview.go b/go/internal/feast/model/basefeatureview.go index 28ef7231fd5..1bdf614c25a 100644 --- a/go/internal/feast/model/basefeatureview.go +++ b/go/internal/feast/model/basefeatureview.go @@ -8,15 +8,15 @@ import ( type BaseFeatureView struct { Name string - Features []*Feature + Features []*Field Projection *FeatureViewProjection } func NewBaseFeatureView(name string, featureProtos []*core.FeatureSpecV2) *BaseFeatureView { base := &BaseFeatureView{Name: name} - features := make([]*Feature, len(featureProtos)) + features := make([]*Field, len(featureProtos)) for index, featureSpecV2 := range featureProtos { - features[index] = NewFeatureFromProto(featureSpecV2) + features[index] = NewFieldFromProto(featureSpecV2) } base.Features = features base.Projection = NewFeatureViewProjectionFromDefinition(base) @@ -43,7 +43,7 @@ func (fv *BaseFeatureView) WithProjection(projection *FeatureViewProjection) (*B } func (fv *BaseFeatureView) ProjectWithFeatures(featureNames []string) *FeatureViewProjection { - features := make([]*Feature, 0) + features := make([]*Field, 0) for _, feature := range fv.Features { for _, allowedFeatureName := range featureNames { if feature.Name == allowedFeatureName { diff --git a/go/internal/feast/model/entity.go b/go/internal/feast/model/entity.go index ac3a5d5f26e..5a09edb6557 100644 --- a/go/internal/feast/model/entity.go +++ b/go/internal/feast/model/entity.go @@ -2,18 +2,16 @@ package model import ( "github.com/feast-dev/feast/go/protos/feast/core" - "github.com/feast-dev/feast/go/protos/feast/types" ) type Entity struct { - Name string - ValueType types.ValueType_Enum - JoinKey string + Name string + JoinKey string } func NewEntityFromProto(proto *core.Entity) *Entity { - return &Entity{Name: proto.Spec.Name, - ValueType: proto.Spec.ValueType, - JoinKey: proto.Spec.JoinKey, + return &Entity{ + Name: proto.Spec.Name, + JoinKey: proto.Spec.JoinKey, } } diff --git a/go/internal/feast/model/featureview.go b/go/internal/feast/model/featureview.go index 6c198f99947..ceb3736f998 100644 --- a/go/internal/feast/model/featureview.go +++ b/go/internal/feast/model/featureview.go @@ -13,12 +13,13 @@ const ( DUMMY_ENTITY_VAL = "" ) -var DUMMY_ENTITY types.Value = types.Value{Val: &types.Value_StringVal{StringVal: DUMMY_ENTITY_VAL}} +var DUMMY_ENTITY_VALUE types.Value = types.Value{Val: &types.Value_StringVal{StringVal: DUMMY_ENTITY_VAL}} type FeatureView struct { - Base *BaseFeatureView - Ttl *durationpb.Duration - Entities []string + Base *BaseFeatureView + Ttl *durationpb.Duration + EntityNames []string + EntityColumns []*Field } func NewFeatureViewFromProto(proto *core.FeatureView) *FeatureView { @@ -26,25 +27,30 @@ func NewFeatureViewFromProto(proto *core.FeatureView) *FeatureView { Ttl: &(*proto.Spec.Ttl), } if len(proto.Spec.Entities) == 0 { - featureView.Entities = []string{DUMMY_ENTITY_NAME} + featureView.EntityNames = []string{DUMMY_ENTITY_NAME} } else { - featureView.Entities = proto.Spec.Entities + featureView.EntityNames = proto.Spec.Entities } + entityColumns := make([]*Field, len(proto.Spec.EntityColumns)) + for i, entityColumn := range proto.Spec.EntityColumns { + entityColumns[i] = NewFieldFromProto(entityColumn) + } + featureView.EntityColumns = entityColumns return featureView } -func (fs *FeatureView) NewFeatureViewFromBase(base *BaseFeatureView) *FeatureView { - ttl := durationpb.Duration{Seconds: fs.Ttl.Seconds, Nanos: fs.Ttl.Nanos} +func (fv *FeatureView) NewFeatureViewFromBase(base *BaseFeatureView) *FeatureView { + ttl := durationpb.Duration{Seconds: fv.Ttl.Seconds, Nanos: fv.Ttl.Nanos} featureView := &FeatureView{Base: base, - Ttl: &ttl, - Entities: fs.Entities, + Ttl: &ttl, + EntityNames: fv.EntityNames, } return featureView } -func (fs *FeatureView) HasEntity(lookup string) bool { - for _, entityName := range fs.Entities { - if entityName == lookup { +func (fv *FeatureView) HasEntity(name string) bool { + for _, entityName := range fv.EntityNames { + if entityName == name { return true } } diff --git a/go/internal/feast/model/featureviewprojection.go b/go/internal/feast/model/featureviewprojection.go index e80e8844ed2..fe54774ff1e 100644 --- a/go/internal/feast/model/featureviewprojection.go +++ b/go/internal/feast/model/featureviewprojection.go @@ -7,7 +7,7 @@ import ( type FeatureViewProjection struct { Name string NameAlias string - Features []*Feature + Features []*Field JoinKeyMap map[string]string } @@ -24,9 +24,9 @@ func NewFeatureViewProjectionFromProto(proto *core.FeatureViewProjection) *Featu JoinKeyMap: proto.JoinKeyMap, } - features := make([]*Feature, len(proto.FeatureColumns)) + features := make([]*Field, len(proto.FeatureColumns)) for index, featureSpecV2 := range proto.FeatureColumns { - features[index] = NewFeatureFromProto(featureSpecV2) + features[index] = NewFieldFromProto(featureSpecV2) } featureProjection.Features = features return featureProjection diff --git a/go/internal/feast/model/feature.go b/go/internal/feast/model/field.go similarity index 63% rename from go/internal/feast/model/feature.go rename to go/internal/feast/model/field.go index d833a8901b5..4f72d346866 100644 --- a/go/internal/feast/model/feature.go +++ b/go/internal/feast/model/field.go @@ -5,13 +5,14 @@ import ( "github.com/feast-dev/feast/go/protos/feast/types" ) -type Feature struct { +type Field struct { Name string Dtype types.ValueType_Enum } -func NewFeatureFromProto(proto *core.FeatureSpecV2) *Feature { - return &Feature{Name: proto.Name, +func NewFieldFromProto(proto *core.FeatureSpecV2) *Field { + return &Field{ + Name: proto.Name, Dtype: proto.ValueType, } } diff --git a/go/internal/feast/onlineserving/serving.go b/go/internal/feast/onlineserving/serving.go index 1d0567c3547..e2a2df923be 100644 --- a/go/internal/feast/onlineserving/serving.go +++ b/go/internal/feast/onlineserving/serving.go @@ -251,7 +251,7 @@ func GetEntityMaps(requestedFeatureViews []*FeatureViewAndRefs, entities []*mode joinKeyToAliasMap = map[string]string{} } - for _, entityName := range featureView.Entities { + for _, entityName := range featureView.EntityNames { joinKey := entitiesByName[entityName].JoinKey entityNameToJoinKeyMap[entityName] = joinKey @@ -518,7 +518,7 @@ func GroupFeatureRefs(requestedFeatureViews []*FeatureViewAndRefs, joinKeys := make([]string, 0) fv := featuresAndView.View featureNames := featuresAndView.FeatureRefs - for _, entityName := range fv.Entities { + for _, entityName := range fv.EntityNames { joinKeys = append(joinKeys, entityNameToJoinKeyMap[entityName]) } diff --git a/go/internal/feast/onlineserving/serving_test.go b/go/internal/feast/onlineserving/serving_test.go index 0a00f546f9e..bd4e45a21ec 100644 --- a/go/internal/feast/onlineserving/serving_test.go +++ b/go/internal/feast/onlineserving/serving_test.go @@ -20,19 +20,19 @@ func TestGroupingFeatureRefs(t *testing.T) { NameAlias: "aliasViewA", }, }, - Entities: []string{"driver", "customer"}, + EntityNames: []string{"driver", "customer"}, } viewB := &model.FeatureView{ - Base: &model.BaseFeatureView{Name: "viewB"}, - Entities: []string{"driver", "customer"}, + Base: &model.BaseFeatureView{Name: "viewB"}, + EntityNames: []string{"driver", "customer"}, } viewC := &model.FeatureView{ - Base: &model.BaseFeatureView{Name: "viewC"}, - Entities: []string{"driver"}, + Base: &model.BaseFeatureView{Name: "viewC"}, + EntityNames: []string{"driver"}, } viewD := &model.FeatureView{ - Base: &model.BaseFeatureView{Name: "viewD"}, - Entities: []string{"customer"}, + Base: &model.BaseFeatureView{Name: "viewD"}, + EntityNames: []string{"customer"}, } refGroups, _ := GroupFeatureRefs( []*FeatureViewAndRefs{ @@ -105,11 +105,11 @@ func TestGroupingFeatureRefsWithJoinKeyAliases(t *testing.T) { JoinKeyMap: map[string]string{"location_id": "destination_id"}, }, }, - Entities: []string{"location"}, + EntityNames: []string{"location"}, } viewB := &model.FeatureView{ - Base: &model.BaseFeatureView{Name: "viewB"}, - Entities: []string{"location"}, + Base: &model.BaseFeatureView{Name: "viewB"}, + EntityNames: []string{"location"}, } refGroups, _ := GroupFeatureRefs( @@ -164,7 +164,7 @@ func TestGroupingFeatureRefsWithMissingKey(t *testing.T) { JoinKeyMap: map[string]string{"location_id": "destination_id"}, }, }, - Entities: []string{"location"}, + EntityNames: []string{"location"}, } _, err := GroupFeatureRefs( diff --git a/go/internal/feast/server/logging/featureserviceschema.go b/go/internal/feast/server/logging/featureserviceschema.go index 5047346c2ca..2779982fc0a 100644 --- a/go/internal/feast/server/logging/featureserviceschema.go +++ b/go/internal/feast/server/logging/featureserviceschema.go @@ -52,13 +52,12 @@ func generateSchema(featureService *model.FeatureService, entityMap map[string]* features = append(features, fullFeatureName) allFeatureTypes[fullFeatureName] = f.Dtype } - for _, entityName := range fv.Entities { - entity := entityMap[entityName] + for _, entityColumn := range fv.EntityColumns { var joinKey string - if joinKeyAlias, ok := featureProjection.JoinKeyMap[entity.JoinKey]; ok { + if joinKeyAlias, ok := featureProjection.JoinKeyMap[entityColumn.Name]; ok { joinKey = joinKeyAlias } else { - joinKey = entity.JoinKey + joinKey = entityColumn.Name } if _, ok := joinKeysSet[joinKey]; !ok { @@ -66,7 +65,7 @@ func generateSchema(featureService *model.FeatureService, entityMap map[string]* } joinKeysSet[joinKey] = nil - entityJoinKeyToType[joinKey] = entity.ValueType + entityJoinKeyToType[joinKey] = entityColumn.Dtype } } else if odFv, ok := odFvMap[featureViewName]; ok { for _, f := range featureProjection.Features { diff --git a/go/internal/feast/server/logging/featureserviceschema_test.go b/go/internal/feast/server/logging/featureserviceschema_test.go index efcd5ec7fcc..6fa1c12e241 100644 --- a/go/internal/feast/server/logging/featureserviceschema_test.go +++ b/go/internal/feast/server/logging/featureserviceschema_test.go @@ -74,9 +74,10 @@ func TestSchemaRetrievalIgnoresEntitiesNotInFeatureService(t *testing.T) { featureService, entities, fvs, odfvs := InitializeFeatureRepoVariablesForTest() entityMap, fvMap, odFvMap := buildFCOMaps(entities, fvs, odfvs) - //Remove entities in featureservice + // Remove entities in featureservice for _, featureView := range fvs { - featureView.Entities = []string{} + featureView.EntityNames = []string{} + featureView.EntityColumns = []*model.Field{} } schema, err := generateSchema(featureService, entityMap, fvMap, odFvMap) @@ -126,65 +127,69 @@ func TestSchemaUsesOrderInFeatureService(t *testing.T) { // Initialize all dummy featureservice, entities and featureviews/on demand featureviews for testing. func InitializeFeatureRepoVariablesForTest() (*model.FeatureService, []*model.Entity, []*model.FeatureView, []*model.OnDemandFeatureView) { - f1 := test.CreateNewFeature( + f1 := test.CreateNewField( "int64", types.ValueType_INT64, ) - f2 := test.CreateNewFeature( + f2 := test.CreateNewField( "float32", types.ValueType_FLOAT, ) projection1 := test.CreateNewFeatureViewProjection( "featureView1", "", - []*model.Feature{f1, f2}, + []*model.Field{f1, f2}, map[string]string{}, ) baseFeatureView1 := test.CreateBaseFeatureView( "featureView1", - []*model.Feature{f1, f2}, + []*model.Field{f1, f2}, projection1, ) - featureView1 := test.CreateFeatureView(baseFeatureView1, nil, []string{"driver_id"}) - entity1 := test.CreateNewEntity("driver_id", types.ValueType_INT64, "driver_id") - f3 := test.CreateNewFeature( + entity1 := test.CreateNewEntity("driver_id", "driver_id") + entitycolumn1 := test.CreateNewField( + "driver_id", + types.ValueType_INT64, + ) + featureView1 := test.CreateFeatureView(baseFeatureView1, nil, []string{"driver_id"}, []*model.Field{entitycolumn1}) + f3 := test.CreateNewField( "int32", types.ValueType_INT32, ) - f4 := test.CreateNewFeature( + f4 := test.CreateNewField( "double", types.ValueType_DOUBLE, ) projection2 := test.CreateNewFeatureViewProjection( "featureView2", "", - []*model.Feature{f3, f4}, + []*model.Field{f3, f4}, map[string]string{}, ) baseFeatureView2 := test.CreateBaseFeatureView( "featureView2", - []*model.Feature{f3, f4}, + []*model.Field{f3, f4}, projection2, ) - featureView2 := test.CreateFeatureView(baseFeatureView2, nil, []string{"driver_id"}) + featureView2 := test.CreateFeatureView(baseFeatureView2, nil, []string{"driver_id"}, []*model.Field{entitycolumn1}) - f5 := test.CreateNewFeature( + f5 := test.CreateNewField( "odfv_f1", types.ValueType_INT32, ) - f6 := test.CreateNewFeature( + f6 := test.CreateNewField( "odfv_f2", types.ValueType_DOUBLE, ) projection3 := test.CreateNewFeatureViewProjection( "od_bf1", "", - []*model.Feature{f5, f6}, + []*model.Field{f5, f6}, map[string]string{}, ) od_bf1 := test.CreateBaseFeatureView( "od_bf1", - []*model.Feature{f5, f6}, + []*model.Field{f5, f6}, projection3, ) odfv := model.NewOnDemandFeatureViewFromBase(od_bf1) diff --git a/go/internal/test/go_integration_test_utils.go b/go/internal/test/go_integration_test_utils.go index eb727ba1db9..275edc7b98e 100644 --- a/go/internal/test/go_integration_test_utils.go +++ b/go/internal/test/go_integration_test_utils.go @@ -193,7 +193,7 @@ func GetProtoFromRecord(rec arrow.Record) (map[string]*types.RepeatedValue, erro return r, nil } -func CreateBaseFeatureView(name string, features []*model.Feature, projection *model.FeatureViewProjection) *model.BaseFeatureView { +func CreateBaseFeatureView(name string, features []*model.Field, projection *model.FeatureViewProjection) *model.BaseFeatureView { return &model.BaseFeatureView{ Name: name, Features: features, @@ -201,16 +201,15 @@ func CreateBaseFeatureView(name string, features []*model.Feature, projection *m } } -func CreateNewEntity(name string, valueType types.ValueType_Enum, joinKey string) *model.Entity { +func CreateNewEntity(name string, joinKey string) *model.Entity { return &model.Entity{ - Name: name, - ValueType: valueType, - JoinKey: joinKey, + Name: name, + JoinKey: joinKey, } } -func CreateNewFeature(name string, dtype types.ValueType_Enum) *model.Feature { - return &model.Feature{Name: name, +func CreateNewField(name string, dtype types.ValueType_Enum) *model.Field { + return &model.Field{Name: name, Dtype: dtype, } } @@ -225,7 +224,7 @@ func CreateNewFeatureService(name string, project string, createdTimestamp *time } } -func CreateNewFeatureViewProjection(name string, nameAlias string, features []*model.Feature, joinKeyMap map[string]string) *model.FeatureViewProjection { +func CreateNewFeatureViewProjection(name string, nameAlias string, features []*model.Field, joinKeyMap map[string]string) *model.FeatureViewProjection { return &model.FeatureViewProjection{Name: name, NameAlias: nameAlias, Features: features, @@ -233,10 +232,11 @@ func CreateNewFeatureViewProjection(name string, nameAlias string, features []*m } } -func CreateFeatureView(base *model.BaseFeatureView, ttl *durationpb.Duration, entities []string) *model.FeatureView { +func CreateFeatureView(base *model.BaseFeatureView, ttl *durationpb.Duration, entities []string, entityColumns []*model.Field) *model.FeatureView { return &model.FeatureView{ - Base: base, - Ttl: ttl, - Entities: entities, + Base: base, + Ttl: ttl, + EntityNames: entities, + EntityColumns: entityColumns, } } diff --git a/protos/feast/core/FeatureView.proto b/protos/feast/core/FeatureView.proto index 26623505401..c9e38bf3448 100644 --- a/protos/feast/core/FeatureView.proto +++ b/protos/feast/core/FeatureView.proto @@ -35,7 +35,7 @@ message FeatureView { FeatureViewMeta meta = 2; } -// Next available id: 12 +// Next available id: 13 // TODO(adchia): refactor common fields from this and ODFV into separate metadata proto message FeatureViewSpec { // Name of the feature view. Must be unique. Not updated. @@ -44,13 +44,15 @@ message FeatureViewSpec { // Name of Feast project that this feature view belongs to. string project = 2; - // List names of entities to associate with the Features defined in this - // Feature View. Not updatable. + // List of names of entities associated with this feature view. repeated string entities = 3; - // List of specifications for each field defined as part of this feature view. + // List of specifications for each feature defined as part of this feature view. repeated FeatureSpecV2 features = 4; + // List of specifications for each entity defined as part of this feature view. + repeated FeatureSpecV2 entity_columns = 12; + // Description of the feature view. string description = 10; diff --git a/sdk/python/feast/entity.py b/sdk/python/feast/entity.py index 3aaf0f9b695..e29ac4f6ef2 100644 --- a/sdk/python/feast/entity.py +++ b/sdk/python/feast/entity.py @@ -31,7 +31,7 @@ class Entity: Attributes: name: The unique name of the entity. - value_type: The type of the entity, such as string or float. + value_type (deprecated): The type of the entity, such as string or float. join_key: A property that uniquely identifies different entities within the collection. The join_key property is typically used for joining entities with their associated features. If not specified, defaults to the name. @@ -60,7 +60,7 @@ def __init__( self, *args, name: Optional[str] = None, - value_type: ValueType = ValueType.UNKNOWN, + value_type: Optional[ValueType] = None, description: str = "", join_key: Optional[str] = None, tags: Optional[Dict[str, str]] = None, @@ -72,7 +72,7 @@ def __init__( Args: name: The unique name of the entity. - value_type: The type of the entity, such as string or float. + value_type (deprecated): The type of the entity, such as string or float. description: A human-readable description. join_key (deprecated): A property that uniquely identifies different entities within the collection. The join_key property is typically used for joining entities @@ -104,8 +104,23 @@ def __init__( if not self.name: raise ValueError("Name needs to be specified") - self.value_type = value_type + if value_type: + warnings.warn( + ( + "The `value_type` parameter is being deprecated. Instead, the type of an entity " + "should be specified as a Field in the schema of a feature view. Feast 0.22 and " + "onwards will not support the `value_type` parameter. The `entities` parameter of " + "feature views should also be changed to a List[Entity] instead of a List[str]; if " + "this is not done, entity columns will be mistakenly interpreted as feature columns." + ), + DeprecationWarning, + ) + self.value_type = value_type or ValueType.UNKNOWN + # For now, both the `join_key` and `join_keys` attributes are set correctly, + # so both are usable. + # TODO(felixwang9817): Remove the usage of `join_key` throughout the codebase + # when the usage of `join_key` as a parameter is removed. if join_key: warnings.warn( ( @@ -125,6 +140,8 @@ def __init__( self.join_key = join_keys[0] else: self.join_key = join_key if join_key else self.name + if not self.join_keys: + self.join_keys = [self.join_key] self.description = description self.tags = tags if tags is not None else {} self.owner = owner @@ -153,6 +170,9 @@ def __eq__(self, other): def __str__(self): return str(MessageToJson(self.to_proto())) + def __lt__(self, other): + return self.name < other.name + def is_valid(self): """ Validates the state of this entity locally. diff --git a/sdk/python/feast/feature_logging.py b/sdk/python/feast/feature_logging.py index 70fab930bbf..e951eaabc30 100644 --- a/sdk/python/feast/feature_logging.py +++ b/sdk/python/feast/feature_logging.py @@ -14,7 +14,6 @@ from feast.protos.feast.core.FeatureService_pb2 import ( LoggingConfig as LoggingConfigProto, ) -from feast.types import from_value_type if TYPE_CHECKING: from feast import FeatureService @@ -82,14 +81,11 @@ def get_schema(self, registry: "Registry") -> pa.Schema: fields[field.name] = FEAST_TYPE_TO_ARROW_TYPE[field.dtype] else: - for entity_name in feature_view.entities: - entity = registry.get_entity(entity_name, self._project) + for entity_column in feature_view.entity_columns: join_key = projection.join_key_map.get( - entity.join_key, entity.join_key + entity_column.name, entity_column.name ) - fields[join_key] = FEAST_TYPE_TO_ARROW_TYPE[ - from_value_type(entity.value_type) - ] + fields[join_key] = FEAST_TYPE_TO_ARROW_TYPE[entity_column.dtype] # system columns fields[REQUEST_ID_FIELD] = pa.string() diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 4b015e8ab82..5f4918301cb 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -64,8 +64,7 @@ ) from feast.inference import ( update_data_sources_with_inferred_event_timestamp_col, - update_entities_with_inferred_types_from_feature_views, - update_feature_views_with_inferred_features, + update_feature_views_with_inferred_features_and_entities, ) from feast.infra.infra_object import Infra from feast.infra.provider import Provider, RetrievalJob, get_provider @@ -254,6 +253,7 @@ def _list_feature_views( ): if hide_dummy_entity and fv.entities[0] == DUMMY_ENTITY_NAME: fv.entities = [] + fv.entity_columns = [] feature_views.append(fv) return feature_views @@ -476,11 +476,7 @@ def _make_inferences( views_to_update: List[FeatureView], odfvs_to_update: List[OnDemandFeatureView], ): - """Makes inferences for entities, feature views, and odfvs.""" - update_entities_with_inferred_types_from_feature_views( - entities_to_update, views_to_update, self.config - ) - + """Makes inferences for data sources, feature views, and odfvs.""" update_data_sources_with_inferred_event_timestamp_col( data_sources_to_update, self.config ) @@ -491,7 +487,7 @@ def _make_inferences( # New feature views may reference previously applied entities. entities = self._list_entities() - update_feature_views_with_inferred_features( + update_feature_views_with_inferred_features_and_entities( views_to_update, entities + entities_to_update, self.config ) @@ -517,11 +513,11 @@ def _plan( Examples: Generate a plan adding an Entity and a FeatureView. - >>> from feast import FeatureStore, Entity, FeatureView, Feature, ValueType, FileSource, RepoConfig + >>> from feast import FeatureStore, Entity, FeatureView, Feature, FileSource, RepoConfig >>> from feast.feature_store import RepoContents >>> from datetime import timedelta >>> fs = FeatureStore(repo_path="feature_repo") - >>> driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id") + >>> driver = Entity(name="driver_id", description="driver id") >>> driver_hourly_stats = FileSource( ... path="feature_repo/data/driver_stats.parquet", ... timestamp_field="event_timestamp", @@ -529,7 +525,7 @@ def _plan( ... ) >>> driver_hourly_stats_view = FeatureView( ... name="driver_hourly_stats", - ... entities=["driver_id"], + ... entities=[driver], ... ttl=timedelta(seconds=86400 * 1), ... batch_source=driver_hourly_stats, ... ) @@ -629,10 +625,10 @@ def apply( Examples: Register an Entity and a FeatureView. - >>> from feast import FeatureStore, Entity, FeatureView, Feature, ValueType, FileSource, RepoConfig + >>> from feast import FeatureStore, Entity, FeatureView, Feature, FileSource, RepoConfig >>> from datetime import timedelta >>> fs = FeatureStore(repo_path="feature_repo") - >>> driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id") + >>> driver = Entity(name="driver_id", description="driver id") >>> driver_hourly_stats = FileSource( ... path="feature_repo/data/driver_stats.parquet", ... timestamp_field="event_timestamp", @@ -640,7 +636,7 @@ def apply( ... ) >>> driver_hourly_stats_view = FeatureView( ... name="driver_hourly_stats", - ... entities=["driver_id"], + ... entities=[driver], ... ttl=timedelta(seconds=86400 * 1), ... batch_source=driver_hourly_stats, ... ) @@ -687,6 +683,9 @@ def apply( data_sources_to_update = list(data_sources_set_to_update) + # Handle all entityless feature views by using DUMMY_ENTITY as a placeholder entity. + entities_to_update.append(DUMMY_ENTITY) + # Validate all feature views and make inferences. self._validate_all_feature_views( views_to_update, odfvs_to_update, request_views_to_update @@ -695,9 +694,6 @@ def apply( data_sources_to_update, entities_to_update, views_to_update, odfvs_to_update ) - # Handle all entityless feature views by using DUMMY_ENTITY as a placeholder entity. - entities_to_update.append(DUMMY_ENTITY) - # Add all objects to the registry and update the provider's infrastructure. for ds in data_sources_to_update: self._registry.apply_data_source(ds, project=self.project, commit=False) @@ -1541,12 +1537,12 @@ def _get_columnar_entity_values( def _get_entity_maps( self, feature_views ) -> Tuple[Dict[str, str], Dict[str, ValueType], Set[str]]: + # TODO(felixwang9817): Support entities that have different types for different feature views. entities = self._list_entities(allow_cache=True, hide_dummy_entity=False) entity_name_to_join_key_map: Dict[str, str] = {} entity_type_map: Dict[str, ValueType] = {} for entity in entities: entity_name_to_join_key_map[entity.name] = entity.join_key - entity_type_map[entity.name] = entity.value_type for feature_view in feature_views: for entity_name in feature_view.entities: entity = self._registry.get_entity( @@ -1561,7 +1557,11 @@ def _get_entity_maps( entity.join_key, entity.join_key ) entity_name_to_join_key_map[entity_name] = join_key - entity_type_map[join_key] = entity.value_type + for entity_column in feature_view.entity_columns: + entity_type_map[ + entity_column.name + ] = entity_column.dtype.to_value_type() + return ( entity_name_to_join_key_map, entity_type_map, diff --git a/sdk/python/feast/feature_view.py b/sdk/python/feast/feature_view.py index 65a4914a8f7..fa9cb033051 100644 --- a/sdk/python/feast/feature_view.py +++ b/sdk/python/feast/feature_view.py @@ -36,7 +36,6 @@ MaterializationInterval as MaterializationIntervalProto, ) from feast.usage import log_exceptions -from feast.value_type import ValueType warnings.simplefilter("once", DeprecationWarning) @@ -44,9 +43,7 @@ DUMMY_ENTITY_ID = "__dummy_id" DUMMY_ENTITY_NAME = "__dummy" DUMMY_ENTITY_VAL = "" -DUMMY_ENTITY = Entity( - name=DUMMY_ENTITY_NAME, join_keys=[DUMMY_ENTITY_ID], value_type=ValueType.STRING, -) +DUMMY_ENTITY = Entity(name=DUMMY_ENTITY_NAME, join_keys=[DUMMY_ENTITY_ID],) class FeatureView(BaseFeatureView): @@ -55,7 +52,7 @@ class FeatureView(BaseFeatureView): Attributes: name: The unique name of the feature view. - entities: The list of entities with which this group of features is associated. + entities: The list of names of entities that this feature view is associated with. ttl: The amount of time this group of features lives. A ttl of 0 indicates that this group of features lives forever. Note that large ttl's or a ttl of 0 can result in extremely computationally intensive queries. @@ -65,9 +62,11 @@ class FeatureView(BaseFeatureView): stream_source (optional): The stream source of data where this group of features is stored. This is deprecated in favor of `source`. schema: The schema of the feature view, including feature, timestamp, and entity - columns. - features: The list of features defined as part of this feature view. Each - feature should also be included in the schema. + columns. If not specified, can be inferred from the underlying data source. + entity_columns: The list of entity columns contained in the schema. If not specified, + can be inferred from the underlying data source. + features: The list of feature columns contained in the schema. If not specified, + can be inferred from the underlying data source. online: A boolean indicating whether online retrieval is enabled for this feature view. description: A human-readable description. @@ -84,6 +83,7 @@ class FeatureView(BaseFeatureView): batch_source: DataSource stream_source: Optional[DataSource] schema: List[Field] + entity_columns: List[Field] features: List[Field] online: bool description: str @@ -129,14 +129,15 @@ def __init__( owner (optional): The owner of the feature view, typically the email of the primary maintainer. schema (optional): The schema of the feature view, including feature, timestamp, - and entity columns. + and entity columns. If entity columns are included in the schema, a List[Entity] + must be passed to `entities` instead of a List[str]; otherwise, the entity columns + will be mistakenly interpreted as feature columns. source (optional): The source of data for this group of features. May be a stream source, or a batch source. If a stream source, the source should contain a batch_source for backfills & batch materialization. Raises: ValueError: A field mapping conflicts with an Entity or a Feature. """ - positional_attributes = ["name", "entities", "ttl"] _name = name @@ -167,11 +168,21 @@ def __init__( raise ValueError("feature view name needs to be specified") self.name = _name + self.entities = ( [e.name if isinstance(e, Entity) else e for e in _entities] if _entities else [DUMMY_ENTITY_NAME] ) + if _entities and isinstance(_entities[0], str): + warnings.warn( + ( + "The `entities` parameter should be a list of `Entity` objects. " + "Feast 0.22 and onwards will not support passing in a list of " + "strings to define entities." + ), + DeprecationWarning, + ) self._initialize_sources(_name, batch_source, stream_source, source) @@ -206,14 +217,30 @@ def __init__( _schema = [Field.from_feature(feature) for feature in features] self.schema = _schema - # TODO(felixwang9817): Infer which fields in the schema are features, timestamps, - # and entities. For right now we assume that all fields are features, since the - # current `features` parameter only accepts feature columns. - _features = _schema + # If a user has added entity fields to schema, then they should also have switched + # to using a List[Entity], in which case entity and feature columns can be separated + # here. Conversely, if the user is still using a List[str], they must not have added + # added entity fields, in which case we can set the `features` attribute directly + # equal to the schema. + _features: List[Field] = [] + self.entity_columns = [] + if _entities and len(_entities) > 0 and isinstance(_entities[0], str): + _features = _schema + else: + join_keys = [] + if _entities: + for entity in _entities: + if isinstance(entity, Entity): + join_keys += entity.join_keys + + for field in _schema: + if field.name in join_keys: + self.entity_columns.append(field) + else: + _features.append(field) - cols = [entity for entity in self.entities] + [ - field.name for field in _features - ] + # TODO(felixwang9817): Add more robust validation of features. + cols = [field.name for field in _schema] for col in cols: if ( self.batch_source.field_mapping is not None @@ -276,7 +303,6 @@ def __hash__(self): def __copy__(self): fv = FeatureView( name=self.name, - entities=self.entities, ttl=self.ttl, source=self.batch_source, stream_source=self.stream_source, @@ -284,6 +310,13 @@ def __copy__(self): tags=self.tags, online=self.online, ) + + # This is deliberately set outside of the FV initialization to avoid the deprecation warning. + # TODO(felixwang9817): Move this into the FV initialization when the deprecation warning + # is removed. + fv.entities = self.entities + fv.features = copy.copy(self.features) + fv.entity_columns = copy.copy(self.entity_columns) fv.projection = copy.copy(self.projection) return fv @@ -302,12 +335,16 @@ def __eq__(self, other): or self.online != other.online or self.batch_source != other.batch_source or self.stream_source != other.stream_source - or self.schema != other.schema ): return False return True + @property + def join_keys(self) -> List[str]: + """Returns a list of all the join keys.""" + return [entity.name for entity in self.entity_columns] + def ensure_valid(self): """ Validates the state of this feature view locally. @@ -393,7 +430,8 @@ def to_proto(self) -> FeatureViewProto: spec = FeatureViewSpecProto( name=self.name, entities=self.entities, - features=[field.to_proto() for field in self.schema], + entity_columns=[field.to_proto() for field in self.entity_columns], + features=[field.to_proto() for field in self.features], description=self.description, tags=self.tags, owner=self.owner, @@ -424,11 +462,7 @@ def from_proto(cls, feature_view_proto: FeatureViewProto): ) feature_view = cls( name=feature_view_proto.spec.name, - entities=[entity for entity in feature_view_proto.spec.entities], - schema=[ - Field.from_proto(field_proto) - for field_proto in feature_view_proto.spec.features - ], + entities=feature_view_proto.spec.entities, description=feature_view_proto.spec.description, tags=dict(feature_view_proto.spec.tags), owner=feature_view_proto.spec.owner, @@ -443,6 +477,16 @@ def from_proto(cls, feature_view_proto: FeatureViewProto): if stream_source: feature_view.stream_source = stream_source + # Instead of passing in a schema, we set the features and entity columns. + feature_view.features = [ + Field.from_proto(field_proto) + for field_proto in feature_view_proto.spec.features + ] + feature_view.entity_columns = [ + Field.from_proto(field_proto) + for field_proto in feature_view_proto.spec.entity_columns + ] + # FeatureViewProjections are not saved in the FeatureView proto. # Create the default projection. feature_view.projection = FeatureViewProjection.from_definition(feature_view) diff --git a/sdk/python/feast/inference.py b/sdk/python/feast/inference.py index 5c0f0e1d285..d3f2d94532c 100644 --- a/sdk/python/feast/inference.py +++ b/sdk/python/feast/inference.py @@ -4,70 +4,13 @@ from feast import BigQuerySource, Entity, FileSource, RedshiftSource, SnowflakeSource from feast.data_source import DataSource, PushSource, RequestSource from feast.errors import RegistryInferenceFailure -from feast.feature_view import FeatureView +from feast.feature_view import DUMMY_ENTITY_ID, DUMMY_ENTITY_NAME, FeatureView from feast.field import Field, from_value_type from feast.repo_config import RepoConfig +from feast.types import String from feast.value_type import ValueType -def update_entities_with_inferred_types_from_feature_views( - entities: List[Entity], feature_views: List[FeatureView], config: RepoConfig -) -> None: - """ - Infers the types of the entities by examining the schemas of feature view batch sources. - - Args: - entities: The entities to be updated. - feature_views: A list containing feature views associated with the entities. - config: The config for the current feature store. - """ - incomplete_entities = { - entity.name: entity - for entity in entities - if entity.value_type == ValueType.UNKNOWN - } - incomplete_entities_keys = incomplete_entities.keys() - - for view in feature_views: - if not (incomplete_entities_keys & set(view.entities)): - continue # skip if view doesn't contain any entities that need inference - - col_names_and_types = list( - view.batch_source.get_table_column_names_and_types(config) - ) - for entity_name in view.entities: - if entity_name in incomplete_entities: - entity = incomplete_entities[entity_name] - - # get entity information from information extracted from the view batch source - extracted_entity_name_type_pairs = list( - filter(lambda tup: tup[0] == entity.join_key, col_names_and_types,) - ) - if len(extracted_entity_name_type_pairs) == 0: - # Doesn't mention inference error because would also be an error without inferencing - raise ValueError( - f"""No column in the batch source for the {view.name} feature view matches - its entity's name.""" - ) - - inferred_value_type = view.batch_source.source_datatype_to_feast_value_type()( - extracted_entity_name_type_pairs[0][1] - ) - - if ( - entity.value_type != ValueType.UNKNOWN - and entity.value_type != inferred_value_type - ) or (len(extracted_entity_name_type_pairs) > 1): - raise RegistryInferenceFailure( - "Entity", - f"""Entity value_type inference failed for {entity_name} entity. - Multiple viable matches. - """, - ) - - entity.value_type = inferred_value_type - - def update_data_sources_with_inferred_event_timestamp_col( data_sources: List[DataSource], config: RepoConfig ) -> None: @@ -140,57 +83,115 @@ def update_data_sources_with_inferred_event_timestamp_col( ) -def update_feature_views_with_inferred_features( +def update_feature_views_with_inferred_features_and_entities( fvs: List[FeatureView], entities: List[Entity], config: RepoConfig ) -> None: """ - Infers the set of features associated to each FeatureView and updates the FeatureView with those features. - Inference occurs through considering each column of the underlying data source as a feature except columns that are - associated with the data source's timestamp columns and the FeatureView's entity columns. + Infers the set of features and entities associated with each feature view and updates + the feature view with those features and entities. Columns whose names match a join key + of an entity are considered to be entity columns; all other columns except designated + timestamp columns, are considered to be feature columns. Args: fvs: The feature views to be updated. entities: A list containing entities associated with the feature views. config: The config for the current feature store. """ - entity_name_to_join_key_map = {entity.name: entity.join_key for entity in entities} - join_keys = entity_name_to_join_key_map.values() + entity_name_to_entity_map = {e.name: e for e in entities} + entity_name_to_join_keys_map = {e.name: e.join_keys for e in entities} + all_join_keys = [ + join_key + for join_key_list in entity_name_to_join_keys_map.values() + for join_key in join_key_list + ] for fv in fvs: - # First drop all Entity fields. Then infer features if necessary. - fv.schema = [field for field in fv.schema if field.name not in join_keys] - fv.features = [field for field in fv.features if field.name not in join_keys] + # Fields whose names match a join key are considered to be entity columns; all + # other fields are considered to be feature columns. + for field in fv.schema: + if field.name in all_join_keys: + # Do not override a preexisting field with the same name. + if field.name not in [ + entity_column.name for entity_column in fv.entity_columns + ]: + fv.entity_columns.append(field) + else: + if field.name not in [feature.name for feature in fv.features]: + fv.features.append(field) + + # Since the `value_type` parameter has not yet been fully deprecated for + # entities, we respect the `value_type` attribute if it still exists. + for entity_name in fv.entities: + entity = entity_name_to_entity_map[entity_name] + if ( + entity_name + not in [entity_column.name for entity_column in fv.entity_columns] + and entity.value_type != ValueType.UNKNOWN + ): + fv.entity_columns.append( + Field( + name=entity.join_key, dtype=from_value_type(entity.value_type), + ) + ) + + # Handle EFV separately here. Specifically, that means if we have an EFV, + # we need to add a field to entity_columns. + if len(fv.entities) == 1 and fv.entities[0] == DUMMY_ENTITY_NAME: + fv.entity_columns.append(Field(name=DUMMY_ENTITY_ID, dtype=String)) + + # Run inference if either (a) there are fewer entity fields than expected or + # (b) there are no feature fields. + run_inference = len(fv.features) == 0 + num_expected_join_keys = sum( + [ + len(entity_name_to_join_keys_map[entity_name]) + for entity_name in fv.entities + ] + ) + if len(fv.entity_columns) < num_expected_join_keys: + run_inference = True + + if run_inference: + join_keys = set( + [ + join_key + for entity_name in fv.entities + for join_key in entity_name_to_join_keys_map[entity_name] + ] + ) - if not fv.features: columns_to_exclude = { fv.batch_source.timestamp_field, fv.batch_source.created_timestamp_column, - } | { - entity_name_to_join_key_map[entity_name] for entity_name in fv.entities } + for column in columns_to_exclude: + if column in fv.batch_source.field_mapping: + columns_to_exclude.remove(column) + columns_to_exclude.add(fv.batch_source.field_mapping[column]) - if fv.batch_source.timestamp_field in fv.batch_source.field_mapping: - columns_to_exclude.add( - fv.batch_source.field_mapping[fv.batch_source.timestamp_field] - ) - if ( - fv.batch_source.created_timestamp_column - in fv.batch_source.field_mapping - ): - columns_to_exclude.add( - fv.batch_source.field_mapping[ - fv.batch_source.created_timestamp_column - ] - ) + table_column_names_and_types = fv.batch_source.get_table_column_names_and_types( + config + ) - for ( - col_name, - col_datatype, - ) in fv.batch_source.get_table_column_names_and_types(config): - if col_name not in columns_to_exclude and not re.match( - "^__|__$", - col_name, # double underscores often signal an internal-use column - ): + for col_name, col_datatype in table_column_names_and_types: + if col_name in columns_to_exclude: + continue + elif col_name in join_keys: + field = Field( + name=col_name, + dtype=from_value_type( + fv.batch_source.source_datatype_to_feast_value_type()( + col_datatype + ) + ), + ) + if field.name not in [ + entity_column.name for entity_column in fv.entity_columns + ]: + fv.entity_columns.append(field) + elif not re.match( + "^__|__$", col_name + ): # double underscores often signal an internal-use column feature_name = ( fv.batch_source.field_mapping[col_name] if col_name in fv.batch_source.field_mapping @@ -204,10 +205,8 @@ def update_feature_views_with_inferred_features( ) ), ) - # Note that schema and features are two different attributes of a - # FeatureView, and that features should be present in both. - fv.schema.append(field) - fv.features.append(field) + if field.name not in [feature.name for feature in fv.features]: + fv.features.append(field) if not fv.features: raise RegistryInferenceFailure( diff --git a/sdk/python/feast/infra/offline_stores/file.py b/sdk/python/feast/infra/offline_stores/file.py index 2dea5714fae..7cc6dbd2837 100644 --- a/sdk/python/feast/infra/offline_stores/file.py +++ b/sdk/python/feast/infra/offline_stores/file.py @@ -200,10 +200,9 @@ def evaluate_historical_retrieval(): # Build a list of entity columns to join on (from the right table) join_keys = [] - for entity_name in feature_view.entities: - entity = registry.get_entity(entity_name, project) + for entity_column in feature_view.entity_columns: join_key = feature_view.projection.join_key_map.get( - entity.join_key, entity.join_key + entity_column.name, entity_column.name ) join_keys.append(join_key) diff --git a/sdk/python/feast/infra/offline_stores/offline_utils.py b/sdk/python/feast/infra/offline_stores/offline_utils.py index b6c3d300d49..dad0ca5b781 100644 --- a/sdk/python/feast/infra/offline_stores/offline_utils.py +++ b/sdk/python/feast/infra/offline_stores/offline_utils.py @@ -60,11 +60,9 @@ def get_expected_join_keys( ) -> Set[str]: join_keys = set() for feature_view in feature_views: - entities = feature_view.entities - for entity_name in entities: - entity = registry.get_entity(entity_name, project) + for entity_column in feature_view.entity_columns: join_key = feature_view.projection.join_key_map.get( - entity.join_key, entity.join_key + entity_column.name, entity_column.name ) join_keys.add(join_key) return join_keys @@ -114,14 +112,14 @@ def get_feature_view_query_context( query_context = [] for feature_view, features in feature_views_to_feature_map.items(): - join_keys, entity_selections = [], [] - for entity_name in feature_view.entities: - entity = registry.get_entity(entity_name, project) + join_keys: List[str] = [] + entity_selections: List[str] = [] + for entity_column in feature_view.entity_columns: join_key = feature_view.projection.join_key_map.get( - entity.join_key, entity.join_key + entity_column.name, entity_column.name ) join_keys.append(join_key) - entity_selections.append(f"{entity.join_key} AS {join_key}") + entity_selections.append(f"{entity_column.name} AS {join_key}") if isinstance(feature_view.ttl, timedelta): ttl_seconds = int(feature_view.ttl.total_seconds()) diff --git a/sdk/python/feast/infra/online_stores/redis.py b/sdk/python/feast/infra/online_stores/redis.py index 9ceceff0ac0..1a8eedb21e0 100644 --- a/sdk/python/feast/infra/online_stores/redis.py +++ b/sdk/python/feast/infra/online_stores/redis.py @@ -106,9 +106,9 @@ def update( (usually this happens when the last feature view that was using specific compound key is deleted) and remove all features attached to this "join_keys". """ - join_keys_to_keep = set(tuple(table.entities) for table in tables_to_keep) + join_keys_to_keep = set(tuple(table.join_keys) for table in tables_to_keep) - join_keys_to_delete = set(tuple(table.entities) for table in tables_to_delete) + join_keys_to_delete = set(tuple(table.join_keys) for table in tables_to_delete) for join_keys in join_keys_to_delete - join_keys_to_keep: self.delete_entity_values(config, list(join_keys)) @@ -122,7 +122,7 @@ def teardown( """ We delete the keys in redis for tables/views being removed. """ - join_keys_to_delete = set(tuple(table.entities) for table in tables) + join_keys_to_delete = set(tuple(table.join_keys) for table in tables) for join_keys in join_keys_to_delete: self.delete_entity_values(config, list(join_keys)) diff --git a/sdk/python/feast/infra/passthrough_provider.py b/sdk/python/feast/infra/passthrough_provider.py index 0b6b798fe01..b6635065078 100644 --- a/sdk/python/feast/infra/passthrough_provider.py +++ b/sdk/python/feast/infra/passthrough_provider.py @@ -159,11 +159,16 @@ def materialize_single_feature_view( if feature_view.batch_source.field_mapping is not None: table = _run_field_mapping(table, feature_view.batch_source.field_mapping) - join_keys = {entity.join_key: entity.value_type for entity in entities} + join_key_to_value_type = { + entity.name: entity.dtype.to_value_type() + for entity in feature_view.entity_columns + } with tqdm_builder(table.num_rows) as pbar: for batch in table.to_batches(DEFAULT_BATCH_SIZE): - rows_to_write = _convert_arrow_to_proto(batch, feature_view, join_keys) + rows_to_write = _convert_arrow_to_proto( + batch, feature_view, join_key_to_value_type + ) self.online_write_batch( self.repo_config, feature_view, diff --git a/sdk/python/feast/infra/provider.py b/sdk/python/feast/infra/provider.py index 7754a58319c..cd82b7d416c 100644 --- a/sdk/python/feast/infra/provider.py +++ b/sdk/python/feast/infra/provider.py @@ -390,7 +390,7 @@ def _convert_arrow_to_proto( table = table.to_batches()[0] columns = [ - (field.name, field.dtype.to_value_type()) for field in feature_view.schema + (field.name, field.dtype.to_value_type()) for field in feature_view.features ] + list(join_keys.items()) proto_values_by_column = { diff --git a/sdk/python/feast/on_demand_feature_view.py b/sdk/python/feast/on_demand_feature_view.py index d2cec18e520..2d41de52914 100644 --- a/sdk/python/feast/on_demand_feature_view.py +++ b/sdk/python/feast/on_demand_feature_view.py @@ -647,7 +647,7 @@ def decorator(user_function): def feature_view_to_batch_feature_view(fv: FeatureView) -> BatchFeatureView: - return BatchFeatureView( + bfv = BatchFeatureView( name=fv.name, entities=fv.entities, ttl=fv.ttl, @@ -657,3 +657,7 @@ def feature_view_to_batch_feature_view(fv: FeatureView) -> BatchFeatureView: schema=fv.schema, source=fv.source, ) + + bfv.features = copy.copy(fv.features) + bfv.entities = copy.copy(fv.entities) + return bfv diff --git a/sdk/python/feast/templates/aws/driver_repo.py b/sdk/python/feast/templates/aws/driver_repo.py index 5188f57cf83..a6f31f07b48 100644 --- a/sdk/python/feast/templates/aws/driver_repo.py +++ b/sdk/python/feast/templates/aws/driver_repo.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, RedshiftSource, ValueType +from feast import Entity, FeatureView, Field, RedshiftSource from feast.types import Float32, Int64 # Define an entity for the driver. Entities can be thought of as primary keys used to @@ -13,8 +13,6 @@ # features can be looked up. The join keys are also used to join feature # tables/views when building feature vectors join_keys=["driver_id"], - # The storage level type for an entity - value_type=ValueType.INT64, ) # Indicates a data source from which feature values can be retrieved. Sources are queried when building training @@ -41,7 +39,7 @@ # The list of entities specifies the keys required for joining or looking # up features from this feature view. The reference provided in this field # correspond to the name of a defined entity (or entities) - entities=["driver"], + entities=[driver], # The timedelta is the maximum age that each feature value may have # relative to its lookup time. For historical features (used in training), # TTL is relative to each timestamp provided in the entity dataframe. diff --git a/sdk/python/feast/templates/gcp/driver_repo.py b/sdk/python/feast/templates/gcp/driver_repo.py index 7d137f996b6..b3bd868f145 100644 --- a/sdk/python/feast/templates/gcp/driver_repo.py +++ b/sdk/python/feast/templates/gcp/driver_repo.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import BigQuerySource, Entity, FeatureView, Field, ValueType +from feast import BigQuerySource, Entity, FeatureView, Field from feast.types import Float32, Int64 # Define an entity for the driver. Entities can be thought of as primary keys used to @@ -13,8 +13,6 @@ # features can be looked up. The join keys are also used to join feature # tables/views when building feature vectors join_keys=["driver_id"], - # The storage level type for an entity - value_type=ValueType.INT64, ) # Indicates a data source from which feature values can be retrieved. Sources are queried when building training @@ -39,7 +37,7 @@ # The list of entities specifies the keys required for joining or looking # up features from this feature view. The reference provided in this field # correspond to the name of a defined entity (or entities) - entities=["driver"], + entities=[driver], # The timedelta is the maximum age that each feature value may have # relative to its lookup time. For historical features (used in training), # TTL is relative to each timestamp provided in the entity dataframe. diff --git a/sdk/python/feast/templates/hbase/example.py b/sdk/python/feast/templates/hbase/example.py index 1d441e0e995..b34696185b1 100644 --- a/sdk/python/feast/templates/hbase/example.py +++ b/sdk/python/feast/templates/hbase/example.py @@ -2,7 +2,7 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, FileSource, ValueType +from feast import Entity, FeatureView, Field, FileSource from feast.types import Float32, Int64 # Read data from parquet files. Parquet is convenient for local development mode. For @@ -16,7 +16,7 @@ # Define an entity for the driver. You can think of entity as a primary key used to # fetch features. -driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64,) +driver = Entity(name="driver", join_keys=["driver_id"]) # Our parquet files contain sample data that includes a driver_id column, timestamps and # three feature column. Here we define a Feature View that will allow us to serve this diff --git a/sdk/python/feast/templates/local/example.py b/sdk/python/feast/templates/local/example.py index 1d441e0e995..26821b8a93d 100644 --- a/sdk/python/feast/templates/local/example.py +++ b/sdk/python/feast/templates/local/example.py @@ -2,7 +2,7 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, FileSource, ValueType +from feast import Entity, FeatureView, Field, FileSource from feast.types import Float32, Int64 # Read data from parquet files. Parquet is convenient for local development mode. For @@ -16,14 +16,14 @@ # Define an entity for the driver. You can think of entity as a primary key used to # fetch features. -driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64,) +driver = Entity(name="driver", join_keys=["driver_id"]) # Our parquet files contain sample data that includes a driver_id column, timestamps and # three feature column. Here we define a Feature View that will allow us to serve this # data to our model online. driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=["driver"], + entities=[driver], ttl=timedelta(days=1), schema=[ Field(name="conv_rate", dtype=Float32), diff --git a/sdk/python/feast/templates/postgres/driver_repo.py b/sdk/python/feast/templates/postgres/driver_repo.py index 34bc0022e23..4096943bb73 100644 --- a/sdk/python/feast/templates/postgres/driver_repo.py +++ b/sdk/python/feast/templates/postgres/driver_repo.py @@ -18,7 +18,7 @@ driver_stats_fv = FeatureView( name="driver_hourly_stats", - entities=["driver_id"], + entities=[driver], ttl=timedelta(weeks=52), schema=[ Field(name="conv_rate", dtype=Float32), diff --git a/sdk/python/feast/templates/snowflake/driver_repo.py b/sdk/python/feast/templates/snowflake/driver_repo.py index ecccb9863bc..873e2b163e7 100644 --- a/sdk/python/feast/templates/snowflake/driver_repo.py +++ b/sdk/python/feast/templates/snowflake/driver_repo.py @@ -43,7 +43,7 @@ # The list of entities specifies the keys required for joining or looking # up features from this feature view. The reference provided in this field # correspond to the name of a defined entity (or entities) - entities=["driver"], + entities=[driver], # The timedelta is the maximum age that each feature value may have # relative to its lookup time. For historical features (used in training), # TTL is relative to each timestamp provided in the entity dataframe. diff --git a/sdk/python/feast/templates/spark/example.py b/sdk/python/feast/templates/spark/example.py index 58f3df740f3..41f86ef3c1f 100644 --- a/sdk/python/feast/templates/spark/example.py +++ b/sdk/python/feast/templates/spark/example.py @@ -5,7 +5,7 @@ from datetime import timedelta from pathlib import Path -from feast import Entity, FeatureView, Field, ValueType +from feast import Entity, FeatureView, Field from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import ( SparkSource, ) @@ -16,10 +16,8 @@ # Entity definitions -driver = Entity(name="driver", value_type=ValueType.INT64, description="driver id",) -customer = Entity( - name="customer", value_type=ValueType.INT64, description="customer id", -) +driver = Entity(name="driver", description="driver id",) +customer = Entity(name="customer", description="customer id",) # Sources driver_hourly_stats = SparkSource( @@ -40,7 +38,7 @@ # Feature Views driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=["driver"], + entities=[driver], ttl=timedelta(days=7), schema=[ Field(name="conv_rate", dtype=Float32), @@ -53,7 +51,7 @@ ) customer_daily_profile_view = FeatureView( name="customer_daily_profile", - entities=["customer"], + entities=[customer], ttl=timedelta(days=7), schema=[ Field(name="current_balance", dtype=Float32), diff --git a/sdk/python/tests/data/data_creator.py b/sdk/python/tests/data/data_creator.py index e08597b67b2..186c39b9ef4 100644 --- a/sdk/python/tests/data/data_creator.py +++ b/sdk/python/tests/data/data_creator.py @@ -4,11 +4,11 @@ import pandas as pd from pytz import timezone, utc -from feast.value_type import ValueType +from feast.types import FeastType, Float32, Int32, Int64, String def create_dataset( - entity_type: ValueType = ValueType.INT32, + entity_type: FeastType = Int32, feature_dtype: str = None, feature_is_list: bool = False, list_has_empty_list: bool = False, @@ -16,7 +16,7 @@ def create_dataset( now = datetime.utcnow().replace(microsecond=0, second=0, minute=0) ts = pd.Timestamp(now).round("ms") data = { - "driver_id": get_entities_for_value_type(entity_type), + "driver_id": get_entities_for_feast_type(entity_type), "value": get_feature_values_for_dtype( feature_dtype, feature_is_list, list_has_empty_list ), @@ -37,14 +37,14 @@ def create_dataset( return pd.DataFrame.from_dict(data) -def get_entities_for_value_type(value_type: ValueType) -> List: - value_type_map: Dict[ValueType, List] = { - ValueType.INT32: [1, 2, 1, 3, 3], - ValueType.INT64: [1, 2, 1, 3, 3], - ValueType.FLOAT: [1.0, 2.0, 1.0, 3.0, 3.0], - ValueType.STRING: ["1", "2", "1", "3", "3"], +def get_entities_for_feast_type(feast_type: FeastType) -> List: + feast_type_map: Dict[FeastType, List] = { + Int32: [1, 2, 1, 3, 3], + Int64: [1, 2, 1, 3, 3], + Float32: [1.0, 2.0, 1.0, 3.0, 3.0], + String: ["1", "2", "1", "3", "3"], } - return value_type_map[value_type] + return feast_type_map[feast_type] def get_feature_values_for_dtype( diff --git a/sdk/python/tests/doctest/test_all.py b/sdk/python/tests/doctest/test_all.py index 65d5f3da289..31f181ad535 100644 --- a/sdk/python/tests/doctest/test_all.py +++ b/sdk/python/tests/doctest/test_all.py @@ -11,15 +11,13 @@ def setup_feature_store(): """Prepares the local environment for a FeatureStore docstring test.""" from datetime import datetime, timedelta - from feast import Entity, FeatureStore, FeatureView, Field, FileSource, ValueType + from feast import Entity, FeatureStore, FeatureView, Field, FileSource from feast.repo_operations import init_repo from feast.types import Float32, Int64 init_repo("feature_repo", "local") fs = FeatureStore(repo_path="feature_repo") - driver = Entity( - name="driver_id", value_type=ValueType.INT64, description="driver id", - ) + driver = Entity(name="driver_id", description="driver id",) driver_hourly_stats = FileSource( path="feature_repo/data/driver_stats.parquet", timestamp_field="event_timestamp", @@ -27,7 +25,7 @@ def setup_feature_store(): ) driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=["driver_id"], + entities=[driver], ttl=timedelta(seconds=86400 * 1), schema=[ Field(name="conv_rate", dtype=Float32), diff --git a/sdk/python/tests/example_repos/example_feature_repo_1.py b/sdk/python/tests/example_repos/example_feature_repo_1.py index d8b6d7c89b1..8d6d96d9ef1 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_1.py +++ b/sdk/python/tests/example_repos/example_feature_repo_1.py @@ -1,14 +1,6 @@ from datetime import timedelta -from feast import ( - BigQuerySource, - Entity, - FeatureService, - FeatureView, - Field, - PushSource, - ValueType, -) +from feast import BigQuerySource, Entity, FeatureService, FeatureView, Field, PushSource from feast.types import Float32, Int64, String driver_locations_source = BigQuerySource( @@ -46,22 +38,24 @@ driver = Entity( name="driver", # The name is derived from this argument, not object name. join_keys=["driver_id"], - value_type=ValueType.INT64, description="driver id", ) customer = Entity( name="customer", # The name is derived from this argument, not object name. join_keys=["customer_id"], - value_type=ValueType.STRING, ) driver_locations = FeatureView( name="driver_locations", - entities=["driver"], + entities=[driver], ttl=timedelta(days=1), - schema=[Field(name="lat", dtype=Float32), Field(name="lon", dtype=String)], + schema=[ + Field(name="lat", dtype=Float32), + Field(name="lon", dtype=String), + Field(name="driver_id", dtype=Int64), + ], online=True, batch_source=driver_locations_source, tags={}, @@ -69,11 +63,12 @@ pushed_driver_locations = FeatureView( name="pushed_driver_locations", - entities=["driver"], + entities=[driver], ttl=timedelta(days=1), schema=[ Field(name="driver_lat", dtype=Float32), Field(name="driver_long", dtype=String), + Field(name="driver_id", dtype=Int64), ], online=True, stream_source=driver_locations_push_source, @@ -82,12 +77,13 @@ customer_profile = FeatureView( name="customer_profile", - entities=["customer"], + entities=[customer], ttl=timedelta(days=1), schema=[ Field(name="avg_orders_day", dtype=Float32), Field(name="name", dtype=String), Field(name="age", dtype=Int64), + Field(name="customer_id", dtype=String), ], online=True, batch_source=customer_profile_source, @@ -96,9 +92,13 @@ customer_driver_combined = FeatureView( name="customer_driver_combined", - entities=["customer", "driver"], + entities=[customer, driver], ttl=timedelta(days=1), - schema=[Field(name="trips", dtype=Int64)], + schema=[ + Field(name="trips", dtype=Int64), + Field(name="driver_id", dtype=Int64), + Field(name="customer_id", dtype=String), + ], online=True, batch_source=customer_driver_combined_source, tags={}, diff --git a/sdk/python/tests/example_repos/example_feature_repo_2.py b/sdk/python/tests/example_repos/example_feature_repo_2.py index 1ca7cc3805c..75e99aa4b9c 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_2.py +++ b/sdk/python/tests/example_repos/example_feature_repo_2.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, FileSource, ValueType +from feast import Entity, FeatureView, Field, FileSource from feast.types import Float32, Int32, Int64 driver_hourly_stats = FileSource( @@ -9,17 +9,18 @@ created_timestamp_column="created", ) -driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id",) +driver = Entity(name="driver_id", description="driver id",) driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=["driver_id"], + entities=[driver], ttl=timedelta(days=1), schema=[ Field(name="conv_rate", dtype=Float32), Field(name="acc_rate", dtype=Float32), Field(name="avg_daily_trips", dtype=Int64), + Field(name="driver_id", dtype=Int32), ], online=True, batch_source=driver_hourly_stats, diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py b/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py index cbcc3ad172b..4b079999ed7 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py +++ b/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py @@ -1,14 +1,16 @@ from datetime import timedelta -from feast import FeatureView, FileSource +from feast import Entity, FeatureView, FileSource driver_hourly_stats = FileSource( path="driver_stats.parquet", # this parquet is not real and will not be read ) +driver = Entity(name="driver_id", description="driver id", join_keys=["driver"],) + driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", # Intentionally use the same FeatureView name - entities=["driver_id"], + entities=[driver], online=False, source=driver_hourly_stats, ttl=timedelta(days=1), @@ -17,7 +19,7 @@ driver_hourly_stats_view_dup1 = FeatureView( name="driver_hourly_stats", # Intentionally use the same FeatureView name - entities=["driver_id"], + entities=[driver], online=False, source=driver_hourly_stats, ttl=timedelta(days=1), diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py index ba18cf84bae..4bc0923e195 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py +++ b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, FileSource, ValueType +from feast import Entity, FeatureView, Field, FileSource from feast.types import Float32, Int64 driver_hourly_stats = FileSource( @@ -11,17 +11,12 @@ # The join key here is deliberately different from the parquet file to test the failure path. -driver = Entity( - name="driver_id", - value_type=ValueType.INT64, - description="driver id", - join_keys=["driver"], -) +driver = Entity(name="driver_id", description="driver id", join_keys=["driver"],) driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=["driver_id"], + entities=[driver], ttl=timedelta(days=1), schema=[ Field(name="conv_rate", dtype=Float32), diff --git a/sdk/python/tests/integration/e2e/test_usage_e2e.py b/sdk/python/tests/integration/e2e/test_usage_e2e.py index 12c1eb86281..53e4a32a82e 100644 --- a/sdk/python/tests/integration/e2e/test_usage_e2e.py +++ b/sdk/python/tests/integration/e2e/test_usage_e2e.py @@ -19,7 +19,7 @@ import pytest -from feast import Entity, RepoConfig, ValueType +from feast import Entity, RepoConfig from feast.infra.online_stores.sqlite import SqliteOnlineStoreConfig @@ -60,7 +60,6 @@ def test_usage_on(dummy_exporter, enabling_toggle): entity = Entity( name="driver_car_id", description="Car driver id", - value_type=ValueType.STRING, tags={"team": "matchmaking"}, ) @@ -99,7 +98,6 @@ def test_usage_off(dummy_exporter, enabling_toggle): entity = Entity( name="driver_car_id", description="Car driver id", - value_type=ValueType.STRING, tags={"team": "matchmaking"}, ) test_feature_store.apply([entity]) diff --git a/sdk/python/tests/integration/feature_repos/universal/entities.py b/sdk/python/tests/integration/feature_repos/universal/entities.py index b7a7583f1b3..66989b06468 100644 --- a/sdk/python/tests/integration/feature_repos/universal/entities.py +++ b/sdk/python/tests/integration/feature_repos/universal/entities.py @@ -1,22 +1,21 @@ -from feast import Entity, ValueType +from feast import Entity -def driver(value_type: ValueType = ValueType.INT64): +def driver(): return Entity( name="driver", # The name is derived from this argument, not object name. - value_type=value_type, description="driver id", join_keys=["driver_id"], ) def customer(): - return Entity(name="customer_id", value_type=ValueType.INT64) + return Entity(name="customer_id") def location(): - return Entity(name="location_id", value_type=ValueType.INT64) + return Entity(name="location_id") def item(): - return Entity(name="item_id", value_type=ValueType.INT64) + return Entity(name="item_id") diff --git a/sdk/python/tests/integration/feature_repos/universal/feature_views.py b/sdk/python/tests/integration/feature_repos/universal/feature_views.py index 26c2513995f..b93ad987fa4 100644 --- a/sdk/python/tests/integration/feature_repos/universal/feature_views.py +++ b/sdk/python/tests/integration/feature_repos/universal/feature_views.py @@ -14,8 +14,13 @@ ValueType, ) from feast.data_source import DataSource, RequestSource -from feast.types import Array, FeastType, Float32, Float64, Int32 -from tests.integration.feature_repos.universal.entities import location +from feast.types import Array, FeastType, Float32, Float64, Int32, Int64 +from tests.integration.feature_repos.universal.entities import ( + customer, + driver, + item, + location, +) def driver_feature_view( @@ -23,11 +28,14 @@ def driver_feature_view( name="test_correctness", infer_features: bool = False, dtype: FeastType = Float32, + entity_type: FeastType = Int64, ) -> FeatureView: + d = driver() return FeatureView( name=name, - entities=["driver"], - schema=None if infer_features else [Field(name="value", dtype=dtype)], + entities=[d], + schema=[Field(name=d.join_key, dtype=entity_type)] + + ([] if infer_features else [Field(name="value", dtype=dtype)]), ttl=timedelta(days=5), source=data_source, ) @@ -138,7 +146,7 @@ def create_similarity_request_source(): def create_item_embeddings_feature_view(source, infer_features: bool = False): item_embeddings_feature_view = FeatureView( name="item_embeddings", - entities=["item"], + entities=[item()], schema=None if infer_features else [ @@ -156,7 +164,7 @@ def create_item_embeddings_batch_feature_view( ) -> BatchFeatureView: item_embeddings_feature_view = BatchFeatureView( name="item_embeddings", - entities=["item"], + entities=[item()], schema=None if infer_features else [ @@ -170,15 +178,19 @@ def create_item_embeddings_batch_feature_view( def create_driver_hourly_stats_feature_view(source, infer_features: bool = False): + # TODO(felixwang9817): Figure out why not adding an entity field here + # breaks type tests. + d = driver() driver_stats_feature_view = FeatureView( name="driver_stats", - entities=["driver"], + entities=[d], schema=None if infer_features else [ Field(name="conv_rate", dtype=Float32), Field(name="acc_rate", dtype=Float32), Field(name="avg_daily_trips", dtype=Int32), + Field(name=d.join_key, dtype=Int64), ], source=source, ttl=timedelta(hours=2), @@ -191,7 +203,7 @@ def create_driver_hourly_stats_batch_feature_view( ) -> BatchFeatureView: driver_stats_feature_view = BatchFeatureView( name="driver_stats", - entities=["driver"], + entities=[driver()], schema=None if infer_features else [ @@ -208,7 +220,7 @@ def create_driver_hourly_stats_batch_feature_view( def create_customer_daily_profile_feature_view(source, infer_features: bool = False): customer_profile_feature_view = FeatureView( name="customer_profile", - entities=["customer_id"], + entities=[customer()], schema=None if infer_features else [ @@ -242,10 +254,13 @@ def create_global_stats_feature_view(source, infer_features: bool = False): def create_order_feature_view(source, infer_features: bool = False): return FeatureView( name="order", - entities=["driver", "customer_id"], + entities=[customer(), driver()], schema=None if infer_features - else [Field(name="order_is_success", dtype=Int32)], + else [ + Field(name="order_is_success", dtype=Int32), + Field(name="driver_id", dtype=Int64), + ], source=source, ttl=timedelta(days=2), ) @@ -255,7 +270,12 @@ def create_location_stats_feature_view(source, infer_features: bool = False): location_stats_feature_view = FeatureView( name="location_stats", entities=[location()], - schema=None if infer_features else [Field(name="temperature", dtype=Int32)], + schema=None + if infer_features + else [ + Field(name="temperature", dtype=Int32), + Field(name="location_id", dtype=Int64), + ], source=source, ttl=timedelta(days=2), ) @@ -279,9 +299,11 @@ def create_pushable_feature_view(batch_source: DataSource): ) return FeatureView( name="pushable_location_stats", - entities=["location_id"], - # Test that Features still work for FeatureViews. - features=[Feature(name="temperature", dtype=ValueType.INT32)], + entities=[location()], + schema=[ + Field(name="temperature", dtype=Int32), + Field(name="location_id", dtype=Int64), + ], ttl=timedelta(days=2), source=push_source, ) diff --git a/sdk/python/tests/integration/offline_store/test_feature_logging.py b/sdk/python/tests/integration/offline_store/test_feature_logging.py index 6dda2e63a9d..8e6be052c84 100644 --- a/sdk/python/tests/integration/offline_store/test_feature_logging.py +++ b/sdk/python/tests/integration/offline_store/test_feature_logging.py @@ -26,7 +26,11 @@ UniversalDatasets, construct_universal_feature_views, ) -from tests.integration.feature_repos.universal.entities import driver +from tests.integration.feature_repos.universal.entities import ( + customer, + driver, + location, +) from tests.integration.feature_repos.universal.feature_views import conv_rate_plus_100 @@ -39,7 +43,7 @@ def test_feature_service_logging(environment, universal_data_sources, pass_as_pa (_, datasets, data_sources) = universal_data_sources feature_views = construct_universal_feature_views(data_sources) - store.apply([driver(), *feature_views.values()]) + store.apply([customer(), driver(), location(), *feature_views.values()]) logs_df = prepare_logs(datasets) diff --git a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py index b62f7cda243..c99d19b0964 100644 --- a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py +++ b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py @@ -22,7 +22,6 @@ DEFAULT_ENTITY_DF_EVENT_TIMESTAMP_COL, ) from feast.types import Int32 -from feast.value_type import ValueType from tests.integration.feature_repos.repo_configuration import ( construct_universal_feature_views, table_name_from_data_source, @@ -689,10 +688,10 @@ def test_historical_features_from_bigquery_sources_containing_backfills(environm created_timestamp_column="created", ) - driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64) + driver = Entity(name="driver", join_keys=["driver_id"]) driver_fv = FeatureView( name="driver_stats", - entities=["driver"], + entities=[driver], schema=[Field(name="avg_daily_trips", dtype=Int32)], batch_source=driver_stats_data_source, ttl=None, diff --git a/sdk/python/tests/integration/online_store/test_universal_online.py b/sdk/python/tests/integration/online_store/test_universal_online.py index f4440dbfbcf..2af5fe543d4 100644 --- a/sdk/python/tests/integration/online_store/test_universal_online.py +++ b/sdk/python/tests/integration/online_store/test_universal_online.py @@ -13,7 +13,7 @@ import requests from botocore.exceptions import BotoCoreError -from feast import Entity, FeatureService, FeatureView, Field, ValueType +from feast import Entity, FeatureService, FeatureView, Field from feast.errors import ( FeatureNameCollisionError, RequestDataNotFoundInEntityRowsException, @@ -115,13 +115,13 @@ def test_write_to_online_store_event_check(local_redis_environment): } dataframe_source = pd.DataFrame(data) with prep_file_source(df=dataframe_source, timestamp_field="ts_1") as file_source: - e = Entity(name="id", value_type=ValueType.STRING) + e = Entity(name="id") # Create Feature View fv1 = FeatureView( name="feature_view_123", schema=[Field(name="string_col", dtype=String)], - entities=["id"], + entities=[e], batch_source=file_source, ttl=timedelta(minutes=5), ) diff --git a/sdk/python/tests/integration/registration/test_feature_store.py b/sdk/python/tests/integration/registration/test_feature_store.py index db4c6700cec..88a4b9f2491 100644 --- a/sdk/python/tests/integration/registration/test_feature_store.py +++ b/sdk/python/tests/integration/registration/test_feature_store.py @@ -27,10 +27,8 @@ from feast.infra.offline_stores.file import FileOfflineStoreConfig from feast.infra.online_stores.dynamodb import DynamoDBOnlineStoreConfig from feast.infra.online_stores.sqlite import SqliteOnlineStoreConfig -from feast.protos.feast.types import Value_pb2 as ValueProto from feast.repo_config import RepoConfig from feast.types import Array, Bytes, Float64, Int64, String -from feast.value_type import ValueType from tests.utils.data_source_utils import ( prep_file_source, simple_bq_source_using_query_arg, @@ -93,10 +91,7 @@ def feature_store_with_s3_registry(): ) def test_apply_entity_success(test_feature_store): entity = Entity( - name="driver_car_id", - description="Car driver id", - value_type=ValueType.STRING, - tags={"team": "matchmaking"}, + name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, ) # Register Entity @@ -108,7 +103,6 @@ def test_apply_entity_success(test_feature_store): assert ( len(entities) == 1 and entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -127,10 +121,7 @@ def test_apply_entity_success(test_feature_store): ) def test_apply_entity_integration(test_feature_store): entity = Entity( - name="driver_car_id", - description="Car driver id", - value_type=ValueType.STRING, - tags={"team": "matchmaking"}, + name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, ) # Register Entity @@ -142,7 +133,6 @@ def test_apply_entity_integration(test_feature_store): assert ( len(entities) == 1 and entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -151,7 +141,6 @@ def test_apply_entity_integration(test_feature_store): entity = test_feature_store.get_entity("driver_car_id") assert ( entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -173,6 +162,8 @@ def test_apply_feature_view_success(test_feature_store): date_partition_column="date_partition_col", ) + entity = Entity(name="fs1_my_entity_1", join_keys=["entity_id"]) + fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -180,15 +171,16 @@ def test_apply_feature_view_success(test_feature_store): Field(name="fs1_my_feature_2", dtype=String), Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), + Field(name="entity_id", dtype=Int64), ], - entities=["fs1_my_entity_1"], + entities=[entity], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), ) # Register Feature View - test_feature_store.apply([fv1]) + test_feature_store.apply([entity, fv1]) feature_views = test_feature_store.list_feature_views() @@ -217,13 +209,11 @@ def test_apply_feature_view_success(test_feature_store): @pytest.mark.parametrize("dataframe_source", [lazy_fixture("simple_dataset_1")]) def test_feature_view_inference_success(test_feature_store, dataframe_source): with prep_file_source(df=dataframe_source, timestamp_field="ts_1") as file_source: - entity = Entity( - name="id", join_keys=["id_join_key"], value_type=ValueType.INT64 - ) + entity = Entity(name="id", join_keys=["id_join_key"]) fv1 = FeatureView( name="fv1", - entities=["id"], + entities=[entity], ttl=timedelta(minutes=5), online=True, batch_source=file_source, @@ -232,7 +222,7 @@ def test_feature_view_inference_success(test_feature_store, dataframe_source): fv2 = FeatureView( name="fv2", - entities=["id"], + entities=[entity], ttl=timedelta(minutes=5), online=True, batch_source=simple_bq_source_using_table_arg(dataframe_source, "ts_1"), @@ -241,7 +231,7 @@ def test_feature_view_inference_success(test_feature_store, dataframe_source): fv3 = FeatureView( name="fv3", - entities=["id"], + entities=[entity], ttl=timedelta(minutes=5), online=True, batch_source=simple_bq_source_using_query_arg(dataframe_source, "ts_1"), @@ -296,6 +286,8 @@ def test_apply_feature_view_integration(test_feature_store): date_partition_column="date_partition_col", ) + entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) + fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -303,15 +295,16 @@ def test_apply_feature_view_integration(test_feature_store): Field(name="fs1_my_feature_2", dtype=String), Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), + Field(name="test", dtype=Int64), ], - entities=["fs1_my_entity_1"], + entities=[entity], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), ) # Register Feature View - test_feature_store.apply([fv1]) + test_feature_store.apply([fv1, entity]) feature_views = test_feature_store.list_feature_views() @@ -364,13 +357,9 @@ def test_apply_object_and_read(test_feature_store): created_timestamp_column="timestamp", ) - e1 = Entity( - name="fs1_my_entity_1", value_type=ValueType.STRING, description="something" - ) + e1 = Entity(name="fs1_my_entity_1", description="something") - e2 = Entity( - name="fs1_my_entity_2", value_type=ValueType.STRING, description="something" - ) + e2 = Entity(name="fs1_my_entity_2", description="something") fv1 = FeatureView( name="my_feature_view_1", @@ -379,8 +368,9 @@ def test_apply_object_and_read(test_feature_store): Field(name="fs1_my_feature_2", dtype=String), Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), + Field(name="fs1_my_entity_1", dtype=Int64), ], - entities=["fs1_my_entity_1"], + entities=[e1], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -393,8 +383,9 @@ def test_apply_object_and_read(test_feature_store): Field(name="fs1_my_feature_2", dtype=String), Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), + Field(name="fs1_my_entity_2", dtype=Int64), ], - entities=["fs1_my_entity_1"], + entities=[e2], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -406,7 +397,6 @@ def test_apply_object_and_read(test_feature_store): fv1_actual = test_feature_store.get_feature_view("my_feature_view_1") e1_actual = test_feature_store.get_entity("fs1_my_entity_1") - assert fv1 == fv1_actual assert e1 == e1_actual assert fv2 != fv1_actual assert e2 != e1_actual @@ -434,13 +424,13 @@ def test_apply_remote_repo(): def test_reapply_feature_view_success(test_feature_store, dataframe_source): with prep_file_source(df=dataframe_source, timestamp_field="ts_1") as file_source: - e = Entity(name="id", join_keys=["id_join_key"], value_type=ValueType.STRING) + e = Entity(name="id", join_keys=["id_join_key"]) # Create Feature View fv1 = FeatureView( name="my_feature_view_1", schema=[Field(name="string_col", dtype=String)], - entities=["id"], + entities=[e], batch_source=file_source, ttl=timedelta(minutes=5), ) @@ -470,7 +460,7 @@ def test_reapply_feature_view_success(test_feature_store, dataframe_source): fv1 = FeatureView( name="my_feature_view_1", schema=[Field(name="int64_col", dtype=Int64)], - entities=["id"], + entities=[e], batch_source=file_source, ttl=timedelta(minutes=5), ) @@ -485,10 +475,12 @@ def test_reapply_feature_view_success(test_feature_store, dataframe_source): def test_apply_conflicting_featureview_names(feature_store_with_local_registry): """Test applying feature views with non-case-insensitively unique names""" + driver = Entity(name="driver", join_keys=["driver_id"]) + customer = Entity(name="customer", join_keys=["customer_id"]) driver_stats = FeatureView( name="driver_hourly_stats", - entities=["driver_id"], + entities=[driver], ttl=timedelta(seconds=10), online=False, batch_source=FileSource(path="driver_stats.parquet"), @@ -497,7 +489,7 @@ def test_apply_conflicting_featureview_names(feature_store_with_local_registry): customer_stats = FeatureView( name="DRIVER_HOURLY_STATS", - entities=["id"], + entities=[customer], ttl=timedelta(seconds=10), online=False, batch_source=FileSource(path="customer_stats.parquet"), diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py index 8b719eb733d..aab79af7091 100644 --- a/sdk/python/tests/integration/registration/test_inference.py +++ b/sdk/python/tests/integration/registration/test_inference.py @@ -23,8 +23,7 @@ from feast.field import Field from feast.inference import ( update_data_sources_with_inferred_event_timestamp_col, - update_entities_with_inferred_types_from_feature_views, - update_feature_views_with_inferred_features, + update_feature_views_with_inferred_features_and_entities, ) from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import ( SparkSource, @@ -38,47 +37,6 @@ ) -def test_update_entities_with_inferred_types_from_feature_views( - simple_dataset_1, simple_dataset_2 -): - with prep_file_source( - df=simple_dataset_1, timestamp_field="ts_1" - ) as file_source, prep_file_source( - df=simple_dataset_2, timestamp_field="ts_1" - ) as file_source_2: - - fv1 = FeatureView( - name="fv1", entities=["id"], batch_source=file_source, ttl=None, - ) - fv2 = FeatureView( - name="fv2", entities=["id"], batch_source=file_source_2, ttl=None, - ) - - actual_1 = Entity(name="id", join_keys=["id_join_key"]) - actual_2 = Entity(name="id", join_keys=["id_join_key"]) - - update_entities_with_inferred_types_from_feature_views( - [actual_1], [fv1], RepoConfig(provider="local", project="test") - ) - update_entities_with_inferred_types_from_feature_views( - [actual_2], [fv2], RepoConfig(provider="local", project="test") - ) - assert actual_1 == Entity( - name="id", join_keys=["id_join_key"], value_type=ValueType.INT64 - ) - assert actual_2 == Entity( - name="id", join_keys=["id_join_key"], value_type=ValueType.STRING - ) - - with pytest.raises(RegistryInferenceFailure): - # two viable data types - update_entities_with_inferred_types_from_feature_views( - [Entity(name="id", join_keys=["id_join_key"])], - [fv1, fv2], - RepoConfig(provider="local", project="test"), - ) - - def test_infer_datasource_names_file(): file_path = "path/to/test.csv" data_source = FileSource(path=file_path) @@ -287,7 +245,7 @@ def test_view_with_missing_feature(features_df: pd.DataFrame) -> pd.DataFrame: test_view_with_missing_feature.infer_features() -def test_update_feature_views_with_inferred_features(): +def test_update_feature_views_with_inferred_features_and_entities(): file_source = FileSource(name="test", path="test path") entity1 = Entity(name="test1", join_keys=["test_column_1"]) entity2 = Entity(name="test2", join_keys=["test_column_2"]) @@ -312,23 +270,26 @@ def test_update_feature_views_with_inferred_features(): ) assert len(feature_view_1.schema) == 2 - assert len(feature_view_1.features) == 2 + assert len(feature_view_1.features) == 1 # The entity field should be deleted from the schema and features of the feature view. - update_feature_views_with_inferred_features( + update_feature_views_with_inferred_features_and_entities( [feature_view_1], [entity1], RepoConfig(provider="local", project="test") ) - assert len(feature_view_1.schema) == 1 + assert len(feature_view_1.schema) == 2 assert len(feature_view_1.features) == 1 assert len(feature_view_2.schema) == 3 - assert len(feature_view_2.features) == 3 + assert len(feature_view_2.features) == 1 # The entity fields should be deleted from the schema and features of the feature view. - update_feature_views_with_inferred_features( + update_feature_views_with_inferred_features_and_entities( [feature_view_2], [entity1, entity2], RepoConfig(provider="local", project="test"), ) - assert len(feature_view_2.schema) == 1 + assert len(feature_view_2.schema) == 3 assert len(feature_view_2.features) == 1 + + +# TODO(felixwang9817): Add tests that interact with field mapping. diff --git a/sdk/python/tests/integration/registration/test_registry.py b/sdk/python/tests/integration/registration/test_registry.py index f011d73d2dd..dde31ac9e0e 100644 --- a/sdk/python/tests/integration/registration/test_registry.py +++ b/sdk/python/tests/integration/registration/test_registry.py @@ -26,7 +26,6 @@ from feast.feature_view import FeatureView from feast.field import Field from feast.on_demand_feature_view import RequestSource, on_demand_feature_view -from feast.protos.feast.types import Value_pb2 as ValueProto from feast.registry import Registry from feast.repo_config import RegistryConfig from feast.types import Array, Bytes, Float32, Int32, Int64, String @@ -73,10 +72,7 @@ def s3_registry() -> Registry: ) def test_apply_entity_success(test_registry): entity = Entity( - name="driver_car_id", - description="Car driver id", - value_type=ValueType.STRING, - tags={"team": "matchmaking"}, + name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, ) project = "project" @@ -90,7 +86,6 @@ def test_apply_entity_success(test_registry): assert ( len(entities) == 1 and entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -99,7 +94,6 @@ def test_apply_entity_success(test_registry): entity = test_registry.get_entity("driver_car_id", project) assert ( entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -122,10 +116,7 @@ def test_apply_entity_success(test_registry): ) def test_apply_entity_integration(test_registry): entity = Entity( - name="driver_car_id", - description="Car driver id", - value_type=ValueType.STRING, - tags={"team": "matchmaking"}, + name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, ) project = "project" @@ -139,7 +130,6 @@ def test_apply_entity_integration(test_registry): assert ( len(entities) == 1 and entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -148,7 +138,6 @@ def test_apply_entity_integration(test_registry): entity = test_registry.get_entity("driver_car_id", project) assert ( entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -173,6 +162,8 @@ def test_apply_feature_view_success(test_registry): created_timestamp_column="timestamp", ) + entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) + fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -181,7 +172,7 @@ def test_apply_feature_view_success(test_registry): Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), ], - entities=["fs1_my_entity_1"], + entities=[entity], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -253,10 +244,12 @@ def test_modify_feature_views_success(test_registry, request_source_schema): request_source = RequestSource(name="request_source", schema=request_source_schema,) + entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) + fv1 = FeatureView( name="my_feature_view_1", schema=[Field(name="fs1_my_feature_1", dtype=Int64)], - entities=["fs1_my_entity_1"], + entities=[entity], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -369,6 +362,8 @@ def test_apply_feature_view_integration(test_registry): created_timestamp_column="timestamp", ) + entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) + fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -377,7 +372,7 @@ def test_apply_feature_view_integration(test_registry): Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), ], - entities=["fs1_my_entity_1"], + entities=[entity], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -444,6 +439,8 @@ def test_apply_data_source(test_registry: Registry): created_timestamp_column="timestamp", ) + entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) + fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -452,7 +449,7 @@ def test_apply_data_source(test_registry: Registry): Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), ], - entities=["fs1_my_entity_1"], + entities=[entity], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -499,10 +496,7 @@ def test_commit(): test_registry = Registry(registry_config, None) entity = Entity( - name="driver_car_id", - description="Car driver id", - value_type=ValueType.STRING, - tags={"team": "matchmaking"}, + name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, ) project = "project" @@ -517,7 +511,6 @@ def test_commit(): assert ( len(entities) == 1 and entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -526,7 +519,6 @@ def test_commit(): entity = test_registry.get_entity("driver_car_id", project, allow_cache=True) assert ( entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -552,7 +544,6 @@ def test_commit(): assert ( len(entities) == 1 and entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -561,7 +552,6 @@ def test_commit(): entity = test_registry.get_entity("driver_car_id", project) assert ( entity.name == "driver_car_id" - and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" diff --git a/sdk/python/tests/integration/registration/test_universal_types.py b/sdk/python/tests/integration/registration/test_universal_types.py index 81fa0200fdd..cfb0393d2f2 100644 --- a/sdk/python/tests/integration/registration/test_universal_types.py +++ b/sdk/python/tests/integration/registration/test_universal_types.py @@ -9,8 +9,17 @@ import pytest from feast.infra.offline_stores.offline_store import RetrievalJob -from feast.types import Array, Bool, Float32, Int32, Int64, UnixTimestamp -from feast.value_type import ValueType +from feast.types import ( + Array, + Bool, + FeastType, + Float32, + Float64, + Int32, + Int64, + String, + UnixTimestamp, +) from tests.data.data_creator import create_dataset from tests.integration.feature_repos.repo_configuration import ( FULL_REPO_CONFIGS, @@ -26,11 +35,11 @@ def populate_test_configs(offline: bool): entity_type_feature_dtypes = [ - (ValueType.INT32, "int32"), - (ValueType.INT64, "int64"), - (ValueType.STRING, "float"), - (ValueType.STRING, "bool"), - (ValueType.INT32, "datetime"), + (Int32, "int32"), + (Int64, "int64"), + (String, "float"), + (String, "bool"), + (Int32, "datetime"), ] configs: List[TypeTestConfig] = [] for test_repo_config in FULL_REPO_CONFIGS: @@ -60,7 +69,7 @@ def populate_test_configs(offline: bool): @dataclass(frozen=True, repr=True) class TypeTestConfig: - entity_type: ValueType + entity_type: FeastType feature_dtype: str feature_is_list: bool has_empty_list: bool @@ -117,6 +126,7 @@ def get_fixtures(request): config.feature_is_list, config.has_empty_list, data_source, + config.entity_type, ) def cleanup(): @@ -138,20 +148,29 @@ def test_entity_inference_types_match(offline_types_test_fixtures): environment, config, data_source, fv = offline_types_test_fixtures fs = environment.feature_store - # Don't specify value type in entity to force inference - entity = driver(value_type=ValueType.UNKNOWN) + # TODO(felixwang9817): Refactor this by finding a better way to force type inference. + # Override the schema and entity_columns to force entity inference. + entity = driver() + fv.schema = list(filter(lambda x: x.name != entity.join_key, fv.schema)) + fv.entity_columns = [] fs.apply([fv, entity]) entities = fs.list_entities() entity_type_to_expected_inferred_entity_type = { - ValueType.INT32: ValueType.INT64, - ValueType.INT64: ValueType.INT64, - ValueType.FLOAT: ValueType.DOUBLE, - ValueType.STRING: ValueType.STRING, + Int32: Int64, + Int64: Int64, + Float32: Float64, + String: String, } + for entity in entities: + entity_columns = list( + filter(lambda x: x.name == entity.join_key, fv.entity_columns) + ) + assert len(entity_columns) == 1 + entity_column = entity_columns[0] assert ( - entity.value_type + entity_column.dtype == entity_type_to_expected_inferred_entity_type[config.entity_type] ) @@ -173,13 +192,12 @@ def test_feature_get_historical_features_types_match(offline_types_test_fixtures config.feature_is_list, config.has_empty_list, data_source, + config.entity_type, ) fs.apply([fv, entity]) entity_df = pd.DataFrame() - entity_df["driver_id"] = ( - ["1", "3"] if config.entity_type == ValueType.STRING else [1, 3] - ) + entity_df["driver_id"] = ["1", "3"] if config.entity_type == String else [1, 3] ts = pd.Timestamp(datetime.utcnow()).round("ms") entity_df["ts"] = [ ts - timedelta(hours=4), @@ -222,10 +240,11 @@ def test_feature_get_online_features_types_match(online_types_test_fixtures): config.feature_is_list, config.has_empty_list, data_source, + config.entity_type, ) fs = environment.feature_store features = [fv.name + ":value"] - entity = driver(value_type=config.entity_type) + entity = driver() fs.apply([fv, entity]) fs.materialize( environment.start_date, @@ -234,7 +253,7 @@ def test_feature_get_online_features_types_match(online_types_test_fixtures): # we can successfully infer type even from all empty values ) - driver_id_value = "1" if config.entity_type == ValueType.STRING else 1 + driver_id_value = "1" if config.entity_type == String else 1 online_features = fs.get_online_features( features=features, entity_rows=[{"driver_id": driver_id_value}], ).to_dict() @@ -267,7 +286,7 @@ def test_feature_get_online_features_types_match(online_types_test_fixtures): def create_feature_view( - name, feature_dtype, feature_is_list, has_empty_list, data_source + name, feature_dtype, feature_is_list, has_empty_list, data_source, entity_type ): if feature_is_list is True: if feature_dtype == "int32": @@ -292,7 +311,9 @@ def create_feature_view( elif feature_dtype == "datetime": dtype = UnixTimestamp - return driver_feature_view(data_source, name=name, dtype=dtype,) + return driver_feature_view( + data_source, name=name, dtype=dtype, entity_type=entity_type + ) def assert_expected_historical_feature_types( diff --git a/sdk/python/tests/integration/scaffolding/test_partial_apply.py b/sdk/python/tests/integration/scaffolding/test_partial_apply.py index 3ab9bf196f2..e5a7206b96c 100644 --- a/sdk/python/tests/integration/scaffolding/test_partial_apply.py +++ b/sdk/python/tests/integration/scaffolding/test_partial_apply.py @@ -2,7 +2,7 @@ import pytest -from feast import BigQuerySource, FeatureView, Field +from feast import BigQuerySource, Entity, FeatureView, Field from feast.types import Float32, String from tests.utils.cli_utils import CliRunner, get_example_repo from tests.utils.online_read_write_test import basic_rw_test @@ -19,6 +19,7 @@ def test_partial() -> None: with runner.local_repo( get_example_repo("example_feature_repo_1.py"), "bigquery" ) as store: + driver = Entity(name="driver", join_keys=["test"]) driver_locations_source = BigQuerySource( table="feast-oss.public.drivers", @@ -28,12 +29,13 @@ def test_partial() -> None: driver_locations_100 = FeatureView( name="driver_locations_100", - entities=["driver"], + entities=[driver], ttl=timedelta(days=1), schema=[ Field(name="lat", dtype=Float32), Field(name="lon", dtype=String), Field(name="name", dtype=String), + Field(name="test", dtype=String), ], online=True, batch_source=driver_locations_source, diff --git a/sdk/python/tests/unit/diff/test_registry_diff.py b/sdk/python/tests/unit/diff/test_registry_diff.py index 483dae73e26..ae10c834c83 100644 --- a/sdk/python/tests/unit/diff/test_registry_diff.py +++ b/sdk/python/tests/unit/diff/test_registry_diff.py @@ -2,34 +2,36 @@ diff_registry_objects, tag_objects_for_keep_delete_update_add, ) +from feast.entity import Entity from feast.feature_view import FeatureView from tests.utils.data_source_utils import prep_file_source def test_tag_objects_for_keep_delete_update_add(simple_dataset_1): with prep_file_source(df=simple_dataset_1, timestamp_field="ts_1") as file_source: + entity = Entity(name="id", join_keys=["id"]) to_delete = FeatureView( - name="to_delete", entities=["id"], batch_source=file_source, ttl=None, + name="to_delete", entities=[entity], batch_source=file_source, ttl=None, ) unchanged_fv = FeatureView( - name="fv1", entities=["id"], batch_source=file_source, ttl=None, + name="fv1", entities=[entity], batch_source=file_source, ttl=None, ) pre_changed = FeatureView( name="fv2", - entities=["id"], + entities=[entity], batch_source=file_source, ttl=None, tags={"when": "before"}, ) post_changed = FeatureView( name="fv2", - entities=["id"], + entities=[entity], batch_source=file_source, ttl=None, tags={"when": "after"}, ) to_add = FeatureView( - name="to_add", entities=["id"], batch_source=file_source, ttl=None, + name="to_add", entities=[entity], batch_source=file_source, ttl=None, ) keep, delete, update, add = tag_objects_for_keep_delete_update_add( @@ -52,16 +54,17 @@ def test_tag_objects_for_keep_delete_update_add(simple_dataset_1): def test_diff_registry_objects_feature_views(simple_dataset_1): with prep_file_source(df=simple_dataset_1, timestamp_field="ts_1") as file_source: + entity = Entity(name="id", join_keys=["id"]) pre_changed = FeatureView( name="fv2", - entities=["id"], + entities=[entity], batch_source=file_source, ttl=None, tags={"when": "before"}, ) post_changed = FeatureView( name="fv2", - entities=["id"], + entities=[entity], batch_source=file_source, ttl=None, tags={"when": "after"}, diff --git a/sdk/python/tests/unit/infra/test_provider.py b/sdk/python/tests/unit/infra/test_provider.py index 43c09760e9a..5ed5603b03b 100644 --- a/sdk/python/tests/unit/infra/test_provider.py +++ b/sdk/python/tests/unit/infra/test_provider.py @@ -20,14 +20,13 @@ from feast.field import Field from feast.infra.provider import _get_column_names from feast.types import String -from feast.value_type import ValueType def test_get_column_names_preserves_feature_ordering(): - entity = Entity("my-entity", description="My entity", value_type=ValueType.STRING) + entity = Entity("my-entity", description="My entity") fv = FeatureView( name="my-fv", - entities=["my-entity"], + entities=[entity], ttl=timedelta(days=1), batch_source=BigQuerySource(table="non-existent-mock"), schema=[ diff --git a/sdk/python/tests/unit/test_entity.py b/sdk/python/tests/unit/test_entity.py index 254a975f678..04a857ddefe 100644 --- a/sdk/python/tests/unit/test_entity.py +++ b/sdk/python/tests/unit/test_entity.py @@ -20,19 +20,14 @@ def test_join_key_default(): with pytest.deprecated_call(): - entity = Entity( - "my-entity", description="My entity", value_type=ValueType.STRING - ) + entity = Entity("my-entity", description="My entity") assert entity.join_key == "my-entity" def test_entity_class_contains_tags(): with pytest.deprecated_call(): entity = Entity( - "my-entity", - description="My entity", - value_type=ValueType.STRING, - tags={"key1": "val1", "key2": "val2"}, + "my-entity", description="My entity", tags={"key1": "val1", "key2": "val2"}, ) assert "key1" in entity.tags.keys() and entity.tags["key1"] == "val1" assert "key2" in entity.tags.keys() and entity.tags["key2"] == "val2" @@ -40,20 +35,18 @@ def test_entity_class_contains_tags(): def test_entity_without_tags_empty_dict(): with pytest.deprecated_call(): - entity = Entity( - "my-entity", description="My entity", value_type=ValueType.STRING - ) + entity = Entity("my-entity", description="My entity") assert entity.tags == dict() assert len(entity.tags) == 0 def test_entity_without_description(): with pytest.deprecated_call(): - Entity("my-entity", value_type=ValueType.STRING) + Entity("my-entity") def test_name_not_specified(): - assertpy.assert_that(lambda: Entity(value_type=ValueType.STRING)).raises(ValueError) + assertpy.assert_that(lambda: Entity()).raises(ValueError) def test_multiple_args(): @@ -61,15 +54,19 @@ def test_multiple_args(): def test_name_keyword(recwarn): - Entity(name="my-entity", value_type=ValueType.STRING) + Entity(name="my-entity") assert len(recwarn) == 0 + Entity(name="my-entity", join_key="test") + assert len(recwarn) == 1 + Entity(name="my-entity", join_keys=["test"]) + assert len(recwarn) == 1 def test_hash(): - entity1 = Entity(name="my-entity", value_type=ValueType.STRING) - entity2 = Entity(name="my-entity", value_type=ValueType.STRING) - entity3 = Entity(name="my-entity", value_type=ValueType.FLOAT) - entity4 = Entity(name="my-entity", value_type=ValueType.FLOAT, description="test") + entity1 = Entity(name="my-entity") + entity2 = Entity(name="my-entity") + entity3 = Entity(name="my-entity", join_keys=["not-my-entity"]) + entity4 = Entity(name="my-entity", join_keys=["not-my-entity"], description="test") s1 = {entity1, entity2} assert len(s1) == 1 diff --git a/sdk/python/tests/unit/test_feature_view.py b/sdk/python/tests/unit/test_feature_view.py index 80a583806e7..1ef36081ecd 100644 --- a/sdk/python/tests/unit/test_feature_view.py +++ b/sdk/python/tests/unit/test_feature_view.py @@ -62,3 +62,7 @@ def test_hash(): s4 = {feature_view_1, feature_view_2, feature_view_3, feature_view_4} assert len(s4) == 3 + + +# TODO(felixwang9817): Add tests for proto conversion. +# TODO(felixwang9817): Add tests for field mapping logic. diff --git a/sdk/python/tests/unit/test_unit_feature_store.py b/sdk/python/tests/unit/test_unit_feature_store.py index 6f9dd6acb08..0c13dffa629 100644 --- a/sdk/python/tests/unit/test_unit_feature_store.py +++ b/sdk/python/tests/unit/test_unit_feature_store.py @@ -17,7 +17,7 @@ class MockFeatureView: projection: MockFeatureViewProjection -def test__get_unique_entities(): +def test_get_unique_entities(): entity_values = { "entity_1": [Value(int64_val=1), Value(int64_val=2), Value(int64_val=1)], "entity_2": [ diff --git a/sdk/python/tests/utils/online_write_benchmark.py b/sdk/python/tests/utils/online_write_benchmark.py index 82ffc8e98bf..9f2f8ba60df 100644 --- a/sdk/python/tests/utils/online_write_benchmark.py +++ b/sdk/python/tests/utils/online_write_benchmark.py @@ -17,13 +17,13 @@ from feast.infra.provider import _convert_arrow_to_proto from feast.repo_config import RepoConfig from feast.types import Float32, Int32 -from feast.value_type import ValueType def create_driver_hourly_stats_feature_view(source): + driver = Entity(name="driver", join_keys=["driver_id"]) driver_stats_feature_view = FeatureView( name="driver_stats", - entities=["driver_id"], + entities=[driver], schema=[ Field(name="conv_rate", dtype=Float32), Field(name="acc_rate", dtype=Float32), @@ -61,7 +61,7 @@ def benchmark_writes(): # This is just to set data source to something, we're not reading from parquet source here. parquet_path = os.path.join(temp_dir, "data.parquet") - driver = Entity(name="driver_id", value_type=ValueType.INT64) + driver = Entity(name="driver_id") table = create_driver_hourly_stats_feature_view( create_driver_hourly_stats_source(parquet_path=parquet_path) ) From 3eaf6b79a420ced39f46ca25dddd14b2c69c8ae4 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Wed, 4 May 2022 12:33:22 -0700 Subject: [PATCH 48/87] fix: Update data source timestamp inference error message to make sense (#2636) Signed-off-by: Achal Shah --- sdk/python/feast/inference.py | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/sdk/python/feast/inference.py b/sdk/python/feast/inference.py index d3f2d94532c..9ca6e9a9880 100644 --- a/sdk/python/feast/inference.py +++ b/sdk/python/feast/inference.py @@ -55,30 +55,30 @@ def update_data_sources_with_inferred_event_timestamp_col( ) # loop through table columns to find singular match - timestamp_field, matched_flag = None, False + timestamp_fields = [] for ( col_name, col_datatype, ) in data_source.get_table_column_names_and_types(config): if re.match(ts_column_type_regex_pattern, col_datatype): - if matched_flag: - raise RegistryInferenceFailure( - "DataSource", - f""" - {ERROR_MSG_PREFIX} due to multiple possible columns satisfying - the criteria. {ts_column_type_regex_pattern} {col_name} - """, - ) - matched_flag = True - timestamp_field = col_name - if matched_flag: - assert timestamp_field - data_source.timestamp_field = timestamp_field + timestamp_fields.append(col_name) + + if len(timestamp_fields) > 1: + raise RegistryInferenceFailure( + "DataSource", + f"""{ERROR_MSG_PREFIX}; found multiple possible columns of timestamp type. + Data source type: {data_source.__class__.__name__}, + Timestamp regex: `{ts_column_type_regex_pattern}`, columns: {timestamp_fields}""", + ) + elif len(timestamp_fields) == 1: + data_source.timestamp_field = timestamp_fields[0] else: raise RegistryInferenceFailure( "DataSource", f""" - {ERROR_MSG_PREFIX} due to an absence of columns that satisfy the criteria. + {ERROR_MSG_PREFIX}; Found no columns of timestamp type. + Data source type: {data_source.__class__.__name__}, + Timestamp regex: `{ts_column_type_regex_pattern}`. """, ) From f22430a302f976050dec8d47db2c38881a584a6c Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 4 May 2022 17:35:22 -0400 Subject: [PATCH 49/87] chore: Update new contrib plugins to include usage (#2638) Signed-off-by: Danny Chiao --- .../contrib/postgres_offline_store/postgres.py | 4 ++++ .../infra/online_stores/contrib/hbase_online_store/hbase.py | 5 +++++ sdk/python/feast/infra/online_stores/contrib/postgres.py | 4 ++++ 3 files changed, 13 insertions(+) diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py index 9a3df40c039..f2aa535c1d4 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py @@ -40,6 +40,7 @@ from feast.repo_config import RepoConfig from feast.saved_dataset import SavedDatasetStorage from feast.type_map import pg_type_code_to_arrow +from feast.usage import log_exceptions_and_usage from .postgres_source import PostgreSQLSource @@ -50,6 +51,7 @@ class PostgreSQLOfflineStoreConfig(PostgreSQLConfig): class PostgreSQLOfflineStore(OfflineStore): @staticmethod + @log_exceptions_and_usage(offline_store="postgres") def pull_latest_from_table_or_query( config: RepoConfig, data_source: DataSource, @@ -100,6 +102,7 @@ def pull_latest_from_table_or_query( ) @staticmethod + @log_exceptions_and_usage(offline_store="postgres") def get_historical_features( config: RepoConfig, feature_views: List[FeatureView], @@ -186,6 +189,7 @@ def query_generator() -> Iterator[str]: ) @staticmethod + @log_exceptions_and_usage(offline_store="postgres") def pull_all_from_table_or_query( config: RepoConfig, data_source: DataSource, diff --git a/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py b/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py index 0c0945e7863..d95e83f4290 100644 --- a/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py +++ b/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py @@ -14,6 +14,7 @@ from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto from feast.protos.feast.types.Value_pb2 import Value as ValueProto from feast.repo_config import FeastConfigBaseModel, RepoConfig +from feast.usage import log_exceptions_and_usage class HbaseOnlineStoreConfig(FeastConfigBaseModel): @@ -78,6 +79,7 @@ def _get_conn(self, config: RepoConfig): self._conn = Connection(host=store_config.host, port=int(store_config.port)) return self._conn + @log_exceptions_and_usage(online_store="hbase") def online_write_batch( self, config: RepoConfig, @@ -128,6 +130,7 @@ def online_write_batch( b.put(row_key, values_dict) b.send() + @log_exceptions_and_usage(online_store="hbase") def online_read( self, config: RepoConfig, @@ -142,6 +145,7 @@ def online_read( config: The RepoConfig for the current FeatureStore. table: Feast FeatureView. entity_keys: a list of entity keys that should be read from the FeatureStore. + requested_features: a list of requested feature names. """ hbase = HbaseUtils(self._get_conn(config)) project = config.project @@ -172,6 +176,7 @@ def online_read( result.append((res_ts, res)) return result + @log_exceptions_and_usage(online_store="hbase") def update( self, config: RepoConfig, diff --git a/sdk/python/feast/infra/online_stores/contrib/postgres.py b/sdk/python/feast/infra/online_stores/contrib/postgres.py index 65b904c97b1..479b6018062 100644 --- a/sdk/python/feast/infra/online_stores/contrib/postgres.py +++ b/sdk/python/feast/infra/online_stores/contrib/postgres.py @@ -18,6 +18,7 @@ from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto from feast.protos.feast.types.Value_pb2 import Value as ValueProto from feast.repo_config import RepoConfig +from feast.usage import log_exceptions_and_usage class PostgreSQLOnlineStoreConfig(PostgreSQLConfig): @@ -33,6 +34,7 @@ def _get_conn(self, config: RepoConfig): self._conn = _get_conn(config.online_store) return self._conn + @log_exceptions_and_usage(online_store="postgres") def online_write_batch( self, config: RepoConfig, @@ -86,6 +88,7 @@ def online_write_batch( if progress: progress(len(cur_batch)) + @log_exceptions_and_usage(online_store="postgres") def online_read( self, config: RepoConfig, @@ -136,6 +139,7 @@ def online_read( return result + @log_exceptions_and_usage(online_store="postgres") def update( self, config: RepoConfig, From 1758be39354dfd6362d78e06d76adaa35c42a85d Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Thu, 5 May 2022 11:23:24 -0700 Subject: [PATCH 50/87] chore: Remove unused scripts and docker-compose env (#2642) Signed-off-by: Achal Shah --- infra/docker-compose/.env.sample | 6 - infra/docker-compose/core/core.yml | 5 - infra/docker-compose/docker-compose.dev.yml | 67 ------- infra/docker-compose/docker-compose.yml | 118 ----------- .../gcp-service-accounts/placeholder.json | 4 - .../docker-compose/serving/online-serving.yml | 12 -- infra/docker/ci/Dockerfile | 87 --------- .../build-ingestion-py-dependencies.sh | 17 -- infra/scripts/test-docker-compose.sh | 73 ------- infra/scripts/test-integration.sh | 8 - infra/scripts/test-java-core-ingestion.sh | 25 --- infra/scripts/test-java-sdk.sh | 13 -- infra/scripts/test-load.sh | 116 ----------- infra/scripts/test-usage.sh | 11 -- infra/scripts/wait-for-it.sh | 183 ------------------ 15 files changed, 745 deletions(-) delete mode 100644 infra/docker-compose/.env.sample delete mode 100644 infra/docker-compose/core/core.yml delete mode 100644 infra/docker-compose/docker-compose.dev.yml delete mode 100644 infra/docker-compose/docker-compose.yml delete mode 100644 infra/docker-compose/gcp-service-accounts/placeholder.json delete mode 100644 infra/docker-compose/serving/online-serving.yml delete mode 100644 infra/docker/ci/Dockerfile delete mode 100755 infra/scripts/build-ingestion-py-dependencies.sh delete mode 100755 infra/scripts/test-docker-compose.sh delete mode 100755 infra/scripts/test-integration.sh delete mode 100755 infra/scripts/test-java-core-ingestion.sh delete mode 100755 infra/scripts/test-java-sdk.sh delete mode 100755 infra/scripts/test-load.sh delete mode 100755 infra/scripts/test-usage.sh delete mode 100755 infra/scripts/wait-for-it.sh diff --git a/infra/docker-compose/.env.sample b/infra/docker-compose/.env.sample deleted file mode 100644 index 8c48fbc976b..00000000000 --- a/infra/docker-compose/.env.sample +++ /dev/null @@ -1,6 +0,0 @@ -COMPOSE_PROJECT_NAME=feast -FEAST_VERSION=develop -FEAST_CORE_CONFIG=./core/core.yml -FEAST_ONLINE_SERVING_CONFIG=./serving/online-serving.yml -GCP_SERVICE_ACCOUNT=./gcp-service-accounts/placeholder.json -INGESTION_JAR_PATH=https://storage.googleapis.com/feast-jobs/spark/ingestion/feast-ingestion-spark-develop.jar \ No newline at end of file diff --git a/infra/docker-compose/core/core.yml b/infra/docker-compose/core/core.yml deleted file mode 100644 index 517b2649ca2..00000000000 --- a/infra/docker-compose/core/core.yml +++ /dev/null @@ -1,5 +0,0 @@ -spring: - datasource: - url: jdbc:postgresql://${DB_HOST:127.0.0.1}:${DB_PORT:5432}/${DB_DATABASE:postgres} - username: ${DB_USERNAME:postgres} - password: ${DB_PASSWORD:password} diff --git a/infra/docker-compose/docker-compose.dev.yml b/infra/docker-compose/docker-compose.dev.yml deleted file mode 100644 index 50c48874939..00000000000 --- a/infra/docker-compose/docker-compose.dev.yml +++ /dev/null @@ -1,67 +0,0 @@ -version: "3.7" - -services: - core: - image: maven:3.6-openjdk-11 - volumes: - - ${HOME}/.m2:/root/.m2:delegated - - ../../.:/code:cached - environment: - DB_HOST: db - FEAST_STREAM_OPTIONS_BOOTSTRAPSERVERS: kafka:9092 - GOOGLE_APPLICATION_CREDENTIALS: /etc/gcloud/service-accounts/key.json - restart: on-failure - depends_on: - - db - - kafka - ports: - - 6565:6565 - - working_dir: /code - command: - - mvn - - -pl - - core - - spring-boot:run - - jupyter: - image: gcr.io/kf-feast/feast-jupyter:${FEAST_VERSION} - volumes: - - ${GCP_SERVICE_ACCOUNT}:/etc/gcloud/service-accounts/key.json - depends_on: - - core - environment: - FEAST_CORE_URL: core:6565 - FEAST_SERVING_URL: online_serving:6566 - FEAST_HISTORICAL_SERVING_URL: historical_serving:6567 - GOOGLE_APPLICATION_CREDENTIALS: /etc/gcloud/service-accounts/key.json - ports: - - 8888:8888 - - kafka: - image: confluentinc/cp-kafka:5.2.1 - environment: - KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181 - KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1 - KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka:9092,OUTSIDE://localhost:9094 - KAFKA_LISTENERS: INSIDE://:9092,OUTSIDE://:9094 - KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT - KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE - ports: - - "9092:9092" - - "9094:9094" - - depends_on: - - zookeeper - - zookeeper: - image: confluentinc/cp-zookeeper:5.2.1 - environment: - ZOOKEEPER_CLIENT_PORT: 2181 - - db: - image: postgres:12-alpine - environment: - POSTGRES_PASSWORD: password - ports: - - "5432:5432" diff --git a/infra/docker-compose/docker-compose.yml b/infra/docker-compose/docker-compose.yml deleted file mode 100644 index 579dc6d65fb..00000000000 --- a/infra/docker-compose/docker-compose.yml +++ /dev/null @@ -1,118 +0,0 @@ -version: "3.7" - -services: - core: - image: gcr.io/kf-feast/feast-core:${FEAST_VERSION} - volumes: - - ${FEAST_CORE_CONFIG}:/etc/feast/application.yml - environment: - DB_HOST: db - restart: on-failure - depends_on: - - db - ports: - - 6565:6565 - command: - - java - - -jar - - /opt/feast/feast-core.jar - - classpath:/application.yml,file:/etc/feast/application.yml - - jobservice: - image: gcr.io/kf-feast/feast-jobservice:${FEAST_VERSION} - depends_on: - - core - ports: - - 6568:6568 - volumes: - - $PWD:/shared - environment: - FEAST_CORE_URL: core:6565 - FEAST_SERVING_URL: online_serving:6566 - FEAST_SPARK_LAUNCHER: standalone - FEAST_SPARK_STANDALONE_MASTER: local - FEAST_SPARK_HOME: /usr/local/spark - FEAST_SPARK_STAGING_LOCATION: file:///shared/staging - FEAST_HISTORICAL_FEATURE_OUTPUT_LOCATION: file:///shared/historical_feature_output - FEAST_HISTORICAL_FEATURE_OUTPUT_FORMAT: parquet - FEAST_REDIS_HOST: redis - FEAST_SPARK_INGESTION_JAR: ${INGESTION_JAR_PATH} - FEAST_STATSD_ENABLED: "true" - FEAST_STATSD_HOST: prometheus_statsd - FEAST_STATSD_PORT: 9125 - - jupyter: - image: gcr.io/kf-feast/feast-jupyter:${FEAST_VERSION} - volumes: - - ${GCP_SERVICE_ACCOUNT}:/etc/gcloud/service-accounts/key.json - - $PWD:/shared - depends_on: - - core - environment: - FEAST_CORE_URL: core:6565 - FEAST_SERVING_URL: online_serving:6566 - FEAST_SPARK_LAUNCHER: standalone - FEAST_SPARK_STANDALONE_MASTER: local - FEAST_SPARK_HOME: /usr/local/spark - FEAST_SPARK_STAGING_LOCATION: file:///shared/staging - FEAST_HISTORICAL_FEATURE_OUTPUT_LOCATION: file:///shared/historical_feature_output - FEAST_HISTORICAL_FEATURE_OUTPUT_FORMAT: parquet - FEAST_REDIS_HOST: redis - GOOGLE_APPLICATION_CREDENTIALS: /etc/gcloud/service-accounts/key.json - ports: - - 8888:8888 - - kafka: - image: confluentinc/cp-kafka:5.2.1 - environment: - KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181 - KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1 - KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka:9092,OUTSIDE://localhost:9094 - KAFKA_LISTENERS: INSIDE://:9092,OUTSIDE://:9094 - KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT - KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE - ports: - - "9092:9092" - - "9094:9094" - - depends_on: - - zookeeper - - zookeeper: - image: confluentinc/cp-zookeeper:5.2.1 - environment: - ZOOKEEPER_CLIENT_PORT: 2181 - - db: - image: postgres:12-alpine - environment: - POSTGRES_PASSWORD: password - ports: - - "5432:5432" - - online_serving: - image: gcr.io/kf-feast/feast-serving:${FEAST_VERSION} - volumes: - - ${FEAST_ONLINE_SERVING_CONFIG}:/etc/feast/application.yml - depends_on: - - core - - redis - ports: - - 6566:6566 - restart: on-failure - command: - - java - - -jar - - /opt/feast/feast-serving.jar - - classpath:/application.yml,file:/etc/feast/application.yml - - redis: - image: redis:5-alpine - ports: - - "6379:6379" - - prometheus_statsd: - image: prom/statsd-exporter:v0.12.1 - ports: - - "9125:9125" - - "9102:9102" \ No newline at end of file diff --git a/infra/docker-compose/gcp-service-accounts/placeholder.json b/infra/docker-compose/gcp-service-accounts/placeholder.json deleted file mode 100644 index 5609d6923cf..00000000000 --- a/infra/docker-compose/gcp-service-accounts/placeholder.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "type": "service_account", - "project_id": "just-some-project" -} \ No newline at end of file diff --git a/infra/docker-compose/serving/online-serving.yml b/infra/docker-compose/serving/online-serving.yml deleted file mode 100644 index 7ca1e7113f3..00000000000 --- a/infra/docker-compose/serving/online-serving.yml +++ /dev/null @@ -1,12 +0,0 @@ -feast: - core-host: core - active_store: online - stores: - - name: online - type: REDIS - config: - host: redis - port: 6379 - subscriptions: - - name: "*" - project: "*" \ No newline at end of file diff --git a/infra/docker/ci/Dockerfile b/infra/docker/ci/Dockerfile deleted file mode 100644 index f365c6339e6..00000000000 --- a/infra/docker/ci/Dockerfile +++ /dev/null @@ -1,87 +0,0 @@ -FROM ubuntu:18.04 - -ARG REVISION -ENV DEBIAN_FRONTEND=noninteractive - -RUN apt-get update && apt-get install -y curl unzip locales software-properties-common && \ - apt-add-repository ppa:git-core/ppa && \ - apt update && apt install -y git - -# Install Java (by default openjdk-11) -RUN apt-get install -y default-jdk - -RUN locale-gen en_US.UTF-8 && update-locale LANG=en_US.utf8 -ENV LANG='en_US.UTF-8' LANGUAGE='en_US:en' LC_ALL='en_US.UTF-8' - -# Install maven -ARG MAVEN_VERSION=3.6.3 -ARG SHA=c35a1803a6e70a126e80b2b3ae33eed961f83ed74d18fcd16909b2d44d7dada3203f1ffe726c17ef8dcca2dcaa9fca676987befeadc9b9f759967a8cb77181c0 -ARG BASE_URL=https://apache.osuosl.org/maven/maven-3/${MAVEN_VERSION}/binaries - -RUN mkdir -p /usr/share/maven /usr/share/maven/ref \ - && curl -fsSL -o /tmp/apache-maven.tar.gz ${BASE_URL}/apache-maven-${MAVEN_VERSION}-bin.tar.gz \ - && echo "${SHA} /tmp/apache-maven.tar.gz" | sha512sum -c - \ - && tar -xzf /tmp/apache-maven.tar.gz -C /usr/share/maven --strip-components=1 \ - && rm -f /tmp/apache-maven.tar.gz \ - && ln -s /usr/share/maven/bin/mvn /usr/bin/mvn - -ENV MAVEN_HOME /usr/share/maven - -# Install Make and Python -ENV PYTHON_VERSION 3.7 - -RUN apt-get install -y build-essential curl python${PYTHON_VERSION} \ - python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-distutils && \ - update-alternatives --install /usr/bin/python python /usr/bin/python${PYTHON_VERSION} 1 && \ - update-alternatives --set python /usr/bin/python${PYTHON_VERSION} && \ - curl -s https://bootstrap.pypa.io/get-pip.py -o get-pip.py && \ - python get-pip.py --force-reinstall && \ - rm get-pip.py - -# Install Google Cloud SDK -RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.cloud.google.com/apt cloud-sdk main" \ - | tee -a /etc/apt/sources.list.d/google-cloud-sdk.list && \ - curl https://packages.cloud.google.com/apt/doc/apt-key.gpg \ - | apt-key --keyring /usr/share/keyrings/cloud.google.gpg \ - add - && apt-get update -y && apt-get install google-cloud-sdk -y - -# Instal boto3 -RUN pip install boto3==1.16.10 - -# Install Go -ENV GOLANG_VERSION 1.14.1 - -RUN curl -O https://storage.googleapis.com/golang/go${GOLANG_VERSION}.linux-amd64.tar.gz && \ - tar -xvf go${GOLANG_VERSION}.linux-amd64.tar.gz && chown -R root:root ./go && mv go /usr/local - -ENV GOPATH /go -ENV PATH $GOPATH/bin:/usr/local/go/bin:$PATH -ENV PATH="$HOME/bin:${PATH}" - -# Install Protoc and Plugins -ENV PROTOC_VERSION 3.12.2 - -RUN PROTOC_ZIP=protoc-${PROTOC_VERSION}-linux-x86_64.zip && \ - curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v${PROTOC_VERSION}/$PROTOC_ZIP && \ - unzip -o $PROTOC_ZIP -d /usr/local bin/protoc && \ - unzip -o $PROTOC_ZIP -d /usr/local 'include/*' && \ - rm -f $PROTOC_ZIP && \ - go get github.com/golang/protobuf/proto && \ - go get gopkg.in/russross/blackfriday.v2 && \ - git clone https://github.com/istio/tools/ && \ - cd tools/cmd/protoc-gen-docs && \ - go build && mkdir -p $HOME/bin && cp protoc-gen-docs $HOME/bin - -# Install AZ CLI -RUN curl -sL https://aka.ms/InstallAzureCLIDeb | bash - -# Install kubectl -RUN apt-get install -y kubectl=1.20.4-00 - -# Install helm -RUN curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 && \ - chmod 700 get_helm.sh && \ - ./get_helm.sh --version v3.4.2 - -# Install jq -RUN apt-get install -y jq diff --git a/infra/scripts/build-ingestion-py-dependencies.sh b/infra/scripts/build-ingestion-py-dependencies.sh deleted file mode 100755 index dd4e1992445..00000000000 --- a/infra/scripts/build-ingestion-py-dependencies.sh +++ /dev/null @@ -1,17 +0,0 @@ -#!/usr/bin/env bash -set -euo pipefail -PLATFORM=$1 -DESTINATION=$2 -PACKAGES=${PACKAGES:-"great-expectations==0.13.2 pyarrow==2.0.0 datadog==0.39.0 numpy<1.20.0"} - -tmp_dir=$(mktemp -d) - -pip3 install -t ${tmp_dir}/libs $PACKAGES - -cd $tmp_dir -tar -czf pylibs-ge-$PLATFORM.tar.gz libs/ -if [[ $DESTINATION == gs* ]]; then - gsutil cp pylibs-ge-$PLATFORM.tar.gz $DESTINATION -else - mv pylibs-ge-$PLATFORM.tar.gz $DESTINATION -fi diff --git a/infra/scripts/test-docker-compose.sh b/infra/scripts/test-docker-compose.sh deleted file mode 100755 index 69cdaac82fa..00000000000 --- a/infra/scripts/test-docker-compose.sh +++ /dev/null @@ -1,73 +0,0 @@ -#!/usr/bin/env bash - -set -e - -echo " -============================================================ -Running Docker Compose tests with pytest at 'tests/e2e' -============================================================ -" -LATEST_GH_COMMIT_SHA=$1 - -clean_up () { - ARG=$? - - # Shut down docker-compose images - - docker-compose down - - exit $ARG -} - -trap clean_up EXIT - -export PROJECT_ROOT_DIR=$(git rev-parse --show-toplevel) -export COMPOSE_INTERACTIVE_NO_CLI=1 - -# Create Docker Compose configuration file -cd ${PROJECT_ROOT_DIR}/infra/docker-compose/ -cp .env.sample .env - -# Replace FEAST_VERSION with latest github image SHA -export FEAST_VERSION=$LATEST_GH_COMMIT_SHA -echo "Testing docker-compose setup with version SHA, $FEAST_VERSION." - -# Start Docker Compose containers -docker-compose up -d - -# Get Jupyter container IP address -export JUPYTER_DOCKER_CONTAINER_IP_ADDRESS=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' feast_jupyter_1) - -# Print Jupyter container information -docker inspect feast_jupyter_1 - -# Wait for Jupyter Notebook Container to come online -${PROJECT_ROOT_DIR}/infra/scripts/wait-for-it.sh ${JUPYTER_DOCKER_CONTAINER_IP_ADDRESS}:8888 --timeout=60 - -# Get Feast Core container IP address -export FEAST_CORE_CONTAINER_IP_ADDRESS=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' feast_core_1) - -# Wait for Feast Core to be ready -${PROJECT_ROOT_DIR}/infra/scripts/wait-for-it.sh ${FEAST_CORE_CONTAINER_IP_ADDRESS}:6565 --timeout=120 - -# Get Feast Online Serving container IP address -export FEAST_ONLINE_SERVING_CONTAINER_IP_ADDRESS=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' feast_online_serving_1) - -# Wait for Feast Online Serving to be ready -${PROJECT_ROOT_DIR}/infra/scripts/wait-for-it.sh ${FEAST_ONLINE_SERVING_CONTAINER_IP_ADDRESS}:6566 --timeout=120 - - -# Get Feast Job Service container IP address -export FEAST_JOB_SERVICE_CONTAINER_IP_ADDRESS=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' feast_jobservice_1) - -# Wait for Feast Job Service to be ready -${PROJECT_ROOT_DIR}/infra/scripts/wait-for-it.sh ${FEAST_JOB_SERVICE_CONTAINER_IP_ADDRESS}:6568 --timeout=120 - -# Run e2e tests for Redis -docker exec \ - -e FEAST_VERSION=${FEAST_VERSION} \ - -e DISABLE_SERVICE_FIXTURES=true \ - -e DISABLE_FEAST_SERVICE_FIXTURES=true \ - --user root \ - feast_jupyter_1 bash \ - -c 'cd /feast/tests && python -m pip install -r requirements.txt && FEAST_USAGE=False pytest e2e/ --ingestion-jar https://storage.googleapis.com/feast-jobs/spark/ingestion/feast-ingestion-spark-${FEAST_VERSION}.jar --redis-url redis:6379 --core-url core:6565 --serving-url online_serving:6566 --job-service-url jobservice:6568 --staging-path file:///shared/staging/ --kafka-brokers kafka:9092 --statsd-url prometheus_statsd:9125 --prometheus-url prometheus_statsd:9102 --feast-version develop' diff --git a/infra/scripts/test-integration.sh b/infra/scripts/test-integration.sh deleted file mode 100755 index 6f50dd14504..00000000000 --- a/infra/scripts/test-integration.sh +++ /dev/null @@ -1,8 +0,0 @@ -#!/usr/bin/env bash - -python -m pip install --upgrade pip setuptools wheel pip-tools -make install-python -python -m pip install -qr tests/requirements.txt - -export FEAST_USAGE="False" -pytest tests/integration --dataproc-cluster-name feast-e2e --dataproc-project kf-feast --dataproc-region us-central1 --dataproc-staging-location gs://feast-templocation-kf-feast diff --git a/infra/scripts/test-java-core-ingestion.sh b/infra/scripts/test-java-core-ingestion.sh deleted file mode 100755 index a812edc6166..00000000000 --- a/infra/scripts/test-java-core-ingestion.sh +++ /dev/null @@ -1,25 +0,0 @@ -#!/usr/bin/env bash - -apt-get -qq update -apt-get -y install build-essential - -make lint-java - -infra/scripts/download-maven-cache.sh \ - --archive-uri gs://feast-templocation-kf-feast/.m2.2019-10-24.tar \ - --output-dir /root/ - -# Core depends on Ingestion so they are tested together -# Skip Maven enforcer: https://stackoverflow.com/questions/50647223/maven-enforcer-issue-when-running-from-reactor-level -mvn -f java/pom.xml --projects core,ingestion --batch-mode --define skipTests=true \ - --define enforcer.skip=true clean install -mvn -f java/pom.xml --projects core,ingestion --define enforcer.skip=true test -TEST_EXIT_CODE=$? - -# Default artifact location setting in Prow jobs -LOGS_ARTIFACT_PATH=/logs/artifacts -mkdir -p ${LOGS_ARTIFACT_PATH}/surefire-reports -cp core/target/surefire-reports/* ${LOGS_ARTIFACT_PATH}/surefire-reports/ -cp ingestion/target/surefire-reports/* ${LOGS_ARTIFACT_PATH}/surefire-reports/ - -exit ${TEST_EXIT_CODE} \ No newline at end of file diff --git a/infra/scripts/test-java-sdk.sh b/infra/scripts/test-java-sdk.sh deleted file mode 100755 index 58dc5b1a832..00000000000 --- a/infra/scripts/test-java-sdk.sh +++ /dev/null @@ -1,13 +0,0 @@ -#!/usr/bin/env bash - -# Skip Maven enforcer: https://stackoverflow.com/questions/50647223/maven-enforcer-issue-when-running-from-reactor-level -mvn -f java/pom.xml --projects sdk/java --batch-mode --define skipTests=true \ - --define enforcer.skip=true clean install -mvn -f java/pom.xml --projects sdk/java --define enforcer.skip=true test -TEST_EXIT_CODE=$? - -# Default artifact location setting in Prow jobs -LOGS_ARTIFACT_PATH=/logs/artifacts -cp -r java/sdk/java/target/surefire-reports ${LOGS_ARTIFACT_PATH}/surefire-reports - -exit ${TEST_EXIT_CODE} \ No newline at end of file diff --git a/infra/scripts/test-load.sh b/infra/scripts/test-load.sh deleted file mode 100755 index 51a24691067..00000000000 --- a/infra/scripts/test-load.sh +++ /dev/null @@ -1,116 +0,0 @@ -#!/usr/bin/env bash - -set -e - -echo " -============================================================ -Running Load Tests -============================================================ -" - -clean_up() { - ARG=$? - - # Shut down docker-compose images - cd "${PROJECT_ROOT_DIR}"/infra/docker-compose - - docker-compose down - - exit $ARG -} - -# Get Feast project repository root and scripts directory -export PROJECT_ROOT_DIR=$(git rev-parse --show-toplevel) -export SCRIPTS_DIR=${PROJECT_ROOT_DIR}/infra/scripts -export COMPOSE_INTERACTIVE_NO_CLI=1 -source ${SCRIPTS_DIR}/setup-common-functions.sh - -if [ -z "$1" ] ; then - echo "No SHA/FEAST_VERSION provided as argument, using local HEAD"; - FEAST_VERSION=$(git rev-parse HEAD); - export FEAST_VERSION -else - echo "Using ${1} as SHA/FEAST_VERSION to test"; - FEAST_VERSION=${1} - export FEAST_VERSION -fi - -wait_for_docker_image gcr.io/kf-feast/feast-core:"${FEAST_VERSION}" -wait_for_docker_image gcr.io/kf-feast/feast-jobcontroller:"${FEAST_VERSION}" -wait_for_docker_image gcr.io/kf-feast/feast-serving:"${FEAST_VERSION}" -wait_for_docker_image gcr.io/kf-feast/feast-jupyter:"${FEAST_VERSION}" - -# Clean up Docker Compose if failure -trap clean_up EXIT - -# Create Docker Compose configuration file -cd "${PROJECT_ROOT_DIR}"/infra/docker-compose/ -cp .env.sample .env - -# Start Docker Compose containers -FEAST_VERSION=${FEAST_VERSION} docker-compose up -d - -# Get Jupyter container IP address -export JUPYTER_DOCKER_CONTAINER_IP_ADDRESS=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' feast_jupyter_1) - -# Print Jupyter container information -docker inspect feast_jupyter_1 -docker logs feast_jupyter_1 - -# Wait for Jupyter Notebook Container to come online -"${PROJECT_ROOT_DIR}"/infra/scripts/wait-for-it.sh ${JUPYTER_DOCKER_CONTAINER_IP_ADDRESS}:8888 --timeout=60 - -# Get Feast Core container IP address -export FEAST_CORE_CONTAINER_IP_ADDRESS=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' feast_core_1) - -# Wait for Feast Core to be ready -"${PROJECT_ROOT_DIR}"/infra/scripts/wait-for-it.sh ${FEAST_CORE_CONTAINER_IP_ADDRESS}:6565 --timeout=120 - -# Get Feast Job Controller container IP address -export FEAST_JOB_CONTROLLER_CONTAINER_IP_ADDRESS=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' feast_jobcontroller_1) - -# Wait for Feast Job Controller to be ready -"${PROJECT_ROOT_DIR}"/infra/scripts/wait-for-it.sh ${FEAST_JOB_CONTROLLER_CONTAINER_IP_ADDRESS}:6570 --timeout=120 - -# Get Feast Online Serving container IP address -export FEAST_ONLINE_SERVING_CONTAINER_IP_ADDRESS=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' feast_online_serving_1) - -# Wait for Feast Online Serving to be ready -"${PROJECT_ROOT_DIR}"/infra/scripts/wait-for-it.sh ${FEAST_ONLINE_SERVING_CONTAINER_IP_ADDRESS}:6566 --timeout=120 - -# Ingest data into Feast -pip install --user matplotlib feast pytz --upgrade -python "${PROJECT_ROOT_DIR}"/tests/load/ingest.py "${FEAST_CORE_CONTAINER_IP_ADDRESS}":6565 "${FEAST_ONLINE_SERVING_CONTAINER_IP_ADDRESS}":6566 - -# Download load test tool and proxy -cd $(mktemp -d) -wget -c https://github.com/feast-dev/feast-load-test-proxy/releases/download/v0.1.1/feast-load-test-proxy_0.1.1_Linux_x86_64.tar.gz -O - | tar -xz -git clone https://github.com/giltene/wrk2.git -cd wrk2 -make -cd .. -cp wrk2/wrk . - -# Start load test server -LOAD_FEAST_SERVING_HOST=${FEAST_ONLINE_SERVING_CONTAINER_IP_ADDRESS} LOAD_FEAST_SERVING_PORT=6566 ./feast-load-test-proxy & -sleep 5 - -# Run load tests -./wrk -t2 -c10 -d30s -R20 --latency http://localhost:8080/echo -./wrk -t2 -c10 -d30s -R20 --latency http://localhost:8080/send?entity_count=10 > load_test_results_1fs_13f_10e_20rps -./wrk -t2 -c10 -d30s -R50 --latency http://localhost:8080/send?entity_count=10 > load_test_results_1fs_13f_10e_50rps -./wrk -t2 -c10 -d30s -R250 --latency http://localhost:8080/send?entity_count=10 > load_test_results_1fs_13f_10e_250rps -./wrk -t2 -c10 -d30s -R20 --latency http://localhost:8080/send?entity_count=50 > load_test_results_1fs_13f_50e_20rps -./wrk -t2 -c10 -d30s -R50 --latency http://localhost:8080/send?entity_count=50 > load_test_results_1fs_13f_50e_50rps -./wrk -t2 -c10 -d30s -R250 --latency http://localhost:8080/send?entity_count=50 > load_test_results_1fs_13f_50e_250rps - -# Print load test results -cat $(ls -lah | grep load_test_results | awk '{print $9}' | tr '\n' ' ') - -# Create hdr-plot of load tests -export PLOT_FILE_NAME="load_test_graph_${FEAST_VERSION}"_$(date "+%Y%m%d-%H%M%S").png -python $PROJECT_ROOT_DIR/tests/load/hdr_plot.py --output "$PLOT_FILE_NAME" --title "Load test: ${FEAST_VERSION}" $(ls -lah | grep load_test_results | awk '{print $9}' | tr '\n' ' ') - -# Persist artifact -mkdir -p "${PROJECT_ROOT_DIR}"/load-test-output/ -cp -r load_test_* "${PROJECT_ROOT_DIR}"/load-test-output/ \ No newline at end of file diff --git a/infra/scripts/test-usage.sh b/infra/scripts/test-usage.sh deleted file mode 100755 index f70fdd62479..00000000000 --- a/infra/scripts/test-usage.sh +++ /dev/null @@ -1,11 +0,0 @@ -#!/usr/bin/env bash - -set -e - -# Default artifact location setting in Prow jobs -LOGS_ARTIFACT_PATH=/logs/artifacts - -cd sdk/python/ -pip install -e ".[ci]" -cd usage_tests/ -pytest --junitxml=${LOGS_ARTIFACT_PATH}/python-sdk-test-report.xml diff --git a/infra/scripts/wait-for-it.sh b/infra/scripts/wait-for-it.sh deleted file mode 100755 index 51942ce6dc4..00000000000 --- a/infra/scripts/wait-for-it.sh +++ /dev/null @@ -1,183 +0,0 @@ -#!/usr/bin/env bash -# Use this script to test if a given TCP host/port are available -# Source: https://github.com/vishnubob/wait-for-it - -WAITFORIT_cmdname=${0##*/} - -echoerr() { if [[ $WAITFORIT_QUIET -ne 1 ]]; then echo "$@" 1>&2; fi } - -usage() -{ - cat << USAGE >&2 -Usage: - $WAITFORIT_cmdname host:port [-s] [-t timeout] [-- command args] - -h HOST | --host=HOST Host or IP under test - -p PORT | --port=PORT TCP port under test - Alternatively, you specify the host and port as host:port - -s | --strict Only execute subcommand if the test succeeds - -q | --quiet Don't output any status messages - -t TIMEOUT | --timeout=TIMEOUT - Timeout in seconds, zero for no timeout - -- COMMAND ARGS Execute command with args after the test finishes -USAGE - exit 1 -} - -wait_for() -{ - if [[ $WAITFORIT_TIMEOUT -gt 0 ]]; then - echoerr "$WAITFORIT_cmdname: waiting $WAITFORIT_TIMEOUT seconds for $WAITFORIT_HOST:$WAITFORIT_PORT" - else - echoerr "$WAITFORIT_cmdname: waiting for $WAITFORIT_HOST:$WAITFORIT_PORT without a timeout" - fi - WAITFORIT_start_ts=$(date +%s) - while : - do - if [[ $WAITFORIT_ISBUSY -eq 1 ]]; then - nc -z $WAITFORIT_HOST $WAITFORIT_PORT - WAITFORIT_result=$? - else - (echo > /dev/tcp/$WAITFORIT_HOST/$WAITFORIT_PORT) >/dev/null 2>&1 - WAITFORIT_result=$? - fi - if [[ $WAITFORIT_result -eq 0 ]]; then - WAITFORIT_end_ts=$(date +%s) - echoerr "$WAITFORIT_cmdname: $WAITFORIT_HOST:$WAITFORIT_PORT is available after $((WAITFORIT_end_ts - WAITFORIT_start_ts)) seconds" - break - fi - sleep 1 - done - return $WAITFORIT_result -} - -wait_for_wrapper() -{ - # In order to support SIGINT during timeout: http://unix.stackexchange.com/a/57692 - if [[ $WAITFORIT_QUIET -eq 1 ]]; then - timeout $WAITFORIT_BUSYTIMEFLAG $WAITFORIT_TIMEOUT $0 --quiet --child --host=$WAITFORIT_HOST --port=$WAITFORIT_PORT --timeout=$WAITFORIT_TIMEOUT & - else - timeout $WAITFORIT_BUSYTIMEFLAG $WAITFORIT_TIMEOUT $0 --child --host=$WAITFORIT_HOST --port=$WAITFORIT_PORT --timeout=$WAITFORIT_TIMEOUT & - fi - WAITFORIT_PID=$! - trap "kill -INT -$WAITFORIT_PID" INT - wait $WAITFORIT_PID - WAITFORIT_RESULT=$? - if [[ $WAITFORIT_RESULT -ne 0 ]]; then - echoerr "$WAITFORIT_cmdname: timeout occurred after waiting $WAITFORIT_TIMEOUT seconds for $WAITFORIT_HOST:$WAITFORIT_PORT" - fi - return $WAITFORIT_RESULT -} - -# process arguments -while [[ $# -gt 0 ]] -do - case "$1" in - *:* ) - WAITFORIT_hostport=(${1//:/ }) - WAITFORIT_HOST=${WAITFORIT_hostport[0]} - WAITFORIT_PORT=${WAITFORIT_hostport[1]} - shift 1 - ;; - --child) - WAITFORIT_CHILD=1 - shift 1 - ;; - -q | --quiet) - WAITFORIT_QUIET=1 - shift 1 - ;; - -s | --strict) - WAITFORIT_STRICT=1 - shift 1 - ;; - -h) - WAITFORIT_HOST="$2" - if [[ $WAITFORIT_HOST == "" ]]; then break; fi - shift 2 - ;; - --host=*) - WAITFORIT_HOST="${1#*=}" - shift 1 - ;; - -p) - WAITFORIT_PORT="$2" - if [[ $WAITFORIT_PORT == "" ]]; then break; fi - shift 2 - ;; - --port=*) - WAITFORIT_PORT="${1#*=}" - shift 1 - ;; - -t) - WAITFORIT_TIMEOUT="$2" - if [[ $WAITFORIT_TIMEOUT == "" ]]; then break; fi - shift 2 - ;; - --timeout=*) - WAITFORIT_TIMEOUT="${1#*=}" - shift 1 - ;; - --) - shift - WAITFORIT_CLI=("$@") - break - ;; - --help) - usage - ;; - *) - echoerr "Unknown argument: $1" - usage - ;; - esac -done - -if [[ "$WAITFORIT_HOST" == "" || "$WAITFORIT_PORT" == "" ]]; then - echoerr "Error: you need to provide a host and port to test." - usage -fi - -WAITFORIT_TIMEOUT=${WAITFORIT_TIMEOUT:-15} -WAITFORIT_STRICT=${WAITFORIT_STRICT:-0} -WAITFORIT_CHILD=${WAITFORIT_CHILD:-0} -WAITFORIT_QUIET=${WAITFORIT_QUIET:-0} - -# Check to see if timeout is from busybox? -WAITFORIT_TIMEOUT_PATH=$(type -p timeout) -WAITFORIT_TIMEOUT_PATH=$(realpath $WAITFORIT_TIMEOUT_PATH 2>/dev/null || readlink -f $WAITFORIT_TIMEOUT_PATH) - -WAITFORIT_BUSYTIMEFLAG="" -if [[ $WAITFORIT_TIMEOUT_PATH =~ "busybox" ]]; then - WAITFORIT_ISBUSY=1 - # Check if busybox timeout uses -t flag - # (recent Alpine versions don't support -t anymore) - if timeout &>/dev/stdout | grep -q -e '-t '; then - WAITFORIT_BUSYTIMEFLAG="-t" - fi -else - WAITFORIT_ISBUSY=0 -fi - -if [[ $WAITFORIT_CHILD -gt 0 ]]; then - wait_for - WAITFORIT_RESULT=$? - exit $WAITFORIT_RESULT -else - if [[ $WAITFORIT_TIMEOUT -gt 0 ]]; then - wait_for_wrapper - WAITFORIT_RESULT=$? - else - wait_for - WAITFORIT_RESULT=$? - fi -fi - -if [[ $WAITFORIT_CLI != "" ]]; then - if [[ $WAITFORIT_RESULT -ne 0 && $WAITFORIT_STRICT -eq 1 ]]; then - echoerr "$WAITFORIT_cmdname: strict mode, refusing to execute subprocess" - exit $WAITFORIT_RESULT - fi - exec "${WAITFORIT_CLI[@]}" -else - exit $WAITFORIT_RESULT -fi \ No newline at end of file From 4fbdfb1da90b83978c431ce140ce113bf8284b9a Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Thu, 5 May 2022 12:24:19 -0700 Subject: [PATCH 51/87] Revert "chore: Deprecate value type (#2611)" (#2643) This reverts commit 737c4889cd7cd041beb60fa330f2656327c5e3d2. Signed-off-by: Achal Shah --- .../java-demo/feature_repo/driver_repo.py | 4 +- go/embedded/online_features.go | 22 +- go/internal/feast/featurestore.go | 4 +- go/internal/feast/model/basefeatureview.go | 8 +- go/internal/feast/model/entity.go | 12 +- .../feast/model/{field.go => feature.go} | 7 +- go/internal/feast/model/featureview.go | 32 ++- .../feast/model/featureviewprojection.go | 6 +- go/internal/feast/onlineserving/serving.go | 4 +- .../feast/onlineserving/serving_test.go | 22 +- .../server/logging/featureserviceschema.go | 9 +- .../logging/featureserviceschema_test.go | 39 ++-- go/internal/test/go_integration_test_utils.go | 24 +-- protos/feast/core/FeatureView.proto | 10 +- sdk/python/feast/entity.py | 28 +-- sdk/python/feast/feature_logging.py | 10 +- sdk/python/feast/feature_store.py | 38 ++-- sdk/python/feast/feature_view.py | 94 +++------ sdk/python/feast/inference.py | 191 +++++++++--------- sdk/python/feast/infra/offline_stores/file.py | 5 +- .../infra/offline_stores/offline_utils.py | 16 +- sdk/python/feast/infra/online_stores/redis.py | 6 +- .../feast/infra/passthrough_provider.py | 9 +- sdk/python/feast/infra/provider.py | 2 +- sdk/python/feast/on_demand_feature_view.py | 6 +- sdk/python/feast/templates/aws/driver_repo.py | 6 +- sdk/python/feast/templates/gcp/driver_repo.py | 6 +- sdk/python/feast/templates/hbase/example.py | 4 +- sdk/python/feast/templates/local/example.py | 6 +- .../feast/templates/postgres/driver_repo.py | 2 +- .../feast/templates/snowflake/driver_repo.py | 2 +- sdk/python/feast/templates/spark/example.py | 12 +- sdk/python/tests/data/data_creator.py | 20 +- sdk/python/tests/doctest/test_all.py | 8 +- .../example_repos/example_feature_repo_1.py | 34 ++-- .../example_repos/example_feature_repo_2.py | 7 +- ..._repo_with_duplicated_featureview_names.py | 8 +- ...ample_feature_repo_with_entity_join_key.py | 11 +- .../tests/integration/e2e/test_usage_e2e.py | 4 +- .../feature_repos/universal/entities.py | 11 +- .../feature_repos/universal/feature_views.py | 52 ++--- .../offline_store/test_feature_logging.py | 8 +- .../test_universal_historical_retrieval.py | 5 +- .../online_store/test_universal_online.py | 6 +- .../registration/test_feature_store.py | 66 +++--- .../registration/test_inference.py | 61 +++++- .../integration/registration/test_registry.py | 40 ++-- .../registration/test_universal_types.py | 65 ++---- .../scaffolding/test_partial_apply.py | 6 +- .../tests/unit/diff/test_registry_diff.py | 17 +- sdk/python/tests/unit/infra/test_provider.py | 5 +- sdk/python/tests/unit/test_entity.py | 31 +-- sdk/python/tests/unit/test_feature_view.py | 4 - .../tests/unit/test_unit_feature_store.py | 2 +- .../tests/utils/online_write_benchmark.py | 6 +- 55 files changed, 540 insertions(+), 583 deletions(-) rename go/internal/feast/model/{field.go => feature.go} (63%) diff --git a/examples/java-demo/feature_repo/driver_repo.py b/examples/java-demo/feature_repo/driver_repo.py index e17a5d9cf89..c91e5a40bed 100644 --- a/examples/java-demo/feature_repo/driver_repo.py +++ b/examples/java-demo/feature_repo/driver_repo.py @@ -7,14 +7,14 @@ from google.protobuf.duration_pb2 import Duration from feast.field import Field -from feast import Entity, Feature, BatchFeatureView, FileSource +from feast import Entity, Feature, BatchFeatureView, FileSource, ValueType driver_hourly_stats = FileSource( path="data/driver_stats_with_string.parquet", timestamp_field="event_timestamp", created_timestamp_column="created", ) -driver = Entity(name="driver_id", description="driver id",) +driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id",) driver_hourly_stats_view = BatchFeatureView( name="driver_hourly_stats", entities=["driver_id"], diff --git a/go/embedded/online_features.go b/go/embedded/online_features.go index 710f60dca8e..7cd1e4ed815 100644 --- a/go/embedded/online_features.go +++ b/go/embedded/online_features.go @@ -80,6 +80,12 @@ func (s *OnlineFeatureService) GetEntityTypesMap(featureRefs []string) (map[stri viewNames[viewName] = nil } + entities, _ := s.fs.ListEntities(true) + entitiesByName := make(map[string]*model.Entity) + for _, entity := range entities { + entitiesByName[entity.Name] = entity + } + joinKeyTypes := make(map[string]int32) for viewName := range viewNames { @@ -88,8 +94,9 @@ func (s *OnlineFeatureService) GetEntityTypesMap(featureRefs []string) (map[stri // skip on demand feature views continue } - for _, entityColumn := range view.EntityColumns { - joinKeyTypes[entityColumn.Name] = int32(entityColumn.Dtype.Number()) + for _, entityName := range view.Entities { + entity := entitiesByName[entityName] + joinKeyTypes[entity.JoinKey] = int32(entity.ValueType.Number()) } } @@ -104,14 +111,21 @@ func (s *OnlineFeatureService) GetEntityTypesMapByFeatureService(featureServiceN joinKeyTypes := make(map[string]int32) + entities, _ := s.fs.ListEntities(true) + entitiesByName := make(map[string]*model.Entity) + for _, entity := range entities { + entitiesByName[entity.Name] = entity + } + for _, projection := range featureService.Projections { view, err := s.fs.GetFeatureView(projection.Name, true) if err != nil { // skip on demand feature views continue } - for _, entityColumn := range view.EntityColumns { - joinKeyTypes[entityColumn.Name] = int32(entityColumn.Dtype.Number()) + for _, entityName := range view.Entities { + entity := entitiesByName[entityName] + joinKeyTypes[entity.JoinKey] = int32(entity.ValueType.Number()) } } diff --git a/go/internal/feast/featurestore.go b/go/internal/feast/featurestore.go index b0fc987fb46..4ecd781b746 100644 --- a/go/internal/feast/featurestore.go +++ b/go/internal/feast/featurestore.go @@ -132,7 +132,7 @@ func (fs *FeatureStore) GetOnlineFeatures( if entitylessCase { dummyEntityColumn := &prototypes.RepeatedValue{Val: make([]*prototypes.Value, numRows)} for index := 0; index < numRows; index++ { - dummyEntityColumn.Val[index] = &model.DUMMY_ENTITY_VALUE + dummyEntityColumn.Val[index] = &model.DUMMY_ENTITY } joinKeyToEntityValues[model.DUMMY_ENTITY_ID] = dummyEntityColumn } @@ -272,7 +272,7 @@ func (fs *FeatureStore) GetFeatureView(featureViewName string, hideDummyEntity b return nil, err } if fv.HasEntity(model.DUMMY_ENTITY_NAME) && hideDummyEntity { - fv.EntityNames = []string{} + fv.Entities = []string{} } return fv, nil } diff --git a/go/internal/feast/model/basefeatureview.go b/go/internal/feast/model/basefeatureview.go index 1bdf614c25a..28ef7231fd5 100644 --- a/go/internal/feast/model/basefeatureview.go +++ b/go/internal/feast/model/basefeatureview.go @@ -8,15 +8,15 @@ import ( type BaseFeatureView struct { Name string - Features []*Field + Features []*Feature Projection *FeatureViewProjection } func NewBaseFeatureView(name string, featureProtos []*core.FeatureSpecV2) *BaseFeatureView { base := &BaseFeatureView{Name: name} - features := make([]*Field, len(featureProtos)) + features := make([]*Feature, len(featureProtos)) for index, featureSpecV2 := range featureProtos { - features[index] = NewFieldFromProto(featureSpecV2) + features[index] = NewFeatureFromProto(featureSpecV2) } base.Features = features base.Projection = NewFeatureViewProjectionFromDefinition(base) @@ -43,7 +43,7 @@ func (fv *BaseFeatureView) WithProjection(projection *FeatureViewProjection) (*B } func (fv *BaseFeatureView) ProjectWithFeatures(featureNames []string) *FeatureViewProjection { - features := make([]*Field, 0) + features := make([]*Feature, 0) for _, feature := range fv.Features { for _, allowedFeatureName := range featureNames { if feature.Name == allowedFeatureName { diff --git a/go/internal/feast/model/entity.go b/go/internal/feast/model/entity.go index 5a09edb6557..ac3a5d5f26e 100644 --- a/go/internal/feast/model/entity.go +++ b/go/internal/feast/model/entity.go @@ -2,16 +2,18 @@ package model import ( "github.com/feast-dev/feast/go/protos/feast/core" + "github.com/feast-dev/feast/go/protos/feast/types" ) type Entity struct { - Name string - JoinKey string + Name string + ValueType types.ValueType_Enum + JoinKey string } func NewEntityFromProto(proto *core.Entity) *Entity { - return &Entity{ - Name: proto.Spec.Name, - JoinKey: proto.Spec.JoinKey, + return &Entity{Name: proto.Spec.Name, + ValueType: proto.Spec.ValueType, + JoinKey: proto.Spec.JoinKey, } } diff --git a/go/internal/feast/model/field.go b/go/internal/feast/model/feature.go similarity index 63% rename from go/internal/feast/model/field.go rename to go/internal/feast/model/feature.go index 4f72d346866..d833a8901b5 100644 --- a/go/internal/feast/model/field.go +++ b/go/internal/feast/model/feature.go @@ -5,14 +5,13 @@ import ( "github.com/feast-dev/feast/go/protos/feast/types" ) -type Field struct { +type Feature struct { Name string Dtype types.ValueType_Enum } -func NewFieldFromProto(proto *core.FeatureSpecV2) *Field { - return &Field{ - Name: proto.Name, +func NewFeatureFromProto(proto *core.FeatureSpecV2) *Feature { + return &Feature{Name: proto.Name, Dtype: proto.ValueType, } } diff --git a/go/internal/feast/model/featureview.go b/go/internal/feast/model/featureview.go index ceb3736f998..6c198f99947 100644 --- a/go/internal/feast/model/featureview.go +++ b/go/internal/feast/model/featureview.go @@ -13,13 +13,12 @@ const ( DUMMY_ENTITY_VAL = "" ) -var DUMMY_ENTITY_VALUE types.Value = types.Value{Val: &types.Value_StringVal{StringVal: DUMMY_ENTITY_VAL}} +var DUMMY_ENTITY types.Value = types.Value{Val: &types.Value_StringVal{StringVal: DUMMY_ENTITY_VAL}} type FeatureView struct { - Base *BaseFeatureView - Ttl *durationpb.Duration - EntityNames []string - EntityColumns []*Field + Base *BaseFeatureView + Ttl *durationpb.Duration + Entities []string } func NewFeatureViewFromProto(proto *core.FeatureView) *FeatureView { @@ -27,30 +26,25 @@ func NewFeatureViewFromProto(proto *core.FeatureView) *FeatureView { Ttl: &(*proto.Spec.Ttl), } if len(proto.Spec.Entities) == 0 { - featureView.EntityNames = []string{DUMMY_ENTITY_NAME} + featureView.Entities = []string{DUMMY_ENTITY_NAME} } else { - featureView.EntityNames = proto.Spec.Entities + featureView.Entities = proto.Spec.Entities } - entityColumns := make([]*Field, len(proto.Spec.EntityColumns)) - for i, entityColumn := range proto.Spec.EntityColumns { - entityColumns[i] = NewFieldFromProto(entityColumn) - } - featureView.EntityColumns = entityColumns return featureView } -func (fv *FeatureView) NewFeatureViewFromBase(base *BaseFeatureView) *FeatureView { - ttl := durationpb.Duration{Seconds: fv.Ttl.Seconds, Nanos: fv.Ttl.Nanos} +func (fs *FeatureView) NewFeatureViewFromBase(base *BaseFeatureView) *FeatureView { + ttl := durationpb.Duration{Seconds: fs.Ttl.Seconds, Nanos: fs.Ttl.Nanos} featureView := &FeatureView{Base: base, - Ttl: &ttl, - EntityNames: fv.EntityNames, + Ttl: &ttl, + Entities: fs.Entities, } return featureView } -func (fv *FeatureView) HasEntity(name string) bool { - for _, entityName := range fv.EntityNames { - if entityName == name { +func (fs *FeatureView) HasEntity(lookup string) bool { + for _, entityName := range fs.Entities { + if entityName == lookup { return true } } diff --git a/go/internal/feast/model/featureviewprojection.go b/go/internal/feast/model/featureviewprojection.go index fe54774ff1e..e80e8844ed2 100644 --- a/go/internal/feast/model/featureviewprojection.go +++ b/go/internal/feast/model/featureviewprojection.go @@ -7,7 +7,7 @@ import ( type FeatureViewProjection struct { Name string NameAlias string - Features []*Field + Features []*Feature JoinKeyMap map[string]string } @@ -24,9 +24,9 @@ func NewFeatureViewProjectionFromProto(proto *core.FeatureViewProjection) *Featu JoinKeyMap: proto.JoinKeyMap, } - features := make([]*Field, len(proto.FeatureColumns)) + features := make([]*Feature, len(proto.FeatureColumns)) for index, featureSpecV2 := range proto.FeatureColumns { - features[index] = NewFieldFromProto(featureSpecV2) + features[index] = NewFeatureFromProto(featureSpecV2) } featureProjection.Features = features return featureProjection diff --git a/go/internal/feast/onlineserving/serving.go b/go/internal/feast/onlineserving/serving.go index e2a2df923be..1d0567c3547 100644 --- a/go/internal/feast/onlineserving/serving.go +++ b/go/internal/feast/onlineserving/serving.go @@ -251,7 +251,7 @@ func GetEntityMaps(requestedFeatureViews []*FeatureViewAndRefs, entities []*mode joinKeyToAliasMap = map[string]string{} } - for _, entityName := range featureView.EntityNames { + for _, entityName := range featureView.Entities { joinKey := entitiesByName[entityName].JoinKey entityNameToJoinKeyMap[entityName] = joinKey @@ -518,7 +518,7 @@ func GroupFeatureRefs(requestedFeatureViews []*FeatureViewAndRefs, joinKeys := make([]string, 0) fv := featuresAndView.View featureNames := featuresAndView.FeatureRefs - for _, entityName := range fv.EntityNames { + for _, entityName := range fv.Entities { joinKeys = append(joinKeys, entityNameToJoinKeyMap[entityName]) } diff --git a/go/internal/feast/onlineserving/serving_test.go b/go/internal/feast/onlineserving/serving_test.go index bd4e45a21ec..0a00f546f9e 100644 --- a/go/internal/feast/onlineserving/serving_test.go +++ b/go/internal/feast/onlineserving/serving_test.go @@ -20,19 +20,19 @@ func TestGroupingFeatureRefs(t *testing.T) { NameAlias: "aliasViewA", }, }, - EntityNames: []string{"driver", "customer"}, + Entities: []string{"driver", "customer"}, } viewB := &model.FeatureView{ - Base: &model.BaseFeatureView{Name: "viewB"}, - EntityNames: []string{"driver", "customer"}, + Base: &model.BaseFeatureView{Name: "viewB"}, + Entities: []string{"driver", "customer"}, } viewC := &model.FeatureView{ - Base: &model.BaseFeatureView{Name: "viewC"}, - EntityNames: []string{"driver"}, + Base: &model.BaseFeatureView{Name: "viewC"}, + Entities: []string{"driver"}, } viewD := &model.FeatureView{ - Base: &model.BaseFeatureView{Name: "viewD"}, - EntityNames: []string{"customer"}, + Base: &model.BaseFeatureView{Name: "viewD"}, + Entities: []string{"customer"}, } refGroups, _ := GroupFeatureRefs( []*FeatureViewAndRefs{ @@ -105,11 +105,11 @@ func TestGroupingFeatureRefsWithJoinKeyAliases(t *testing.T) { JoinKeyMap: map[string]string{"location_id": "destination_id"}, }, }, - EntityNames: []string{"location"}, + Entities: []string{"location"}, } viewB := &model.FeatureView{ - Base: &model.BaseFeatureView{Name: "viewB"}, - EntityNames: []string{"location"}, + Base: &model.BaseFeatureView{Name: "viewB"}, + Entities: []string{"location"}, } refGroups, _ := GroupFeatureRefs( @@ -164,7 +164,7 @@ func TestGroupingFeatureRefsWithMissingKey(t *testing.T) { JoinKeyMap: map[string]string{"location_id": "destination_id"}, }, }, - EntityNames: []string{"location"}, + Entities: []string{"location"}, } _, err := GroupFeatureRefs( diff --git a/go/internal/feast/server/logging/featureserviceschema.go b/go/internal/feast/server/logging/featureserviceschema.go index 2779982fc0a..5047346c2ca 100644 --- a/go/internal/feast/server/logging/featureserviceschema.go +++ b/go/internal/feast/server/logging/featureserviceschema.go @@ -52,12 +52,13 @@ func generateSchema(featureService *model.FeatureService, entityMap map[string]* features = append(features, fullFeatureName) allFeatureTypes[fullFeatureName] = f.Dtype } - for _, entityColumn := range fv.EntityColumns { + for _, entityName := range fv.Entities { + entity := entityMap[entityName] var joinKey string - if joinKeyAlias, ok := featureProjection.JoinKeyMap[entityColumn.Name]; ok { + if joinKeyAlias, ok := featureProjection.JoinKeyMap[entity.JoinKey]; ok { joinKey = joinKeyAlias } else { - joinKey = entityColumn.Name + joinKey = entity.JoinKey } if _, ok := joinKeysSet[joinKey]; !ok { @@ -65,7 +66,7 @@ func generateSchema(featureService *model.FeatureService, entityMap map[string]* } joinKeysSet[joinKey] = nil - entityJoinKeyToType[joinKey] = entityColumn.Dtype + entityJoinKeyToType[joinKey] = entity.ValueType } } else if odFv, ok := odFvMap[featureViewName]; ok { for _, f := range featureProjection.Features { diff --git a/go/internal/feast/server/logging/featureserviceschema_test.go b/go/internal/feast/server/logging/featureserviceschema_test.go index 6fa1c12e241..efcd5ec7fcc 100644 --- a/go/internal/feast/server/logging/featureserviceschema_test.go +++ b/go/internal/feast/server/logging/featureserviceschema_test.go @@ -74,10 +74,9 @@ func TestSchemaRetrievalIgnoresEntitiesNotInFeatureService(t *testing.T) { featureService, entities, fvs, odfvs := InitializeFeatureRepoVariablesForTest() entityMap, fvMap, odFvMap := buildFCOMaps(entities, fvs, odfvs) - // Remove entities in featureservice + //Remove entities in featureservice for _, featureView := range fvs { - featureView.EntityNames = []string{} - featureView.EntityColumns = []*model.Field{} + featureView.Entities = []string{} } schema, err := generateSchema(featureService, entityMap, fvMap, odFvMap) @@ -127,69 +126,65 @@ func TestSchemaUsesOrderInFeatureService(t *testing.T) { // Initialize all dummy featureservice, entities and featureviews/on demand featureviews for testing. func InitializeFeatureRepoVariablesForTest() (*model.FeatureService, []*model.Entity, []*model.FeatureView, []*model.OnDemandFeatureView) { - f1 := test.CreateNewField( + f1 := test.CreateNewFeature( "int64", types.ValueType_INT64, ) - f2 := test.CreateNewField( + f2 := test.CreateNewFeature( "float32", types.ValueType_FLOAT, ) projection1 := test.CreateNewFeatureViewProjection( "featureView1", "", - []*model.Field{f1, f2}, + []*model.Feature{f1, f2}, map[string]string{}, ) baseFeatureView1 := test.CreateBaseFeatureView( "featureView1", - []*model.Field{f1, f2}, + []*model.Feature{f1, f2}, projection1, ) - entity1 := test.CreateNewEntity("driver_id", "driver_id") - entitycolumn1 := test.CreateNewField( - "driver_id", - types.ValueType_INT64, - ) - featureView1 := test.CreateFeatureView(baseFeatureView1, nil, []string{"driver_id"}, []*model.Field{entitycolumn1}) - f3 := test.CreateNewField( + featureView1 := test.CreateFeatureView(baseFeatureView1, nil, []string{"driver_id"}) + entity1 := test.CreateNewEntity("driver_id", types.ValueType_INT64, "driver_id") + f3 := test.CreateNewFeature( "int32", types.ValueType_INT32, ) - f4 := test.CreateNewField( + f4 := test.CreateNewFeature( "double", types.ValueType_DOUBLE, ) projection2 := test.CreateNewFeatureViewProjection( "featureView2", "", - []*model.Field{f3, f4}, + []*model.Feature{f3, f4}, map[string]string{}, ) baseFeatureView2 := test.CreateBaseFeatureView( "featureView2", - []*model.Field{f3, f4}, + []*model.Feature{f3, f4}, projection2, ) - featureView2 := test.CreateFeatureView(baseFeatureView2, nil, []string{"driver_id"}, []*model.Field{entitycolumn1}) + featureView2 := test.CreateFeatureView(baseFeatureView2, nil, []string{"driver_id"}) - f5 := test.CreateNewField( + f5 := test.CreateNewFeature( "odfv_f1", types.ValueType_INT32, ) - f6 := test.CreateNewField( + f6 := test.CreateNewFeature( "odfv_f2", types.ValueType_DOUBLE, ) projection3 := test.CreateNewFeatureViewProjection( "od_bf1", "", - []*model.Field{f5, f6}, + []*model.Feature{f5, f6}, map[string]string{}, ) od_bf1 := test.CreateBaseFeatureView( "od_bf1", - []*model.Field{f5, f6}, + []*model.Feature{f5, f6}, projection3, ) odfv := model.NewOnDemandFeatureViewFromBase(od_bf1) diff --git a/go/internal/test/go_integration_test_utils.go b/go/internal/test/go_integration_test_utils.go index 275edc7b98e..eb727ba1db9 100644 --- a/go/internal/test/go_integration_test_utils.go +++ b/go/internal/test/go_integration_test_utils.go @@ -193,7 +193,7 @@ func GetProtoFromRecord(rec arrow.Record) (map[string]*types.RepeatedValue, erro return r, nil } -func CreateBaseFeatureView(name string, features []*model.Field, projection *model.FeatureViewProjection) *model.BaseFeatureView { +func CreateBaseFeatureView(name string, features []*model.Feature, projection *model.FeatureViewProjection) *model.BaseFeatureView { return &model.BaseFeatureView{ Name: name, Features: features, @@ -201,15 +201,16 @@ func CreateBaseFeatureView(name string, features []*model.Field, projection *mod } } -func CreateNewEntity(name string, joinKey string) *model.Entity { +func CreateNewEntity(name string, valueType types.ValueType_Enum, joinKey string) *model.Entity { return &model.Entity{ - Name: name, - JoinKey: joinKey, + Name: name, + ValueType: valueType, + JoinKey: joinKey, } } -func CreateNewField(name string, dtype types.ValueType_Enum) *model.Field { - return &model.Field{Name: name, +func CreateNewFeature(name string, dtype types.ValueType_Enum) *model.Feature { + return &model.Feature{Name: name, Dtype: dtype, } } @@ -224,7 +225,7 @@ func CreateNewFeatureService(name string, project string, createdTimestamp *time } } -func CreateNewFeatureViewProjection(name string, nameAlias string, features []*model.Field, joinKeyMap map[string]string) *model.FeatureViewProjection { +func CreateNewFeatureViewProjection(name string, nameAlias string, features []*model.Feature, joinKeyMap map[string]string) *model.FeatureViewProjection { return &model.FeatureViewProjection{Name: name, NameAlias: nameAlias, Features: features, @@ -232,11 +233,10 @@ func CreateNewFeatureViewProjection(name string, nameAlias string, features []*m } } -func CreateFeatureView(base *model.BaseFeatureView, ttl *durationpb.Duration, entities []string, entityColumns []*model.Field) *model.FeatureView { +func CreateFeatureView(base *model.BaseFeatureView, ttl *durationpb.Duration, entities []string) *model.FeatureView { return &model.FeatureView{ - Base: base, - Ttl: ttl, - EntityNames: entities, - EntityColumns: entityColumns, + Base: base, + Ttl: ttl, + Entities: entities, } } diff --git a/protos/feast/core/FeatureView.proto b/protos/feast/core/FeatureView.proto index c9e38bf3448..26623505401 100644 --- a/protos/feast/core/FeatureView.proto +++ b/protos/feast/core/FeatureView.proto @@ -35,7 +35,7 @@ message FeatureView { FeatureViewMeta meta = 2; } -// Next available id: 13 +// Next available id: 12 // TODO(adchia): refactor common fields from this and ODFV into separate metadata proto message FeatureViewSpec { // Name of the feature view. Must be unique. Not updated. @@ -44,15 +44,13 @@ message FeatureViewSpec { // Name of Feast project that this feature view belongs to. string project = 2; - // List of names of entities associated with this feature view. + // List names of entities to associate with the Features defined in this + // Feature View. Not updatable. repeated string entities = 3; - // List of specifications for each feature defined as part of this feature view. + // List of specifications for each field defined as part of this feature view. repeated FeatureSpecV2 features = 4; - // List of specifications for each entity defined as part of this feature view. - repeated FeatureSpecV2 entity_columns = 12; - // Description of the feature view. string description = 10; diff --git a/sdk/python/feast/entity.py b/sdk/python/feast/entity.py index e29ac4f6ef2..3aaf0f9b695 100644 --- a/sdk/python/feast/entity.py +++ b/sdk/python/feast/entity.py @@ -31,7 +31,7 @@ class Entity: Attributes: name: The unique name of the entity. - value_type (deprecated): The type of the entity, such as string or float. + value_type: The type of the entity, such as string or float. join_key: A property that uniquely identifies different entities within the collection. The join_key property is typically used for joining entities with their associated features. If not specified, defaults to the name. @@ -60,7 +60,7 @@ def __init__( self, *args, name: Optional[str] = None, - value_type: Optional[ValueType] = None, + value_type: ValueType = ValueType.UNKNOWN, description: str = "", join_key: Optional[str] = None, tags: Optional[Dict[str, str]] = None, @@ -72,7 +72,7 @@ def __init__( Args: name: The unique name of the entity. - value_type (deprecated): The type of the entity, such as string or float. + value_type: The type of the entity, such as string or float. description: A human-readable description. join_key (deprecated): A property that uniquely identifies different entities within the collection. The join_key property is typically used for joining entities @@ -104,23 +104,8 @@ def __init__( if not self.name: raise ValueError("Name needs to be specified") - if value_type: - warnings.warn( - ( - "The `value_type` parameter is being deprecated. Instead, the type of an entity " - "should be specified as a Field in the schema of a feature view. Feast 0.22 and " - "onwards will not support the `value_type` parameter. The `entities` parameter of " - "feature views should also be changed to a List[Entity] instead of a List[str]; if " - "this is not done, entity columns will be mistakenly interpreted as feature columns." - ), - DeprecationWarning, - ) - self.value_type = value_type or ValueType.UNKNOWN + self.value_type = value_type - # For now, both the `join_key` and `join_keys` attributes are set correctly, - # so both are usable. - # TODO(felixwang9817): Remove the usage of `join_key` throughout the codebase - # when the usage of `join_key` as a parameter is removed. if join_key: warnings.warn( ( @@ -140,8 +125,6 @@ def __init__( self.join_key = join_keys[0] else: self.join_key = join_key if join_key else self.name - if not self.join_keys: - self.join_keys = [self.join_key] self.description = description self.tags = tags if tags is not None else {} self.owner = owner @@ -170,9 +153,6 @@ def __eq__(self, other): def __str__(self): return str(MessageToJson(self.to_proto())) - def __lt__(self, other): - return self.name < other.name - def is_valid(self): """ Validates the state of this entity locally. diff --git a/sdk/python/feast/feature_logging.py b/sdk/python/feast/feature_logging.py index e951eaabc30..70fab930bbf 100644 --- a/sdk/python/feast/feature_logging.py +++ b/sdk/python/feast/feature_logging.py @@ -14,6 +14,7 @@ from feast.protos.feast.core.FeatureService_pb2 import ( LoggingConfig as LoggingConfigProto, ) +from feast.types import from_value_type if TYPE_CHECKING: from feast import FeatureService @@ -81,11 +82,14 @@ def get_schema(self, registry: "Registry") -> pa.Schema: fields[field.name] = FEAST_TYPE_TO_ARROW_TYPE[field.dtype] else: - for entity_column in feature_view.entity_columns: + for entity_name in feature_view.entities: + entity = registry.get_entity(entity_name, self._project) join_key = projection.join_key_map.get( - entity_column.name, entity_column.name + entity.join_key, entity.join_key ) - fields[join_key] = FEAST_TYPE_TO_ARROW_TYPE[entity_column.dtype] + fields[join_key] = FEAST_TYPE_TO_ARROW_TYPE[ + from_value_type(entity.value_type) + ] # system columns fields[REQUEST_ID_FIELD] = pa.string() diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 5f4918301cb..4b015e8ab82 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -64,7 +64,8 @@ ) from feast.inference import ( update_data_sources_with_inferred_event_timestamp_col, - update_feature_views_with_inferred_features_and_entities, + update_entities_with_inferred_types_from_feature_views, + update_feature_views_with_inferred_features, ) from feast.infra.infra_object import Infra from feast.infra.provider import Provider, RetrievalJob, get_provider @@ -253,7 +254,6 @@ def _list_feature_views( ): if hide_dummy_entity and fv.entities[0] == DUMMY_ENTITY_NAME: fv.entities = [] - fv.entity_columns = [] feature_views.append(fv) return feature_views @@ -476,7 +476,11 @@ def _make_inferences( views_to_update: List[FeatureView], odfvs_to_update: List[OnDemandFeatureView], ): - """Makes inferences for data sources, feature views, and odfvs.""" + """Makes inferences for entities, feature views, and odfvs.""" + update_entities_with_inferred_types_from_feature_views( + entities_to_update, views_to_update, self.config + ) + update_data_sources_with_inferred_event_timestamp_col( data_sources_to_update, self.config ) @@ -487,7 +491,7 @@ def _make_inferences( # New feature views may reference previously applied entities. entities = self._list_entities() - update_feature_views_with_inferred_features_and_entities( + update_feature_views_with_inferred_features( views_to_update, entities + entities_to_update, self.config ) @@ -513,11 +517,11 @@ def _plan( Examples: Generate a plan adding an Entity and a FeatureView. - >>> from feast import FeatureStore, Entity, FeatureView, Feature, FileSource, RepoConfig + >>> from feast import FeatureStore, Entity, FeatureView, Feature, ValueType, FileSource, RepoConfig >>> from feast.feature_store import RepoContents >>> from datetime import timedelta >>> fs = FeatureStore(repo_path="feature_repo") - >>> driver = Entity(name="driver_id", description="driver id") + >>> driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id") >>> driver_hourly_stats = FileSource( ... path="feature_repo/data/driver_stats.parquet", ... timestamp_field="event_timestamp", @@ -525,7 +529,7 @@ def _plan( ... ) >>> driver_hourly_stats_view = FeatureView( ... name="driver_hourly_stats", - ... entities=[driver], + ... entities=["driver_id"], ... ttl=timedelta(seconds=86400 * 1), ... batch_source=driver_hourly_stats, ... ) @@ -625,10 +629,10 @@ def apply( Examples: Register an Entity and a FeatureView. - >>> from feast import FeatureStore, Entity, FeatureView, Feature, FileSource, RepoConfig + >>> from feast import FeatureStore, Entity, FeatureView, Feature, ValueType, FileSource, RepoConfig >>> from datetime import timedelta >>> fs = FeatureStore(repo_path="feature_repo") - >>> driver = Entity(name="driver_id", description="driver id") + >>> driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id") >>> driver_hourly_stats = FileSource( ... path="feature_repo/data/driver_stats.parquet", ... timestamp_field="event_timestamp", @@ -636,7 +640,7 @@ def apply( ... ) >>> driver_hourly_stats_view = FeatureView( ... name="driver_hourly_stats", - ... entities=[driver], + ... entities=["driver_id"], ... ttl=timedelta(seconds=86400 * 1), ... batch_source=driver_hourly_stats, ... ) @@ -683,9 +687,6 @@ def apply( data_sources_to_update = list(data_sources_set_to_update) - # Handle all entityless feature views by using DUMMY_ENTITY as a placeholder entity. - entities_to_update.append(DUMMY_ENTITY) - # Validate all feature views and make inferences. self._validate_all_feature_views( views_to_update, odfvs_to_update, request_views_to_update @@ -694,6 +695,9 @@ def apply( data_sources_to_update, entities_to_update, views_to_update, odfvs_to_update ) + # Handle all entityless feature views by using DUMMY_ENTITY as a placeholder entity. + entities_to_update.append(DUMMY_ENTITY) + # Add all objects to the registry and update the provider's infrastructure. for ds in data_sources_to_update: self._registry.apply_data_source(ds, project=self.project, commit=False) @@ -1537,12 +1541,12 @@ def _get_columnar_entity_values( def _get_entity_maps( self, feature_views ) -> Tuple[Dict[str, str], Dict[str, ValueType], Set[str]]: - # TODO(felixwang9817): Support entities that have different types for different feature views. entities = self._list_entities(allow_cache=True, hide_dummy_entity=False) entity_name_to_join_key_map: Dict[str, str] = {} entity_type_map: Dict[str, ValueType] = {} for entity in entities: entity_name_to_join_key_map[entity.name] = entity.join_key + entity_type_map[entity.name] = entity.value_type for feature_view in feature_views: for entity_name in feature_view.entities: entity = self._registry.get_entity( @@ -1557,11 +1561,7 @@ def _get_entity_maps( entity.join_key, entity.join_key ) entity_name_to_join_key_map[entity_name] = join_key - for entity_column in feature_view.entity_columns: - entity_type_map[ - entity_column.name - ] = entity_column.dtype.to_value_type() - + entity_type_map[join_key] = entity.value_type return ( entity_name_to_join_key_map, entity_type_map, diff --git a/sdk/python/feast/feature_view.py b/sdk/python/feast/feature_view.py index fa9cb033051..65a4914a8f7 100644 --- a/sdk/python/feast/feature_view.py +++ b/sdk/python/feast/feature_view.py @@ -36,6 +36,7 @@ MaterializationInterval as MaterializationIntervalProto, ) from feast.usage import log_exceptions +from feast.value_type import ValueType warnings.simplefilter("once", DeprecationWarning) @@ -43,7 +44,9 @@ DUMMY_ENTITY_ID = "__dummy_id" DUMMY_ENTITY_NAME = "__dummy" DUMMY_ENTITY_VAL = "" -DUMMY_ENTITY = Entity(name=DUMMY_ENTITY_NAME, join_keys=[DUMMY_ENTITY_ID],) +DUMMY_ENTITY = Entity( + name=DUMMY_ENTITY_NAME, join_keys=[DUMMY_ENTITY_ID], value_type=ValueType.STRING, +) class FeatureView(BaseFeatureView): @@ -52,7 +55,7 @@ class FeatureView(BaseFeatureView): Attributes: name: The unique name of the feature view. - entities: The list of names of entities that this feature view is associated with. + entities: The list of entities with which this group of features is associated. ttl: The amount of time this group of features lives. A ttl of 0 indicates that this group of features lives forever. Note that large ttl's or a ttl of 0 can result in extremely computationally intensive queries. @@ -62,11 +65,9 @@ class FeatureView(BaseFeatureView): stream_source (optional): The stream source of data where this group of features is stored. This is deprecated in favor of `source`. schema: The schema of the feature view, including feature, timestamp, and entity - columns. If not specified, can be inferred from the underlying data source. - entity_columns: The list of entity columns contained in the schema. If not specified, - can be inferred from the underlying data source. - features: The list of feature columns contained in the schema. If not specified, - can be inferred from the underlying data source. + columns. + features: The list of features defined as part of this feature view. Each + feature should also be included in the schema. online: A boolean indicating whether online retrieval is enabled for this feature view. description: A human-readable description. @@ -83,7 +84,6 @@ class FeatureView(BaseFeatureView): batch_source: DataSource stream_source: Optional[DataSource] schema: List[Field] - entity_columns: List[Field] features: List[Field] online: bool description: str @@ -129,15 +129,14 @@ def __init__( owner (optional): The owner of the feature view, typically the email of the primary maintainer. schema (optional): The schema of the feature view, including feature, timestamp, - and entity columns. If entity columns are included in the schema, a List[Entity] - must be passed to `entities` instead of a List[str]; otherwise, the entity columns - will be mistakenly interpreted as feature columns. + and entity columns. source (optional): The source of data for this group of features. May be a stream source, or a batch source. If a stream source, the source should contain a batch_source for backfills & batch materialization. Raises: ValueError: A field mapping conflicts with an Entity or a Feature. """ + positional_attributes = ["name", "entities", "ttl"] _name = name @@ -168,21 +167,11 @@ def __init__( raise ValueError("feature view name needs to be specified") self.name = _name - self.entities = ( [e.name if isinstance(e, Entity) else e for e in _entities] if _entities else [DUMMY_ENTITY_NAME] ) - if _entities and isinstance(_entities[0], str): - warnings.warn( - ( - "The `entities` parameter should be a list of `Entity` objects. " - "Feast 0.22 and onwards will not support passing in a list of " - "strings to define entities." - ), - DeprecationWarning, - ) self._initialize_sources(_name, batch_source, stream_source, source) @@ -217,30 +206,14 @@ def __init__( _schema = [Field.from_feature(feature) for feature in features] self.schema = _schema - # If a user has added entity fields to schema, then they should also have switched - # to using a List[Entity], in which case entity and feature columns can be separated - # here. Conversely, if the user is still using a List[str], they must not have added - # added entity fields, in which case we can set the `features` attribute directly - # equal to the schema. - _features: List[Field] = [] - self.entity_columns = [] - if _entities and len(_entities) > 0 and isinstance(_entities[0], str): - _features = _schema - else: - join_keys = [] - if _entities: - for entity in _entities: - if isinstance(entity, Entity): - join_keys += entity.join_keys - - for field in _schema: - if field.name in join_keys: - self.entity_columns.append(field) - else: - _features.append(field) + # TODO(felixwang9817): Infer which fields in the schema are features, timestamps, + # and entities. For right now we assume that all fields are features, since the + # current `features` parameter only accepts feature columns. + _features = _schema - # TODO(felixwang9817): Add more robust validation of features. - cols = [field.name for field in _schema] + cols = [entity for entity in self.entities] + [ + field.name for field in _features + ] for col in cols: if ( self.batch_source.field_mapping is not None @@ -303,6 +276,7 @@ def __hash__(self): def __copy__(self): fv = FeatureView( name=self.name, + entities=self.entities, ttl=self.ttl, source=self.batch_source, stream_source=self.stream_source, @@ -310,13 +284,6 @@ def __copy__(self): tags=self.tags, online=self.online, ) - - # This is deliberately set outside of the FV initialization to avoid the deprecation warning. - # TODO(felixwang9817): Move this into the FV initialization when the deprecation warning - # is removed. - fv.entities = self.entities - fv.features = copy.copy(self.features) - fv.entity_columns = copy.copy(self.entity_columns) fv.projection = copy.copy(self.projection) return fv @@ -335,16 +302,12 @@ def __eq__(self, other): or self.online != other.online or self.batch_source != other.batch_source or self.stream_source != other.stream_source + or self.schema != other.schema ): return False return True - @property - def join_keys(self) -> List[str]: - """Returns a list of all the join keys.""" - return [entity.name for entity in self.entity_columns] - def ensure_valid(self): """ Validates the state of this feature view locally. @@ -430,8 +393,7 @@ def to_proto(self) -> FeatureViewProto: spec = FeatureViewSpecProto( name=self.name, entities=self.entities, - entity_columns=[field.to_proto() for field in self.entity_columns], - features=[field.to_proto() for field in self.features], + features=[field.to_proto() for field in self.schema], description=self.description, tags=self.tags, owner=self.owner, @@ -462,7 +424,11 @@ def from_proto(cls, feature_view_proto: FeatureViewProto): ) feature_view = cls( name=feature_view_proto.spec.name, - entities=feature_view_proto.spec.entities, + entities=[entity for entity in feature_view_proto.spec.entities], + schema=[ + Field.from_proto(field_proto) + for field_proto in feature_view_proto.spec.features + ], description=feature_view_proto.spec.description, tags=dict(feature_view_proto.spec.tags), owner=feature_view_proto.spec.owner, @@ -477,16 +443,6 @@ def from_proto(cls, feature_view_proto: FeatureViewProto): if stream_source: feature_view.stream_source = stream_source - # Instead of passing in a schema, we set the features and entity columns. - feature_view.features = [ - Field.from_proto(field_proto) - for field_proto in feature_view_proto.spec.features - ] - feature_view.entity_columns = [ - Field.from_proto(field_proto) - for field_proto in feature_view_proto.spec.entity_columns - ] - # FeatureViewProjections are not saved in the FeatureView proto. # Create the default projection. feature_view.projection = FeatureViewProjection.from_definition(feature_view) diff --git a/sdk/python/feast/inference.py b/sdk/python/feast/inference.py index 9ca6e9a9880..076cbc86ceb 100644 --- a/sdk/python/feast/inference.py +++ b/sdk/python/feast/inference.py @@ -4,13 +4,70 @@ from feast import BigQuerySource, Entity, FileSource, RedshiftSource, SnowflakeSource from feast.data_source import DataSource, PushSource, RequestSource from feast.errors import RegistryInferenceFailure -from feast.feature_view import DUMMY_ENTITY_ID, DUMMY_ENTITY_NAME, FeatureView +from feast.feature_view import FeatureView from feast.field import Field, from_value_type from feast.repo_config import RepoConfig -from feast.types import String from feast.value_type import ValueType +def update_entities_with_inferred_types_from_feature_views( + entities: List[Entity], feature_views: List[FeatureView], config: RepoConfig +) -> None: + """ + Infers the types of the entities by examining the schemas of feature view batch sources. + + Args: + entities: The entities to be updated. + feature_views: A list containing feature views associated with the entities. + config: The config for the current feature store. + """ + incomplete_entities = { + entity.name: entity + for entity in entities + if entity.value_type == ValueType.UNKNOWN + } + incomplete_entities_keys = incomplete_entities.keys() + + for view in feature_views: + if not (incomplete_entities_keys & set(view.entities)): + continue # skip if view doesn't contain any entities that need inference + + col_names_and_types = list( + view.batch_source.get_table_column_names_and_types(config) + ) + for entity_name in view.entities: + if entity_name in incomplete_entities: + entity = incomplete_entities[entity_name] + + # get entity information from information extracted from the view batch source + extracted_entity_name_type_pairs = list( + filter(lambda tup: tup[0] == entity.join_key, col_names_and_types,) + ) + if len(extracted_entity_name_type_pairs) == 0: + # Doesn't mention inference error because would also be an error without inferencing + raise ValueError( + f"""No column in the batch source for the {view.name} feature view matches + its entity's name.""" + ) + + inferred_value_type = view.batch_source.source_datatype_to_feast_value_type()( + extracted_entity_name_type_pairs[0][1] + ) + + if ( + entity.value_type != ValueType.UNKNOWN + and entity.value_type != inferred_value_type + ) or (len(extracted_entity_name_type_pairs) > 1): + raise RegistryInferenceFailure( + "Entity", + f"""Entity value_type inference failed for {entity_name} entity. + Multiple viable matches. + """, + ) + + entity.value_type = inferred_value_type + + def update_data_sources_with_inferred_event_timestamp_col( data_sources: List[DataSource], config: RepoConfig ) -> None: @@ -83,115 +140,57 @@ def update_data_sources_with_inferred_event_timestamp_col( ) -def update_feature_views_with_inferred_features_and_entities( +def update_feature_views_with_inferred_features( fvs: List[FeatureView], entities: List[Entity], config: RepoConfig ) -> None: """ - Infers the set of features and entities associated with each feature view and updates - the feature view with those features and entities. Columns whose names match a join key - of an entity are considered to be entity columns; all other columns except designated - timestamp columns, are considered to be feature columns. + Infers the set of features associated to each FeatureView and updates the FeatureView with those features. + Inference occurs through considering each column of the underlying data source as a feature except columns that are + associated with the data source's timestamp columns and the FeatureView's entity columns. Args: fvs: The feature views to be updated. entities: A list containing entities associated with the feature views. config: The config for the current feature store. """ - entity_name_to_entity_map = {e.name: e for e in entities} - entity_name_to_join_keys_map = {e.name: e.join_keys for e in entities} - all_join_keys = [ - join_key - for join_key_list in entity_name_to_join_keys_map.values() - for join_key in join_key_list - ] + entity_name_to_join_key_map = {entity.name: entity.join_key for entity in entities} + join_keys = entity_name_to_join_key_map.values() for fv in fvs: - # Fields whose names match a join key are considered to be entity columns; all - # other fields are considered to be feature columns. - for field in fv.schema: - if field.name in all_join_keys: - # Do not override a preexisting field with the same name. - if field.name not in [ - entity_column.name for entity_column in fv.entity_columns - ]: - fv.entity_columns.append(field) - else: - if field.name not in [feature.name for feature in fv.features]: - fv.features.append(field) - - # Since the `value_type` parameter has not yet been fully deprecated for - # entities, we respect the `value_type` attribute if it still exists. - for entity_name in fv.entities: - entity = entity_name_to_entity_map[entity_name] - if ( - entity_name - not in [entity_column.name for entity_column in fv.entity_columns] - and entity.value_type != ValueType.UNKNOWN - ): - fv.entity_columns.append( - Field( - name=entity.join_key, dtype=from_value_type(entity.value_type), - ) - ) - - # Handle EFV separately here. Specifically, that means if we have an EFV, - # we need to add a field to entity_columns. - if len(fv.entities) == 1 and fv.entities[0] == DUMMY_ENTITY_NAME: - fv.entity_columns.append(Field(name=DUMMY_ENTITY_ID, dtype=String)) - - # Run inference if either (a) there are fewer entity fields than expected or - # (b) there are no feature fields. - run_inference = len(fv.features) == 0 - num_expected_join_keys = sum( - [ - len(entity_name_to_join_keys_map[entity_name]) - for entity_name in fv.entities - ] - ) - if len(fv.entity_columns) < num_expected_join_keys: - run_inference = True - - if run_inference: - join_keys = set( - [ - join_key - for entity_name in fv.entities - for join_key in entity_name_to_join_keys_map[entity_name] - ] - ) + # First drop all Entity fields. Then infer features if necessary. + fv.schema = [field for field in fv.schema if field.name not in join_keys] + fv.features = [field for field in fv.features if field.name not in join_keys] + if not fv.features: columns_to_exclude = { fv.batch_source.timestamp_field, fv.batch_source.created_timestamp_column, + } | { + entity_name_to_join_key_map[entity_name] for entity_name in fv.entities } - for column in columns_to_exclude: - if column in fv.batch_source.field_mapping: - columns_to_exclude.remove(column) - columns_to_exclude.add(fv.batch_source.field_mapping[column]) - table_column_names_and_types = fv.batch_source.get_table_column_names_and_types( - config - ) + if fv.batch_source.timestamp_field in fv.batch_source.field_mapping: + columns_to_exclude.add( + fv.batch_source.field_mapping[fv.batch_source.timestamp_field] + ) + if ( + fv.batch_source.created_timestamp_column + in fv.batch_source.field_mapping + ): + columns_to_exclude.add( + fv.batch_source.field_mapping[ + fv.batch_source.created_timestamp_column + ] + ) - for col_name, col_datatype in table_column_names_and_types: - if col_name in columns_to_exclude: - continue - elif col_name in join_keys: - field = Field( - name=col_name, - dtype=from_value_type( - fv.batch_source.source_datatype_to_feast_value_type()( - col_datatype - ) - ), - ) - if field.name not in [ - entity_column.name for entity_column in fv.entity_columns - ]: - fv.entity_columns.append(field) - elif not re.match( - "^__|__$", col_name - ): # double underscores often signal an internal-use column + for ( + col_name, + col_datatype, + ) in fv.batch_source.get_table_column_names_and_types(config): + if col_name not in columns_to_exclude and not re.match( + "^__|__$", + col_name, # double underscores often signal an internal-use column + ): feature_name = ( fv.batch_source.field_mapping[col_name] if col_name in fv.batch_source.field_mapping @@ -205,8 +204,10 @@ def update_feature_views_with_inferred_features_and_entities( ) ), ) - if field.name not in [feature.name for feature in fv.features]: - fv.features.append(field) + # Note that schema and features are two different attributes of a + # FeatureView, and that features should be present in both. + fv.schema.append(field) + fv.features.append(field) if not fv.features: raise RegistryInferenceFailure( diff --git a/sdk/python/feast/infra/offline_stores/file.py b/sdk/python/feast/infra/offline_stores/file.py index 7cc6dbd2837..2dea5714fae 100644 --- a/sdk/python/feast/infra/offline_stores/file.py +++ b/sdk/python/feast/infra/offline_stores/file.py @@ -200,9 +200,10 @@ def evaluate_historical_retrieval(): # Build a list of entity columns to join on (from the right table) join_keys = [] - for entity_column in feature_view.entity_columns: + for entity_name in feature_view.entities: + entity = registry.get_entity(entity_name, project) join_key = feature_view.projection.join_key_map.get( - entity_column.name, entity_column.name + entity.join_key, entity.join_key ) join_keys.append(join_key) diff --git a/sdk/python/feast/infra/offline_stores/offline_utils.py b/sdk/python/feast/infra/offline_stores/offline_utils.py index dad0ca5b781..b6c3d300d49 100644 --- a/sdk/python/feast/infra/offline_stores/offline_utils.py +++ b/sdk/python/feast/infra/offline_stores/offline_utils.py @@ -60,9 +60,11 @@ def get_expected_join_keys( ) -> Set[str]: join_keys = set() for feature_view in feature_views: - for entity_column in feature_view.entity_columns: + entities = feature_view.entities + for entity_name in entities: + entity = registry.get_entity(entity_name, project) join_key = feature_view.projection.join_key_map.get( - entity_column.name, entity_column.name + entity.join_key, entity.join_key ) join_keys.add(join_key) return join_keys @@ -112,14 +114,14 @@ def get_feature_view_query_context( query_context = [] for feature_view, features in feature_views_to_feature_map.items(): - join_keys: List[str] = [] - entity_selections: List[str] = [] - for entity_column in feature_view.entity_columns: + join_keys, entity_selections = [], [] + for entity_name in feature_view.entities: + entity = registry.get_entity(entity_name, project) join_key = feature_view.projection.join_key_map.get( - entity_column.name, entity_column.name + entity.join_key, entity.join_key ) join_keys.append(join_key) - entity_selections.append(f"{entity_column.name} AS {join_key}") + entity_selections.append(f"{entity.join_key} AS {join_key}") if isinstance(feature_view.ttl, timedelta): ttl_seconds = int(feature_view.ttl.total_seconds()) diff --git a/sdk/python/feast/infra/online_stores/redis.py b/sdk/python/feast/infra/online_stores/redis.py index 1a8eedb21e0..9ceceff0ac0 100644 --- a/sdk/python/feast/infra/online_stores/redis.py +++ b/sdk/python/feast/infra/online_stores/redis.py @@ -106,9 +106,9 @@ def update( (usually this happens when the last feature view that was using specific compound key is deleted) and remove all features attached to this "join_keys". """ - join_keys_to_keep = set(tuple(table.join_keys) for table in tables_to_keep) + join_keys_to_keep = set(tuple(table.entities) for table in tables_to_keep) - join_keys_to_delete = set(tuple(table.join_keys) for table in tables_to_delete) + join_keys_to_delete = set(tuple(table.entities) for table in tables_to_delete) for join_keys in join_keys_to_delete - join_keys_to_keep: self.delete_entity_values(config, list(join_keys)) @@ -122,7 +122,7 @@ def teardown( """ We delete the keys in redis for tables/views being removed. """ - join_keys_to_delete = set(tuple(table.join_keys) for table in tables) + join_keys_to_delete = set(tuple(table.entities) for table in tables) for join_keys in join_keys_to_delete: self.delete_entity_values(config, list(join_keys)) diff --git a/sdk/python/feast/infra/passthrough_provider.py b/sdk/python/feast/infra/passthrough_provider.py index b6635065078..0b6b798fe01 100644 --- a/sdk/python/feast/infra/passthrough_provider.py +++ b/sdk/python/feast/infra/passthrough_provider.py @@ -159,16 +159,11 @@ def materialize_single_feature_view( if feature_view.batch_source.field_mapping is not None: table = _run_field_mapping(table, feature_view.batch_source.field_mapping) - join_key_to_value_type = { - entity.name: entity.dtype.to_value_type() - for entity in feature_view.entity_columns - } + join_keys = {entity.join_key: entity.value_type for entity in entities} with tqdm_builder(table.num_rows) as pbar: for batch in table.to_batches(DEFAULT_BATCH_SIZE): - rows_to_write = _convert_arrow_to_proto( - batch, feature_view, join_key_to_value_type - ) + rows_to_write = _convert_arrow_to_proto(batch, feature_view, join_keys) self.online_write_batch( self.repo_config, feature_view, diff --git a/sdk/python/feast/infra/provider.py b/sdk/python/feast/infra/provider.py index cd82b7d416c..7754a58319c 100644 --- a/sdk/python/feast/infra/provider.py +++ b/sdk/python/feast/infra/provider.py @@ -390,7 +390,7 @@ def _convert_arrow_to_proto( table = table.to_batches()[0] columns = [ - (field.name, field.dtype.to_value_type()) for field in feature_view.features + (field.name, field.dtype.to_value_type()) for field in feature_view.schema ] + list(join_keys.items()) proto_values_by_column = { diff --git a/sdk/python/feast/on_demand_feature_view.py b/sdk/python/feast/on_demand_feature_view.py index 2d41de52914..d2cec18e520 100644 --- a/sdk/python/feast/on_demand_feature_view.py +++ b/sdk/python/feast/on_demand_feature_view.py @@ -647,7 +647,7 @@ def decorator(user_function): def feature_view_to_batch_feature_view(fv: FeatureView) -> BatchFeatureView: - bfv = BatchFeatureView( + return BatchFeatureView( name=fv.name, entities=fv.entities, ttl=fv.ttl, @@ -657,7 +657,3 @@ def feature_view_to_batch_feature_view(fv: FeatureView) -> BatchFeatureView: schema=fv.schema, source=fv.source, ) - - bfv.features = copy.copy(fv.features) - bfv.entities = copy.copy(fv.entities) - return bfv diff --git a/sdk/python/feast/templates/aws/driver_repo.py b/sdk/python/feast/templates/aws/driver_repo.py index a6f31f07b48..5188f57cf83 100644 --- a/sdk/python/feast/templates/aws/driver_repo.py +++ b/sdk/python/feast/templates/aws/driver_repo.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, RedshiftSource +from feast import Entity, FeatureView, Field, RedshiftSource, ValueType from feast.types import Float32, Int64 # Define an entity for the driver. Entities can be thought of as primary keys used to @@ -13,6 +13,8 @@ # features can be looked up. The join keys are also used to join feature # tables/views when building feature vectors join_keys=["driver_id"], + # The storage level type for an entity + value_type=ValueType.INT64, ) # Indicates a data source from which feature values can be retrieved. Sources are queried when building training @@ -39,7 +41,7 @@ # The list of entities specifies the keys required for joining or looking # up features from this feature view. The reference provided in this field # correspond to the name of a defined entity (or entities) - entities=[driver], + entities=["driver"], # The timedelta is the maximum age that each feature value may have # relative to its lookup time. For historical features (used in training), # TTL is relative to each timestamp provided in the entity dataframe. diff --git a/sdk/python/feast/templates/gcp/driver_repo.py b/sdk/python/feast/templates/gcp/driver_repo.py index b3bd868f145..7d137f996b6 100644 --- a/sdk/python/feast/templates/gcp/driver_repo.py +++ b/sdk/python/feast/templates/gcp/driver_repo.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import BigQuerySource, Entity, FeatureView, Field +from feast import BigQuerySource, Entity, FeatureView, Field, ValueType from feast.types import Float32, Int64 # Define an entity for the driver. Entities can be thought of as primary keys used to @@ -13,6 +13,8 @@ # features can be looked up. The join keys are also used to join feature # tables/views when building feature vectors join_keys=["driver_id"], + # The storage level type for an entity + value_type=ValueType.INT64, ) # Indicates a data source from which feature values can be retrieved. Sources are queried when building training @@ -37,7 +39,7 @@ # The list of entities specifies the keys required for joining or looking # up features from this feature view. The reference provided in this field # correspond to the name of a defined entity (or entities) - entities=[driver], + entities=["driver"], # The timedelta is the maximum age that each feature value may have # relative to its lookup time. For historical features (used in training), # TTL is relative to each timestamp provided in the entity dataframe. diff --git a/sdk/python/feast/templates/hbase/example.py b/sdk/python/feast/templates/hbase/example.py index b34696185b1..1d441e0e995 100644 --- a/sdk/python/feast/templates/hbase/example.py +++ b/sdk/python/feast/templates/hbase/example.py @@ -2,7 +2,7 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, FileSource +from feast import Entity, FeatureView, Field, FileSource, ValueType from feast.types import Float32, Int64 # Read data from parquet files. Parquet is convenient for local development mode. For @@ -16,7 +16,7 @@ # Define an entity for the driver. You can think of entity as a primary key used to # fetch features. -driver = Entity(name="driver", join_keys=["driver_id"]) +driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64,) # Our parquet files contain sample data that includes a driver_id column, timestamps and # three feature column. Here we define a Feature View that will allow us to serve this diff --git a/sdk/python/feast/templates/local/example.py b/sdk/python/feast/templates/local/example.py index 26821b8a93d..1d441e0e995 100644 --- a/sdk/python/feast/templates/local/example.py +++ b/sdk/python/feast/templates/local/example.py @@ -2,7 +2,7 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, FileSource +from feast import Entity, FeatureView, Field, FileSource, ValueType from feast.types import Float32, Int64 # Read data from parquet files. Parquet is convenient for local development mode. For @@ -16,14 +16,14 @@ # Define an entity for the driver. You can think of entity as a primary key used to # fetch features. -driver = Entity(name="driver", join_keys=["driver_id"]) +driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64,) # Our parquet files contain sample data that includes a driver_id column, timestamps and # three feature column. Here we define a Feature View that will allow us to serve this # data to our model online. driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=[driver], + entities=["driver"], ttl=timedelta(days=1), schema=[ Field(name="conv_rate", dtype=Float32), diff --git a/sdk/python/feast/templates/postgres/driver_repo.py b/sdk/python/feast/templates/postgres/driver_repo.py index 4096943bb73..34bc0022e23 100644 --- a/sdk/python/feast/templates/postgres/driver_repo.py +++ b/sdk/python/feast/templates/postgres/driver_repo.py @@ -18,7 +18,7 @@ driver_stats_fv = FeatureView( name="driver_hourly_stats", - entities=[driver], + entities=["driver_id"], ttl=timedelta(weeks=52), schema=[ Field(name="conv_rate", dtype=Float32), diff --git a/sdk/python/feast/templates/snowflake/driver_repo.py b/sdk/python/feast/templates/snowflake/driver_repo.py index 873e2b163e7..ecccb9863bc 100644 --- a/sdk/python/feast/templates/snowflake/driver_repo.py +++ b/sdk/python/feast/templates/snowflake/driver_repo.py @@ -43,7 +43,7 @@ # The list of entities specifies the keys required for joining or looking # up features from this feature view. The reference provided in this field # correspond to the name of a defined entity (or entities) - entities=[driver], + entities=["driver"], # The timedelta is the maximum age that each feature value may have # relative to its lookup time. For historical features (used in training), # TTL is relative to each timestamp provided in the entity dataframe. diff --git a/sdk/python/feast/templates/spark/example.py b/sdk/python/feast/templates/spark/example.py index 41f86ef3c1f..58f3df740f3 100644 --- a/sdk/python/feast/templates/spark/example.py +++ b/sdk/python/feast/templates/spark/example.py @@ -5,7 +5,7 @@ from datetime import timedelta from pathlib import Path -from feast import Entity, FeatureView, Field +from feast import Entity, FeatureView, Field, ValueType from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import ( SparkSource, ) @@ -16,8 +16,10 @@ # Entity definitions -driver = Entity(name="driver", description="driver id",) -customer = Entity(name="customer", description="customer id",) +driver = Entity(name="driver", value_type=ValueType.INT64, description="driver id",) +customer = Entity( + name="customer", value_type=ValueType.INT64, description="customer id", +) # Sources driver_hourly_stats = SparkSource( @@ -38,7 +40,7 @@ # Feature Views driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=[driver], + entities=["driver"], ttl=timedelta(days=7), schema=[ Field(name="conv_rate", dtype=Float32), @@ -51,7 +53,7 @@ ) customer_daily_profile_view = FeatureView( name="customer_daily_profile", - entities=[customer], + entities=["customer"], ttl=timedelta(days=7), schema=[ Field(name="current_balance", dtype=Float32), diff --git a/sdk/python/tests/data/data_creator.py b/sdk/python/tests/data/data_creator.py index 186c39b9ef4..e08597b67b2 100644 --- a/sdk/python/tests/data/data_creator.py +++ b/sdk/python/tests/data/data_creator.py @@ -4,11 +4,11 @@ import pandas as pd from pytz import timezone, utc -from feast.types import FeastType, Float32, Int32, Int64, String +from feast.value_type import ValueType def create_dataset( - entity_type: FeastType = Int32, + entity_type: ValueType = ValueType.INT32, feature_dtype: str = None, feature_is_list: bool = False, list_has_empty_list: bool = False, @@ -16,7 +16,7 @@ def create_dataset( now = datetime.utcnow().replace(microsecond=0, second=0, minute=0) ts = pd.Timestamp(now).round("ms") data = { - "driver_id": get_entities_for_feast_type(entity_type), + "driver_id": get_entities_for_value_type(entity_type), "value": get_feature_values_for_dtype( feature_dtype, feature_is_list, list_has_empty_list ), @@ -37,14 +37,14 @@ def create_dataset( return pd.DataFrame.from_dict(data) -def get_entities_for_feast_type(feast_type: FeastType) -> List: - feast_type_map: Dict[FeastType, List] = { - Int32: [1, 2, 1, 3, 3], - Int64: [1, 2, 1, 3, 3], - Float32: [1.0, 2.0, 1.0, 3.0, 3.0], - String: ["1", "2", "1", "3", "3"], +def get_entities_for_value_type(value_type: ValueType) -> List: + value_type_map: Dict[ValueType, List] = { + ValueType.INT32: [1, 2, 1, 3, 3], + ValueType.INT64: [1, 2, 1, 3, 3], + ValueType.FLOAT: [1.0, 2.0, 1.0, 3.0, 3.0], + ValueType.STRING: ["1", "2", "1", "3", "3"], } - return feast_type_map[feast_type] + return value_type_map[value_type] def get_feature_values_for_dtype( diff --git a/sdk/python/tests/doctest/test_all.py b/sdk/python/tests/doctest/test_all.py index 31f181ad535..65d5f3da289 100644 --- a/sdk/python/tests/doctest/test_all.py +++ b/sdk/python/tests/doctest/test_all.py @@ -11,13 +11,15 @@ def setup_feature_store(): """Prepares the local environment for a FeatureStore docstring test.""" from datetime import datetime, timedelta - from feast import Entity, FeatureStore, FeatureView, Field, FileSource + from feast import Entity, FeatureStore, FeatureView, Field, FileSource, ValueType from feast.repo_operations import init_repo from feast.types import Float32, Int64 init_repo("feature_repo", "local") fs = FeatureStore(repo_path="feature_repo") - driver = Entity(name="driver_id", description="driver id",) + driver = Entity( + name="driver_id", value_type=ValueType.INT64, description="driver id", + ) driver_hourly_stats = FileSource( path="feature_repo/data/driver_stats.parquet", timestamp_field="event_timestamp", @@ -25,7 +27,7 @@ def setup_feature_store(): ) driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=[driver], + entities=["driver_id"], ttl=timedelta(seconds=86400 * 1), schema=[ Field(name="conv_rate", dtype=Float32), diff --git a/sdk/python/tests/example_repos/example_feature_repo_1.py b/sdk/python/tests/example_repos/example_feature_repo_1.py index 8d6d96d9ef1..d8b6d7c89b1 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_1.py +++ b/sdk/python/tests/example_repos/example_feature_repo_1.py @@ -1,6 +1,14 @@ from datetime import timedelta -from feast import BigQuerySource, Entity, FeatureService, FeatureView, Field, PushSource +from feast import ( + BigQuerySource, + Entity, + FeatureService, + FeatureView, + Field, + PushSource, + ValueType, +) from feast.types import Float32, Int64, String driver_locations_source = BigQuerySource( @@ -38,24 +46,22 @@ driver = Entity( name="driver", # The name is derived from this argument, not object name. join_keys=["driver_id"], + value_type=ValueType.INT64, description="driver id", ) customer = Entity( name="customer", # The name is derived from this argument, not object name. join_keys=["customer_id"], + value_type=ValueType.STRING, ) driver_locations = FeatureView( name="driver_locations", - entities=[driver], + entities=["driver"], ttl=timedelta(days=1), - schema=[ - Field(name="lat", dtype=Float32), - Field(name="lon", dtype=String), - Field(name="driver_id", dtype=Int64), - ], + schema=[Field(name="lat", dtype=Float32), Field(name="lon", dtype=String)], online=True, batch_source=driver_locations_source, tags={}, @@ -63,12 +69,11 @@ pushed_driver_locations = FeatureView( name="pushed_driver_locations", - entities=[driver], + entities=["driver"], ttl=timedelta(days=1), schema=[ Field(name="driver_lat", dtype=Float32), Field(name="driver_long", dtype=String), - Field(name="driver_id", dtype=Int64), ], online=True, stream_source=driver_locations_push_source, @@ -77,13 +82,12 @@ customer_profile = FeatureView( name="customer_profile", - entities=[customer], + entities=["customer"], ttl=timedelta(days=1), schema=[ Field(name="avg_orders_day", dtype=Float32), Field(name="name", dtype=String), Field(name="age", dtype=Int64), - Field(name="customer_id", dtype=String), ], online=True, batch_source=customer_profile_source, @@ -92,13 +96,9 @@ customer_driver_combined = FeatureView( name="customer_driver_combined", - entities=[customer, driver], + entities=["customer", "driver"], ttl=timedelta(days=1), - schema=[ - Field(name="trips", dtype=Int64), - Field(name="driver_id", dtype=Int64), - Field(name="customer_id", dtype=String), - ], + schema=[Field(name="trips", dtype=Int64)], online=True, batch_source=customer_driver_combined_source, tags={}, diff --git a/sdk/python/tests/example_repos/example_feature_repo_2.py b/sdk/python/tests/example_repos/example_feature_repo_2.py index 75e99aa4b9c..1ca7cc3805c 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_2.py +++ b/sdk/python/tests/example_repos/example_feature_repo_2.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, FileSource +from feast import Entity, FeatureView, Field, FileSource, ValueType from feast.types import Float32, Int32, Int64 driver_hourly_stats = FileSource( @@ -9,18 +9,17 @@ created_timestamp_column="created", ) -driver = Entity(name="driver_id", description="driver id",) +driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id",) driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=[driver], + entities=["driver_id"], ttl=timedelta(days=1), schema=[ Field(name="conv_rate", dtype=Float32), Field(name="acc_rate", dtype=Float32), Field(name="avg_daily_trips", dtype=Int64), - Field(name="driver_id", dtype=Int32), ], online=True, batch_source=driver_hourly_stats, diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py b/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py index 4b079999ed7..cbcc3ad172b 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py +++ b/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py @@ -1,16 +1,14 @@ from datetime import timedelta -from feast import Entity, FeatureView, FileSource +from feast import FeatureView, FileSource driver_hourly_stats = FileSource( path="driver_stats.parquet", # this parquet is not real and will not be read ) -driver = Entity(name="driver_id", description="driver id", join_keys=["driver"],) - driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", # Intentionally use the same FeatureView name - entities=[driver], + entities=["driver_id"], online=False, source=driver_hourly_stats, ttl=timedelta(days=1), @@ -19,7 +17,7 @@ driver_hourly_stats_view_dup1 = FeatureView( name="driver_hourly_stats", # Intentionally use the same FeatureView name - entities=[driver], + entities=["driver_id"], online=False, source=driver_hourly_stats, ttl=timedelta(days=1), diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py index 4bc0923e195..ba18cf84bae 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py +++ b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, FileSource +from feast import Entity, FeatureView, Field, FileSource, ValueType from feast.types import Float32, Int64 driver_hourly_stats = FileSource( @@ -11,12 +11,17 @@ # The join key here is deliberately different from the parquet file to test the failure path. -driver = Entity(name="driver_id", description="driver id", join_keys=["driver"],) +driver = Entity( + name="driver_id", + value_type=ValueType.INT64, + description="driver id", + join_keys=["driver"], +) driver_hourly_stats_view = FeatureView( name="driver_hourly_stats", - entities=[driver], + entities=["driver_id"], ttl=timedelta(days=1), schema=[ Field(name="conv_rate", dtype=Float32), diff --git a/sdk/python/tests/integration/e2e/test_usage_e2e.py b/sdk/python/tests/integration/e2e/test_usage_e2e.py index 53e4a32a82e..12c1eb86281 100644 --- a/sdk/python/tests/integration/e2e/test_usage_e2e.py +++ b/sdk/python/tests/integration/e2e/test_usage_e2e.py @@ -19,7 +19,7 @@ import pytest -from feast import Entity, RepoConfig +from feast import Entity, RepoConfig, ValueType from feast.infra.online_stores.sqlite import SqliteOnlineStoreConfig @@ -60,6 +60,7 @@ def test_usage_on(dummy_exporter, enabling_toggle): entity = Entity( name="driver_car_id", description="Car driver id", + value_type=ValueType.STRING, tags={"team": "matchmaking"}, ) @@ -98,6 +99,7 @@ def test_usage_off(dummy_exporter, enabling_toggle): entity = Entity( name="driver_car_id", description="Car driver id", + value_type=ValueType.STRING, tags={"team": "matchmaking"}, ) test_feature_store.apply([entity]) diff --git a/sdk/python/tests/integration/feature_repos/universal/entities.py b/sdk/python/tests/integration/feature_repos/universal/entities.py index 66989b06468..b7a7583f1b3 100644 --- a/sdk/python/tests/integration/feature_repos/universal/entities.py +++ b/sdk/python/tests/integration/feature_repos/universal/entities.py @@ -1,21 +1,22 @@ -from feast import Entity +from feast import Entity, ValueType -def driver(): +def driver(value_type: ValueType = ValueType.INT64): return Entity( name="driver", # The name is derived from this argument, not object name. + value_type=value_type, description="driver id", join_keys=["driver_id"], ) def customer(): - return Entity(name="customer_id") + return Entity(name="customer_id", value_type=ValueType.INT64) def location(): - return Entity(name="location_id") + return Entity(name="location_id", value_type=ValueType.INT64) def item(): - return Entity(name="item_id") + return Entity(name="item_id", value_type=ValueType.INT64) diff --git a/sdk/python/tests/integration/feature_repos/universal/feature_views.py b/sdk/python/tests/integration/feature_repos/universal/feature_views.py index b93ad987fa4..26c2513995f 100644 --- a/sdk/python/tests/integration/feature_repos/universal/feature_views.py +++ b/sdk/python/tests/integration/feature_repos/universal/feature_views.py @@ -14,13 +14,8 @@ ValueType, ) from feast.data_source import DataSource, RequestSource -from feast.types import Array, FeastType, Float32, Float64, Int32, Int64 -from tests.integration.feature_repos.universal.entities import ( - customer, - driver, - item, - location, -) +from feast.types import Array, FeastType, Float32, Float64, Int32 +from tests.integration.feature_repos.universal.entities import location def driver_feature_view( @@ -28,14 +23,11 @@ def driver_feature_view( name="test_correctness", infer_features: bool = False, dtype: FeastType = Float32, - entity_type: FeastType = Int64, ) -> FeatureView: - d = driver() return FeatureView( name=name, - entities=[d], - schema=[Field(name=d.join_key, dtype=entity_type)] - + ([] if infer_features else [Field(name="value", dtype=dtype)]), + entities=["driver"], + schema=None if infer_features else [Field(name="value", dtype=dtype)], ttl=timedelta(days=5), source=data_source, ) @@ -146,7 +138,7 @@ def create_similarity_request_source(): def create_item_embeddings_feature_view(source, infer_features: bool = False): item_embeddings_feature_view = FeatureView( name="item_embeddings", - entities=[item()], + entities=["item"], schema=None if infer_features else [ @@ -164,7 +156,7 @@ def create_item_embeddings_batch_feature_view( ) -> BatchFeatureView: item_embeddings_feature_view = BatchFeatureView( name="item_embeddings", - entities=[item()], + entities=["item"], schema=None if infer_features else [ @@ -178,19 +170,15 @@ def create_item_embeddings_batch_feature_view( def create_driver_hourly_stats_feature_view(source, infer_features: bool = False): - # TODO(felixwang9817): Figure out why not adding an entity field here - # breaks type tests. - d = driver() driver_stats_feature_view = FeatureView( name="driver_stats", - entities=[d], + entities=["driver"], schema=None if infer_features else [ Field(name="conv_rate", dtype=Float32), Field(name="acc_rate", dtype=Float32), Field(name="avg_daily_trips", dtype=Int32), - Field(name=d.join_key, dtype=Int64), ], source=source, ttl=timedelta(hours=2), @@ -203,7 +191,7 @@ def create_driver_hourly_stats_batch_feature_view( ) -> BatchFeatureView: driver_stats_feature_view = BatchFeatureView( name="driver_stats", - entities=[driver()], + entities=["driver"], schema=None if infer_features else [ @@ -220,7 +208,7 @@ def create_driver_hourly_stats_batch_feature_view( def create_customer_daily_profile_feature_view(source, infer_features: bool = False): customer_profile_feature_view = FeatureView( name="customer_profile", - entities=[customer()], + entities=["customer_id"], schema=None if infer_features else [ @@ -254,13 +242,10 @@ def create_global_stats_feature_view(source, infer_features: bool = False): def create_order_feature_view(source, infer_features: bool = False): return FeatureView( name="order", - entities=[customer(), driver()], + entities=["driver", "customer_id"], schema=None if infer_features - else [ - Field(name="order_is_success", dtype=Int32), - Field(name="driver_id", dtype=Int64), - ], + else [Field(name="order_is_success", dtype=Int32)], source=source, ttl=timedelta(days=2), ) @@ -270,12 +255,7 @@ def create_location_stats_feature_view(source, infer_features: bool = False): location_stats_feature_view = FeatureView( name="location_stats", entities=[location()], - schema=None - if infer_features - else [ - Field(name="temperature", dtype=Int32), - Field(name="location_id", dtype=Int64), - ], + schema=None if infer_features else [Field(name="temperature", dtype=Int32)], source=source, ttl=timedelta(days=2), ) @@ -299,11 +279,9 @@ def create_pushable_feature_view(batch_source: DataSource): ) return FeatureView( name="pushable_location_stats", - entities=[location()], - schema=[ - Field(name="temperature", dtype=Int32), - Field(name="location_id", dtype=Int64), - ], + entities=["location_id"], + # Test that Features still work for FeatureViews. + features=[Feature(name="temperature", dtype=ValueType.INT32)], ttl=timedelta(days=2), source=push_source, ) diff --git a/sdk/python/tests/integration/offline_store/test_feature_logging.py b/sdk/python/tests/integration/offline_store/test_feature_logging.py index 8e6be052c84..6dda2e63a9d 100644 --- a/sdk/python/tests/integration/offline_store/test_feature_logging.py +++ b/sdk/python/tests/integration/offline_store/test_feature_logging.py @@ -26,11 +26,7 @@ UniversalDatasets, construct_universal_feature_views, ) -from tests.integration.feature_repos.universal.entities import ( - customer, - driver, - location, -) +from tests.integration.feature_repos.universal.entities import driver from tests.integration.feature_repos.universal.feature_views import conv_rate_plus_100 @@ -43,7 +39,7 @@ def test_feature_service_logging(environment, universal_data_sources, pass_as_pa (_, datasets, data_sources) = universal_data_sources feature_views = construct_universal_feature_views(data_sources) - store.apply([customer(), driver(), location(), *feature_views.values()]) + store.apply([driver(), *feature_views.values()]) logs_df = prepare_logs(datasets) diff --git a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py index c99d19b0964..b62f7cda243 100644 --- a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py +++ b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py @@ -22,6 +22,7 @@ DEFAULT_ENTITY_DF_EVENT_TIMESTAMP_COL, ) from feast.types import Int32 +from feast.value_type import ValueType from tests.integration.feature_repos.repo_configuration import ( construct_universal_feature_views, table_name_from_data_source, @@ -688,10 +689,10 @@ def test_historical_features_from_bigquery_sources_containing_backfills(environm created_timestamp_column="created", ) - driver = Entity(name="driver", join_keys=["driver_id"]) + driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64) driver_fv = FeatureView( name="driver_stats", - entities=[driver], + entities=["driver"], schema=[Field(name="avg_daily_trips", dtype=Int32)], batch_source=driver_stats_data_source, ttl=None, diff --git a/sdk/python/tests/integration/online_store/test_universal_online.py b/sdk/python/tests/integration/online_store/test_universal_online.py index 2af5fe543d4..f4440dbfbcf 100644 --- a/sdk/python/tests/integration/online_store/test_universal_online.py +++ b/sdk/python/tests/integration/online_store/test_universal_online.py @@ -13,7 +13,7 @@ import requests from botocore.exceptions import BotoCoreError -from feast import Entity, FeatureService, FeatureView, Field +from feast import Entity, FeatureService, FeatureView, Field, ValueType from feast.errors import ( FeatureNameCollisionError, RequestDataNotFoundInEntityRowsException, @@ -115,13 +115,13 @@ def test_write_to_online_store_event_check(local_redis_environment): } dataframe_source = pd.DataFrame(data) with prep_file_source(df=dataframe_source, timestamp_field="ts_1") as file_source: - e = Entity(name="id") + e = Entity(name="id", value_type=ValueType.STRING) # Create Feature View fv1 = FeatureView( name="feature_view_123", schema=[Field(name="string_col", dtype=String)], - entities=[e], + entities=["id"], batch_source=file_source, ttl=timedelta(minutes=5), ) diff --git a/sdk/python/tests/integration/registration/test_feature_store.py b/sdk/python/tests/integration/registration/test_feature_store.py index 88a4b9f2491..db4c6700cec 100644 --- a/sdk/python/tests/integration/registration/test_feature_store.py +++ b/sdk/python/tests/integration/registration/test_feature_store.py @@ -27,8 +27,10 @@ from feast.infra.offline_stores.file import FileOfflineStoreConfig from feast.infra.online_stores.dynamodb import DynamoDBOnlineStoreConfig from feast.infra.online_stores.sqlite import SqliteOnlineStoreConfig +from feast.protos.feast.types import Value_pb2 as ValueProto from feast.repo_config import RepoConfig from feast.types import Array, Bytes, Float64, Int64, String +from feast.value_type import ValueType from tests.utils.data_source_utils import ( prep_file_source, simple_bq_source_using_query_arg, @@ -91,7 +93,10 @@ def feature_store_with_s3_registry(): ) def test_apply_entity_success(test_feature_store): entity = Entity( - name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, + name="driver_car_id", + description="Car driver id", + value_type=ValueType.STRING, + tags={"team": "matchmaking"}, ) # Register Entity @@ -103,6 +108,7 @@ def test_apply_entity_success(test_feature_store): assert ( len(entities) == 1 and entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -121,7 +127,10 @@ def test_apply_entity_success(test_feature_store): ) def test_apply_entity_integration(test_feature_store): entity = Entity( - name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, + name="driver_car_id", + description="Car driver id", + value_type=ValueType.STRING, + tags={"team": "matchmaking"}, ) # Register Entity @@ -133,6 +142,7 @@ def test_apply_entity_integration(test_feature_store): assert ( len(entities) == 1 and entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -141,6 +151,7 @@ def test_apply_entity_integration(test_feature_store): entity = test_feature_store.get_entity("driver_car_id") assert ( entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -162,8 +173,6 @@ def test_apply_feature_view_success(test_feature_store): date_partition_column="date_partition_col", ) - entity = Entity(name="fs1_my_entity_1", join_keys=["entity_id"]) - fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -171,16 +180,15 @@ def test_apply_feature_view_success(test_feature_store): Field(name="fs1_my_feature_2", dtype=String), Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), - Field(name="entity_id", dtype=Int64), ], - entities=[entity], + entities=["fs1_my_entity_1"], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), ) # Register Feature View - test_feature_store.apply([entity, fv1]) + test_feature_store.apply([fv1]) feature_views = test_feature_store.list_feature_views() @@ -209,11 +217,13 @@ def test_apply_feature_view_success(test_feature_store): @pytest.mark.parametrize("dataframe_source", [lazy_fixture("simple_dataset_1")]) def test_feature_view_inference_success(test_feature_store, dataframe_source): with prep_file_source(df=dataframe_source, timestamp_field="ts_1") as file_source: - entity = Entity(name="id", join_keys=["id_join_key"]) + entity = Entity( + name="id", join_keys=["id_join_key"], value_type=ValueType.INT64 + ) fv1 = FeatureView( name="fv1", - entities=[entity], + entities=["id"], ttl=timedelta(minutes=5), online=True, batch_source=file_source, @@ -222,7 +232,7 @@ def test_feature_view_inference_success(test_feature_store, dataframe_source): fv2 = FeatureView( name="fv2", - entities=[entity], + entities=["id"], ttl=timedelta(minutes=5), online=True, batch_source=simple_bq_source_using_table_arg(dataframe_source, "ts_1"), @@ -231,7 +241,7 @@ def test_feature_view_inference_success(test_feature_store, dataframe_source): fv3 = FeatureView( name="fv3", - entities=[entity], + entities=["id"], ttl=timedelta(minutes=5), online=True, batch_source=simple_bq_source_using_query_arg(dataframe_source, "ts_1"), @@ -286,8 +296,6 @@ def test_apply_feature_view_integration(test_feature_store): date_partition_column="date_partition_col", ) - entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) - fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -295,16 +303,15 @@ def test_apply_feature_view_integration(test_feature_store): Field(name="fs1_my_feature_2", dtype=String), Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), - Field(name="test", dtype=Int64), ], - entities=[entity], + entities=["fs1_my_entity_1"], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), ) # Register Feature View - test_feature_store.apply([fv1, entity]) + test_feature_store.apply([fv1]) feature_views = test_feature_store.list_feature_views() @@ -357,9 +364,13 @@ def test_apply_object_and_read(test_feature_store): created_timestamp_column="timestamp", ) - e1 = Entity(name="fs1_my_entity_1", description="something") + e1 = Entity( + name="fs1_my_entity_1", value_type=ValueType.STRING, description="something" + ) - e2 = Entity(name="fs1_my_entity_2", description="something") + e2 = Entity( + name="fs1_my_entity_2", value_type=ValueType.STRING, description="something" + ) fv1 = FeatureView( name="my_feature_view_1", @@ -368,9 +379,8 @@ def test_apply_object_and_read(test_feature_store): Field(name="fs1_my_feature_2", dtype=String), Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), - Field(name="fs1_my_entity_1", dtype=Int64), ], - entities=[e1], + entities=["fs1_my_entity_1"], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -383,9 +393,8 @@ def test_apply_object_and_read(test_feature_store): Field(name="fs1_my_feature_2", dtype=String), Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), - Field(name="fs1_my_entity_2", dtype=Int64), ], - entities=[e2], + entities=["fs1_my_entity_1"], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -397,6 +406,7 @@ def test_apply_object_and_read(test_feature_store): fv1_actual = test_feature_store.get_feature_view("my_feature_view_1") e1_actual = test_feature_store.get_entity("fs1_my_entity_1") + assert fv1 == fv1_actual assert e1 == e1_actual assert fv2 != fv1_actual assert e2 != e1_actual @@ -424,13 +434,13 @@ def test_apply_remote_repo(): def test_reapply_feature_view_success(test_feature_store, dataframe_source): with prep_file_source(df=dataframe_source, timestamp_field="ts_1") as file_source: - e = Entity(name="id", join_keys=["id_join_key"]) + e = Entity(name="id", join_keys=["id_join_key"], value_type=ValueType.STRING) # Create Feature View fv1 = FeatureView( name="my_feature_view_1", schema=[Field(name="string_col", dtype=String)], - entities=[e], + entities=["id"], batch_source=file_source, ttl=timedelta(minutes=5), ) @@ -460,7 +470,7 @@ def test_reapply_feature_view_success(test_feature_store, dataframe_source): fv1 = FeatureView( name="my_feature_view_1", schema=[Field(name="int64_col", dtype=Int64)], - entities=[e], + entities=["id"], batch_source=file_source, ttl=timedelta(minutes=5), ) @@ -475,12 +485,10 @@ def test_reapply_feature_view_success(test_feature_store, dataframe_source): def test_apply_conflicting_featureview_names(feature_store_with_local_registry): """Test applying feature views with non-case-insensitively unique names""" - driver = Entity(name="driver", join_keys=["driver_id"]) - customer = Entity(name="customer", join_keys=["customer_id"]) driver_stats = FeatureView( name="driver_hourly_stats", - entities=[driver], + entities=["driver_id"], ttl=timedelta(seconds=10), online=False, batch_source=FileSource(path="driver_stats.parquet"), @@ -489,7 +497,7 @@ def test_apply_conflicting_featureview_names(feature_store_with_local_registry): customer_stats = FeatureView( name="DRIVER_HOURLY_STATS", - entities=[customer], + entities=["id"], ttl=timedelta(seconds=10), online=False, batch_source=FileSource(path="customer_stats.parquet"), diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py index aab79af7091..8b719eb733d 100644 --- a/sdk/python/tests/integration/registration/test_inference.py +++ b/sdk/python/tests/integration/registration/test_inference.py @@ -23,7 +23,8 @@ from feast.field import Field from feast.inference import ( update_data_sources_with_inferred_event_timestamp_col, - update_feature_views_with_inferred_features_and_entities, + update_entities_with_inferred_types_from_feature_views, + update_feature_views_with_inferred_features, ) from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import ( SparkSource, @@ -37,6 +38,47 @@ ) +def test_update_entities_with_inferred_types_from_feature_views( + simple_dataset_1, simple_dataset_2 +): + with prep_file_source( + df=simple_dataset_1, timestamp_field="ts_1" + ) as file_source, prep_file_source( + df=simple_dataset_2, timestamp_field="ts_1" + ) as file_source_2: + + fv1 = FeatureView( + name="fv1", entities=["id"], batch_source=file_source, ttl=None, + ) + fv2 = FeatureView( + name="fv2", entities=["id"], batch_source=file_source_2, ttl=None, + ) + + actual_1 = Entity(name="id", join_keys=["id_join_key"]) + actual_2 = Entity(name="id", join_keys=["id_join_key"]) + + update_entities_with_inferred_types_from_feature_views( + [actual_1], [fv1], RepoConfig(provider="local", project="test") + ) + update_entities_with_inferred_types_from_feature_views( + [actual_2], [fv2], RepoConfig(provider="local", project="test") + ) + assert actual_1 == Entity( + name="id", join_keys=["id_join_key"], value_type=ValueType.INT64 + ) + assert actual_2 == Entity( + name="id", join_keys=["id_join_key"], value_type=ValueType.STRING + ) + + with pytest.raises(RegistryInferenceFailure): + # two viable data types + update_entities_with_inferred_types_from_feature_views( + [Entity(name="id", join_keys=["id_join_key"])], + [fv1, fv2], + RepoConfig(provider="local", project="test"), + ) + + def test_infer_datasource_names_file(): file_path = "path/to/test.csv" data_source = FileSource(path=file_path) @@ -245,7 +287,7 @@ def test_view_with_missing_feature(features_df: pd.DataFrame) -> pd.DataFrame: test_view_with_missing_feature.infer_features() -def test_update_feature_views_with_inferred_features_and_entities(): +def test_update_feature_views_with_inferred_features(): file_source = FileSource(name="test", path="test path") entity1 = Entity(name="test1", join_keys=["test_column_1"]) entity2 = Entity(name="test2", join_keys=["test_column_2"]) @@ -270,26 +312,23 @@ def test_update_feature_views_with_inferred_features_and_entities(): ) assert len(feature_view_1.schema) == 2 - assert len(feature_view_1.features) == 1 + assert len(feature_view_1.features) == 2 # The entity field should be deleted from the schema and features of the feature view. - update_feature_views_with_inferred_features_and_entities( + update_feature_views_with_inferred_features( [feature_view_1], [entity1], RepoConfig(provider="local", project="test") ) - assert len(feature_view_1.schema) == 2 + assert len(feature_view_1.schema) == 1 assert len(feature_view_1.features) == 1 assert len(feature_view_2.schema) == 3 - assert len(feature_view_2.features) == 1 + assert len(feature_view_2.features) == 3 # The entity fields should be deleted from the schema and features of the feature view. - update_feature_views_with_inferred_features_and_entities( + update_feature_views_with_inferred_features( [feature_view_2], [entity1, entity2], RepoConfig(provider="local", project="test"), ) - assert len(feature_view_2.schema) == 3 + assert len(feature_view_2.schema) == 1 assert len(feature_view_2.features) == 1 - - -# TODO(felixwang9817): Add tests that interact with field mapping. diff --git a/sdk/python/tests/integration/registration/test_registry.py b/sdk/python/tests/integration/registration/test_registry.py index dde31ac9e0e..f011d73d2dd 100644 --- a/sdk/python/tests/integration/registration/test_registry.py +++ b/sdk/python/tests/integration/registration/test_registry.py @@ -26,6 +26,7 @@ from feast.feature_view import FeatureView from feast.field import Field from feast.on_demand_feature_view import RequestSource, on_demand_feature_view +from feast.protos.feast.types import Value_pb2 as ValueProto from feast.registry import Registry from feast.repo_config import RegistryConfig from feast.types import Array, Bytes, Float32, Int32, Int64, String @@ -72,7 +73,10 @@ def s3_registry() -> Registry: ) def test_apply_entity_success(test_registry): entity = Entity( - name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, + name="driver_car_id", + description="Car driver id", + value_type=ValueType.STRING, + tags={"team": "matchmaking"}, ) project = "project" @@ -86,6 +90,7 @@ def test_apply_entity_success(test_registry): assert ( len(entities) == 1 and entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -94,6 +99,7 @@ def test_apply_entity_success(test_registry): entity = test_registry.get_entity("driver_car_id", project) assert ( entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -116,7 +122,10 @@ def test_apply_entity_success(test_registry): ) def test_apply_entity_integration(test_registry): entity = Entity( - name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, + name="driver_car_id", + description="Car driver id", + value_type=ValueType.STRING, + tags={"team": "matchmaking"}, ) project = "project" @@ -130,6 +139,7 @@ def test_apply_entity_integration(test_registry): assert ( len(entities) == 1 and entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -138,6 +148,7 @@ def test_apply_entity_integration(test_registry): entity = test_registry.get_entity("driver_car_id", project) assert ( entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -162,8 +173,6 @@ def test_apply_feature_view_success(test_registry): created_timestamp_column="timestamp", ) - entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) - fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -172,7 +181,7 @@ def test_apply_feature_view_success(test_registry): Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), ], - entities=[entity], + entities=["fs1_my_entity_1"], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -244,12 +253,10 @@ def test_modify_feature_views_success(test_registry, request_source_schema): request_source = RequestSource(name="request_source", schema=request_source_schema,) - entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) - fv1 = FeatureView( name="my_feature_view_1", schema=[Field(name="fs1_my_feature_1", dtype=Int64)], - entities=[entity], + entities=["fs1_my_entity_1"], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -362,8 +369,6 @@ def test_apply_feature_view_integration(test_registry): created_timestamp_column="timestamp", ) - entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) - fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -372,7 +377,7 @@ def test_apply_feature_view_integration(test_registry): Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), ], - entities=[entity], + entities=["fs1_my_entity_1"], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -439,8 +444,6 @@ def test_apply_data_source(test_registry: Registry): created_timestamp_column="timestamp", ) - entity = Entity(name="fs1_my_entity_1", join_keys=["test"]) - fv1 = FeatureView( name="my_feature_view_1", schema=[ @@ -449,7 +452,7 @@ def test_apply_data_source(test_registry: Registry): Field(name="fs1_my_feature_3", dtype=Array(String)), Field(name="fs1_my_feature_4", dtype=Array(Bytes)), ], - entities=[entity], + entities=["fs1_my_entity_1"], tags={"team": "matchmaking"}, batch_source=batch_source, ttl=timedelta(minutes=5), @@ -496,7 +499,10 @@ def test_commit(): test_registry = Registry(registry_config, None) entity = Entity( - name="driver_car_id", description="Car driver id", tags={"team": "matchmaking"}, + name="driver_car_id", + description="Car driver id", + value_type=ValueType.STRING, + tags={"team": "matchmaking"}, ) project = "project" @@ -511,6 +517,7 @@ def test_commit(): assert ( len(entities) == 1 and entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -519,6 +526,7 @@ def test_commit(): entity = test_registry.get_entity("driver_car_id", project, allow_cache=True) assert ( entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -544,6 +552,7 @@ def test_commit(): assert ( len(entities) == 1 and entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" @@ -552,6 +561,7 @@ def test_commit(): entity = test_registry.get_entity("driver_car_id", project) assert ( entity.name == "driver_car_id" + and entity.value_type == ValueType(ValueProto.ValueType.STRING) and entity.description == "Car driver id" and "team" in entity.tags and entity.tags["team"] == "matchmaking" diff --git a/sdk/python/tests/integration/registration/test_universal_types.py b/sdk/python/tests/integration/registration/test_universal_types.py index cfb0393d2f2..81fa0200fdd 100644 --- a/sdk/python/tests/integration/registration/test_universal_types.py +++ b/sdk/python/tests/integration/registration/test_universal_types.py @@ -9,17 +9,8 @@ import pytest from feast.infra.offline_stores.offline_store import RetrievalJob -from feast.types import ( - Array, - Bool, - FeastType, - Float32, - Float64, - Int32, - Int64, - String, - UnixTimestamp, -) +from feast.types import Array, Bool, Float32, Int32, Int64, UnixTimestamp +from feast.value_type import ValueType from tests.data.data_creator import create_dataset from tests.integration.feature_repos.repo_configuration import ( FULL_REPO_CONFIGS, @@ -35,11 +26,11 @@ def populate_test_configs(offline: bool): entity_type_feature_dtypes = [ - (Int32, "int32"), - (Int64, "int64"), - (String, "float"), - (String, "bool"), - (Int32, "datetime"), + (ValueType.INT32, "int32"), + (ValueType.INT64, "int64"), + (ValueType.STRING, "float"), + (ValueType.STRING, "bool"), + (ValueType.INT32, "datetime"), ] configs: List[TypeTestConfig] = [] for test_repo_config in FULL_REPO_CONFIGS: @@ -69,7 +60,7 @@ def populate_test_configs(offline: bool): @dataclass(frozen=True, repr=True) class TypeTestConfig: - entity_type: FeastType + entity_type: ValueType feature_dtype: str feature_is_list: bool has_empty_list: bool @@ -126,7 +117,6 @@ def get_fixtures(request): config.feature_is_list, config.has_empty_list, data_source, - config.entity_type, ) def cleanup(): @@ -148,29 +138,20 @@ def test_entity_inference_types_match(offline_types_test_fixtures): environment, config, data_source, fv = offline_types_test_fixtures fs = environment.feature_store - # TODO(felixwang9817): Refactor this by finding a better way to force type inference. - # Override the schema and entity_columns to force entity inference. - entity = driver() - fv.schema = list(filter(lambda x: x.name != entity.join_key, fv.schema)) - fv.entity_columns = [] + # Don't specify value type in entity to force inference + entity = driver(value_type=ValueType.UNKNOWN) fs.apply([fv, entity]) entities = fs.list_entities() entity_type_to_expected_inferred_entity_type = { - Int32: Int64, - Int64: Int64, - Float32: Float64, - String: String, + ValueType.INT32: ValueType.INT64, + ValueType.INT64: ValueType.INT64, + ValueType.FLOAT: ValueType.DOUBLE, + ValueType.STRING: ValueType.STRING, } - for entity in entities: - entity_columns = list( - filter(lambda x: x.name == entity.join_key, fv.entity_columns) - ) - assert len(entity_columns) == 1 - entity_column = entity_columns[0] assert ( - entity_column.dtype + entity.value_type == entity_type_to_expected_inferred_entity_type[config.entity_type] ) @@ -192,12 +173,13 @@ def test_feature_get_historical_features_types_match(offline_types_test_fixtures config.feature_is_list, config.has_empty_list, data_source, - config.entity_type, ) fs.apply([fv, entity]) entity_df = pd.DataFrame() - entity_df["driver_id"] = ["1", "3"] if config.entity_type == String else [1, 3] + entity_df["driver_id"] = ( + ["1", "3"] if config.entity_type == ValueType.STRING else [1, 3] + ) ts = pd.Timestamp(datetime.utcnow()).round("ms") entity_df["ts"] = [ ts - timedelta(hours=4), @@ -240,11 +222,10 @@ def test_feature_get_online_features_types_match(online_types_test_fixtures): config.feature_is_list, config.has_empty_list, data_source, - config.entity_type, ) fs = environment.feature_store features = [fv.name + ":value"] - entity = driver() + entity = driver(value_type=config.entity_type) fs.apply([fv, entity]) fs.materialize( environment.start_date, @@ -253,7 +234,7 @@ def test_feature_get_online_features_types_match(online_types_test_fixtures): # we can successfully infer type even from all empty values ) - driver_id_value = "1" if config.entity_type == String else 1 + driver_id_value = "1" if config.entity_type == ValueType.STRING else 1 online_features = fs.get_online_features( features=features, entity_rows=[{"driver_id": driver_id_value}], ).to_dict() @@ -286,7 +267,7 @@ def test_feature_get_online_features_types_match(online_types_test_fixtures): def create_feature_view( - name, feature_dtype, feature_is_list, has_empty_list, data_source, entity_type + name, feature_dtype, feature_is_list, has_empty_list, data_source ): if feature_is_list is True: if feature_dtype == "int32": @@ -311,9 +292,7 @@ def create_feature_view( elif feature_dtype == "datetime": dtype = UnixTimestamp - return driver_feature_view( - data_source, name=name, dtype=dtype, entity_type=entity_type - ) + return driver_feature_view(data_source, name=name, dtype=dtype,) def assert_expected_historical_feature_types( diff --git a/sdk/python/tests/integration/scaffolding/test_partial_apply.py b/sdk/python/tests/integration/scaffolding/test_partial_apply.py index e5a7206b96c..3ab9bf196f2 100644 --- a/sdk/python/tests/integration/scaffolding/test_partial_apply.py +++ b/sdk/python/tests/integration/scaffolding/test_partial_apply.py @@ -2,7 +2,7 @@ import pytest -from feast import BigQuerySource, Entity, FeatureView, Field +from feast import BigQuerySource, FeatureView, Field from feast.types import Float32, String from tests.utils.cli_utils import CliRunner, get_example_repo from tests.utils.online_read_write_test import basic_rw_test @@ -19,7 +19,6 @@ def test_partial() -> None: with runner.local_repo( get_example_repo("example_feature_repo_1.py"), "bigquery" ) as store: - driver = Entity(name="driver", join_keys=["test"]) driver_locations_source = BigQuerySource( table="feast-oss.public.drivers", @@ -29,13 +28,12 @@ def test_partial() -> None: driver_locations_100 = FeatureView( name="driver_locations_100", - entities=[driver], + entities=["driver"], ttl=timedelta(days=1), schema=[ Field(name="lat", dtype=Float32), Field(name="lon", dtype=String), Field(name="name", dtype=String), - Field(name="test", dtype=String), ], online=True, batch_source=driver_locations_source, diff --git a/sdk/python/tests/unit/diff/test_registry_diff.py b/sdk/python/tests/unit/diff/test_registry_diff.py index ae10c834c83..483dae73e26 100644 --- a/sdk/python/tests/unit/diff/test_registry_diff.py +++ b/sdk/python/tests/unit/diff/test_registry_diff.py @@ -2,36 +2,34 @@ diff_registry_objects, tag_objects_for_keep_delete_update_add, ) -from feast.entity import Entity from feast.feature_view import FeatureView from tests.utils.data_source_utils import prep_file_source def test_tag_objects_for_keep_delete_update_add(simple_dataset_1): with prep_file_source(df=simple_dataset_1, timestamp_field="ts_1") as file_source: - entity = Entity(name="id", join_keys=["id"]) to_delete = FeatureView( - name="to_delete", entities=[entity], batch_source=file_source, ttl=None, + name="to_delete", entities=["id"], batch_source=file_source, ttl=None, ) unchanged_fv = FeatureView( - name="fv1", entities=[entity], batch_source=file_source, ttl=None, + name="fv1", entities=["id"], batch_source=file_source, ttl=None, ) pre_changed = FeatureView( name="fv2", - entities=[entity], + entities=["id"], batch_source=file_source, ttl=None, tags={"when": "before"}, ) post_changed = FeatureView( name="fv2", - entities=[entity], + entities=["id"], batch_source=file_source, ttl=None, tags={"when": "after"}, ) to_add = FeatureView( - name="to_add", entities=[entity], batch_source=file_source, ttl=None, + name="to_add", entities=["id"], batch_source=file_source, ttl=None, ) keep, delete, update, add = tag_objects_for_keep_delete_update_add( @@ -54,17 +52,16 @@ def test_tag_objects_for_keep_delete_update_add(simple_dataset_1): def test_diff_registry_objects_feature_views(simple_dataset_1): with prep_file_source(df=simple_dataset_1, timestamp_field="ts_1") as file_source: - entity = Entity(name="id", join_keys=["id"]) pre_changed = FeatureView( name="fv2", - entities=[entity], + entities=["id"], batch_source=file_source, ttl=None, tags={"when": "before"}, ) post_changed = FeatureView( name="fv2", - entities=[entity], + entities=["id"], batch_source=file_source, ttl=None, tags={"when": "after"}, diff --git a/sdk/python/tests/unit/infra/test_provider.py b/sdk/python/tests/unit/infra/test_provider.py index 5ed5603b03b..43c09760e9a 100644 --- a/sdk/python/tests/unit/infra/test_provider.py +++ b/sdk/python/tests/unit/infra/test_provider.py @@ -20,13 +20,14 @@ from feast.field import Field from feast.infra.provider import _get_column_names from feast.types import String +from feast.value_type import ValueType def test_get_column_names_preserves_feature_ordering(): - entity = Entity("my-entity", description="My entity") + entity = Entity("my-entity", description="My entity", value_type=ValueType.STRING) fv = FeatureView( name="my-fv", - entities=[entity], + entities=["my-entity"], ttl=timedelta(days=1), batch_source=BigQuerySource(table="non-existent-mock"), schema=[ diff --git a/sdk/python/tests/unit/test_entity.py b/sdk/python/tests/unit/test_entity.py index 04a857ddefe..254a975f678 100644 --- a/sdk/python/tests/unit/test_entity.py +++ b/sdk/python/tests/unit/test_entity.py @@ -20,14 +20,19 @@ def test_join_key_default(): with pytest.deprecated_call(): - entity = Entity("my-entity", description="My entity") + entity = Entity( + "my-entity", description="My entity", value_type=ValueType.STRING + ) assert entity.join_key == "my-entity" def test_entity_class_contains_tags(): with pytest.deprecated_call(): entity = Entity( - "my-entity", description="My entity", tags={"key1": "val1", "key2": "val2"}, + "my-entity", + description="My entity", + value_type=ValueType.STRING, + tags={"key1": "val1", "key2": "val2"}, ) assert "key1" in entity.tags.keys() and entity.tags["key1"] == "val1" assert "key2" in entity.tags.keys() and entity.tags["key2"] == "val2" @@ -35,18 +40,20 @@ def test_entity_class_contains_tags(): def test_entity_without_tags_empty_dict(): with pytest.deprecated_call(): - entity = Entity("my-entity", description="My entity") + entity = Entity( + "my-entity", description="My entity", value_type=ValueType.STRING + ) assert entity.tags == dict() assert len(entity.tags) == 0 def test_entity_without_description(): with pytest.deprecated_call(): - Entity("my-entity") + Entity("my-entity", value_type=ValueType.STRING) def test_name_not_specified(): - assertpy.assert_that(lambda: Entity()).raises(ValueError) + assertpy.assert_that(lambda: Entity(value_type=ValueType.STRING)).raises(ValueError) def test_multiple_args(): @@ -54,19 +61,15 @@ def test_multiple_args(): def test_name_keyword(recwarn): - Entity(name="my-entity") + Entity(name="my-entity", value_type=ValueType.STRING) assert len(recwarn) == 0 - Entity(name="my-entity", join_key="test") - assert len(recwarn) == 1 - Entity(name="my-entity", join_keys=["test"]) - assert len(recwarn) == 1 def test_hash(): - entity1 = Entity(name="my-entity") - entity2 = Entity(name="my-entity") - entity3 = Entity(name="my-entity", join_keys=["not-my-entity"]) - entity4 = Entity(name="my-entity", join_keys=["not-my-entity"], description="test") + entity1 = Entity(name="my-entity", value_type=ValueType.STRING) + entity2 = Entity(name="my-entity", value_type=ValueType.STRING) + entity3 = Entity(name="my-entity", value_type=ValueType.FLOAT) + entity4 = Entity(name="my-entity", value_type=ValueType.FLOAT, description="test") s1 = {entity1, entity2} assert len(s1) == 1 diff --git a/sdk/python/tests/unit/test_feature_view.py b/sdk/python/tests/unit/test_feature_view.py index 1ef36081ecd..80a583806e7 100644 --- a/sdk/python/tests/unit/test_feature_view.py +++ b/sdk/python/tests/unit/test_feature_view.py @@ -62,7 +62,3 @@ def test_hash(): s4 = {feature_view_1, feature_view_2, feature_view_3, feature_view_4} assert len(s4) == 3 - - -# TODO(felixwang9817): Add tests for proto conversion. -# TODO(felixwang9817): Add tests for field mapping logic. diff --git a/sdk/python/tests/unit/test_unit_feature_store.py b/sdk/python/tests/unit/test_unit_feature_store.py index 0c13dffa629..6f9dd6acb08 100644 --- a/sdk/python/tests/unit/test_unit_feature_store.py +++ b/sdk/python/tests/unit/test_unit_feature_store.py @@ -17,7 +17,7 @@ class MockFeatureView: projection: MockFeatureViewProjection -def test_get_unique_entities(): +def test__get_unique_entities(): entity_values = { "entity_1": [Value(int64_val=1), Value(int64_val=2), Value(int64_val=1)], "entity_2": [ diff --git a/sdk/python/tests/utils/online_write_benchmark.py b/sdk/python/tests/utils/online_write_benchmark.py index 9f2f8ba60df..82ffc8e98bf 100644 --- a/sdk/python/tests/utils/online_write_benchmark.py +++ b/sdk/python/tests/utils/online_write_benchmark.py @@ -17,13 +17,13 @@ from feast.infra.provider import _convert_arrow_to_proto from feast.repo_config import RepoConfig from feast.types import Float32, Int32 +from feast.value_type import ValueType def create_driver_hourly_stats_feature_view(source): - driver = Entity(name="driver", join_keys=["driver_id"]) driver_stats_feature_view = FeatureView( name="driver_stats", - entities=[driver], + entities=["driver_id"], schema=[ Field(name="conv_rate", dtype=Float32), Field(name="acc_rate", dtype=Float32), @@ -61,7 +61,7 @@ def benchmark_writes(): # This is just to set data source to something, we're not reading from parquet source here. parquet_path = os.path.join(temp_dir, "data.parquet") - driver = Entity(name="driver_id") + driver = Entity(name="driver_id", value_type=ValueType.INT64) table = create_driver_hourly_stats_feature_view( create_driver_hourly_stats_source(parquet_path=parquet_path) ) From 10e23b437cd83fe62c8e10c0f577781322970947 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Thu, 5 May 2022 14:17:40 -0700 Subject: [PATCH 52/87] fix: Update java integration tests and add more logging (#2637) Signed-off-by: Achal Shah --- .../feast/serving/it/ServingEnvironment.java | 36 +++++++++---------- .../docker-compose-redis-it.yml | 4 +-- 2 files changed, 20 insertions(+), 20 deletions(-) diff --git a/java/serving/src/test/java/feast/serving/it/ServingEnvironment.java b/java/serving/src/test/java/feast/serving/it/ServingEnvironment.java index c00dc7b1f31..cffa2ae3af6 100644 --- a/java/serving/src/test/java/feast/serving/it/ServingEnvironment.java +++ b/java/serving/src/test/java/feast/serving/it/ServingEnvironment.java @@ -39,13 +39,14 @@ import org.junit.jupiter.api.BeforeAll; import org.junit.jupiter.api.BeforeEach; import org.testcontainers.containers.DockerComposeContainer; +import org.testcontainers.containers.output.OutputFrame; import org.testcontainers.containers.wait.strategy.Wait; import org.testcontainers.junit.jupiter.Testcontainers; @Testcontainers abstract class ServingEnvironment { static DockerComposeContainer environment; - + static int serverPort = getFreePort(); ServingServiceGrpc.ServingServiceBlockingStub servingStub; Injector injector; String serverName; @@ -53,8 +54,6 @@ abstract class ServingEnvironment { Server server; MutableHandlerRegistry serviceRegistry; - static int serverPort = getFreePort(); - @BeforeAll static void globalSetup() { environment = @@ -62,7 +61,8 @@ static void globalSetup() { new File("src/test/resources/docker-compose/docker-compose-redis-it.yml")) .withExposedService("redis", 6379) .withExposedService("feast", 8080) - .waitingFor("feast", Wait.forListeningPort()); + .waitingFor("feast", Wait.forListeningPort()) + .withLogConsumer("feast", f -> System.out.print(((OutputFrame) f).getUtf8String())); environment.start(); } @@ -71,6 +71,20 @@ static void globalTeardown() { environment.stop(); } + private static int getFreePort() { + ServerSocket serverSocket; + try { + serverSocket = new ServerSocket(0); + } catch (IOException e) { + throw new RuntimeException("Couldn't allocate port"); + } + + assertThat(serverSocket, is(notNullValue())); + assertThat(serverSocket.getLocalPort(), greaterThan(0)); + + return serverSocket.getLocalPort(); + } + @BeforeEach public void envSetUp() throws Exception { AbstractModule appPropertiesModule = @@ -155,18 +169,4 @@ public void envTeardown() throws Exception { AbstractModule registryConfig() { return null; } - - private static int getFreePort() { - ServerSocket serverSocket; - try { - serverSocket = new ServerSocket(0); - } catch (IOException e) { - throw new RuntimeException("Couldn't allocate port"); - } - - assertThat(serverSocket, is(notNullValue())); - assertThat(serverSocket.getLocalPort(), greaterThan(0)); - - return serverSocket.getLocalPort(); - } } diff --git a/java/serving/src/test/resources/docker-compose/docker-compose-redis-it.yml b/java/serving/src/test/resources/docker-compose/docker-compose-redis-it.yml index 1dee243cb80..5c9ab18cdfd 100644 --- a/java/serving/src/test/resources/docker-compose/docker-compose-redis-it.yml +++ b/java/serving/src/test/resources/docker-compose/docker-compose-redis-it.yml @@ -5,11 +5,11 @@ services: image: redis:6.2 command: redis-server --requirepass testpw ports: - - "6379:6379" + - "6379" feast: build: feast10 ports: - - "8080:8080" + - "8080" links: - redis From 41a1da4560bb09077f32c09d37f3304f8ae84f2a Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Thu, 5 May 2022 15:49:40 -0700 Subject: [PATCH 53/87] chore: Use latest Python code in Java Integration Tests (#2645) * Use latest python code in Java IT Signed-off-by: pyalex * clean Signed-off-by: pyalex --- .../java/feast/serving/it/ServingEnvironment.java | 8 ++++---- .../docker-compose/docker-compose-redis-it.yml | 2 ++ .../test/resources/docker-compose/feast10/Dockerfile | 5 +---- .../resources/docker-compose/feast10/entrypoint.sh | 11 +++++++++++ 4 files changed, 18 insertions(+), 8 deletions(-) create mode 100755 java/serving/src/test/resources/docker-compose/feast10/entrypoint.sh diff --git a/java/serving/src/test/java/feast/serving/it/ServingEnvironment.java b/java/serving/src/test/java/feast/serving/it/ServingEnvironment.java index cffa2ae3af6..ebbfa89d37b 100644 --- a/java/serving/src/test/java/feast/serving/it/ServingEnvironment.java +++ b/java/serving/src/test/java/feast/serving/it/ServingEnvironment.java @@ -33,13 +33,13 @@ import java.io.File; import java.io.IOException; import java.net.ServerSocket; +import java.time.Duration; import java.util.concurrent.TimeUnit; import org.junit.jupiter.api.AfterAll; import org.junit.jupiter.api.AfterEach; import org.junit.jupiter.api.BeforeAll; import org.junit.jupiter.api.BeforeEach; import org.testcontainers.containers.DockerComposeContainer; -import org.testcontainers.containers.output.OutputFrame; import org.testcontainers.containers.wait.strategy.Wait; import org.testcontainers.junit.jupiter.Testcontainers; @@ -60,9 +60,9 @@ static void globalSetup() { new DockerComposeContainer( new File("src/test/resources/docker-compose/docker-compose-redis-it.yml")) .withExposedService("redis", 6379) - .withExposedService("feast", 8080) - .waitingFor("feast", Wait.forListeningPort()) - .withLogConsumer("feast", f -> System.out.print(((OutputFrame) f).getUtf8String())); + .withExposedService( + "feast", 8080, Wait.forListeningPort().withStartupTimeout(Duration.ofSeconds(180))) + .withTailChildContainers(true); environment.start(); } diff --git a/java/serving/src/test/resources/docker-compose/docker-compose-redis-it.yml b/java/serving/src/test/resources/docker-compose/docker-compose-redis-it.yml index 5c9ab18cdfd..0522750d996 100644 --- a/java/serving/src/test/resources/docker-compose/docker-compose-redis-it.yml +++ b/java/serving/src/test/resources/docker-compose/docker-compose-redis-it.yml @@ -12,4 +12,6 @@ services: - "8080" links: - redis + volumes: + - $PWD/../../../../../../:/mnt/feast diff --git a/java/serving/src/test/resources/docker-compose/feast10/Dockerfile b/java/serving/src/test/resources/docker-compose/feast10/Dockerfile index 5a2291af15c..dc26c804a9a 100644 --- a/java/serving/src/test/resources/docker-compose/feast10/Dockerfile +++ b/java/serving/src/test/resources/docker-compose/feast10/Dockerfile @@ -5,11 +5,8 @@ WORKDIR /usr/src/ COPY requirements.txt ./ RUN pip install --no-cache-dir -r requirements.txt -RUN git clone https://github.com/feast-dev/feast.git /root/feast -RUN cd /root/feast/ && pip install -e '.[redis]' - WORKDIR /app COPY . . EXPOSE 8080 -CMD ["/bin/sh", "-c", "python materialize.py && feast serve_transformations --port 8080"] +CMD ["./entrypoint.sh"] diff --git a/java/serving/src/test/resources/docker-compose/feast10/entrypoint.sh b/java/serving/src/test/resources/docker-compose/feast10/entrypoint.sh new file mode 100755 index 00000000000..d7dcd03c5fb --- /dev/null +++ b/java/serving/src/test/resources/docker-compose/feast10/entrypoint.sh @@ -0,0 +1,11 @@ +#!/usr/bin/env sh + +set -e + +# feast root directory is expected to be mounted (eg, by docker compose) +cd /mnt/feast +pip install -e '.[redis]' + +cd /app +python materialize.py +feast serve_transformations --port 8080 \ No newline at end of file From 5b4b07f999eb38542eb5518cf0db54a98baeeb40 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Fri, 6 May 2022 11:23:27 -0700 Subject: [PATCH 54/87] chore: Make loading online and offline classes lazy (#2646) * chore: Make loading online and offline classes lazy Signed-off-by: Achal Shah * fixes Signed-off-by: Achal Shah * fixes Signed-off-by: Achal Shah * nullability fixes Signed-off-by: Achal Shah --- .../feast/infra/passthrough_provider.py | 24 +++++-- sdk/python/feast/repo_config.py | 71 +++++++++++++++---- .../integration_test_repo_config.py | 6 +- .../test_dynamodb_online_store.py | 1 + 4 files changed, 79 insertions(+), 23 deletions(-) diff --git a/sdk/python/feast/infra/passthrough_provider.py b/sdk/python/feast/infra/passthrough_provider.py index 0b6b798fe01..b5965c91bfb 100644 --- a/sdk/python/feast/infra/passthrough_provider.py +++ b/sdk/python/feast/infra/passthrough_provider.py @@ -39,12 +39,24 @@ def __init__(self, config: RepoConfig): super().__init__(config) self.repo_config = config - self.offline_store = get_offline_store_from_config(config.offline_store) - self.online_store = ( - get_online_store_from_config(config.online_store) - if config.online_store - else None - ) + self._offline_store = None + self._online_store = None + + @property + def online_store(self): + if not self._online_store and self.repo_config.online_store: + self._online_store = get_online_store_from_config( + self.repo_config.online_store + ) + return self._online_store + + @property + def offline_store(self): + if not self._offline_store: + self._offline_store = get_offline_store_from_config( + self.repo_config.offline_store + ) + return self._offline_store def update_infra( self, diff --git a/sdk/python/feast/repo_config.py b/sdk/python/feast/repo_config.py index ef1871f2fe6..62d799a2b6b 100644 --- a/sdk/python/feast/repo_config.py +++ b/sdk/python/feast/repo_config.py @@ -6,6 +6,7 @@ import yaml from pydantic import ( BaseModel, + Field, StrictInt, StrictStr, ValidationError, @@ -107,10 +108,10 @@ class RepoConfig(FeastBaseModel): provider: StrictStr """ str: local or gcp or aws """ - online_store: Any + _online_config: Any = Field(alias="online_store") """ OnlineStoreConfig: Online store configuration (optional depending on provider) """ - offline_store: Any + _offline_config: Any = Field(alias="offline_store") """ OfflineStoreConfig: Offline store configuration (optional depending on provider) """ feature_server: Optional[Any] @@ -126,19 +127,27 @@ class RepoConfig(FeastBaseModel): def __init__(self, **data: Any): super().__init__(**data) - if isinstance(self.online_store, Dict): - self.online_store = get_online_config_from_type(self.online_store["type"])( - **self.online_store - ) - elif isinstance(self.online_store, str): - self.online_store = get_online_config_from_type(self.online_store)() - - if isinstance(self.offline_store, Dict): - self.offline_store = get_offline_config_from_type( - self.offline_store["type"] - )(**self.offline_store) - elif isinstance(self.offline_store, str): - self.offline_store = get_offline_config_from_type(self.offline_store)() + self._offline_store = None + if "offline_store" in data: + self._offline_config = data["offline_store"] + else: + if data["provider"] == "local": + self._offline_config = "file" + elif data["provider"] == "gcp": + self._offline_config = "bigquery" + elif data["provider"] == "aws": + self._offline_config = "redshift" + + self._online_store = None + if "online_store" in data: + self._online_config = data["online_store"] + else: + if data["provider"] == "local": + self._online_config = "sqlite" + elif data["provider"] == "gcp": + self._online_config = "datastore" + elif data["provider"] == "aws": + self._online_config = "dynamodb" if isinstance(self.feature_server, Dict): self.feature_server = get_feature_server_config_from_type( @@ -151,6 +160,35 @@ def get_registry_config(self): else: return self.registry + @property + def offline_store(self): + if not self._offline_store: + if isinstance(self._offline_config, Dict): + self._offline_store = get_offline_config_from_type( + self._offline_config["type"] + )(**self._offline_config) + elif isinstance(self._offline_config, str): + self._offline_store = get_offline_config_from_type( + self._offline_config + )() + elif self._offline_config: + self._offline_store = self._offline_config + return self._offline_store + + @property + def online_store(self): + if not self._online_store: + if isinstance(self._online_config, Dict): + self._online_store = get_online_config_from_type( + self._online_config["type"] + )(**self._online_config) + elif isinstance(self._online_config, str): + self._online_store = get_online_config_from_type(self._online_config)() + elif self._online_config: + self._online_store = self._online_config + + return self._online_store + @root_validator(pre=True) @log_exceptions def _validate_online_store_config(cls, values): @@ -304,6 +342,9 @@ def write_to_path(self, repo_path: Path): sort_keys=False, ) + class Config: + allow_population_by_field_name = True + class FeastConfigError(Exception): def __init__(self, error_message, config_path): diff --git a/sdk/python/tests/integration/feature_repos/integration_test_repo_config.py b/sdk/python/tests/integration/feature_repos/integration_test_repo_config.py index f8cd66a6196..d014719bd0a 100644 --- a/sdk/python/tests/integration/feature_repos/integration_test_repo_config.py +++ b/sdk/python/tests/integration/feature_repos/integration_test_repo_config.py @@ -19,7 +19,7 @@ class IntegrationTestRepoConfig: """ provider: str = "local" - online_store: Union[str, Dict] = "sqlite" + online_store: Optional[Union[str, Dict]] = "sqlite" offline_store_creator: Type[DataSourceCreator] = FileDataSourceCreator online_store_creator: Optional[Type[OnlineStoreCreator]] = None @@ -38,8 +38,10 @@ def __repr__(self) -> str: online_store_type = self.online_store.get("redis_type", "redis") else: online_store_type = self.online_store["type"] - else: + elif self.online_store: online_store_type = self.online_store.__name__ + else: + online_store_type = "none" else: online_store_type = self.online_store_creator.__name__ diff --git a/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py b/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py index fa2bb7601b2..6275a177e05 100644 --- a/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py +++ b/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py @@ -39,6 +39,7 @@ def repo_config(): project=PROJECT, provider=PROVIDER, online_store=DynamoDBOnlineStoreConfig(region=REGION), + # online_store={"type": "dynamodb", "region": REGION}, offline_store=FileOfflineStoreConfig(), ) From 640ff12cedf2d59185e4016905b1e5bb044f2b88 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Mon, 9 May 2022 09:40:34 -0700 Subject: [PATCH 55/87] ci: Update postgres tests to use testcontainers (#2650) * ci: Add a postgres testcontainer for tests Signed-off-by: Achal Shah * ci: Update postgres tests to use test containers Signed-off-by: Achal Shah * ci: Update postgres tests to use test containers Signed-off-by: Achal Shah --- CONTRIBUTING.md | 1 + Makefile | 7 +- .../contrib/postgres_repo_configuration.py | 12 +- .../infra/online_stores/contrib/postgres.py | 2 +- sdk/python/tests/conftest.py | 54 +++++- .../universal/data_sources/postgres.py | 159 +++++++++++++++--- setup.py | 2 +- 7 files changed, 199 insertions(+), 38 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 249ea5afcec..726ef1a5bad 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -178,6 +178,7 @@ The services with containerized replacements currently implemented are: - Redis - Trino - HBase +- Postgres You can run `make test-python-integration-container` to run tests against the containerized versions of dependencies. diff --git a/Makefile b/Makefile index 0ee6fcb6857..dec93545297 100644 --- a/Makefile +++ b/Makefile @@ -79,12 +79,15 @@ test-python-universal-postgres: FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.postgres_repo_configuration \ FEAST_USAGE=False \ IS_TEST=True \ - python -m pytest --integration --universal \ + python -m pytest -x --integration --universal \ -k "not test_historical_retrieval_fails_on_validation and \ not test_historical_retrieval_with_validation and \ not test_historical_features_persisting and \ not test_historical_retrieval_fails_on_validation and \ - not test_universal_cli" \ + not test_universal_cli and \ + not test_go_feature_server and \ + not test_feature_logging and \ + not test_universal_types" \ sdk/python/tests test-python-universal-local: diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py index 91ab6868959..bb7fd0caf5e 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py @@ -5,20 +5,10 @@ PostgreSQLDataSourceCreator, ) -POSTGRES_ONLINE_CONFIG = { - "type": "postgres", - "host": "localhost", - "port": "5432", - "database": "postgres", - "db_schema": "feature_store", - "user": "postgres", - "password": "docker", -} - FULL_REPO_CONFIGS = [ IntegrationTestRepoConfig( provider="local", offline_store_creator=PostgreSQLDataSourceCreator, - online_store=POSTGRES_ONLINE_CONFIG, + online_store_creator=PostgreSQLDataSourceCreator, ), ] diff --git a/sdk/python/feast/infra/online_stores/contrib/postgres.py b/sdk/python/feast/infra/online_stores/contrib/postgres.py index 479b6018062..14ff806e4bd 100644 --- a/sdk/python/feast/infra/online_stores/contrib/postgres.py +++ b/sdk/python/feast/infra/online_stores/contrib/postgres.py @@ -64,7 +64,7 @@ def online_write_batch( created_ts, ) ) - # Controll the batch so that we can update the progress + # Control the batch so that we can update the progress batch_size = 5000 for i in range(0, len(insert_values), batch_size): cur_batch = insert_values[i : i + batch_size] diff --git a/sdk/python/tests/conftest.py b/sdk/python/tests/conftest.py index 2ff97649d64..b57152c82d9 100644 --- a/sdk/python/tests/conftest.py +++ b/sdk/python/tests/conftest.py @@ -204,16 +204,68 @@ def teardown(): return TrinoContainerSingleton +class PostgresContainerSingleton: + container = None + is_running = False + + postgres_user = "test" + postgres_password = "test" + postgres_db = "test" + + @classmethod + def get_singleton(cls): + if not cls.is_running: + cls.container = ( + DockerContainer("postgres:latest") + .with_exposed_ports(5432) + .with_env("POSTGRES_USER", cls.postgres_user) + .with_env("POSTGRES_PASSWORD", cls.postgres_password) + .with_env("POSTGRES_DB", cls.postgres_db) + ) + + cls.container.start() + log_string_to_wait_for = "database system is ready to accept connections" + waited = wait_for_logs( + container=cls.container, + predicate=log_string_to_wait_for, + timeout=30, + interval=10, + ) + logger.info("Waited for %s seconds until postgres container was up", waited) + cls.is_running = True + return cls.container + + @classmethod + def teardown(cls): + if cls.container: + cls.container.stop() + + +@pytest.fixture(scope="session") +def postgres_fixture(request): + def teardown(): + PostgresContainerSingleton.teardown() + + request.addfinalizer(teardown) + return PostgresContainerSingleton + + @pytest.fixture( params=FULL_REPO_CONFIGS, scope="session", ids=[str(c) for c in FULL_REPO_CONFIGS] ) -def environment(request, worker_id: str, trino_fixture): +def environment(request, worker_id: str, trino_fixture, postgres_fixture): if "TrinoSourceCreator" in request.param.offline_store_creator.__name__: e = construct_test_environment( request.param, worker_id=worker_id, offline_container=trino_fixture.get_singleton(), ) + elif "PostgresSourceCreator" in request.param.offline_store_creator.__name__: + e = construct_test_environment( + request.param, + worker_id=worker_id, + offline_container=postgres_fixture.get_singleton(), + ) else: e = construct_test_environment(request.param, worker_id=worker_id) proc = Process( diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py index de5df6496f3..134234f93c8 100644 --- a/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py +++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py @@ -1,38 +1,86 @@ -from typing import Dict, List, Optional +import logging +from typing import Dict, Optional import pandas as pd +from testcontainers.core.container import DockerContainer +from testcontainers.core.waiting_utils import wait_for_logs from feast.data_source import DataSource from feast.infra.offline_stores.contrib.postgres_offline_store.postgres import ( PostgreSQLOfflineStoreConfig, PostgreSQLSource, ) -from feast.infra.utils.postgres.connection_utils import _get_conn, df_to_postgres_table +from feast.infra.utils.postgres.connection_utils import df_to_postgres_table from feast.repo_config import FeastConfigBaseModel from tests.integration.feature_repos.universal.data_source_creator import ( DataSourceCreator, ) +from tests.integration.feature_repos.universal.online_store_creator import ( + OnlineStoreCreator, +) +logger = logging.getLogger(__name__) -class PostgreSQLDataSourceCreator(DataSourceCreator): - tables: List[str] = [] - def __init__(self, project_name: str, *args, **kwargs): - super().__init__(project_name) - self.project_name = project_name +class PostgresSourceCreatorSingleton: + postgres_user = "test" + postgres_password = "test" + postgres_db = "test" + + running = False + + project_name = None + container = None + provided_container = None - self.offline_store_config = PostgreSQLOfflineStoreConfig( + offline_store_config = None + + @classmethod + def initialize(cls, project_name: str, *args, **kwargs): + cls.project_name = project_name + + if "offline_container" not in kwargs or not kwargs.get( + "offline_container", None + ): + # If we don't get an offline container provided, we try to create it on the fly. + # the problem here is that each test creates its own container, which basically + # browns out developer laptops. + cls.container = ( + DockerContainer("postgres:latest") + .with_exposed_ports(5432) + .with_env("POSTGRES_USER", cls.postgres_user) + .with_env("POSTGRES_PASSWORD", cls.postgres_password) + .with_env("POSTGRES_DB", cls.postgres_db) + ) + + cls.container.start() + cls.provided_container = False + log_string_to_wait_for = "database system is ready to accept connections" + waited = wait_for_logs( + container=cls.container, + predicate=log_string_to_wait_for, + timeout=30, + interval=10, + ) + logger.info("Waited for %s seconds until postgres container was up", waited) + cls.running = True + else: + cls.provided_container = True + cls.container = kwargs["offline_container"] + + cls.offline_store_config = PostgreSQLOfflineStoreConfig( type="postgres", host="localhost", - port=5432, - database="postgres", + port=cls.container.get_exposed_port(5432), + database=cls.container.env["POSTGRES_DB"], db_schema="public", - user="postgres", - password="docker", + user=cls.container.env["POSTGRES_USER"], + password=cls.container.env["POSTGRES_PASSWORD"], ) + @classmethod def create_data_source( - self, + cls, df: pd.DataFrame, destination_name: str, suffix: Optional[str] = None, @@ -41,11 +89,10 @@ def create_data_source( field_mapping: Dict[str, str] = None, ) -> DataSource: - destination_name = self.get_prefixed_table_name(destination_name) + destination_name = cls.get_prefixed_table_name(destination_name) - df_to_postgres_table(self.offline_store_config, df, destination_name) - - self.tables.append(destination_name) + if cls.offline_store_config: + df_to_postgres_table(cls.offline_store_config, df, destination_name) return PostgreSQLSource( name=destination_name, @@ -55,17 +102,85 @@ def create_data_source( field_mapping=field_mapping or {"ts_1": "ts"}, ) + @classmethod + def create_offline_store_config(cls) -> PostgreSQLOfflineStoreConfig: + assert cls.offline_store_config + return cls.offline_store_config + + @classmethod + def get_prefixed_table_name(cls, suffix: str) -> str: + return f"{cls.project_name}_{suffix}" + + @classmethod + def create_online_store(cls) -> Dict[str, str]: + assert cls.container + return { + "type": "postgres", + "host": "localhost", + "port": cls.container.get_exposed_port(5432), + "database": cls.postgres_db, + "db_schema": "feature_store", + "user": cls.postgres_user, + "password": cls.postgres_password, + } + + @classmethod + def create_saved_dataset_destination(cls): + # FIXME: ... + return None + + @classmethod + def teardown(cls): + if not cls.provided_container and cls.running: + cls.container.stop() + cls.running = False + cls.container = None + cls.project = None + + +class PostgreSQLDataSourceCreator(DataSourceCreator, OnlineStoreCreator): + + postgres_user = "test" + postgres_password = "test" + postgres_db = "test" + + running = False + + def __init__(self, project_name: str, *args, **kwargs): + super().__init__(project_name) + PostgresSourceCreatorSingleton.initialize(project_name, args, kwargs) + + def create_data_source( + self, + df: pd.DataFrame, + destination_name: str, + suffix: Optional[str] = None, + timestamp_field="ts", + created_timestamp_column="created_ts", + field_mapping: Dict[str, str] = None, + ) -> DataSource: + + return PostgresSourceCreatorSingleton.create_data_source( + df, + destination_name, + suffix, + timestamp_field, + created_timestamp_column, + field_mapping, + ) + def create_offline_store_config(self) -> FeastConfigBaseModel: - return self.offline_store_config + return PostgresSourceCreatorSingleton.create_offline_store_config() def get_prefixed_table_name(self, suffix: str) -> str: - return f"{self.project_name}_{suffix}" + return PostgresSourceCreatorSingleton.get_prefixed_table_name(suffix) + + def create_online_store(self) -> Dict[str, str]: + return PostgresSourceCreatorSingleton.create_online_store() def create_saved_dataset_destination(self): # FIXME: ... return None def teardown(self): - with _get_conn(self.offline_store_config) as conn, conn.cursor() as cur: - for table in self.tables: - cur.execute("DROP TABLE IF EXISTS " + table) + PostgresSourceCreatorSingleton.teardown() diff --git a/setup.py b/setup.py index 1ecc3df8209..8736482f669 100644 --- a/setup.py +++ b/setup.py @@ -150,7 +150,7 @@ "pytest-mock==1.10.4", "Sphinx!=4.0.0,<4.4.0", "sphinx-rtd-theme", - "testcontainers>=3.5", + "testcontainers[postgresql]>=3.5", "adlfs==0.5.9", "firebase-admin==4.5.2", "pre-commit", From 1e0206627fef891aa3a3f0b0f46507449e3663e7 Mon Sep 17 00:00:00 2001 From: Kevin Zhang Date: Tue, 10 May 2022 11:18:24 -0700 Subject: [PATCH 56/87] fix: Feature service to templates (#2649) * add templates Signed-off-by: Kevin Zhang * Lint Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang --- docs/getting-started/quickstart.md | 63 ++++++++++++++++--- sdk/python/feast/templates/aws/driver_repo.py | 4 +- sdk/python/feast/templates/gcp/driver_repo.py | 4 +- sdk/python/feast/templates/local/example.py | 6 +- .../feast/templates/snowflake/driver_repo.py | 4 +- sdk/python/feast/templates/spark/example.py | 7 ++- 6 files changed, 74 insertions(+), 14 deletions(-) diff --git a/docs/getting-started/quickstart.md b/docs/getting-started/quickstart.md index e9a294d5fce..f2446b4c1c6 100644 --- a/docs/getting-started/quickstart.md +++ b/docs/getting-started/quickstart.md @@ -116,6 +116,11 @@ driver_hourly_stats_view = FeatureView( source=driver_hourly_stats, tags={}, ) + +driver_stats_fs = FeatureService( + name="driver_activity", + features=[driver_hourly_stats_view] +) ``` {% endtab %} {% endtabs %} @@ -186,6 +191,11 @@ driver_hourly_stats_view = FeatureView( source=driver_hourly_stats, tags={}, ) + +driver_stats_fs = FeatureService( + name="driver_activity", + features=[driver_hourly_stats_view] +) ``` {% endtab %} {% endtabs %} @@ -223,7 +233,7 @@ entity_df = pd.DataFrame.from_dict( "driver_id": [1001, 1002, 1003], # label name -> label values - "label_driver_reported_satisfaction": [1, 5, 3], + "label_driver_reported_satisfaction": [1, 5, 3], # "event_timestamp" (reserved key) -> timestamps "event_timestamp": [ @@ -263,14 +273,14 @@ print(training_df.head()) Int64Index: 3 entries, 0 to 2 Data columns (total 6 columns): - # Column Non-Null Count Dtype ---- ------ -------------- ----- + # Column Non-Null Count Dtype +--- ------ -------------- ----- 0 event_timestamp 3 non-null datetime64[ns, UTC] - 1 driver_id 3 non-null int64 - 2 label_driver_reported_satisfaction 3 non-null int64 - 3 conv_rate 3 non-null float32 - 4 acc_rate 3 non-null float32 - 5 avg_daily_trips 3 non-null int32 + 1 driver_id 3 non-null int64 + 2 label_driver_reported_satisfaction 3 non-null int64 + 3 conv_rate 3 non-null float32 + 4 acc_rate 3 non-null float32 + 5 avg_daily_trips 3 non-null int32 dtypes: datetime64[ns, UTC](1), float32(2), int32(1), int64(2) memory usage: 132.0 bytes None @@ -303,7 +313,7 @@ feast materialize-incremental $CURRENT_TIME {% tabs %} {% tab title="Output" %} ```bash -Materializing 1 feature views to 2021-08-23 16:25:46+00:00 into the sqlite online +Materializing 1 feature views to 2021-08-23 16:25:46+00:00 into the sqlite online store. driver_hourly_stats from 2021-08-22 16:25:47+00:00 to 2021-08-23 16:25:46+00:00: @@ -355,6 +365,41 @@ pprint(feature_vector) {% endtab %} {% endtabs %} +## Step 7: Using a featureservice to fetch online features instead. + +You can also use feature services to manage multiple features, and decouple feature view definitions and the features needed by end applications. The feature store can also be used to fetch either online or historical features using the same api below. More information can be found [here](https://docs.feast.dev/getting-started/concepts/feature-service). + +{% tabs %} +{% tab title="Python" %} +```python +from feast import FeatureStore +feature_store = FeatureStore('.') # Initialize the feature store + +feature_service = feature_store.get_feature_service("driver_activity") +features = feature_store.get_online_features( + features=feature_service, + entity_rows=[ + # {join_key: entity_value} + {"driver_id": 1004}, + {"driver_id": 1005}, + ], +).to_dict() +``` + +{% tabs %} +{% tab title="Output" %} +```bash +{ + 'acc_rate': [0.5732735991477966, 0.7828438878059387], + 'avg_daily_trips': [33, 984], + 'conv_rate': [0.15498852729797363, 0.6263588070869446], + 'driver_id': [1004, 1005] +} +``` +{% endtab %} +{% endtabs %} + + ## Next steps * Read the [Concepts](concepts/) page to understand the Feast data model. diff --git a/sdk/python/feast/templates/aws/driver_repo.py b/sdk/python/feast/templates/aws/driver_repo.py index 5188f57cf83..8ebe0b6e927 100644 --- a/sdk/python/feast/templates/aws/driver_repo.py +++ b/sdk/python/feast/templates/aws/driver_repo.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, RedshiftSource, ValueType +from feast import Entity, FeatureService, FeatureView, Field, RedshiftSource, ValueType from feast.types import Float32, Int64 # Define an entity for the driver. Entities can be thought of as primary keys used to @@ -65,3 +65,5 @@ # feature view tags={"team": "driver_performance"}, ) + +driver_stats_fs = FeatureService(name="driver_activity", features=[driver_stats_fv]) diff --git a/sdk/python/feast/templates/gcp/driver_repo.py b/sdk/python/feast/templates/gcp/driver_repo.py index 7d137f996b6..a4517516b56 100644 --- a/sdk/python/feast/templates/gcp/driver_repo.py +++ b/sdk/python/feast/templates/gcp/driver_repo.py @@ -1,6 +1,6 @@ from datetime import timedelta -from feast import BigQuerySource, Entity, FeatureView, Field, ValueType +from feast import BigQuerySource, Entity, FeatureService, FeatureView, Field, ValueType from feast.types import Float32, Int64 # Define an entity for the driver. Entities can be thought of as primary keys used to @@ -63,3 +63,5 @@ # feature view tags={"team": "driver_performance"}, ) + +driver_stats_fs = FeatureService(name="driver_activity", features=[driver_stats_fv]) diff --git a/sdk/python/feast/templates/local/example.py b/sdk/python/feast/templates/local/example.py index 1d441e0e995..7633947e6e4 100644 --- a/sdk/python/feast/templates/local/example.py +++ b/sdk/python/feast/templates/local/example.py @@ -2,7 +2,7 @@ from datetime import timedelta -from feast import Entity, FeatureView, Field, FileSource, ValueType +from feast import Entity, FeatureService, FeatureView, Field, FileSource, ValueType from feast.types import Float32, Int64 # Read data from parquet files. Parquet is convenient for local development mode. For @@ -34,3 +34,7 @@ source=driver_hourly_stats, tags={}, ) + +driver_stats_fs = FeatureService( + name="driver_activity", features=[driver_hourly_stats_view] +) diff --git a/sdk/python/feast/templates/snowflake/driver_repo.py b/sdk/python/feast/templates/snowflake/driver_repo.py index ecccb9863bc..ceaf0ba8de8 100644 --- a/sdk/python/feast/templates/snowflake/driver_repo.py +++ b/sdk/python/feast/templates/snowflake/driver_repo.py @@ -2,7 +2,7 @@ import yaml -from feast import Entity, FeatureView, Field, SnowflakeSource +from feast import Entity, FeatureService, FeatureView, Field, SnowflakeSource from feast.types import Float32, Int64 # Define an entity for the driver. Entities can be thought of as primary keys used to @@ -64,3 +64,5 @@ # features batch_source=driver_stats_source, ) + +driver_stats_fs = FeatureService(name="driver_activity", features=[driver_stats_fv]) diff --git a/sdk/python/feast/templates/spark/example.py b/sdk/python/feast/templates/spark/example.py index 58f3df740f3..da334dd83ca 100644 --- a/sdk/python/feast/templates/spark/example.py +++ b/sdk/python/feast/templates/spark/example.py @@ -5,7 +5,7 @@ from datetime import timedelta from pathlib import Path -from feast import Entity, FeatureView, Field, ValueType +from feast import Entity, FeatureService, FeatureView, Field, ValueType from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import ( SparkSource, ) @@ -64,3 +64,8 @@ source=customer_daily_profile, tags={}, ) + +driver_stats_fs = FeatureService( + name="driver_activity", + features=[driver_hourly_stats_view, customer_daily_profile_view], +) From ffa33ad9860e3220f8c2bb5374c1fb86f716a0c7 Mon Sep 17 00:00:00 2001 From: hermesdt Date: Tue, 10 May 2022 23:03:29 +0200 Subject: [PATCH 57/87] feat: Allow to pass secrets and environment variables to transformation service (#2632) Signed-off-by: Alvaro Duran Tovar Co-authored-by: Alvaro Duran Tovar --- infra/charts/feast/Chart.yaml | 2 +- .../templates/deployment.yaml | 29 +++++++++++++++++-- .../charts/transformation-service/values.yaml | 3 ++ 3 files changed, 31 insertions(+), 3 deletions(-) diff --git a/infra/charts/feast/Chart.yaml b/infra/charts/feast/Chart.yaml index f526e0a7386..a45c2784629 100644 --- a/infra/charts/feast/Chart.yaml +++ b/infra/charts/feast/Chart.yaml @@ -1,7 +1,7 @@ apiVersion: v1 description: Feature store for machine learning name: feast -version: 0.20.0 +version: 0.20.1 keywords: - machine learning - big data diff --git a/infra/charts/feast/charts/transformation-service/templates/deployment.yaml b/infra/charts/feast/charts/transformation-service/templates/deployment.yaml index 1b2172c305b..ac3e0c1f70d 100644 --- a/infra/charts/feast/charts/transformation-service/templates/deployment.yaml +++ b/infra/charts/feast/charts/transformation-service/templates/deployment.yaml @@ -30,6 +30,14 @@ spec: nodeSelector: {{- toYaml . | nindent 8 }} {{- end }} + + volumes: + {{- range $secret := .Values.secrets }} + - name: {{ $secret }} + secret: + secretName: {{ $secret }} + {{- end }} + containers: - name: {{ .Chart.Name }} image: {{ .Values.image.repository }}:{{ .Values.image.tag }} @@ -37,12 +45,29 @@ spec: ports: - name: grpc containerPort: {{ .Values.service.grpc.targetPort }} - + + volumeMounts: + {{- range $secret := .Values.secrets }} + - name: {{ $secret }} + mountPath: "/etc/secrets/{{ $secret }}" + readOnly: true + {{- end }} + env: - name: FEATURE_TRANSFORMATION_SERVER_PORT value: {{ .Values.service.grpc.targetPort | quote }} - name: FEATURE_STORE_YAML_BASE64 value: {{ tpl (.Files.Get "config/feature_store.yaml") . | b64enc | quote }} - + + {{- range $key, $value := .Values.envOverrides }} + - name: {{ printf "%s" $key | replace "." "_" | upper | quote }} + {{- if eq (kindOf $value) "map" }} + valueFrom: + {{- toYaml $value | nindent 12 }} + {{- else }} + value: {{ $value | quote }} + {{- end }} + {{- end }} + resources: {{- toYaml .Values.resources | nindent 10 }} diff --git a/infra/charts/feast/charts/transformation-service/values.yaml b/infra/charts/feast/charts/transformation-service/values.yaml index 248f9faac3d..55f98f92ca4 100644 --- a/infra/charts/feast/charts/transformation-service/values.yaml +++ b/infra/charts/feast/charts/transformation-service/values.yaml @@ -30,5 +30,8 @@ nodeSelector: {} # envOverrides -- Extra environment variables to set envOverrides: {} +# secrets -- List of Kubernetes secrets to be mounted. These secrets will be mounted on /etc/secrets/. +secrets: [] + # podLabels -- Labels to be added to Feast Serving pods podLabels: {} \ No newline at end of file From 0e809c2c86a8687397b54a9e073d6d2abcafd35f Mon Sep 17 00:00:00 2001 From: NBor Date: Tue, 10 May 2022 15:42:31 -0600 Subject: [PATCH 58/87] feat: Adding SSL options for Postgres (#2644) * [feat] Allow SSL for Postgres Allow user to set SSL options in the feature_story.yml file for the offline, online, and registry sections Signed-off-by: Neil Borle * [docs] SSL for Postgres Updated the reference docs for offline/online stores to describe the SSL options available Signed-off-by: Neil Borle Co-authored-by: Neil Borle --- docs/reference/offline-stores/postgres.md | 6 ++++++ docs/reference/online-stores/postgres.md | 6 ++++++ .../registry_stores/contrib/postgres/registry_store.py | 10 ++++++++++ .../feast/infra/utils/postgres/connection_utils.py | 4 ++++ .../feast/infra/utils/postgres/postgres_config.py | 6 ++++++ 5 files changed, 32 insertions(+) diff --git a/docs/reference/offline-stores/postgres.md b/docs/reference/offline-stores/postgres.md index b64b2350caa..7d04ac5843a 100644 --- a/docs/reference/offline-stores/postgres.md +++ b/docs/reference/offline-stores/postgres.md @@ -13,6 +13,8 @@ The PostgreSQL offline store is an offline store that provides support for readi * `to_df` to retrieve the pandas dataframe. * `to_arrow` to retrieve the dataframe as a PyArrow table. +* sslmode, sslkey_path, sslcert_path, and sslrootcert_path are optional + ## Example {% code title="feature_store.yaml" %} @@ -28,6 +30,10 @@ offline_store: db_schema: DB_SCHEMA user: DB_USERNAME password: DB_PASSWORD + sslmode: verify-ca + sslkey_path: /path/to/client-key.pem + sslcert_path: /path/to/client-cert.pem + sslrootcert_path: /path/to/server-ca.pem online_store: path: data/online_store.db ``` diff --git a/docs/reference/online-stores/postgres.md b/docs/reference/online-stores/postgres.md index 917673f278c..3e507c70fc7 100644 --- a/docs/reference/online-stores/postgres.md +++ b/docs/reference/online-stores/postgres.md @@ -6,6 +6,8 @@ The PostgreSQL online store provides support for materializing feature values in * Only the latest feature values are persisted +* sslmode, sslkey_path, sslcert_path, and sslrootcert_path are optional + ## Example {% code title="feature_store.yaml" %} @@ -21,6 +23,10 @@ online_store: db_schema: DB_SCHEMA user: DB_USERNAME password: DB_PASSWORD + sslmode: verify-ca + sslkey_path: /path/to/client-key.pem + sslcert_path: /path/to/client-cert.pem + sslrootcert_path: /path/to/server-ca.pem ``` {% endcode %} diff --git a/sdk/python/feast/infra/registry_stores/contrib/postgres/registry_store.py b/sdk/python/feast/infra/registry_stores/contrib/postgres/registry_store.py index 6b0ae1910dd..b3c0c6bd365 100644 --- a/sdk/python/feast/infra/registry_stores/contrib/postgres/registry_store.py +++ b/sdk/python/feast/infra/registry_stores/contrib/postgres/registry_store.py @@ -1,3 +1,5 @@ +from typing import Optional + import psycopg2 from psycopg2 import sql @@ -15,6 +17,10 @@ class PostgresRegistryConfig(RegistryConfig): db_schema: str user: str password: str + sslmode: Optional[str] + sslkey_path: Optional[str] + sslcert_path: Optional[str] + sslrootcert_path: Optional[str] class PostgreSQLRegistryStore(RegistryStore): @@ -26,6 +32,10 @@ def __init__(self, config: PostgresRegistryConfig, registry_path: str): db_schema=config.db_schema, user=config.user, password=config.password, + sslmode=getattr(config, "sslmode", None), + sslkey_path=getattr(config, "sslkey_path", None), + sslcert_path=getattr(config, "sslcert_path", None), + sslrootcert_path=getattr(config, "sslrootcert_path", None), ) self.table_name = config.path self.cache_ttl_seconds = config.cache_ttl_seconds diff --git a/sdk/python/feast/infra/utils/postgres/connection_utils.py b/sdk/python/feast/infra/utils/postgres/connection_utils.py index c3a7c913d4c..6dbb4a4bc01 100644 --- a/sdk/python/feast/infra/utils/postgres/connection_utils.py +++ b/sdk/python/feast/infra/utils/postgres/connection_utils.py @@ -17,6 +17,10 @@ def _get_conn(config: PostgreSQLConfig): port=int(config.port), user=config.user, password=config.password, + sslmode=config.sslmode, + sslkey=config.sslkey_path, + sslcert=config.sslcert_path, + sslrootcert=config.sslrootcert_path, options="-c search_path={}".format(config.db_schema or config.user), ) return conn diff --git a/sdk/python/feast/infra/utils/postgres/postgres_config.py b/sdk/python/feast/infra/utils/postgres/postgres_config.py index c7a581f0722..f22cc6c204e 100644 --- a/sdk/python/feast/infra/utils/postgres/postgres_config.py +++ b/sdk/python/feast/infra/utils/postgres/postgres_config.py @@ -1,3 +1,5 @@ +from typing import Optional + from pydantic import StrictStr from feast.repo_config import FeastConfigBaseModel @@ -10,3 +12,7 @@ class PostgreSQLConfig(FeastConfigBaseModel): db_schema: StrictStr = "public" user: StrictStr password: StrictStr + sslmode: Optional[StrictStr] = None + sslkey_path: Optional[StrictStr] = None + sslcert_path: Optional[StrictStr] = None + sslrootcert_path: Optional[StrictStr] = None From 30e0bf3ef249d6e31450151701a5994012586934 Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Tue, 10 May 2022 14:45:45 -0700 Subject: [PATCH 59/87] chore: Make contrib test pluggable (#2654) * make contrib test plugable Signed-off-by: Oleksii Moskalenko * no autouse Signed-off-by: Oleksii Moskalenko * pass request Signed-off-by: Oleksii Moskalenko * fix fixture name Signed-off-by: Oleksii Moskalenko * publish trino fixture on package level Signed-off-by: Oleksii Moskalenko * format Signed-off-by: Oleksii Moskalenko * disable some tests for contrib tests run Signed-off-by: Oleksii Moskalenko * address comments Signed-off-by: Oleksii Moskalenko --- Makefile | 16 +- .../contrib/contrib_repo_configuration.py | 10 +- .../postgres_offline_store/tests/__init__.py | 1 + .../tests/data_source.py | 122 ++++++++++++ .../contrib/postgres_repo_configuration.py | 6 +- .../spark_offline_store/tests/__init__.py | 0 .../spark_offline_store/tests/data_source.py} | 0 .../test_config/manual_tests.py | 6 +- .../trino_offline_store/tests/__init__.py | 1 + .../tests}/catalog/memory.properties | 0 .../trino_offline_store/tests/data_source.py} | 58 +++--- .../infra/online_stores/contrib/postgres.py | 2 +- sdk/python/tests/conftest.py | 112 +---------- .../integration/e2e/test_go_feature_server.py | 2 +- .../e2e/test_python_feature_server.py | 109 +++++----- .../feature_repos/repo_configuration.py | 10 +- .../universal/data_sources/postgres.py | 186 ------------------ .../universal/online_store/datastore.py | 2 +- .../universal/online_store/dynamodb.py | 2 +- .../universal/online_store/hbase.py | 2 +- .../universal/online_store/redis.py | 2 +- .../universal/online_store_creator.py | 2 +- .../registration/test_universal_types.py | 1 + 23 files changed, 255 insertions(+), 397 deletions(-) create mode 100644 sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/__init__.py create mode 100644 sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/data_source.py create mode 100644 sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/tests/__init__.py rename sdk/python/{tests/integration/feature_repos/universal/data_sources/spark_data_source_creator.py => feast/infra/offline_stores/contrib/spark_offline_store/tests/data_source.py} (100%) create mode 100644 sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/__init__.py rename sdk/python/{tests/integration/feature_repos/universal/data_sources => feast/infra/offline_stores/contrib/trino_offline_store/tests}/catalog/memory.properties (100%) rename sdk/python/{tests/integration/feature_repos/universal/data_sources/trino.py => feast/infra/offline_stores/contrib/trino_offline_store/tests/data_source.py} (72%) delete mode 100644 sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py diff --git a/Makefile b/Makefile index dec93545297..41e91667565 100644 --- a/Makefile +++ b/Makefile @@ -72,11 +72,25 @@ test-python-integration-container: FEAST_USAGE=False IS_TEST=True FEAST_LOCAL_ONLINE_CONTAINER=True python -m pytest -n 8 --integration sdk/python/tests test-python-universal-contrib: - PYTHONPATH='.' FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.contrib_repo_configuration FEAST_USAGE=False IS_TEST=True python -m pytest -n 8 --integration --universal sdk/python/tests + PYTHONPATH='.' \ + FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.contrib_repo_configuration \ + PYTEST_PLUGINS=feast.infra.offline_stores.contrib.trino_offline_store.tests \ + FEAST_USAGE=False IS_TEST=True \ + python -m pytest -n 8 --integration --universal \ + -k "not test_historical_retrieval_fails_on_validation and \ + not test_historical_retrieval_with_validation and \ + not test_historical_features_persisting and \ + not test_historical_retrieval_fails_on_validation and \ + not test_universal_cli and \ + not test_go_feature_server and \ + not test_feature_logging and \ + not test_universal_types" \ + sdk/python/tests test-python-universal-postgres: PYTHONPATH='.' \ FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.postgres_repo_configuration \ + PYTEST_PLUGINS=sdk.python.feast.infra.offline_stores.contrib.postgres_offline_store.tests \ FEAST_USAGE=False \ IS_TEST=True \ python -m pytest -x --integration --universal \ diff --git a/sdk/python/feast/infra/offline_stores/contrib/contrib_repo_configuration.py b/sdk/python/feast/infra/offline_stores/contrib/contrib_repo_configuration.py index 370ed0f47cb..0346f6cf3a7 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/contrib_repo_configuration.py +++ b/sdk/python/feast/infra/offline_stores/contrib/contrib_repo_configuration.py @@ -1,12 +1,12 @@ -from tests.integration.feature_repos.integration_test_repo_config import ( - IntegrationTestRepoConfig, -) -from tests.integration.feature_repos.universal.data_sources.spark_data_source_creator import ( +from feast.infra.offline_stores.contrib.spark_offline_store.tests.data_source import ( SparkDataSourceCreator, ) -from tests.integration.feature_repos.universal.data_sources.trino import ( +from feast.infra.offline_stores.contrib.trino_offline_store.tests.data_source import ( TrinoSourceCreator, ) +from tests.integration.feature_repos.integration_test_repo_config import ( + IntegrationTestRepoConfig, +) FULL_REPO_CONFIGS = [ IntegrationTestRepoConfig(offline_store_creator=SparkDataSourceCreator), diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/__init__.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/__init__.py new file mode 100644 index 00000000000..ba9bbbfd257 --- /dev/null +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/__init__.py @@ -0,0 +1 @@ +from .data_source import postgres_container # noqa diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/data_source.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/data_source.py new file mode 100644 index 00000000000..6671a477654 --- /dev/null +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/data_source.py @@ -0,0 +1,122 @@ +import logging +from typing import Dict, Optional + +import pandas as pd +import pytest +from testcontainers.core.container import DockerContainer +from testcontainers.core.waiting_utils import wait_for_logs + +from feast.data_source import DataSource +from feast.infra.offline_stores.contrib.postgres_offline_store.postgres import ( + PostgreSQLOfflineStoreConfig, + PostgreSQLSource, +) +from feast.infra.utils.postgres.connection_utils import df_to_postgres_table +from tests.integration.feature_repos.universal.data_source_creator import ( + DataSourceCreator, +) +from tests.integration.feature_repos.universal.online_store_creator import ( + OnlineStoreCreator, +) + +logger = logging.getLogger(__name__) + +POSTGRES_USER = "test" +POSTGRES_PASSWORD = "test" +POSTGRES_DB = "test" + + +@pytest.fixture(scope="session") +def postgres_container(): + container = ( + DockerContainer("postgres:latest") + .with_exposed_ports(5432) + .with_env("POSTGRES_USER", POSTGRES_USER) + .with_env("POSTGRES_PASSWORD", POSTGRES_PASSWORD) + .with_env("POSTGRES_DB", POSTGRES_DB) + ) + + container.start() + + log_string_to_wait_for = "database system is ready to accept connections" + waited = wait_for_logs( + container=container, predicate=log_string_to_wait_for, timeout=30, interval=10, + ) + logger.info("Waited for %s seconds until postgres container was up", waited) + + yield container + container.stop() + + +class PostgreSQLDataSourceCreator(DataSourceCreator, OnlineStoreCreator): + def __init__( + self, project_name: str, fixture_request: pytest.FixtureRequest, **kwargs + ): + super().__init__(project_name,) + + self.project_name = project_name + self.container = fixture_request.getfixturevalue("postgres_container") + if not self.container: + raise RuntimeError( + "In order to use this data source " + "'feast.infra.offline_stores.contrib.postgres_offline_store.tests' " + "must be include into pytest plugins" + ) + + self.offline_store_config = PostgreSQLOfflineStoreConfig( + type="postgres", + host="localhost", + port=self.container.get_exposed_port(5432), + database=self.container.env["POSTGRES_DB"], + db_schema="public", + user=self.container.env["POSTGRES_USER"], + password=self.container.env["POSTGRES_PASSWORD"], + ) + + def create_data_source( + self, + df: pd.DataFrame, + destination_name: str, + suffix: Optional[str] = None, + timestamp_field="ts", + created_timestamp_column="created_ts", + field_mapping: Dict[str, str] = None, + ) -> DataSource: + destination_name = self.get_prefixed_table_name(destination_name) + + if self.offline_store_config: + df_to_postgres_table(self.offline_store_config, df, destination_name) + + return PostgreSQLSource( + name=destination_name, + query=f"SELECT * FROM {destination_name}", + timestamp_field=timestamp_field, + created_timestamp_column=created_timestamp_column, + field_mapping=field_mapping or {"ts_1": "ts"}, + ) + + def create_offline_store_config(self) -> PostgreSQLOfflineStoreConfig: + assert self.offline_store_config + return self.offline_store_config + + def get_prefixed_table_name(self, suffix: str) -> str: + return f"{self.project_name}_{suffix}" + + def create_online_store(self) -> Dict[str, str]: + assert self.container + return { + "type": "postgres", + "host": "localhost", + "port": self.container.get_exposed_port(5432), + "database": POSTGRES_DB, + "db_schema": "feature_store", + "user": POSTGRES_USER, + "password": POSTGRES_PASSWORD, + } + + def create_saved_dataset_destination(self): + # FIXME: ... + return None + + def teardown(self): + pass diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py index bb7fd0caf5e..288c0574b1e 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py @@ -1,9 +1,9 @@ +from feast.infra.offline_stores.contrib.postgres_offline_store.tests.data_source import ( + PostgreSQLDataSourceCreator, +) from tests.integration.feature_repos.integration_test_repo_config import ( IntegrationTestRepoConfig, ) -from tests.integration.feature_repos.universal.data_sources.postgres import ( - PostgreSQLDataSourceCreator, -) FULL_REPO_CONFIGS = [ IntegrationTestRepoConfig( diff --git a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/tests/__init__.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/tests/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/spark_data_source_creator.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/tests/data_source.py similarity index 100% rename from sdk/python/tests/integration/feature_repos/universal/data_sources/spark_data_source_creator.py rename to sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/tests/data_source.py diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/test_config/manual_tests.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/test_config/manual_tests.py index 5228ed84a9d..9c73f018197 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/test_config/manual_tests.py +++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/test_config/manual_tests.py @@ -1,9 +1,9 @@ +from feast.infra.offline_stores.contrib.trino_offline_store.tests.data_source import ( + TrinoSourceCreator, +) from tests.integration.feature_repos.integration_test_repo_config import ( IntegrationTestRepoConfig, ) -from tests.integration.feature_repos.universal.data_sources.trino import ( - TrinoSourceCreator, -) FULL_REPO_CONFIGS = [ IntegrationTestRepoConfig( diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/__init__.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/__init__.py new file mode 100644 index 00000000000..b3190925d57 --- /dev/null +++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/__init__.py @@ -0,0 +1 @@ +from .data_source import trino_container # noqa diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/catalog/memory.properties b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/catalog/memory.properties similarity index 100% rename from sdk/python/tests/integration/feature_repos/universal/data_sources/catalog/memory.properties rename to sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/catalog/memory.properties diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/trino.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/data_source.py similarity index 72% rename from sdk/python/tests/integration/feature_repos/universal/data_sources/trino.py rename to sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/data_source.py index ddcfafd31a7..f2b9f785a05 100644 --- a/sdk/python/tests/integration/feature_repos/universal/data_sources/trino.py +++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/data_source.py @@ -3,6 +3,7 @@ from typing import Dict, List, Optional import pandas as pd +import pytest from testcontainers.core.container import DockerContainer from testcontainers.core.waiting_utils import wait_for_logs @@ -24,46 +25,49 @@ ) +@pytest.fixture(scope="session") +def trino_container(): + current_file = pathlib.Path(__file__).parent.resolve() + catalog_dir = current_file.parent.joinpath("catalog") + container = ( + DockerContainer("trinodb/trino:376") + .with_volume_mapping(catalog_dir, "/etc/catalog/") + .with_exposed_ports("8080") + ) + + container.start() + + log_string_to_wait_for = "SERVER STARTED" + wait_for_logs(container=container, predicate=log_string_to_wait_for, timeout=30) + + yield container + + container.stop() + + class TrinoSourceCreator(DataSourceCreator): tables: List[str] = [] - def __init__(self, project_name: str, **kwargs): + def __init__( + self, project_name: str, fixture_request: pytest.FixtureRequest, **kwargs + ): super().__init__(project_name) self.tables_created: List[str] = [] - - if "offline_container" not in kwargs or not kwargs.get( - "offline_container", None - ): - # If we don't get an offline container provided, we try to create it on the fly. - # the problem here is that each test creates its own conatiner, which basically - # browns out developer laptops. - current_file = pathlib.Path(__file__).parent.resolve() - catalog_dir = current_file.parent.joinpath("catalog") - self.container = ( - DockerContainer("trinodb/trino:376") - .with_volume_mapping(catalog_dir, "/etc/catalog/") - .with_exposed_ports("8080") + self.container = fixture_request.getfixturevalue("trino_container") + if not self.container: + raise RuntimeError( + "In order to use this data source " + "'feast.infra.offline_stores.contrib.trino_offline_store.tests' " + "must be include into pytest plugins" ) - - self.container.start() - self.provided_container = False - log_string_to_wait_for = "SERVER STARTED" - wait_for_logs( - container=self.container, predicate=log_string_to_wait_for, timeout=30 - ) - else: - self.provided_container = True - self.container = kwargs["offline_container"] - self.exposed_port = self.container.get_exposed_port("8080") self.client = Trino( user="user", catalog="memory", host="localhost", port=self.exposed_port, ) def teardown(self): - if not self.provided_container: - self.container.stop() + pass def create_data_source( self, diff --git a/sdk/python/feast/infra/online_stores/contrib/postgres.py b/sdk/python/feast/infra/online_stores/contrib/postgres.py index 14ff806e4bd..81727067f5a 100644 --- a/sdk/python/feast/infra/online_stores/contrib/postgres.py +++ b/sdk/python/feast/infra/online_stores/contrib/postgres.py @@ -131,7 +131,7 @@ def online_read( res = {} for feature_name, value_bin, event_ts in value: val = ValueProto() - val.ParseFromString(value_bin) + val.ParseFromString(bytes(value_bin)) res[feature_name] = val result.append((event_ts, res)) else: diff --git a/sdk/python/tests/conftest.py b/sdk/python/tests/conftest.py index b57152c82d9..7c934d620e5 100644 --- a/sdk/python/tests/conftest.py +++ b/sdk/python/tests/conftest.py @@ -13,7 +13,6 @@ # limitations under the License. import logging import multiprocessing -import pathlib import time from datetime import datetime, timedelta from multiprocessing import Process @@ -23,8 +22,6 @@ import pandas as pd import pytest from _pytest.nodes import Item -from testcontainers.core.container import DockerContainer -from testcontainers.core.waiting_utils import wait_for_logs from feast import FeatureStore from tests.data.data_creator import create_dataset @@ -164,110 +161,13 @@ def start_test_local_server(repo_path: str, port: int): fs.serve("localhost", port, no_access_log=True) -class TrinoContainerSingleton: - current_file = pathlib.Path(__file__).resolve() - catalog_dir = current_file.parent.joinpath( - "integration/feature_repos/universal/data_sources/catalog" - ) - container = None - is_running = False - - @classmethod - def get_singleton(cls): - if not cls.is_running: - cls.container = ( - DockerContainer("trinodb/trino:376") - .with_volume_mapping(cls.catalog_dir, "/etc/catalog/") - .with_exposed_ports("8080") - ) - - cls.container.start() - log_string_to_wait_for = "SERVER STARTED" - wait_for_logs( - container=cls.container, predicate=log_string_to_wait_for, timeout=30 - ) - cls.is_running = True - return cls.container - - @classmethod - def teardown(cls): - if cls.container: - cls.container.stop() - - -@pytest.fixture(scope="session") -def trino_fixture(request): - def teardown(): - TrinoContainerSingleton.teardown() - - request.addfinalizer(teardown) - return TrinoContainerSingleton - - -class PostgresContainerSingleton: - container = None - is_running = False - - postgres_user = "test" - postgres_password = "test" - postgres_db = "test" - - @classmethod - def get_singleton(cls): - if not cls.is_running: - cls.container = ( - DockerContainer("postgres:latest") - .with_exposed_ports(5432) - .with_env("POSTGRES_USER", cls.postgres_user) - .with_env("POSTGRES_PASSWORD", cls.postgres_password) - .with_env("POSTGRES_DB", cls.postgres_db) - ) - - cls.container.start() - log_string_to_wait_for = "database system is ready to accept connections" - waited = wait_for_logs( - container=cls.container, - predicate=log_string_to_wait_for, - timeout=30, - interval=10, - ) - logger.info("Waited for %s seconds until postgres container was up", waited) - cls.is_running = True - return cls.container - - @classmethod - def teardown(cls): - if cls.container: - cls.container.stop() - - -@pytest.fixture(scope="session") -def postgres_fixture(request): - def teardown(): - PostgresContainerSingleton.teardown() - - request.addfinalizer(teardown) - return PostgresContainerSingleton - - @pytest.fixture( params=FULL_REPO_CONFIGS, scope="session", ids=[str(c) for c in FULL_REPO_CONFIGS] ) -def environment(request, worker_id: str, trino_fixture, postgres_fixture): - if "TrinoSourceCreator" in request.param.offline_store_creator.__name__: - e = construct_test_environment( - request.param, - worker_id=worker_id, - offline_container=trino_fixture.get_singleton(), - ) - elif "PostgresSourceCreator" in request.param.offline_store_creator.__name__: - e = construct_test_environment( - request.param, - worker_id=worker_id, - offline_container=postgres_fixture.get_singleton(), - ) - else: - e = construct_test_environment(request.param, worker_id=worker_id) +def environment(request, worker_id: str): + e = construct_test_environment( + request.param, worker_id=worker_id, fixture_request=request + ) proc = Process( target=start_test_local_server, args=(e.feature_store.repo_path, e.get_local_server_port()), @@ -297,7 +197,9 @@ def cleanup(): ) def local_redis_environment(request, worker_id): e = construct_test_environment( - IntegrationTestRepoConfig(online_store=request.param), worker_id=worker_id + IntegrationTestRepoConfig(online_store=request.param), + worker_id=worker_id, + fixture_request=request, ) def cleanup(): diff --git a/sdk/python/tests/integration/e2e/test_go_feature_server.py b/sdk/python/tests/integration/e2e/test_go_feature_server.py index a45a101f485..6d165b86a52 100644 --- a/sdk/python/tests/integration/e2e/test_go_feature_server.py +++ b/sdk/python/tests/integration/e2e/test_go_feature_server.py @@ -62,7 +62,7 @@ scope="session", ) def local_environment(request): - e = construct_test_environment(request.param) + e = construct_test_environment(request.param, fixture_request=request) def cleanup(): e.feature_store.teardown() diff --git a/sdk/python/tests/integration/e2e/test_python_feature_server.py b/sdk/python/tests/integration/e2e/test_python_feature_server.py index a3048300a34..36edc8df444 100644 --- a/sdk/python/tests/integration/e2e/test_python_feature_server.py +++ b/sdk/python/tests/integration/e2e/test_python_feature_server.py @@ -1,4 +1,3 @@ -import contextlib import json from datetime import datetime from typing import List @@ -25,64 +24,62 @@ @pytest.mark.integration @pytest.mark.universal -def test_get_online_features(): - with setup_python_fs_client() as client: - request_data_dict = { - "features": [ - "driver_stats:conv_rate", - "driver_stats:acc_rate", - "driver_stats:avg_daily_trips", - ], - "entities": {"driver_id": [5001, 5002]}, - } - response = client.post( - "/get-online-features", data=json.dumps(request_data_dict) - ) +def test_get_online_features(python_fs_client): + request_data_dict = { + "features": [ + "driver_stats:conv_rate", + "driver_stats:acc_rate", + "driver_stats:avg_daily_trips", + ], + "entities": {"driver_id": [5001, 5002]}, + } + response = python_fs_client.post( + "/get-online-features", data=json.dumps(request_data_dict) + ) - # Check entities and features are present - parsed_response = json.loads(response.text) - assert "metadata" in parsed_response - metadata = parsed_response["metadata"] - expected_features = ["driver_id", "conv_rate", "acc_rate", "avg_daily_trips"] - response_feature_names = metadata["feature_names"] - assert len(response_feature_names) == len(expected_features) - for expected_feature in expected_features: - assert expected_feature in response_feature_names - assert "results" in parsed_response - results = parsed_response["results"] - for result in results: - # Same order as in metadata - assert len(result["statuses"]) == 2 # Requested two entities - for status in result["statuses"]: - assert status == "PRESENT" - results_driver_id_index = response_feature_names.index("driver_id") - assert ( - results[results_driver_id_index]["values"] - == request_data_dict["entities"]["driver_id"] - ) + # Check entities and features are present + parsed_response = json.loads(response.text) + assert "metadata" in parsed_response + metadata = parsed_response["metadata"] + expected_features = ["driver_id", "conv_rate", "acc_rate", "avg_daily_trips"] + response_feature_names = metadata["feature_names"] + assert len(response_feature_names) == len(expected_features) + for expected_feature in expected_features: + assert expected_feature in response_feature_names + assert "results" in parsed_response + results = parsed_response["results"] + for result in results: + # Same order as in metadata + assert len(result["statuses"]) == 2 # Requested two entities + for status in result["statuses"]: + assert status == "PRESENT" + results_driver_id_index = response_feature_names.index("driver_id") + assert ( + results[results_driver_id_index]["values"] + == request_data_dict["entities"]["driver_id"] + ) @pytest.mark.integration @pytest.mark.universal -def test_push(): - with setup_python_fs_client() as client: - initial_temp = get_temperatures(client, location_ids=[1])[0] - json_data = json.dumps( - { - "push_source_name": "location_stats_push_source", - "df": { - "location_id": [1], - "temperature": [initial_temp * 100], - "event_timestamp": [str(datetime.utcnow())], - "created": [str(datetime.utcnow())], - }, - } - ) - response = client.post("/push", data=json_data,) +def test_push(python_fs_client): + initial_temp = get_temperatures(python_fs_client, location_ids=[1])[0] + json_data = json.dumps( + { + "push_source_name": "location_stats_push_source", + "df": { + "location_id": [1], + "temperature": [initial_temp * 100], + "event_timestamp": [str(datetime.utcnow())], + "created": [str(datetime.utcnow())], + }, + } + ) + response = python_fs_client.post("/push", data=json_data,) - # Check new pushed temperature is fetched - assert response.status_code == 200 - assert get_temperatures(client, location_ids=[1]) == [initial_temp * 100] + # Check new pushed temperature is fetched + assert response.status_code == 200 + assert get_temperatures(python_fs_client, location_ids=[1]) == [initial_temp * 100] def get_temperatures(client, location_ids: List[int]): @@ -101,10 +98,10 @@ def get_temperatures(client, location_ids: List[int]): return results[results_temperature_index]["values"] -@contextlib.contextmanager -def setup_python_fs_client(): +@pytest.fixture +def python_fs_client(request): config = IntegrationTestRepoConfig() - environment = construct_test_environment(config) + environment = construct_test_environment(config, fixture_request=request) fs = environment.feature_store try: entities, datasets, data_sources = construct_universal_test_data(environment) diff --git a/sdk/python/tests/integration/feature_repos/repo_configuration.py b/sdk/python/tests/integration/feature_repos/repo_configuration.py index c636c2a62de..7b596bd764a 100644 --- a/sdk/python/tests/integration/feature_repos/repo_configuration.py +++ b/sdk/python/tests/integration/feature_repos/repo_configuration.py @@ -11,8 +11,8 @@ from typing import Any, List, Optional, Tuple, Union import pandas as pd +import pytest import yaml -from testcontainers.core.container import DockerContainer from feast import FeatureStore, FeatureView, OnDemandFeatureView, driver_test_data from feast.constants import FULL_REPO_CONFIGS_MODULE_ENV_NAME @@ -393,9 +393,9 @@ def table_name_from_data_source(ds: DataSource) -> Optional[str]: def construct_test_environment( test_repo_config: IntegrationTestRepoConfig, + fixture_request: Optional[pytest.FixtureRequest], test_suite_name: str = "integration_test", worker_id: str = "worker_id", - offline_container: Optional[DockerContainer] = None, ) -> Environment: _uuid = str(uuid.uuid4()).replace("-", "")[:6] @@ -406,12 +406,14 @@ def construct_test_environment( project = f"{test_suite_name}_{run_id}_{run_num}" offline_creator: DataSourceCreator = test_repo_config.offline_store_creator( - project, offline_container=offline_container + project, fixture_request=fixture_request ) offline_store_config = offline_creator.create_offline_store_config() if test_repo_config.online_store_creator: - online_creator = test_repo_config.online_store_creator(project) + online_creator = test_repo_config.online_store_creator( + project, fixture_request=fixture_request + ) online_store = ( test_repo_config.online_store ) = online_creator.create_online_store() diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py deleted file mode 100644 index 134234f93c8..00000000000 --- a/sdk/python/tests/integration/feature_repos/universal/data_sources/postgres.py +++ /dev/null @@ -1,186 +0,0 @@ -import logging -from typing import Dict, Optional - -import pandas as pd -from testcontainers.core.container import DockerContainer -from testcontainers.core.waiting_utils import wait_for_logs - -from feast.data_source import DataSource -from feast.infra.offline_stores.contrib.postgres_offline_store.postgres import ( - PostgreSQLOfflineStoreConfig, - PostgreSQLSource, -) -from feast.infra.utils.postgres.connection_utils import df_to_postgres_table -from feast.repo_config import FeastConfigBaseModel -from tests.integration.feature_repos.universal.data_source_creator import ( - DataSourceCreator, -) -from tests.integration.feature_repos.universal.online_store_creator import ( - OnlineStoreCreator, -) - -logger = logging.getLogger(__name__) - - -class PostgresSourceCreatorSingleton: - postgres_user = "test" - postgres_password = "test" - postgres_db = "test" - - running = False - - project_name = None - container = None - provided_container = None - - offline_store_config = None - - @classmethod - def initialize(cls, project_name: str, *args, **kwargs): - cls.project_name = project_name - - if "offline_container" not in kwargs or not kwargs.get( - "offline_container", None - ): - # If we don't get an offline container provided, we try to create it on the fly. - # the problem here is that each test creates its own container, which basically - # browns out developer laptops. - cls.container = ( - DockerContainer("postgres:latest") - .with_exposed_ports(5432) - .with_env("POSTGRES_USER", cls.postgres_user) - .with_env("POSTGRES_PASSWORD", cls.postgres_password) - .with_env("POSTGRES_DB", cls.postgres_db) - ) - - cls.container.start() - cls.provided_container = False - log_string_to_wait_for = "database system is ready to accept connections" - waited = wait_for_logs( - container=cls.container, - predicate=log_string_to_wait_for, - timeout=30, - interval=10, - ) - logger.info("Waited for %s seconds until postgres container was up", waited) - cls.running = True - else: - cls.provided_container = True - cls.container = kwargs["offline_container"] - - cls.offline_store_config = PostgreSQLOfflineStoreConfig( - type="postgres", - host="localhost", - port=cls.container.get_exposed_port(5432), - database=cls.container.env["POSTGRES_DB"], - db_schema="public", - user=cls.container.env["POSTGRES_USER"], - password=cls.container.env["POSTGRES_PASSWORD"], - ) - - @classmethod - def create_data_source( - cls, - df: pd.DataFrame, - destination_name: str, - suffix: Optional[str] = None, - timestamp_field="ts", - created_timestamp_column="created_ts", - field_mapping: Dict[str, str] = None, - ) -> DataSource: - - destination_name = cls.get_prefixed_table_name(destination_name) - - if cls.offline_store_config: - df_to_postgres_table(cls.offline_store_config, df, destination_name) - - return PostgreSQLSource( - name=destination_name, - query=f"SELECT * FROM {destination_name}", - timestamp_field=timestamp_field, - created_timestamp_column=created_timestamp_column, - field_mapping=field_mapping or {"ts_1": "ts"}, - ) - - @classmethod - def create_offline_store_config(cls) -> PostgreSQLOfflineStoreConfig: - assert cls.offline_store_config - return cls.offline_store_config - - @classmethod - def get_prefixed_table_name(cls, suffix: str) -> str: - return f"{cls.project_name}_{suffix}" - - @classmethod - def create_online_store(cls) -> Dict[str, str]: - assert cls.container - return { - "type": "postgres", - "host": "localhost", - "port": cls.container.get_exposed_port(5432), - "database": cls.postgres_db, - "db_schema": "feature_store", - "user": cls.postgres_user, - "password": cls.postgres_password, - } - - @classmethod - def create_saved_dataset_destination(cls): - # FIXME: ... - return None - - @classmethod - def teardown(cls): - if not cls.provided_container and cls.running: - cls.container.stop() - cls.running = False - cls.container = None - cls.project = None - - -class PostgreSQLDataSourceCreator(DataSourceCreator, OnlineStoreCreator): - - postgres_user = "test" - postgres_password = "test" - postgres_db = "test" - - running = False - - def __init__(self, project_name: str, *args, **kwargs): - super().__init__(project_name) - PostgresSourceCreatorSingleton.initialize(project_name, args, kwargs) - - def create_data_source( - self, - df: pd.DataFrame, - destination_name: str, - suffix: Optional[str] = None, - timestamp_field="ts", - created_timestamp_column="created_ts", - field_mapping: Dict[str, str] = None, - ) -> DataSource: - - return PostgresSourceCreatorSingleton.create_data_source( - df, - destination_name, - suffix, - timestamp_field, - created_timestamp_column, - field_mapping, - ) - - def create_offline_store_config(self) -> FeastConfigBaseModel: - return PostgresSourceCreatorSingleton.create_offline_store_config() - - def get_prefixed_table_name(self, suffix: str) -> str: - return PostgresSourceCreatorSingleton.get_prefixed_table_name(suffix) - - def create_online_store(self) -> Dict[str, str]: - return PostgresSourceCreatorSingleton.create_online_store() - - def create_saved_dataset_destination(self): - # FIXME: ... - return None - - def teardown(self): - PostgresSourceCreatorSingleton.teardown() diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store/datastore.py b/sdk/python/tests/integration/feature_repos/universal/online_store/datastore.py index 52851e80d88..6067a1ff4b8 100644 --- a/sdk/python/tests/integration/feature_repos/universal/online_store/datastore.py +++ b/sdk/python/tests/integration/feature_repos/universal/online_store/datastore.py @@ -11,7 +11,7 @@ class DatastoreOnlineStoreCreator(OnlineStoreCreator): - def __init__(self, project_name: str): + def __init__(self, project_name: str, **kwargs): super().__init__(project_name) self.container = ( DockerContainer( diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store/dynamodb.py b/sdk/python/tests/integration/feature_repos/universal/online_store/dynamodb.py index e4d8e0c3d02..473b7acee97 100644 --- a/sdk/python/tests/integration/feature_repos/universal/online_store/dynamodb.py +++ b/sdk/python/tests/integration/feature_repos/universal/online_store/dynamodb.py @@ -9,7 +9,7 @@ class DynamoDBOnlineStoreCreator(OnlineStoreCreator): - def __init__(self, project_name: str): + def __init__(self, project_name: str, **kwargs): super().__init__(project_name) self.container = DockerContainer( "amazon/dynamodb-local:latest" diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store/hbase.py b/sdk/python/tests/integration/feature_repos/universal/online_store/hbase.py index e53435bc0f6..ecaace87097 100644 --- a/sdk/python/tests/integration/feature_repos/universal/online_store/hbase.py +++ b/sdk/python/tests/integration/feature_repos/universal/online_store/hbase.py @@ -9,7 +9,7 @@ class HbaseOnlineStoreCreator(OnlineStoreCreator): - def __init__(self, project_name: str): + def __init__(self, project_name: str, **kwargs): super().__init__(project_name) self.container = DockerContainer("harisekhon/hbase").with_exposed_ports("9090") diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store/redis.py b/sdk/python/tests/integration/feature_repos/universal/online_store/redis.py index 073760f5145..49951876652 100644 --- a/sdk/python/tests/integration/feature_repos/universal/online_store/redis.py +++ b/sdk/python/tests/integration/feature_repos/universal/online_store/redis.py @@ -9,7 +9,7 @@ class RedisOnlineStoreCreator(OnlineStoreCreator): - def __init__(self, project_name: str): + def __init__(self, project_name: str, **kwargs): super().__init__(project_name) self.container = DockerContainer("redis").with_exposed_ports("6379") diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store_creator.py b/sdk/python/tests/integration/feature_repos/universal/online_store_creator.py index 0fa0dbed3e1..c3872ea697f 100644 --- a/sdk/python/tests/integration/feature_repos/universal/online_store_creator.py +++ b/sdk/python/tests/integration/feature_repos/universal/online_store_creator.py @@ -4,7 +4,7 @@ class OnlineStoreCreator(ABC): - def __init__(self, project_name: str): + def __init__(self, project_name: str, **kwargs): self.project_name = project_name def create_online_store(self) -> FeastConfigBaseModel: diff --git a/sdk/python/tests/integration/registration/test_universal_types.py b/sdk/python/tests/integration/registration/test_universal_types.py index 81fa0200fdd..b95745f9979 100644 --- a/sdk/python/tests/integration/registration/test_universal_types.py +++ b/sdk/python/tests/integration/registration/test_universal_types.py @@ -98,6 +98,7 @@ def get_fixtures(request): type_test_environment = construct_test_environment( test_repo_config=config.test_repo_config, test_suite_name=f"test_{test_project_id}", + fixture_request=request, ) config = request.param df = create_dataset( From 87c194c22b2732c7060a130bb8861eff0d168c0b Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Tue, 10 May 2022 19:21:24 -0400 Subject: [PATCH 60/87] fix: Infer features for feature services when they depend on feature views without schemas (#2653) * fix: Infer features for feature services when they depend on feature views that have no schema Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * lint Signed-off-by: Danny Chiao --- sdk/python/feast/feature_service.py | 33 +++++++++++++------ sdk/python/feast/feature_store.py | 14 ++++++-- .../registration/test_inference.py | 23 +++++++++++++ 3 files changed, 58 insertions(+), 12 deletions(-) diff --git a/sdk/python/feast/feature_service.py b/sdk/python/feast/feature_service.py index bfa48b3bf47..9490de38c93 100644 --- a/sdk/python/feast/feature_service.py +++ b/sdk/python/feast/feature_service.py @@ -39,6 +39,7 @@ class FeatureService: """ name: str + _features: List[Union[FeatureView, OnDemandFeatureView]] feature_view_projections: List[FeatureViewProjection] description: str tags: Dict[str, str] @@ -93,24 +94,36 @@ def __init__( _features = [] self.name = _name + self._features = _features self.feature_view_projections = [] + self.description = description + self.tags = tags or {} + self.owner = owner + self.created_timestamp = None + self.last_updated_timestamp = None + self.logging_config = logging_config + self.infer_features() - for feature_grouping in _features: + def infer_features(self, fvs_to_update: Optional[Dict[str, FeatureView]] = None): + self.feature_view_projections = [] + for feature_grouping in self._features: if isinstance(feature_grouping, BaseFeatureView): + # For feature services that depend on an unspecified feature view, apply inferred schema + if ( + fvs_to_update is not None + and len(feature_grouping.projection.features) == 0 + and feature_grouping.name in fvs_to_update + ): + feature_grouping.projection.features = fvs_to_update[ + feature_grouping.name + ].features self.feature_view_projections.append(feature_grouping.projection) else: raise ValueError( - f"The feature service {name} has been provided with an invalid type " + f"The feature service {self.name} has been provided with an invalid type " f'{type(feature_grouping)} as part of the "features" argument.)' ) - self.description = description - self.tags = tags or {} - self.owner = owner - self.created_timestamp = None - self.last_updated_timestamp = None - self.logging_config = logging_config - def __repr__(self): items = (f"{k} = {v}" for k, v in self.__dict__.items()) return f"<{self.__class__.__name__}({', '.join(items)})>" @@ -119,7 +132,7 @@ def __str__(self): return str(MessageToJson(self.to_proto())) def __hash__(self): - return hash((self.name)) + return hash(self.name) def __eq__(self, other): if not isinstance(other, FeatureService): diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 4b015e8ab82..115f0fd9716 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -475,8 +475,9 @@ def _make_inferences( entities_to_update: List[Entity], views_to_update: List[FeatureView], odfvs_to_update: List[OnDemandFeatureView], + feature_services_to_update: List[FeatureService], ): - """Makes inferences for entities, feature views, and odfvs.""" + """Makes inferences for entities, feature views, odfvs, and feature services.""" update_entities_with_inferred_types_from_feature_views( entities_to_update, views_to_update, self.config ) @@ -498,6 +499,10 @@ def _make_inferences( for odfv in odfvs_to_update: odfv.infer_features() + fvs_to_update_map = {view.name: view for view in views_to_update} + for feature_service in feature_services_to_update: + feature_service.infer_features(fvs_to_update=fvs_to_update_map) + @log_exceptions_and_usage def _plan( self, desired_repo_contents: RepoContents @@ -553,6 +558,7 @@ def _plan( desired_repo_contents.entities, desired_repo_contents.feature_views, desired_repo_contents.on_demand_feature_views, + desired_repo_contents.feature_services, ) # Compute the desired difference between the current objects in the registry and @@ -692,7 +698,11 @@ def apply( views_to_update, odfvs_to_update, request_views_to_update ) self._make_inferences( - data_sources_to_update, entities_to_update, views_to_update, odfvs_to_update + data_sources_to_update, + entities_to_update, + views_to_update, + odfvs_to_update, + services_to_update, ) # Handle all entityless feature views by using DUMMY_ENTITY as a placeholder entity. diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py index 8b719eb733d..b1fb509d753 100644 --- a/sdk/python/tests/integration/registration/test_inference.py +++ b/sdk/python/tests/integration/registration/test_inference.py @@ -7,6 +7,7 @@ BigQuerySource, Entity, Feature, + FeatureService, FileSource, RedshiftSource, RepoConfig, @@ -332,3 +333,25 @@ def test_update_feature_views_with_inferred_features(): ) assert len(feature_view_2.schema) == 1 assert len(feature_view_2.features) == 1 + + +def test_update_feature_services_with_inferred_features(simple_dataset_1): + with prep_file_source(df=simple_dataset_1, timestamp_field="ts_1") as file_source: + entity1 = Entity(name="test1", join_keys=["id_join_key"]) + feature_view_1 = FeatureView( + name="test1", entities=[entity1], source=file_source, + ) + feature_service = FeatureService(name="fs_1", features=[feature_view_1]) + assert len(feature_service.feature_view_projections) == 1 + assert len(feature_service.feature_view_projections[0].features) == 0 + + update_feature_views_with_inferred_features( + [feature_view_1], [entity1], RepoConfig(provider="local", project="test") + ) + feature_service.infer_features( + fvs_to_update={feature_view_1.name: feature_view_1} + ) + + assert len(feature_view_1.schema) == 3 + assert len(feature_view_1.features) == 3 + assert len(feature_service.feature_view_projections[0].features) == 3 From 479cd512213635551e70ae599564a898046461b2 Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Tue, 10 May 2022 16:22:22 -0700 Subject: [PATCH 61/87] fix: Feature logging to Redshift is broken (#2655) * reorder fields in log schema Signed-off-by: Oleksii Moskalenko * add comment Signed-off-by: Oleksii Moskalenko --- sdk/python/feast/feature_logging.py | 30 +++++++++++++++++------------ 1 file changed, 18 insertions(+), 12 deletions(-) diff --git a/sdk/python/feast/feature_logging.py b/sdk/python/feast/feature_logging.py index 70fab930bbf..e2982988366 100644 --- a/sdk/python/feast/feature_logging.py +++ b/sdk/python/feast/feature_logging.py @@ -52,17 +52,11 @@ def get_schema(self, registry: "Registry") -> pa.Schema: fields: Dict[str, pa.DataType] = {} for projection in self._feature_service.feature_view_projections: - for feature in projection.features: - fields[ - f"{projection.name_to_use()}__{feature.name}" - ] = FEAST_TYPE_TO_ARROW_TYPE[feature.dtype] - fields[ - f"{projection.name_to_use()}__{feature.name}__timestamp" - ] = PA_TIMESTAMP_TYPE - fields[ - f"{projection.name_to_use()}__{feature.name}__status" - ] = pa.int32() - + # The order of fields in the generated schema should match + # the order created on the other side (inside Go logger). + # Otherwise, some offline stores might not accept parquet files (produced by Go). + # Go code can be found here: + # https://github.com/feast-dev/feast/blob/master/go/internal/feast/server/logging/memorybuffer.go#L51 try: feature_view = registry.get_feature_view(projection.name, self._project) except FeatureViewNotFoundException: @@ -91,9 +85,21 @@ def get_schema(self, registry: "Registry") -> pa.Schema: from_value_type(entity.value_type) ] + for feature in projection.features: + fields[ + f"{projection.name_to_use()}__{feature.name}" + ] = FEAST_TYPE_TO_ARROW_TYPE[feature.dtype] + fields[ + f"{projection.name_to_use()}__{feature.name}__timestamp" + ] = PA_TIMESTAMP_TYPE + fields[ + f"{projection.name_to_use()}__{feature.name}__status" + ] = pa.int32() + # system columns - fields[REQUEST_ID_FIELD] = pa.string() fields[LOG_TIMESTAMP_FIELD] = pa.timestamp("us", tz=UTC) + fields[LOG_DATE_FIELD] = pa.date32() + fields[REQUEST_ID_FIELD] = pa.string() return pa.schema( [pa.field(name, data_type) for name, data_type in fields.items()] From 1fd9c2def1fbaca68e865a7c67336793ddb25582 Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Tue, 10 May 2022 16:23:20 -0700 Subject: [PATCH 62/87] ci: Do not retrigger integration tests on lgtm (#2656) Signed-off-by: Felix Wang --- .github/workflows/java_pr.yml | 2 +- .github/workflows/pr_integration_tests.yml | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/workflows/java_pr.yml b/.github/workflows/java_pr.yml index 9906c246ecd..a87542b9454 100644 --- a/.github/workflows/java_pr.yml +++ b/.github/workflows/java_pr.yml @@ -54,7 +54,7 @@ jobs: integration-test: # all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes. if: - (github.event.action == 'labeled' && (github.event.label.name == 'lgtm' || github.event.label.name == 'approved' || github.event.label.name == 'ok-to-test')) || + (github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'ok-to-test')) || (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved'))) runs-on: ubuntu-latest needs: unit-test-java diff --git a/.github/workflows/pr_integration_tests.yml b/.github/workflows/pr_integration_tests.yml index 2373f96ba7a..e32d0504b64 100644 --- a/.github/workflows/pr_integration_tests.yml +++ b/.github/workflows/pr_integration_tests.yml @@ -14,9 +14,9 @@ on: jobs: build-docker-image: - # all jobs MUST have this if check for 'ok-to-test' or 'approved' or 'lgtm' for security purposes. + # all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes. if: - (github.event.action == 'labeled' && (github.event.label.name == 'lgtm' || github.event.label.name == 'approved' || github.event.label.name == 'ok-to-test')) || + (github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'ok-to-test')) || (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved'))) runs-on: ubuntu-latest steps: @@ -72,9 +72,9 @@ jobs: outputs: DOCKER_IMAGE_TAG: ${{ steps.image-tag.outputs.DOCKER_IMAGE_TAG }} integration-test-python: - # all jobs MUST have this if check for 'ok-to-test' or 'approved' or 'lgtm' for security purposes. + # all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes. if: - (github.event.action == 'labeled' && (github.event.label.name == 'lgtm' || github.event.label.name == 'approved' || github.event.label.name == 'ok-to-test')) || + (github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'ok-to-test')) || (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved'))) needs: build-docker-image runs-on: ${{ matrix.os }} From bb72b7c9f13442d6350867359ab764fe67c74c4c Mon Sep 17 00:00:00 2001 From: Kevin Zhang Date: Tue, 10 May 2022 23:08:22 -0700 Subject: [PATCH 63/87] fix: Pin dependencies to nearest major version (#2647) * fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix requirements Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Fix Signed-off-by: Kevin Zhang * Address issues Signed-off-by: Kevin Zhang --- .../requirements/py3.10-ci-requirements.txt | 82 +++++++++--------- .../requirements/py3.10-requirements.txt | 40 +++++---- .../requirements/py3.7-ci-requirements.txt | 81 +++++++++--------- .../requirements/py3.7-requirements.txt | 40 +++++---- .../requirements/py3.8-ci-requirements.txt | 83 ++++++++++--------- .../requirements/py3.8-requirements.txt | 44 ++++++---- .../requirements/py3.9-ci-requirements.txt | 83 ++++++++++--------- .../requirements/py3.9-requirements.txt | 44 ++++++---- setup.py | 56 ++++++------- 9 files changed, 308 insertions(+), 245 deletions(-) diff --git a/sdk/python/requirements/py3.10-ci-requirements.txt b/sdk/python/requirements/py3.10-ci-requirements.txt index 2e0b9a8ef51..0655eb9c769 100644 --- a/sdk/python/requirements/py3.10-ci-requirements.txt +++ b/sdk/python/requirements/py3.10-ci-requirements.txt @@ -2,7 +2,7 @@ # This file is autogenerated by pip-compile with python 3.10 # To update, run: # -# pip-compile --extra=ci --output-file=requirements/py3.10-ci-requirements.txt +# pip-compile --extra=ci --output-file=sdk/python/requirements/py3.10-ci-requirements.txt # absl-py==1.0.0 # via tensorflow-metadata @@ -30,7 +30,7 @@ appdirs==1.4.4 # via black appnope==0.1.3 # via ipython -asgiref==3.5.0 +asgiref==3.5.1 # via uvicorn asn1crypto==1.5.1 # via @@ -59,25 +59,27 @@ azure-core==1.23.1 # azure-storage-blob azure-datalake-store==0.0.52 # via adlfs -azure-identity==1.9.0 +azure-identity==1.10.0 # via adlfs azure-storage-blob==12.11.0 # via adlfs -babel==2.10.0 +babel==2.10.1 # via sphinx backcall==0.2.0 # via ipython black==19.10b0 # via feast (setup.py) -boto3==1.21.43 +boto3==1.22.8 # via # feast (setup.py) # moto -botocore==1.24.43 +botocore==1.25.8 # via # boto3 # moto # s3transfer +build==0.7.0 + # via feast (setup.py) cachecontrol==0.12.11 # via firebase-admin cachetools==4.2.4 @@ -156,9 +158,9 @@ execnet==1.9.0 # via pytest-xdist executing==0.8.3 # via stack-data -fastapi==0.75.2 +fastapi==0.76.0 # via feast (setup.py) -fastavro==1.4.10 +fastavro==1.4.11 # via # feast (setup.py) # pandavro @@ -191,7 +193,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.45.0 +google-api-python-client==2.47.0 # via firebase-admin google-auth==1.35.0 # via @@ -239,7 +241,7 @@ googleapis-common-protos==1.52.0 # tensorflow-metadata great-expectations==0.14.13 # via feast (setup.py) -grpcio==1.44.0 +grpcio==1.46.0 # via # feast (setup.py) # google-api-core @@ -247,7 +249,7 @@ grpcio==1.44.0 # grpcio-reflection # grpcio-testing # grpcio-tools -grpcio-reflection==1.44.0 +grpcio-reflection==1.46.0 # via feast (setup.py) grpcio-testing==1.44.0 # via feast (setup.py) @@ -265,7 +267,7 @@ httplib2==0.20.4 # google-auth-httplib2 httptools==0.4.0 # via uvicorn -identify==2.4.12 +identify==2.5.0 # via pre-commit idna==3.3 # via @@ -279,7 +281,7 @@ importlib-metadata==4.11.3 # via great-expectations iniconfig==1.1.1 # via pytest -ipython==8.2.0 +ipython==8.3.0 # via great-expectations isodate==0.6.1 # via msrest @@ -302,7 +304,7 @@ jsonpatch==1.32 # via great-expectations jsonpointer==2.3 # via jsonpatch -jsonschema==4.4.0 +jsonschema==4.5.1 # via # altair # feast (setup.py) @@ -310,7 +312,7 @@ jsonschema==4.4.0 # nbformat jupyter-core==4.10.0 # via nbformat -locket==0.2.1 +locket==1.0.0 # via partd markupsafe==2.1.1 # via @@ -328,13 +330,13 @@ mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.1.5 +moto==3.1.7 # via feast (setup.py) msal==1.17.0 # via # azure-identity # msal-extensions -msal-extensions==0.3.1 +msal-extensions==1.0.0 # via azure-identity msgpack==1.0.3 # via cachecontrol @@ -354,7 +356,7 @@ mypy-extensions==0.4.3 # via mypy mypy-protobuf==3.1 # via feast (setup.py) -nbformat==5.3.0 +nbformat==5.4.0 # via great-expectations nodeenv==1.6.0 # via pre-commit @@ -373,6 +375,7 @@ oscrypto==1.3.0 # via snowflake-connector-python packaging==21.3 # via + # build # dask # deprecation # google-api-core @@ -381,7 +384,7 @@ packaging==21.3 # pytest # redis # sphinx -pandas==1.3.5 +pandas==1.4.2 # via # altair # feast (setup.py) @@ -396,10 +399,12 @@ partd==1.2.0 # via dask pathspec==0.9.0 # via black -pbr==5.8.1 +pbr==5.9.0 # via mock pep517==0.12.0 - # via pip-tools + # via + # build + # pip-tools pexpect==4.8.0 # via ipython pickleshare==0.7.5 @@ -414,7 +419,7 @@ ply==3.11 # via thriftpy2 portalocker==2.4.0 # via msal-extensions -pre-commit==2.18.1 +pre-commit==2.19.0 # via feast (setup.py) prompt-toolkit==3.0.29 # via ipython @@ -477,7 +482,7 @@ pydantic==1.9.0 # feast (setup.py) pyflakes==2.4.0 # via flake8 -pygments==2.11.2 +pygments==2.12.0 # via # ipython # sphinx @@ -497,7 +502,7 @@ pyrsistent==0.18.1 # via jsonschema pyspark==3.2.1 # via feast (setup.py) -pytest==7.1.1 +pytest==7.1.2 # via # feast (setup.py) # pytest-benchmark @@ -553,7 +558,7 @@ pyyaml==6.0 # uvicorn redis==4.2.2 # via feast (setup.py) -regex==2022.3.15 +regex==2022.4.24 # via black requests==2.27.1 # via @@ -612,7 +617,7 @@ sniffio==1.2.0 # via anyio snowballstemmer==2.2.0 # via sphinx -snowflake-connector-python[pandas]==2.7.6 +snowflake-connector-python[pandas]==2.7.7 # via feast (setup.py) sphinx==4.3.2 # via @@ -634,7 +639,7 @@ sphinxcontrib-serializinghtml==1.1.5 # via sphinx stack-data==0.2.0 # via ipython -starlette==0.17.1 +starlette==0.18.0 # via fastapi tabulate==0.8.9 # via feast (setup.py) @@ -655,6 +660,7 @@ toml==0.10.2 # pre-commit tomli==2.0.1 # via + # build # coverage # mypy # pep517 @@ -674,29 +680,29 @@ traitlets==5.1.1 # jupyter-core # matplotlib-inline # nbformat -trino==0.312.0 +trino==0.313.0 # via feast (setup.py) typed-ast==1.5.3 # via black -types-protobuf==3.19.17 +types-protobuf==3.19.18 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.11 +types-python-dateutil==2.8.14 # via feast (setup.py) -types-pytz==2021.3.6 +types-pytz==2021.3.7 # via feast (setup.py) -types-pyyaml==6.0.6 +types-pyyaml==6.0.7 # via feast (setup.py) -types-redis==4.1.21 +types-redis==4.2.1 # via feast (setup.py) -types-requests==2.27.19 +types-requests==2.27.25 # via feast (setup.py) types-setuptools==57.4.14 # via feast (setup.py) -types-tabulate==0.8.7 +types-tabulate==0.8.8 # via feast (setup.py) -types-urllib3==1.26.13 +types-urllib3==1.26.14 # via types-requests typing-extensions==4.2.0 # via @@ -732,11 +738,11 @@ websocket-client==1.3.2 # via docker websockets==10.3 # via uvicorn -werkzeug==2.1.1 +werkzeug==2.1.2 # via moto wheel==0.37.1 # via pip-tools -wrapt==1.14.0 +wrapt==1.14.1 # via # deprecated # testcontainers diff --git a/sdk/python/requirements/py3.10-requirements.txt b/sdk/python/requirements/py3.10-requirements.txt index 02d385c37fd..369c3b8e60b 100644 --- a/sdk/python/requirements/py3.10-requirements.txt +++ b/sdk/python/requirements/py3.10-requirements.txt @@ -2,7 +2,7 @@ # This file is autogenerated by pip-compile with python 3.10 # To update, run: # -# pip-compile --output-file=requirements/py3.10-requirements.txt +# pip-compile --output-file=sdk/python/requirements/py3.10-requirements.txt # absl-py==1.0.0 # via tensorflow-metadata @@ -10,11 +10,11 @@ anyio==3.5.0 # via # starlette # watchgod -asgiref==3.5.0 +asgiref==3.5.1 # via uvicorn attrs==21.4.0 # via jsonschema -cachetools==5.0.0 +cachetools==4.2.4 # via google-auth certifi==2021.10.8 # via requests @@ -32,28 +32,28 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.75.2 +fastapi==0.76.0 # via feast (setup.py) -fastavro==1.4.10 +fastavro==1.4.11 # via # feast (setup.py) # pandavro fsspec==2022.3.0 # via dask -google-api-core==2.7.2 +google-api-core==1.31.5 # via feast (setup.py) -google-auth==2.6.5 +google-auth==1.35.0 # via google-api-core googleapis-common-protos==1.52.0 # via # feast (setup.py) # google-api-core # tensorflow-metadata -grpcio==1.44.0 +grpcio==1.46.0 # via # feast (setup.py) # grpcio-reflection -grpcio-reflection==1.44.0 +grpcio-reflection==1.46.0 # via feast (setup.py) h11==0.13.0 # via uvicorn @@ -63,11 +63,11 @@ idna==3.3 # via # anyio # requests -jinja2==3.1.1 +jinja2==3.1.2 # via feast (setup.py) -jsonschema==4.4.0 +jsonschema==4.5.1 # via feast (setup.py) -locket==0.2.1 +locket==1.0.0 # via partd markupsafe==2.1.1 # via jinja2 @@ -80,7 +80,9 @@ numpy==1.21.6 # pandavro # pyarrow packaging==21.3 - # via dask + # via + # dask + # google-api-core pandas==1.4.2 # via # feast (setup.py) @@ -99,7 +101,7 @@ protobuf==3.19.4 # grpcio-reflection # proto-plus # tensorflow-metadata -pyarrow==7.0.0 +pyarrow==6.0.1 # via feast (setup.py) pyasn1==0.4.8 # via @@ -120,7 +122,9 @@ python-dateutil==2.8.2 python-dotenv==0.20.0 # via uvicorn pytz==2022.1 - # via pandas + # via + # google-api-core + # pandas pyyaml==6.0 # via # dask @@ -133,13 +137,14 @@ rsa==4.8 six==1.16.0 # via # absl-py + # google-api-core # google-auth # grpcio # pandavro # python-dateutil sniffio==1.2.0 # via anyio -starlette==0.17.1 +starlette==0.18.0 # via fastapi tabulate==0.8.9 # via feast (setup.py) @@ -167,3 +172,6 @@ watchgod==0.8.2 # via uvicorn websockets==10.3 # via uvicorn + +# The following packages are considered to be unsafe in a requirements file: +# setuptools diff --git a/sdk/python/requirements/py3.7-ci-requirements.txt b/sdk/python/requirements/py3.7-ci-requirements.txt index c98217e5bab..4232f5b2941 100644 --- a/sdk/python/requirements/py3.7-ci-requirements.txt +++ b/sdk/python/requirements/py3.7-ci-requirements.txt @@ -2,7 +2,7 @@ # This file is autogenerated by pip-compile with python 3.7 # To update, run: # -# pip-compile --extra=ci --output-file=requirements/py3.7-ci-requirements.txt +# pip-compile --extra=ci --output-file=sdk/python/requirements/py3.7-ci-requirements.txt # absl-py==1.0.0 # via tensorflow-metadata @@ -30,7 +30,7 @@ appdirs==1.4.4 # via black appnope==0.1.3 # via ipython -asgiref==3.5.0 +asgiref==3.5.1 # via uvicorn asn1crypto==1.5.1 # via @@ -59,11 +59,11 @@ azure-core==1.23.1 # azure-storage-blob azure-datalake-store==0.0.52 # via adlfs -azure-identity==1.9.0 +azure-identity==1.10.0 # via adlfs azure-storage-blob==12.11.0 # via adlfs -babel==2.10.0 +babel==2.10.1 # via sphinx backcall==0.2.0 # via ipython @@ -73,15 +73,17 @@ backports-zoneinfo==0.2.1 # tzlocal black==19.10b0 # via feast (setup.py) -boto3==1.21.43 +boto3==1.22.8 # via # feast (setup.py) # moto -botocore==1.24.43 +botocore==1.25.8 # via # boto3 # moto # s3transfer +build==0.7.0 + # via feast (setup.py) cachecontrol==0.12.11 # via firebase-admin cachetools==4.2.4 @@ -158,9 +160,9 @@ entrypoints==0.4 # via altair execnet==1.9.0 # via pytest-xdist -fastapi==0.75.2 +fastapi==0.76.0 # via feast (setup.py) -fastavro==1.4.10 +fastavro==1.4.11 # via # feast (setup.py) # pandavro @@ -193,7 +195,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.45.0 +google-api-python-client==2.47.0 # via firebase-admin google-auth==1.35.0 # via @@ -241,7 +243,7 @@ googleapis-common-protos==1.52.0 # tensorflow-metadata great-expectations==0.14.13 # via feast (setup.py) -grpcio==1.44.0 +grpcio==1.46.0 # via # feast (setup.py) # google-api-core @@ -249,7 +251,7 @@ grpcio==1.44.0 # grpcio-reflection # grpcio-testing # grpcio-tools -grpcio-reflection==1.44.0 +grpcio-reflection==1.46.0 # via feast (setup.py) grpcio-testing==1.44.0 # via feast (setup.py) @@ -267,7 +269,7 @@ httplib2==0.20.4 # google-auth-httplib2 httptools==0.4.0 # via uvicorn -identify==2.4.12 +identify==2.5.0 # via pre-commit idna==3.3 # via @@ -279,6 +281,7 @@ imagesize==1.3.0 # via sphinx importlib-metadata==4.2.0 # via + # build # click # flake8 # great-expectations @@ -294,7 +297,7 @@ importlib-resources==5.7.1 # via jsonschema iniconfig==1.1.1 # via pytest -ipython==7.32.0 +ipython==7.33.0 # via great-expectations isodate==0.6.1 # via msrest @@ -317,7 +320,7 @@ jsonpatch==1.32 # via great-expectations jsonpointer==2.3 # via jsonpatch -jsonschema==4.4.0 +jsonschema==4.5.1 # via # altair # feast (setup.py) @@ -325,7 +328,7 @@ jsonschema==4.4.0 # nbformat jupyter-core==4.10.0 # via nbformat -locket==0.2.1 +locket==1.0.0 # via partd markupsafe==2.1.1 # via @@ -343,13 +346,13 @@ mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.1.5 +moto==3.1.7 # via feast (setup.py) msal==1.17.0 # via # azure-identity # msal-extensions -msal-extensions==0.3.1 +msal-extensions==1.0.0 # via azure-identity msgpack==1.0.3 # via cachecontrol @@ -369,7 +372,7 @@ mypy-extensions==0.4.3 # via mypy mypy-protobuf==3.1 # via feast (setup.py) -nbformat==5.3.0 +nbformat==5.4.0 # via great-expectations nodeenv==1.6.0 # via pre-commit @@ -388,6 +391,7 @@ oscrypto==1.3.0 # via snowflake-connector-python packaging==21.3 # via + # build # dask # deprecation # google-api-core @@ -411,10 +415,12 @@ partd==1.2.0 # via dask pathspec==0.9.0 # via black -pbr==5.8.1 +pbr==5.9.0 # via mock pep517==0.12.0 - # via pip-tools + # via + # build + # pip-tools pexpect==4.8.0 # via ipython pickleshare==0.7.5 @@ -429,7 +435,7 @@ ply==3.11 # via thriftpy2 portalocker==2.4.0 # via msal-extensions -pre-commit==2.18.1 +pre-commit==2.19.0 # via feast (setup.py) prompt-toolkit==3.0.29 # via ipython @@ -490,7 +496,7 @@ pydantic==1.9.0 # feast (setup.py) pyflakes==2.4.0 # via flake8 -pygments==2.11.2 +pygments==2.12.0 # via # ipython # sphinx @@ -510,7 +516,7 @@ pyrsistent==0.18.1 # via jsonschema pyspark==3.2.1 # via feast (setup.py) -pytest==7.1.1 +pytest==7.1.2 # via # feast (setup.py) # pytest-benchmark @@ -566,7 +572,7 @@ pyyaml==6.0 # uvicorn redis==4.2.2 # via feast (setup.py) -regex==2022.3.15 +regex==2022.4.24 # via black requests==2.27.1 # via @@ -627,7 +633,7 @@ sniffio==1.2.0 # via anyio snowballstemmer==2.2.0 # via sphinx -snowflake-connector-python[pandas]==2.7.6 +snowflake-connector-python[pandas]==2.7.7 # via feast (setup.py) sphinx==4.3.2 # via @@ -647,7 +653,7 @@ sphinxcontrib-qthelp==1.0.3 # via sphinx sphinxcontrib-serializinghtml==1.1.5 # via sphinx -starlette==0.17.1 +starlette==0.18.0 # via fastapi tabulate==0.8.9 # via feast (setup.py) @@ -668,6 +674,7 @@ toml==0.10.2 # pre-commit tomli==2.0.1 # via + # build # coverage # mypy # pep517 @@ -687,31 +694,31 @@ traitlets==5.1.1 # jupyter-core # matplotlib-inline # nbformat -trino==0.312.0 +trino==0.313.0 # via feast (setup.py) typed-ast==1.5.3 # via # black # mypy -types-protobuf==3.19.17 +types-protobuf==3.19.18 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.11 +types-python-dateutil==2.8.14 # via feast (setup.py) -types-pytz==2021.3.6 +types-pytz==2021.3.7 # via feast (setup.py) -types-pyyaml==6.0.6 +types-pyyaml==6.0.7 # via feast (setup.py) -types-redis==4.1.21 +types-redis==4.2.1 # via feast (setup.py) -types-requests==2.27.19 +types-requests==2.27.25 # via feast (setup.py) types-setuptools==57.4.14 # via feast (setup.py) -types-tabulate==0.8.7 +types-tabulate==0.8.8 # via feast (setup.py) -types-urllib3==1.26.13 +types-urllib3==1.26.14 # via types-requests typing-extensions==4.2.0 # via @@ -758,11 +765,11 @@ websocket-client==1.3.2 # via docker websockets==10.3 # via uvicorn -werkzeug==2.1.1 +werkzeug==2.1.2 # via moto wheel==0.37.1 # via pip-tools -wrapt==1.14.0 +wrapt==1.14.1 # via # deprecated # testcontainers diff --git a/sdk/python/requirements/py3.7-requirements.txt b/sdk/python/requirements/py3.7-requirements.txt index 8ce9444872f..dfdd86e39a1 100644 --- a/sdk/python/requirements/py3.7-requirements.txt +++ b/sdk/python/requirements/py3.7-requirements.txt @@ -2,7 +2,7 @@ # This file is autogenerated by pip-compile with python 3.7 # To update, run: # -# pip-compile --output-file=requirements/py3.7-requirements.txt +# pip-compile --output-file=sdk/python/requirements/py3.7-requirements.txt # absl-py==1.0.0 # via tensorflow-metadata @@ -10,11 +10,11 @@ anyio==3.5.0 # via # starlette # watchgod -asgiref==3.5.0 +asgiref==3.5.1 # via uvicorn attrs==21.4.0 # via jsonschema -cachetools==5.0.0 +cachetools==4.2.4 # via google-auth certifi==2021.10.8 # via requests @@ -32,28 +32,28 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.75.2 +fastapi==0.76.0 # via feast (setup.py) -fastavro==1.4.10 +fastavro==1.4.11 # via # feast (setup.py) # pandavro fsspec==2022.3.0 # via dask -google-api-core==2.7.2 +google-api-core==1.31.5 # via feast (setup.py) -google-auth==2.6.5 +google-auth==1.35.0 # via google-api-core googleapis-common-protos==1.52.0 # via # feast (setup.py) # google-api-core # tensorflow-metadata -grpcio==1.44.0 +grpcio==1.46.0 # via # feast (setup.py) # grpcio-reflection -grpcio-reflection==1.44.0 +grpcio-reflection==1.46.0 # via feast (setup.py) h11==0.13.0 # via uvicorn @@ -69,11 +69,11 @@ importlib-metadata==4.11.3 # jsonschema importlib-resources==5.7.1 # via jsonschema -jinja2==3.1.1 +jinja2==3.1.2 # via feast (setup.py) -jsonschema==4.4.0 +jsonschema==4.5.1 # via feast (setup.py) -locket==0.2.1 +locket==1.0.0 # via partd markupsafe==2.1.1 # via jinja2 @@ -86,7 +86,9 @@ numpy==1.21.6 # pandavro # pyarrow packaging==21.3 - # via dask + # via + # dask + # google-api-core pandas==1.3.5 # via # feast (setup.py) @@ -105,7 +107,7 @@ protobuf==3.19.4 # grpcio-reflection # proto-plus # tensorflow-metadata -pyarrow==7.0.0 +pyarrow==6.0.1 # via feast (setup.py) pyasn1==0.4.8 # via @@ -126,7 +128,9 @@ python-dateutil==2.8.2 python-dotenv==0.20.0 # via uvicorn pytz==2022.1 - # via pandas + # via + # google-api-core + # pandas pyyaml==6.0 # via # dask @@ -139,13 +143,14 @@ rsa==4.8 six==1.16.0 # via # absl-py + # google-api-core # google-auth # grpcio # pandavro # python-dateutil sniffio==1.2.0 # via anyio -starlette==0.17.1 +starlette==0.18.0 # via fastapi tabulate==0.8.9 # via feast (setup.py) @@ -185,3 +190,6 @@ zipp==3.8.0 # via # importlib-metadata # importlib-resources + +# The following packages are considered to be unsafe in a requirements file: +# setuptools diff --git a/sdk/python/requirements/py3.8-ci-requirements.txt b/sdk/python/requirements/py3.8-ci-requirements.txt index beadb991de8..db3eca4b538 100644 --- a/sdk/python/requirements/py3.8-ci-requirements.txt +++ b/sdk/python/requirements/py3.8-ci-requirements.txt @@ -2,7 +2,7 @@ # This file is autogenerated by pip-compile with python 3.8 # To update, run: # -# pip-compile --extra=ci --output-file=requirements/py3.8-ci-requirements.txt +# pip-compile --extra=ci --output-file=sdk/python/requirements/py3.8-ci-requirements.txt # absl-py==1.0.0 # via tensorflow-metadata @@ -30,7 +30,7 @@ appdirs==1.4.4 # via black appnope==0.1.3 # via ipython -asgiref==3.5.0 +asgiref==3.5.1 # via uvicorn asn1crypto==1.5.1 # via @@ -59,11 +59,11 @@ azure-core==1.23.1 # azure-storage-blob azure-datalake-store==0.0.52 # via adlfs -azure-identity==1.9.0 +azure-identity==1.10.0 # via adlfs azure-storage-blob==12.11.0 # via adlfs -babel==2.10.0 +babel==2.10.1 # via sphinx backcall==0.2.0 # via ipython @@ -73,15 +73,17 @@ backports-zoneinfo==0.2.1 # tzlocal black==19.10b0 # via feast (setup.py) -boto3==1.21.43 +boto3==1.22.8 # via # feast (setup.py) # moto -botocore==1.24.43 +botocore==1.25.8 # via # boto3 # moto # s3transfer +build==0.7.0 + # via feast (setup.py) cachecontrol==0.12.11 # via firebase-admin cachetools==4.2.4 @@ -160,9 +162,9 @@ execnet==1.9.0 # via pytest-xdist executing==0.8.3 # via stack-data -fastapi==0.75.2 +fastapi==0.76.0 # via feast (setup.py) -fastavro==1.4.10 +fastavro==1.4.11 # via # feast (setup.py) # pandavro @@ -195,7 +197,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.45.0 +google-api-python-client==2.47.0 # via firebase-admin google-auth==1.35.0 # via @@ -243,7 +245,7 @@ googleapis-common-protos==1.52.0 # tensorflow-metadata great-expectations==0.14.13 # via feast (setup.py) -grpcio==1.44.0 +grpcio==1.46.0 # via # feast (setup.py) # google-api-core @@ -251,7 +253,7 @@ grpcio==1.44.0 # grpcio-reflection # grpcio-testing # grpcio-tools -grpcio-reflection==1.44.0 +grpcio-reflection==1.46.0 # via feast (setup.py) grpcio-testing==1.44.0 # via feast (setup.py) @@ -269,7 +271,7 @@ httplib2==0.20.4 # google-auth-httplib2 httptools==0.4.0 # via uvicorn -identify==2.4.12 +identify==2.5.0 # via pre-commit idna==3.3 # via @@ -285,7 +287,7 @@ importlib-resources==5.7.1 # via jsonschema iniconfig==1.1.1 # via pytest -ipython==8.2.0 +ipython==8.3.0 # via great-expectations isodate==0.6.1 # via msrest @@ -308,7 +310,7 @@ jsonpatch==1.32 # via great-expectations jsonpointer==2.3 # via jsonpatch -jsonschema==4.4.0 +jsonschema==4.5.1 # via # altair # feast (setup.py) @@ -316,7 +318,7 @@ jsonschema==4.4.0 # nbformat jupyter-core==4.10.0 # via nbformat -locket==0.2.1 +locket==1.0.0 # via partd markupsafe==2.1.1 # via @@ -334,13 +336,13 @@ mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.1.5 +moto==3.1.7 # via feast (setup.py) msal==1.17.0 # via # azure-identity # msal-extensions -msal-extensions==0.3.1 +msal-extensions==1.0.0 # via azure-identity msgpack==1.0.3 # via cachecontrol @@ -360,7 +362,7 @@ mypy-extensions==0.4.3 # via mypy mypy-protobuf==3.1 # via feast (setup.py) -nbformat==5.3.0 +nbformat==5.4.0 # via great-expectations nodeenv==1.6.0 # via pre-commit @@ -379,6 +381,7 @@ oscrypto==1.3.0 # via snowflake-connector-python packaging==21.3 # via + # build # dask # deprecation # google-api-core @@ -387,7 +390,7 @@ packaging==21.3 # pytest # redis # sphinx -pandas==1.3.5 +pandas==1.4.2 # via # altair # feast (setup.py) @@ -402,10 +405,12 @@ partd==1.2.0 # via dask pathspec==0.9.0 # via black -pbr==5.8.1 +pbr==5.9.0 # via mock pep517==0.12.0 - # via pip-tools + # via + # build + # pip-tools pexpect==4.8.0 # via ipython pickleshare==0.7.5 @@ -420,7 +425,7 @@ ply==3.11 # via thriftpy2 portalocker==2.4.0 # via msal-extensions -pre-commit==2.18.1 +pre-commit==2.19.0 # via feast (setup.py) prompt-toolkit==3.0.29 # via ipython @@ -483,7 +488,7 @@ pydantic==1.9.0 # feast (setup.py) pyflakes==2.4.0 # via flake8 -pygments==2.11.2 +pygments==2.12.0 # via # ipython # sphinx @@ -503,7 +508,7 @@ pyrsistent==0.18.1 # via jsonschema pyspark==3.2.1 # via feast (setup.py) -pytest==7.1.1 +pytest==7.1.2 # via # feast (setup.py) # pytest-benchmark @@ -559,7 +564,7 @@ pyyaml==6.0 # uvicorn redis==4.2.2 # via feast (setup.py) -regex==2022.3.15 +regex==2022.4.24 # via black requests==2.27.1 # via @@ -620,7 +625,7 @@ sniffio==1.2.0 # via anyio snowballstemmer==2.2.0 # via sphinx -snowflake-connector-python[pandas]==2.7.6 +snowflake-connector-python[pandas]==2.7.7 # via feast (setup.py) sphinx==4.3.2 # via @@ -642,7 +647,7 @@ sphinxcontrib-serializinghtml==1.1.5 # via sphinx stack-data==0.2.0 # via ipython -starlette==0.17.1 +starlette==0.18.0 # via fastapi tabulate==0.8.9 # via feast (setup.py) @@ -663,6 +668,7 @@ toml==0.10.2 # pre-commit tomli==2.0.1 # via + # build # coverage # mypy # pep517 @@ -682,29 +688,29 @@ traitlets==5.1.1 # jupyter-core # matplotlib-inline # nbformat -trino==0.312.0 +trino==0.313.0 # via feast (setup.py) typed-ast==1.5.3 # via black -types-protobuf==3.19.17 +types-protobuf==3.19.18 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.11 +types-python-dateutil==2.8.14 # via feast (setup.py) -types-pytz==2021.3.6 +types-pytz==2021.3.7 # via feast (setup.py) -types-pyyaml==6.0.6 +types-pyyaml==6.0.7 # via feast (setup.py) -types-redis==4.1.21 +types-redis==4.2.1 # via feast (setup.py) -types-requests==2.27.19 +types-requests==2.27.25 # via feast (setup.py) types-setuptools==57.4.14 # via feast (setup.py) -types-tabulate==0.8.7 +types-tabulate==0.8.8 # via feast (setup.py) -types-urllib3==1.26.13 +types-urllib3==1.26.14 # via types-requests typing-extensions==4.2.0 # via @@ -712,6 +718,7 @@ typing-extensions==4.2.0 # great-expectations # mypy # pydantic + # starlette tzdata==2022.1 # via pytz-deprecation-shim tzlocal==4.2 @@ -740,11 +747,11 @@ websocket-client==1.3.2 # via docker websockets==10.3 # via uvicorn -werkzeug==2.1.1 +werkzeug==2.1.2 # via moto wheel==0.37.1 # via pip-tools -wrapt==1.14.0 +wrapt==1.14.1 # via # deprecated # testcontainers diff --git a/sdk/python/requirements/py3.8-requirements.txt b/sdk/python/requirements/py3.8-requirements.txt index 688710ba44d..9e47d0e831d 100644 --- a/sdk/python/requirements/py3.8-requirements.txt +++ b/sdk/python/requirements/py3.8-requirements.txt @@ -2,7 +2,7 @@ # This file is autogenerated by pip-compile with python 3.8 # To update, run: # -# pip-compile --output-file=requirements/py3.8-requirements.txt +# pip-compile --output-file=sdk/python/requirements/py3.8-requirements.txt # absl-py==1.0.0 # via tensorflow-metadata @@ -10,11 +10,11 @@ anyio==3.5.0 # via # starlette # watchgod -asgiref==3.5.0 +asgiref==3.5.1 # via uvicorn attrs==21.4.0 # via jsonschema -cachetools==5.0.0 +cachetools==4.2.4 # via google-auth certifi==2021.10.8 # via requests @@ -32,28 +32,28 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.75.2 +fastapi==0.76.0 # via feast (setup.py) -fastavro==1.4.10 +fastavro==1.4.11 # via # feast (setup.py) # pandavro fsspec==2022.3.0 # via dask -google-api-core==2.7.2 +google-api-core==1.31.5 # via feast (setup.py) -google-auth==2.6.5 +google-auth==1.35.0 # via google-api-core googleapis-common-protos==1.52.0 # via # feast (setup.py) # google-api-core # tensorflow-metadata -grpcio==1.44.0 +grpcio==1.46.0 # via # feast (setup.py) # grpcio-reflection -grpcio-reflection==1.44.0 +grpcio-reflection==1.46.0 # via feast (setup.py) h11==0.13.0 # via uvicorn @@ -65,11 +65,11 @@ idna==3.3 # requests importlib-resources==5.7.1 # via jsonschema -jinja2==3.1.1 +jinja2==3.1.2 # via feast (setup.py) -jsonschema==4.4.0 +jsonschema==4.5.1 # via feast (setup.py) -locket==0.2.1 +locket==1.0.0 # via partd markupsafe==2.1.1 # via jinja2 @@ -82,7 +82,9 @@ numpy==1.21.6 # pandavro # pyarrow packaging==21.3 - # via dask + # via + # dask + # google-api-core pandas==1.4.2 # via # feast (setup.py) @@ -101,7 +103,7 @@ protobuf==3.19.4 # grpcio-reflection # proto-plus # tensorflow-metadata -pyarrow==7.0.0 +pyarrow==6.0.1 # via feast (setup.py) pyasn1==0.4.8 # via @@ -122,7 +124,9 @@ python-dateutil==2.8.2 python-dotenv==0.20.0 # via uvicorn pytz==2022.1 - # via pandas + # via + # google-api-core + # pandas pyyaml==6.0 # via # dask @@ -135,13 +139,14 @@ rsa==4.8 six==1.16.0 # via # absl-py + # google-api-core # google-auth # grpcio # pandavro # python-dateutil sniffio==1.2.0 # via anyio -starlette==0.17.1 +starlette==0.18.0 # via fastapi tabulate==0.8.9 # via feast (setup.py) @@ -158,7 +163,9 @@ toolz==0.11.2 tqdm==4.64.0 # via feast (setup.py) typing-extensions==4.2.0 - # via pydantic + # via + # pydantic + # starlette urllib3==1.26.9 # via requests uvicorn[standard]==0.17.6 @@ -171,3 +178,6 @@ websockets==10.3 # via uvicorn zipp==3.8.0 # via importlib-resources + +# The following packages are considered to be unsafe in a requirements file: +# setuptools diff --git a/sdk/python/requirements/py3.9-ci-requirements.txt b/sdk/python/requirements/py3.9-ci-requirements.txt index ef3f7f67dee..4a96dc6fd2c 100644 --- a/sdk/python/requirements/py3.9-ci-requirements.txt +++ b/sdk/python/requirements/py3.9-ci-requirements.txt @@ -2,7 +2,7 @@ # This file is autogenerated by pip-compile with python 3.9 # To update, run: # -# pip-compile --extra=ci --output-file=requirements/py3.9-ci-requirements.txt +# pip-compile --extra=ci --output-file=sdk/python/requirements/py3.9-ci-requirements.txt # absl-py==1.0.0 # via tensorflow-metadata @@ -30,7 +30,7 @@ appdirs==1.4.4 # via black appnope==0.1.3 # via ipython -asgiref==3.5.0 +asgiref==3.5.1 # via uvicorn asn1crypto==1.5.1 # via @@ -59,25 +59,27 @@ azure-core==1.23.1 # azure-storage-blob azure-datalake-store==0.0.52 # via adlfs -azure-identity==1.9.0 +azure-identity==1.10.0 # via adlfs azure-storage-blob==12.11.0 # via adlfs -babel==2.10.0 +babel==2.10.1 # via sphinx backcall==0.2.0 # via ipython black==19.10b0 # via feast (setup.py) -boto3==1.21.43 +boto3==1.22.8 # via # feast (setup.py) # moto -botocore==1.24.43 +botocore==1.25.8 # via # boto3 # moto # s3transfer +build==0.7.0 + # via feast (setup.py) cachecontrol==0.12.11 # via firebase-admin cachetools==4.2.4 @@ -156,9 +158,9 @@ execnet==1.9.0 # via pytest-xdist executing==0.8.3 # via stack-data -fastapi==0.75.2 +fastapi==0.76.0 # via feast (setup.py) -fastavro==1.4.10 +fastavro==1.4.11 # via # feast (setup.py) # pandavro @@ -191,7 +193,7 @@ google-api-core[grpc]==1.31.5 # google-cloud-core # google-cloud-datastore # google-cloud-firestore -google-api-python-client==2.45.0 +google-api-python-client==2.47.0 # via firebase-admin google-auth==1.35.0 # via @@ -239,7 +241,7 @@ googleapis-common-protos==1.52.0 # tensorflow-metadata great-expectations==0.14.13 # via feast (setup.py) -grpcio==1.44.0 +grpcio==1.46.0 # via # feast (setup.py) # google-api-core @@ -247,7 +249,7 @@ grpcio==1.44.0 # grpcio-reflection # grpcio-testing # grpcio-tools -grpcio-reflection==1.44.0 +grpcio-reflection==1.46.0 # via feast (setup.py) grpcio-testing==1.44.0 # via feast (setup.py) @@ -265,7 +267,7 @@ httplib2==0.20.4 # google-auth-httplib2 httptools==0.4.0 # via uvicorn -identify==2.4.12 +identify==2.5.0 # via pre-commit idna==3.3 # via @@ -279,7 +281,7 @@ importlib-metadata==4.11.3 # via great-expectations iniconfig==1.1.1 # via pytest -ipython==8.2.0 +ipython==8.3.0 # via great-expectations isodate==0.6.1 # via msrest @@ -302,7 +304,7 @@ jsonpatch==1.32 # via great-expectations jsonpointer==2.3 # via jsonpatch -jsonschema==4.4.0 +jsonschema==4.5.1 # via # altair # feast (setup.py) @@ -310,7 +312,7 @@ jsonschema==4.4.0 # nbformat jupyter-core==4.10.0 # via nbformat -locket==0.2.1 +locket==1.0.0 # via partd markupsafe==2.1.1 # via @@ -328,13 +330,13 @@ mmh3==3.0.0 # via feast (setup.py) mock==2.0.0 # via feast (setup.py) -moto==3.1.5 +moto==3.1.7 # via feast (setup.py) msal==1.17.0 # via # azure-identity # msal-extensions -msal-extensions==0.3.1 +msal-extensions==1.0.0 # via azure-identity msgpack==1.0.3 # via cachecontrol @@ -354,7 +356,7 @@ mypy-extensions==0.4.3 # via mypy mypy-protobuf==3.1 # via feast (setup.py) -nbformat==5.3.0 +nbformat==5.4.0 # via great-expectations nodeenv==1.6.0 # via pre-commit @@ -373,6 +375,7 @@ oscrypto==1.3.0 # via snowflake-connector-python packaging==21.3 # via + # build # dask # deprecation # google-api-core @@ -381,7 +384,7 @@ packaging==21.3 # pytest # redis # sphinx -pandas==1.3.5 +pandas==1.4.2 # via # altair # feast (setup.py) @@ -396,10 +399,12 @@ partd==1.2.0 # via dask pathspec==0.9.0 # via black -pbr==5.8.1 +pbr==5.9.0 # via mock pep517==0.12.0 - # via pip-tools + # via + # build + # pip-tools pexpect==4.8.0 # via ipython pickleshare==0.7.5 @@ -414,7 +419,7 @@ ply==3.11 # via thriftpy2 portalocker==2.4.0 # via msal-extensions -pre-commit==2.18.1 +pre-commit==2.19.0 # via feast (setup.py) prompt-toolkit==3.0.29 # via ipython @@ -477,7 +482,7 @@ pydantic==1.9.0 # feast (setup.py) pyflakes==2.4.0 # via flake8 -pygments==2.11.2 +pygments==2.12.0 # via # ipython # sphinx @@ -497,7 +502,7 @@ pyrsistent==0.18.1 # via jsonschema pyspark==3.2.1 # via feast (setup.py) -pytest==7.1.1 +pytest==7.1.2 # via # feast (setup.py) # pytest-benchmark @@ -553,7 +558,7 @@ pyyaml==6.0 # uvicorn redis==4.2.2 # via feast (setup.py) -regex==2022.3.15 +regex==2022.4.24 # via black requests==2.27.1 # via @@ -614,7 +619,7 @@ sniffio==1.2.0 # via anyio snowballstemmer==2.2.0 # via sphinx -snowflake-connector-python[pandas]==2.7.6 +snowflake-connector-python[pandas]==2.7.7 # via feast (setup.py) sphinx==4.3.2 # via @@ -636,7 +641,7 @@ sphinxcontrib-serializinghtml==1.1.5 # via sphinx stack-data==0.2.0 # via ipython -starlette==0.17.1 +starlette==0.18.0 # via fastapi tabulate==0.8.9 # via feast (setup.py) @@ -657,6 +662,7 @@ toml==0.10.2 # pre-commit tomli==2.0.1 # via + # build # coverage # mypy # pep517 @@ -676,29 +682,29 @@ traitlets==5.1.1 # jupyter-core # matplotlib-inline # nbformat -trino==0.312.0 +trino==0.313.0 # via feast (setup.py) typed-ast==1.5.3 # via black -types-protobuf==3.19.17 +types-protobuf==3.19.18 # via # feast (setup.py) # mypy-protobuf -types-python-dateutil==2.8.11 +types-python-dateutil==2.8.14 # via feast (setup.py) -types-pytz==2021.3.6 +types-pytz==2021.3.7 # via feast (setup.py) -types-pyyaml==6.0.6 +types-pyyaml==6.0.7 # via feast (setup.py) -types-redis==4.1.21 +types-redis==4.2.1 # via feast (setup.py) -types-requests==2.27.19 +types-requests==2.27.25 # via feast (setup.py) types-setuptools==57.4.14 # via feast (setup.py) -types-tabulate==0.8.7 +types-tabulate==0.8.8 # via feast (setup.py) -types-urllib3==1.26.13 +types-urllib3==1.26.14 # via types-requests typing-extensions==4.2.0 # via @@ -706,6 +712,7 @@ typing-extensions==4.2.0 # great-expectations # mypy # pydantic + # starlette tzdata==2022.1 # via pytz-deprecation-shim tzlocal==4.2 @@ -734,11 +741,11 @@ websocket-client==1.3.2 # via docker websockets==10.3 # via uvicorn -werkzeug==2.1.1 +werkzeug==2.1.2 # via moto wheel==0.37.1 # via pip-tools -wrapt==1.14.0 +wrapt==1.14.1 # via # deprecated # testcontainers diff --git a/sdk/python/requirements/py3.9-requirements.txt b/sdk/python/requirements/py3.9-requirements.txt index ce098cbb8b1..0ad985b828e 100644 --- a/sdk/python/requirements/py3.9-requirements.txt +++ b/sdk/python/requirements/py3.9-requirements.txt @@ -2,7 +2,7 @@ # This file is autogenerated by pip-compile with python 3.9 # To update, run: # -# pip-compile --output-file=requirements/py3.9-requirements.txt +# pip-compile --output-file=sdk/python/requirements/py3.9-requirements.txt # absl-py==1.0.0 # via tensorflow-metadata @@ -10,11 +10,11 @@ anyio==3.5.0 # via # starlette # watchgod -asgiref==3.5.0 +asgiref==3.5.1 # via uvicorn attrs==21.4.0 # via jsonschema -cachetools==5.0.0 +cachetools==4.2.4 # via google-auth certifi==2021.10.8 # via requests @@ -32,28 +32,28 @@ dask==2022.1.1 # via feast (setup.py) dill==0.3.4 # via feast (setup.py) -fastapi==0.75.2 +fastapi==0.76.0 # via feast (setup.py) -fastavro==1.4.10 +fastavro==1.4.11 # via # feast (setup.py) # pandavro fsspec==2022.3.0 # via dask -google-api-core==2.7.2 +google-api-core==1.31.5 # via feast (setup.py) -google-auth==2.6.5 +google-auth==1.35.0 # via google-api-core googleapis-common-protos==1.52.0 # via # feast (setup.py) # google-api-core # tensorflow-metadata -grpcio==1.44.0 +grpcio==1.46.0 # via # feast (setup.py) # grpcio-reflection -grpcio-reflection==1.44.0 +grpcio-reflection==1.46.0 # via feast (setup.py) h11==0.13.0 # via uvicorn @@ -63,11 +63,11 @@ idna==3.3 # via # anyio # requests -jinja2==3.1.1 +jinja2==3.1.2 # via feast (setup.py) -jsonschema==4.4.0 +jsonschema==4.5.1 # via feast (setup.py) -locket==0.2.1 +locket==1.0.0 # via partd markupsafe==2.1.1 # via jinja2 @@ -80,7 +80,9 @@ numpy==1.21.6 # pandavro # pyarrow packaging==21.3 - # via dask + # via + # dask + # google-api-core pandas==1.4.2 # via # feast (setup.py) @@ -99,7 +101,7 @@ protobuf==3.19.4 # grpcio-reflection # proto-plus # tensorflow-metadata -pyarrow==7.0.0 +pyarrow==6.0.1 # via feast (setup.py) pyasn1==0.4.8 # via @@ -120,7 +122,9 @@ python-dateutil==2.8.2 python-dotenv==0.20.0 # via uvicorn pytz==2022.1 - # via pandas + # via + # google-api-core + # pandas pyyaml==6.0 # via # dask @@ -133,13 +137,14 @@ rsa==4.8 six==1.16.0 # via # absl-py + # google-api-core # google-auth # grpcio # pandavro # python-dateutil sniffio==1.2.0 # via anyio -starlette==0.17.1 +starlette==0.18.0 # via fastapi tabulate==0.8.9 # via feast (setup.py) @@ -156,7 +161,9 @@ toolz==0.11.2 tqdm==4.64.0 # via feast (setup.py) typing-extensions==4.2.0 - # via pydantic + # via + # pydantic + # starlette urllib3==1.26.9 # via requests uvicorn[standard]==0.17.6 @@ -167,3 +174,6 @@ watchgod==0.8.2 # via uvicorn websockets==10.3 # via uvicorn + +# The following packages are considered to be unsafe in a requirements file: +# setuptools diff --git a/setup.py b/setup.py index 8736482f669..3216471ff0a 100644 --- a/setup.py +++ b/setup.py @@ -47,30 +47,30 @@ REQUIRED = [ "click>=7.0.0,<8.0.2", - "colorama>=0.3.9", + "colorama>=0.3.9,<1", "dill==0.3.*", - "fastavro>=1.1.0", - "google-api-core>=1.23.0", - "googleapis-common-protos==1.52.*", - "grpcio>=1.34.0", - "grpcio-reflection>=1.34.0", - "Jinja2>=2.0.0", + "fastavro>=1.1.0,<2", + "google-api-core>=1.23.0,<3", + "googleapis-common-protos==1.52.*,<2", + "grpcio>=1.34.0,<2", + "grpcio-reflection>=1.34.0,<2", + "Jinja2>=2,<4", "jsonschema", "mmh3", - "numpy<1.22", - "pandas>=1.0.0", + "numpy<1.22,<2", + "pandas>=1,<2", "pandavro==1.5.*", "protobuf>=3.10,<3.20", "proto-plus<1.19.7", - "pyarrow>=4.0.0", - "pydantic>=1.0.0", - "PyYAML>=5.4.*", + "pyarrow>=4,<7", + "pydantic>=1,<2", + "PyYAML>=5.4.*,<7", "tabulate==0.8.*", - "tenacity>=7.*", + "tenacity>=7,<9", "toml==0.10.*", "tqdm==4.*", - "fastapi>=0.68.0", - "uvicorn[standard]>=0.14.0", + "fastapi>=0.68.0,<1", + "uvicorn[standard]>=0.14.0,<1", "proto-plus<1.19.7", "tensorflow-metadata>=1.0.0,<2.0.0", "dask>=2021.*,<2022.02.0", @@ -78,15 +78,15 @@ GCP_REQUIRED = [ "google-cloud-bigquery>=2,<3", - "google-cloud-bigquery-storage >= 2.0.0", - "google-cloud-datastore>=2.1.*", + "google-cloud-bigquery-storage >= 2.0.0,<3", + "google-cloud-datastore>=2.1.*,<3", "google-cloud-storage>=1.34.*,<1.41", "google-cloud-core>=1.4.0,<2.0.0", ] REDIS_REQUIRED = [ "redis==4.2.2", - "hiredis>=2.0.0", + "hiredis>=2.0.0,<3", ] AWS_REQUIRED = [ @@ -95,11 +95,11 @@ ] SNOWFLAKE_REQUIRED = [ - "snowflake-connector-python[pandas]>=2.7.3", + "snowflake-connector-python[pandas]>=2.7.3,<3", ] SPARK_REQUIRED = [ - "pyspark>=3.0.0", + "pyspark>=3.0.0,<4", ] TRINO_REQUIRED = [ @@ -107,11 +107,11 @@ ] POSTGRES_REQUIRED = [ - "psycopg2-binary>=2.8.3", + "psycopg2-binary>=2.8.3,<3", ] HBASE_REQUIRED = [ - "happybase>=1.2.0", + "happybase>=1.2.0,<3", ] GE_REQUIRED = [ @@ -119,7 +119,7 @@ ] GO_REQUIRED = [ - "cffi==1.15.*", + "cffi==1.15.*,<2", ] CI_REQUIRED = ( @@ -128,7 +128,7 @@ "cryptography==3.4.8", "flake8", "black==19.10b0", - "isort>=5", + "isort>=5,<6", "grpcio-tools==1.44.0", "grpcio-testing==1.44.0", "minio==7.1.0", @@ -138,19 +138,19 @@ "mypy-protobuf==3.1", "avro==1.10.0", "gcsfs", - "urllib3>=1.25.4", + "urllib3>=1.25.4,<2", "psutil==5.9.0", - "pytest>=6.0.0", + "pytest>=6.0.0,<8", "pytest-cov", "pytest-xdist", - "pytest-benchmark>=3.4.1", + "pytest-benchmark>=3.4.1,<4", "pytest-lazy-fixture==0.6.3", "pytest-timeout==1.4.2", "pytest-ordering==0.6.*", "pytest-mock==1.10.4", "Sphinx!=4.0.0,<4.4.0", "sphinx-rtd-theme", - "testcontainers[postgresql]>=3.5", + "testcontainers>=3.5,<4", "adlfs==0.5.9", "firebase-admin==4.5.2", "pre-commit", From 6589f15d9e8b63fe0c483c30ace08b968f74ccdf Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Tue, 10 May 2022 23:13:20 -0700 Subject: [PATCH 64/87] chore: Add feature repo for version 0.19 (#2659) * Use `join_keys` instead of `join_key` when instantiating entity Signed-off-by: Felix Wang * Switch from `batch_source` to `source` Signed-off-by: Felix Wang * Clean up test Signed-off-by: Felix Wang * Add example feature repo for version 0.19 Signed-off-by: Felix Wang * Add test for 0.19 example feature repo Signed-off-by: Felix Wang --- sdk/python/feast/entity.py | 2 +- .../example_repos/example_feature_repo_2.py | 6 +- .../example_feature_repo_version_0_19.py | 52 ++++++++++++ ...ample_feature_repo_with_entity_join_key.py | 2 +- .../online_store/test_e2e_local.py | 85 +++++++++++-------- 5 files changed, 106 insertions(+), 41 deletions(-) create mode 100644 sdk/python/tests/example_repos/example_feature_repo_version_0_19.py diff --git a/sdk/python/feast/entity.py b/sdk/python/feast/entity.py index 3aaf0f9b695..38c353857c9 100644 --- a/sdk/python/feast/entity.py +++ b/sdk/python/feast/entity.py @@ -180,7 +180,7 @@ def from_proto(cls, entity_proto: EntityProto): entity = cls( name=entity_proto.spec.name, value_type=ValueType(entity_proto.spec.value_type), - join_key=entity_proto.spec.join_key, + join_keys=[entity_proto.spec.join_key], description=entity_proto.spec.description, tags=entity_proto.spec.tags, owner=entity_proto.spec.owner, diff --git a/sdk/python/tests/example_repos/example_feature_repo_2.py b/sdk/python/tests/example_repos/example_feature_repo_2.py index 1ca7cc3805c..d4c7976418b 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_2.py +++ b/sdk/python/tests/example_repos/example_feature_repo_2.py @@ -9,7 +9,7 @@ created_timestamp_column="created", ) -driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id",) +driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id") driver_hourly_stats_view = FeatureView( @@ -22,7 +22,7 @@ Field(name="avg_daily_trips", dtype=Int64), ], online=True, - batch_source=driver_hourly_stats, + source=driver_hourly_stats, tags={}, ) @@ -43,6 +43,6 @@ Field(name="avg_ride_length", dtype=Float32), ], online=True, - batch_source=global_daily_stats, + source=global_daily_stats, tags={}, ) diff --git a/sdk/python/tests/example_repos/example_feature_repo_version_0_19.py b/sdk/python/tests/example_repos/example_feature_repo_version_0_19.py new file mode 100644 index 00000000000..e00a69b867a --- /dev/null +++ b/sdk/python/tests/example_repos/example_feature_repo_version_0_19.py @@ -0,0 +1,52 @@ +from datetime import timedelta + +from feast import Entity, Feature, FeatureView, FileSource, ValueType + +driver_hourly_stats = FileSource( + path="%PARQUET_PATH%", # placeholder to be replaced by the test + event_timestamp_column="event_timestamp", # Changed to `timestamp_field` in 0.20 + created_timestamp_column="created", +) + +driver = Entity( + name="driver_id", + value_type=ValueType.INT64, + description="driver id", + join_key="driver_id", # Changed to `join_keys` in 0.20 +) + + +driver_hourly_stats_view = FeatureView( + name="driver_hourly_stats", + entities=["driver_id"], + ttl=timedelta(days=1), + features=[ # Changed to `schema` in 0.20 + Feature(name="conv_rate", dtype=ValueType.FLOAT), # Changed to `Field` in 0.20 + Feature(name="acc_rate", dtype=ValueType.FLOAT), + Feature(name="avg_daily_trips", dtype=ValueType.INT64), + ], + online=True, + batch_source=driver_hourly_stats, # Changed to `source` in 0.20 + tags={}, +) + + +global_daily_stats = FileSource( + path="%PARQUET_PATH_GLOBAL%", # placeholder to be replaced by the test + event_timestamp_column="event_timestamp", # Changed to `timestamp_field` in 0.20 + created_timestamp_column="created", +) + + +global_stats_feature_view = FeatureView( + name="global_daily_stats", + entities=[], + ttl=timedelta(days=1), + features=[ # Changed to `schema` in 0.20 + Feature(name="num_rides", dtype=ValueType.INT32), # Changed to `Field` in 0.20 + Feature(name="avg_ride_length", dtype=ValueType.FLOAT), + ], + online=True, + batch_source=global_daily_stats, # Changed to `source` in 0.20 + tags={}, +) diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py index ba18cf84bae..5ba26d2573b 100644 --- a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py +++ b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py @@ -29,6 +29,6 @@ Field(name="avg_daily_trips", dtype=Int64), ], online=True, - batch_source=driver_hourly_stats, + source=driver_hourly_stats, tags={}, ) diff --git a/sdk/python/tests/integration/online_store/test_e2e_local.py b/sdk/python/tests/integration/online_store/test_e2e_local.py index c1aa10900ae..59ea0777a44 100644 --- a/sdk/python/tests/integration/online_store/test_e2e_local.py +++ b/sdk/python/tests/integration/online_store/test_e2e_local.py @@ -6,8 +6,11 @@ import pandas as pd from pytz import utc -import feast.driver_test_data as driver_data -from feast import FeatureStore +from feast.driver_test_data import ( + create_driver_hourly_stats_df, + create_global_daily_stats_df, +) +from feast.feature_store import FeatureStore from tests.utils.cli_utils import CliRunner, get_example_repo @@ -65,6 +68,37 @@ def _assert_online_features( assert "global_daily_stats__avg_ride_length" in result +def _test_materialize_and_online_retrieval( + runner: CliRunner, + store: FeatureStore, + start_date: datetime, + end_date: datetime, + driver_df: pd.DataFrame, +): + assert store.repo_path is not None + + # Test `feast materialize` and online retrieval. + r = runner.run( + [ + "materialize", + start_date.isoformat(), + (end_date - timedelta(days=7)).isoformat(), + ], + cwd=Path(store.repo_path), + ) + + assert r.returncode == 0 + _assert_online_features(store, driver_df, end_date - timedelta(days=7)) + + # Test `feast materialize-incremental` and online retrieval. + r = runner.run( + ["materialize-incremental", end_date.isoformat()], cwd=Path(store.repo_path), + ) + + assert r.returncode == 0 + _assert_online_features(store, driver_df, end_date) + + def test_e2e_local() -> None: """ A more comprehensive than "basic" test, using local provider. @@ -74,60 +108,41 @@ def test_e2e_local() -> None: 3. Ingest some data to online store from parquet 4. Read from the online store to make sure it made it there. """ - runner = CliRunner() with tempfile.TemporaryDirectory() as data_dir: - - # Generate some test data in parquet format. + # Generate test data. end_date = datetime.now().replace(microsecond=0, second=0, minute=0) start_date = end_date - timedelta(days=15) driver_entities = [1001, 1002, 1003, 1004, 1005] - driver_df = driver_data.create_driver_hourly_stats_df( - driver_entities, start_date, end_date - ) + driver_df = create_driver_hourly_stats_df(driver_entities, start_date, end_date) driver_stats_path = os.path.join(data_dir, "driver_stats.parquet") driver_df.to_parquet(path=driver_stats_path, allow_truncated_timestamps=True) - global_df = driver_data.create_global_daily_stats_df(start_date, end_date) + global_df = create_global_daily_stats_df(start_date, end_date) global_stats_path = os.path.join(data_dir, "global_stats.parquet") global_df.to_parquet(path=global_stats_path, allow_truncated_timestamps=True) - # Note that runner takes care of running apply/teardown for us here. - # We patch python code in example_feature_repo_2.py to set the path to Parquet files. with runner.local_repo( get_example_repo("example_feature_repo_2.py") .replace("%PARQUET_PATH%", driver_stats_path) .replace("%PARQUET_PATH_GLOBAL%", global_stats_path), "file", ) as store: - - assert store.repo_path is not None - - # feast materialize - r = runner.run( - [ - "materialize", - start_date.isoformat(), - (end_date - timedelta(days=7)).isoformat(), - ], - cwd=Path(store.repo_path), + _test_materialize_and_online_retrieval( + runner, store, start_date, end_date, driver_df ) - assert r.returncode == 0 - - _assert_online_features(store, driver_df, end_date - timedelta(days=7)) - - # feast materialize-incremental - r = runner.run( - ["materialize-incremental", end_date.isoformat()], - cwd=Path(store.repo_path), + with runner.local_repo( + get_example_repo("example_feature_repo_version_0_19.py") + .replace("%PARQUET_PATH%", driver_stats_path) + .replace("%PARQUET_PATH_GLOBAL%", global_stats_path), + "file", + ) as store: + _test_materialize_and_online_retrieval( + runner, store, start_date, end_date, driver_df ) - assert r.returncode == 0 - - _assert_online_features(store, driver_df, end_date) - # Test a failure case when the parquet file doesn't include a join key with runner.local_repo( get_example_repo("example_feature_repo_with_entity_join_key.py").replace( @@ -135,10 +150,8 @@ def test_e2e_local() -> None: ), "file", ) as store: - assert store.repo_path is not None - # feast materialize returncode, output = runner.run_with_output( [ "materialize", From d4b0b1a5045d04b4031f01c320d810b13180e64c Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Wed, 11 May 2022 11:15:32 -0700 Subject: [PATCH 65/87] chore: Generate environments for each individual test based on its markers/fixtures (#2648) * generating test environments bases on test markers and fixtures Signed-off-by: Oleksii Moskalenko * remove "universal" marker Signed-off-by: Oleksii Moskalenko --- Makefile | 10 +- .../contrib/contrib_repo_configuration.py | 13 +- .../contrib/postgres_repo_configuration.py | 13 +- .../feast/infra/online_stores/datastore.py | 22 +- ...st_benchmark_universal_online_retrieval.py | 1 + sdk/python/tests/conftest.py | 223 ++++++++++++------ .../integration/e2e/test_go_feature_server.py | 68 ++---- .../e2e/test_python_feature_server.py | 4 +- .../integration/e2e/test_universal_e2e.py | 2 +- .../tests/integration/e2e/test_validation.py | 3 +- .../integration_test_repo_config.py | 19 ++ .../feature_repos/repo_configuration.py | 123 +++------- .../feature_repos/universal/feature_views.py | 3 +- .../offline_store/test_feature_logging.py | 2 +- .../test_universal_historical_retrieval.py | 15 +- .../test_push_online_retrieval.py | 2 +- .../online_store/test_universal_online.py | 24 +- .../integration/registration/test_cli.py | 2 +- .../registration/test_inference.py | 1 - .../test_universal_odfv_feature_inference.py | 3 +- .../registration/test_universal_types.py | 183 +++++++------- 21 files changed, 368 insertions(+), 368 deletions(-) diff --git a/Makefile b/Makefile index 41e91667565..03a627edf55 100644 --- a/Makefile +++ b/Makefile @@ -76,7 +76,7 @@ test-python-universal-contrib: FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.contrib_repo_configuration \ PYTEST_PLUGINS=feast.infra.offline_stores.contrib.trino_offline_store.tests \ FEAST_USAGE=False IS_TEST=True \ - python -m pytest -n 8 --integration --universal \ + python -m pytest -n 8 --integration \ -k "not test_historical_retrieval_fails_on_validation and \ not test_historical_retrieval_with_validation and \ not test_historical_features_persisting and \ @@ -93,7 +93,7 @@ test-python-universal-postgres: PYTEST_PLUGINS=sdk.python.feast.infra.offline_stores.contrib.postgres_offline_store.tests \ FEAST_USAGE=False \ IS_TEST=True \ - python -m pytest -x --integration --universal \ + python -m pytest -x --integration \ -k "not test_historical_retrieval_fails_on_validation and \ not test_historical_retrieval_with_validation and \ not test_historical_features_persisting and \ @@ -105,10 +105,10 @@ test-python-universal-postgres: sdk/python/tests test-python-universal-local: - FEAST_USAGE=False IS_TEST=True FEAST_IS_LOCAL_TEST=True python -m pytest -n 8 --integration --universal sdk/python/tests + FEAST_USAGE=False IS_TEST=True FEAST_IS_LOCAL_TEST=True python -m pytest -n 8 --integration sdk/python/tests test-python-universal: - FEAST_USAGE=False IS_TEST=True python -m pytest -n 8 --integration --universal sdk/python/tests + FEAST_USAGE=False IS_TEST=True python -m pytest -n 8 --integration sdk/python/tests test-python-go-server: compile-go-lib FEAST_USAGE=False IS_TEST=True FEAST_GO_FEATURE_RETRIEVAL=True pytest --integration --goserver sdk/python/tests @@ -158,7 +158,7 @@ start-trino-locally: sleep 15 test-trino-plugin-locally: - cd ${ROOT_DIR}/sdk/python; FULL_REPO_CONFIGS_MODULE=feast.infra.offline_stores.contrib.trino_offline_store.test_config.manual_tests FEAST_USAGE=False IS_TEST=True python -m pytest --integration --universal tests/ + cd ${ROOT_DIR}/sdk/python; FULL_REPO_CONFIGS_MODULE=feast.infra.offline_stores.contrib.trino_offline_store.test_config.manual_tests FEAST_USAGE=False IS_TEST=True python -m pytest --integration tests/ kill-trino-locally: cd ${ROOT_DIR}; docker stop trino diff --git a/sdk/python/feast/infra/offline_stores/contrib/contrib_repo_configuration.py b/sdk/python/feast/infra/offline_stores/contrib/contrib_repo_configuration.py index 0346f6cf3a7..083ec2b2109 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/contrib_repo_configuration.py +++ b/sdk/python/feast/infra/offline_stores/contrib/contrib_repo_configuration.py @@ -4,11 +4,14 @@ from feast.infra.offline_stores.contrib.trino_offline_store.tests.data_source import ( TrinoSourceCreator, ) -from tests.integration.feature_repos.integration_test_repo_config import ( - IntegrationTestRepoConfig, +from tests.integration.feature_repos.repo_configuration import REDIS_CONFIG +from tests.integration.feature_repos.universal.online_store.redis import ( + RedisOnlineStoreCreator, ) -FULL_REPO_CONFIGS = [ - IntegrationTestRepoConfig(offline_store_creator=SparkDataSourceCreator), - IntegrationTestRepoConfig(offline_store_creator=TrinoSourceCreator), +AVAILABLE_OFFLINE_STORES = [ + ("local", SparkDataSourceCreator), + ("local", TrinoSourceCreator), ] + +AVAILABLE_ONLINE_STORES = {"redis": (REDIS_CONFIG, RedisOnlineStoreCreator)} diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py index 288c0574b1e..9b107aa7a30 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py +++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_repo_configuration.py @@ -1,14 +1,7 @@ from feast.infra.offline_stores.contrib.postgres_offline_store.tests.data_source import ( PostgreSQLDataSourceCreator, ) -from tests.integration.feature_repos.integration_test_repo_config import ( - IntegrationTestRepoConfig, -) -FULL_REPO_CONFIGS = [ - IntegrationTestRepoConfig( - provider="local", - offline_store_creator=PostgreSQLDataSourceCreator, - online_store_creator=PostgreSQLDataSourceCreator, - ), -] +AVAILABLE_OFFLINE_STORES = [("local", PostgreSQLDataSourceCreator)] + +AVAILABLE_ONLINE_STORES = {"postgres": (None, PostgreSQLDataSourceCreator)} diff --git a/sdk/python/feast/infra/online_stores/datastore.py b/sdk/python/feast/infra/online_stores/datastore.py index e975ce138ca..fc3659ea1ae 100644 --- a/sdk/python/feast/infra/online_stores/datastore.py +++ b/sdk/python/feast/infra/online_stores/datastore.py @@ -15,7 +15,7 @@ import logging from datetime import datetime from multiprocessing.pool import ThreadPool -from queue import Queue +from queue import Empty, Queue from threading import Lock, Thread from typing import Any, Callable, Dict, Iterator, List, Optional, Sequence, Tuple @@ -292,22 +292,24 @@ def increment(self): def worker(shared_counter): while True: - client.delete_multi(deletion_queue.get()) + try: + job = deletion_queue.get(block=False) + except Empty: + return + + client.delete_multi(job) shared_counter.increment() LOGGER.debug( f"batch deletions completed: {shared_counter.value} ({shared_counter.value * BATCH_SIZE} total entries) & outstanding queue size: {deletion_queue.qsize()}" ) deletion_queue.task_done() - for _ in range(NUM_THREADS): - Thread(target=worker, args=(status_info_counter,), daemon=True).start() - query = client.query(kind="Row", ancestor=key) - while True: - entities = list(query.fetch(limit=BATCH_SIZE)) - if not entities: - break - deletion_queue.put([entity.key for entity in entities]) + for page in query.fetch().pages: + deletion_queue.put([entity.key for entity in page]) + + for _ in range(NUM_THREADS): + Thread(target=worker, args=(status_info_counter,)).start() deletion_queue.join() diff --git a/sdk/python/tests/benchmarks/test_benchmark_universal_online_retrieval.py b/sdk/python/tests/benchmarks/test_benchmark_universal_online_retrieval.py index a29383a5c9c..6e22c93e5f6 100644 --- a/sdk/python/tests/benchmarks/test_benchmark_universal_online_retrieval.py +++ b/sdk/python/tests/benchmarks/test_benchmark_universal_online_retrieval.py @@ -17,6 +17,7 @@ @pytest.mark.benchmark @pytest.mark.integration +@pytest.mark.universal_online_stores def test_online_retrieval(environment, universal_data_sources, benchmark): fs = environment.feature_store entities, datasets, data_sources = universal_data_sources diff --git a/sdk/python/tests/conftest.py b/sdk/python/tests/conftest.py index 7c934d620e5..d492c7ba845 100644 --- a/sdk/python/tests/conftest.py +++ b/sdk/python/tests/conftest.py @@ -13,30 +13,34 @@ # limitations under the License. import logging import multiprocessing -import time +import socket +from contextlib import closing from datetime import datetime, timedelta from multiprocessing import Process from sys import platform -from typing import List +from typing import Any, Dict, List import pandas as pd import pytest from _pytest.nodes import Item from feast import FeatureStore +from feast.wait import wait_retry_backoff from tests.data.data_creator import create_dataset from tests.integration.feature_repos.integration_test_repo_config import ( IntegrationTestRepoConfig, ) from tests.integration.feature_repos.repo_configuration import ( - FULL_REPO_CONFIGS, - REDIS_CLUSTER_CONFIG, - REDIS_CONFIG, + AVAILABLE_OFFLINE_STORES, + AVAILABLE_ONLINE_STORES, Environment, TestData, construct_test_environment, construct_universal_test_data, ) +from tests.integration.feature_repos.universal.data_sources.file import ( + FileDataSourceCreator, +) logger = logging.getLogger(__name__) @@ -50,9 +54,6 @@ def pytest_configure(config): "markers", "integration: mark test that has external dependencies" ) config.addinivalue_line("markers", "benchmark: mark benchmarking tests") - config.addinivalue_line( - "markers", "universal: mark tests that use the universal feature repo" - ) config.addinivalue_line( "markers", "goserver: mark tests that use the go feature server" ) @@ -68,9 +69,6 @@ def pytest_addoption(parser): parser.addoption( "--benchmark", action="store_true", default=False, help="Run benchmark tests", ) - parser.addoption( - "--universal", action="store_true", default=False, help="Run universal tests", - ) parser.addoption( "--goserver", action="store_true", @@ -82,7 +80,6 @@ def pytest_addoption(parser): def pytest_collection_modifyitems(config, items: List[Item]): should_run_integration = config.getoption("--integration") is True should_run_benchmark = config.getoption("--benchmark") is True - should_run_universal = config.getoption("--universal") is True should_run_goserver = config.getoption("--goserver") is True integration_tests = [t for t in items if "integration" in t.keywords] @@ -103,12 +100,6 @@ def pytest_collection_modifyitems(config, items: List[Item]): for t in benchmark_tests: items.append(t) - universal_tests = [t for t in items if "universal" in t.keywords] - if should_run_universal: - items.clear() - for t in universal_tests: - items.append(t) - goserver_tests = [t for t in items if "goserver" in t.keywords] if should_run_goserver: items.clear() @@ -161,86 +152,168 @@ def start_test_local_server(repo_path: str, port: int): fs.serve("localhost", port, no_access_log=True) -@pytest.fixture( - params=FULL_REPO_CONFIGS, scope="session", ids=[str(c) for c in FULL_REPO_CONFIGS] -) -def environment(request, worker_id: str): +@pytest.fixture(scope="session") +def environment(request, worker_id): e = construct_test_environment( request.param, worker_id=worker_id, fixture_request=request ) + + yield e + + e.feature_store.teardown() + e.data_source_creator.teardown() + if e.online_store_creator: + e.online_store_creator.teardown() + + +_config_cache = {} + + +def pytest_generate_tests(metafunc: pytest.Metafunc): + """ + This function receives each test function (wrapped in Metafunc) + at the collection stage (before tests started). + Here we can access all fixture requests made by the test as well as its markers. + That allows us to dynamically parametrize the test based on markers and fixtures + by calling metafunc.parametrize(...). + + See more examples at https://docs.pytest.org/en/6.2.x/example/parametrize.html#paramexamples + + We also utilize indirect parametrization here. Since `environment` is a fixture, + when we call metafunc.parametrize("environment", ..., indirect=True) we actually + parametrizing this "environment" fixture and not the test itself. + Moreover, by utilizing `_config_cache` we are able to share `environment` fixture between different tests. + In order for pytest to group tests together (and share environment fixture) + parameter should point to the same Python object (hence, we use _config_cache dict to store those objects). + """ + if "environment" in metafunc.fixturenames: + markers = {m.name: m for m in metafunc.definition.own_markers} + + if "universal_offline_stores" in markers: + offline_stores = AVAILABLE_OFFLINE_STORES + else: + # default offline store for testing online store dimension + offline_stores = [("local", FileDataSourceCreator)] + + online_stores = None + if "universal_online_stores" in markers: + # Online stores are explicitly requested + if "only" in markers["universal_online_stores"].kwargs: + online_stores = [ + AVAILABLE_ONLINE_STORES.get(store_name) + for store_name in markers["universal_online_stores"].kwargs["only"] + if store_name in AVAILABLE_ONLINE_STORES + ] + else: + online_stores = AVAILABLE_ONLINE_STORES.values() + + if online_stores is None: + # No online stores requested -> setting the default or first available + online_stores = [ + AVAILABLE_ONLINE_STORES.get( + "redis", + AVAILABLE_ONLINE_STORES.get( + "sqlite", next(iter(AVAILABLE_ONLINE_STORES.values())) + ), + ) + ] + + extra_dimensions: List[Dict[str, Any]] = [{}] + + if "python_server" in metafunc.fixturenames: + extra_dimensions.extend( + [ + {"python_feature_server": True}, + {"python_feature_server": True, "provider": "aws"}, + ] + ) + + if "goserver" in markers: + extra_dimensions.append({"go_feature_retrieval": True}) + + configs = [] + for provider, offline_store_creator in offline_stores: + for online_store, online_store_creator in online_stores: + for dim in extra_dimensions: + config = { + "provider": provider, + "offline_store_creator": offline_store_creator, + "online_store": online_store, + "online_store_creator": online_store_creator, + **dim, + } + # temporary Go works only with redis + if config.get("go_feature_retrieval") and ( + not isinstance(online_store, dict) + or online_store["type"] != "redis" + ): + continue + + # aws lambda works only with dynamo + if ( + config.get("python_feature_server") + and config.get("provider") == "aws" + and ( + not isinstance(online_store, dict) + or online_store["type"] != "dynamodb" + ) + ): + continue + + c = IntegrationTestRepoConfig(**config) + + if c not in _config_cache: + _config_cache[c] = c + + configs.append(_config_cache[c]) + + metafunc.parametrize( + "environment", configs, indirect=True, ids=[str(c) for c in configs] + ) + + +@pytest.fixture(scope="session") +def python_server(environment): proc = Process( target=start_test_local_server, - args=(e.feature_store.repo_path, e.get_local_server_port()), + args=(environment.feature_store.repo_path, environment.get_local_server_port()), daemon=True, ) - if e.python_feature_server and e.test_repo_config.provider == "local": + if ( + environment.python_feature_server + and environment.test_repo_config.provider == "local" + ): proc.start() # Wait for server to start - time.sleep(3) + wait_retry_backoff( + lambda: ( + None, + _check_port_open("localhost", environment.get_local_server_port()), + ), + timeout_secs=10, + ) - def cleanup(): - e.feature_store.teardown() - if proc.is_alive(): - proc.kill() - if e.online_store_creator: - e.online_store_creator.teardown() + yield - request.addfinalizer(cleanup) + if proc.is_alive(): + proc.kill() - return e - -@pytest.fixture( - params=[REDIS_CONFIG, REDIS_CLUSTER_CONFIG], - scope="session", - ids=[str(c) for c in [REDIS_CONFIG, REDIS_CLUSTER_CONFIG]], -) -def local_redis_environment(request, worker_id): - e = construct_test_environment( - IntegrationTestRepoConfig(online_store=request.param), - worker_id=worker_id, - fixture_request=request, - ) - - def cleanup(): - e.feature_store.teardown() - - request.addfinalizer(cleanup) - return e +def _check_port_open(host, port) -> bool: + with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as sock: + return sock.connect_ex((host, port)) == 0 @pytest.fixture(scope="session") -def universal_data_sources(request, environment) -> TestData: - def cleanup(): - # logger.info("Running cleanup in %s, Request: %s", worker_id, request.param) - environment.data_source_creator.teardown() - - request.addfinalizer(cleanup) +def universal_data_sources(environment) -> TestData: return construct_universal_test_data(environment) @pytest.fixture(scope="session") -def redis_universal_data_sources(request, local_redis_environment): - def cleanup(): - # logger.info("Running cleanup in %s, Request: %s", worker_id, request.param) - local_redis_environment.data_source_creator.teardown() - - request.addfinalizer(cleanup) - return construct_universal_test_data(local_redis_environment) - - -@pytest.fixture(scope="session") -def e2e_data_sources(environment: Environment, request): +def e2e_data_sources(environment: Environment): df = create_dataset() data_source = environment.data_source_creator.create_data_source( df, environment.feature_store.project, field_mapping={"ts_1": "ts"}, ) - def cleanup(): - environment.data_source_creator.teardown() - if environment.online_store_creator: - environment.online_store_creator.teardown() - - request.addfinalizer(cleanup) - return df, data_source diff --git a/sdk/python/tests/integration/e2e/test_go_feature_server.py b/sdk/python/tests/integration/e2e/test_go_feature_server.py index 6d165b86a52..e469c90c11f 100644 --- a/sdk/python/tests/integration/e2e/test_go_feature_server.py +++ b/sdk/python/tests/integration/e2e/test_go_feature_server.py @@ -24,16 +24,8 @@ from feast.protos.feast.types.Value_pb2 import RepeatedValue from feast.type_map import python_values_to_proto_values from feast.wait import wait_retry_backoff -from tests.integration.feature_repos.integration_test_repo_config import ( - IntegrationTestRepoConfig, -) from tests.integration.feature_repos.repo_configuration import ( - AVAILABLE_OFFLINE_STORES, - AVAILABLE_ONLINE_STORES, - REDIS_CONFIG, - construct_test_environment, construct_universal_feature_views, - construct_universal_test_data, ) from tests.integration.feature_repos.universal.entities import ( customer, @@ -41,53 +33,23 @@ location, ) -LOCAL_REPO_CONFIGS = [ - IntegrationTestRepoConfig(online_store=REDIS_CONFIG, go_feature_retrieval=True), -] -LOCAL_REPO_CONFIGS = [ - c - for c in LOCAL_REPO_CONFIGS - if c.offline_store_creator in AVAILABLE_OFFLINE_STORES - and c.online_store in AVAILABLE_ONLINE_STORES -] - NANOSECOND = 1 MILLISECOND = 1000_000 * NANOSECOND SECOND = 1000 * MILLISECOND -@pytest.fixture( - params=LOCAL_REPO_CONFIGS, - ids=[str(c) for c in LOCAL_REPO_CONFIGS], - scope="session", -) -def local_environment(request): - e = construct_test_environment(request.param, fixture_request=request) - - def cleanup(): - e.feature_store.teardown() - - request.addfinalizer(cleanup) - return e - - -@pytest.fixture(scope="session") -def test_data(local_environment): - return construct_universal_test_data(local_environment) - - @pytest.fixture(scope="session") -def initialized_registry(local_environment, test_data): - fs = local_environment.feature_store +def initialized_registry(environment, universal_data_sources): + fs = environment.feature_store - _, _, data_sources = test_data + _, _, data_sources = universal_data_sources feature_views = construct_universal_feature_views(data_sources) feature_service = FeatureService( name="driver_features", features=[feature_views.driver], logging_config=LoggingConfig( - destination=local_environment.data_source_creator.create_logged_features_destination(), + destination=environment.data_source_creator.create_logged_features_destination(), sample_rate=1.0, ), ) @@ -96,12 +58,15 @@ def initialized_registry(local_environment, test_data): feast_objects.extend([driver(), customer(), location()]) fs.apply(feast_objects) - fs.materialize(local_environment.start_date, local_environment.end_date) + fs.materialize(environment.start_date, environment.end_date) @pytest.fixture -def grpc_server_port(local_environment, initialized_registry): - fs = local_environment.feature_store +def grpc_server_port(environment, initialized_registry): + if not environment.test_repo_config.go_feature_retrieval: + pytest.skip("Only for Go path") + + fs = environment.feature_store embedded = EmbeddedOnlineFeatureServer( repo_path=str(fs.repo_path.absolute()), repo_config=fs.config, feature_store=fs, @@ -140,7 +105,7 @@ def grpc_client(grpc_server_port): @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.goserver def test_go_grpc_server(grpc_client): resp: GetOnlineFeaturesResponse = grpc_client.GetOnlineFeatures( GetOnlineFeaturesRequest( @@ -166,10 +131,13 @@ def test_go_grpc_server(grpc_client): @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.goserver +@pytest.mark.universal_offline_stores @pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) -def test_feature_logging(grpc_client, local_environment, test_data, full_feature_names): - fs = local_environment.feature_store +def test_feature_logging( + grpc_client, environment, universal_data_sources, full_feature_names +): + fs = environment.feature_store feature_service = fs.get_feature_service("driver_features") log_start_date = datetime.now().astimezone(pytz.UTC) driver_ids = list(range(5001, 5011)) @@ -192,7 +160,7 @@ def test_feature_logging(grpc_client, local_environment, test_data, full_feature # with some pause time.sleep(0.1) - _, datasets, _ = test_data + _, datasets, _ = universal_data_sources latest_rows = get_latest_rows(datasets.driver_df, "driver_id", driver_ids) features = [ feature.name diff --git a/sdk/python/tests/integration/e2e/test_python_feature_server.py b/sdk/python/tests/integration/e2e/test_python_feature_server.py index 36edc8df444..ea4c35a1ca9 100644 --- a/sdk/python/tests/integration/e2e/test_python_feature_server.py +++ b/sdk/python/tests/integration/e2e/test_python_feature_server.py @@ -23,7 +23,7 @@ @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_online_stores def test_get_online_features(python_fs_client): request_data_dict = { "features": [ @@ -61,7 +61,7 @@ def test_get_online_features(python_fs_client): @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_online_stores def test_push(python_fs_client): initial_temp = get_temperatures(python_fs_client, location_ids=[1])[0] json_data = json.dumps( diff --git a/sdk/python/tests/integration/e2e/test_universal_e2e.py b/sdk/python/tests/integration/e2e/test_universal_e2e.py index 84c10bda846..a42a96e594b 100644 --- a/sdk/python/tests/integration/e2e/test_universal_e2e.py +++ b/sdk/python/tests/integration/e2e/test_universal_e2e.py @@ -12,7 +12,7 @@ @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_online_stores @pytest.mark.parametrize("infer_features", [True, False]) def test_e2e_consistency(environment, e2e_data_sources, infer_features): fs = environment.feature_store diff --git a/sdk/python/tests/integration/e2e/test_validation.py b/sdk/python/tests/integration/e2e/test_validation.py index 76bbe152c57..e434f1a133f 100644 --- a/sdk/python/tests/integration/e2e/test_validation.py +++ b/sdk/python/tests/integration/e2e/test_validation.py @@ -58,7 +58,7 @@ def profiler_with_unrealistic_expectations(dataset: PandasDataset) -> Expectatio @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_offline_stores def test_historical_retrieval_with_validation(environment, universal_data_sources): store = environment.feature_store (entities, datasets, data_sources) = universal_data_sources @@ -88,7 +88,6 @@ def test_historical_retrieval_with_validation(environment, universal_data_source @pytest.mark.integration -@pytest.mark.universal def test_historical_retrieval_fails_on_validation(environment, universal_data_sources): store = environment.feature_store diff --git a/sdk/python/tests/integration/feature_repos/integration_test_repo_config.py b/sdk/python/tests/integration/feature_repos/integration_test_repo_config.py index d014719bd0a..61920bb03f8 100644 --- a/sdk/python/tests/integration/feature_repos/integration_test_repo_config.py +++ b/sdk/python/tests/integration/feature_repos/integration_test_repo_config.py @@ -1,3 +1,4 @@ +import hashlib from dataclasses import dataclass from typing import Dict, Optional, Type, Union @@ -50,5 +51,23 @@ def __repr__(self) -> str: f"{self.provider.upper()}", f"{self.offline_store_creator.__name__.split('.')[-1].replace('DataSourceCreator', '')}", online_store_type, + f"python_fs={self.python_feature_server}", + f"go_fs={self.go_feature_retrieval}", ] ) + + def __hash__(self): + return int(hashlib.sha1(repr(self).encode()).hexdigest(), 16) + + def __eq__(self, other): + if not isinstance(other, IntegrationTestRepoConfig): + return False + + return ( + self.provider == other.provider + and self.online_store == other.online_store + and self.offline_store_creator == other.offline_store_creator + and self.online_store_creator == other.online_store_creator + and self.go_feature_retrieval == other.go_feature_retrieval + and self.python_feature_server == other.python_feature_server + ) diff --git a/sdk/python/tests/integration/feature_repos/repo_configuration.py b/sdk/python/tests/integration/feature_repos/repo_configuration.py index 7b596bd764a..a4f740c7349 100644 --- a/sdk/python/tests/integration/feature_repos/repo_configuration.py +++ b/sdk/python/tests/integration/feature_repos/repo_configuration.py @@ -8,7 +8,7 @@ from dataclasses import dataclass from datetime import datetime, timedelta from pathlib import Path -from typing import Any, List, Optional, Tuple, Union +from typing import Any, Dict, List, Optional, Tuple, Type, Union import pandas as pd import pytest @@ -73,114 +73,54 @@ "connection_string": "127.0.0.1:6001,127.0.0.1:6002,127.0.0.1:6003", } -AVAILABLE_OFFLINE_STORES: List[Any] = [ - FileDataSourceCreator, +AVAILABLE_OFFLINE_STORES: List[Tuple[str, Type[DataSourceCreator]]] = [ + ("local", FileDataSourceCreator), ] -AVAILABLE_ONLINE_STORES: List[Any] = [ - "sqlite", -] +AVAILABLE_ONLINE_STORES: Dict[ + str, Tuple[Union[str, Dict[str, str]], Optional[Type[OnlineStoreCreator]]] +] = { + "sqlite": ({"type": "sqlite"}, None), +} if os.getenv("FEAST_IS_LOCAL_TEST", "False") != "True": AVAILABLE_OFFLINE_STORES.extend( [ - BigQueryDataSourceCreator, - RedshiftDataSourceCreator, - SnowflakeDataSourceCreator, + ("gcp", BigQueryDataSourceCreator), + ("aws", RedshiftDataSourceCreator), + ("aws", SnowflakeDataSourceCreator), ] ) - AVAILABLE_ONLINE_STORES.extend([REDIS_CONFIG, DYNAMO_CONFIG]) - -# FULL_REPO_CONFIGS contains the repo configurations (e.g. provider, offline store, -# online store, test data, and more parameters) that most integration tests will test -# against. By default, FULL_REPO_CONFIGS uses the three providers (local, GCP, and AWS) -# with their default offline and online stores; it also tests the providers with the -# Redis online store. It can be overwritten by specifying a Python module through the -# FULL_REPO_CONFIGS_MODULE_ENV_NAME environment variable. In this case, that Python -# module will be imported and FULL_REPO_CONFIGS will be extracted from the file. -DEFAULT_FULL_REPO_CONFIGS: List[IntegrationTestRepoConfig] = [ - # Local configurations - IntegrationTestRepoConfig(), - IntegrationTestRepoConfig(python_feature_server=True), - IntegrationTestRepoConfig(online_store=REDIS_CONFIG), - # GCP configurations - IntegrationTestRepoConfig( - provider="gcp", - offline_store_creator=BigQueryDataSourceCreator, - online_store="datastore", - ), - IntegrationTestRepoConfig( - provider="gcp", - offline_store_creator=BigQueryDataSourceCreator, - online_store=REDIS_CONFIG, - ), - # AWS configurations - IntegrationTestRepoConfig( - provider="aws", - offline_store_creator=RedshiftDataSourceCreator, - online_store=DYNAMO_CONFIG, - python_feature_server=True, - ), - IntegrationTestRepoConfig( - provider="aws", - offline_store_creator=RedshiftDataSourceCreator, - online_store=REDIS_CONFIG, - ), - # Snowflake configurations - IntegrationTestRepoConfig( - provider="aws", # no list features, no feature server - offline_store_creator=SnowflakeDataSourceCreator, - online_store=REDIS_CONFIG, - ), - # Go implementation for online retrieval - IntegrationTestRepoConfig(online_store=REDIS_CONFIG, go_feature_retrieval=True,), - # TODO(felixwang9817): Enable this test once https://github.com/feast-dev/feast/issues/2544 is resolved. - # IntegrationTestRepoConfig( - # online_store=REDIS_CONFIG, - # python_feature_server=True, - # go_feature_retrieval=True, - # ), -] + AVAILABLE_ONLINE_STORES["redis"] = (REDIS_CONFIG, None) + AVAILABLE_ONLINE_STORES["dynamodb"] = (DYNAMO_CONFIG, None) + AVAILABLE_ONLINE_STORES["datastore"] = ("datastore", None) -DEFAULT_FULL_REPO_CONFIGS = [ - c - for c in DEFAULT_FULL_REPO_CONFIGS - if c.online_store in AVAILABLE_ONLINE_STORES - and c.offline_store_creator in AVAILABLE_OFFLINE_STORES -] -if os.getenv("FEAST_GO_FEATURE_RETRIEVAL", "False") == "True": - DEFAULT_FULL_REPO_CONFIGS = [ - IntegrationTestRepoConfig( - online_store=REDIS_CONFIG, go_feature_retrieval=True, - ), - ] full_repo_configs_module = os.environ.get(FULL_REPO_CONFIGS_MODULE_ENV_NAME) if full_repo_configs_module is not None: try: module = importlib.import_module(full_repo_configs_module) - FULL_REPO_CONFIGS = getattr(module, "FULL_REPO_CONFIGS") + AVAILABLE_ONLINE_STORES = getattr(module, "AVAILABLE_ONLINE_STORES") + AVAILABLE_OFFLINE_STORES = getattr(module, "AVAILABLE_OFFLINE_STORES") except Exception as e: raise FeastModuleImportError( "FULL_REPO_CONFIGS", full_repo_configs_module ) from e -else: - FULL_REPO_CONFIGS = DEFAULT_FULL_REPO_CONFIGS + if os.getenv("FEAST_LOCAL_ONLINE_CONTAINER", "False").lower() == "true": - replacements = {"datastore": DatastoreOnlineStoreCreator} - replacement_dicts = [ - (REDIS_CONFIG, RedisOnlineStoreCreator), - (DYNAMO_CONFIG, DynamoDBOnlineStoreCreator), - ] - for c in FULL_REPO_CONFIGS: - if isinstance(c.online_store, dict): - for _replacement in replacement_dicts: - if c.online_store == _replacement[0]: - c.online_store_creator = _replacement[1] - elif c.online_store in replacements: - c.online_store_creator = replacements[c.online_store] + replacements: Dict[ + str, Tuple[Union[str, Dict[str, str]], Optional[Type[OnlineStoreCreator]]] + ] = { + "redis": (REDIS_CONFIG, RedisOnlineStoreCreator), + "dynamodb": (DYNAMO_CONFIG, DynamoDBOnlineStoreCreator), + "datastore": ("datastore", DatastoreOnlineStoreCreator), + } + + for key, replacement in replacements.items(): + if key in AVAILABLE_ONLINE_STORES: + AVAILABLE_ONLINE_STORES[key] = replacement @dataclass @@ -364,10 +304,15 @@ class Environment: worker_id: str online_store_creator: Optional[OnlineStoreCreator] = None + next_id = 0 + def __post_init__(self): self.end_date = datetime.utcnow().replace(microsecond=0, second=0, minute=0) self.start_date: datetime = self.end_date - timedelta(days=3) + Environment.next_id += 1 + self.id = Environment.next_id + def get_feature_server_endpoint(self) -> str: if self.python_feature_server and self.test_repo_config.provider == "local": return f"http://localhost:{self.get_local_server_port()}" @@ -380,7 +325,7 @@ def get_local_server_port(self) -> int: worker_id_num = int(parsed_worker_id[0]) else: worker_id_num = 0 - return 6566 + worker_id_num + return 6000 + 100 * worker_id_num + self.id def table_name_from_data_source(ds: DataSource) -> Optional[str]: diff --git a/sdk/python/tests/integration/feature_repos/universal/feature_views.py b/sdk/python/tests/integration/feature_repos/universal/feature_views.py index 26c2513995f..3e05f5d7e5f 100644 --- a/sdk/python/tests/integration/feature_repos/universal/feature_views.py +++ b/sdk/python/tests/integration/feature_repos/universal/feature_views.py @@ -23,10 +23,11 @@ def driver_feature_view( name="test_correctness", infer_features: bool = False, dtype: FeastType = Float32, + entities: Optional[List[str]] = None, ) -> FeatureView: return FeatureView( name=name, - entities=["driver"], + entities=entities or ["driver"], schema=None if infer_features else [Field(name="value", dtype=dtype)], ttl=timedelta(days=5), source=data_source, diff --git a/sdk/python/tests/integration/offline_store/test_feature_logging.py b/sdk/python/tests/integration/offline_store/test_feature_logging.py index 6dda2e63a9d..8e7e9d68bea 100644 --- a/sdk/python/tests/integration/offline_store/test_feature_logging.py +++ b/sdk/python/tests/integration/offline_store/test_feature_logging.py @@ -31,7 +31,7 @@ @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_offline_stores @pytest.mark.parametrize("pass_as_path", [True, False], ids=lambda v: str(v)) def test_feature_service_logging(environment, universal_data_sources, pass_as_path): store = environment.feature_store diff --git a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py index b62f7cda243..1b7dab2110d 100644 --- a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py +++ b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py @@ -280,7 +280,7 @@ def get_expected_training_df( @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_offline_stores @pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) def test_historical_features(environment, universal_data_sources, full_feature_names): store = environment.feature_store @@ -411,10 +411,9 @@ def test_historical_features(environment, universal_data_sources, full_feature_n @pytest.mark.integration -@pytest.mark.universal -@pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) +@pytest.mark.universal_offline_stores def test_historical_features_with_missing_request_data( - environment, universal_data_sources, full_feature_names + environment, universal_data_sources ): store = environment.feature_store @@ -437,12 +436,12 @@ def test_historical_features_with_missing_request_data( "global_stats:avg_ride_length", "field_mapping:feature_name", ], - full_feature_names=full_feature_names, + full_feature_names=True, ) @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_offline_stores @pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) def test_historical_features_with_entities_from_query( environment, universal_data_sources, full_feature_names @@ -542,7 +541,7 @@ def test_historical_features_with_entities_from_query( @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_offline_stores @pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) def test_historical_features_persisting( environment, universal_data_sources, full_feature_names @@ -621,7 +620,7 @@ def test_historical_features_persisting( @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_offline_stores def test_historical_features_from_bigquery_sources_containing_backfills(environment): store = environment.feature_store diff --git a/sdk/python/tests/integration/online_store/test_push_online_retrieval.py b/sdk/python/tests/integration/online_store/test_push_online_retrieval.py index 9e9ec953c73..aa7e3e7f530 100644 --- a/sdk/python/tests/integration/online_store/test_push_online_retrieval.py +++ b/sdk/python/tests/integration/online_store/test_push_online_retrieval.py @@ -14,7 +14,7 @@ @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_online_stores def test_push_features_and_read(environment, universal_data_sources): store = environment.feature_store diff --git a/sdk/python/tests/integration/online_store/test_universal_online.py b/sdk/python/tests/integration/online_store/test_universal_online.py index f4440dbfbcf..ababb25c396 100644 --- a/sdk/python/tests/integration/online_store/test_universal_online.py +++ b/sdk/python/tests/integration/online_store/test_universal_online.py @@ -38,13 +38,14 @@ @pytest.mark.integration -def test_entity_ttl_online_store(local_redis_environment, redis_universal_data_sources): +@pytest.mark.universal_online_stores(only=["redis"]) +def test_entity_ttl_online_store(environment, universal_data_sources): if os.getenv("FEAST_IS_LOCAL_TEST", "False") == "True": return - fs = local_redis_environment.feature_store + fs = environment.feature_store # setting ttl setting in online store to 1 second fs.config.online_store.key_ttl_seconds = 1 - entities, datasets, data_sources = redis_universal_data_sources + entities, datasets, data_sources = universal_data_sources driver_hourly_stats = create_driver_hourly_stats_feature_view(data_sources.driver) driver_entity = driver() @@ -98,10 +99,11 @@ def test_entity_ttl_online_store(local_redis_environment, redis_universal_data_s # TODO: make this work with all universal (all online store types) @pytest.mark.integration -def test_write_to_online_store_event_check(local_redis_environment): +@pytest.mark.universal_online_stores(only=["redis"]) +def test_write_to_online_store_event_check(environment): if os.getenv("FEAST_IS_LOCAL_TEST", "False") == "True": return - fs = local_redis_environment.feature_store + fs = environment.feature_store # write same data points 3 with different timestamps now = pd.Timestamp(datetime.datetime.utcnow()).round("ms") @@ -198,7 +200,7 @@ def test_write_to_online_store_event_check(local_redis_environment): @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_online_stores def test_write_to_online_store(environment, universal_data_sources): fs = environment.feature_store entities, datasets, data_sources = universal_data_sources @@ -323,7 +325,7 @@ def get_online_features_dict( @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_online_stores @pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) def test_online_retrieval_with_event_timestamps( environment, universal_data_sources, full_feature_names @@ -387,10 +389,12 @@ def test_online_retrieval_with_event_timestamps( @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_online_stores @pytest.mark.goserver @pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) -def test_online_retrieval(environment, universal_data_sources, full_feature_names): +def test_online_retrieval( + environment, universal_data_sources, python_server, full_feature_names +): fs = environment.feature_store entities, datasets, data_sources = universal_data_sources feature_views = construct_universal_feature_views(data_sources) @@ -610,7 +614,7 @@ def test_online_retrieval(environment, universal_data_sources, full_feature_name @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_online_stores(only=["redis"]) def test_online_store_cleanup(environment, universal_data_sources): """ Some online store implementations (like Redis) keep features from different features views diff --git a/sdk/python/tests/integration/registration/test_cli.py b/sdk/python/tests/integration/registration/test_cli.py index 655e53e7593..ce23ed66a60 100644 --- a/sdk/python/tests/integration/registration/test_cli.py +++ b/sdk/python/tests/integration/registration/test_cli.py @@ -32,7 +32,7 @@ @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_offline_stores def test_universal_cli(environment: Environment): project = f"test_universal_cli_{str(uuid.uuid4()).replace('-', '')[:8]}" runner = CliRunner() diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py index b1fb509d753..6cf49c31db8 100644 --- a/sdk/python/tests/integration/registration/test_inference.py +++ b/sdk/python/tests/integration/registration/test_inference.py @@ -145,7 +145,6 @@ def test_update_file_data_source_with_inferred_event_timestamp_col(simple_datase @pytest.mark.integration -@pytest.mark.universal def test_update_data_sources_with_inferred_event_timestamp_col(universal_data_sources): (_, _, data_sources) = universal_data_sources data_sources_copy = deepcopy(data_sources) diff --git a/sdk/python/tests/integration/registration/test_universal_odfv_feature_inference.py b/sdk/python/tests/integration/registration/test_universal_odfv_feature_inference.py index 04cb56367bd..b7a9a571af6 100644 --- a/sdk/python/tests/integration/registration/test_universal_odfv_feature_inference.py +++ b/sdk/python/tests/integration/registration/test_universal_odfv_feature_inference.py @@ -19,7 +19,7 @@ @pytest.mark.integration -@pytest.mark.universal +@pytest.mark.universal_offline_stores @pytest.mark.parametrize("infer_features", [True, False], ids=lambda v: str(v)) def test_infer_odfv_features(environment, universal_data_sources, infer_features): store = environment.feature_store @@ -72,7 +72,6 @@ def test_infer_odfv_list_features(environment, infer_features, tmp_path): @pytest.mark.integration -@pytest.mark.universal def test_infer_odfv_features_with_error(environment, universal_data_sources): store = environment.feature_store diff --git a/sdk/python/tests/integration/registration/test_universal_types.py b/sdk/python/tests/integration/registration/test_universal_types.py index b95745f9979..6d016e3e85c 100644 --- a/sdk/python/tests/integration/registration/test_universal_types.py +++ b/sdk/python/tests/integration/registration/test_universal_types.py @@ -8,16 +8,11 @@ import pyarrow as pa import pytest +from feast.entity import Entity from feast.infra.offline_stores.offline_store import RetrievalJob from feast.types import Array, Bool, Float32, Int32, Int64, UnixTimestamp from feast.value_type import ValueType from tests.data.data_creator import create_dataset -from tests.integration.feature_repos.repo_configuration import ( - FULL_REPO_CONFIGS, - REDIS_CONFIG, - IntegrationTestRepoConfig, - construct_test_environment, -) from tests.integration.feature_repos.universal.entities import driver from tests.integration.feature_repos.universal.feature_views import driver_feature_view @@ -25,46 +20,36 @@ def populate_test_configs(offline: bool): - entity_type_feature_dtypes = [ - (ValueType.INT32, "int32"), - (ValueType.INT64, "int64"), - (ValueType.STRING, "float"), - (ValueType.STRING, "bool"), - (ValueType.INT32, "datetime"), + feature_dtypes = [ + "int32", + "int64", + "float", + "bool", + "datetime", ] configs: List[TypeTestConfig] = [] - for test_repo_config in FULL_REPO_CONFIGS: - for entity_type, feature_dtype in entity_type_feature_dtypes: - for feature_is_list in [True, False]: - # Redshift doesn't support list features - if test_repo_config.provider == "aws" and feature_is_list is True: - continue - # For offline tests, don't need to vary for online store - if offline and test_repo_config.online_store == REDIS_CONFIG: + for feature_dtype in feature_dtypes: + for feature_is_list in [True, False]: + for has_empty_list in [True, False]: + # For non list features `has_empty_list` does nothing + if feature_is_list is False and has_empty_list is True: continue - for has_empty_list in [True, False]: - # For non list features `has_empty_list` does nothing - if feature_is_list is False and has_empty_list is True: - continue - configs.append( - TypeTestConfig( - entity_type=entity_type, - feature_dtype=feature_dtype, - feature_is_list=feature_is_list, - has_empty_list=has_empty_list, - test_repo_config=test_repo_config, - ) + + configs.append( + TypeTestConfig( + feature_dtype=feature_dtype, + feature_is_list=feature_is_list, + has_empty_list=has_empty_list, ) + ) return configs @dataclass(frozen=True, repr=True) class TypeTestConfig: - entity_type: ValueType feature_dtype: str feature_is_list: bool has_empty_list: bool - test_repo_config: IntegrationTestRepoConfig OFFLINE_TYPE_TEST_CONFIGS: List[TypeTestConfig] = populate_test_configs(offline=True) @@ -76,8 +61,15 @@ class TypeTestConfig: scope="session", ids=[str(c) for c in OFFLINE_TYPE_TEST_CONFIGS], ) -def offline_types_test_fixtures(request): - return get_fixtures(request) +def offline_types_test_fixtures(request, environment): + config: TypeTestConfig = request.param + if ( + environment.test_repo_config.provider == "aws" + and config.feature_is_list is True + ): + pytest.skip("Redshift doesn't support list features") + + return get_fixtures(request, environment) @pytest.fixture( @@ -85,87 +77,91 @@ def offline_types_test_fixtures(request): scope="session", ids=[str(c) for c in ONLINE_TYPE_TEST_CONFIGS], ) -def online_types_test_fixtures(request): - return get_fixtures(request) +def online_types_test_fixtures(request, environment): + return get_fixtures(request, environment) -def get_fixtures(request): +def get_fixtures(request, environment): config: TypeTestConfig = request.param # Lower case needed because Redshift lower-cases all table names - test_project_id = f"{config.entity_type}{config.feature_dtype}{config.feature_is_list}".replace( + destination_name = f"feature_type_{config.feature_dtype}{config.feature_is_list}".replace( ".", "" ).lower() - type_test_environment = construct_test_environment( - test_repo_config=config.test_repo_config, - test_suite_name=f"test_{test_project_id}", - fixture_request=request, - ) config = request.param df = create_dataset( - config.entity_type, + ValueType.INT64, config.feature_dtype, config.feature_is_list, config.has_empty_list, ) - data_source = type_test_environment.data_source_creator.create_data_source( - df, - destination_name=type_test_environment.feature_store.project, - field_mapping={"ts_1": "ts"}, + data_source = environment.data_source_creator.create_data_source( + df, destination_name=destination_name, field_mapping={"ts_1": "ts"}, ) fv = create_feature_view( - request.fixturename, + destination_name, config.feature_dtype, config.feature_is_list, config.has_empty_list, data_source, ) - def cleanup(): - try: - type_test_environment.data_source_creator.teardown() - except Exception: # noqa - logger.exception("DataSourceCreator teardown has failed") - - type_test_environment.feature_store.teardown() - - request.addfinalizer(cleanup) - - return type_test_environment, config, data_source, fv + return config, data_source, fv @pytest.mark.integration -@pytest.mark.universal -def test_entity_inference_types_match(offline_types_test_fixtures): - environment, config, data_source, fv = offline_types_test_fixtures +@pytest.mark.universal_offline_stores +@pytest.mark.parametrize( + "entity_type", [ValueType.INT32, ValueType.INT64, ValueType.STRING] +) +def test_entity_inference_types_match(environment, entity_type): fs = environment.feature_store # Don't specify value type in entity to force inference - entity = driver(value_type=ValueType.UNKNOWN) + entity = Entity( + name=f"driver_{entity_type.name.lower()}", + value_type=ValueType.UNKNOWN, + join_key="driver_id", + ) + df = create_dataset(entity_type, feature_dtype="int32",) + data_source = environment.data_source_creator.create_data_source( + df, + destination_name=f"entity_type_{entity_type.name.lower()}", + field_mapping={"ts_1": "ts"}, + ) + fv = create_feature_view( + f"fv_entity_type_{entity_type.name.lower()}", + feature_dtype="int32", + feature_is_list=False, + has_empty_list=False, + data_source=data_source, + entity=entity.name, + ) fs.apply([fv, entity]) - entities = fs.list_entities() + inferred_entity = fs.get_entity(entity.name) entity_type_to_expected_inferred_entity_type = { - ValueType.INT32: ValueType.INT64, - ValueType.INT64: ValueType.INT64, - ValueType.FLOAT: ValueType.DOUBLE, - ValueType.STRING: ValueType.STRING, + ValueType.INT32: {ValueType.INT32, ValueType.INT64}, + ValueType.INT64: {ValueType.INT32, ValueType.INT64}, + ValueType.FLOAT: {ValueType.DOUBLE}, + ValueType.STRING: {ValueType.STRING}, } - for entity in entities: - assert ( - entity.value_type - == entity_type_to_expected_inferred_entity_type[config.entity_type] - ) + assert ( + inferred_entity.value_type + in entity_type_to_expected_inferred_entity_type[entity_type] + ) @pytest.mark.integration -@pytest.mark.universal -def test_feature_get_historical_features_types_match(offline_types_test_fixtures): +@pytest.mark.universal_offline_stores +def test_feature_get_historical_features_types_match( + offline_types_test_fixtures, environment +): """ Note: to make sure this test works, we need to ensure that get_historical_features returns at least one non-null row to make sure type inferral works. This can only be achieved by carefully matching entity_df to the data fixtures. """ - environment, config, data_source, fv = offline_types_test_fixtures + config, data_source, fv = offline_types_test_fixtures fs = environment.feature_store entity = driver() fv = create_feature_view( @@ -178,9 +174,7 @@ def test_feature_get_historical_features_types_match(offline_types_test_fixtures fs.apply([fv, entity]) entity_df = pd.DataFrame() - entity_df["driver_id"] = ( - ["1", "3"] if config.entity_type == ValueType.STRING else [1, 3] - ) + entity_df["driver_id"] = [1, 3] ts = pd.Timestamp(datetime.utcnow()).round("ms") entity_df["ts"] = [ ts - timedelta(hours=4), @@ -214,9 +208,12 @@ def test_feature_get_historical_features_types_match(offline_types_test_fixtures @pytest.mark.integration -@pytest.mark.universal -def test_feature_get_online_features_types_match(online_types_test_fixtures): - environment, config, data_source, fv = online_types_test_fixtures +@pytest.mark.universal_online_stores(only=["sqlite"]) +def test_feature_get_online_features_types_match( + online_types_test_fixtures, environment +): + config, data_source, fv = online_types_test_fixtures + entity = driver() fv = create_feature_view( "get_online_features_types_match", config.feature_dtype, @@ -226,7 +223,6 @@ def test_feature_get_online_features_types_match(online_types_test_fixtures): ) fs = environment.feature_store features = [fv.name + ":value"] - entity = driver(value_type=config.entity_type) fs.apply([fv, entity]) fs.materialize( environment.start_date, @@ -235,9 +231,8 @@ def test_feature_get_online_features_types_match(online_types_test_fixtures): # we can successfully infer type even from all empty values ) - driver_id_value = "1" if config.entity_type == ValueType.STRING else 1 online_features = fs.get_online_features( - features=features, entity_rows=[{"driver_id": driver_id_value}], + features=features, entity_rows=[{"driver_id": 1}], ).to_dict() feature_list_dtype_to_expected_online_response_value_type = { @@ -268,7 +263,7 @@ def test_feature_get_online_features_types_match(online_types_test_fixtures): def create_feature_view( - name, feature_dtype, feature_is_list, has_empty_list, data_source + name, feature_dtype, feature_is_list, has_empty_list, data_source, entity="driver" ): if feature_is_list is True: if feature_dtype == "int32": @@ -293,7 +288,7 @@ def create_feature_view( elif feature_dtype == "datetime": dtype = UnixTimestamp - return driver_feature_view(data_source, name=name, dtype=dtype,) + return driver_feature_view(data_source, name=name, dtype=dtype, entities=[entity]) def assert_expected_historical_feature_types( @@ -302,7 +297,7 @@ def assert_expected_historical_feature_types( print("Asserting historical feature types") feature_dtype_to_expected_historical_feature_dtype = { "int32": (pd.api.types.is_integer_dtype,), - "int64": (pd.api.types.is_int64_dtype,), + "int64": (pd.api.types.is_integer_dtype,), "float": (pd.api.types.is_float_dtype,), "string": (pd.api.types.is_string_dtype,), "bool": (pd.api.types.is_bool_dtype, pd.api.types.is_object_dtype), @@ -311,7 +306,7 @@ def assert_expected_historical_feature_types( dtype_checkers = feature_dtype_to_expected_historical_feature_dtype[feature_dtype] assert any( check(historical_features_df.dtypes["value"]) for check in dtype_checkers - ) + ), f"Failed to match feature type {historical_features_df.dtypes['value']} with checkers {dtype_checkers}" def assert_feature_list_types( @@ -357,8 +352,8 @@ def assert_expected_arrow_types( historical_features_arrow = historical_features.to_arrow() print(historical_features_arrow) feature_list_dtype_to_expected_historical_feature_arrow_type = { - "int32": pa.types.is_int64, - "int64": pa.types.is_int64, + "int32": pa.types.is_signed_integer, # different offline stores could interpret integers differently + "int64": pa.types.is_signed_integer, # eg, Snowflake chooses the smallest possible (like int8) "float": pa.types.is_float64, "string": pa.types.is_string, "bool": pa.types.is_boolean, From 44ca9f5f7eb495e23dd9a603b92ca6fd348e9ddb Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 11 May 2022 16:12:02 -0400 Subject: [PATCH 66/87] feat: Allow Feast UI to be spun up with CLI command: feast ui (#2667) Signed-off-by: Danny Chiao --- .github/workflows/publish.yml | 14 +- .gitignore | 2 + CONTRIBUTING.md | 7 +- Makefile | 6 + sdk/python/.gitignore | 2 +- sdk/python/feast/cli.py | 15 +- sdk/python/feast/feature_store.py | 12 +- sdk/python/feast/repo_operations.py | 5 +- sdk/python/feast/ui/README.md | 33 + .../feast/{embedded_go/lib => ui}/__init__.py | 0 sdk/python/feast/ui/package-lock.json | 27874 ++++++++++++++++ sdk/python/feast/ui/package.json | 53 + sdk/python/feast/ui/public/favicon.ico | Bin 0 -> 3870 bytes .../feast/ui/public/feast-favicon-300x300.png | Bin 0 -> 21550 bytes .../feast/ui/public/feast-favicon-36x36.png | Bin 0 -> 1886 bytes sdk/python/feast/ui/public/index.html | 46 + sdk/python/feast/ui/public/manifest.json | 25 + sdk/python/feast/ui/public/robots.txt | 3 + sdk/python/feast/ui/src/index.css | 13 + sdk/python/feast/ui/src/index.tsx | 22 + sdk/python/feast/ui/yarn.lock | 10625 ++++++ sdk/python/feast/ui_server.py | 64 + setup.py | 2 + ui/PUBLISHING_TO_NPM.md | 2 +- ui/README.md | 4 +- ui/docker/Dockerfile | 22 + ui/package.json | 6 +- .../BatchSourcePropertiesView.tsx | 1 - ui/src/pages/entities/EntityOverviewTab.tsx | 1 - 29 files changed, 38843 insertions(+), 16 deletions(-) create mode 100644 sdk/python/feast/ui/README.md rename sdk/python/feast/{embedded_go/lib => ui}/__init__.py (100%) create mode 100644 sdk/python/feast/ui/package-lock.json create mode 100644 sdk/python/feast/ui/package.json create mode 100644 sdk/python/feast/ui/public/favicon.ico create mode 100644 sdk/python/feast/ui/public/feast-favicon-300x300.png create mode 100644 sdk/python/feast/ui/public/feast-favicon-36x36.png create mode 100644 sdk/python/feast/ui/public/index.html create mode 100644 sdk/python/feast/ui/public/manifest.json create mode 100644 sdk/python/feast/ui/public/robots.txt create mode 100644 sdk/python/feast/ui/src/index.css create mode 100644 sdk/python/feast/ui/src/index.tsx create mode 100644 sdk/python/feast/ui/yarn.lock create mode 100644 sdk/python/feast/ui_server.py create mode 100644 ui/docker/Dockerfile diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index fd0f8082500..0a25248d2a4 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -166,6 +166,11 @@ jobs: os: [ ubuntu-latest, macos-10.15 ] steps: - uses: actions/checkout@v2 + - name: Setup Node + uses: actions/setup-node@v2 + with: + node-version: '17.x' + registry-url: 'https://registry.npmjs.org' - name: Build wheels uses: pypa/cibuildwheel@v2.4.0 env: @@ -183,6 +188,7 @@ jobs: make install-protoc-dependencies make install-go-proto-dependencies make install-go-ci-dependencies + make build-ui - uses: actions/upload-artifact@v2 with: @@ -202,12 +208,18 @@ jobs: with: python-version: "3.10" architecture: x64 - - name: Install dependencies + - name: Setup Node + uses: actions/setup-node@v2 + with: + node-version: '17.x' + registry-url: 'https://registry.npmjs.org' + - name: Build and install dependencies run: | pip install -U pip setuptools wheel twine make install-protoc-dependencies make install-go-proto-dependencies make install-go-ci-dependencies + make build-ui - name: Build run: | python3 setup.py sdist bdist_wheel diff --git a/.gitignore b/.gitignore index a1d4195fb04..6a86eb2682b 100644 --- a/.gitignore +++ b/.gitignore @@ -200,6 +200,8 @@ go/protos/ # Feast UI dependencies +sdk/python/feast/ui/node_modules +sdk/python/feast/ui/build ui/node_modules ui/.pnp ui/.pnp.js diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 726ef1a5bad..9cce520d346 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -89,7 +89,12 @@ source venv/bin/activate pip install --upgrade pip ``` -4. Install development dependencies for Feast Python SDK / CLI +4. (Optional): Install Node & Yarn. Then run the following to build Feast UI artifacts for use in `feast ui` +``` +make build-ui +``` + +5Install development dependencies for Feast Python SDK / CLI ```sh pip install -e ".[dev]" ``` diff --git a/Makefile b/Makefile index 03a627edf55..e208ab3c451 100644 --- a/Makefile +++ b/Makefile @@ -261,3 +261,9 @@ build-sphinx: compile-protos-python build-templates: python infra/scripts/compile-templates.py + +# Web UI + +# Note: requires node and yarn to be installed +build-ui: + cd $(ROOT_DIR)/sdk/python/feast/ui && yarn install && npm run build --omit=dev diff --git a/sdk/python/.gitignore b/sdk/python/.gitignore index f4e09ad9d62..9cab5dff201 100644 --- a/sdk/python/.gitignore +++ b/sdk/python/.gitignore @@ -115,4 +115,4 @@ dmypy.json .pyre/ .vscode/* -playground \ No newline at end of file +playground diff --git a/sdk/python/feast/cli.py b/sdk/python/feast/cli.py index bb920c35376..944ff1a21a7 100644 --- a/sdk/python/feast/cli.py +++ b/sdk/python/feast/cli.py @@ -109,6 +109,19 @@ def version(): print(f'Feast SDK Version: "{pkg_resources.get_distribution("feast")}"') +@cli.command() +@click.pass_context +def ui(ctx: click.Context): + """ + Shows the Feast UI over the current directory + """ + repo = ctx.obj["CHDIR"] + cli_check_repo(repo) + store = FeatureStore(repo_path=str(repo)) + repo_config = load_repo_config(repo) + store.serve_ui(registry_dump(repo_config, repo_path=repo)) + + @cli.command() @click.pass_context def endpoint(ctx: click.Context): @@ -475,7 +488,7 @@ def registry_dump_command(ctx: click.Context): cli_check_repo(repo) repo_config = load_repo_config(repo) - registry_dump(repo_config, repo_path=repo) + click.echo(registry_dump(repo_config, repo_path=repo)) @cli.command("materialize") diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 115f0fd9716..98d52632609 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -39,7 +39,7 @@ from google.protobuf.timestamp_pb2 import Timestamp from tqdm import tqdm -from feast import feature_server, flags, flags_helper, utils +from feast import feature_server, flags, flags_helper, ui_server, utils from feast.base_feature_view import BaseFeatureView from feast.data_source import DataSource from feast.diff.infra_diff import InfraDiff, diff_infra_protos @@ -1985,6 +1985,16 @@ def get_feature_server_endpoint(self) -> Optional[str]: """Returns endpoint for the feature server, if it exists.""" return self._provider.get_feature_server_endpoint() + @log_exceptions_and_usage + def serve_ui(self, registry_dump: str) -> None: + """Start the UI server locally""" + warnings.warn( + "The Feast UI is an experimental feature. " + "We do not guarantee that future changes will maintain backward compatibility.", + RuntimeWarning, + ) + ui_server.start_server(self, registry_dump, self.config.project) + @log_exceptions_and_usage def serve_transformations(self, port: int) -> None: """Start the feature transformation server locally on a given port.""" diff --git a/sdk/python/feast/repo_operations.py b/sdk/python/feast/repo_operations.py index 40f1a055a94..261e501a876 100644 --- a/sdk/python/feast/repo_operations.py +++ b/sdk/python/feast/repo_operations.py @@ -281,14 +281,13 @@ def teardown(repo_config: RepoConfig, repo_path: Path): @log_exceptions_and_usage -def registry_dump(repo_config: RepoConfig, repo_path: Path): +def registry_dump(repo_config: RepoConfig, repo_path: Path) -> str: """For debugging only: output contents of the metadata registry""" registry_config = repo_config.get_registry_config() project = repo_config.project registry = Registry(registry_config=registry_config, repo_path=repo_path) registry_dict = registry.to_dict(project=project) - - click.echo(json.dumps(registry_dict, indent=2, sort_keys=True)) + return json.dumps(registry_dict, indent=2, sort_keys=True) def cli_check_repo(repo_path: Path): diff --git a/sdk/python/feast/ui/README.md b/sdk/python/feast/ui/README.md new file mode 100644 index 00000000000..ea5243ca4c6 --- /dev/null +++ b/sdk/python/feast/ui/README.md @@ -0,0 +1,33 @@ +# Example Feast UI App + +This is an example React App that imports the Feast UI module and relies on a "/projects-list" endpoint to get projects. + +See the module import in `src/index.js`. The main change this implements on top of a vanilla create-react-app is adding: + +```tsx +import ReactDOM from "react-dom"; +import FeastUI from "@feast-dev/feast-ui"; +import "@feast-dev/feast-ui/dist/feast-ui.css"; + +ReactDOM.render( + + { + return res.json(); + }) + }} + /> + , + document.getElementById("root") +); +``` + +It is used by the `feast ui` command to scaffold a local UI server. 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allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + @app.get("/registry") + def read_registry(): + return json.loads(registry_dump) + + # Generate projects-list json that points to the current repo's project + # TODO(adchia): Enable users to also add project name + description fields in feature_store.yaml + @app.get("/projects-list") + def projects_list(): + projects = { + "projects": [ + { + "name": "Project", + "description": "Test project", + "id": project_id, + "registryPath": "http://0.0.0.0:8888/registry", + } + ] + } + return projects + + # For all other paths (such as paths that would otherwise be handled by react router), pass to React + @app.api_route("/p/{path_name:path}", methods=["GET"]) + def catch_all(): + filename = ui_dir + "index.html" + + with open(filename) as f: + content = f.read() + + return Response(content, media_type="text/html") + + app.mount( + "/", StaticFiles(directory=ui_dir, html=True), name="site", + ) + + return app + + +def start_server(store: "feast.FeatureStore", registry_dump: str, project_id: str): + app = get_app(store, registry_dump, project_id) + uvicorn.run(app, host="0.0.0.0", port=8888) diff --git a/setup.py b/setup.py index 3216471ff0a..51da943a922 100644 --- a/setup.py +++ b/setup.py @@ -486,6 +486,8 @@ def copy_extensions_to_source(self): "sdk/python/**/*.proto", "sdk/python/**/*.py", "protos/**/*.proto", + "sdk/python/ui/build/*", + "sdk/python/ui/build/**/*", ], }, cmdclass={ diff --git a/ui/PUBLISHING_TO_NPM.md b/ui/PUBLISHING_TO_NPM.md index 2ad42fd227b..0ab1af39236 100644 --- a/ui/PUBLISHING_TO_NPM.md +++ b/ui/PUBLISHING_TO_NPM.md @@ -6,7 +6,7 @@ To publish a new version of the module, you will need to be part of the @feast-d ## Steps for Publishing -1. Make sure tests are passing. Run tests with `yarn tests` in the ui directory. +1. Make sure tests are passing. Run tests with `yarn test` in the ui directory. 2. Bump the version number in `package.json` as appropriate. 3. Package the modules for distributions. Run the library build script with `yarn build:lib`. We use [Rollup](https://rollupjs.org/) for building the module, and the configs are in the `rollup.config.js` file. 4. Publish the package to NPM. Run `npm publish` diff --git a/ui/README.md b/ui/README.md index 80e20b31643..f7c1ddadec1 100644 --- a/ui/README.md +++ b/ui/README.md @@ -1,6 +1,6 @@ -# [WIP] Feast Web UI +# [Experimental] Feast Web UI -![Sample UI](sample.png) +![Sample UI](https://github.com/feast-dev/feast/blob/master/ui/sample.png) This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app). diff --git a/ui/docker/Dockerfile b/ui/docker/Dockerfile new file mode 100644 index 00000000000..172f833e12f --- /dev/null +++ b/ui/docker/Dockerfile @@ -0,0 +1,22 @@ +FROM node:17.9.0-slim + +WORKDIR /app +# add `/app/node_modules/.bin` to $PATH +ENV PATH /app/node_modules/.bin:$PATH + +# Install UI dependencies +COPY ui/package.json . +RUN npm install + +# Copy over app +COPY ui/tsconfig.json . +COPY ui/public ./public +COPY ui/src ./src + +# Build for production. +RUN npm run build --omit=dev + +# Serve the UI from a port +RUN npm install -g serve +EXPOSE 3000 +CMD ["serve", "-s", "build"] diff --git a/ui/package.json b/ui/package.json index c8221153a79..56a83e22ff7 100644 --- a/ui/package.json +++ b/ui/package.json @@ -1,6 +1,6 @@ { "name": "@feast-dev/feast-ui", - "version": "0.20.0", + "version": "0.20.2", "private": false, "files": [ "dist" @@ -9,7 +9,7 @@ "module": "./dist/feast-ui.module.js", "peerDependencies": { "@elastic/datemath": "^5.0.3", - "@elastic/eui": "^46.1.0", + "@elastic/eui": "^55.0.1", "@emotion/react": "^11.7.1", "@types/d3": "^7.1.0", "@types/react": "^17.0.20", @@ -30,7 +30,7 @@ }, "dependencies": { "@elastic/datemath": "^5.0.3", - "@elastic/eui": "^46.1.0", + "@elastic/eui": "^55.0.1", "@emotion/react": "^11.7.1", "@types/d3": "^7.1.0", "@types/jest": "^27.0.1", diff --git a/ui/src/pages/data-sources/BatchSourcePropertiesView.tsx b/ui/src/pages/data-sources/BatchSourcePropertiesView.tsx index 6d5e6ea86fd..3bc72762033 100644 --- a/ui/src/pages/data-sources/BatchSourcePropertiesView.tsx +++ b/ui/src/pages/data-sources/BatchSourcePropertiesView.tsx @@ -6,7 +6,6 @@ import { EuiDescriptionListTitle, EuiFlexGroup, EuiFlexItem, - EuiHorizontalRule, EuiSpacer, EuiTitle, } from "@elastic/eui"; diff --git a/ui/src/pages/entities/EntityOverviewTab.tsx b/ui/src/pages/entities/EntityOverviewTab.tsx index dce0c12824d..dc649c2a9fb 100644 --- a/ui/src/pages/entities/EntityOverviewTab.tsx +++ b/ui/src/pages/entities/EntityOverviewTab.tsx @@ -9,7 +9,6 @@ import { EuiText, EuiFlexItem, EuiSpacer, - EuiStat, EuiDescriptionList, EuiDescriptionListTitle, EuiDescriptionListDescription, From ab78702e20b4aaff13497dc8d29495f58ae5ee36 Mon Sep 17 00:00:00 2001 From: Felix Wang Date: Wed, 11 May 2022 14:32:33 -0700 Subject: [PATCH 67/87] fix: Fix materialization with ttl=0 bug (#2666) * Fix materialization with ttl=0 bug Signed-off-by: Felix Wang * Add TODO Signed-off-by: Felix Wang --- sdk/python/feast/feature_store.py | 13 ++++- .../example_feature_repo_with_ttl_0.py | 48 +++++++++++++++++++ .../online_store/test_e2e_local.py | 20 ++++++-- 3 files changed, 74 insertions(+), 7 deletions(-) create mode 100644 sdk/python/tests/example_repos/example_feature_repo_with_ttl_0.py diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 98d52632609..60517021e15 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -16,7 +16,7 @@ import os import warnings from collections import Counter, defaultdict -from datetime import datetime +from datetime import datetime, timedelta from pathlib import Path from typing import ( TYPE_CHECKING, @@ -1080,7 +1080,16 @@ def materialize_incremental( f"No start time found for feature view {feature_view.name}. materialize_incremental() requires" f" either a ttl to be set or for materialize() to have been run at least once." ) - start_date = datetime.utcnow() - feature_view.ttl + elif feature_view.ttl.total_seconds() > 0: + start_date = datetime.utcnow() - feature_view.ttl + else: + # TODO(felixwang9817): Find the earliest timestamp for this specific feature + # view from the offline store, and set the start date to that timestamp. + print( + f"Since the ttl is 0 for feature view {Style.BRIGHT + Fore.GREEN}{feature_view.name}{Style.RESET_ALL}, " + "the start date will be set to 1 year before the current time." + ) + start_date = datetime.utcnow() - timedelta(weeks=52) provider = self._get_provider() print( f"{Style.BRIGHT + Fore.GREEN}{feature_view.name}{Style.RESET_ALL}" diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_ttl_0.py b/sdk/python/tests/example_repos/example_feature_repo_with_ttl_0.py new file mode 100644 index 00000000000..e2bec03f8f3 --- /dev/null +++ b/sdk/python/tests/example_repos/example_feature_repo_with_ttl_0.py @@ -0,0 +1,48 @@ +from datetime import timedelta + +from feast import Entity, FeatureView, Field, FileSource, ValueType +from feast.types import Float32, Int32, Int64 + +driver_hourly_stats = FileSource( + path="%PARQUET_PATH%", # placeholder to be replaced by the test + timestamp_field="event_timestamp", + created_timestamp_column="created", +) + +driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id") + + +driver_hourly_stats_view = FeatureView( + name="driver_hourly_stats", + entities=[driver], + ttl=timedelta(days=0), + schema=[ + Field(name="conv_rate", dtype=Float32), + Field(name="acc_rate", dtype=Float32), + Field(name="avg_daily_trips", dtype=Int64), + ], + online=True, + source=driver_hourly_stats, + tags={}, +) + + +global_daily_stats = FileSource( + path="%PARQUET_PATH_GLOBAL%", # placeholder to be replaced by the test + timestamp_field="event_timestamp", + created_timestamp_column="created", +) + + +global_stats_feature_view = FeatureView( + name="global_daily_stats", + entities=[], + ttl=timedelta(days=0), + schema=[ + Field(name="num_rides", dtype=Int32), + Field(name="avg_ride_length", dtype=Float32), + ], + online=True, + source=global_daily_stats, + tags={}, +) diff --git a/sdk/python/tests/integration/online_store/test_e2e_local.py b/sdk/python/tests/integration/online_store/test_e2e_local.py index 59ea0777a44..d3cb86716a2 100644 --- a/sdk/python/tests/integration/online_store/test_e2e_local.py +++ b/sdk/python/tests/integration/online_store/test_e2e_local.py @@ -101,12 +101,12 @@ def _test_materialize_and_online_retrieval( def test_e2e_local() -> None: """ - A more comprehensive than "basic" test, using local provider. + Tests the end-to-end workflow of apply, materialize, and online retrieval. - 1. Create a repo. - 2. Apply - 3. Ingest some data to online store from parquet - 4. Read from the online store to make sure it made it there. + This test runs against several different types of repos: + 1. A repo with a normal FV and an entity-less FV. + 2. A repo using the SDK from version 0.19.0. + 3. A repo with a FV with a ttl of 0. """ runner = CliRunner() with tempfile.TemporaryDirectory() as data_dir: @@ -143,6 +143,16 @@ def test_e2e_local() -> None: runner, store, start_date, end_date, driver_df ) + with runner.local_repo( + get_example_repo("example_feature_repo_with_ttl_0.py") + .replace("%PARQUET_PATH%", driver_stats_path) + .replace("%PARQUET_PATH_GLOBAL%", global_stats_path), + "file", + ) as store: + _test_materialize_and_online_retrieval( + runner, store, start_date, end_date, driver_df + ) + # Test a failure case when the parquet file doesn't include a join key with runner.local_repo( get_example_repo("example_feature_repo_with_entity_join_key.py").replace( From fc00ca8fc091ab2642121de69d4624783f11445c Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Wed, 11 May 2022 15:01:33 -0700 Subject: [PATCH 68/87] fix: Delete data sources from registry when using the diffing logic (#2669) Signed-off-by: Achal Shah --- sdk/python/feast/diff/registry_diff.py | 5 +++++ sdk/python/feast/infra/offline_stores/file.py | 1 - 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/sdk/python/feast/diff/registry_diff.py b/sdk/python/feast/diff/registry_diff.py index b2caec2b687..6f372a79151 100644 --- a/sdk/python/feast/diff/registry_diff.py +++ b/sdk/python/feast/diff/registry_diff.py @@ -295,6 +295,11 @@ def apply_diff_to_registry( registry.delete_feature_view( feature_view_obj.name, project, commit=False, ) + elif feast_object_diff.feast_object_type == FeastObjectType.DATA_SOURCE: + ds_obj = cast(DataSource, feast_object_diff.current_feast_object) + registry.delete_data_source( + ds_obj.name, project, commit=False, + ) if feast_object_diff.transition_type in [ TransitionType.CREATE, diff --git a/sdk/python/feast/infra/offline_stores/file.py b/sdk/python/feast/infra/offline_stores/file.py index 2dea5714fae..f36eb383d8e 100644 --- a/sdk/python/feast/infra/offline_stores/file.py +++ b/sdk/python/feast/infra/offline_stores/file.py @@ -187,7 +187,6 @@ def evaluate_historical_retrieval(): entity_df_event_timestamp_col ) - join_keys = [] all_join_keys = [] # Load feature view data from sources and join them incrementally From f775d2e8a4a185e59031504e6e8eda8b330d066c Mon Sep 17 00:00:00 2001 From: Kevin Zhang Date: Wed, 11 May 2022 15:16:07 -0700 Subject: [PATCH 69/87] fix: Punt deprecation warnings and clean up some warnings. (#2670) * Add some fixes Signed-off-by: Kevin Zhang * Punt deprecation warnings to 0.23 Signed-off-by: Kevin Zhang * Fix lint Signed-off-by: Kevin Zhang --- sdk/python/feast/cli.py | 4 ++-- sdk/python/feast/diff/registry_diff.py | 2 +- sdk/python/feast/entity.py | 2 +- sdk/python/feast/feature_store.py | 2 +- sdk/python/feast/feature_view.py | 4 ++-- .../infra/offline_stores/bigquery_source.py | 4 ++-- .../contrib/spark_offline_store/spark.py | 3 +++ .../contrib/spark_offline_store/spark_source.py | 2 +- .../feast/infra/offline_stores/file_source.py | 2 +- .../feast/infra/offline_stores/offline_store.py | 2 ++ .../infra/offline_stores/redshift_source.py | 4 ++-- .../infra/offline_stores/snowflake_source.py | 4 ++-- sdk/python/feast/on_demand_feature_view.py | 16 ++++++++-------- 13 files changed, 28 insertions(+), 23 deletions(-) diff --git a/sdk/python/feast/cli.py b/sdk/python/feast/cli.py index 944ff1a21a7..d87f6260a70 100644 --- a/sdk/python/feast/cli.py +++ b/sdk/python/feast/cli.py @@ -167,7 +167,7 @@ def data_source_describe(ctx: click.Context, name: str): warnings.warn( "Describing data sources will only work properly if all data sources have names or table names specified. " - "Starting Feast 0.21, data source unique names will be required to encourage data source discovery.", + "Starting Feast 0.23, data source unique names will be required to encourage data source discovery.", RuntimeWarning, ) print( @@ -194,7 +194,7 @@ def data_source_list(ctx: click.Context): warnings.warn( "Listing data sources will only work properly if all data sources have names or table names specified. " - "Starting Feast 0.21, data source unique names will be required to encourage data source discovery", + "Starting Feast 0.23, data source unique names will be required to encourage data source discovery", RuntimeWarning, ) print(tabulate(table, headers=["NAME", "CLASS"], tablefmt="plain")) diff --git a/sdk/python/feast/diff/registry_diff.py b/sdk/python/feast/diff/registry_diff.py index 6f372a79151..197bdfcefaf 100644 --- a/sdk/python/feast/diff/registry_diff.py +++ b/sdk/python/feast/diff/registry_diff.py @@ -61,7 +61,7 @@ def to_string(self): if feast_object_diff.transition_type == TransitionType.UNCHANGED: continue if feast_object_diff.feast_object_type == FeastObjectType.DATA_SOURCE: - # TODO(adchia): Print statements out starting in Feast 0.21 + # TODO(adchia): Print statements out starting in Feast 0.23 continue action, color = message_action_map[feast_object_diff.transition_type] log_string += f"{action} {feast_object_diff.feast_object_type.value} {Style.BRIGHT + color}{feast_object_diff.name}{Style.RESET_ALL}\n" diff --git a/sdk/python/feast/entity.py b/sdk/python/feast/entity.py index 38c353857c9..1e7c7cf3079 100644 --- a/sdk/python/feast/entity.py +++ b/sdk/python/feast/entity.py @@ -110,7 +110,7 @@ def __init__( warnings.warn( ( "The `join_key` parameter is being deprecated in favor of the `join_keys` parameter. " - "Please switch from using `join_key` to `join_keys`. Feast 0.22 and onwards will not " + "Please switch from using `join_key` to `join_keys`. Feast 0.23 and onwards will not " "support the `join_key` parameter." ), DeprecationWarning, diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 60517021e15..90bd35a213b 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -2197,7 +2197,7 @@ def _validate_data_sources(data_sources: List[DataSource]): f"More than one data source with name {case_insensitive_ds_name} found. " f"Please ensure that all data source names are case-insensitively unique. " f"It may be necessary to ignore certain files in your feature repository by using a .feastignore " - f"file. Starting in Feast 0.21, unique names (perhaps inferred from the table name) will be " + f"file. Starting in Feast 0.23, unique names (perhaps inferred from the table name) will be " f"required in data sources to encourage data source discovery" ) else: diff --git a/sdk/python/feast/feature_view.py b/sdk/python/feast/feature_view.py index 65a4914a8f7..4ff7618f2e1 100644 --- a/sdk/python/feast/feature_view.py +++ b/sdk/python/feast/feature_view.py @@ -180,7 +180,7 @@ def __init__( warnings.warn( ( "The option to pass a Duration object to the ttl parameter is being deprecated. " - "Please pass a timedelta object instead. Feast 0.21 and onwards will not support " + "Please pass a timedelta object instead. Feast 0.23 and onwards will not support " "Duration objects." ), DeprecationWarning, @@ -195,7 +195,7 @@ def __init__( ( "The `features` parameter is being deprecated in favor of the `schema` parameter. " "Please switch from using `features` to `schema`. This will also requiring switching " - "feature definitions from using `Feature` to `Field`. Feast 0.21 and onwards will not " + "feature definitions from using `Feature` to `Field`. Feast 0.23 and onwards will not " "support the `features` parameter." ), DeprecationWarning, diff --git a/sdk/python/feast/infra/offline_stores/bigquery_source.py b/sdk/python/feast/infra/offline_stores/bigquery_source.py index f66b2066bd5..06e9ce9f624 100644 --- a/sdk/python/feast/infra/offline_stores/bigquery_source.py +++ b/sdk/python/feast/infra/offline_stores/bigquery_source.py @@ -63,7 +63,7 @@ def __init__( warnings.warn( ( "The argument 'date_partition_column' is not supported for BigQuery sources. " - "It will be removed in Feast 0.21+" + "It will be removed in Feast 0.23+" ), DeprecationWarning, ) @@ -76,7 +76,7 @@ def __init__( else: warnings.warn( ( - f"Starting in Feast 0.21, Feast will require either a name for a data source (if using query) or `table`: {self.query}" + f"Starting in Feast 0.23, Feast will require either a name for a data source (if using query) or `table`: {self.query}" ), DeprecationWarning, ) diff --git a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py index 770bd8adc21..2a0925d9294 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py +++ b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py @@ -32,6 +32,9 @@ from feast.type_map import spark_schema_to_np_dtypes from feast.usage import log_exceptions_and_usage +# Make sure spark warning doesn't raise more than once. +warnings.simplefilter("once", RuntimeWarning) + class SparkOfflineStoreConfig(FeastConfigBaseModel): type: StrictStr = "spark" diff --git a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py index dc92e08a50e..c94b1913598 100644 --- a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py +++ b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py @@ -57,7 +57,7 @@ def __init__( warnings.warn( ( "The argument 'date_partition_column' is not supported for Spark sources." - "It will be removed in Feast 0.21+" + "It will be removed in Feast 0.23+" ), DeprecationWarning, ) diff --git a/sdk/python/feast/infra/offline_stores/file_source.py b/sdk/python/feast/infra/offline_stores/file_source.py index 68c1835cb0f..8b4b08bb87f 100644 --- a/sdk/python/feast/infra/offline_stores/file_source.py +++ b/sdk/python/feast/infra/offline_stores/file_source.py @@ -95,7 +95,7 @@ def __init__( warnings.warn( ( "The argument 'date_partition_column' is not supported for File sources." - "It will be removed in Feast 0.21+" + "It will be removed in Feast 0.23+" ), DeprecationWarning, ) diff --git a/sdk/python/feast/infra/offline_stores/offline_store.py b/sdk/python/feast/infra/offline_stores/offline_store.py index 27a85046e5b..2996a1ed590 100644 --- a/sdk/python/feast/infra/offline_stores/offline_store.py +++ b/sdk/python/feast/infra/offline_stores/offline_store.py @@ -32,6 +32,8 @@ if TYPE_CHECKING: from feast.saved_dataset import ValidationReference +warnings.simplefilter("once", RuntimeWarning) + class RetrievalMetadata: min_event_timestamp: Optional[datetime] diff --git a/sdk/python/feast/infra/offline_stores/redshift_source.py b/sdk/python/feast/infra/offline_stores/redshift_source.py index 93d811998a2..ae9d8bab5c8 100644 --- a/sdk/python/feast/infra/offline_stores/redshift_source.py +++ b/sdk/python/feast/infra/offline_stores/redshift_source.py @@ -73,7 +73,7 @@ def __init__( else: warnings.warn( ( - f"Starting in Feast 0.21, Feast will require either a name for a data source (if using query) " + f"Starting in Feast 0.23, Feast will require either a name for a data source (if using query) " f"or `table`: {self.query}" ), DeprecationWarning, @@ -82,7 +82,7 @@ def __init__( warnings.warn( ( "The argument 'date_partition_column' is not supported for Redshift sources." - "It will be removed in Feast 0.21+" + "It will be removed in Feast 0.23+" ), DeprecationWarning, ) diff --git a/sdk/python/feast/infra/offline_stores/snowflake_source.py b/sdk/python/feast/infra/offline_stores/snowflake_source.py index ef3ae52d280..d76131f837b 100644 --- a/sdk/python/feast/infra/offline_stores/snowflake_source.py +++ b/sdk/python/feast/infra/offline_stores/snowflake_source.py @@ -79,7 +79,7 @@ def __init__( else: warnings.warn( ( - f"Starting in Feast 0.21, Feast will require either a name for a data source (if using query) " + f"Starting in Feast 0.23, Feast will require either a name for a data source (if using query) " f"or `table`: {self.query}" ), DeprecationWarning, @@ -89,7 +89,7 @@ def __init__( warnings.warn( ( "The argument 'date_partition_column' is not supported for Snowflake sources." - "It will be removed in Feast 0.21+" + "It will be removed in Feast 0.23+" ), DeprecationWarning, ) diff --git a/sdk/python/feast/on_demand_feature_view.py b/sdk/python/feast/on_demand_feature_view.py index d2cec18e520..244000c6ded 100644 --- a/sdk/python/feast/on_demand_feature_view.py +++ b/sdk/python/feast/on_demand_feature_view.py @@ -127,7 +127,7 @@ def __init__( # noqa: C901 ( "The `features` parameter is being deprecated in favor of the `schema` parameter. " "Please switch from using `features` to `schema`. This will also requiring switching " - "feature definitions from using `Feature` to `Field`. Feast 0.21 and onwards will not " + "feature definitions from using `Feature` to `Field`. Feast 0.23 and onwards will not " "support the `features` parameter." ), DeprecationWarning, @@ -139,7 +139,7 @@ def __init__( # noqa: C901 warnings.warn( ( "The `inputs` parameter is being deprecated. Please use `sources` instead. " - "Feast 0.21 and onwards will not support the `inputs` parameter." + "Feast 0.23 and onwards will not support the `inputs` parameter." ), DeprecationWarning, ) @@ -181,7 +181,7 @@ def __init__( # noqa: C901 ( "The `features` parameter is being deprecated in favor of the `schema` parameter. " "Please switch from using `features` to `schema`. This will also requiring switching " - "feature definitions from using `Feature` to `Field`. Feast 0.21 and onwards will not " + "feature definitions from using `Feature` to `Field`. Feast 0.23 and onwards will not " "support the `features` parameter." ), DeprecationWarning, @@ -202,7 +202,7 @@ def __init__( # noqa: C901 warnings.warn( ( "The `inputs` parameter is being deprecated. Please use `sources` instead. " - "Feast 0.21 and onwards will not support the `inputs` parameter." + "Feast 0.23 and onwards will not support the `inputs` parameter." ), DeprecationWarning, ) @@ -548,7 +548,7 @@ def on_demand_feature_view( ( "The `features` parameter is being deprecated in favor of the `schema` parameter. " "Please switch from using `features` to `schema`. This will also requiring switching " - "feature definitions from using `Feature` to `Field`. Feast 0.21 and onwards will not " + "feature definitions from using `Feature` to `Field`. Feast 0.23 and onwards will not " "support the `features` parameter." ), DeprecationWarning, @@ -560,7 +560,7 @@ def on_demand_feature_view( warnings.warn( ( "The `inputs` parameter is being deprecated. Please use `sources` instead. " - "Feast 0.21 and onwards will not support the `inputs` parameter." + "Feast 0.23 and onwards will not support the `inputs` parameter." ), DeprecationWarning, ) @@ -599,7 +599,7 @@ def on_demand_feature_view( ( "The `features` parameter is being deprecated in favor of the `schema` parameter. " "Please switch from using `features` to `schema`. This will also requiring switching " - "feature definitions from using `Feature` to `Field`. Feast 0.21 and onwards will not " + "feature definitions from using `Feature` to `Field`. Feast 0.23 and onwards will not " "support the `features` parameter." ), DeprecationWarning, @@ -620,7 +620,7 @@ def on_demand_feature_view( warnings.warn( ( "The `inputs` parameter is being deprecated. Please use `sources` instead. " - "Feast 0.21 and onwards will not support the `inputs` parameter." + "Feast 0.23 and onwards will not support the `inputs` parameter." ), DeprecationWarning, ) From 8d76751d1e702ee7059def7721b97cfcdf9f6300 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 11 May 2022 18:41:58 -0400 Subject: [PATCH 70/87] fix: Fix Feast UI parser to work with new APIs (#2668) * fix: Fix Feast UI parser to work with new APIs Signed-off-by: Danny Chiao * more fixes Signed-off-by: Danny Chiao * fix workflow Signed-off-by: Danny Chiao --- .github/workflows/publish.yml | 8 +- ui/feature_repo/features.py | 26 +- ui/public/registry.json | 797 +++++++----------- ui/src/components/TagsDisplay.tsx | 27 +- ui/src/index.tsx | 9 +- .../BatchSourcePropertiesView.tsx | 229 ++--- .../data-sources/DataSourceOverviewTab.tsx | 13 +- .../OnDemandFeatureViewOverviewTab.tsx | 2 +- .../RegularFeatureViewOverviewTab.tsx | 25 +- ui/src/parsers/feastDatasources.ts | 8 +- ui/src/parsers/feastFeatureViews.ts | 7 +- ui/src/parsers/feastODFVS.ts | 4 +- ui/src/parsers/parseEntityRelationships.ts | 2 +- 13 files changed, 515 insertions(+), 642 deletions(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 0a25248d2a4..62720a23630 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -167,10 +167,10 @@ jobs: steps: - uses: actions/checkout@v2 - name: Setup Node - uses: actions/setup-node@v2 - with: - node-version: '17.x' - registry-url: 'https://registry.npmjs.org' + uses: actions/setup-node@v2 + with: + node-version: '17.x' + registry-url: 'https://registry.npmjs.org' - name: Build wheels uses: pypa/cibuildwheel@v2.4.0 env: diff --git a/ui/feature_repo/features.py b/ui/feature_repo/features.py index 8a5e6153df0..efdab694e83 100644 --- a/ui/feature_repo/features.py +++ b/ui/feature_repo/features.py @@ -1,27 +1,24 @@ from datetime import timedelta from feast import ( - Bool, Entity, FeatureService, FeatureView, Field, FileSource, - Int64, - String, ValueType, ) from feast.data_source import RequestSource from feast.request_feature_view import RequestFeatureView from feast.on_demand_feature_view import on_demand_feature_view -from feast.field import Field +from feast.types import Bool, Int64, String import pandas as pd zipcode = Entity( name="zipcode", value_type=ValueType.INT64, description="A zipcode", - labels={"owner": "danny@tecton.ai", "team": "hack week",}, + tags={"owner": "danny@tecton.ai", "team": "hack week",}, ) zipcode_source = FileSource( @@ -43,7 +40,7 @@ Field(name="population", dtype=Int64), Field(name="total_wages", dtype=Int64), ], - batch_source=zipcode_source, + source=zipcode_source, tags={ "date_added": "2022-02-7", "experiments": "experiment-A,experiment-B,experiment-C", @@ -64,7 +61,7 @@ Field(name="population", dtype=Int64), Field(name="total_wages", dtype=Int64), ], - batch_source=zipcode_source, + source=zipcode_source, tags={ "date_added": "2022-02-7", "experiments": "experiment-A,experiment-B,experiment-C", @@ -81,7 +78,7 @@ Field(name="tax_returns_filed", dtype=Int64), Field(name="total_wages", dtype=Int64), ], - batch_source=zipcode_source, + source=zipcode_source, tags={ "date_added": "2022-02-7", "experiments": "experiment-A,experiment-B,experiment-C", @@ -94,7 +91,7 @@ name="dob_ssn", value_type=ValueType.STRING, description="Date of birth and last four digits of social security number", - labels={"owner": "tony@tecton.ai", "team": "hack week",}, + tags={"owner": "tony@tecton.ai", "team": "hack week",}, ) credit_history_source = FileSource( @@ -119,7 +116,7 @@ Field(name="missed_payments_6m", dtype=Int64), Field(name="bankruptcies", dtype=Int64), ], - batch_source=credit_history_source, + source=credit_history_source, tags={ "date_added": "2022-02-6", "experiments": "experiment-A", @@ -152,16 +149,10 @@ def transaction_gt_last_credit_card_due(inputs: pd.DataFrame) -> pd.DataFrame: ) return df - -# Define request feature view -transaction_request_fv = RequestFeatureView( - name="transaction_request_fv", request_data_source=input_request, -) - model_v1 = FeatureService( name="credit_score_v1", features=[ - credit_history[["mortgage_due", "credit_card_due", "missed_payments_1y"]], + credit_history[["credit_card_due", "missed_payments_1y"]], zipcode_features, ], tags={"owner": "tony@tecton.ai", "stage": "staging"}, @@ -173,7 +164,6 @@ def transaction_gt_last_credit_card_due(inputs: pd.DataFrame) -> pd.DataFrame: features=[ credit_history[["mortgage_due", "credit_card_due", "missed_payments_1y"]], zipcode_features, - transaction_request_fv, ], tags={"owner": "tony@tecton.ai", "stage": "prod"}, description="Credit scoring model", diff --git a/ui/public/registry.json b/ui/public/registry.json index af328979e98..2d5c93c9620 100644 --- a/ui/public/registry.json +++ b/ui/public/registry.json @@ -1,313 +1,104 @@ { - "project": "credit_scoring_aws", "dataSources": [ { - "type": "BATCH_FILE", - "eventTimestampColumn": "event_timestamp", "createdTimestampColumn": "created_timestamp", "fileOptions": { - "fileUrl": "data/credit_history.parquet" + "uri": "data/credit_history.parquet" }, "name": "credit_history", - "meta": { - "latestEventTimestamp": "2021-08-29T22:01:04.746575Z", - "earliestEventTimestamp": "2020-04-26T22:01:04.746575Z" - } + "timestampField": "event_timestamp", + "type": "BATCH_FILE" }, { - "type": "REQUEST_SOURCE", + "name": "transaction", "requestDataOptions": { - "schema": { - "transaction_amt": "INT64" - } + "schema": [ + { + "name": "transaction_amt", + "valueType": "INT64" + } + ] }, - "name": "transaction" + "type": "REQUEST_SOURCE" }, { - "type": "BATCH_FILE", - "eventTimestampColumn": "event_timestamp", "createdTimestampColumn": "created_timestamp", "fileOptions": { - "fileUrl": "data/zipcode_table.parquet" + "uri": "data/zipcode_table.parquet" }, "name": "zipcode", - "meta": { - "latestEventTimestamp": "2017-01-01T12:00:00Z", - "earliestEventTimestamp": "2017-01-01T12:00:00Z" - } + "timestampField": "event_timestamp", + "type": "BATCH_FILE" } ], "entities": [ { + "meta": { + "createdTimestamp": "2022-05-11T19:27:03.171062Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:03.171062Z" + }, "spec": { + "joinKey": "__dummy_id", "name": "__dummy", - "valueType": "STRING", - "joinKey": "__dummy_id" - }, - "meta": { - "createdTimestamp": "2022-02-09T20:40:53.101387Z", - "lastUpdatedTimestamp": "2022-02-09T20:40:53.101387Z" + "valueType": "STRING" } }, { - "spec": { - "name": "dob_ssn", - "valueType": "STRING", - "description": "Date of birth and last four digits of social security number", - "joinKey": "dob_ssn", - "labels": { - "team": "hack week", - "owner": "tony@tecton.ai" - } - }, "meta": { - "createdTimestamp": "2022-02-09T20:40:53.101256Z", - "lastUpdatedTimestamp": "2022-02-09T20:40:53.101256Z" - } - }, - { - "spec": { - "name": "zipcode", - "valueType": "INT64", - "description": "A zipcode", - "joinKey": "zipcode", - "labels": { - "owner": "danny@tecton.ai", - "team": "hack week" - } + "createdTimestamp": "2022-05-11T19:27:03.171112Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:03.171112Z" }, - "meta": { - "createdTimestamp": "2022-02-09T20:40:53.101335Z", - "lastUpdatedTimestamp": "2022-02-09T20:40:53.101335Z" - } - } - ], - "featureViews": [ - { "spec": { - "name": "credit_history", - "entities": ["dob_ssn"], - "features": [ - { - "name": "credit_card_due", - "valueType": "INT64" - }, - { - "name": "mortgage_due", - "valueType": "INT64" - }, - { - "name": "student_loan_due", - "valueType": "INT64" - }, - { - "name": "vehicle_loan_due", - "valueType": "INT64" - }, - { - "name": "hard_pulls", - "valueType": "INT64" - }, - { - "name": "missed_payments_2y", - "valueType": "INT64" - }, - { - "name": "missed_payments_1y", - "valueType": "INT64" - }, - { - "name": "missed_payments_6m", - "valueType": "INT64" - }, - { - "name": "bankruptcies", - "valueType": "INT64" - } - ], + "description": "Date of birth and last four digits of social security number", + "joinKey": "dob_ssn", + "name": "dob_ssn", "tags": { - "access_group": "feast-team@tecton.ai", - "experiments": "experiment-A", - "date_added": "2022-02-6" - }, - "ttl": "777600000s", - "batchSource": { - "type": "BATCH_FILE", - "eventTimestampColumn": "event_timestamp", - "createdTimestampColumn": "created_timestamp", - "fileOptions": { - "fileUrl": "data/credit_history.parquet" - }, - "dataSourceClassType": "feast.infra.offline_stores.file_source.FileSource", - "name": "credit_history", - "meta": { - "latestEventTimestamp": "2021-08-29T22:01:04.746575Z", - "earliestEventTimestamp": "2020-04-26T22:01:04.746575Z" - } + "owner": "tony@tecton.ai", + "team": "hack week" }, - "online": true - }, - "meta": { - "createdTimestamp": "2022-02-09T20:40:53.101460Z", - "lastUpdatedTimestamp": "2022-02-11T20:15:13.735432Z", - "materializationIntervals": [ - { - "startTime": "1997-06-20T20:41:14.456417Z", - "endTime": "2019-02-09T20:41:11Z" - }, - { - "startTime": "2019-02-09T20:41:11Z", - "endTime": "2022-02-09T20:42:03Z" - }, - { - "startTime": "2022-02-09T20:42:03Z", - "endTime": "2022-02-11T00:18:02Z" - } - ] + "valueType": "STRING" } }, { - "spec": { - "name": "zipcode_features", - "entities": ["zipcode"], - "features": [ - { - "name": "city", - "valueType": "STRING" - }, - { - "name": "state", - "valueType": "STRING" - }, - { - "name": "location_type", - "valueType": "STRING" - }, - { - "name": "tax_returns_filed", - "valueType": "INT64" - }, - { - "name": "population", - "valueType": "INT64" - }, - { - "name": "total_wages", - "valueType": "INT64" - } - ], - "tags": { - "experiments": "experiment-A,experiment-B,experiment-C", - "date_added": "2022-02-7", - "access_group": "feast-team@tecton.ai" - }, - "ttl": "315360000s", - "batchSource": { - "type": "BATCH_FILE", - "eventTimestampColumn": "event_timestamp", - "createdTimestampColumn": "created_timestamp", - "fileOptions": { - "fileUrl": "data/zipcode_table.parquet" - }, - "dataSourceClassType": "feast.infra.offline_stores.file_source.FileSource", - "name": "zipcode", - "meta": { - "latestEventTimestamp": "2017-01-01T12:00:00Z", - "earliestEventTimestamp": "2017-01-01T12:00:00Z" - } - }, - "online": true - }, "meta": { - "createdTimestamp": "2022-02-11T20:12:50.182923Z", - "lastUpdatedTimestamp": "2022-02-11T20:15:21.790447Z" - } - }, - { + "createdTimestamp": "2022-05-11T19:27:03.171153Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:03.171153Z" + }, "spec": { - "name": "zipcode_money_features", - "entities": ["zipcode"], - "features": [ - { - "name": "tax_returns_filed", - "valueType": "INT64" - }, - { - "name": "total_wages", - "valueType": "INT64" - } - ], + "description": "A zipcode", + "joinKey": "zipcode", + "name": "zipcode", "tags": { - "experiments": "experiment-A,experiment-B,experiment-C", - "access_group": "feast-team@tecton.ai", - "date_added": "2022-02-7", - "test_apple": "2022-02-7", - "test_banana": "2022-02-7", - "test_cherry": "2022-02-7", - "test_danish": "2022-02-7", - "test_eggplant": "2022-02-7", - "test_figs": "2022-02-7", - "test_grape": "2022-02-7", - "test_honey": "2022-02-7", - "test_ice": "2022-02-7", - "test_jackfruit": "2022-02-7", - "test_kiwi_fruit": "2022-02-7", - "test_lychee": "2022-02-7", - "test_mango": "2022-02-7", - "test_orange": "2022-02-7", - "test_peach": "2022-02-7", - "test_question": "2022-02-7", - "test_ruby": "2022-02-7", - "test_starfruit": "2022-02-7", - "test_tamarind": "2022-02-7" - }, - "ttl": "315360000s", - "batchSource": { - "type": "BATCH_FILE", - "eventTimestampColumn": "event_timestamp", - "createdTimestampColumn": "created_timestamp", - "fileOptions": { - "fileUrl": "data/zipcode_table.parquet" - }, - "dataSourceClassType": "feast.infra.offline_stores.file_source.FileSource", - "name": "zipcode", - "meta": { - "latestEventTimestamp": "2017-01-01T12:00:00Z", - "earliestEventTimestamp": "2017-01-01T12:00:00Z" - } + "owner": "danny@tecton.ai", + "team": "hack week" }, - "online": true - }, - "meta": { - "createdTimestamp": "2022-02-11T20:10:53.228047Z", - "lastUpdatedTimestamp": "2022-02-11T20:15:15.949101Z" + "valueType": "INT64" } } ], "featureServices": [ { + "meta": { + "createdTimestamp": "2022-05-11T19:27:03.172623Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:03.172623Z" + }, "spec": { - "name": "credit_score_v1", + "description": "Credit scoring model", "features": [ { - "featureViewName": "credit_history", "featureColumns": [ { "name": "credit_card_due", "valueType": "INT64" }, - { - "name": "mortgage_due", - "valueType": "INT64" - }, { "name": "missed_payments_1y", "valueType": "INT64" } - ] + ], + "featureViewName": "credit_history" }, { - "featureViewName": "zipcode_features", "featureColumns": [ { "name": "city", @@ -333,25 +124,26 @@ "name": "total_wages", "valueType": "INT64" } - ] + ], + "featureViewName": "zipcode_features" } ], + "name": "credit_score_v1", "tags": { "owner": "tony@tecton.ai", "stage": "staging" - }, - "description": "Credit scoring model" - }, - "meta": { - "createdTimestamp": "2022-02-11T20:12:50.186773Z" + } } }, { + "meta": { + "createdTimestamp": "2022-05-11T19:27:03.172405Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:03.172405Z" + }, "spec": { - "name": "credit_score_v2", + "description": "Credit scoring model", "features": [ { - "featureViewName": "credit_history", "featureColumns": [ { "name": "credit_card_due", @@ -365,10 +157,10 @@ "name": "missed_payments_1y", "valueType": "INT64" } - ] + ], + "featureViewName": "credit_history" }, { - "featureViewName": "zipcode_features", "featureColumns": [ { "name": "city", @@ -394,34 +186,26 @@ "name": "total_wages", "valueType": "INT64" } - ] - }, - { - "featureViewName": "transaction_request_fv", - "featureColumns": [ - { - "name": "transaction_amt", - "valueType": "INT64" - } - ] + ], + "featureViewName": "zipcode_features" } ], + "name": "credit_score_v2", "tags": { - "stage": "prod", - "owner": "tony@tecton.ai" - }, - "description": "Credit scoring model" - }, - "meta": { - "createdTimestamp": "2022-02-11T20:12:50.185785Z" + "owner": "tony@tecton.ai", + "stage": "prod" + } } }, { + "meta": { + "createdTimestamp": "2022-05-11T19:27:03.172264Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:03.172264Z" + }, "spec": { - "name": "credit_score_v3", + "description": "Credit scoring model", "features": [ { - "featureViewName": "credit_history", "featureColumns": [ { "name": "credit_card_due", @@ -435,10 +219,10 @@ "name": "missed_payments_1y", "valueType": "INT64" } - ] + ], + "featureViewName": "credit_history" }, { - "featureViewName": "zipcode_features", "featureColumns": [ { "name": "city", @@ -464,34 +248,35 @@ "name": "total_wages", "valueType": "INT64" } - ] + ], + "featureViewName": "zipcode_features" }, { - "featureViewName": "transaction_gt_last_credit_card_due", "featureColumns": [ { "name": "transaction_gt_last_credit_card_due", "valueType": "BOOL" } - ] + ], + "featureViewName": "transaction_gt_last_credit_card_due" } ], + "name": "credit_score_v3", "tags": { - "stage": "dev", - "owner": "tony@tecton.ai" - }, - "description": "Credit scoring model" - }, - "meta": { - "createdTimestamp": "2022-02-11T20:12:50.186367Z" + "owner": "tony@tecton.ai", + "stage": "dev" + } } }, { + "meta": { + "createdTimestamp": "2022-05-11T19:27:03.172530Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:03.172530Z" + }, "spec": { - "name": "zipcode_model", + "description": "Location model", "features": [ { - "featureViewName": "zipcode_features", "featureColumns": [ { "name": "city", @@ -517,25 +302,26 @@ "name": "total_wages", "valueType": "INT64" } - ] + ], + "featureViewName": "zipcode_features" } ], + "name": "zipcode_model", "tags": { - "stage": "dev", - "owner": "amanda@tecton.ai" - }, - "description": "Location model" - }, - "meta": { - "createdTimestamp": "2022-02-11T20:12:50.187069Z" + "owner": "amanda@tecton.ai", + "stage": "dev" + } } }, { + "meta": { + "createdTimestamp": "2022-05-11T19:27:03.172188Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:03.172188Z" + }, "spec": { - "name": "zipcode_model_v2", + "description": "Location model", "features": [ { - "featureViewName": "zipcode_money_features", "featureColumns": [ { "name": "tax_returns_filed", @@ -545,45 +331,242 @@ "name": "total_wages", "valueType": "INT64" } - ] + ], + "featureViewName": "zipcode_money_features" } ], + "name": "zipcode_model_v2", "tags": { "owner": "amanda@tecton.ai", "stage": "dev" + } + } + } + ], + "featureViews": [ + { + "meta": { + "createdTimestamp": "2022-05-11T19:27:03.171421Z", + "lastUpdatedTimestamp": "2022-05-11T19:28:21.444739Z", + "materializationIntervals": [ + { + "endTime": "2019-05-11T19:27:05Z", + "startTime": "1997-09-19T19:27:13.273753Z" + }, + { + "endTime": "2022-05-11T19:27:43Z", + "startTime": "2019-05-11T19:27:05Z" + } + ] + }, + "spec": { + "batchSource": { + "createdTimestampColumn": "created_timestamp", + "dataSourceClassType": "feast.infra.offline_stores.file_source.FileSource", + "fileOptions": { + "uri": "data/credit_history.parquet" + }, + "name": "credit_history", + "timestampField": "event_timestamp", + "type": "BATCH_FILE" + }, + "entities": [ + "dob_ssn" + ], + "features": [ + { + "name": "credit_card_due", + "valueType": "INT64" + }, + { + "name": "mortgage_due", + "valueType": "INT64" + }, + { + "name": "student_loan_due", + "valueType": "INT64" + }, + { + "name": "vehicle_loan_due", + "valueType": "INT64" + }, + { + "name": "hard_pulls", + "valueType": "INT64" + }, + { + "name": "missed_payments_2y", + "valueType": "INT64" + }, + { + "name": "missed_payments_1y", + "valueType": "INT64" + }, + { + "name": "missed_payments_6m", + "valueType": "INT64" + }, + { + "name": "bankruptcies", + "valueType": "INT64" + } + ], + "name": "credit_history", + "online": true, + "tags": { + "access_group": "feast-team@tecton.ai", + "date_added": "2022-02-6", + "experiments": "experiment-A" }, - "description": "Location model" + "ttl": "777600000s" + } + }, + { + "meta": { + "createdTimestamp": "2022-05-11T19:27:03.171300Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:46.002348Z", + "materializationIntervals": [ + { + "endTime": "2019-05-11T19:27:05Z", + "startTime": "2012-05-13T19:27:08.483036Z" + }, + { + "endTime": "2022-05-11T19:27:43Z", + "startTime": "2019-05-11T19:27:05Z" + } + ] }, + "spec": { + "batchSource": { + "createdTimestampColumn": "created_timestamp", + "dataSourceClassType": "feast.infra.offline_stores.file_source.FileSource", + "fileOptions": { + "uri": "data/zipcode_table.parquet" + }, + "name": "zipcode", + "timestampField": "event_timestamp", + "type": "BATCH_FILE" + }, + "entities": [ + "zipcode" + ], + "features": [ + { + "name": "city", + "valueType": "STRING" + }, + { + "name": "state", + "valueType": "STRING" + }, + { + "name": "location_type", + "valueType": "STRING" + }, + { + "name": "tax_returns_filed", + "valueType": "INT64" + }, + { + "name": "population", + "valueType": "INT64" + }, + { + "name": "total_wages", + "valueType": "INT64" + } + ], + "name": "zipcode_features", + "online": true, + "tags": { + "access_group": "feast-team@tecton.ai", + "date_added": "2022-02-7", + "experiments": "experiment-A,experiment-B,experiment-C" + }, + "ttl": "315360000s" + } + }, + { "meta": { - "createdTimestamp": "2022-02-11T20:17:15.582561Z" + "createdTimestamp": "2022-05-11T19:27:03.171195Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:45.942549Z", + "materializationIntervals": [ + { + "endTime": "2019-05-11T19:27:05Z", + "startTime": "2012-05-13T19:27:06.493847Z" + }, + { + "endTime": "2022-05-11T19:27:43Z", + "startTime": "2019-05-11T19:27:05Z" + } + ] + }, + "spec": { + "batchSource": { + "createdTimestampColumn": "created_timestamp", + "dataSourceClassType": "feast.infra.offline_stores.file_source.FileSource", + "fileOptions": { + "uri": "data/zipcode_table.parquet" + }, + "name": "zipcode", + "timestampField": "event_timestamp", + "type": "BATCH_FILE" + }, + "entities": [ + "zipcode" + ], + "features": [ + { + "name": "tax_returns_filed", + "valueType": "INT64" + }, + { + "name": "total_wages", + "valueType": "INT64" + } + ], + "name": "zipcode_money_features", + "online": true, + "tags": { + "access_group": "feast-team@tecton.ai", + "date_added": "2022-02-7", + "experiments": "experiment-A,experiment-B,experiment-C" + }, + "ttl": "315360000s" } } ], + "infra": [ + { + "name": "credit_scoring_aws_credit_history", + "path": "/Users/dannychiao/GitHub/feast/ui/feature_repo/data/online.db" + }, + { + "name": "credit_scoring_aws_zipcode_features", + "path": "/Users/dannychiao/GitHub/feast/ui/feature_repo/data/online.db" + }, + { + "name": "credit_scoring_aws_zipcode_money_features", + "path": "/Users/dannychiao/GitHub/feast/ui/feature_repo/data/online.db" + } + ], "onDemandFeatureViews": [ { + "meta": { + "createdTimestamp": "2022-05-11T19:27:03.171556Z", + "lastUpdatedTimestamp": "2022-05-11T19:27:03.171556Z" + }, "spec": { - "name": "transaction_gt_last_credit_card_due", "features": [ { "name": "transaction_gt_last_credit_card_due", "valueType": "BOOL" } ], - "inputs": { - "transaction": { - "requestDataSource": { - "type": "REQUEST_SOURCE", - "requestDataOptions": { - "schema": { - "transaction_amt": "INT64" - } - }, - "name": "transaction" - } - }, + "name": "transaction_gt_last_credit_card_due", + "sources": { "credit_history": { "featureViewProjection": { - "featureViewName": "credit_history", "featureColumns": [ { "name": "credit_card_due", @@ -621,169 +604,31 @@ "name": "bankruptcies", "valueType": "INT64" } - ] - } - } - }, - "userDefinedFunction": { - "name": "transaction_gt_last_credit_card_due", - "body": "@on_demand_feature_view(\n sources={\"credit_history\": credit_history, \"transaction\": input_request,},\n schema=[\n Field(name=\"transaction_gt_last_credit_card_due\", dtype=Bool),\n ],\n)\ndef transaction_gt_last_credit_card_due(inputs: pd.DataFrame) -> pd.DataFrame:\n df = pd.DataFrame()\n df[\"transaction_gt_last_credit_card_due\"] = (\n inputs[\"transaction_amt\"] > inputs[\"credit_card_due\"]\n )\n return df\n" - } - }, - "meta": { - "createdTimestamp": "2022-02-11T20:17:15.581514Z", - "lastUpdatedTimestamp": "2022-02-11T20:17:15.581514Z" - } - } - ], - "requestFeatureViews": [ - { - "spec": { - "name": "transaction_request_fv", - "requestDataSource": { - "type": "REQUEST_SOURCE", - "requestDataOptions": { - "schema": { - "transaction_amt": "INT64" + ], + "featureViewName": "credit_history" } }, - "name": "transaction" - } - } - } - ], - "savedDatasets": [ - { - "spec": { - "name": "my_training_ds", - "features": [ - "credit_history:credit_card_due", - "credit_history:mortgage_due", - "credit_history:missed_payments_1y", - "zipcode_features:city", - "zipcode_features:state", - "zipcode_features:location_type", - "zipcode_features:tax_returns_filed", - "zipcode_features:population", - "zipcode_features:total_wages" - ], - "joinKeys": [ - "person_income", - "person_emp_length", - "created_timestamp", - "zipcode", - "person_home_ownership", - "loan_amnt", - "person_age", - "loan_int_rate", - "loan_status", - "loan_id", - "dob_ssn", - "loan_intent" - ], - "storage": { - "fileStorage": { - "fileFormat": { - "parquetFormat": {} - }, - "fileUrl": "my_training_ds.parquet" - } - }, - "featureService": { - "spec": { - "name": "credit_score_v1", - "features": [ - { - "featureViewName": "credit_history", - "featureColumns": [ - { - "name": "credit_card_due", - "valueType": "INT64" - }, - { - "name": "mortgage_due", - "valueType": "INT64" - }, + "transaction": { + "requestDataSource": { + "name": "transaction", + "requestDataOptions": { + "schema": [ { - "name": "missed_payments_1y", + "name": "transaction_amt", "valueType": "INT64" } ] }, - { - "featureViewName": "zipcode_features", - "featureColumns": [ - { - "name": "city", - "valueType": "STRING" - }, - { - "name": "state", - "valueType": "STRING" - }, - { - "name": "location_type", - "valueType": "STRING" - }, - { - "name": "tax_returns_filed", - "valueType": "INT64" - }, - { - "name": "population", - "valueType": "INT64" - }, - { - "name": "total_wages", - "valueType": "INT64" - } - ] - } - ], - "tags": { - "stage": "staging", - "owner": "tony@tecton.ai" - }, - "description": "Credit scoring model" - }, - "meta": { - "createdTimestamp": "2022-02-09T20:40:53.103078Z" + "type": "REQUEST_SOURCE" + } } }, - "profile": "{\"meta\": {\"great_expectations_version\": \"0.14.4\"}, \"expectations\": [{\"meta\": {}, \"kwargs\": {\"column\": \"credit_card_due\", \"min_value\": 0, \"mostly\": 0.99}, \"expectation_type\": \"expect_column_values_to_be_between\"}, {\"meta\": {}, \"kwargs\": {\"column\": \"missed_payments_1y\", \"min_value\": 0, \"max_value\": 5, \"mostly\": 0.99}, \"expectation_type\": \"expect_column_values_to_be_between\"}], \"data_asset_type\": \"Dataset\", \"expectation_suite_name\": \"default\", \"ge_cloud_id\": null}" - }, - "meta": { - "createdTimestamp": "2022-02-09T20:44:03.377806Z", - "minEventTimestamp": "2020-08-25T20:34:41.361Z", - "maxEventTimestamp": "2021-08-25T20:34:41.361Z" + "userDefinedFunction": { + "body": "@on_demand_feature_view(\n sources=[credit_history, input_request],\n schema=[\n Field(name=\"transaction_gt_last_credit_card_due\", dtype=Bool),\n ],\n)\ndef transaction_gt_last_credit_card_due(inputs: pd.DataFrame) -> pd.DataFrame:\n df = pd.DataFrame()\n df[\"transaction_gt_last_credit_card_due\"] = (\n inputs[\"transaction_amt\"] > inputs[\"credit_card_due\"]\n )\n return df\n", + "name": "transaction_gt_last_credit_card_due" + } } } ], - "infra": [ - { - "infraObjects": [ - { - "infraObjectClassType": "feast.infra.online_stores.sqlite.SqliteTable", - "sqliteTable": { - "path": "/Users/dannychiao/GitHub/feast-ui/feature_repo/data/online.db", - "name": "credit_scoring_aws_credit_history" - } - }, - { - "infraObjectClassType": "feast.infra.online_stores.sqlite.SqliteTable", - "sqliteTable": { - "path": "/Users/dannychiao/GitHub/feast-ui/feature_repo/data/online.db", - "name": "credit_scoring_aws_zipcode_features" - } - }, - { - "infraObjectClassType": "feast.infra.online_stores.sqlite.SqliteTable", - "sqliteTable": { - "path": "/Users/dannychiao/GitHub/feast-ui/feature_repo/data/online.db", - "name": "credit_scoring_aws_zipcode_money_features" - } - } - ] - } - ] + "project": "credit_scoring_aws" } diff --git a/ui/src/components/TagsDisplay.tsx b/ui/src/components/TagsDisplay.tsx index 6f7f23b0072..87e48638474 100644 --- a/ui/src/components/TagsDisplay.tsx +++ b/ui/src/components/TagsDisplay.tsx @@ -9,11 +9,36 @@ import EuiCustomLink from "./EuiCustomLink"; interface TagsDisplayProps { createLink?: (key: string, value: string) => string; tags: Record; + owner?: string; + description?: string; } -const TagsDisplay = ({ tags, createLink }: TagsDisplayProps) => { +const TagsDisplay = ({ + tags, + createLink, + owner, + description, +}: TagsDisplayProps) => { return ( + {owner ? ( + + owner + {owner} + + ) : ( + "" + )} + {description ? ( + + description + + {description} + + + ) : ( + "" + )} {Object.entries(tags).map(([key, value]) => { return ( diff --git a/ui/src/index.tsx b/ui/src/index.tsx index d4f1013503d..df12722a64c 100644 --- a/ui/src/index.tsx +++ b/ui/src/index.tsx @@ -75,8 +75,15 @@ ReactDOM.render( reactQueryClient={queryClient} feastUIConfigs={{ tabsRegistry: tabsRegistry, + projectListPromise: fetch("http://0.0.0.0:8888/projects-list", { + headers: { + "Content-Type": "application/json", + }, + }).then((res) => { + return res.json(); + }) }} /> , document.getElementById("root") -); +); \ No newline at end of file diff --git a/ui/src/pages/data-sources/BatchSourcePropertiesView.tsx b/ui/src/pages/data-sources/BatchSourcePropertiesView.tsx index 3bc72762033..97f9f58d274 100644 --- a/ui/src/pages/data-sources/BatchSourcePropertiesView.tsx +++ b/ui/src/pages/data-sources/BatchSourcePropertiesView.tsx @@ -1,115 +1,136 @@ import React from "react"; import { - EuiCodeBlock, - EuiDescriptionList, - EuiDescriptionListDescription, - EuiDescriptionListTitle, - EuiFlexGroup, - EuiFlexItem, - EuiSpacer, - EuiTitle, - } from "@elastic/eui"; + EuiCodeBlock, + EuiDescriptionList, + EuiDescriptionListDescription, + EuiDescriptionListTitle, + EuiFlexGroup, + EuiFlexItem, + EuiSpacer, + EuiTitle, +} from "@elastic/eui"; interface BatchSourcePropertiesViewProps { - batchSource: { - type?: string | undefined; - dataSourceClassType?: string | undefined; - fileOptions?: { - fileUrl?: string | undefined; - } | undefined; - meta?: { - latestEventTimestamp?: Date | undefined; - earliestEventTimestamp?: Date | undefined; - } | undefined; - bigqueryOptions?: { - dbtModelSerialized?: string | undefined - } | undefined; - } + batchSource: { + type?: string | undefined; + owner?: string | undefined; + description?: string | undefined; + dataSourceClassType?: string | undefined; + fileOptions?: + | { + uri?: string | undefined; + } + | undefined; + meta?: + | { + latestEventTimestamp?: Date | undefined; + earliestEventTimestamp?: Date | undefined; + } + | undefined; + bigqueryOptions?: + | { + dbtModelSerialized?: string | undefined; + } + | undefined; + }; } const BatchSourcePropertiesView = (props: BatchSourcePropertiesViewProps) => { - const batchSource = props.batchSource; - return ( - - - - - {(batchSource.dataSourceClassType || batchSource.type) && - - Source Type - {batchSource.dataSourceClassType ? ( - - {batchSource.dataSourceClassType - .split(".") - .at(-1)} - ) - : batchSource.type ? ( - {batchSource.type} - ) - : ""} - } - - {batchSource.fileOptions && ( - - - File URL - - - {batchSource.fileOptions - ? batchSource.fileOptions.fileUrl - : ""} - - - )} - {batchSource.meta?.latestEventTimestamp && ( - - - Latest Event - - - {batchSource.meta.latestEventTimestamp.toLocaleDateString( - "en-CA" - )} - - - )} - {batchSource.meta?.earliestEventTimestamp && ( - - - Earliest Event - - - {batchSource.meta.earliestEventTimestamp.toLocaleDateString( - "en-CA" - )} - - - )} - - - - {batchSource.bigqueryOptions?.dbtModelSerialized && ( - - - - )} - {batchSource.bigqueryOptions?.dbtModelSerialized && ( - - -

Dbt Transformation

-
- - {batchSource.bigqueryOptions.dbtModelSerialized} - -
+ const batchSource = props.batchSource; + return ( + + + + + {(batchSource.dataSourceClassType || batchSource.type) && ( + + Source Type + {batchSource.dataSourceClassType ? ( + + {batchSource.dataSourceClassType.split(".").at(-1)} + + ) : batchSource.type ? ( + + {batchSource.type} + + ) : ( + "" )} - - ); +
+ )} + + {batchSource.owner && ( + + Owner + + {batchSource.owner} + + + )} + {batchSource.description && ( + + Description + + {batchSource.description} + + + )} + {batchSource.fileOptions && ( + + File URL + + {batchSource.fileOptions ? batchSource.fileOptions.uri : ""} + + + )} + {batchSource.meta?.latestEventTimestamp && ( + + Latest Event + + {batchSource.meta.latestEventTimestamp.toLocaleDateString( + "en-CA" + )} + + + )} + {batchSource.meta?.earliestEventTimestamp && ( + + + Earliest Event + + + {batchSource.meta.earliestEventTimestamp.toLocaleDateString( + "en-CA" + )} + + + )} +
+ + + {batchSource.bigqueryOptions?.dbtModelSerialized && ( + + + + )} + {batchSource.bigqueryOptions?.dbtModelSerialized && ( + + +

Dbt Transformation

+
+ + {batchSource.bigqueryOptions.dbtModelSerialized} + +
+ )} + + + ); }; export default BatchSourcePropertiesView; diff --git a/ui/src/pages/data-sources/DataSourceOverviewTab.tsx b/ui/src/pages/data-sources/DataSourceOverviewTab.tsx index f7c05000e78..124a0e6ab92 100644 --- a/ui/src/pages/data-sources/DataSourceOverviewTab.tsx +++ b/ui/src/pages/data-sources/DataSourceOverviewTab.tsx @@ -27,7 +27,6 @@ const DataSourceOverviewTab = () => { const { isLoading, isSuccess, isError, data, consumingFeatureViews } = useLoadDataSource(dsName); const isEmpty = data === undefined; - console.log(consumingFeatureViews); return ( @@ -51,7 +50,7 @@ const DataSourceOverviewTab = () => { {data.fileOptions || data.bigqueryOptions ? ( - ) : data.requestDataOptions ? ( + ) : data.type ? ( @@ -62,7 +61,7 @@ const DataSourceOverviewTab = () => { - ): ( + ) : ( "" )} @@ -78,12 +77,10 @@ const DataSourceOverviewTab = () => { { + fields={data.requestDataOptions.schema.map((obj) => { return { - fieldName: field, - valueType: type, + fieldName: obj.name, + valueType: obj.valueType, }; })} /> diff --git a/ui/src/pages/feature-views/OnDemandFeatureViewOverviewTab.tsx b/ui/src/pages/feature-views/OnDemandFeatureViewOverviewTab.tsx index 9bd725534ee..1ea509d8df9 100644 --- a/ui/src/pages/feature-views/OnDemandFeatureViewOverviewTab.tsx +++ b/ui/src/pages/feature-views/OnDemandFeatureViewOverviewTab.tsx @@ -38,7 +38,7 @@ const whereFSconsumesThisFv = (fvName: string) => { const OnDemandFeatureViewOverviewTab = ({ data, }: OnDemandFeatureViewOverviewTabProps) => { - const inputs = Object.entries(data.spec.inputs); + const inputs = Object.entries(data.spec.sources); const relationshipQuery = useLoadRelationshipData(); const fsNames = relationshipQuery.data diff --git a/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx b/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx index 72ea646c95f..d284d697e81 100644 --- a/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx +++ b/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx @@ -60,27 +60,6 @@ const RegularFeatureViewOverviewTab = ({ - {data.spec.batchSource.meta ? ( - - - - ) : ( - No batchSource specified on this feature view. - )} - {data.meta.lastUpdatedTimestamp && ( - - - - )} @@ -96,7 +75,7 @@ const RegularFeatureViewOverviewTab = ({ features={data.spec.features} /> ) : ( - No Tags specified on this feature view. + No features specified on this feature view. )} @@ -156,6 +135,8 @@ const RegularFeatureViewOverviewTab = ({ encodeSearchQueryString(`${key}:${value}`) ); }} + owner={data.spec.owner} + description={data.spec.description} /> ) : ( No Tags specified on this feature view. diff --git a/ui/src/parsers/feastDatasources.ts b/ui/src/parsers/feastDatasources.ts index a9f58d716c3..3e1dca72d1f 100644 --- a/ui/src/parsers/feastDatasources.ts +++ b/ui/src/parsers/feastDatasources.ts @@ -1,20 +1,22 @@ import { z } from "zod"; -import { FEAST_FEATURE_VALUE_TYPES } from "./types"; +import { FeastFeatureColumnSchema } from "./feastFeatureViews"; const FeastDatasourceSchema = z.object({ type: z.string(), eventTimestampColumn: z.string().optional(), createdTimestampColumn: z.string().optional(), fileOptions: z.object({ - fileUrl: z.string().optional(), + uri: z.string().optional(), }).optional(), name: z.string(), + description: z.string().optional(), + owner: z.string().optional(), meta: z.object({ latestEventTimestamp: z.string().transform((val) => new Date(val)), earliestEventTimestamp: z.string().transform((val) => new Date(val)), }).optional(), requestDataOptions: z.object({ - schema: z.record(z.nativeEnum(FEAST_FEATURE_VALUE_TYPES)), + schema: z.array(FeastFeatureColumnSchema), }).optional(), bigqueryOptions: z.object({ tableRef: z.string().optional(), diff --git a/ui/src/parsers/feastFeatureViews.ts b/ui/src/parsers/feastFeatureViews.ts index c8cdadd25c3..3e63b5afd0e 100644 --- a/ui/src/parsers/feastFeatureViews.ts +++ b/ui/src/parsers/feastFeatureViews.ts @@ -4,6 +4,7 @@ import { FEAST_FEATURE_VALUE_TYPES } from "./types"; const FeastFeatureColumnSchema = z.object({ name: z.string(), valueType: z.nativeEnum(FEAST_FEATURE_VALUE_TYPES), + tags: z.record(z.string()).optional(), }); const FeastBatchSourceSchema = z.object({ @@ -11,9 +12,11 @@ const FeastBatchSourceSchema = z.object({ eventTimestampColumn: z.string().optional(), createdTimestampColumn: z.string().optional(), fileOptions: z.object({ - fileUrl: z.string().optional(), + uri: z.string().optional(), }).optional(), name: z.string().optional(), + description: z.string().optional(), + owner: z.string().optional(), meta: z.object({ earliestEventTimestamp: z.string().transform((val) => new Date(val)), latestEventTimestamp: z.string().transform((val) => new Date(val)), @@ -30,12 +33,14 @@ const FeastBatchSourceSchema = z.object({ const FeastFeatureViewSchema = z.object({ spec: z.object({ + description: z.string().optional(), name: z.string(), entities: z.array(z.string()), features: z.array(FeastFeatureColumnSchema), ttl: z.string().transform((val) => parseInt(val)), batchSource: FeastBatchSourceSchema, online: z.boolean(), + owner: z.string().optional(), tags: z.record(z.string()).optional(), }), meta: z.object({ diff --git a/ui/src/parsers/feastODFVS.ts b/ui/src/parsers/feastODFVS.ts index ebac09e1634..8341438d50c 100644 --- a/ui/src/parsers/feastODFVS.ts +++ b/ui/src/parsers/feastODFVS.ts @@ -14,7 +14,7 @@ const RequestDataSourceSchema = z.object({ type: z.string(), name: z.string(), requestDataOptions: z.object({ - schema: z.record(z.nativeEnum(FEAST_FEATURE_VALUE_TYPES)), + schema: z.array(FeastFeatureColumnSchema), }), }), }); @@ -28,7 +28,7 @@ const FeastODFVSchema = z.object({ spec: z.object({ name: z.string(), features: z.array(FeastFeatureColumnSchema), - inputs: z.record(ODFVInputsSchema), + sources: z.record(ODFVInputsSchema), userDefinedFunction: z.object({ name: z.string(), body: z.string(), diff --git a/ui/src/parsers/parseEntityRelationships.ts b/ui/src/parsers/parseEntityRelationships.ts index bf82e86ff9c..f54bff63a1c 100644 --- a/ui/src/parsers/parseEntityRelationships.ts +++ b/ui/src/parsers/parseEntityRelationships.ts @@ -57,7 +57,7 @@ const parseEntityRelationships = (objects: FeastRegistryType) => { }); objects.onDemandFeatureViews?.forEach((fv) => { - Object.values(fv.spec.inputs).forEach((input: { [key: string]: any }) => { + Object.values(fv.spec.sources).forEach((input: { [key: string]: any }) => { if (input.requestDataSource) { links.push({ source: { From 4060c3da76d451bfc065fd3b5cdcef094accd291 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 11 May 2022 19:56:36 -0400 Subject: [PATCH 71/87] ci: Allow pr_integration_tests to also run on lgtm (#2674) Signed-off-by: Danny Chiao --- .github/workflows/pr_integration_tests.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/pr_integration_tests.yml b/.github/workflows/pr_integration_tests.yml index e32d0504b64..d412d684416 100644 --- a/.github/workflows/pr_integration_tests.yml +++ b/.github/workflows/pr_integration_tests.yml @@ -16,8 +16,8 @@ jobs: build-docker-image: # all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes. if: - (github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'ok-to-test')) || - (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved'))) + (github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) || + (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm'))) runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 @@ -74,8 +74,8 @@ jobs: integration-test-python: # all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes. if: - (github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'ok-to-test')) || - (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved'))) + (github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) || + (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm'))) needs: build-docker-image runs-on: ${{ matrix.os }} strategy: From 36849fb76716ba663d347369dfec3f3bbfcac3f8 Mon Sep 17 00:00:00 2001 From: Abhin Chhabra Date: Wed, 11 May 2022 20:37:38 -0400 Subject: [PATCH 72/87] fix: Reject undefined features when using `get_historical_features` or `get_online_features` (#2665) Reject undefined features when using `get_historical_features` or `get_online_features`. Signed-off-by: Abhin Chhabra --- sdk/python/feast/feature_store.py | 9 ++- sdk/python/feast/feature_view_projection.py | 8 +++ .../test_universal_historical_retrieval.py | 42 +++++++++++++- .../online_store/test_universal_online.py | 56 ++++++++++++++++++- 4 files changed, 112 insertions(+), 3 deletions(-) diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 90bd35a213b..53c4619ed61 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -875,7 +875,7 @@ def get_historical_features( DeprecationWarning, ) - # TODO(achal): _group_feature_refs returns the on demand feature views, but it's no passed into the provider. + # TODO(achal): _group_feature_refs returns the on demand feature views, but it's not passed into the provider. # This is a weird interface quirk - we should revisit the `get_historical_features` to # pass in the on demand feature views as well. fvs, odfvs, request_fvs, request_fv_refs = _group_feature_refs( @@ -2125,8 +2125,12 @@ def _group_feature_refs( for ref in features: view_name, feat_name = ref.split(":") if view_name in view_index: + view_index[view_name].projection.get_feature(feat_name) # For validation views_features[view_name].add(feat_name) elif view_name in on_demand_view_index: + on_demand_view_index[view_name].projection.get_feature( + feat_name + ) # For validation on_demand_view_features[view_name].add(feat_name) # Let's also add in any FV Feature dependencies here. for input_fv_projection in on_demand_view_index[ @@ -2135,6 +2139,9 @@ def _group_feature_refs( for input_feat in input_fv_projection.features: views_features[input_fv_projection.name].add(input_feat.name) elif view_name in request_view_index: + request_view_index[view_name].projection.get_feature( + feat_name + ) # For validation request_views_features[view_name].add(feat_name) request_view_refs.add(ref) else: diff --git a/sdk/python/feast/feature_view_projection.py b/sdk/python/feast/feature_view_projection.py index a8e0e8cfe52..fbf0db5ccdf 100644 --- a/sdk/python/feast/feature_view_projection.py +++ b/sdk/python/feast/feature_view_projection.py @@ -64,3 +64,11 @@ def from_definition(base_feature_view: "BaseFeatureView"): name_alias=None, features=base_feature_view.features, ) + + def get_feature(self, feature_name: str) -> Field: + try: + return next(field for field in self.features if field.name == feature_name) + except StopIteration: + raise KeyError( + f"Feature {feature_name} not found in projection {self.name_to_use()}" + ) diff --git a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py index 1b7dab2110d..d5f49a1f958 100644 --- a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py +++ b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py @@ -21,7 +21,7 @@ from feast.infra.offline_stores.offline_utils import ( DEFAULT_ENTITY_DF_EVENT_TIMESTAMP_COL, ) -from feast.types import Int32 +from feast.types import Float32, Int32 from feast.value_type import ValueType from tests.integration.feature_repos.repo_configuration import ( construct_universal_feature_views, @@ -410,6 +410,46 @@ def test_historical_features(environment, universal_data_sources, full_feature_n ) +@pytest.mark.integration +@pytest.mark.universal +@pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) +def test_historical_features_with_shared_batch_source( + environment, universal_data_sources, full_feature_names +): + # Addresses https://github.com/feast-dev/feast/issues/2576 + + store = environment.feature_store + + entities, datasets, data_sources = universal_data_sources + driver_stats_v1 = FeatureView( + name="driver_stats_v1", + entities=["driver"], + schema=[Field(name="avg_daily_trips", dtype=Int32)], + source=data_sources.driver, + ) + driver_stats_v2 = FeatureView( + name="driver_stats_v2", + entities=["driver"], + schema=[ + Field(name="avg_daily_trips", dtype=Int32), + Field(name="conv_rate", dtype=Float32), + ], + source=data_sources.driver, + ) + + store.apply([driver(), driver_stats_v1, driver_stats_v2]) + + with pytest.raises(KeyError): + store.get_historical_features( + entity_df=datasets.entity_df, + features=[ + # `driver_stats_v1` does not have `conv_rate` + "driver_stats_v1:conv_rate", + ], + full_feature_names=full_feature_names, + ).to_df() + + @pytest.mark.integration @pytest.mark.universal_offline_stores def test_historical_features_with_missing_request_data( diff --git a/sdk/python/tests/integration/online_store/test_universal_online.py b/sdk/python/tests/integration/online_store/test_universal_online.py index ababb25c396..259a094426e 100644 --- a/sdk/python/tests/integration/online_store/test_universal_online.py +++ b/sdk/python/tests/integration/online_store/test_universal_online.py @@ -19,7 +19,7 @@ RequestDataNotFoundInEntityRowsException, ) from feast.online_response import TIMESTAMP_POSTFIX -from feast.types import String +from feast.types import Float32, Int32, String from feast.wait import wait_retry_backoff from tests.integration.feature_repos.repo_configuration import ( Environment, @@ -324,6 +324,60 @@ def get_online_features_dict( return dict1 +@pytest.mark.integration +@pytest.mark.universal +def test_online_retrieval_with_shared_batch_source(environment, universal_data_sources): + # Addresses https://github.com/feast-dev/feast/issues/2576 + + fs = environment.feature_store + + entities, datasets, data_sources = universal_data_sources + driver_stats_v1 = FeatureView( + name="driver_stats_v1", + entities=["driver"], + schema=[Field(name="avg_daily_trips", dtype=Int32)], + source=data_sources.driver, + ) + driver_stats_v2 = FeatureView( + name="driver_stats_v2", + entities=["driver"], + schema=[ + Field(name="avg_daily_trips", dtype=Int32), + Field(name="conv_rate", dtype=Float32), + ], + source=data_sources.driver, + ) + + fs.apply([driver(), driver_stats_v1, driver_stats_v2]) + + data = pd.DataFrame( + { + "driver_id": [1, 2], + "avg_daily_trips": [4, 5], + "conv_rate": [0.5, 0.3], + "event_timestamp": [ + pd.to_datetime(1646263500, utc=True, unit="s"), + pd.to_datetime(1646263600, utc=True, unit="s"), + ], + "created": [ + pd.to_datetime(1646263500, unit="s"), + pd.to_datetime(1646263600, unit="s"), + ], + } + ) + fs.write_to_online_store("driver_stats_v1", data.drop("conv_rate", axis=1)) + fs.write_to_online_store("driver_stats_v2", data) + + with pytest.raises(KeyError): + fs.get_online_features( + features=[ + # `driver_stats_v1` does not have `conv_rate` + "driver_stats_v1:conv_rate", + ], + entity_rows=[{"driver_id": 1}, {"driver_id": 2}], + ) + + @pytest.mark.integration @pytest.mark.universal_online_stores @pytest.mark.parametrize("full_feature_names", [True, False], ids=lambda v: str(v)) From 1b09ca26e0ab7ba5593278e039bc64d293634e67 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 11 May 2022 21:28:39 -0400 Subject: [PATCH 73/87] fix: Asynchronously refresh registry for the feast ui command (#2672) * fix: Allow Feast UI to asynchronously refresh the registry (and pass host + port values in CLI) Signed-off-by: Danny Chiao * remove lint Signed-off-by: Danny Chiao * revert change Signed-off-by: Danny Chiao * increment version Signed-off-by: Danny Chiao --- sdk/python/feast/cli.py | 32 +++++++++++++++++++-- sdk/python/feast/feature_store.py | 14 +++++++-- sdk/python/feast/ui/package.json | 2 +- sdk/python/feast/ui_server.py | 48 +++++++++++++++++++++++++++---- ui/package.json | 2 +- ui/src/index.tsx | 7 ----- 6 files changed, 86 insertions(+), 19 deletions(-) diff --git a/sdk/python/feast/cli.py b/sdk/python/feast/cli.py index d87f6260a70..a4407132e4e 100644 --- a/sdk/python/feast/cli.py +++ b/sdk/python/feast/cli.py @@ -110,16 +110,42 @@ def version(): @cli.command() +@click.option( + "--host", + "-h", + type=click.STRING, + default="0.0.0.0", + help="Specify a host for the server [default: 0.0.0.0]", +) +@click.option( + "--port", + "-p", + type=click.INT, + default=8888, + help="Specify a port for the server [default: 8888]", +) +@click.option( + "--registry_ttl_sec", + "-r", + help="Number of seconds after which the registry is refreshed. Default is 5 seconds.", + type=int, + default=5, +) @click.pass_context -def ui(ctx: click.Context): +def ui(ctx: click.Context, host: str, port: int, registry_ttl_sec: int): """ Shows the Feast UI over the current directory """ repo = ctx.obj["CHDIR"] cli_check_repo(repo) store = FeatureStore(repo_path=str(repo)) - repo_config = load_repo_config(repo) - store.serve_ui(registry_dump(repo_config, repo_path=repo)) + # Pass in the registry_dump method to get around a circular dependency + store.serve_ui( + host=host, + port=port, + get_registry_dump=registry_dump, + registry_ttl_sec=registry_ttl_sec, + ) @cli.command() diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index 53c4619ed61..73af4741ef3 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -21,6 +21,7 @@ from typing import ( TYPE_CHECKING, Any, + Callable, Dict, Iterable, List, @@ -1995,14 +1996,23 @@ def get_feature_server_endpoint(self) -> Optional[str]: return self._provider.get_feature_server_endpoint() @log_exceptions_and_usage - def serve_ui(self, registry_dump: str) -> None: + def serve_ui( + self, host: str, port: int, get_registry_dump: Callable, registry_ttl_sec: int + ) -> None: """Start the UI server locally""" warnings.warn( "The Feast UI is an experimental feature. " "We do not guarantee that future changes will maintain backward compatibility.", RuntimeWarning, ) - ui_server.start_server(self, registry_dump, self.config.project) + ui_server.start_server( + self, + host=host, + port=port, + get_registry_dump=get_registry_dump, + project_id=self.config.project, + registry_ttl_sec=registry_ttl_sec, + ) @log_exceptions_and_usage def serve_transformations(self, port: int) -> None: diff --git a/sdk/python/feast/ui/package.json b/sdk/python/feast/ui/package.json index 309e9bd9029..0060c6b71b7 100644 --- a/sdk/python/feast/ui/package.json +++ b/sdk/python/feast/ui/package.json @@ -6,7 +6,7 @@ "@elastic/datemath": "^5.0.3", "@elastic/eui": "^57.0.0", "@emotion/react": "^11.9.0", - "@feast-dev/feast-ui": "^0.20.2", + "@feast-dev/feast-ui": "^0.20.3", "@testing-library/jest-dom": "^5.16.4", "@testing-library/react": "^13.2.0", "@testing-library/user-event": "^13.5.0", diff --git a/sdk/python/feast/ui_server.py b/sdk/python/feast/ui_server.py index c71ecd92f94..cc546f53716 100644 --- a/sdk/python/feast/ui_server.py +++ b/sdk/python/feast/ui_server.py @@ -1,4 +1,6 @@ import json +import threading +from typing import Callable, Optional import pkg_resources import uvicorn @@ -9,7 +11,12 @@ import feast -def get_app(store: "feast.FeatureStore", registry_dump: str, project_id: str): +def get_app( + store: "feast.FeatureStore", + get_registry_dump: Callable, + project_id: str, + registry_ttl_secs: int, +): ui_dir = pkg_resources.resource_filename(__name__, "ui/build/") app = FastAPI() @@ -22,9 +29,33 @@ def get_app(store: "feast.FeatureStore", registry_dump: str, project_id: str): allow_headers=["*"], ) + # Asynchronously refresh registry, notifying shutdown and canceling the active timer if the app is shutting down + registry_json = "" + shutting_down = False + active_timer: Optional[threading.Timer] = None + + def async_refresh(): + store.refresh_registry() + nonlocal registry_json + registry_json = get_registry_dump(store.config, store.repo_path) + if shutting_down: + return + nonlocal active_timer + active_timer = threading.Timer(registry_ttl_secs, async_refresh) + active_timer.start() + + @app.on_event("shutdown") + def shutdown_event(): + nonlocal shutting_down + shutting_down = True + if active_timer: + active_timer.cancel() + + async_refresh() + @app.get("/registry") def read_registry(): - return json.loads(registry_dump) + return json.loads(registry_json) # Generate projects-list json that points to the current repo's project # TODO(adchia): Enable users to also add project name + description fields in feature_store.yaml @@ -59,6 +90,13 @@ def catch_all(): return app -def start_server(store: "feast.FeatureStore", registry_dump: str, project_id: str): - app = get_app(store, registry_dump, project_id) - uvicorn.run(app, host="0.0.0.0", port=8888) +def start_server( + store: "feast.FeatureStore", + host: str, + port: int, + get_registry_dump: Callable, + project_id: str, + registry_ttl_sec: int, +): + app = get_app(store, get_registry_dump, project_id, registry_ttl_sec) + uvicorn.run(app, host=host, port=port) diff --git a/ui/package.json b/ui/package.json index 56a83e22ff7..2addb26e9b1 100644 --- a/ui/package.json +++ b/ui/package.json @@ -1,6 +1,6 @@ { "name": "@feast-dev/feast-ui", - "version": "0.20.2", + "version": "0.20.3", "private": false, "files": [ "dist" diff --git a/ui/src/index.tsx b/ui/src/index.tsx index df12722a64c..3a6269a8b78 100644 --- a/ui/src/index.tsx +++ b/ui/src/index.tsx @@ -75,13 +75,6 @@ ReactDOM.render( reactQueryClient={queryClient} feastUIConfigs={{ tabsRegistry: tabsRegistry, - projectListPromise: fetch("http://0.0.0.0:8888/projects-list", { - headers: { - "Content-Type": "application/json", - }, - }).then((res) => { - return res.json(); - }) }} /> , From 0cbc5f230f02dcf91a93efb494c7752376677eec Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Wed, 11 May 2022 21:45:50 -0400 Subject: [PATCH 74/87] docs: Add Web UI documentation and update FAQ / feature retrieval docs (#2675) * docs: Add Web UI documentation Signed-off-by: Danny Chiao * add image Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao --- README.md | 5 +- docs/SUMMARY.md | 2 +- docs/getting-started/concepts/README.md | 2 - .../concepts/feature-retrieval.md | 51 + .../concepts/feature-service.md | 48 - docs/getting-started/faq.md | 45 +- docs/getting-started/quickstart.md | 9 +- docs/reference/alpha-web-ui.md | 136 + docs/reference/offline-stores/postgres.md | 3 +- docs/reference/online-stores/postgres.md | 2 +- docs/reference/ui.png | Bin 0 -> 174770 bytes docs/roadmap.md | 2 +- sdk/python/feast/ui/package-lock.json | 27874 ---------------- sdk/python/feast/ui/yarn.lock | 8 +- ui/README.md | 5 +- 15 files changed, 246 insertions(+), 27946 deletions(-) delete mode 100644 docs/getting-started/concepts/feature-service.md create mode 100644 docs/reference/alpha-web-ui.md create mode 100644 docs/reference/ui.png delete mode 100644 sdk/python/feast/ui/package-lock.json diff --git a/README.md b/README.md index a65cb9ce27a..5905bbd647f 100644 --- a/README.md +++ b/README.md @@ -48,6 +48,9 @@ feast apply ### 4. Explore your data in the web UI (experimental) ![Web UI](ui/sample.png) +```commandline +feast ui +``` ### 5. Build a training dataset ```python @@ -204,7 +207,7 @@ The list below contains the functionality that contributors are planning to deve * [x] CLI for browsing feature registry * [x] Model-centric feature tracking (feature services) * [x] Amundsen integration (see [Feast extractor](https://github.com/amundsen-io/amundsen/blob/main/databuilder/databuilder/extractor/feast_extractor.py)) - * [x] Feast Web UI (alpha) + * [x] Feast Web UI (Alpha release. See [documentation](https://docs.feast.dev/reference/alpha-web-ui.md)) * [ ] REST API for browsing feature registry * [ ] Feature versioning diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index 4012b001e07..f6f12e04d04 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -13,7 +13,6 @@ * [Data source](getting-started/concepts/data-source.md) * [Entity](getting-started/concepts/entity.md) * [Feature view](getting-started/concepts/feature-view.md) - * [Feature service](getting-started/concepts/feature-service.md) * [Feature retrieval](getting-started/concepts/feature-retrieval.md) * [Point-in-time joins](getting-started/concepts/point-in-time-joins.md) * [Dataset](getting-started/concepts/dataset.md) @@ -86,6 +85,7 @@ * [Feature servers](reference/feature-servers/README.md) * [Python feature server](reference/feature-servers/python-feature-server.md) * [Go-based feature retrieval](reference/feature-servers/go-feature-retrieval.md) +* [\[Alpha\] Web UI](reference/alpha-web-ui.md) * [\[Alpha\] Data quality monitoring](reference/dqm.md) * [\[Alpha\] On demand feature view](reference/alpha-on-demand-feature-view.md) * [\[Alpha\] AWS Lambda feature server](reference/alpha-aws-lambda-feature-server.md) diff --git a/docs/getting-started/concepts/README.md b/docs/getting-started/concepts/README.md index 7ad0115a72b..e7b29eb0047 100644 --- a/docs/getting-started/concepts/README.md +++ b/docs/getting-started/concepts/README.md @@ -8,8 +8,6 @@ {% page-ref page="feature-view.md" %} -{% page-ref page="feature-service.md" %} - {% page-ref page="feature-retrieval.md" %} {% page-ref page="point-in-time-joins.md" %} diff --git a/docs/getting-started/concepts/feature-retrieval.md b/docs/getting-started/concepts/feature-retrieval.md index bece0f55271..85b7d9c5b77 100644 --- a/docs/getting-started/concepts/feature-retrieval.md +++ b/docs/getting-started/concepts/feature-retrieval.md @@ -8,8 +8,59 @@ A dataset is a collection of rows that is produced by a historical retrieval fro **Dataset vs Data Source:** Datasets are the output of historical retrieval, whereas data sources are the inputs. One or more data sources can be used in the creation of a dataset. +## Feature Services +A feature service is an object that represents a logical group of features from one or more [feature views](feature-view.md#feature-view). Feature Services allows features from within a feature view to be used as needed by an ML model. Users can expect to create one feature service per model version, allowing for tracking of the features used by models. + +{% tabs %} +{% tab title="driver_trips_feature_service.py" %} +```python +from driver_ratings_feature_view import driver_ratings_fv +from driver_trips_feature_view import driver_stats_fv + +driver_stats_fs = FeatureService( + name="driver_activity", + features=[driver_stats_fv, driver_ratings_fv[["lifetime_rating"]]] +) +``` +{% endtab %} +{% endtabs %} + +Feature services are used during + +* The generation of training datasets when querying feature views in order to find historical feature values. A single training dataset may consist of features from multiple feature views. +* Retrieval of features for batch scoring from the offline store (e.g. with an entity dataframe where all timestamps are `now()`) +* Retrieval of features from the online store for online inference (with smaller batch sizes). The features retrieved from the online store may also belong to multiple feature views. + +{% hint style="info" %} +Applying a feature service does not result in an actual service being deployed. +{% endhint %} + +Feature services enable referencing all or some features from a feature view. + +Retrieving from the online store with a feature service +```python +from feast import FeatureStore +feature_store = FeatureStore('.') # Initialize the feature store + +feature_service = feature_store.get_feature_service("driver_activity") +features = feature_store.get_online_features( + features=feature_service, entity_rows=[entity_dict] +) +``` + +Retrieving from the offline store with a feature service +```python +from feast import FeatureStore +feature_store = FeatureStore('.') # Initialize the feature store + +feature_service = feature_store.get_feature_service("driver_activity") +feature_store.get_historical_features(features=feature_service, entity_df=entity_df) +``` + ## Feature References +This mechanism of retrieving features is only recommended as you're experimenting. Once you want to launch experiments or serve models, feature services are recommended. + Feature references uniquely identify feature values in Feast. The structure of a feature reference in string form is as follows: `:` Feature references are used for the retrieval of features from Feast: diff --git a/docs/getting-started/concepts/feature-service.md b/docs/getting-started/concepts/feature-service.md deleted file mode 100644 index adb4927113f..00000000000 --- a/docs/getting-started/concepts/feature-service.md +++ /dev/null @@ -1,48 +0,0 @@ -# Feature service - -A feature service is an object that represents a logical group of features from one or more [feature views](feature-view.md#feature-view). Feature Services allows features from within a feature view to be used as needed by an ML model. Users can expect to create one feature service per model, allowing for tracking of the features used by models. - -{% tabs %} -{% tab title="driver_trips_feature_service.py" %} -```python -from driver_ratings_feature_view import driver_ratings_fv -from driver_trips_feature_view import driver_stats_fv - -driver_stats_fs = FeatureService( - name="driver_activity", - features=[driver_stats_fv, driver_ratings_fv[["lifetime_rating"]]] -) -``` -{% endtab %} -{% endtabs %} - -Feature services are used during - -* The generation of training datasets when querying feature views in order to find historical feature values. A single training dataset may consist of features from multiple feature views. -* Retrieval of features from the online store. The features retrieved from the online store may also belong to multiple feature views. - -{% hint style="info" %} -Applying a feature service does not result in an actual service being deployed. -{% endhint %} - -Feature services can be retrieved from the feature store, and referenced when retrieving features from the online store. - -```python -from feast import FeatureStore -feature_store = FeatureStore('.') # Initialize the feature store - -feature_service = feature_store.get_feature_service("driver_activity") -features = feature_store.get_online_features( - features=feature_service, entity_rows=[entity_dict] -) -``` - -Feature services can also be used when retrieving historical features from the offline store. - -```python -from feast import FeatureStore -feature_store = FeatureStore('.') # Initialize the feature store - -feature_service = feature_store.get_feature_service("driver_activity") -feature_store.get_historical_features(features=feature_service, entity_df=entity_df) -``` diff --git a/docs/getting-started/faq.md b/docs/getting-started/faq.md index 21bad82312f..b2438fdf7a3 100644 --- a/docs/getting-started/faq.md +++ b/docs/getting-started/faq.md @@ -14,14 +14,15 @@ The [quickstart](quickstart.md) is the easiest way to learn about Feast. For mor ## Concepts -### What is the difference between feature tables and feature views? - -Feature tables from Feast 0.9 have been renamed to feature views in Feast 0.10+. For more details, please see the discussion [here](https://github.com/feast-dev/feast/issues/1583). - ### Do feature views have to include entities? No, there are [feature views without entities](concepts/feature-view.md#feature-views-without-entities). +### How does Feast handle model or feature versioning? +Feast expects that each version of a model corresponds to a different feature service. + +Feature views once they are used by a feature service are intended to be immutable and not deleted (until a feature service is removed). In the future, `feast plan` and `feast apply will throw errors if it sees this kind of behavior. + ### What is the difference between data sources and the offline store? The data source itself defines the underlying data warehouse table in which the features are stored. The offline store interface defines the APIs required to make an arbitrary compute layer work for Feast (e.g. pulling features given a set of feature views from their sources, exporting the data set results to different formats). Please see [data sources](concepts/data-source.md) and [offline store](architecture-and-components/offline-store.md) for more details. @@ -32,13 +33,31 @@ Yes, this is possible. For example, you can use BigQuery as an offline store and ## Functionality +### How do I run `get_historical_features` without providing an entity dataframe? +Feast does not provide a way to do this right now. This is an area we're actively interested in contributions for. See [GitHub issue](https://github.com/feast-dev/feast/issues/1611) + ### Does Feast provide security or access control? Feast currently does not support any access control other than the access control required for the Provider's environment (for example, GCP and AWS permissions). +It is a good idea though to lock down the registry file so only the CI/CD pipeline can modify it. That way data scientists and other users cannot accidentally modify the registry and lose other team's data. + ### Does Feast support streaming sources? -Yes. In earlier versions of Feast, we used Feast Spark to manage ingestion from stream sources. In the current version of Feast, we support [push based ingestion](../reference/data-sources/push.md). +Yes. In earlier versions of Feast, we used Feast Spark to manage ingestion from stream sources. In the current version of Feast, we support [push based ingestion](../reference/data-sources/push.md). Streaming transformations are actively being worked on. + +### Does Feast support feature transformation? + +There are several kinds of transformations: +- On demand transformations (See [docs](../reference/alpha-on-demand-feature-view.md)) + - These transformations are Pandas transformations run on batch data when you call `get_historical_features` and at online serving time when you call `get_online_features. + - Note that if you use push sources to ingest streaming features, these transformations will execute on the fly as well +- Batch transformations (WIP, see [RFC](https://docs.google.com/document/d/1964OkzuBljifDvkV-0fakp2uaijnVzdwWNGdz7Vz50A/edit#)) + - These will include SQL + PySpark based transformations on batch data sources. +- Streaming transformations (RFC in progress) + +### Does Feast have a Web UI? +Yes. See [documentation](../reference/alpha-web-ui.md). ### Does Feast support composite keys? @@ -50,7 +69,7 @@ Please see a detailed comparison of Feast vs. Tecton [here](https://www.tecton.a ### What are the performance/latency characteristics of Feast? -Feast is designed to work at scale and support low latency online serving. Benchmarks ([RFC](https://docs.google.com/document/d/12UuvTQnTTCJhdRgy6h10zSbInNGSyEJkIxpOcgOen1I/edit)) will be released soon, and active work is underway to support very latency sensitive use cases. +Feast is designed to work at scale and support low latency online serving. See our [benchmark blog post](https://feast.dev/blog/feast-benchmarks/) for details. ### Does Feast support embeddings and list features? @@ -77,7 +96,7 @@ Please follow the instructions [here](../how-to-guides/adding-support-for-a-new- ### Can the same storage engine be used for both the offline and online store? -Yes. For example, the Postgres [connector](https://github.com/nossrannug/feast-postgres) can be used as both an offline and online store. +Yes. For example, the Postgres connector can be used as both an offline and online store (as well as the registry). ### Does Feast support S3 as a data source? @@ -88,7 +107,7 @@ Yes. There are two ways to use S3 in Feast: ### How can I use Spark with Feast? -Feast does not support Spark natively. However, you can create a [custom provider](../how-to-guides/creating-a-custom-provider.md) that will support Spark, which can help with more scalable materialization and ingestion. +Feast supports ingestion via Spark (See ) does not support Spark natively. However, you can create a [custom provider](../how-to-guides/creating-a-custom-provider.md) that will support Spark, which can help with more scalable materialization and ingestion. ### Is Feast planning on supporting X functionality? @@ -96,6 +115,13 @@ Please see the [roadmap](../roadmap.md). ## Project +### How do I contribute to Feast? + +For more details on contributing to the Feast community, see [here](../community.md) and this [here](../project/contributing.md). + + +## Feast 0.9 (legacy) + ### What is the difference between Feast 0.9 and Feast 0.10+? Feast 0.10+ is much lighter weight and more extensible than Feast 0.9. It is designed to be simple to install and use. Please see this [document](https://docs.google.com/document/d/1AOsr\_baczuARjCpmZgVd8mCqTF4AZ49OEyU4Cn-uTT0) for more details. @@ -104,9 +130,6 @@ Feast 0.10+ is much lighter weight and more extensible than Feast 0.9. It is des Please see this [document](https://docs.google.com/document/d/1AOsr\_baczuARjCpmZgVd8mCqTF4AZ49OEyU4Cn-uTT0). If you have any questions or suggestions, feel free to leave a comment on the document! -### How do I contribute to Feast? - -For more details on contributing to the Feast community, see [here](../community.md) and this [here](../project/contributing.md). ### What are the plans for Feast Core, Feast Serving, and Feast Spark? diff --git a/docs/getting-started/quickstart.md b/docs/getting-started/quickstart.md index f2446b4c1c6..41449b77e39 100644 --- a/docs/getting-started/quickstart.md +++ b/docs/getting-started/quickstart.md @@ -365,7 +365,7 @@ pprint(feature_vector) {% endtab %} {% endtabs %} -## Step 7: Using a featureservice to fetch online features instead. +## Step 7: Using a feature service to fetch online features instead. You can also use feature services to manage multiple features, and decouple feature view definitions and the features needed by end applications. The feature store can also be used to fetch either online or historical features using the same api below. More information can be found [here](https://docs.feast.dev/getting-started/concepts/feature-service). @@ -399,6 +399,13 @@ features = feature_store.get_online_features( {% endtab %} {% endtabs %} +## Step 8: Browse your features with the Web UI (experimental) + +View all registered features, data sources, entities, and feature services with the Web UI. + +One of the ways to view this is with the `feast ui` command. + +![](../reference/ui.png) ## Next steps diff --git a/docs/reference/alpha-web-ui.md b/docs/reference/alpha-web-ui.md new file mode 100644 index 00000000000..182f9fb13df --- /dev/null +++ b/docs/reference/alpha-web-ui.md @@ -0,0 +1,136 @@ +# \[Alpha\] Feast Web UI + +**Warning**: This is an _experimental_ feature. It's intended for early testing and feedback, and could change without warnings in future releases. + +## Overview + +The Feast Web UI allows users to explore their feature repository through a Web UI. It includes functionality such as: +- Browsing Feast objects (feature views, entities, data sources, feature services, and saved datasets) and their relationships +- Searching and filtering for Feast objects by tags + +![Sample UI](ui.png) + +## Usage + +There are several ways to use the Feast Web UI. + +### Feast CLI + +The easiest way to get started is to run the `feast ui` command within a feature repository: + +Output of `feast ui --help`: +```bash +Usage: feast ui [OPTIONS] + +Shows the Feast UI over the current directory + +Options: +-h, --host TEXT Specify a host for the server [default: 0.0.0.0] +-p, --port INTEGER Specify a port for the server [default: 8888] +-r, --registry_ttl_sec INTEGER Number of seconds after which the registry is refreshed. Default is 5 seconds. +--help Show this message and exit. +``` + +This will spin up a Web UI on localhost which automatically refreshes its view of the registry every `registry_ttl_sec` + +### Importing as a module to integrate with an existing React App + +This is the recommended way to use Feast UI for teams maintaining their own internal UI for their deployment of Feast. + +Start with bootstrapping a React app with `create-react-app` + +``` +npx create-react-app your-feast-ui +``` + +Then, in your app folder, install Feast UI and its peer dependencies. Assuming you use yarn + +``` +yarn add @feast-dev/feast-ui +yarn add @elastic/eui @elastic/datemath @emotion/react moment prop-types inter-ui react-query react-router-dom use-query-params zod typescript query-string d3 @types/d3 +``` + +Edit `index.js` in the React app to use Feast UI. + +```js +import React from "react"; +import ReactDOM from "react-dom"; +import "./index.css"; + +import FeastUI from "@feast-dev/feast-ui"; +import "@feast-dev/feast-ui/dist/feast-ui.css"; + +ReactDOM.render( + + + , + document.getElementById("root") +); +``` + +When you start the React app, it will look for `project-list.json` to find a list of your projects. The JSON should looks something like this. + +```json +{ + "projects": [ + { + "name": "Credit Score Project", + "description": "Project for credit scoring team and associated models.", + "id": "credit_score_project", + "registryPath": "/registry.json" + } + ] +} +``` + +Then start the React App +```bash +yarn start +``` + +#### Customization + +The advantage of importing Feast UI as a module is in the ease of customization. The `` component exposes a `feastUIConfigs` prop thorough which you can customize the UI. Currently it supports a few parameters. + +##### Fetching the Project List + +You can use `projectListPromise` to provide a promise that overrides where the Feast UI fetches the project list from. + +```jsx + { + return res.json(); + }) + }} +/> +``` + +##### Custom Tabs + +You can add custom tabs for any of the core Feast objects through the `tabsRegistry`. + +``` +const tabsRegistry = { + RegularFeatureViewCustomTabs: [ + { + label: "Custom Tab Demo", // Navigation Label for the tab + path: "demo-tab", // Subpath for the tab + Component: RFVDemoCustomTab, // a React Component + }, + ] +} + + +``` + +Examples of custom tabs can be found in the `ui/custom-tabs` folder. + diff --git a/docs/reference/offline-stores/postgres.md b/docs/reference/offline-stores/postgres.md index 7d04ac5843a..9bd472673af 100644 --- a/docs/reference/offline-stores/postgres.md +++ b/docs/reference/offline-stores/postgres.md @@ -8,10 +8,11 @@ The PostgreSQL offline store is an offline store that provides support for readi **DISCLAIMER**: This PostgreSQL offline store still does not achieve full test coverage. * Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. Pandas dataframes will be converted to a Spark dataframe and processed as a temporary view. -* A `SparkRetrievalJob` is returned when calling `get_historical_features()`. +* A `PostgreSQLRetrievalJob` is returned when calling `get_historical_features()`. * This allows you to call * `to_df` to retrieve the pandas dataframe. * `to_arrow` to retrieve the dataframe as a PyArrow table. + * `to_sql` to get the SQL query used to pull the features. * sslmode, sslkey_path, sslcert_path, and sslrootcert_path are optional diff --git a/docs/reference/online-stores/postgres.md b/docs/reference/online-stores/postgres.md index 3e507c70fc7..7d24079da9d 100644 --- a/docs/reference/online-stores/postgres.md +++ b/docs/reference/online-stores/postgres.md @@ -30,4 +30,4 @@ online_store: ``` {% endcode %} -Configuration options are available [here](https://rtd.feast.dev/en/latest/#feast.repo_config.SqliteOnlineStoreConfig). +Configuration options are available 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extractor](https://github.com/amundsen-io/amundsen/blob/main/databuilder/databuilder/extractor/feast_extractor.py)) - * [x] Feast Web UI (alpha) + * [x] Feast Web UI (Alpha release. See [documentation](https://docs.feast.dev/reference/alpha-web-ui.md)) * [ ] REST API for browsing feature registry * [ ] Feature versioning diff --git a/sdk/python/feast/ui/package-lock.json b/sdk/python/feast/ui/package-lock.json deleted file mode 100644 index d22a26a7b2d..00000000000 --- a/sdk/python/feast/ui/package-lock.json +++ /dev/null @@ -1,27874 +0,0 @@ -{ - "name": "example-feast-ui", - "version": "0.1.0", - "lockfileVersion": 2, - "requires": true, - "packages": { - "": { - "name": "example-feast-ui", - "version": "0.1.0", - "dependencies": { - "@testing-library/jest-dom": "^5.16.4", - "@testing-library/react": "^13.2.0", - "@testing-library/user-event": "^13.5.0", - "react": "^18.1.0", - "react-dom": "^18.1.0", - "react-scripts": "5.0.1", - "web-vitals": "^2.1.4" - } - }, - "node_modules/@ampproject/remapping": { - "version": "2.2.0", - "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.0.tgz", - "integrity": "sha512-qRmjj8nj9qmLTQXXmaR1cck3UXSRMPrbsLJAasZpF+t3riI71BXed5ebIOYwQntykeZuhjsdweEc9BxH5Jc26w==", - 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version "0.20.2" - resolved "https://registry.yarnpkg.com/@feast-dev/feast-ui/-/feast-ui-0.20.2.tgz#7af94f99f995bf6c0625ca504307fa2630f509e9" - integrity sha512-K5O5uTEkTtW3uuoI49YsZAutdv38T/psWygNcNpQ9UWMrlQCfHjMU0gTSPJpakVVIFoWRvn8C3Q4HN8tLB6ZAg== +"@feast-dev/feast-ui@^0.20.3": + version "0.20.3" + resolved "https://registry.yarnpkg.com/@feast-dev/feast-ui/-/feast-ui-0.20.3.tgz#809e77c516e0c2278cd972ee65b9ff86ac148440" + integrity sha512-9r5wxiH0lKAiE8WjgYk9hybpsIhAkqEdoXOOoEP2t/6wK6yMz5F92EKtWPID5rOnuobeWHEVjy19DU/cuwLWvQ== dependencies: "@elastic/datemath" "^5.0.3" "@elastic/eui" "^55.0.1" diff --git a/ui/README.md b/ui/README.md index f7c1ddadec1..713d1c17c5c 100644 --- a/ui/README.md +++ b/ui/README.md @@ -18,7 +18,10 @@ data to the UI. ## Usage -There are two modes of usage: importing the UI as a module, or running the entire build as a React app. +There are three modes of usage: +- via the 'feast ui' CLI to view the current feature repository +- importing the UI as a module +- running the entire build as a React app. ### Importing the UI as a module From 32c38aad3f779666d5ebf5e2b2d266ca3fbda8ad Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Wed, 11 May 2022 23:54:31 -0700 Subject: [PATCH 75/87] chore: Backward compatibility for test repo configurations (#2671) * backward compatibility for all test repo configurations Signed-off-by: Oleksii Moskalenko * format Signed-off-by: Oleksii Moskalenko * fix arguments order Signed-off-by: Oleksii Moskalenko --- .../feature_repos/repo_configuration.py | 32 ++++++++++++++++--- 1 file changed, 28 insertions(+), 4 deletions(-) diff --git a/sdk/python/tests/integration/feature_repos/repo_configuration.py b/sdk/python/tests/integration/feature_repos/repo_configuration.py index a4f740c7349..27cf1a52e9d 100644 --- a/sdk/python/tests/integration/feature_repos/repo_configuration.py +++ b/sdk/python/tests/integration/feature_repos/repo_configuration.py @@ -101,13 +101,37 @@ if full_repo_configs_module is not None: try: module = importlib.import_module(full_repo_configs_module) - AVAILABLE_ONLINE_STORES = getattr(module, "AVAILABLE_ONLINE_STORES") - AVAILABLE_OFFLINE_STORES = getattr(module, "AVAILABLE_OFFLINE_STORES") - except Exception as e: + except ImportError as e: raise FeastModuleImportError( - "FULL_REPO_CONFIGS", full_repo_configs_module + full_repo_configs_module, "FULL_REPO_CONFIGS" ) from e + try: + AVAILABLE_ONLINE_STORES = getattr(module, "AVAILABLE_ONLINE_STORES") + AVAILABLE_OFFLINE_STORES = getattr(module, "AVAILABLE_OFFLINE_STORES") + except AttributeError: + try: + FULL_REPO_CONFIGS: List[IntegrationTestRepoConfig] = getattr( + module, "FULL_REPO_CONFIGS" + ) + except AttributeError as e: + raise FeastModuleImportError( + full_repo_configs_module, "FULL_REPO_CONFIGS" + ) from e + + AVAILABLE_OFFLINE_STORES = [ + (config.provider, config.offline_store_creator) + for config in FULL_REPO_CONFIGS + ] + AVAILABLE_OFFLINE_STORES = list(set(AVAILABLE_OFFLINE_STORES)) # unique only + + AVAILABLE_ONLINE_STORES = { + c.online_store["type"] + if isinstance(c.online_store, dict) + else c.online_store: (c.online_store, c.online_store_creator) + for c in FULL_REPO_CONFIGS + } + if os.getenv("FEAST_LOCAL_ONLINE_CONTAINER", "False").lower() == "true": replacements: Dict[ From d3e01bc74da9f4678d3cf384afd4616a299f32fd Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Thu, 12 May 2022 10:03:16 -0700 Subject: [PATCH 76/87] fix: Pin pip<22.1 to get around breaking change in pip==22.1 (#2678) Signed-off-by: Achal Shah --- .github/workflows/linter.yml | 4 ++-- .github/workflows/master_only.yml | 2 +- .github/workflows/pr_integration_tests.yml | 2 +- .github/workflows/unit_tests.yml | 4 ++-- README.md | 3 --- 5 files changed, 6 insertions(+), 9 deletions(-) diff --git a/.github/workflows/linter.yml b/.github/workflows/linter.yml index 971282966c5..b57126ca6c1 100644 --- a/.github/workflows/linter.yml +++ b/.github/workflows/linter.yml @@ -22,7 +22,7 @@ jobs: go-version: 1.17.7 - name: Upgrade pip version run: | - pip install --upgrade "pip>=21.3.1" + pip install --upgrade "pip>=21.3.1,<22.1" - name: Get pip cache dir id: pip-cache run: | @@ -62,7 +62,7 @@ jobs: python-version: "3.7" - name: Upgrade pip version run: | - pip install --upgrade "pip>=21.3.1" + pip install --upgrade "pip>=21.3.1,<22.1" - name: Install dependencies run: make install-go-proto-dependencies - name: Lint go diff --git a/.github/workflows/master_only.yml b/.github/workflows/master_only.yml index 5546686b247..2042987617b 100644 --- a/.github/workflows/master_only.yml +++ b/.github/workflows/master_only.yml @@ -107,7 +107,7 @@ jobs: run: aws sts get-caller-identity - name: Upgrade pip version run: | - pip install --upgrade "pip>=21.3.1" + pip install --upgrade "pip>=21.3.1,<22.1" - name: Get pip cache dir id: pip-cache run: | diff --git a/.github/workflows/pr_integration_tests.yml b/.github/workflows/pr_integration_tests.yml index d412d684416..089d9f47336 100644 --- a/.github/workflows/pr_integration_tests.yml +++ b/.github/workflows/pr_integration_tests.yml @@ -133,7 +133,7 @@ jobs: run: aws sts get-caller-identity - name: Upgrade pip version run: | - pip install --upgrade "pip>=21.3.1" + pip install --upgrade "pip>=21.3.1,<22.1" - name: Get pip cache dir id: pip-cache run: | diff --git a/.github/workflows/unit_tests.yml b/.github/workflows/unit_tests.yml index 8f37e2e2a36..9bc4c654bfe 100644 --- a/.github/workflows/unit_tests.yml +++ b/.github/workflows/unit_tests.yml @@ -27,7 +27,7 @@ jobs: go-version: 1.17.7 - name: Upgrade pip version run: | - pip install --upgrade "pip>=21.3.1" + pip install --upgrade "pip>=21.3.1,<22.1" - name: Get pip cache dir id: pip-cache run: | @@ -75,7 +75,7 @@ jobs: python-version: "3.7" - name: Upgrade pip version run: | - pip install --upgrade "pip>=21.3.1" + pip install --upgrade "pip>=21.3.1,<22.1" - name: Setup Go id: setup-go uses: actions/setup-go@v2 diff --git a/README.md b/README.md index 5905bbd647f..a72a8392727 100644 --- a/README.md +++ b/README.md @@ -48,9 +48,6 @@ feast apply ### 4. Explore your data in the web UI (experimental) ![Web UI](ui/sample.png) -```commandline -feast ui -``` ### 5. Build a training dataset ```python From 8cbf51ca2ba3f672b6dc0e820ac18d4608220abf Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Thu, 12 May 2022 10:55:33 -0700 Subject: [PATCH 77/87] fix: Remove incorrect call to logging.basicConfig (#2676) Signed-off-by: Achal Shah --- sdk/python/feast/__init__.py | 8 -------- 1 file changed, 8 deletions(-) diff --git a/sdk/python/feast/__init__.py b/sdk/python/feast/__init__.py index 62cc52215c9..18b0f4ee242 100644 --- a/sdk/python/feast/__init__.py +++ b/sdk/python/feast/__init__.py @@ -1,5 +1,3 @@ -import logging - from pkg_resources import DistributionNotFound, get_distribution from feast.infra.offline_stores.bigquery_source import BigQuerySource @@ -27,12 +25,6 @@ from .stream_feature_view import StreamFeatureView from .value_type import ValueType -logging.basicConfig( - format="%(asctime)s %(levelname)s:%(message)s", - datefmt="%m/%d/%Y %I:%M:%S %p", - level=logging.INFO, -) - try: __version__ = get_distribution(__name__).version except DistributionNotFound: From 01f9f0a4c79e5d0a1e2433b2e39d56aa7a2121b6 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Thu, 12 May 2022 14:08:41 -0400 Subject: [PATCH 78/87] chore: Fix README template to include Web UI command (#2679) * chore: Fix README tempalte to include Web UI command Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao --- README.md | 3 +++ infra/templates/README.md.jinja2 | 3 +++ 2 files changed, 6 insertions(+) diff --git a/README.md b/README.md index a72a8392727..5905bbd647f 100644 --- a/README.md +++ b/README.md @@ -48,6 +48,9 @@ feast apply ### 4. Explore your data in the web UI (experimental) ![Web UI](ui/sample.png) +```commandline +feast ui +``` ### 5. Build a training dataset ```python diff --git a/infra/templates/README.md.jinja2 b/infra/templates/README.md.jinja2 index 9d3b5649ce9..cd6e42c1d1b 100644 --- a/infra/templates/README.md.jinja2 +++ b/infra/templates/README.md.jinja2 @@ -46,6 +46,9 @@ feast apply ### 4. Explore your data in the web UI (experimental) ![Web UI](ui/sample.png) +```commandline +feast ui +``` ### 5. Build a training dataset ```python From 2ce33cdd5e0a6a855e60c067aadafddf10ea2359 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Thu, 12 May 2022 16:17:40 -0400 Subject: [PATCH 79/87] fix: Forcing ODFV udfs to be __main__ module and fixing false positive duplicate data source warning (#2677) * fix: Forcing ODFV udfs to be __main__ module so clients don't need the udf's module. Fixing duplicate data source conflict between push source and batch source Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao --- sdk/python/feast/on_demand_feature_view.py | 7 +++++++ sdk/python/feast/repo_operations.py | 7 ++++++- 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/sdk/python/feast/on_demand_feature_view.py b/sdk/python/feast/on_demand_feature_view.py index 244000c6ded..1cddc0b8814 100644 --- a/sdk/python/feast/on_demand_feature_view.py +++ b/sdk/python/feast/on_demand_feature_view.py @@ -628,7 +628,14 @@ def on_demand_feature_view( if not _sources: raise ValueError("The `sources` parameter must be specified.") + def mainify(obj): + # Needed to allow dill to properly serialize the udf. Otherwise, clients will need to have a file with the same + # name as the original file defining the ODFV. + if obj.__module__ != "__main__": + obj.__module__ = "__main__" + def decorator(user_function): + mainify(user_function) on_demand_feature_view_obj = OnDemandFeatureView( name=user_function.__name__, sources=_sources, diff --git a/sdk/python/feast/repo_operations.py b/sdk/python/feast/repo_operations.py index 261e501a876..0e82fdf47ad 100644 --- a/sdk/python/feast/repo_operations.py +++ b/sdk/python/feast/repo_operations.py @@ -110,6 +110,7 @@ def parse_repo(repo_root: Path) -> RepoContents: request_feature_views=[], ) + data_sources_set = set() for repo_file in get_repo_files(repo_root): module_path = py_path_to_module(repo_file) module = importlib.import_module(module_path) @@ -119,6 +120,7 @@ def parse_repo(repo_root: Path) -> RepoContents: (obj is ds) for ds in res.data_sources ): res.data_sources.append(obj) + data_sources_set.add(obj) if isinstance(obj, FeatureView) and not any( (obj is fv) for fv in res.feature_views ): @@ -126,7 +128,10 @@ def parse_repo(repo_root: Path) -> RepoContents: if isinstance(obj.stream_source, PushSource) and not any( (obj is ds) for ds in res.data_sources ): - res.data_sources.append(obj.stream_source.batch_source) + push_source_dep = obj.stream_source.batch_source + # Don't add if the push source's batch source is a duplicate of an existing batch source + if push_source_dep not in data_sources_set: + res.data_sources.append(push_source_dep) elif isinstance(obj, Entity) and not any( (obj is entity) for entity in res.entities ): From c90e845262d908c95d20d2a0bb895cd3f3a40422 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Thu, 12 May 2022 13:35:40 -0700 Subject: [PATCH 80/87] ci: Run fewer macOS unit tests (#2680) * ci: Run fewer macOS unit tests Signed-off-by: Achal Shah * fixup Signed-off-by: Achal Shah * fixup Signed-off-by: Achal Shah * fixup Signed-off-by: Achal Shah --- .github/workflows/unit_tests.yml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/.github/workflows/unit_tests.yml b/.github/workflows/unit_tests.yml index 9bc4c654bfe..3573fe26568 100644 --- a/.github/workflows/unit_tests.yml +++ b/.github/workflows/unit_tests.yml @@ -9,6 +9,13 @@ jobs: matrix: python-version: [ "3.7", "3.8", "3.9", "3.10" ] os: [ ubuntu-latest, macOS-latest] + exclude: + - os: macOS-latest + python-version: "3.8" + - os: macOS-latest + python-version: "3.9" + - os: macOS-latest + python-version: "3.10" env: OS: ${{ matrix.os }} PYTHON: ${{ matrix.python-version }} From 0384f5f78765a3d43534919428c4cc4744a101f2 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Thu, 12 May 2022 21:21:40 -0700 Subject: [PATCH 81/87] fix: Include the ui/build directory, and remove package data (#2681) Signed-off-by: Achal Shah --- MANIFEST.in | 4 +++- sdk/python/MANIFEST.in | 4 ---- setup.py | 9 --------- 3 files changed, 3 insertions(+), 14 deletions(-) delete mode 100644 sdk/python/MANIFEST.in diff --git a/MANIFEST.in b/MANIFEST.in index 55e7aac3ec8..92286e54ece 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -3,4 +3,6 @@ prune ui prune java/ prune docs prune infra -prune examples \ No newline at end of file +prune examples + +graft sdk/python/feast/ui/build \ No newline at end of file diff --git a/sdk/python/MANIFEST.in b/sdk/python/MANIFEST.in deleted file mode 100644 index 0eeaa181b23..00000000000 --- a/sdk/python/MANIFEST.in +++ /dev/null @@ -1,4 +0,0 @@ -recursive-include feast/protos/ *.py -recursive-include feast py.typed *.pyi - -recursive-include feast/embedded_go/lib/ *.py *.so diff --git a/setup.py b/setup.py index 51da943a922..64ea5f0717f 100644 --- a/setup.py +++ b/setup.py @@ -481,15 +481,6 @@ def copy_extensions_to_source(self): "mypy-protobuf==3.1", "sphinx!=4.0.0", ], - package_data={ - "": [ - "sdk/python/**/*.proto", - "sdk/python/**/*.py", - "protos/**/*.proto", - "sdk/python/ui/build/*", - "sdk/python/ui/build/**/*", - ], - }, cmdclass={ "build_python_protos": BuildPythonProtosCommand, "build_go_protos": BuildGoProtosCommand, From 01d3568168bb9febb9fbda4988283b3886c32a31 Mon Sep 17 00:00:00 2001 From: Danny Chiao Date: Fri, 13 May 2022 01:14:01 -0400 Subject: [PATCH 82/87] fix: Fix case where on demand feature view tab is broken if no custom tabs are passed. (#2682) * fix: Fix case where on demand feature view tab is broken if no custom tabs are passed. Also allow projectListPromise to be passed without a tabs registry Signed-off-by: Danny Chiao * fix Signed-off-by: Danny Chiao --- sdk/python/feast/ui/package.json | 2 +- sdk/python/feast/ui/yarn.lock | 8 ++++---- ui/package.json | 2 +- ui/src/FeastUISansProviders.tsx | 2 +- ui/src/custom-tabs/TabsRegistryContext.tsx | 4 +++- 5 files changed, 10 insertions(+), 8 deletions(-) diff --git a/sdk/python/feast/ui/package.json b/sdk/python/feast/ui/package.json index 0060c6b71b7..556637aaae2 100644 --- a/sdk/python/feast/ui/package.json +++ b/sdk/python/feast/ui/package.json @@ -6,7 +6,7 @@ "@elastic/datemath": "^5.0.3", "@elastic/eui": "^57.0.0", "@emotion/react": "^11.9.0", - "@feast-dev/feast-ui": "^0.20.3", + "@feast-dev/feast-ui": "^0.20.4", "@testing-library/jest-dom": "^5.16.4", "@testing-library/react": "^13.2.0", "@testing-library/user-event": "^13.5.0", diff --git a/sdk/python/feast/ui/yarn.lock b/sdk/python/feast/ui/yarn.lock index eee2a3db7ee..f6301957c82 100644 --- a/sdk/python/feast/ui/yarn.lock +++ b/sdk/python/feast/ui/yarn.lock @@ -1345,10 +1345,10 @@ minimatch "^3.1.2" strip-json-comments "^3.1.1" -"@feast-dev/feast-ui@^0.20.3": - version "0.20.3" - resolved "https://registry.yarnpkg.com/@feast-dev/feast-ui/-/feast-ui-0.20.3.tgz#809e77c516e0c2278cd972ee65b9ff86ac148440" - integrity sha512-9r5wxiH0lKAiE8WjgYk9hybpsIhAkqEdoXOOoEP2t/6wK6yMz5F92EKtWPID5rOnuobeWHEVjy19DU/cuwLWvQ== +"@feast-dev/feast-ui@^0.20.4": + version "0.20.4" + resolved "https://registry.yarnpkg.com/@feast-dev/feast-ui/-/feast-ui-0.20.4.tgz#4b918f8922f3eecd9e3e7323f25ba9cac78a4567" + integrity sha512-KTUhKni7t++G6UwXyPbGWXwWHnTOVTH8ouYCoHXbGorgRL3K4fbq5tCSCJzP9L5FAo+cF1AjVZNRgwzPe6vAgA== dependencies: "@elastic/datemath" "^5.0.3" "@elastic/eui" "^55.0.1" diff --git a/ui/package.json b/ui/package.json index 2addb26e9b1..252faf8613d 100644 --- a/ui/package.json +++ b/ui/package.json @@ -1,6 +1,6 @@ { "name": "@feast-dev/feast-ui", - "version": "0.20.3", + "version": "0.20.4", "private": false, "files": [ "dist" diff --git a/ui/src/FeastUISansProviders.tsx b/ui/src/FeastUISansProviders.tsx index a6df45b86df..628068f0f00 100644 --- a/ui/src/FeastUISansProviders.tsx +++ b/ui/src/FeastUISansProviders.tsx @@ -34,7 +34,7 @@ import { } from "./contexts/ProjectListContext"; interface FeastUIConfigs { - tabsRegistry: FeastTabsRegistryInterface; + tabsRegistry?: FeastTabsRegistryInterface; featureFlags?: FeatureFlags; projectListPromise?: Promise; } diff --git a/ui/src/custom-tabs/TabsRegistryContext.tsx b/ui/src/custom-tabs/TabsRegistryContext.tsx index 8ad58d7a16f..a5321e9c40b 100644 --- a/ui/src/custom-tabs/TabsRegistryContext.tsx +++ b/ui/src/custom-tabs/TabsRegistryContext.tsx @@ -72,10 +72,12 @@ const useGenericCustomTabsNavigation = < const { pathname } = useLocation(); // Current Location useEffect(() => { + if (entries.length === 0) { + return; + } setTabs( entries.map(({ label, path }) => { const resolvedTabPath = resolvePath(path, featureViewRoot.pathname); - return { label, // Can't use the match hooks here b/c we're in a loop due From 7c69f1c1e637e413c918a14beb42bd88e8a06960 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Fri, 13 May 2022 13:56:50 -0700 Subject: [PATCH 83/87] chore: Assorted updates to feast packaging (#2683) * chore: Assorted updates to feast packaging Signed-off-by: Achal Shah * fixup Signed-off-by: Achal Shah * fixup Signed-off-by: Achal Shah * fixup for dockerfile Signed-off-by: Achal Shah * fixup for dockerfile Signed-off-by: Achal Shah * fixup for dockerfile Signed-off-by: Achal Shah --- .pre-commit-config.yaml | 5 ++++- MANIFEST.in | 2 +- pyproject.toml | 9 ++++++++- sdk/python/feast/__init__.py | 10 +++++++--- .../feast/infra/feature_servers/aws_lambda/Dockerfile | 8 +++++--- sdk/python/feast/version.py | 9 ++++++--- 6 files changed, 31 insertions(+), 12 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 82721e21e30..f46f2af604f 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -8,13 +8,16 @@ repos: stages: [ push ] language: system entry: make format + pass_filenames: false - id: lint name: Lint stages: [ push ] language: system entry: make lint + pass_filenames: false - id: template name: Build Templates stages: [ commit ] language: system - entry: make build-templates \ No newline at end of file + entry: make build-templates + pass_filenames: false \ No newline at end of file diff --git a/MANIFEST.in b/MANIFEST.in index 92286e54ece..96f7c38c8a5 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -5,4 +5,4 @@ prune docs prune infra prune examples -graft sdk/python/feast/ui/build \ No newline at end of file +graft sdk/python/feast/ui/build diff --git a/pyproject.toml b/pyproject.toml index 93727dc5689..64394a558a6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,13 @@ +[build-system] +requires = ["setuptools>=60", "wheel", "setuptools_scm>=6.2", "grpcio", "grpcio-tools==1.44.0", "mypy-protobuf==3.1", "sphinx!=4.0.0"] +build-backend = "setuptools.build_meta" + +[tool.setuptools_scm] +# Including this section is comparable to supplying use_scm_version=True in setup.py. + [tool.black] line-length = 88 -target-version = ['py37'] +target-version = ['py38'] include = '\.pyi?$' exclude = ''' ( diff --git a/sdk/python/feast/__init__.py b/sdk/python/feast/__init__.py index 18b0f4ee242..8461cf31b62 100644 --- a/sdk/python/feast/__init__.py +++ b/sdk/python/feast/__init__.py @@ -1,4 +1,8 @@ -from pkg_resources import DistributionNotFound, get_distribution +try: + from importlib.metadata import PackageNotFoundError + from importlib.metadata import version as _version +except ModuleNotFoundError: + from importlib_metadata import PackageNotFoundError, version as _version # type: ignore from feast.infra.offline_stores.bigquery_source import BigQuerySource from feast.infra.offline_stores.file_source import FileSource @@ -26,8 +30,8 @@ from .value_type import ValueType try: - __version__ = get_distribution(__name__).version -except DistributionNotFound: + __version__ = _version("feast") +except PackageNotFoundError: # package is not installed pass diff --git a/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile b/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile index cf86218d584..fe997afcae4 100644 --- a/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile +++ b/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile @@ -12,9 +12,11 @@ COPY pyproject.toml pyproject.toml COPY README.md README.md # Install Feast for AWS with Lambda dependencies -# TODO(felixwang9817): Remove Snowflake dependencies once lazy loading of offline stores is supported. -# See https://github.com/feast-dev/feast/issues/2566 for more details. -RUN pip3 install -e '.[aws,redis,snowflake]' +# We need this mount thingy because setuptools_scm needs access to the +# git dir to infer the version of feast we're installing. +# https://github.com/pypa/setuptools_scm#usage-from-docker +# I think it also assumes that this dockerfile is being built from the root of the directory. +RUN SETUPTOOLS_SCM_PRETEND_VERSION=1 pip3 install --no-cache-dir -e '.[aws,redis]' RUN pip3 install -r sdk/python/feast/infra/feature_servers/aws_lambda/requirements.txt --target "${LAMBDA_TASK_ROOT}" # Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile) diff --git a/sdk/python/feast/version.py b/sdk/python/feast/version.py index cc5190e3392..3e42643ccbe 100644 --- a/sdk/python/feast/version.py +++ b/sdk/python/feast/version.py @@ -1,10 +1,13 @@ -import pkg_resources +try: + from importlib.metadata import PackageNotFoundError, version +except ModuleNotFoundError: + from importlib_metadata import PackageNotFoundError, version # type: ignore def get_version(): """Returns version information of the Feast Python Package.""" try: - sdk_version = pkg_resources.get_distribution("feast").version - except pkg_resources.DistributionNotFound: + sdk_version = version("feast") + except PackageNotFoundError: sdk_version = "unknown" return sdk_version From 4f85e3e6b3bb5ca92595aed28db68ada58abbb75 Mon Sep 17 00:00:00 2001 From: dvanbrug Date: Fri, 13 May 2022 17:10:48 -0400 Subject: [PATCH 84/87] fix: Use ParquetDataset for Schema Inference (#2686) Updates to use ParquetDataset instead of ParquetFile to do schema inference. This supports both single files and directories of partitioned parquet datasets. Signed-off-by: Dirk Van Bruggen --- sdk/python/feast/infra/offline_stores/file_source.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/sdk/python/feast/infra/offline_stores/file_source.py b/sdk/python/feast/infra/offline_stores/file_source.py index 8b4b08bb87f..5c2a521ac0d 100644 --- a/sdk/python/feast/infra/offline_stores/file_source.py +++ b/sdk/python/feast/infra/offline_stores/file_source.py @@ -3,7 +3,7 @@ from pyarrow._fs import FileSystem from pyarrow._s3fs import S3FileSystem -from pyarrow.parquet import ParquetFile +from pyarrow.parquet import ParquetDataset from feast import type_map from feast.data_format import FileFormat, ParquetFormat @@ -179,9 +179,9 @@ def get_table_column_names_and_types( filesystem, path = FileSource.create_filesystem_and_path( self.path, self.file_options.s3_endpoint_override ) - schema = ParquetFile( + schema = ParquetDataset( path if filesystem is None else filesystem.open_input_file(path) - ).schema_arrow + ).schema.to_arrow_schema() return zip(schema.names, map(str, schema.types)) @staticmethod From bcdce324cbc364e6c9ee3bf6c44c059ebd463361 Mon Sep 17 00:00:00 2001 From: Oleksii Moskalenko Date: Fri, 13 May 2022 14:19:46 -0700 Subject: [PATCH 85/87] chore: Test all wheels for basic functionality before publishing to pypi (#2687) * verify python wheel before publish Signed-off-by: Oleksii Moskalenko * revert debug Signed-off-by: Oleksii Moskalenko --- .github/workflows/publish.yml | 65 ++++++++++++++-- setup.py | 135 +++++++++++++++++++--------------- 2 files changed, 135 insertions(+), 65 deletions(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 62720a23630..dad6eddc862 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -140,23 +140,71 @@ jobs: verify-python-wheel: - runs-on: ubuntu-latest + runs-on: ${{ matrix.os }} needs: [build-python-sdk, build-python-sdk-macos-py310] + strategy: + matrix: + os: [ ubuntu-latest, macos-10.15 ] + python-version: [ "3.7", "3.8", "3.9", "3.10"] + from-source: [ True, False ] + env: + # this script is for testing servers + # it starts server with timeout and checks whether process killed by timeout (started healthy) or died by itself + TEST_SCRIPT: | + timeout 10s $@ & pid=$! + wait $pid + ret=$? + if [[ $ret -ne 124 ]] + then + exit $ret + else + echo "Succeeded!" + fi steps: - name: Setup Python id: setup-python uses: actions/setup-python@v2 with: - python-version: "3.8" + python-version: ${{ matrix.python-version }} architecture: x64 + - uses: actions/setup-go@v3 + with: + go-version: '>=1.17.0' - uses: actions/download-artifact@v2 with: name: wheels path: dist - name: Install wheel - run: pip install dist/*38*linux*.whl + if: ${{ !matrix.from-source }} + # try to install all wheels; only the current platform wheel should be actually installed + run: | + cd dist/ + pip install wheel + for f in *.whl; do pip install $f || true; done - name: Install sdist - run: pip install dist/*tar.gz + if: ${{ matrix.from-source }} + env: + COMPILE_GO: "True" + run: | + pip install 'grpcio-tools==1.44.0' 'pybindgen==0.22.0' + go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.26.0 + go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@v1.1.0 + pip install dist/*tar.gz + - name: Install OS X dependencies + if: matrix.os == 'macos-10.15' + run: brew install coreutils + - name: Smoke test + run: | + feast init test_repo + cd test_repo/ + feast apply + echo "$TEST_SCRIPT" > run-and-wait.sh + bash run-and-wait.sh feast serve + bash run-and-wait.sh feast ui + + pip install cffi + printf "\ngo_feature_retrieval: True" >> feature_store.yaml + bash run-and-wait.sh feast serve build-python-sdk: name: Build wheels on ${{ matrix.os }} @@ -171,6 +219,8 @@ jobs: with: node-version: '17.x' registry-url: 'https://registry.npmjs.org' + - name: Build UI + run: make build-ui - name: Build wheels uses: pypa/cibuildwheel@v2.4.0 env: @@ -178,9 +228,11 @@ jobs: CIBW_SKIP: "cp36-* *-musllinux_x86_64 cp310-macosx_x86_64" CIBW_ARCHS: "native" CIBW_ENVIRONMENT: > - COMPILE_GO=True + COMPILE_GO=True PATH=$PATH:/usr/local/go/bin CIBW_BEFORE_ALL_LINUX: | - yum install -y golang + curl -o go.tar.gz https://dl.google.com/go/go1.18.2.linux-amd64.tar.gz + tar -C /usr/local -xzf go.tar.gz + go version CIBW_BEFORE_ALL_MACOS: | curl -o python.pkg https://www.python.org/ftp/python/3.9.12/python-3.9.12-macosx10.9.pkg sudo installer -pkg python.pkg -target / @@ -188,7 +240,6 @@ jobs: make install-protoc-dependencies make install-go-proto-dependencies make install-go-ci-dependencies - make build-ui - uses: actions/upload-artifact@v2 with: diff --git a/setup.py b/setup.py index 64ea5f0717f..2044de008fc 100644 --- a/setup.py +++ b/setup.py @@ -114,9 +114,7 @@ "happybase>=1.2.0,<3", ] -GE_REQUIRED = [ - "great_expectations>=0.14.0,<0.15.0" -] +GE_REQUIRED = ["great_expectations>=0.14.0,<0.15.0"] GO_REQUIRED = [ "cffi==1.15.*,<2", @@ -166,15 +164,15 @@ "types-setuptools", "types-tabulate", ] - + GCP_REQUIRED - + REDIS_REQUIRED - + AWS_REQUIRED - + SNOWFLAKE_REQUIRED - + SPARK_REQUIRED - + POSTGRES_REQUIRED - + TRINO_REQUIRED - + GE_REQUIRED - + HBASE_REQUIRED + + GCP_REQUIRED + + REDIS_REQUIRED + + AWS_REQUIRED + + SNOWFLAKE_REQUIRED + + SPARK_REQUIRED + + POSTGRES_REQUIRED + + TRINO_REQUIRED + + GE_REQUIRED + + HBASE_REQUIRED ) DEV_REQUIRED = ["mypy-protobuf==3.1", "grpcio-testing==1.*"] + CI_REQUIRED @@ -206,7 +204,9 @@ class BuildPythonProtosCommand(Command): description = "Builds the proto files into Python files." - user_options = [] + user_options = [ + ("inplace", "i", "Write generated proto files to source directory."), + ] def initialize_options(self): self.python_protoc = [ @@ -215,13 +215,21 @@ def initialize_options(self): "grpc_tools.protoc", ] # find_executable("protoc") self.proto_folder = os.path.join(repo_root, "protos") - self.python_folder = os.path.join( - os.path.dirname(__file__) or os.getcwd(), "sdk/python/feast/protos" - ) self.sub_folders = PROTO_SUBDIRS + self.build_lib = None + self.inplace = 0 def finalize_options(self): - pass + self.set_undefined_options("build", ("build_lib", "build_lib")) + + @property + def python_folder(self): + if self.inplace: + return os.path.join( + os.path.dirname(__file__) or os.getcwd(), "sdk/python/feast/protos" + ) + + return os.path.join(self.build_lib, "feast/protos") def _generate_python_protos(self, path: str): proto_files = glob.glob(os.path.join(self.proto_folder, path)) @@ -247,13 +255,12 @@ def run(self): # We need the __init__ files for each of the generated subdirs # so that they are regular packages, and don't need the `--namespace-packages` flags # when being typechecked using mypy. - with open(f"{self.python_folder}/feast/{sub_folder}/__init__.py", 'w'): + with open(f"{self.python_folder}/feast/{sub_folder}/__init__.py", "w"): pass - - with open(f"{self.python_folder}/__init__.py", 'w'): + with open(f"{self.python_folder}/__init__.py", "w"): pass - with open(f"{self.python_folder}/feast/__init__.py", 'w'): + with open(f"{self.python_folder}/feast/__init__.py", "w"): pass for path in Path(self.python_folder).rglob("*.py"): @@ -295,12 +302,10 @@ def _ensure_go_and_proto_toolchain(): path_val = _generate_path_with_gopath() try: - subprocess.check_call(["protoc-gen-go", "--version"], env={ - "PATH": path_val - }) - subprocess.check_call(["protoc-gen-go-grpc", "--version"], env={ - "PATH": path_val - }) + subprocess.check_call(["protoc-gen-go", "--version"], env={"PATH": path_val}) + subprocess.check_call( + ["protoc-gen-go-grpc", "--version"], env={"PATH": path_val} + ) except Exception as e: raise RuntimeError("Unable to find go/grpc extensions for protoc") from e @@ -329,15 +334,18 @@ def _generate_go_protos(self, path: str): try: subprocess.check_call( self.go_protoc - + ["-I", self.proto_folder, - "--go_out", self.go_folder, - "--go_opt=module=github.com/feast-dev/feast/go/protos", - "--go-grpc_out", self.go_folder, - "--go-grpc_opt=module=github.com/feast-dev/feast/go/protos"] + + [ + "-I", + self.proto_folder, + "--go_out", + self.go_folder, + "--go_opt=module=github.com/feast-dev/feast/go/protos", + "--go-grpc_out", + self.go_folder, + "--go-grpc_opt=module=github.com/feast-dev/feast/go/protos", + ] + proto_files, - env={ - "PATH": self.path_val - } + env={"PATH": self.path_val}, ) except CalledProcessError as e: print(f"Stderr: {e.stderr}") @@ -355,11 +363,11 @@ class BuildCommand(build_py): def run(self): self.run_command("build_python_protos") - self.run_command("build_ext") if os.getenv("COMPILE_GO", "false").lower() == "true": _ensure_go_and_proto_toolchain() self.run_command("build_go_protos") + self.run_command("build_ext") build_py.run(self) @@ -367,6 +375,7 @@ class DevelopCommand(develop): """Custom develop command.""" def run(self): + self.reinitialize_command("build_python_protos", inplace=1) self.run_command("build_python_protos") if os.getenv("COMPILE_GO", "false").lower() == "true": _ensure_go_and_proto_toolchain() @@ -382,7 +391,10 @@ def finalize_options(self) -> None: self.extensions = [e for e in self.extensions if not self._is_go_ext(e)] def _is_go_ext(self, ext: Extension): - return any(source.endswith('.go') or source.startswith('github') for source in ext.sources) + return any( + source.endswith(".go") or source.startswith("github") + for source in ext.sources + ) def build_extension(self, ext: Extension): if not self._is_go_ext(ext): @@ -400,33 +412,34 @@ def build_extension(self, ext: Extension): ) destination = os.path.dirname(os.path.abspath(self.get_ext_fullpath(ext.name))) - subprocess.check_call([ - "gopy", - "build", - "-output", - destination, - "-vm", - sys.executable, - "-no-make", - *ext.sources - ], env={ - "PATH": bin_path, - "CGO_LDFLAGS_ALLOW": ".*", - **go_env, - }) + subprocess.check_call(["go", "install", "golang.org/x/tools/cmd/goimports"]) + subprocess.check_call(["go", "install", "github.com/go-python/gopy"]) + subprocess.check_call( + [ + "gopy", + "build", + "-output", + destination, + "-vm", + sys.executable, + "-no-make", + *ext.sources, + ], + env={"PATH": bin_path, "CGO_LDFLAGS_ALLOW": ".*", **go_env,}, + ) def copy_extensions_to_source(self): - build_py = self.get_finalized_command('build_py') + build_py = self.get_finalized_command("build_py") for ext in self.extensions: fullname = self.get_ext_fullname(ext.name) - modpath = fullname.split('.') - package = '.'.join(modpath[:-1]) + modpath = fullname.split(".") + package = ".".join(modpath[:-1]) package_dir = build_py.get_package_dir(package) src_dir = dest_dir = package_dir if src_dir.startswith(PYTHON_CODE_PREFIX): - src_dir = package_dir[len(PYTHON_CODE_PREFIX):] + src_dir = package_dir[len(PYTHON_CODE_PREFIX) :] src_dir = src_dir.lstrip("/") src_dir = os.path.join(self.build_lib, src_dir) @@ -443,7 +456,9 @@ def copy_extensions_to_source(self): long_description_content_type="text/markdown", python_requires=REQUIRES_PYTHON, url=URL, - packages=find_packages(where=PYTHON_CODE_PREFIX, exclude=("java", "infra", "sdk/python/tests", "ui")), + packages=find_packages( + where=PYTHON_CODE_PREFIX, exclude=("java", "infra", "sdk/python/tests", "ui") + ), package_dir={"": PYTHON_CODE_PREFIX}, install_requires=REQUIRED, # https://stackoverflow.com/questions/28509965/setuptools-development-requirements @@ -488,6 +503,10 @@ def copy_extensions_to_source(self): "develop": DevelopCommand, "build_ext": build_ext, }, - ext_modules=[Extension('feast.embedded_go.lib._embedded', - ["github.com/feast-dev/feast/go/embedded"])], + ext_modules=[ + Extension( + "feast.embedded_go.lib._embedded", + ["github.com/feast-dev/feast/go/embedded"], + ) + ], ) From abc2b2ce5e9d2f77344454113f2f48a75997ebc9 Mon Sep 17 00:00:00 2001 From: Achal Shah Date: Fri, 13 May 2022 14:56:46 -0700 Subject: [PATCH 86/87] chore: Fix the version checker for upcoming release (#2688) Signed-off-by: Achal Shah --- infra/charts/feast/Chart.yaml | 2 +- infra/scripts/release/bump_file_versions.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/infra/charts/feast/Chart.yaml b/infra/charts/feast/Chart.yaml index a45c2784629..f526e0a7386 100644 --- a/infra/charts/feast/Chart.yaml +++ b/infra/charts/feast/Chart.yaml @@ -1,7 +1,7 @@ apiVersion: v1 description: Feature store for machine learning name: feast -version: 0.20.1 +version: 0.20.0 keywords: - machine learning - big data diff --git a/infra/scripts/release/bump_file_versions.py b/infra/scripts/release/bump_file_versions.py index 451b2f5a725..b706c2c141b 100644 --- a/infra/scripts/release/bump_file_versions.py +++ b/infra/scripts/release/bump_file_versions.py @@ -4,7 +4,7 @@ import sys USAGE = f"Usage: python {sys.argv[0]} [--help] | current_semver_version new_semver_version]" -VERSIONS_TO_BUMP = 28 +VERSIONS_TO_BUMP = 27 def main() -> None: From 40563ca96c7b92019da4a01e5053c0f2aff0a62d Mon Sep 17 00:00:00 2001 From: feast-ci-bot Date: Fri, 13 May 2022 22:01:58 +0000 Subject: [PATCH 87/87] chore(release): release 0.21.0 # [0.21.0](https://github.com/feast-dev/feast/compare/v0.20.0...v0.21.0) (2022-05-13) ### Bug Fixes * Addresses ZeroDivisionError when materializing file source with same timestamps ([#2551](https://github.com/feast-dev/feast/issues/2551)) ([1e398d9](https://github.com/feast-dev/feast/commit/1e398d9089dc4674be73ea0869efb0aede50cd93)) * Asynchronously refresh registry for the feast ui command ([#2672](https://github.com/feast-dev/feast/issues/2672)) ([1b09ca2](https://github.com/feast-dev/feast/commit/1b09ca26e0ab7ba5593278e039bc64d293634e67)) * Build platform specific python packages with ci-build-wheel ([#2555](https://github.com/feast-dev/feast/issues/2555)) ([b10a4cf](https://github.com/feast-dev/feast/commit/b10a4cfec40514d5c36cefdb4be24d39fdb1e74a)) * Delete data sources from registry when using the diffing logic ([#2669](https://github.com/feast-dev/feast/issues/2669)) ([fc00ca8](https://github.com/feast-dev/feast/commit/fc00ca8fc091ab2642121de69d4624783f11445c)) * Enforce kw args featureservice ([#2575](https://github.com/feast-dev/feast/issues/2575)) ([160d7b7](https://github.com/feast-dev/feast/commit/160d7b71a74531909fab575cb263d02b3996fac2)) * Enforce kw args in datasources ([#2567](https://github.com/feast-dev/feast/issues/2567)) ([0b7ec53](https://github.com/feast-dev/feast/commit/0b7ec5386e66d21ac9e6d728e14e3663f27cf146)) * Feature logging to Redshift is broken ([#2655](https://github.com/feast-dev/feast/issues/2655)) ([479cd51](https://github.com/feast-dev/feast/commit/479cd512213635551e70ae599564a898046461b2)) * Feature service to templates ([#2649](https://github.com/feast-dev/feast/issues/2649)) ([1e02066](https://github.com/feast-dev/feast/commit/1e0206627fef891aa3a3f0b0f46507449e3663e7)) * Feature with timestamp type is incorrectly interpreted by Go FS ([#2588](https://github.com/feast-dev/feast/issues/2588)) ([e3d9588](https://github.com/feast-dev/feast/commit/e3d958863b32df0158b278fb97d392397cdff672)) * Fix `__hash__` methods ([#2556](https://github.com/feast-dev/feast/issues/2556)) ([ebb7dfe](https://github.com/feast-dev/feast/commit/ebb7dfeaee9dc337a90f5d6b984ad07365018d42)) * Fix AWS bootstrap template ([#2604](https://github.com/feast-dev/feast/issues/2604)) ([c94a69c](https://github.com/feast-dev/feast/commit/c94a69cff541feb1557770bdaf77cd7cc4f2f919)) * Fix broken proto conversion methods for data sources ([#2603](https://github.com/feast-dev/feast/issues/2603)) ([00ed65a](https://github.com/feast-dev/feast/commit/00ed65a77177cfe04877e9550d1c8c1e903dadf8)) * Fix case where on demand feature view tab is broken if no custom tabs are passed. ([#2682](https://github.com/feast-dev/feast/issues/2682)) ([01d3568](https://github.com/feast-dev/feast/commit/01d3568168bb9febb9fbda4988283b3886c32a31)) * Fix DynamoDB fetches when there are entities that are not found ([#2573](https://github.com/feast-dev/feast/issues/2573)) ([7076fe0](https://github.com/feast-dev/feast/commit/7076fe0483de50af21fe7d7e7da192823f66c3da)) * Fix Feast UI parser to work with new APIs ([#2668](https://github.com/feast-dev/feast/issues/2668)) ([8d76751](https://github.com/feast-dev/feast/commit/8d76751d1e702ee7059def7721b97cfcdf9f6300)) * Fix java server after odfv update ([#2602](https://github.com/feast-dev/feast/issues/2602)) ([0ca6297](https://github.com/feast-dev/feast/commit/0ca62970dd6bc33c00bd5d8b828752814d480588)) * Fix materialization with ttl=0 bug ([#2666](https://github.com/feast-dev/feast/issues/2666)) ([ab78702](https://github.com/feast-dev/feast/commit/ab78702e20b4aaff13497dc8d29495f58ae5ee36)) * Fix push sources and add docs / tests pushing via the python feature server ([#2561](https://github.com/feast-dev/feast/issues/2561)) ([e8e418e](https://github.com/feast-dev/feast/commit/e8e418ed87481638e098d52ee2ca2d0327b63cc9)) * Fixed data mapping errors for Snowflake ([#2558](https://github.com/feast-dev/feast/issues/2558)) ([53c2ce2](https://github.com/feast-dev/feast/commit/53c2ce2c2255791fdd85aa80d69ab6214106e169)) * Forcing ODFV udfs to be __main__ module and fixing false positive duplicate data source warning ([#2677](https://github.com/feast-dev/feast/issues/2677)) ([2ce33cd](https://github.com/feast-dev/feast/commit/2ce33cdd5e0a6a855e60c067aadafddf10ea2359)) * Include the ui/build directory, and remove package data ([#2681](https://github.com/feast-dev/feast/issues/2681)) ([0384f5f](https://github.com/feast-dev/feast/commit/0384f5f78765a3d43534919428c4cc4744a101f2)) * Infer features for feature services when they depend on feature views without schemas ([#2653](https://github.com/feast-dev/feast/issues/2653)) ([87c194c](https://github.com/feast-dev/feast/commit/87c194c22b2732c7060a130bb8861eff0d168c0b)) * Pin dependencies to nearest major version ([#2647](https://github.com/feast-dev/feast/issues/2647)) ([bb72b7c](https://github.com/feast-dev/feast/commit/bb72b7c9f13442d6350867359ab764fe67c74c4c)) * Pin pip<22.1 to get around breaking change in pip==22.1 ([#2678](https://github.com/feast-dev/feast/issues/2678)) ([d3e01bc](https://github.com/feast-dev/feast/commit/d3e01bc74da9f4678d3cf384afd4616a299f32fd)) * Punt deprecation warnings and clean up some warnings. ([#2670](https://github.com/feast-dev/feast/issues/2670)) ([f775d2e](https://github.com/feast-dev/feast/commit/f775d2e8a4a185e59031504e6e8eda8b330d066c)) * Reject undefined features when using `get_historical_features` or `get_online_features` ([#2665](https://github.com/feast-dev/feast/issues/2665)) ([36849fb](https://github.com/feast-dev/feast/commit/36849fb76716ba663d347369dfec3f3bbfcac3f8)) * Remove ci extra from the feature transformation server dockerfile ([#2618](https://github.com/feast-dev/feast/issues/2618)) ([25613b4](https://github.com/feast-dev/feast/commit/25613b414470e8559b9d7b1f9bb74e269fea08c8)) * Remove incorrect call to logging.basicConfig ([#2676](https://github.com/feast-dev/feast/issues/2676)) ([8cbf51c](https://github.com/feast-dev/feast/commit/8cbf51ca2ba3f672b6dc0e820ac18d4608220abf)) * Small typo in CLI ([#2578](https://github.com/feast-dev/feast/issues/2578)) ([f372981](https://github.com/feast-dev/feast/commit/f3729812d0666a10290d3a5614729845058f835d)) * Switch from `join_key` to `join_keys` in tests and docs ([#2580](https://github.com/feast-dev/feast/issues/2580)) ([d66c931](https://github.com/feast-dev/feast/commit/d66c931026823f77cbfd40bbe82035eb337e417d)) * Teardown trino container correctly after tests ([#2562](https://github.com/feast-dev/feast/issues/2562)) ([72f1558](https://github.com/feast-dev/feast/commit/72f155882c95f21573b31a613edf066bdb55f630)) * Update build_go_protos to use a consistent python path ([#2550](https://github.com/feast-dev/feast/issues/2550)) ([f136f8c](https://github.com/feast-dev/feast/commit/f136f8cc6c7feade73466aeb6267500377089485)) * Update data source timestamp inference error message to make sense ([#2636](https://github.com/feast-dev/feast/issues/2636)) ([3eaf6b7](https://github.com/feast-dev/feast/commit/3eaf6b79a420ced39f46ca25dddd14b2c69c8ae4)) * Update field api to add tag parameter corresponding to labels in Feature. ([#2610](https://github.com/feast-dev/feast/issues/2610)) ([689d20b](https://github.com/feast-dev/feast/commit/689d20bd0e4da91b9d24878d86787dede0c68f6d)) * Update java integration tests and add more logging ([#2637](https://github.com/feast-dev/feast/issues/2637)) ([10e23b4](https://github.com/feast-dev/feast/commit/10e23b437cd83fe62c8e10c0f577781322970947)) * Update on demand feature view api ([#2587](https://github.com/feast-dev/feast/issues/2587)) ([38cd7f9](https://github.com/feast-dev/feast/commit/38cd7f9ec3d4bf8d81f7f5d65110529b646ba09f)) * Update RedisCluster to use redis-py official implementation ([#2554](https://github.com/feast-dev/feast/issues/2554)) ([ce5606f](https://github.com/feast-dev/feast/commit/ce5606f335e11f6efa13d638072c71062e63420d)) * Use cwd when getting module path ([#2577](https://github.com/feast-dev/feast/issues/2577)) ([b550e59](https://github.com/feast-dev/feast/commit/b550e591f815aff53accdd064589ef06b6607d97)) * Use ParquetDataset for Schema Inference ([#2686](https://github.com/feast-dev/feast/issues/2686)) ([4f85e3e](https://github.com/feast-dev/feast/commit/4f85e3e6b3bb5ca92595aed28db68ada58abbb75)) * Use timestamp type when converting unixtimestamp feature type to arrow ([#2593](https://github.com/feast-dev/feast/issues/2593)) ([c439611](https://github.com/feast-dev/feast/commit/c4396118a99392a7b284b635b80486c94e0c86c8)) ### Features * Add hbase online store support in feast ([#2590](https://github.com/feast-dev/feast/issues/2590)) ([c9eda79](https://github.com/feast-dev/feast/commit/c9eda79c7b1169ef05a481a96f07960c014e88b9)) * Adding SSL options for Postgres ([#2644](https://github.com/feast-dev/feast/issues/2644)) ([0e809c2](https://github.com/feast-dev/feast/commit/0e809c2c86a8687397b54a9e073d6d2abcafd35f)) * Allow Feast UI to be spun up with CLI command: feast ui ([#2667](https://github.com/feast-dev/feast/issues/2667)) ([44ca9f5](https://github.com/feast-dev/feast/commit/44ca9f5f7eb495e23dd9a603b92ca6fd348e9ddb)) * Allow to pass secrets and environment variables to transformation service ([#2632](https://github.com/feast-dev/feast/issues/2632)) ([ffa33ad](https://github.com/feast-dev/feast/commit/ffa33ad9860e3220f8c2bb5374c1fb86f716a0c7)) * CLI command 'feast serve' should start go-based server if flag is enabled ([#2617](https://github.com/feast-dev/feast/issues/2617)) ([f3ff812](https://github.com/feast-dev/feast/commit/f3ff812a15d46287ed12918396167b6ad295cdc9)) * Create stream and batch feature view abstractions ([#2559](https://github.com/feast-dev/feast/issues/2559)) ([d1f76e5](https://github.com/feast-dev/feast/commit/d1f76e5aa5d2e2006296b3ca2cd9b08816ea0d9b)) * Postgres supported as Registry, Online store, and Offline store ([#2401](https://github.com/feast-dev/feast/issues/2401)) ([ed2f979](https://github.com/feast-dev/feast/commit/ed2f979fab0bb9ca4ea6f8e56cc55b0b9ad107a6)) * Support entity fields in feature view `schema` parameter by dropping them ([#2568](https://github.com/feast-dev/feast/issues/2568)) ([c8fcc35](https://github.com/feast-dev/feast/commit/c8fcc3504c7438961d0dc05869e3a2fca5b11f20)) * Write logged features to an offline store (Python API) ([#2574](https://github.com/feast-dev/feast/issues/2574)) ([134dc5f](https://github.com/feast-dev/feast/commit/134dc5f7e86e7c88df2b3b313c41eb8f89def6e2)) * Write logged features to Offline Store (Go - Python integration) ([#2621](https://github.com/feast-dev/feast/issues/2621)) ([ccad832](https://github.com/feast-dev/feast/commit/ccad832a4457f5e6cbc001cbadd91b43d98d282d)) ### Reverts * Revert "chore: Deprecate value type (#2611)" (#2643) ([4fbdfb1](https://github.com/feast-dev/feast/commit/4fbdfb1da90b83978c431ce140ce113bf8284b9a)), closes [#2611](https://github.com/feast-dev/feast/issues/2611) [#2643](https://github.com/feast-dev/feast/issues/2643) --- CHANGELOG.md | 65 +++++++++++++++++++ infra/charts/feast-python-server/Chart.yaml | 2 +- infra/charts/feast-python-server/README.md | 2 +- infra/charts/feast/Chart.yaml | 2 +- infra/charts/feast/README.md | 6 +- .../feast/charts/feature-server/Chart.yaml | 4 +- .../feast/charts/feature-server/README.md | 4 +- .../feast/charts/feature-server/values.yaml | 2 +- .../charts/transformation-service/Chart.yaml | 4 +- .../charts/transformation-service/README.md | 4 +- .../charts/transformation-service/values.yaml | 2 +- infra/charts/feast/requirements.yaml | 4 +- java/pom.xml | 4 +- 13 files changed, 85 insertions(+), 20 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index bcb6f8cde3e..9ef9d0ec369 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,70 @@ # Changelog +# [0.21.0](https://github.com/feast-dev/feast/compare/v0.20.0...v0.21.0) (2022-05-13) + + +### Bug Fixes + +* Addresses ZeroDivisionError when materializing file source with same timestamps ([#2551](https://github.com/feast-dev/feast/issues/2551)) ([1e398d9](https://github.com/feast-dev/feast/commit/1e398d9089dc4674be73ea0869efb0aede50cd93)) +* Asynchronously refresh registry for the feast ui command ([#2672](https://github.com/feast-dev/feast/issues/2672)) ([1b09ca2](https://github.com/feast-dev/feast/commit/1b09ca26e0ab7ba5593278e039bc64d293634e67)) +* Build platform specific python packages with ci-build-wheel ([#2555](https://github.com/feast-dev/feast/issues/2555)) ([b10a4cf](https://github.com/feast-dev/feast/commit/b10a4cfec40514d5c36cefdb4be24d39fdb1e74a)) +* Delete data sources from registry when using the diffing logic ([#2669](https://github.com/feast-dev/feast/issues/2669)) ([fc00ca8](https://github.com/feast-dev/feast/commit/fc00ca8fc091ab2642121de69d4624783f11445c)) +* Enforce kw args featureservice ([#2575](https://github.com/feast-dev/feast/issues/2575)) ([160d7b7](https://github.com/feast-dev/feast/commit/160d7b71a74531909fab575cb263d02b3996fac2)) +* Enforce kw args in datasources ([#2567](https://github.com/feast-dev/feast/issues/2567)) ([0b7ec53](https://github.com/feast-dev/feast/commit/0b7ec5386e66d21ac9e6d728e14e3663f27cf146)) +* Feature logging to Redshift is broken ([#2655](https://github.com/feast-dev/feast/issues/2655)) ([479cd51](https://github.com/feast-dev/feast/commit/479cd512213635551e70ae599564a898046461b2)) +* Feature service to templates ([#2649](https://github.com/feast-dev/feast/issues/2649)) ([1e02066](https://github.com/feast-dev/feast/commit/1e0206627fef891aa3a3f0b0f46507449e3663e7)) +* Feature with timestamp type is incorrectly interpreted by Go FS ([#2588](https://github.com/feast-dev/feast/issues/2588)) ([e3d9588](https://github.com/feast-dev/feast/commit/e3d958863b32df0158b278fb97d392397cdff672)) +* Fix `__hash__` methods ([#2556](https://github.com/feast-dev/feast/issues/2556)) ([ebb7dfe](https://github.com/feast-dev/feast/commit/ebb7dfeaee9dc337a90f5d6b984ad07365018d42)) +* Fix AWS bootstrap template ([#2604](https://github.com/feast-dev/feast/issues/2604)) ([c94a69c](https://github.com/feast-dev/feast/commit/c94a69cff541feb1557770bdaf77cd7cc4f2f919)) +* Fix broken proto conversion methods for data sources ([#2603](https://github.com/feast-dev/feast/issues/2603)) ([00ed65a](https://github.com/feast-dev/feast/commit/00ed65a77177cfe04877e9550d1c8c1e903dadf8)) +* Fix case where on demand feature view tab is broken if no custom tabs are passed. ([#2682](https://github.com/feast-dev/feast/issues/2682)) ([01d3568](https://github.com/feast-dev/feast/commit/01d3568168bb9febb9fbda4988283b3886c32a31)) +* Fix DynamoDB fetches when there are entities that are not found ([#2573](https://github.com/feast-dev/feast/issues/2573)) ([7076fe0](https://github.com/feast-dev/feast/commit/7076fe0483de50af21fe7d7e7da192823f66c3da)) +* Fix Feast UI parser to work with new APIs ([#2668](https://github.com/feast-dev/feast/issues/2668)) ([8d76751](https://github.com/feast-dev/feast/commit/8d76751d1e702ee7059def7721b97cfcdf9f6300)) +* Fix java server after odfv update ([#2602](https://github.com/feast-dev/feast/issues/2602)) ([0ca6297](https://github.com/feast-dev/feast/commit/0ca62970dd6bc33c00bd5d8b828752814d480588)) +* Fix materialization with ttl=0 bug ([#2666](https://github.com/feast-dev/feast/issues/2666)) ([ab78702](https://github.com/feast-dev/feast/commit/ab78702e20b4aaff13497dc8d29495f58ae5ee36)) +* Fix push sources and add docs / tests pushing via the python feature server ([#2561](https://github.com/feast-dev/feast/issues/2561)) ([e8e418e](https://github.com/feast-dev/feast/commit/e8e418ed87481638e098d52ee2ca2d0327b63cc9)) +* Fixed data mapping errors for Snowflake ([#2558](https://github.com/feast-dev/feast/issues/2558)) ([53c2ce2](https://github.com/feast-dev/feast/commit/53c2ce2c2255791fdd85aa80d69ab6214106e169)) +* Forcing ODFV udfs to be __main__ module and fixing false positive duplicate data source warning ([#2677](https://github.com/feast-dev/feast/issues/2677)) ([2ce33cd](https://github.com/feast-dev/feast/commit/2ce33cdd5e0a6a855e60c067aadafddf10ea2359)) +* Include the ui/build directory, and remove package data ([#2681](https://github.com/feast-dev/feast/issues/2681)) ([0384f5f](https://github.com/feast-dev/feast/commit/0384f5f78765a3d43534919428c4cc4744a101f2)) +* Infer features for feature services when they depend on feature views without schemas ([#2653](https://github.com/feast-dev/feast/issues/2653)) ([87c194c](https://github.com/feast-dev/feast/commit/87c194c22b2732c7060a130bb8861eff0d168c0b)) +* Pin dependencies to nearest major version ([#2647](https://github.com/feast-dev/feast/issues/2647)) ([bb72b7c](https://github.com/feast-dev/feast/commit/bb72b7c9f13442d6350867359ab764fe67c74c4c)) +* Pin pip<22.1 to get around breaking change in pip==22.1 ([#2678](https://github.com/feast-dev/feast/issues/2678)) ([d3e01bc](https://github.com/feast-dev/feast/commit/d3e01bc74da9f4678d3cf384afd4616a299f32fd)) +* Punt deprecation warnings and clean up some warnings. ([#2670](https://github.com/feast-dev/feast/issues/2670)) ([f775d2e](https://github.com/feast-dev/feast/commit/f775d2e8a4a185e59031504e6e8eda8b330d066c)) +* Reject undefined features when using `get_historical_features` or `get_online_features` ([#2665](https://github.com/feast-dev/feast/issues/2665)) ([36849fb](https://github.com/feast-dev/feast/commit/36849fb76716ba663d347369dfec3f3bbfcac3f8)) +* Remove ci extra from the feature transformation server dockerfile ([#2618](https://github.com/feast-dev/feast/issues/2618)) ([25613b4](https://github.com/feast-dev/feast/commit/25613b414470e8559b9d7b1f9bb74e269fea08c8)) +* Remove incorrect call to logging.basicConfig ([#2676](https://github.com/feast-dev/feast/issues/2676)) ([8cbf51c](https://github.com/feast-dev/feast/commit/8cbf51ca2ba3f672b6dc0e820ac18d4608220abf)) +* Small typo in CLI ([#2578](https://github.com/feast-dev/feast/issues/2578)) ([f372981](https://github.com/feast-dev/feast/commit/f3729812d0666a10290d3a5614729845058f835d)) +* Switch from `join_key` to `join_keys` in tests and docs ([#2580](https://github.com/feast-dev/feast/issues/2580)) ([d66c931](https://github.com/feast-dev/feast/commit/d66c931026823f77cbfd40bbe82035eb337e417d)) +* Teardown trino container correctly after tests ([#2562](https://github.com/feast-dev/feast/issues/2562)) ([72f1558](https://github.com/feast-dev/feast/commit/72f155882c95f21573b31a613edf066bdb55f630)) +* Update build_go_protos to use a consistent python path ([#2550](https://github.com/feast-dev/feast/issues/2550)) ([f136f8c](https://github.com/feast-dev/feast/commit/f136f8cc6c7feade73466aeb6267500377089485)) +* Update data source timestamp inference error message to make sense ([#2636](https://github.com/feast-dev/feast/issues/2636)) ([3eaf6b7](https://github.com/feast-dev/feast/commit/3eaf6b79a420ced39f46ca25dddd14b2c69c8ae4)) +* Update field api to add tag parameter corresponding to labels in Feature. ([#2610](https://github.com/feast-dev/feast/issues/2610)) ([689d20b](https://github.com/feast-dev/feast/commit/689d20bd0e4da91b9d24878d86787dede0c68f6d)) +* Update java integration tests and add more logging ([#2637](https://github.com/feast-dev/feast/issues/2637)) ([10e23b4](https://github.com/feast-dev/feast/commit/10e23b437cd83fe62c8e10c0f577781322970947)) +* Update on demand feature view api ([#2587](https://github.com/feast-dev/feast/issues/2587)) ([38cd7f9](https://github.com/feast-dev/feast/commit/38cd7f9ec3d4bf8d81f7f5d65110529b646ba09f)) +* Update RedisCluster to use redis-py official implementation ([#2554](https://github.com/feast-dev/feast/issues/2554)) ([ce5606f](https://github.com/feast-dev/feast/commit/ce5606f335e11f6efa13d638072c71062e63420d)) +* Use cwd when getting module path ([#2577](https://github.com/feast-dev/feast/issues/2577)) ([b550e59](https://github.com/feast-dev/feast/commit/b550e591f815aff53accdd064589ef06b6607d97)) +* Use ParquetDataset for Schema Inference ([#2686](https://github.com/feast-dev/feast/issues/2686)) ([4f85e3e](https://github.com/feast-dev/feast/commit/4f85e3e6b3bb5ca92595aed28db68ada58abbb75)) +* Use timestamp type when converting unixtimestamp feature type to arrow ([#2593](https://github.com/feast-dev/feast/issues/2593)) ([c439611](https://github.com/feast-dev/feast/commit/c4396118a99392a7b284b635b80486c94e0c86c8)) + + +### Features + +* Add hbase online store support in feast ([#2590](https://github.com/feast-dev/feast/issues/2590)) ([c9eda79](https://github.com/feast-dev/feast/commit/c9eda79c7b1169ef05a481a96f07960c014e88b9)) +* Adding SSL options for Postgres ([#2644](https://github.com/feast-dev/feast/issues/2644)) ([0e809c2](https://github.com/feast-dev/feast/commit/0e809c2c86a8687397b54a9e073d6d2abcafd35f)) +* Allow Feast UI to be spun up with CLI command: feast ui ([#2667](https://github.com/feast-dev/feast/issues/2667)) ([44ca9f5](https://github.com/feast-dev/feast/commit/44ca9f5f7eb495e23dd9a603b92ca6fd348e9ddb)) +* Allow to pass secrets and environment variables to transformation service ([#2632](https://github.com/feast-dev/feast/issues/2632)) ([ffa33ad](https://github.com/feast-dev/feast/commit/ffa33ad9860e3220f8c2bb5374c1fb86f716a0c7)) +* CLI command 'feast serve' should start go-based server if flag is enabled ([#2617](https://github.com/feast-dev/feast/issues/2617)) ([f3ff812](https://github.com/feast-dev/feast/commit/f3ff812a15d46287ed12918396167b6ad295cdc9)) +* Create stream and batch feature view abstractions ([#2559](https://github.com/feast-dev/feast/issues/2559)) ([d1f76e5](https://github.com/feast-dev/feast/commit/d1f76e5aa5d2e2006296b3ca2cd9b08816ea0d9b)) +* Postgres supported as Registry, Online store, and Offline store ([#2401](https://github.com/feast-dev/feast/issues/2401)) ([ed2f979](https://github.com/feast-dev/feast/commit/ed2f979fab0bb9ca4ea6f8e56cc55b0b9ad107a6)) +* Support entity fields in feature view `schema` parameter by dropping them ([#2568](https://github.com/feast-dev/feast/issues/2568)) ([c8fcc35](https://github.com/feast-dev/feast/commit/c8fcc3504c7438961d0dc05869e3a2fca5b11f20)) +* Write logged features to an offline store (Python API) ([#2574](https://github.com/feast-dev/feast/issues/2574)) ([134dc5f](https://github.com/feast-dev/feast/commit/134dc5f7e86e7c88df2b3b313c41eb8f89def6e2)) +* Write logged features to Offline Store (Go - Python integration) ([#2621](https://github.com/feast-dev/feast/issues/2621)) ([ccad832](https://github.com/feast-dev/feast/commit/ccad832a4457f5e6cbc001cbadd91b43d98d282d)) + + +### Reverts + +* Revert "chore: Deprecate value type (#2611)" (#2643) ([4fbdfb1](https://github.com/feast-dev/feast/commit/4fbdfb1da90b83978c431ce140ce113bf8284b9a)), closes [#2611](https://github.com/feast-dev/feast/issues/2611) [#2643](https://github.com/feast-dev/feast/issues/2643) + # [0.20.0](https://github.com/feast-dev/feast/compare/v0.19.0...v0.20.0) (2022-04-14) diff --git a/infra/charts/feast-python-server/Chart.yaml b/infra/charts/feast-python-server/Chart.yaml index 1c1271b11e4..bd0140485c4 100644 --- a/infra/charts/feast-python-server/Chart.yaml +++ b/infra/charts/feast-python-server/Chart.yaml @@ -2,7 +2,7 @@ apiVersion: v2 name: feast-python-server description: Feast Feature Server in Python type: application -version: 0.20.0 +version: 0.21.0 keywords: - machine learning - big data diff --git a/infra/charts/feast-python-server/README.md b/infra/charts/feast-python-server/README.md index 02a8054799b..af844bf7d35 100644 --- a/infra/charts/feast-python-server/README.md +++ b/infra/charts/feast-python-server/README.md @@ -1,6 +1,6 @@ # feast-python-server -![Version: 0.20.0](https://img.shields.io/badge/Version-0.20.0-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square) +![Version: 0.21.0](https://img.shields.io/badge/Version-0.21.0-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square) Feast Feature Server in Python diff --git a/infra/charts/feast/Chart.yaml b/infra/charts/feast/Chart.yaml index f526e0a7386..bf1020ffa28 100644 --- a/infra/charts/feast/Chart.yaml +++ b/infra/charts/feast/Chart.yaml @@ -1,7 +1,7 @@ apiVersion: v1 description: Feature store for machine learning name: feast -version: 0.20.0 +version: 0.21.0 keywords: - machine learning - big data diff --git a/infra/charts/feast/README.md b/infra/charts/feast/README.md index de28d54d8e3..8d2865f9e09 100644 --- a/infra/charts/feast/README.md +++ b/infra/charts/feast/README.md @@ -8,7 +8,7 @@ This repo contains Helm charts for Feast components that are being installed on ## Chart: Feast -Feature store for machine learning Current chart version is `0.20.0` +Feature store for machine learning Current chart version is `0.21.0` ## Installation @@ -55,8 +55,8 @@ For more details, please see: https://docs.feast.dev/how-to-guides/running-feast | Repository | Name | Version | |------------|------|---------| | https://charts.helm.sh/stable | redis | 10.5.6 | -| https://feast-helm-charts.storage.googleapis.com | feature-server(feature-server) | 0.20.0 | -| https://feast-helm-charts.storage.googleapis.com | transformation-service(transformation-service) | 0.20.0 | +| https://feast-helm-charts.storage.googleapis.com | feature-server(feature-server) | 0.21.0 | +| https://feast-helm-charts.storage.googleapis.com | transformation-service(transformation-service) | 0.21.0 | ## Values diff --git a/infra/charts/feast/charts/feature-server/Chart.yaml b/infra/charts/feast/charts/feature-server/Chart.yaml index 492a0f3b616..812719b5f09 100644 --- a/infra/charts/feast/charts/feature-server/Chart.yaml +++ b/infra/charts/feast/charts/feature-server/Chart.yaml @@ -1,8 +1,8 @@ apiVersion: v1 description: "Feast Feature Server: Online feature serving service for Feast" name: feature-server -version: 0.20.0 -appVersion: v0.20.0 +version: 0.21.0 +appVersion: v0.21.0 keywords: - machine learning - big data diff --git a/infra/charts/feast/charts/feature-server/README.md b/infra/charts/feast/charts/feature-server/README.md index 43d4787d7b2..5577b94dcf1 100644 --- a/infra/charts/feast/charts/feature-server/README.md +++ b/infra/charts/feast/charts/feature-server/README.md @@ -1,6 +1,6 @@ # feature-server -![Version: 0.20.0](https://img.shields.io/badge/Version-0.20.0-informational?style=flat-square) ![AppVersion: v0.20.0](https://img.shields.io/badge/AppVersion-v0.20.0-informational?style=flat-square) +![Version: 0.21.0](https://img.shields.io/badge/Version-0.21.0-informational?style=flat-square) ![AppVersion: v0.21.0](https://img.shields.io/badge/AppVersion-v0.21.0-informational?style=flat-square) Feast Feature Server: Online feature serving service for Feast @@ -17,7 +17,7 @@ Feast Feature Server: Online feature serving service for Feast | envOverrides | object | `{}` | Extra environment variables to set | | image.pullPolicy | string | `"IfNotPresent"` | Image pull policy | | image.repository | string | `"feastdev/feature-server-java"` | Docker image for Feature Server repository | -| image.tag | string | `"0.20.0"` | Image tag | +| image.tag | string | `"0.21.0"` | Image tag | | ingress.grpc.annotations | object | `{}` | Extra annotations for the ingress | | ingress.grpc.auth.enabled | bool | `false` | Flag to enable auth | | ingress.grpc.class | string | `"nginx"` | Which ingress controller to use | diff --git a/infra/charts/feast/charts/feature-server/values.yaml b/infra/charts/feast/charts/feature-server/values.yaml index c8089b4d5e6..457e83875af 100644 --- a/infra/charts/feast/charts/feature-server/values.yaml +++ b/infra/charts/feast/charts/feature-server/values.yaml @@ -5,7 +5,7 @@ image: # image.repository -- Docker image for Feature Server repository repository: feastdev/feature-server-java # image.tag -- Image tag - tag: 0.20.0 + tag: 0.21.0 # image.pullPolicy -- Image pull policy pullPolicy: IfNotPresent diff --git a/infra/charts/feast/charts/transformation-service/Chart.yaml b/infra/charts/feast/charts/transformation-service/Chart.yaml index 8fd50e76641..7922a648c85 100644 --- a/infra/charts/feast/charts/transformation-service/Chart.yaml +++ b/infra/charts/feast/charts/transformation-service/Chart.yaml @@ -1,8 +1,8 @@ apiVersion: v1 description: "Transformation service: to compute on-demand features" name: transformation-service -version: 0.20.0 -appVersion: v0.20.0 +version: 0.21.0 +appVersion: v0.21.0 keywords: - machine learning - big data diff --git a/infra/charts/feast/charts/transformation-service/README.md b/infra/charts/feast/charts/transformation-service/README.md index 5324c191eec..73a738f1ed6 100644 --- a/infra/charts/feast/charts/transformation-service/README.md +++ b/infra/charts/feast/charts/transformation-service/README.md @@ -1,6 +1,6 @@ # transformation-service -![Version: 0.20.0](https://img.shields.io/badge/Version-0.20.0-informational?style=flat-square) ![AppVersion: v0.20.0](https://img.shields.io/badge/AppVersion-v0.20.0-informational?style=flat-square) +![Version: 0.21.0](https://img.shields.io/badge/Version-0.21.0-informational?style=flat-square) ![AppVersion: v0.21.0](https://img.shields.io/badge/AppVersion-v0.21.0-informational?style=flat-square) Transformation service: to compute on-demand features @@ -13,7 +13,7 @@ Transformation service: to compute on-demand features | envOverrides | object | `{}` | Extra environment variables to set | | image.pullPolicy | string | `"IfNotPresent"` | Image pull policy | | image.repository | string | `"feastdev/feature-transformation-server"` | Docker image for Transformation Server repository | -| image.tag | string | `"0.20.0"` | Image tag | +| image.tag | string | `"0.21.0"` | Image tag | | nodeSelector | object | `{}` | Node labels for pod assignment | | podLabels | object | `{}` | Labels to be added to Feast Serving pods | | replicaCount | int | `1` | Number of pods that will be created | diff --git a/infra/charts/feast/charts/transformation-service/values.yaml b/infra/charts/feast/charts/transformation-service/values.yaml index 55f98f92ca4..3d111984e51 100644 --- a/infra/charts/feast/charts/transformation-service/values.yaml +++ b/infra/charts/feast/charts/transformation-service/values.yaml @@ -5,7 +5,7 @@ image: # image.repository -- Docker image for Transformation Server repository repository: feastdev/feature-transformation-server # image.tag -- Image tag - tag: 0.20.0 + tag: 0.21.0 # image.pullPolicy -- Image pull policy pullPolicy: IfNotPresent diff --git a/infra/charts/feast/requirements.yaml b/infra/charts/feast/requirements.yaml index e0eb8368af6..ad0cb850bb3 100644 --- a/infra/charts/feast/requirements.yaml +++ b/infra/charts/feast/requirements.yaml @@ -1,12 +1,12 @@ dependencies: - name: feature-server alias: feature-server - version: 0.20.0 + version: 0.21.0 condition: feature-server.enabled repository: https://feast-helm-charts.storage.googleapis.com - name: transformation-service alias: transformation-service - version: 0.20.0 + version: 0.21.0 condition: transformation-service.enabled repository: https://feast-helm-charts.storage.googleapis.com - name: redis diff --git a/java/pom.xml b/java/pom.xml index 4a4049305b5..3b794d97ed0 100644 --- a/java/pom.xml +++ b/java/pom.xml @@ -38,7 +38,7 @@ - 0.20.0 + 0.21.0 https://github.com/feast-dev/feast UTF-8 @@ -68,7 +68,7 @@ 2.3.1 1.3.2 2.0.1.Final - 0.20.0 + 0.21.0 1.6.6 29.0-jre