Summary of Changes

Hello @pan-x-c, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces the initial integration of a Data-Juicer service into the system. It primarily focuses on adding the necessary components to interact with this service, including a new operator to process data and a client to manage communication. The goal is to enable external data processing capabilities, with the server-side implementation noted as a work in progress.

Highlights

• Data-Juicer Operator Integration: A new DataJuicerOperator is introduced, allowing the system to leverage the Data-Juicer service for processing Experience objects. This operator can be configured using various methods, including direct operator lists, a configuration file, or a natural language description.
• Dedicated Data-Juicer Client: A DataJuicerClient has been added to handle the communication with the Data-Juicer server. This client manages session initialization, sends and receives data (converted to/from HuggingFace Datasets via Parquet files), and ensures proper session closure.
• Experience Data Conversion Utilities: New utility functions (to_hf_datasets, from_hf_datasets) are now available to seamlessly convert Experience objects to and from HuggingFace Dataset format, which is crucial for efficient data transfer to the Data-Juicer service.
• Enhanced Configuration Management: New configuration classes, DataJuicerConfig and ServiceConfig, have been added to trinity/common/config.py. These allow for detailed configuration of the Data-Juicer service, including server URL, OpenAI API settings for its agent, and options for automatic server startup.
• Improved Resource Cleanup: The base ExperienceOperator now includes a close method, and the ExperiencePipeline has been updated to iterate through and call this close method on all its operators. This ensures that resources held by operators, such as the DataJuicerClient connection, are properly released.

Code Review

This pull request introduces a Data-Juicer service, including a client and an operator to integrate it into the experience processing pipeline. The changes are generally well-structured. However, I've identified a critical issue in the DataJuicerOperator where the process method's signature and return type do not match the base class, which would cause a runtime error. Additionally, I've provided suggestions to improve the DataJuicerClient for better efficiency and robustness, such as using in-memory buffers and adding error handling. Please address these points to ensure the new service is reliable and performs well.

Pull Request Overview

This PR adds a comprehensive Data-Juicer service integration to Trinity, enabling data processing capabilities through a client-server architecture. The implementation includes both standalone server functionality and automated server management.

Key changes:

• Implements Data-Juicer client with auto-start capabilities and experience processing
• Adds Data-Juicer server with session management and HTTP API endpoints
• Integrates Data-Juicer operator into the experience pipeline system

Reviewed Changes

Copilot reviewed 18 out of 20 changed files in this pull request and generated 5 comments.

_{Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.}