fix: update search_service

[ChenZiHong-Gavin]

This PR updates search_service operator.

[gemini-code-assist]

Summary of Changes

Hello @ChenZiHong-Gavin, 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 focuses on enhancing the SearchService by refactoring its core data processing logic. The primary goal is to reduce the service's reliance on the pandas library, making it more lightweight and adaptable by transitioning to native Python data structures for handling search batches. These changes also refine the service's initialization and improve result traceability.

Highlights

• Refactored process method: The process method in SearchService has been significantly refactored to remove its dependency on pandas DataFrames. It now accepts a list as input and returns a Tuple[list, dict], making the service more flexible and less coupled to pandas.
• Updated __init__ method: The __init__ method of SearchService now passes a kv_backend argument to its base class constructor and uses op_name="search" instead of "search_service", streamlining the initialization process.
• Trace ID Handling: Logic has been added within the process method to ensure that each search result includes a _trace_id, which is crucial for tracking and debugging.

Changelog

• graphgen/operators/search/search_service.py
  • Added Tuple to the typing import for improved type hinting.
  • Modified the __init__ method to pass kv_backend to the base class and update the op_name.
  • Rewrote the process method to accept a list instead of pd.DataFrame and return Tuple[list, dict].
  • Removed pandas import and related DataFrame operations from the process method.
  • Implemented logic to add _trace_id to search results if not already present.

Activity

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[gemini-code-assist]

Code Review

This pull request refactors the SearchService operator to align it with the BaseOperator interface, which is a good improvement. The process method signature and implementation are updated to handle data as a list of dictionaries and to correctly generate _trace_id for search results. However, I've identified a significant issue where the meta_updates dictionary, crucial for caching and data lineage, is not being populated. This will prevent the caching mechanism from working as intended. My review includes a detailed comment on this issue.

[gemini-code-assist]

The meta_updates dictionary is not being populated here. This loop processes search results, but it doesn't create the mapping from the input seed's _trace_id to the output result's _trace_id. This will break the caching mechanism of the BaseOperator, as it relies on meta_updates to build forward and inverse metadata maps for caching and recovery. Without this, every run will re-process all data.

To fix this, you need to populate meta_updates within this loop. This likely requires _process_single_source to provide the source seed's _trace_id for each result.

[ChenZiHong-Gavin]

/gemini review

[gemini-code-assist]

Code Review

This pull request refactors the SearchService to handle a single data source instead of a list, simplifying its internal logic and aligning the configuration files accordingly. The caching mechanism has been streamlined by leveraging the BaseOperator's built-in caching capabilities, removing redundant logic from the SearchService itself. The changes include updating method signatures, parameter handling, and import statements to reflect these architectural improvements. Overall, the changes enhance the clarity and maintainability of the search functionality.