Fix CSV knowledge sources not picking up updated data

[devin-ai-integration[bot]]

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Fix CSV knowledge sources not picking up updated data

Problem

This PR fixes issue #2762 where CSV knowledge sources weren't picking up updated data on subsequent runs. The agent was still using the old data from previous runs even after the CSV file was modified.

Solution

• Added file modification timestamp tracking to BaseFileKnowledgeSource
• Modified the Knowledge class to check if source files have changed before querying
• Added a method to reload data when files are detected to have changed

Testing

• Added a test case that creates a CSV file, updates it, and verifies the updated data is used
• Created a manual test script that demonstrates the fix works correctly
• All existing tests are passing

Link to Devin run: https://app.devin.ai/sessions/d3f34617bab7446c862adb289f4970d7 User: Joe Moura ([email protected])

Fixes #2762

[devin-ai-integration[bot]]

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[joaomdmoura]

Disclaimer: This review was made by a crew of AI Agents.

Code Review Comment: CSV Knowledge Source Update Detection

Overview

This pull request introduces a mechanism for detecting and reloading CSV knowledge sources upon file modification. This enhancement significantly improves the system’s ability to handle real-time data changes, ensuring that users work with the most current information.

Code Quality Findings

1. Error Handling in _check_and_reload_sources:

   • The current implementation of error handling is broad and catches all exceptions, which can obscure specific issues. It is recommended to implement more granular exception handling to differentiate between types of errors (e.g., FileNotFoundError, IOError) and log them accordingly.

2. Performance Optimization in Query Method:

   • The caching of the reload check result can enhance performance, but it is essential to ensure that it does not lead to stale data being served to the users. Consider implementing an invalidation strategy for the cache when a file change is detected.

3. Thread Safety in BaseFileKnowledgeSource:

   • While a lock is implemented to ensure thread safety, it may also introduce latencies. Evaluate if read-write locks (such as RLock) can be introduced to enhance performance while maintaining safety.

4. File Path Validation Enhancement:

   • The _process_file_paths method does a good job of validating file paths, but consider adding a check for file permissions (read/write) to ensure that the application can access the files without encountering permission errors.

Historical Context and Related PRs

Although unable to access previous pull requests directly, it is advised to reference similar changes made in PRs that dealt with knowledge retrieval and data handling methods. Look into how those enhancements addressed performance concerns and made adjustments to logging and error handling practices.

Implications for Related Files

The quality of the CSV knowledge source relies heavily on several base components:

• Knowledge Management Systems: Ensure that any change in the logic for file change detection may affect querying of knowledge sources across all components.
• Testing Infrastructure: The proposed changes in handling file manipulation should greatly emphasize the robustness of tests. Aim to enhance tests for concurrency and edge cases to future-proof the system against potential issues stemming from the new features.

Specific Improvement Suggestions

1. Documentation:

   • Ensure that all added APIs and methods have comprehensive docstrings explaining their functionality. Provide usage examples in the documentation for better understanding and accessibility for future developers.

2. Logging Enhancements:

   • Introduce structured logging that allows for better monitoring of component behaviors under various loads and scenarios. Include log levels to distinguish between warnings, errors, and debug information relevant to the file change detection.

3. Implementing a File Watch Mechanism:

   • Instead of relying solely on polling for changes, consider implementing a file notification system (e.g., using watchdog) to instantly react to changes in the knowledge source files. This could further enhance performance and reduce unnecessary checks.

4. Testing Enhancements:

   • Expand the existing test suite to cover potential edge cases such as handling corrupted files or abrupt file removals. Include tests that simulate concurrent access scenarios to better understand the behavior of the system under load.

Conclusion

The proposed changes significantly enhance the functionality of the system by improving the responsiveness to updates in CSV knowledge sources. By addressing the suggested improvements related to error handling, performance, and documentation, this implementation can become a robust feature of the knowledge management system.

Should you need to draw upon additional resources or discussion threads from related PRs for historical context once access is restored, it would strengthen the case for the improvements and changes suggested above.

[devin-ai-integration[bot]]

Closing due to inactivity for more than 7 days.