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Optimize Database Workflow for Chat History and System Message Updates

Maxim Martyshov requested to merge 95-optimize-retrieval-and-insertion-of-user-chat-history into main

Description:

This merge request addresses two key issues: the optimization of retrieving and inserting user chat history and the improvement of the system message update mechanism.

Issue #95 (closed): Optimize Retrieval and Insertion of User Chat History

In this issue, we've implemented a new method for handling users' chat history that is efficient both in terms of execution time and storage space. Key updates include:

  • Defined clear criteria for what constitutes meaningful context in a chat history that needs to be preserved when data is truncated or compressed.
  • Developed a new algorithm to truncate or compress chat history based on these criteria.
  • Integrated the new algorithm into the existing database workflow.

Issue #99 (closed): Improve System Message Update Mechanism

In this issue, we've optimized the process of updating system messages without needing to clear the entire database. Major changes include:

  • Identified the inefficiencies of the existing system message update mechanism.
  • Designed a new mechanism for system message updates that doesn't require clearing the entire database.
  • Implemented the new mechanism into the existing system architecture.

All changes were thoroughly tested to ensure data integrity and system stability. Significant improvements were noticed in execution time and resource usage compared to the previous methods.

Test Procedure and Results:

Both issues were tested extensively through unit tests, integration tests, and manual checks. The new truncation/compression algorithm preserved the meaningful context in chat history while reducing the size and load time. The new system message update mechanism successfully updated system messages without clearing the database, resulting in less resource consumption. All tests passed, and the new features performed well under stress testing.

Impact:

The successful resolution of these issues leads to a more efficient database workflow, better performance, and resource savings. All application features continue to operate as expected without disruption.

Please review and provide feedback on these changes before we merge them into the main branch.

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