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Fin-Maestro-Kin v0.3.1

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@devfinwiz devfinwiz released this 12 May 11:17
v0.3.1
cc4b276
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Learn about vigilant mode.

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Summary

Version v0.3.1 introduces significant enhancements, including the implementation of an optimized caching strategy for Trend Detector module, resolution of a critical startup issue, and the addition of graceful shutdown functionality for Redis. These improvements aim to optimize performance, reliability, and resource utilization.

Changes Made

  1. Optimized Caching for Trend Detector Module:

    • Contributed by @devfinwiz in PR-35.
    • Implemented an optimized caching strategy to improve response times and reduce computational overhead for the Trend Detector module.
    • Utilized a dynamic cache expiration mechanism based on the time until the next data update from the data source.
    • Calculated the expiration time dynamically based on the time remaining until the next scheduled data update, ensuring users have access to the latest trend analysis results.
    • Leveraged Redis for caching, facilitating efficient storage and retrieval of cached data.

  2. Fix for Container Startup Issue:

    • Contributed by @devfinwiz in PR-35.
    • Resolved a critical issue causing the container to exit immediately after startup due to a problem in the entrypoint script.
    • Adjusted the entrypoint script to ensure smooth container startup and operation, improving overall reliability.

  3. Graceful Shutdown for Redis:

    • Contributed by @devfinwiz in PR-35.
    • Added graceful shutdown functionality for Redis to maintain data integrity during container shutdown.
    • Implemented a script (shutdown.sh) to stop Redis gracefully before the container stops, ensuring proper handling of cached data.

  4. Cleaning of Responses from Screener Related Endpoints:

    • Contributed by @SuyashDM in PR-34.
    • Implemented cleaning of responses from screener-related endpoints to ensure consistency and readability of the output.
    • Removed unnecessary information and formatted responses to improve user experience.

Impact

  • Improved Performance: The implementation of the optimized caching strategy enhances response times and reduces computational overhead, improving overall performance for trend analysis.
  • Enhanced Reliability: The resolution of the container startup issue ensures smooth operation and prevents unexpected exits, enhancing application reliability.
  • Data Integrity: Graceful shutdown functionality for Redis ensures data integrity by properly handling cached data before container shutdown.

Docker Image Update

  • Pushed an updated Docker image with version v0.3.1, tagged as latest, ensuring users have access to the most recent version of the application with the latest enhancements and fixes.

Contributors

Assets 2