Redis Caching for Performance Boosting in Contest Analysis Page #126 Issue Resolved

Description:

Installed and configured Redis.
Integrated Redis into the Flask API.
Cached API responses with contest IDs as keys.
Set cache expiration times.
Modified API endpoints to check Redis first for data.
No changes beyond what was instructed.
Testing results show improved performance.

Documentation:

1st Install redis in your system
Then Install redis using pip3 install redis
And then running the command python app.py you can run that newly added file.

Testing:

Ran extensive tests to ensure Redis caching works correctly.
Added new tests to cover caching and cache expiration.
Verified significant performance improvements.

Screenshots:

![Performance Comparison]

PR Comment: Hey everyone,

I've implemented Redis caching as requested in Issue #126 to improve the performance of the Contest Analysis Page. Here's a summary of the work:

Redis was installed and configured on the server.
The Flask API was updated to incorporate Redis for caching.
API responses are now stored in Redis using contest IDs as keys.
Cache expiration times were set to ensure data stays fresh.
API endpoints were modified to prioritize Redis data, falling back to the API when data is not found or expired.

I followed the provided instructions diligently and made no changes beyond what was specified. The performance testing results are promising, with notable speed enhancements.Normal Api requests are taking more than 15 sec and redis api calls are taking less than 100ms.

As requested, I plan to star the project to support its credibility.

Thank you for considering this pull request! 🚀

Branch Selection:

The PR is generated against the main branch of the repository.

Open-conversion Section:

I express my interest in the open-conversion section as per the provided instructions.

Algolisted-Org / AlgoListed

Redis Caching for Performance Boosting in Contest Analysis Page #126 Issue Resolved #156