Implementing rate limit handling and improved multi threaded performa… #5
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Pull request overview
This PR implements rate limit handling and improves multi-threaded performance for the Cloudsmith Docker Sleuth tool, which analyzes multi-architecture Docker images in Cloudsmith repositories. The changes add proactive rate limit monitoring using API response headers and implements concurrent processing of images, tags, and package deletions.
Key Changes:
- Added comprehensive rate limit handling in
make_request()function with proactive throttling and 429 error retry logic - Implemented ThreadPoolExecutor-based parallelism for fetching tag data, untagged images, and processing multiple images
- Added batched deletion operations with concurrency controls for cleaning up untagged manifest lists
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Implementing rate limit handling and improved multi-threaded performance.