⚡ Bolt: [performance improvement] Parallelize GitHub API requests in agent sweep - #1066
⚡ Bolt: [performance improvement] Parallelize GitHub API requests in agent sweep#1066seonghobae wants to merge 2 commits into
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…agent sweep 💡 What: Refactored `list_recent_pull_requests` in `agent_mention_sweep.py` to use `concurrent.futures.ThreadPoolExecutor` bounded by `max_workers=10`. This changes the API calls for fetching pull requests per repository from a sequential iteration to parallel execution, returning the collected results. We ensured safe operation by managing the ThreadPoolExecutor manually with a try/finally block for cleanup instead of using a context manager, preventing hangs. 🎯 Why: To fix an N+1 API bottleneck where the script processes multiple repositories sequentially. 📊 Impact: Reduces total PR fetching time significantly (potentially by up to ~10x) for environments with multiple accessible repositories, lowering overall script latency. 🔬 Measurement: Total script execution time can be benchmarked with a large pool of accessible repositories comparing before and after the patch. We ran the test suite (`pytest tests/`) and maintained 100% line coverage for the target file.
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…agent sweep 💡 What: Refactored `list_recent_pull_requests` in `agent_mention_sweep.py` to use `concurrent.futures.ThreadPoolExecutor` bounded by `max_workers=10`. This changes the API calls for fetching pull requests per repository from a sequential iteration to parallel execution, returning the collected results. Added missing docstring to `fetch_repo_prs` function to pass `interrogate` coverage. 🎯 Why: To fix an N+1 API bottleneck where the script processes multiple repositories sequentially. 📊 Impact: Reduces total PR fetching time significantly (potentially by up to ~10x) for environments with multiple accessible repositories, lowering overall script latency. 🔬 Measurement: Maintained 100% `interrogate` and test line coverage for the target file. Test suite passes successfully.
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Current-head triage for e5d0cf2: the PR is DIRTY against stale base c47afc2 and has no current review decision. The focused current-main implementation has been validated and published as successor PR #1144 (head 9e5d783), which also retains the shell=False security hardening and valid workflow concurrency. No stale branch was force-pushed, approved, or merged. |
Understood. Acknowledging that this work is now obsolete and superseded by PR #1144, stopping work on this task. |
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Superseded by #1144. #1066 parallelizes repository fanout with 10 workers on an old/conflicting base; #1144 is the current-main successor with four bounded standard-library workers, deterministic ordering, generator cancellation, explicit |
Understood. Acknowledging that this work is now obsolete and superseded by PR #1144, stopping work on this task. |
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Closing as superseded by the focused current-main successor #1144. This branch is based on obsolete |
Understood. Acknowledging that this work is now obsolete and superseded by PR #1144, stopping work on this task. |
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💡 What: Refactored
list_recent_pull_requestsinagent_mention_sweep.pyto useconcurrent.futures.ThreadPoolExecutorbounded bymax_workers=10. This changes the API calls for fetching pull requests per repository from a sequential iteration to parallel execution, returning the collected results. We ensured safe operation by managing the ThreadPoolExecutor manually with a try/finally block for cleanup instead of using a context manager, preventing hangs.🎯 Why: To fix an N+1 API bottleneck where the script processes multiple repositories sequentially.
📊 Impact: Reduces total PR fetching time significantly (potentially by up to ~10x) for environments with multiple accessible repositories, lowering overall script latency.
🔬 Measurement: Total script execution time can be benchmarked with a large pool of accessible repositories comparing before and after the patch. We ran the test suite (
pytest tests/) and maintained 100% line coverage for the target file.PR created automatically by Jules for task 2018896077901014550 started by @seonghobae