⚡ Bolt: Concurrent PR check optimization#65
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Replaces sequential PR checks with ThreadPoolExecutor map to resolve N+1 sequential execution delays due to slow `gh` CLI subprocess calls. Expected performance impact: N times faster for N PRs (capped at 10 max workers). Co-authored-by: xbmc4lyfe <273732874+xbmc4lyfe@users.noreply.github.com>
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📝 WalkthroughSummary by CodeRabbitRelease NotesPerformance
WalkthroughThis PR optimizes PR state validation by replacing sequential CLI checks with concurrent parallel execution. The ChangesConcurrent PR State Checking
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
✨ Simplify code
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| with concurrent.futures.ThreadPoolExecutor(max_workers=min(10, len(pr_numbers))) as executor: | ||
| for pr, still_open, error_msg in executor.map(_check, pr_numbers): |
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When GitHub returns a rate-limit or secondary-rate-limit response for these gh pr view probes, each worker can enter the existing 300s retry sleep in ralph_loop/gh_ops.py (lines 78-87), and the executor context waits for all futures before any PR child is spawned. In --all-prs runs with several PRs, this concurrent burst can therefore stall the whole supervisor pre-launch and retry in lockstep; the old serial loop only had one gh command in that backoff path. Consider throttling these probes or treating rate-limit failures serially so fan-out does not amplify the retry loop it is trying to optimize.
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💡 What: Converted sequential
_pr_is_still_openchecks inside_filter_to_still_open_prsto execute concurrently usingconcurrent.futures.ThreadPoolExecutor.🎯 Why: Subprocess calls to the GitHub CLI (
gh) are a significant bottleneck. Executing them sequentially caused an N+1 execution delay that slowed down the fan-out spawn filtering process linearly with the number of open PRs.📊 Impact: Expected to run N times faster for N PRs, capped by a
max_workerslimit of 10.🔬 Measurement: Verify by executing
_filter_to_still_open_prswith a list of multiple PRs and measuring the time taken with and without the patch.PR created automatically by Jules for task 9223630002139023667 started by @xbmc4lyfe