⚡ Bolt: Parallelize API calls and optimize date filtering#21
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…port workflow This change improves the performance of the daily activity report GitHub Action by: 1. Parallelizing independent GitHub API calls (commits, PRs, issues) using `Promise.all`. 2. Pre-calculating the `sinceDate` object to avoid redundant `new Date()` allocations and string parsing inside the filter loop. Expected Impact: - Reduces total script execution time by parallelizing network I/O. - Minimizes CPU overhead and memory allocations during data filtering. Co-authored-by: Jobayer-c8 <290884056+Jobayer-c8@users.noreply.github.com>
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This pull request adds a new markdown file .jules/bolt.md documenting learnings and actions regarding parallelizing sequential GitHub API calls using Promise.all and optimizing date filtering by avoiding creating Date objects inside loops. There are no review comments, and I have no feedback to provide.
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I have optimized the
daily-activity-report.lock.ymlworkflow by parallelizing the GitHub API calls and pre-calculating thesinceDateobject used in the pull request filter.💡 What:
awaitcalls withPromise.allfor fetching commits, pull requests, and issues.new Date(since)out of the.filter()callback to a single pre-calculatedsinceDatevariable.🎯 Why:
Dateobjects inside a filter is inefficient, especially as the number of pull requests grows.📊 Impact:
🔬 Measurement:
node --checkafter extracting the script block.PR created automatically by Jules for task 3697056046783346498 started by @Jobayer-c8