⚡ Bolt: Optimize cache I/O and rule processing loop#413
⚡ Bolt: Optimize cache I/O and rule processing loop#413
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Removed `indent=2` from cache serialization to reduce file size and I/O time. Optimized `push_rules` loop by hoisting `append` and `sanitize_for_log` calls. Updated `bolt.md` with new learnings. Co-authored-by: abhimehro <84992105+abhimehro@users.noreply.github.com>
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🚫 This pull request was closed by @abhimehro, so it was removed from the merge queue. See more details here. |
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Summary of ChangesHello @abhimehro, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces performance optimizations aimed at reducing disk I/O and CPU overhead within the Bolt system. Key changes include streamlining JSON serialization for the disk cache by removing pretty-printing, which significantly reduces file size and write times. Additionally, a critical rule processing loop has been optimized by hoisting invariant computations and method lookups, leading to a slight but measurable reduction in CPU usage, particularly when handling large numbers of rules. Highlights
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Pull request overview
This PR focuses on small performance improvements in two hot areas of the codebase: disk cache serialization and the rule filtering loop used when pushing rules to the API.
Changes:
- Remove pretty-printing (
indent=2) fromsave_disk_cache()to reduce cache file size and write overhead. - Micro-optimize
push_rules()by hoisting invariant computations (sanitized_folder_name) and method lookups (append = filtered_hostnames.append) out of the per-rule loop. - Add an internal Bolt learning note documenting the JSON serialization optimization.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
main.py |
Reduces disk cache write size/CPU and slightly tightens the push_rules hot loop by avoiding repeated lookups/sanitization. |
.jules/bolt.md |
Documents the rationale/learning for avoiding JSON pretty-printing in internal cache files. |
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Code Review
The pull request optimizes cache I/O by removing indent=2 from json.dump and improves rule processing loop efficiency by hoisting invariant computations and method lookups. These changes are well-justified and contribute to better performance. The addition of a new learning entry in .jules/bolt.md is also a good practice for documenting performance insights.
| **Learning:** Python's `ThreadPoolExecutor` incurs measurable overhead (thread creation/shutdown) when created/destroyed repeatedly inside loops, even with small worker counts. | ||
| **Action:** Lift `ThreadPoolExecutor` creation to the highest possible scope and pass it down as a dependency (using `contextlib.nullcontext` for flexible ownership). | ||
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| ## 2026-02-19 - [Minimize JSON Serialization Overhead] |
Check notice
Code scanning / Remark-lint (reported by Codacy)
Warn when references to undefined definitions are found. Note
| **Learning:** Python's `ThreadPoolExecutor` incurs measurable overhead (thread creation/shutdown) when created/destroyed repeatedly inside loops, even with small worker counts. | ||
| **Action:** Lift `ThreadPoolExecutor` creation to the highest possible scope and pass it down as a dependency (using `contextlib.nullcontext` for flexible ownership). | ||
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| ## 2026-02-19 - [Minimize JSON Serialization Overhead] |
Check notice
Code scanning / Remark-lint (reported by Codacy)
Warn when shortcut reference links are used. Note
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🤖 Automated PR Review — Closing due to merge conflict This PR has a merge conflict with The optimizations here (remove |
Understood. Acknowledging that this work is now obsolete and stopping work on this task. I will re-submit as a fresh PR against current |
💡 What:
indent=2fromjson.dumpinsave_disk_cache.push_rulesloop inmain.pyby hoisting invariant computations (sanitize_for_log(folder_name)) and method lookups (append = list.append).🎯 Why:
push_rulesloop processes thousands of rules. Avoiding repeated method lookups and redundant string sanitization (in the rare case of unsafe rules) reduces CPU overhead in the hot path.📊 Impact:
🔬 Measurement:
pytest tests/(all pass).PR created automatically by Jules for task 5876851658763575946 started by @abhimehro