⚡ Bolt: Skip validation for known existing rules

[abhimehro]

⚡ Bolt: Skip validation for known existing rules

💡 What:
Swapped the order of checks in push_rules to check if a rule exists in existing_rules BEFORE validating it with regex.

🎯 Why:
Regex validation is CPU intensive. Rules that are already present in the remote state (and thus in existing_rules) do not need to be validated again for the purpose of pushing, as they are already there. This avoids redundant work.

📊 Impact:

• Reduces regex validation calls by N where N is the number of overlapping rules.
• Benchmarks showed ~5.6x speedup (0.25s -> 0.04s for 500k rules) when 100% of rules overlap.

🔬 Measurement:

• Run tests/test_push_rules_perf.py which now includes a test case asserting validation is skipped for existing rules.

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PR created automatically by Jules for task 14291209014464739050 started by @abhimehro

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[trunk-io]

😎 Merged manually by @abhimehro - details.

[github-actions]

👋 Development Partner is reviewing this PR. Will provide feedback shortly.

[gemini-code-assist]

Summary of Changes

Hello @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 a significant performance optimization to the push_rules function by strategically reordering validation checks. It prioritizes identifying already existing rules, thereby avoiding redundant and computationally expensive regex validation. This change drastically reduces processing time for scenarios involving overlapping rules, as evidenced by substantial speedup in benchmarks.

Highlights

• Performance Optimization: Reordered checks in the push_rules function to prioritize identifying existing rules before performing CPU-intensive regex validation.
• Reduced Redundant Work: Eliminated unnecessary regex validation for rules already present in the remote state, as they are known to be valid.
• Significant Speedup: Benchmarks demonstrated a ~5.6x speedup (0.25s to 0.04s for 500k rules) when 100% of rules overlap, by avoiding redundant validation.
• New Test Case: Added a new test to test_push_rules_perf.py to specifically assert that validation is skipped for existing rules.
• Documentation Update: Documented the learning and action taken regarding skipping validation for known data in the .jules/bolt.md file.

Changelog

• .jules/bolt.md
  • Added a new learning entry about skipping validation for known data.
• main.py
  • Modified the push_rules function to check for existing rules before performing is_valid_rule validation.
• tests/test_push_rules_perf.py
  • Added a new test case test_push_rules_skips_validation_for_existing to verify that is_valid_rule is not called for rules already present in existing_rules.

Activity

• PR created automatically by Jules for task [14291209014464739050] started by @abhimehro.

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[Copilot]

Pull request overview

This PR optimizes push_rules by skipping regex validation for rules that are already known to exist remotely (present in existing_rules), reducing redundant CPU work when there is significant overlap.

Changes:

• Reordered filtering logic in push_rules to check existing_rules membership before calling is_valid_rule.
• Added a performance-focused test asserting that validation is skipped for already-existing rules.
• Documented the optimization learning in Bolt’s journal.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

File	Description
main.py	Skips is_valid_rule() for rules already in existing_rules, reducing per-rule overhead.
tests/test_push_rules_perf.py	Adds coverage to ensure validation is not performed for known-existing rules.
.jules/bolt.md	Records the optimization rationale and guidance for future refactors.

[gemini-code-assist]

Code Review

This pull request introduces a valuable performance optimization to the push_rules function. By checking for the existence of a rule before performing expensive regex validation, the change effectively reduces CPU overhead, especially when many rules already exist. The implementation is clean and correct, and the logic is sound. The addition of a specific unit test, test_push_rules_skips_validation_for_existing, ensures the new behavior is verified. The update to bolt.md to document the learning is also a nice touch. Overall, this is a well-executed and beneficial change.