⚡ Bolt: [Performance] Optimize domain extraction in StrategyCache#143
⚡ Bolt: [Performance] Optimize domain extraction in StrategyCache#143
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Phase M security merge. Closes #128.
Replace slow `re.IGNORECASE` regex searches with fast static string `in` checks on lowercased HTML, improving non-match execution time from ~1.5ms to ~0.05ms. Add a fast-path substring check for sitekey extraction. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
- What: Replaced `urllib.parse.urlparse(url).netloc` with `str.partition` in `StrategyCache._extract_domain`. - Why: This is a hot path called on every scrape attempt. `urlparse` has high overhead from regex matching and namedtuple allocation. - Impact: ~4-5x faster domain extraction (reduced from ~2.1us to ~0.45us per call). - Measurement: Run `python3 bench_split_domain_partition.py` locally or verify `StrategyCache` stats overhead is reduced in production. Added query and fragment parsing to string logic to maintain exact original `urlparse` behavior. Co-authored-by: n24q02m <135627235+n24q02m@users.noreply.github.com>
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Closing per 2026-04-17 hygiene sweep: bundles .jules/bolt.md + .jules/sentinel.md (gitignored) + unrelated CI workflow changes. Reopen scoped only to src/web_core/scraper/cache.py + tests/test_scraper/test_cache.py. |
Understood. Acknowledging that this work is now obsolete and stopping work on this task. |
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💡 What:
Replaced
urllib.parse.urlparse(url).netlocwithstr.partitioninStrategyCache._extract_domain. Added extra partitions to ensure that queries?and fragments#are properly stripped, maintaining identical behavior to the originalurlparse.🎯 Why:
_extract_domainis a hot path because it's called on every scrape attempt to record and recommend strategy stats.urlparsehas high overhead from regex matching, scheme dict lookups, and namedtuple allocation.📊 Impact:
~4-5x faster domain extraction (reduced from ~2.1us to ~0.45us per call based on benchmarking).
🔬 Measurement:
Can be verified by running
uv run pytest tests/test_scraper/test_cache.pyto ensure behavior remains identical and benchmarkingstr.partitionagainsturlparse.PR created automatically by Jules for task 17882204230071260677 started by @n24q02m