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perf: optimize context extraction with caching and import pre-filtering #1921
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⚡️Codeflash found 34% (0.34x) speedup for
_collect_dst_referenced_namesincodeflash/languages/python/static_analysis/code_extractor.py⏱️ Runtime :
47.4 milliseconds→35.5 milliseconds(best of5runs)⚡️ This change will improve the performance of the following benchmarks:
🔻 This change will degrade the performance of the following benchmarks:
{benchmark_info_degraded}
📝 Explanation and details
The function replaced
ast.walk(a generator that yields every node) with an explicit stack-based traversal that skips subtrees early when type checks fail and avoids redundantisinstancecalls by pre-binding type constants (NameType,AttributeType, etc.). It also introduced a local cache for parsed string annotations (_str_parse_cache) to avoid reparsing identical type-hint strings—profiler data shows this eliminated repeatedast.parseoverhead inside the constant-string handling branch. Manual field iteration via_fieldsandgetattrreplaces the generator's internal iteration, cutting per-node dispatch cost from ~2961 ns to ~129 ns in the hot loop (line profiler confirms the main traversal loop dropped from 56.5% to 2.8% of runtime). The 33% speedup justifies the slightly longer code.✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
⏪ Click to see Replay Tests
benchmarks/codeflash_replay_tests_pj5gk87v/test_tests_benchmarks_test_benchmark_code_extract_code_context__replay_test_0.py::test_codeflash_languages_python_static_analysis_code_extractor__collect_dst_referenced_names_test_benchmark_extractTo test or edit this optimization locally
git merge codeflash/optimize-pr1921-2026-03-27T21.35.30Click to see suggested changes