⚡ Bolt: [performance improvement] Memoize regex compilations in ConText lexicon - #44
⚡ Bolt: [performance improvement] Memoize regex compilations in ConText lexicon#44zrt219 wants to merge 1 commit into
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Optimizes the `_compiled_context_lexicon` function in `openmed.clinical.context` by wrapping it with `@functools.lru_cache(maxsize=None)` and ensuring immutability with `types.MappingProxyType`. This prevents compiling identical and complex regex patterns multiple times across different span resolutions, significantly improving performance for heavy clinical document evaluation pipelines. Co-authored-by: zrt219 <199104500+zrt219@users.noreply.github.com>
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💡 What: Added memoization to
_compiled_context_lexiconinsideopenmed/openmed/clinical/context.pyusing@functools.lru_cache(maxsize=None), and safely wrapped the dictionary returned by_cue_category_lookupinto atypes.MappingProxyTypeto prevent downstream mutation errors. Added a journal entry to.jules/bolt.md.🎯 Why: The function repeatedly parses arrays of text cues and dynamically builds complex regex patterns without any caching. This function is called extensively within the context resolution lifecycle (e.g.
resolve_temporality,resolve_uncertainty, etc).📊 Impact: Massively reduces overhead by skipping regex rebuilds. Speeds up clinical text extraction by eliminating constant
re.compile()calls for every cue check.🔬 Measurement: Benchmark
resolve_span_contextoverhead or run end-to-end integration tests over large documents, which should see a drastic CPU usage reduction in pattern compiling functions.PR created automatically by Jules for task 5828637516621425941 started by @zrt219