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⚡ Bolt: Cache compilation of clinical context lexicons #41

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⚡ Bolt: Cache compilation of clinical context lexicons #41

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3 changes: 3 additions & 0 deletions .jules/bolt.md
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## 2024-08-29 - [Cache deterministic regex compilations]
**Learning:** Deterministic regular expression compilation during text processing (e.g. NLP tasks) creates significant overhead when performed repeatedly, blocking the CPU. The `openmed.clinical.context` module builds heavy and complex alternated regular expressions out of cue lexicons over and over.
**Action:** When working on NLP pipelines, aggressively identify regex compilation and text span transformations. Memoize expensive object constructions (like `_compiled_context_lexicon`) using `functools.lru_cache` to drastically reduce processing time.
2 changes: 2 additions & 0 deletions openmed/openmed/clinical/context.py
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from dataclasses import dataclass, replace
from datetime import date
from typing import Any, Literal
from functools import lru_cache

from openmed.clinical.lexicons import (
ClinicalCueLexicon,
Expand Down Expand Up @@ -154,6 +155,7 @@ class _CompiledContextLexicon:
backward_context_cues: frozenset[str]


@lru_cache(maxsize=32)
def _compiled_context_lexicon(language: str | None = None) -> _CompiledContextLexicon:
lexicon = get_clinical_cue_lexicon(language)
token_boundaries = lexicon.token_boundaries
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