Kevin Turcios 0029a0e76e perf: optimize postprocessing pipeline — eliminate redundant CST codegen (#2526) ... ## Summary - Replace Pydantic frozen dataclass with stdlib `@dataclass(frozen=True)` for `CodeExplanationAndID` and `CodeAndExplanation`, removing `field_validator` that ran `.code` + `compile()` ~280 times per pipeline run - Pre-compute `original_module.code` once and pass to pipeline steps (`clean_extraneous_comments`, `equality_check`) that previously called it independently - Replace `ast.dump(annotate_fields=False)` with `ast.unparse` in `deduplicate_optimizations` (70% faster) - Skip re-parse in `dedup_and_sort_imports` when isort returns unchanged code - Cache comment-stripped original code across candidates in `clean_extraneous_comments` **Pipeline median per-run: ~1.5s → 184ms** (4 candidates, controlled measurement). Saves ~4-5s of CPU per optimization request in production. ## Test plan - [x] All 558 unit tests pass - [x] mypy clean - [x] ruff clean (no new warnings) - [ ] Verify optimizer endpoints return correct results in staging --------- Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>		2026-04-02 19:37:15 -05:00
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aiservice	perf: optimize postprocessing pipeline — eliminate redundant CST codegen (#2526)	2026-04-02 19:37:15 -05:00
.dockerignore	local setup (#1898)	2025-11-17 12:35:09 -08:00