⚡ Bolt: Optimize O(N*M) loop to O(N) dict lookup in material extraction#142
⚡ Bolt: Optimize O(N*M) loop to O(N) dict lookup in material extraction#142glacy wants to merge 1 commit into
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Identified and optimized two identical O(N*M) nested loops in `evolutia/material_extractor.py` (`get_all_exercises`) and `evolutia/rag/rag_indexer.py` (`index_materials`) where the code was mapping exercises to their corresponding solutions using linear searches. These loops were replaced with an O(N) approach by pre-computing a lookup dictionary `solutions_by_label`. This significantly improves the scaling behavior for materials containing many exercises and solutions. The refactor carefully preserves the original "first-match" semantics of the `break` statement by conditionally populating the dictionary: `if sol['exercise_label'] not in solutions_by_label:`. Co-authored-by: glacy <1131951+glacy@users.noreply.github.com>
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Pull request overview
This PR optimizes solution lookup during material extraction and RAG indexing by replacing per-exercise linear searches over solutions with a precomputed solutions_by_label dict, reducing mapping from O(N*M) to O(N+M) while preserving “first-match” semantics for duplicate labels.
Changes:
- Precompute
solutions_by_labelinMaterialExtractor.get_all_exercisesto avoid nested loops. - Precompute
solutions_by_labelinRAGIndexer.index_materialsto avoid nested loops. - Additional formatting/cleanup adjustments applied in both touched modules.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
evolutia/material_extractor.py |
Builds a per-material dict for solution lookup in get_all_exercises; also includes cache-related edits in the same file. |
evolutia/rag/rag_indexer.py |
Builds a per-material dict for solution lookup in index_materials; also includes refactors/formatting in embedding/chunking code paths. |
Comments suppressed due to low confidence (1)
evolutia/material_extractor.py:331
_is_cache_validactualmente ignora la información del caché (no usa el entry salvo para comprobar existencia) y depende destat()del archivo. Esto rompe el objetivo de “cachear errores para evitar reintentos fallidos” (si el archivo no existe,stat()falla y siempre retorna False) y no aplica_cache_ttl. Confile_mtime/cached_aten el entry, se puede validar por TTL y mtime sin forzarstat()para entradas de error.
_ = self._file_cache[file_path]
file_mtime = file_path.stat().st_mtime
# Usar el timestamp de escaneo más reciente para verificar
if file_mtime > self._last_scan_timestamp:
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| self._file_cache[file_path] = { | ||
| 'data': result, | ||
| 'timestamp': file_path.stat().st_mtime | ||
| "data": result, | ||
| "timestamp": file_path.stat().st_mtime, | ||
| } |
| elif self.embedding_provider == "sentence-transformers": | ||
| return self.embedding_model.encode( | ||
| texts, show_progress_bar=True, batch_size=32 | ||
| ).tolist() |
| self._file_cache[file_path] = { | ||
| 'data': error_result, | ||
| 'timestamp': time.time() # Usar tiempo actual para archivos que no existen | ||
| "data": error_result, | ||
| "timestamp": time.time(), # Usar tiempo actual para archivos que no existen | ||
| } |
💡 What: Replaced two identical O(N*M) nested loops in
get_all_exercises(evolutia/material_extractor.py) andindex_materials(evolutia/rag/rag_indexer.py) with an O(N) approach using a pre-computed dictionary lookup (solutions_by_label).🎯 Why: The original implementation mapped solutions to exercises using a linear search over the
solutionsarray for eachexercise. This results in quadratic time complexity (O(N*M)) which scales poorly when processing materials with a large number of exercises and solutions.📊 Impact: Reduces time complexity of solution mapping from O(N*M) to O(N+M), significantly speeding up material extraction and RAG index generation for large datasets.
🔬 Measurement: The change was thoroughly verified using the existing test suite (
pytest tests/) ensuring no behavioral regressions. Thesolutions_by_labelmapping was intentionally implemented to preserve the original "first-match"breakbehavior in the event of duplicate labels. LF line endings and codebase formatting (black,ruff) were maintained.PR created automatically by Jules for task 4559772483844363549 started by @glacy