f70d138db3
Initial commit with full extraction pipeline: PDF OCR (docTR), text segmentation, LLM extraction (Ollama), deterministic post-processing normalizer, validation, and Excel/CSV export. The normalizer fixes OCR/LLM errors on CIM-10 codes: - OCR digit→letter confusion in position 1 (1→I, 0→O, 5→S, 2→Z, 8→B) - Missing dot separator (F050→F05.0, R410→R41.0) - '+' instead of '.' (B99+1→B99.1, J961+0→J96.10) - Excess decimals (Z04.880→Z04.88) - OCR letter→digit in positions 2-3 (LO2.2→L02.2) - Literal "null" string purge - Auto-fill codes_retenus from decision context Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
7 lines
169 B
Python
7 lines
169 B
Python
import sys
|
|
from pathlib import Path
|
|
|
|
_project_root = str(Path(__file__).resolve().parent.parent)
|
|
if _project_root not in sys.path:
|
|
sys.path.insert(0, _project_root)
|