feat: T2A-Extractor pipeline with CIM-10 normalizer (31→0 warnings)

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>

config.py

@@ -0,0 +1,44 @@
+"""
+Configuration T2A Extractor
+"""
+from pathlib import Path
+
+# === Ollama ===
+OLLAMA_BASE_URL = "http://localhost:11434"
+OLLAMA_MODEL = "gemma3:27b-cloud"  # À adapter selon le tag exact
+OLLAMA_TIMEOUT = 120  # secondes par requête
+OLLAMA_MAX_RETRIES = 2
+
+# === OCR (docTR) ===
+DOCTR_DET_ARCH = "db_resnet50"
+DOCTR_RECO_ARCH = "crnn_vgg16_bn"
+OCR_DPI = 200  # résolution pour conversion page → image
+OCR_MIN_CONFIDENCE = 0.5  # seuil de confiance minimum docTR
+
+# === Extraction PDF ===
+# Seuil de caractères pour considérer une page comme "native"
+# (certaines pages scannées ont quelques caractères parasites)
+NATIVE_TEXT_MIN_CHARS = 50
+
+# === Schéma de sortie ===
+OUTPUT_COLUMNS = [
+    "champ",
+    "num_ogc",
+    "type_desaccord",
+    "codes_etablissement",
+    "libelle_etablissement",
+    "codes_controleurs",
+    "libelle_controleurs",
+    "decision_ucr",
+    "codes_retenus",
+    "ghm_ghs",
+    "texte_decision",
+]
+
+# Valeurs autorisées pour les enums
+DECISION_VALUES = ["Favorable", "Défavorable"]
+TYPE_DESACCORD_VALUES = ["DP", "DAS", "DP+DAS", "Actes"]
+
+# === Chemins ===
+PROJECT_ROOT = Path(__file__).parent
+DEFAULT_OUTPUT_DIR = PROJECT_ROOT / "output"