ncantu 884a8eed96 fix: Corrections finales et optimisations
- Corrections mineures dans les pipelines
- Optimisations de l'API complète
- Améliorations de la documentation
- Finalisation du système
2025-09-09 04:57:45 +02:00

66 lines
1.8 KiB
Python

"""
Pipeline d'extraction d'entités
"""
import os
import logging
import re
from typing import Dict, Any, List
logger = logging.getLogger(__name__)
def run(doc_id: str, ctx: Dict[str, Any]) -> None:
"""Pipeline d'extraction d'entités"""
logger.info(f"🔍 Extraction d'entités pour le document {doc_id}")
try:
ocr_text = ctx.get("ocr_text", "")
document_type = ctx.get("document_type", "autre")
# Extraction basique
entities = _extract_basic_entities(ocr_text, document_type)
ctx.update({
"extracted_entities": entities,
"entities_count": len(entities)
})
logger.info(f"✅ Extraction terminée pour {doc_id}: {len(entities)} entités")
except Exception as e:
logger.error(f"❌ Erreur extraction {doc_id}: {e}")
ctx["extraction_error"] = str(e)
def _extract_basic_entities(text: str, doc_type: str) -> List[Dict[str, Any]]:
"""Extraction basique d'entités"""
entities = []
# Emails
emails = re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', text)
for email in emails:
entities.append({
"type": "contact",
"subtype": "email",
"value": email,
"confidence": 0.95
})
# Téléphones
phones = re.findall(r'\b0[1-9](?:[.\-\s]?\d{2}){4}\b', text)
for phone in phones:
entities.append({
"type": "contact",
"subtype": "phone",
"value": phone,
"confidence": 0.9
})
# Dates
dates = re.findall(r'\b\d{1,2}[\/\-\.]\d{1,2}[\/\-\.]\d{4}\b', text)
for date in dates:
entities.append({
"type": "date",
"subtype": "generic",
"value": date,
"confidence": 0.8
})
return entities