CI deploy Thu Nov 20 13:41:44 UTC 2025

.gitignore

@@ -2,4 +2,4 @@
 __pycache__
 .idea/
 .data/
-models/
+/models/

coverage.xml

@@ -1,5 +1,5 @@
 <?xml version="1.0" ?>
-<coverage version="7.12.0" timestamp="1763644783956" lines-valid="290" lines-covered="242" line-rate="0.8345" branches-valid="16" branches-covered="7" branch-rate="0.4375" complexity="0">
+<coverage version="7.12.0" timestamp="1763646047739" lines-valid="290" lines-covered="242" line-rate="0.8345" branches-valid="16" branches-covered="7" branch-rate="0.4375" complexity="0">
 	<!-- Generated by coverage.py: https://coverage.readthedocs.io/en/7.12.0 -->
 	<!-- Based on https://raw.githubusercontent.com/cobertura/web/master/htdocs/xml/coverage-04.dtd -->
 	<sources>

src/data/models/__init__.py

@@ -0,0 +1,7 @@
+from .base import Base
+from .predict_logs import PredictLogs
+
+__all__ = [
+    "Base",
+    "PredictLogs",
+]

src/data/models/base.py

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+from sqlalchemy.orm import declarative_base
+
+Base = declarative_base()

src/data/models/predict_logs.py

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+from sqlalchemy import Column, Integer, String, DateTime, JSON, Float, Text
+from datetime import datetime
+from src.data.models.base import Base
+
+class PredictLogs(Base):
+    __tablename__ = "predict_logs"
+
+    id = Column(Integer, primary_key=True, index=True)
+    date = Column(DateTime, default=datetime.utcnow, nullable=False)
+
+    # Input data
+    input_payload = Column(JSON, nullable=False)  # Les données envoyées au modèle
+
+    # Output data
+    prediction_result = Column(JSON, nullable=True)  # Le résultat de la prédiction
+
+    # Metadata
+    processing_time_ms = Column(Float, nullable=True)  # Temps de traitement en ms
+    status = Column(String(20), default="success")  # success, error, timeout
+    error_message = Column(Text, nullable=True)  # Message d'erreur si applicable