Create backend/app/models.py

backend/app/models.py

@@ -0,0 +1,32 @@
+from sqlalchemy import Column, Integer, String, Float, DateTime, Text
+from sqlalchemy.sql import func
+
+from .db import Base
+
+
+class ExtractionRecord(Base):
+    """
+    Stores one extraction run so the History page can show past jobs.
+    We’ll fill it from the /api/extract endpoint later.
+    """
+
+    __tablename__ = "extractions"
+
+    id = Column(Integer, primary_key=True, index=True)
+
+    file_name = Column(String, index=True)
+    file_type = Column(String)
+    file_size = Column(String)
+
+    status = Column(String)              # "completed" | "failed"
+    confidence = Column(Float)           # overall confidence (0–100)
+    fields_extracted = Column(Integer)   # number of fields extracted
+    total_time_ms = Column(Integer)      # total processing time in ms
+
+    raw_output = Column(Text)            # JSON string from the model
+    error_message = Column(Text, nullable=True)
+
+    created_at = Column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+    )