Improve the frontend and fix TODOs

services/production/app/models/production.py

@@ -112,6 +112,7 @@ class ProductionBatch(Base):
     quality_score = Column(Float, nullable=True)
     waste_quantity = Column(Float, nullable=True)
     defect_quantity = Column(Float, nullable=True)
+    waste_defect_type = Column(String(100), nullable=True)  # Type of defect causing waste (burnt, misshapen, underproofed, temperature_issues, expired)
     
     # Equipment and resources
     equipment_used = Column(JSON, nullable=True)  # List of equipment IDs
@@ -123,6 +124,7 @@ class ProductionBatch(Base):
     forecast_id = Column(UUID(as_uuid=True), nullable=True)  # Associated demand forecast
     is_rush_order = Column(Boolean, default=False)
     is_special_recipe = Column(Boolean, default=False)
+    is_ai_assisted = Column(Boolean, default=False)  # Whether batch used AI forecasting/optimization
     
     # Notes and tracking
     production_notes = Column(Text, nullable=True)
@@ -163,6 +165,7 @@ class ProductionBatch(Base):
             "quality_score": self.quality_score,
             "waste_quantity": self.waste_quantity,
             "defect_quantity": self.defect_quantity,
+            "waste_defect_type": self.waste_defect_type,
             "equipment_used": self.equipment_used,
             "staff_assigned": self.staff_assigned,
             "station_id": self.station_id,
@@ -170,6 +173,7 @@ class ProductionBatch(Base):
             "forecast_id": str(self.forecast_id) if self.forecast_id else None,
             "is_rush_order": self.is_rush_order,
             "is_special_recipe": self.is_special_recipe,
+            "is_ai_assisted": self.is_ai_assisted,
             "production_notes": self.production_notes,
             "quality_notes": self.quality_notes,
             "delay_reason": self.delay_reason,