Prepare GeoIntel for public release

backend/app/services/yolo_preflight_service.py

@@ -23,6 +23,8 @@ class YoloPreflightService:
         assume_dependencies: bool = False,
         check_model_load: bool = False,
         model_asset_id: str | None = None,
+        db: Any | None = None,
+        allow_offline_model_load: bool = False,
     ) -> dict[str, Any]:
         resolved_settings = settings or get_settings()
         selected_asset = None
@@ -126,6 +128,21 @@ class YoloPreflightService:
 
         if check_model_load:
             try:
+                if db is not None:
+                    RuntimeModelProvenanceService.validate_for_production_runtime(
+                        db=db,
+                        model_path=model_path,
+                        model_id=resolved_settings.yolo_model_id,
+                        task_type="object_detection",
+                        expected_model_version=resolved_settings.yolo_model_version,
+                        allowed_frameworks=("ultralytics/pytorch", "ultralytics", "pytorch"),
+                    )
+                elif not allow_offline_model_load:
+                    raise AppError(
+                        code="MODEL_PROVENANCE_DATABASE_REQUIRED",
+                        message="Model compatibility loading requires production provenance or an explicit offline operator command.",
+                        status_code=409,
+                    )
                 yolo_adapter_class(resolved_settings).load_model(model_path)
             except AppError as exc:
                 result["status"] = "model_load_failed"