fix(platform): govern geospatial analysis and raster handoffs

backend/app/services/segmentation_service.py

@@ -34,6 +34,7 @@ from app.services.segmentation_adapter import (
     SamSegmentationAdapter,
     YoloSegmentationAdapter,
 )
+from app.services.tile_manifest_service import TileManifestService
 
 
 class SegmentationService:
@@ -749,6 +750,18 @@ class SegmentationService:
         sam_adapter_class: type[SamSegmentationAdapter],
     ) -> tuple[list[Segmentation], dict[str, Any]]:
         manifest = DetectionService._load_tile_manifest(tile_manifest_path, settings.yolo_max_tiles, settings)
+        dataset = db.get(Dataset, dataset_id)
+        if dataset is None:
+            raise AppError(code="DATASET_NOT_FOUND", message="Dataset not found", status_code=404)
+        manifest_binding = TileManifestService.validate_for_inference(
+            db,
+            dataset,
+            manifest,
+            manifest_path=tile_manifest_path or "",
+            settings=settings,
+            error_prefix="SEGMENTATION",
+        )
+        DetectionService._attach_tile_manifest_binding(analysis_run, job, manifest_binding)
         if model_name == settings.sam_model_id:
             model_path = Path(settings.sam_model_path or "").expanduser()
             allowed_frameworks = ("ultralytics/sam", "sam", "ultralytics", "pytorch")
@@ -861,6 +874,7 @@ class SegmentationService:
             "duplicate_iou_threshold": float(settings.segmentation_duplicate_iou_threshold),
             "containment_suppression_threshold": float(settings.segmentation_containment_nms_threshold),
             "tile_manifest_path": str(Path(tile_manifest_path or "").expanduser()),
+            "tile_manifest_binding": manifest_binding,
             "runtime_model_provenance": runtime_model_provenance.as_dict(),
         }