Persist map area selection exports

backend/app/api/routes/exports.py

@@ -16,6 +16,16 @@ router = APIRouter(prefix="/exports", tags=["exports"])
 
 @router.post("/geojson", response_model=dict)
 def export_geojson(payload: GeoJsonExportRequest, db: Session = Depends(get_db)):
+    if payload.export_kind == "vector_selection" and payload.dataset_id is not None and payload.bbox is not None:
+        return envelope(
+            ExportService.export_vector_selection_geojson(
+                db,
+                payload.dataset_id,
+                payload.bbox.model_dump(),
+                limit=payload.limit,
+                name=payload.name,
+            ).model_dump(mode="json")
+        )
     if payload.export_kind == "detection_run" and payload.analysis_run_id is not None:
         return envelope(
             ExportService.export_detection_run_geojson(db, payload.analysis_run_id, payload.name).model_dump(mode="json")

backend/app/schemas/export.py

@@ -6,8 +6,10 @@ from uuid import UUID
 
 from pydantic import BaseModel, model_validator
 
+from app.schemas.operations import VectorSelectionBBox
 
-ExportKind = Literal["dataset", "detection_run", "segmentation_run"]
+
+ExportKind = Literal["dataset", "detection_run", "segmentation_run", "vector_selection"]
 
 
 class GeoJsonExportRequest(BaseModel):
@@ -15,11 +17,18 @@ class GeoJsonExportRequest(BaseModel):
     analysis_run_id: UUID | None = None
     export_kind: ExportKind = "dataset"
     name: str | None = None
+    bbox: VectorSelectionBBox | None = None
+    limit: int = 250
 
     @model_validator(mode="after")
     def validate_target(self) -> "GeoJsonExportRequest":
         if self.export_kind == "dataset" and self.dataset_id is None:
             raise ValueError("dataset_id is required for dataset GeoJSON exports")
+        if self.export_kind == "vector_selection":
+            if self.dataset_id is None:
+                raise ValueError("dataset_id is required for vector selection GeoJSON exports")
+            if self.bbox is None:
+                raise ValueError("bbox is required for vector selection GeoJSON exports")
         if self.export_kind in {"detection_run", "segmentation_run"} and self.analysis_run_id is None:
             raise ValueError("analysis_run_id is required for run GeoJSON exports")
         return self

backend/app/services/export_service.py

@@ -16,9 +16,54 @@ from app.services.dataset_service import DatasetService
 from app.services.detection_service import DetectionService
 from app.services.segmentation_service import SegmentationService
 from app.services.storage_service import StorageService
+from app.services.vector_feature_service import VectorFeatureService
 
 
 class ExportService:
+    @staticmethod
+    def export_vector_selection_geojson(
+        db: Session,
+        dataset_id: uuid.UUID,
+        bbox: dict[str, Any],
+        limit: int = 250,
+        name: str | None = None,
+    ) -> ExportCreateResponse:
+        dataset = db.get(Dataset, dataset_id)
+        if not dataset:
+            raise AppError(code="DATASET_NOT_FOUND", message="Dataset not found", status_code=404)
+        if dataset.dataset_type not in DatasetService.VECTOR_TYPES:
+            raise AppError(
+                code="INVALID_DATASET_TYPE",
+                message="Vector selection export requires a vector dataset",
+                details={"dataset_type": dataset.dataset_type},
+                status_code=400,
+            )
+
+        selection = VectorFeatureService.select_features_by_bbox(db, dataset_id=dataset_id, bbox=bbox, limit=limit)
+        filename = ExportService._filename(name, f"{dataset.id}-selection.geojson", ".geojson")
+        export_path = StorageService.dataset_export_path(str(dataset.project_id), str(dataset.id), filename)
+        metadata = {
+            "source": "vector_selection",
+            "project_id": str(dataset.project_id),
+            "dataset_id": str(dataset.id),
+            "dataset_type": dataset.dataset_type,
+            "selection_bbox": selection["selection_bbox"],
+            "feature_count": selection["feature_count"],
+            "limit": selection["limit"],
+            "truncated": selection["truncated"],
+            "source_table": "vector_features",
+        }
+        export = ExportService._write_json_export(
+            db,
+            project_id=dataset.project_id,
+            analysis_run_id=None,
+            export_type="vector_selection_geojson",
+            storage_path=export_path,
+            content=selection["geojson"],
+            metadata=metadata,
+        )
+        return ExportService._create_response(export)
+
     @staticmethod
     def export_dataset_geojson(db: Session, dataset_id: uuid.UUID, name: str | None = None) -> ExportCreateResponse:
         dataset = db.get(Dataset, dataset_id)