Download model weights

application/backend/app/api/routers/models.py

@@ -1,9 +1,12 @@
 # Copyright (C) 2025 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
+import io
+import zipfile
 from typing import Annotated
 
 from fastapi import APIRouter, Depends, HTTPException, status
+from fastapi.responses import StreamingResponse
 
 from app.api.dependencies import get_model_service, get_project
 from app.api.schemas import ModelView, ProjectView
@@ -55,6 +58,47 @@ def get_model(
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
 
 
+@router.get(
+    "/{model_id}/binary",
+    responses={
+        status.HTTP_200_OK: {"description": "Model weights in OpenVINO format (zip archive)"},
+        status.HTTP_400_BAD_REQUEST: {"description": "Invalid project or model ID"},
+        status.HTTP_404_NOT_FOUND: {"description": "Project or model not found"},
+    },
+)
+def download_model_binary(
+    project: Annotated[ProjectView, Depends(get_project)],
+    model_id: ModelID,
+    model_service: Annotated[ModelService, Depends(get_model_service)],
+) -> StreamingResponse:
+    """Download trained model weights in OpenVINO format as a zip archive containing model.xml and model.bin files."""
+    try:
+        # Verify the model exists and get the model directory
+        model_dir = model_service.get_model_files_path(project_id=project.id, model_id=model_id)
+
+        # Create an in-memory zip file
+        zip_buffer = io.BytesIO()
+        with zipfile.ZipFile(zip_buffer, mode="w", compression=zipfile.ZIP_DEFLATED) as zip_file:
+            xml_file = model_dir / "model.xml"
+            bin_file = model_dir / "model.bin"
+
+            zip_file.write(xml_file, arcname="model.xml")
+            zip_file.write(bin_file, arcname="model.bin")
+
+        zip_buffer.seek(0)
+
+        # Assume FP16 precision by default
+        filename = f"model-{model_id}-fp16.zip"
+
+        return StreamingResponse(
+            zip_buffer,
+            media_type="application/zip",
+            headers={"Content-Disposition": f'attachment; filename="{filename}"'},
+        )
+    except ResourceNotFoundError as e:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
+
+
 @router.delete(
     "/{model_id}",
     status_code=status.HTTP_204_NO_CONTENT,

application/backend/app/db_seeder.py

@@ -140,7 +140,7 @@ def _create_pipeline_with_video_source(  # noqa: PLR0913
         project_id=project_id,
         sink_id=sink_id,
         data_collection_policies=[FixedRateDataCollectionPolicy(rate=0.1).model_dump(mode="json")],
-        is_running=True,
+        is_running=project_id == "9d6af8e8-6017-4ebe-9126-33aae739c5fa",  # Running only for detection project
     )
 
     pipeline.source = SourceDB(

application/backend/app/services/model_service.py

@@ -6,6 +6,7 @@
 from pathlib import Path
 from uuid import UUID
 
+from loguru import logger
 from sqlalchemy.exc import IntegrityError
 from sqlalchemy.orm import Session
 
@@ -139,3 +140,35 @@ def create_revision(self, metadata: ModelRevisionMetadata) -> None:
                 label_schema_revision=labels_schema_rev,
             )
         )
+
+    def get_model_files_path(self, project_id: UUID, model_id: UUID) -> Path:
+        """
+        Get the directory path containing the model files (model.xml and model.bin).
+
+        Args:
+            project_id (UUID): The unique identifier of the project.
+            model_id (UUID): The unique identifier of the model.
+
+        Returns:
+            Path: The directory path containing the model files.
+
+        Raises:
+            ResourceNotFoundError: If the model directory doesn't exist or required files are missing.
+            FileNotFoundError: If the directories or model files are not found in the expected location.
+        """
+        model_revision = self.get_model(project_id=project_id, model_id=model_id)
+        if model_revision.files_deleted:
+            raise ResourceNotFoundError(ResourceType.MODEL, str(model_id))
+
+        model_dir = self._projects_dir / str(project_id) / "models" / str(model_id)
+        if not model_dir.exists():
+            logger.error("Model directory not found: {}", model_dir)
+            raise FileNotFoundError
+
+        xml_file = model_dir / "model.xml"
+        bin_file = model_dir / "model.bin"
+        if not xml_file.exists() or not bin_file.exists():
+            logger.error("Model files missing in directory: {}", model_dir)
+            raise FileNotFoundError
+
+        return model_dir

application/backend/tests/unit/routers/test_models.py

@@ -110,3 +110,51 @@ def test_delete_model_in_use(self, fxt_get_project, fxt_model_service, fxt_clien
         assert response.status_code == status.HTTP_409_CONFLICT
         assert str(err) == response.json()["detail"]
         fxt_model_service.delete_model.assert_called_once_with(project_id=fxt_get_project.id, model_id=model_id)
+
+    def test_download_model_binary_success(self, fxt_get_project, fxt_model, fxt_model_service, fxt_client, tmp_path):
+        import zipfile
+        from io import BytesIO
+
+        # Create mock model files
+        model_dir = tmp_path / "models" / str(fxt_model.id)
+        model_dir.mkdir(parents=True)
+        xml_content = "<xml>model data</xml>"
+        bin_content = b"binary model data"
+        (model_dir / "model.xml").write_text(xml_content)
+        (model_dir / "model.bin").write_bytes(bin_content)
+
+        fxt_model_service.get_model_files_path.return_value = model_dir
+
+        response = fxt_client.get(f"/api/projects/{fxt_get_project.id}/models/{fxt_model.id}/binary")
+
+        assert response.status_code == status.HTTP_200_OK
+        assert response.headers["content-type"] == "application/zip"
+        assert "content-disposition" in response.headers
+        assert f"model-{fxt_model.id}-fp16.zip" in response.headers["content-disposition"]
+
+        # Verify zip file contents
+        zip_data = BytesIO(response.content)
+        with zipfile.ZipFile(zip_data, "r") as zip_file:
+            assert "model.xml" in zip_file.namelist()
+            assert "model.bin" in zip_file.namelist()
+            assert zip_file.read("model.xml").decode() == xml_content
+            assert zip_file.read("model.bin") == bin_content
+
+        fxt_model_service.get_model_files_path.assert_called_once_with(
+            project_id=fxt_get_project.id, model_id=fxt_model.id
+        )
+
+    def test_download_model_binary_not_found(self, fxt_get_project, fxt_model_service, fxt_client):
+        model_id = uuid4()
+        fxt_model_service.get_model_files_path.side_effect = ResourceNotFoundError(ResourceType.MODEL, str(model_id))
+
+        response = fxt_client.get(f"/api/projects/{fxt_get_project.id}/models/{model_id}/binary")
+
+        assert response.status_code == status.HTTP_404_NOT_FOUND
+        fxt_model_service.get_model_files_path.assert_called_once_with(project_id=fxt_get_project.id, model_id=model_id)
+
+    def test_download_model_binary_invalid_id(self, fxt_get_project, fxt_model_service, fxt_client):
+        response = fxt_client.get(f"/api/projects/{fxt_get_project.id}/models/invalid-id/binary")
+
+        assert response.status_code == status.HTTP_400_BAD_REQUEST
+        fxt_model_service.get_model.assert_not_called()