merged main in

cvat-sdk/cvat_sdk/core/proxies/tasks.py

@@ -252,60 +252,6 @@ def download_frames(
             outfile = filename_pattern.format(frame_id=frame_id, frame_ext=im_ext)
             im.save(outdir / outfile)
 
-    def export_dataset(
-        self,
-        format_name: str,
-        filename: StrPath,
-        *,
-        pbar: Optional[ProgressReporter] = None,
-        status_check_period: Optional[int] = None,
-        include_images: bool = True,
-    ) -> None:
-        """
-        Download annotations for a task in the specified format (e.g. 'YOLO ZIP 1.0').
-        """
-
-        filename = Path(filename)
-
-        if include_images:
-            endpoint = self.api.retrieve_dataset_endpoint
-        else:
-            endpoint = self.api.retrieve_annotations_endpoint
-
-        Downloader(self._client).prepare_and_download_file_from_endpoint(
-            endpoint=endpoint,
-            filename=filename,
-            url_params={"id": self.id},
-            query_params={"format": format_name},
-            pbar=pbar,
-            status_check_period=status_check_period,
-        )
-
-        self._client.logger.info(f"Dataset for task {self.id} has been downloaded to {filename}")
-
-    def download_backup(
-        self,
-        filename: StrPath,
-        *,
-        status_check_period: int = None,
-        pbar: Optional[ProgressReporter] = None,
-    ) -> None:
-        """
-        Download a task backup
-        """
-
-        filename = Path(filename)
-
-        Downloader(self._client).prepare_and_download_file_from_endpoint(
-            self.api.retrieve_backup_endpoint,
-            filename=filename,
-            pbar=pbar,
-            status_check_period=status_check_period,
-            url_params={"id": self.id},
-        )
-
-        self._client.logger.info(f"Backup for task {self.id} has been downloaded to {filename}")
-
     def get_jobs(self) -> List[Job]:
         return [
             Job(self._client, model=m)

tests/python/sdk/test_tasks.py

@@ -55,19 +55,6 @@ def fxt_backup_file(self, fxt_new_task: Task, fxt_coco_file: str):
 
         yield backup_path
 
-    @pytest.fixture
-    def fxt_new_task(self, fxt_image_file: Path):
-        task = self.client.tasks.create_from_data(
-            spec={
-                "name": "test_task",
-                "labels": [{"name": "car"}, {"name": "person"}],
-            },
-            resources=[fxt_image_file],
-            data_params={"image_quality": 80},
-        )
-
-        return task
-
     @pytest.fixture
     def fxt_new_task_without_data(self):
         task = self.client.tasks.create(
@@ -345,33 +332,6 @@ def test_can_download_dataset_twice_in_a_row(self, fxt_new_task: Task):
             assert "100%" in pbar_out.getvalue().strip("\r").split("\r")[-1]
             assert path.is_file()
 
-    @pytest.mark.parametrize("include_images, all_images, expected_image_count",
-        [
-            (True, True, 5),
-            (True, False, 1),
-            (False, False, 0),
-        ]
-    )
-    def test_can_download_dataset_multiple_images(self, fxt_task_with_multiple_images: Task, include_images: bool, all_images: bool, expected_image_count: int):
-        pbar_out = io.StringIO()
-        pbar = make_pbar(file=pbar_out)
-
-        task_id = fxt_task_with_multiple_images.id
-        path = self.tmp_path / f"task_{task_id}-cvat.zip"
-        task = self.client.tasks.retrieve(task_id)
-
-        task.export_dataset(
-            format_name="CVAT for images 1.1",
-            filename=path,
-            pbar=pbar,
-            include_images=include_images,
-            all_images=all_images,
-        )
-
-        assert "100%" in pbar_out.getvalue().strip("\r").split("\r")[-1]
-        assert path.is_file()
-        assert self.stdout.getvalue() == ""
-
         with zipfile.ZipFile(path, 'r') as zip_file:
             image_files = [f for f in zip_file.namelist() if f.endswith(('.jpg', '.png', '.jpeg'))]
             assert len(image_files) == expected_image_count