feat(client): adapt OpenAPI uploadMultiLabel

docs/code/update_dataset.py

@@ -38,10 +38,16 @@
 """"""
 
 """Update label / overwrite label"""
+from tensorbay.label import Classification
+
+dataset = Dataset("<DATASET_NAME>", gas)
 for segment in dataset:
-    segment_client = dataset_client.get_segment(segment.name)
+    update_data = []
     for data in segment:
-        segment_client.upload_label(data)
+        data.label.classification = Classification("NEW_CATEGORY")  # set new label
+        update_data.append(data)
+    segment_client = dataset_client.get_segment(segment.name)
+    segment_client.upload_label(update_data)
 """"""
 
 """Update label / commit dataset"""

docs/source/quick_start/examples/update_dataset.rst

@@ -64,7 +64,7 @@ Update the catalog if needed:
    :start-after: """Update label / update catalog"""
    :end-before: """"""
 
-Overwrite previous labels with new label on dataset:
+Overwrite previous labels with new label:
 
 .. literalinclude:: ../../../../docs/code/update_dataset.py
    :language: python

tensorbay/client/segment.py

@@ -18,6 +18,7 @@
 from tensorbay.client.lazy import LazyPage, PagingList
 from tensorbay.client.status import Status
 from tensorbay.dataset import AuthData, Data, Frame, RemoteData
+from tensorbay.dataset.data import DataBase
 from tensorbay.exception import FrameError, InvalidParamsError, ResourceNotExistError, ResponseError
 from tensorbay.label import Label
 from tensorbay.sensor.sensor import Sensor, Sensors
@@ -328,6 +329,42 @@ def _upload_label(self, data: Union[AuthData, Data]) -> None:
 
         self._client.open_api_do("PUT", "labels", self._dataset_id, json=post_data)
 
+    def _upload_multi_label(self, data: Iterable[DataBase._Type]) -> None:
+        post_data: Dict[str, Any] = {"segmentName": self.name}
+        objects = []
+        for single_data in data:
+            label = single_data.label.dumps()
+            if not label:
+                continue
+
+            remote_path = (
+                single_data.path
+                if isinstance(single_data, RemoteData)
+                else single_data.target_remote_path
+            )
+            objects.append({"remotePath": remote_path, "label": label})
+        post_data["objects"] = objects
+        post_data.update(self._status.get_status_info())
+
+        self._client.open_api_do("PUT", "multi/data/labels", self._dataset_id, json=post_data)
+
+    def upload_label(self, data: Union[DataBase._Type, Iterable[DataBase._Type]]) -> None:
+        """Upload label with Data object to the draft.
+
+        Arguments:
+            data: The data object which represents the local file to upload.
+
+        """
+        self._status.check_authority_for_draft()
+
+        if not isinstance(data, Iterable):
+            data = [data]
+
+        for chunked_data in chunked(data, 128):
+            for single_data in chunked_data:
+                self._upload_mask_files(single_data.label)
+            self._upload_multi_label(chunked_data)
+
     @property
     def name(self) -> str:
         """Return the segment name.
@@ -458,18 +495,6 @@ def upload_file(self, local_path: str, target_remote_path: str = "") -> None:
 
         self._synchronize_upload_info((data.get_callback_body(),))
 
-    def upload_label(self, data: Data) -> None:
-        """Upload label with Data object to the draft.
-
-        Arguments:
-            data: The data object which represents the local file to upload.
-
-        """
-        self._status.check_authority_for_draft()
-
-        self._upload_mask_files(data.label)
-        self._upload_label(data)
-
     def upload_data(self, data: Data) -> None:
         """Upload Data object to the draft.
 

tests/test_label.py

@@ -236,3 +236,43 @@ def test_upload_dataset_with_mask(self, accesskey, url, tmp_path, mask_file):
         assert remote_panoptic_mask.all_category_ids == panoptic_mask.all_category_ids
 
         gas_client.delete_dataset(dataset_name)
+
+    def test_upload_label(self, accesskey, url, tmp_path):
+        gas_client = GAS(access_key=accesskey, url=url)
+        dataset_name = get_dataset_name()
+        gas_client.create_dataset(dataset_name)
+
+        dataset = Dataset(name=dataset_name)
+        segment = dataset.create_segment("Segment1")
+        # When uploading label, upload catalog first.
+        dataset._catalog = Catalog.loads(CATALOG_CONTENTS)
+
+        path = tmp_path / "sub"
+        path.mkdir()
+        local_path = path / "hello.txt"
+        local_path.write_text("CONTENT")
+        data = Data(local_path=str(local_path))
+        data.label = Label.loads(LABEL)
+        segment.append(data)
+
+        dataset_client = gas_client.upload_dataset(dataset)
+        dataset_client.commit("upload dataset with label")
+        dataset = Dataset(dataset_name, gas_client)
+        assert dataset[0][0].label == Label.loads(LABEL)
+
+        dataset_client.create_draft("update label")
+        segment_client = dataset_client.get_segment(segment.name)
+
+        upload_data = []
+        new_label = Label.loads(LABEL)
+        new_label.multi_polygon[0].category = "dog"
+        for data in segment:
+            data.label = new_label
+            upload_data.append(data)
+        segment_client.upload_label(upload_data)
+        dataset_client.commit("update label")
+        dataset = Dataset(dataset_name, gas_client)
+        assert dataset.catalog == Catalog.loads(CATALOG_CONTENTS)
+        assert dataset[0][0].label == new_label
+
+        gas_client.delete_dataset(dataset_name)