[PLT-1008] Export content parses incorrectly

libs/labelbox/src/labelbox/schema/data_row.py

@@ -356,7 +356,6 @@ def _export(
         res = client.execute(create_task_query_str,
                              query_params,
                              error_log_key="errors")
-        print(res)
         res = res[mutation_name]
         task_id = res["taskId"]
         is_streamable = res["isStreamable"]

libs/labelbox/src/labelbox/schema/export_task.py

@@ -114,9 +114,11 @@ class JsonConverter(Converter[JsonConverterOutput]):  # pylint: disable=too-few-
 
     Deprecated: This converter is deprecated and will be removed in a future release.
     """
-    
+
     def __init__(self) -> None:
-        warnings.warn("JSON converter is deprecated and will be removed in a future release")
+        warnings.warn(
+            "JSON converter is deprecated and will be removed in a future release"
+        )
         super().__init__()
 
     def _find_json_object_offsets(self, data: str) -> List[Tuple[int, int]]:
@@ -397,7 +399,9 @@ class _MultiGCSFileReader(_Reader):  # pylint: disable=too-few-public-methods
     """
 
     def __init__(self):
-        warnings.warn("_MultiGCSFileReader is deprecated and will be removed in a future release")
+        warnings.warn(
+            "_MultiGCSFileReader is deprecated and will be removed in a future release"
+        )
         super().__init__()
         self._retrieval_strategy = None
 
@@ -415,54 +419,6 @@ def read(self) -> Iterator[Tuple[_MetadataFileInfo, str]]:
             result = self._retrieval_strategy.get_next_chunk()
 
 
-@dataclass
-class BufferedJsonConverterOutput:
-    """Output with the JSON object"""
-    json: Any
-
-
-class _BufferedJsonConverter(Converter[BufferedJsonConverterOutput]):
-    """Converts JSON data in a buffered manner
-    """
-    def convert(
-        self, input_args: Converter.ConverterInputArgs
-    ) -> Iterator[BufferedJsonConverterOutput]:
-        yield BufferedJsonConverterOutput(json=json.loads(input_args.raw_data))
-
-
-class _BufferedGCSFileReader(_Reader): 
-    """Reads data from multiple GCS files and buffer them to disk"""
-
-    def __init__(self):
-        super().__init__()
-        self._retrieval_strategy = None
-
-    def set_retrieval_strategy(self, strategy: FileRetrieverStrategy) -> None:
-        """Sets the retrieval strategy."""
-        self._retrieval_strategy = strategy
-
-    def read(self) -> Iterator[Tuple[_MetadataFileInfo, str]]:
-        if not self._retrieval_strategy:
-            raise ValueError("retrieval strategy not set")
-        # create a buffer
-        with tempfile.NamedTemporaryFile(mode='w+', delete=False) as temp_file:
-            result = self._retrieval_strategy.get_next_chunk()
-            while result:
-                file_info, raw_data = result
-                temp_file.seek(file_info.offsets.start)
-                temp_file.write(raw_data)
-                result = self._retrieval_strategy.get_next_chunk()
-        # read buffer
-        with open(temp_file.name, 'r') as temp_file_reopened:
-            for idx, line in enumerate(temp_file_reopened):
-                yield _MetadataFileInfo(
-                    offsets=Range(start=0, end=len(line) - 1), 
-                    lines=Range(start=idx, end=idx + 1), 
-                    file=temp_file.name), line
-        # manually delete buffer
-        os.unlink(temp_file.name)
-
-
 class Stream(Generic[OutputT]):
     """Streams data from a Reader."""
 
@@ -520,6 +476,144 @@ def start(
                 stream_handler(output)
 
 
+class _BufferedFileRetrieverByOffset(FileRetrieverStrategy):  # pylint: disable=too-few-public-methods
+    """Retrieves files by offset."""
+
+    def __init__(
+        self,
+        ctx: _TaskContext,
+        offset: int,
+    ) -> None:
+        super().__init__(ctx)
+        self._current_offset = offset
+        self._current_line = 0
+        if self._current_offset >= self._ctx.metadata_header.total_size:
+            raise ValueError(
+                f"offset is out of range, max offset is {self._ctx.metadata_header.total_size - 1}"
+            )
+
+    def get_next_chunk(self) -> Optional[Tuple[_MetadataFileInfo, str]]:
+        if self._current_offset >= self._ctx.metadata_header.total_size:
+            return None
+        query = (
+            f"query GetExportFileFromOffsetPyApi"
+            f"($where: WhereUniqueIdInput, $streamType: TaskStreamType!, $offset: UInt64!)"
+            f"{{task(where: $where)"
+            f"{{{'exportFileFromOffset'}(streamType: $streamType, offset: $offset)"
+            f"{{offsets {{start end}} lines {{start end}} file}}"
+            f"}}}}")
+        variables = {
+            "where": {
+                "id": self._ctx.task_id
+            },
+            "streamType": self._ctx.stream_type.value,
+            "offset": str(self._current_offset),
+        }
+        file_info, file_content = self._get_file_content(
+            query, variables, "exportFileFromOffset")
+        file_info.offsets.start = self._current_offset
+        file_info.lines.start = self._current_line
+        self._current_offset = file_info.offsets.end + 1
+        self._current_line = file_info.lines.end + 1
+        return file_info, file_content
+
+
+class BufferedStream(Generic[OutputT]):
+    """Streams data from a Reader."""
+
+    def __init__(
+        self,
+        ctx: _TaskContext,
+    ):
+        self._ctx = ctx
+        self._reader = _BufferedGCSFileReader()
+        self._converter = _BufferedJsonConverter()
+        self._reader.set_retrieval_strategy(
+            _BufferedFileRetrieverByOffset(self._ctx, 0))
+
+    def __iter__(self):
+        yield from self._fetch()
+
+    def _fetch(self,) -> Iterator[OutputT]:
+        """Fetches the result data.
+        Returns an iterator that yields the offset and the data.
+        """
+        if self._ctx.metadata_header.total_size is None:
+            return
+
+        stream = self._reader.read()
+        with self._converter as converter:
+            for file_info, raw_data in stream:
+                for output in converter.convert(
+                        Converter.ConverterInputArgs(self._ctx, file_info,
+                                                     raw_data)):
+                    yield output
+
+    def start(
+            self,
+            stream_handler: Optional[Callable[[OutputT], None]] = None) -> None:
+        """Starts streaming the result data.
+        Calls the stream_handler for each result.
+        """
+        # this calls the __iter__ method, which in turn calls the _fetch method
+        for output in self:
+            if stream_handler:
+                stream_handler(output)
+
+
+@dataclass
+class BufferedJsonConverterOutput:
+    """Output with the JSON object"""
+    json: Any
+
+
+class _BufferedJsonConverter(Converter[BufferedJsonConverterOutput]):
+    """Converts JSON data in a buffered manner
+    """
+
+    def convert(
+        self, input_args: Converter.ConverterInputArgs
+    ) -> Iterator[BufferedJsonConverterOutput]:
+        yield BufferedJsonConverterOutput(json=json.loads(input_args.raw_data))
+
+
+class _BufferedGCSFileReader(_Reader):
+    """Reads data from multiple GCS files and buffer them to disk"""
+
+    def __init__(self):
+        super().__init__()
+        self._retrieval_strategy = None
+
+    def set_retrieval_strategy(self, strategy: FileRetrieverStrategy) -> None:
+        """Sets the retrieval strategy."""
+        self._retrieval_strategy = strategy
+
+    def read(self) -> Iterator[Tuple[_MetadataFileInfo, str]]:
+        if not self._retrieval_strategy:
+            raise ValueError("retrieval strategy not set")
+        # create a buffer
+        with tempfile.NamedTemporaryFile(mode='w+', delete=False) as temp_file:
+            result = self._retrieval_strategy.get_next_chunk()
+            while result:
+                _, raw_data = result
+                # there is something wrong with the way the offsets are being calculated
+                # so just write all of the chunks as is too the file, with pointer initially
+                # pointed to the start of the file (like what is in GCS) and do not
+                # rely on offsets for file location
+                # temp_file.seek(file_info.offsets.start)
+                temp_file.write(raw_data)
+                result = self._retrieval_strategy.get_next_chunk()
+        # read buffer
+        with open(temp_file.name, 'r') as temp_file_reopened:
+            for idx, line in enumerate(temp_file_reopened):
+                yield _MetadataFileInfo(offsets=Range(start=0,
+                                                      end=len(line) - 1),
+                                        lines=Range(start=idx, end=idx + 1),
+                                        file=temp_file.name), line
+        # manually delete buffer
+        os.unlink(temp_file.name)
+
+
 class ExportTask:
     """
     An adapter class for working with task objects, providing extended functionality
@@ -645,12 +739,11 @@ def errors(self):
             self._task.client, self._task.uid, StreamType.ERRORS)
         if metadata_header is None:
             return None
-        Stream(
-            _TaskContext(self._task.client, self._task.uid, StreamType.ERRORS,
-                         metadata_header),
-            _BufferedGCSFileReader(),
-            _BufferedJsonConverter(),
-        ).start(stream_handler=lambda output: data.append(output.json))
+        BufferedStream(
+            _TaskContext(
+                self._task.client, self._task.uid, StreamType.ERRORS,
+                metadata_header),).start(
+                    stream_handler=lambda output: data.append(output.json))
         return data
 
     @property
@@ -667,12 +760,11 @@ def result(self):
                 self._task.client, self._task.uid, StreamType.RESULT)
             if metadata_header is None:
                 return []
-            Stream(
-                _TaskContext(self._task.client, self._task.uid,
-                             StreamType.RESULT, metadata_header),
-                _BufferedGCSFileReader(),
-                _BufferedJsonConverter(),
-            ).start(stream_handler=lambda output: data.append(output.json))
+            BufferedStream(
+                _TaskContext(
+                    self._task.client, self._task.uid, StreamType.RESULT,
+                    metadata_header),).start(
+                        stream_handler=lambda output: data.append(output.json))
             return data
         return self._task.result_url
 
@@ -747,6 +839,38 @@ def has_errors(self) -> bool:
         total_size = self.get_total_file_size(StreamType.ERRORS)
         return total_size is not None and total_size > 0
 
+    def get_buffered_stream(
+        self,
+        stream_type: StreamType = StreamType.RESULT,
+    ) -> BufferedStream:
+        """
+        Returns the result of the task.
+
+        Args:
+            stream_type (StreamType, optional): The type of stream to retrieve. Defaults to StreamType.RESULT.
+
+        Returns:
+            Stream: The buffered stream object.
+
+        Raises:
+            ExportTask.ExportTaskException: If the task has failed or is not ready yet.
+            ValueError: If the task does not have the specified stream type.
+        """
+        if self._task.status == "FAILED":
+            raise ExportTask.ExportTaskException("Task failed")
+        if self._task.status != "COMPLETE":
+            raise ExportTask.ExportTaskException("Task is not ready yet")
+
+        metadata_header = self._get_metadata_header(self._task.client,
+                                                    self._task.uid, stream_type)
+        if metadata_header is None:
+            raise ValueError(
+                f"Task {self._task.uid} does not have a {stream_type.value} stream"
+            )
+        return BufferedStream(
+            _TaskContext(self._task.client, self._task.uid, stream_type,
+                         metadata_header),)
+
     @overload
     def get_stream(
         self,
@@ -768,6 +892,9 @@ def get_stream(
         converter: Optional[Converter] = None,
         stream_type: StreamType = StreamType.RESULT,
     ) -> Stream:
+        warnings.warn(
+            "get_stream is deprecated and will be removed in a future release, use get_buffered_stream"
+        )
         if converter is None:
             converter = JsonConverter()
         """Returns the result of the task."""

libs/labelbox/src/labelbox/schema/project.py

@@ -1022,8 +1022,6 @@ def create_batches_from_dataset(
             consensus_settings = ConsensusSettings(**consensus_settings).dict(
                 by_alias=True)
 
-        print("Creating batches from dataset %s", dataset_id)
-
         method = 'createBatchesFromDataset'
         mutation_str = """mutation %sPyApi($projectId: ID!, $input: CreateBatchesFromDatasetInput!) {
                                         project(where: {id: $projectId}) {

libs/labelbox/tests/conftest.py

@@ -430,10 +430,14 @@ def consensus_project(client, rand_gen):
 
 @pytest.fixture
 def model_config(client, rand_gen, valid_model_id):
-    model_config = client.create_model_config(name=rand_gen(str), model_id=valid_model_id, inference_params = {"param": "value"})
+    model_config = client.create_model_config(
+        name=rand_gen(str),
+        model_id=valid_model_id,
+        inference_params={"param": "value"})
     yield model_config
     client.delete_model_config(model_config.uid)
 
+
 @pytest.fixture
 def consensus_project_with_batch(consensus_project, initial_dataset, rand_gen,
                                  image_url):
@@ -1050,6 +1054,7 @@ def embedding(client: Client):
     yield embedding
     embedding.delete()
 
+
 @pytest.fixture
 def valid_model_id():
     return "2c903542-d1da-48fd-9db1-8c62571bd3d2"

libs/labelbox/tests/data/export/streamable/test_export_data_rows_streamable.py

@@ -27,6 +27,25 @@ def test_with_data_row_object(self, client, data_row,
         assert export_task.get_total_lines(stream_type=StreamType.RESULT) == 1
         assert (json.loads(list(export_task.get_stream())[0].json_str)
                 ["data_row"]["id"] == data_row.uid)
+
+    def test_with_data_row_object_buffered(self, client, data_row,
+                                  wait_for_data_row_processing):
+        data_row = wait_for_data_row_processing(client, data_row)
+        time.sleep(7)  # temp fix for ES indexing delay
+        export_task = DataRow.export(
+            client=client,
+            data_rows=[data_row],
+            task_name="TestExportDataRow:test_with_data_row_object_buffered",
+        )
+        export_task.wait_till_done()
+        assert export_task.status == "COMPLETE"
+        assert isinstance(export_task, ExportTask)
+        assert export_task.has_result()
+        assert export_task.has_errors() is False
+        assert export_task.get_total_file_size(
+            stream_type=StreamType.RESULT) > 0
+        assert export_task.get_total_lines(stream_type=StreamType.RESULT) == 1
+        assert list(export_task.get_buffered_stream())[0].json["data_row"]["id"] == data_row.uid
 
     def test_with_id(self, client, data_row, wait_for_data_row_processing):
         data_row = wait_for_data_row_processing(client, data_row)

libs/labelbox/tests/integration/conftest.py

@@ -453,4 +453,4 @@ def print_perf_summary():
         num_of_entries = 10 if len(sorted_dict) >= 10 else len(sorted_dict)
         slowest_fixtures = [(aaa, sorted_dict[aaa])
                             for aaa in islice(sorted_dict, num_of_entries)]
-        print("\nTop slowest fixtures:\n", slowest_fixtures, file=sys.stderr)
+        print("\nTop slowest fixtures:\n", slowest_fixtures, file=sys.stderr)