def test_batch_update_intents(self): # Setup Expected Response expected_response = {} expected_response = intent_pb2.BatchUpdateIntentsResponse( **expected_response) operation = operations_pb2.Operation( name='operations/test_batch_update_intents', done=True) operation.response.Pack(expected_response) # Mock the API response channel = ChannelStub(responses=[operation]) client = dialogflow_v2beta1.IntentsClient(channel=channel) # Setup Request parent = client.project_agent_path('[PROJECT]') language_code = 'languageCode-412800396' response = client.batch_update_intents(parent, language_code) result = response.result() assert expected_response == result assert len(channel.requests) == 1 expected_request = intent_pb2.BatchUpdateIntentsRequest( parent=parent, language_code=language_code) actual_request = channel.requests[0][1] assert expected_request == actual_request
def test_batch_update_intents(self): # Setup Expected Response expected_response = {} expected_response = intent_pb2.BatchUpdateIntentsResponse( **expected_response) operation = operations_pb2.Operation( name="operations/test_batch_update_intents", done=True) operation.response.Pack(expected_response) # Mock the API response channel = ChannelStub(responses=[operation]) patch = mock.patch("google.api_core.grpc_helpers.create_channel") with patch as create_channel: create_channel.return_value = channel client = dialogflow_v2beta1.IntentsClient() # Setup Request parent = client.project_agent_path("[PROJECT]") language_code = "languageCode-412800396" response = client.batch_update_intents(parent, language_code) result = response.result() assert expected_response == result assert len(channel.requests) == 1 expected_request = intent_pb2.BatchUpdateIntentsRequest( parent=parent, language_code=language_code) actual_request = channel.requests[0][1] assert expected_request == actual_request
def batch_update_intents(self, parent, language_code, intent_batch_uri=None, intent_batch_inline=None, update_mask=None, intent_view=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT): """ Updates/Creates multiple intents in the specified agent. Operation<response: BatchUpdateIntentsResponse> Example: >>> import dialogflow_v2beta1 >>> >>> client = dialogflow_v2beta1.IntentsClient() >>> >>> parent = client.agent_path('[PROJECT]', '[AGENT]') >>> language_code = '' >>> >>> response = client.batch_update_intents(parent, language_code) >>> >>> def callback(operation_future): ... # Handle result. ... result = operation_future.result() >>> >>> response.add_done_callback(callback) >>> >>> # Handle metadata. >>> metadata = response.metadata() Args: parent (str): Required. The name of the agent to update or create intents in. Format: ``projects/<Project ID>/agent``. language_code (str): Optional. The language of training phrases, parameters and rich messages defined in ``intents``. If not specified, the agent's default language is used. [More than a dozen languages](https://dialogflow.com/docs/reference/language) are supported. Note: languages must be enabled in the agent, before they can be used. intent_batch_uri (str): The URI to a file containing intents to update or create. The file format can be either a serialized proto (of IntentBatch type) or JSON object. Note: The URI must start with \"gs://\". intent_batch_inline (Union[dict, ~dialogflow_v2beta1.types.IntentBatch]): The collection of intents to update or create. If a dict is provided, it must be of the same form as the protobuf message :class:`~dialogflow_v2beta1.types.IntentBatch` update_mask (Union[dict, ~dialogflow_v2beta1.types.FieldMask]): Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message :class:`~dialogflow_v2beta1.types.FieldMask` intent_view (~dialogflow_v2beta1.types.IntentView): Optional. The resource view to apply to the returned intent. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. Returns: A :class:`~dialogflow_v2beta1.types._OperationFuture` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Sanity check: We have some fields which are mutually exclusive; # raise ValueError if more than one is sent. google.api_core.protobuf_helpers.check_oneof( intent_batch_uri=intent_batch_uri, intent_batch_inline=intent_batch_inline, ) request = intent_pb2.BatchUpdateIntentsRequest( parent=parent, language_code=language_code, intent_batch_uri=intent_batch_uri, intent_batch_inline=intent_batch_inline, update_mask=update_mask, intent_view=intent_view) operation = self._batch_update_intents( request, retry=retry, timeout=timeout) return google.api_core.operation.from_gapic( operation, self.operations_client, intent_pb2.BatchUpdateIntentsResponse, metadata_type=struct_pb2.Struct)
def batch_update_intents(self, parent, language_code, intent_batch_uri=None, intent_batch_inline=None, update_mask=None, intent_view=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None): """ Updates/Creates multiple intents in the specified agent. Operation <response: ``BatchUpdateIntentsResponse``> Example: >>> import dialogflow_v2beta1 >>> >>> client = dialogflow_v2beta1.IntentsClient() >>> >>> parent = client.project_agent_path('[PROJECT]') >>> >>> # TODO: Initialize `language_code`: >>> language_code = '' >>> >>> response = client.batch_update_intents(parent, language_code) >>> >>> def callback(operation_future): ... # Handle result. ... result = operation_future.result() >>> >>> response.add_done_callback(callback) >>> >>> # Handle metadata. >>> metadata = response.metadata() Args: parent (str): Required. The name of the agent to update or create intents in. Format: ``projects/<Project ID>/agent``. language_code (str): Optional. The language of training phrases, parameters and rich messages defined in ``intents``. If not specified, the agent's default language is used. `Many languages <https://cloud.google.com/dialogflow-enterprise/docs/reference/language>`__ are supported. Note: languages must be enabled in the agent before they can be used. intent_batch_uri (str): The URI to a Google Cloud Storage file containing intents to update or create. The file format can either be a serialized proto (of IntentBatch type) or JSON object. Note: The URI must start with "gs://". intent_batch_inline (Union[dict, ~google.cloud.dialogflow_v2beta1.types.IntentBatch]): The collection of intents to update or create. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.dialogflow_v2beta1.types.IntentBatch` update_mask (Union[dict, ~google.cloud.dialogflow_v2beta1.types.FieldMask]): Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.dialogflow_v2beta1.types.FieldMask` intent_view (~google.cloud.dialogflow_v2beta1.types.IntentView): Optional. The resource view to apply to the returned intent. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the method. Returns: A :class:`~google.cloud.dialogflow_v2beta1.types._OperationFuture` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if 'batch_update_intents' not in self._inner_api_calls: self._inner_api_calls[ 'batch_update_intents'] = google.api_core.gapic_v1.method.wrap_method( self.transport.batch_update_intents, default_retry=self._method_configs['BatchUpdateIntents']. retry, default_timeout=self._method_configs['BatchUpdateIntents']. timeout, client_info=self._client_info, ) # Sanity check: We have some fields which are mutually exclusive; # raise ValueError if more than one is sent. google.api_core.protobuf_helpers.check_oneof( intent_batch_uri=intent_batch_uri, intent_batch_inline=intent_batch_inline, ) request = intent_pb2.BatchUpdateIntentsRequest( parent=parent, language_code=language_code, intent_batch_uri=intent_batch_uri, intent_batch_inline=intent_batch_inline, update_mask=update_mask, intent_view=intent_view, ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [('parent', parent)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header) metadata.append(routing_metadata) operation = self._inner_api_calls['batch_update_intents']( request, retry=retry, timeout=timeout, metadata=metadata) return google.api_core.operation.from_gapic( operation, self.transport._operations_client, intent_pb2.BatchUpdateIntentsResponse, metadata_type=struct_pb2.Struct, )