def classify_text( self, document, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Classifies a document into categories. Example: >>> from google.cloud import language_v1 >>> >>> client = language_v1.LanguageServiceClient() >>> >>> # TODO: Initialize `document`: >>> document = {} >>> >>> response = client.classify_text(document) Args: document (Union[dict, ~google.cloud.language_v1.types.Document]): Input document. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.language_v1.types.Document` 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.language_v1.types.ClassifyTextResponse` 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 "classify_text" not in self._inner_api_calls: self._inner_api_calls[ "classify_text"] = google.api_core.gapic_v1.method.wrap_method( self.transport.classify_text, default_retry=self._method_configs["ClassifyText"].retry, default_timeout=self._method_configs["ClassifyText"]. timeout, client_info=self._client_info, ) request = language_service_pb2.ClassifyTextRequest(document=document) return self._inner_api_calls["classify_text"](request, retry=retry, timeout=timeout, metadata=metadata)
def test_classify_text(self): # Setup Expected Response expected_response = {} expected_response = language_service_pb2.ClassifyTextResponse( **expected_response) # Mock the API response channel = ChannelStub(responses=[expected_response]) client = language_v1.LanguageServiceClient(channel=channel) # Setup Request document = {} response = client.classify_text(document) assert expected_response == response assert len(channel.requests) == 1 expected_request = language_service_pb2.ClassifyTextRequest( document=document) actual_request = channel.requests[0][1] assert expected_request == actual_request
def classify_text(self, document, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT): """ Classifies a document into categories. Example: >>> from google.cloud import language_v1 >>> >>> client = language_v1.LanguageServiceClient() >>> >>> document = {} >>> >>> response = client.classify_text(document) Args: document (Union[dict, ~google.cloud.language_v1.types.Document]): Input document. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.language_v1.types.Document` 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:`~google.cloud.language_v1.types.ClassifyTextResponse` 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. """ request = language_service_pb2.ClassifyTextRequest(document=document) return self._classify_text(request, retry=retry, timeout=timeout)
def test_classify_text(self): # Setup Expected Response expected_response = {} expected_response = language_service_pb2.ClassifyTextResponse( **expected_response) # Mock the API response channel = ChannelStub(responses=[expected_response]) patch = mock.patch("google.api_core.grpc_helpers.create_channel") with patch as create_channel: create_channel.return_value = channel client = language_v1.LanguageServiceClient() # Setup Request document = {} response = client.classify_text(document) assert expected_response == response assert len(channel.requests) == 1 expected_request = language_service_pb2.ClassifyTextRequest( document=document) actual_request = channel.requests[0][1] assert expected_request == actual_request