text: # Copyright 2017, Google LLC All rights reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  # EDITING INSTRUCTIONS
  # This file was generated from the file
  # https://github.com/google/googleapis/blob/master/google/cloud/language/v1beta2/language_service.proto,
  # and updates to that file get reflected here through a refresh process.
  # For the short term, the refresh process will only be runnable by Google engineers.
  #
  # The only allowed edits are to method and file documentation. A 3-way
  # merge preserves those additions if the generated source changes.
  """Accesses the google.cloud.language.v1beta2 LanguageService API."""
  
  import pkg_resources
  
  import google.api_core.gapic_v1.client_info
  import google.api_core.gapic_v1.config
  import google.api_core.gapic_v1.method
  import google.api_core.grpc_helpers
  
  from google.cloud.language_v1beta2.gapic import enums
  from google.cloud.language_v1beta2.gapic import language_service_client_config
  from google.cloud.language_v1beta2.proto import language_service_pb2
  
  _GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution(
      'google-cloud-language', ).version
  
  
  class LanguageServiceClient(object):
      """
      Provides text analysis operations such as sentiment analysis and entity
      recognition.
      """
  
      SERVICE_ADDRESS = 'language.googleapis.com:443'
      """The default address of the service."""
  
      # The scopes needed to make gRPC calls to all of the methods defined in
      # this service
      _DEFAULT_SCOPES = ('https://www.googleapis.com/auth/cloud-platform', )
  
      # The name of the interface for this client. This is the key used to find
      # method configuration in the client_config dictionary
      _INTERFACE_NAME = ('google.cloud.language.v1beta2.LanguageService')
  
      def __init__(self,
                   channel=None,
                   credentials=None,
                   client_config=language_service_client_config.config,
                   client_info=None):
          """Constructor.
  
          Args:
              channel (grpc.Channel): A ``Channel`` instance through
                  which to make calls. If specified, then the ``credentials``
                  argument is ignored.
              credentials (google.auth.credentials.Credentials): The
                  authorization credentials to attach to requests. These
                  credentials identify this application to the service. If none
                  are specified, the client will attempt to ascertain the
                  credentials from the environment.
              client_config (dict):
                  A dictionary of call options for each method. If not specified
                  the default configuration is used. Generally, you only need
                  to set this if you're developing your own client library.
              client_info (google.api_core.gapic_v1.client_info.ClientInfo):
                  The client info used to send a user-agent string along with
                  API requests. If ``None``, then default info will be used.
                  Generally, you only need to set this if you're developing
                  your own client library.
          """
          if channel is not None and credentials is not None:
              raise ValueError(
                  'channel and credentials arguments to {} are mutually '
                  'exclusive.'.format(self.__class__.__name__))
  
          if channel is None:
              channel = google.api_core.grpc_helpers.create_channel(
                  self.SERVICE_ADDRESS,
                  credentials=credentials,
                  scopes=self._DEFAULT_SCOPES)
  
          self.language_service_stub = (
              language_service_pb2.LanguageServiceStub(channel))
  
          if client_info is None:
              client_info = (
                  google.api_core.gapic_v1.client_info.DEFAULT_CLIENT_INFO)
  
          client_info.gapic_version = _GAPIC_LIBRARY_VERSION
  
          interface_config = client_config['interfaces'][self._INTERFACE_NAME]
          method_configs = google.api_core.gapic_v1.config.parse_method_configs(
              interface_config)
  
          self._analyze_sentiment = google.api_core.gapic_v1.method.wrap_method(
              self.language_service_stub.AnalyzeSentiment,
              default_retry=method_configs['AnalyzeSentiment'].retry,
              default_timeout=method_configs['AnalyzeSentiment'].timeout,
              client_info=client_info)
          self._analyze_entities = google.api_core.gapic_v1.method.wrap_method(
              self.language_service_stub.AnalyzeEntities,
              default_retry=method_configs['AnalyzeEntities'].retry,
              default_timeout=method_configs['AnalyzeEntities'].timeout,
              client_info=client_info)
          self._analyze_entity_sentiment = google.api_core.gapic_v1.method.wrap_method(
              self.language_service_stub.AnalyzeEntitySentiment,
              default_retry=method_configs['AnalyzeEntitySentiment'].retry,
              default_timeout=method_configs['AnalyzeEntitySentiment'].timeout,
              client_info=client_info)
          self._analyze_syntax = google.api_core.gapic_v1.method.wrap_method(
              self.language_service_stub.AnalyzeSyntax,
              default_retry=method_configs['AnalyzeSyntax'].retry,
              default_timeout=method_configs['AnalyzeSyntax'].timeout,
              client_info=client_info)
          self._classify_text = google.api_core.gapic_v1.method.wrap_method(
              self.language_service_stub.ClassifyText,
              default_retry=method_configs['ClassifyText'].retry,
              default_timeout=method_configs['ClassifyText'].timeout,
              client_info=client_info)
          self._annotate_text = google.api_core.gapic_v1.method.wrap_method(
              self.language_service_stub.AnnotateText,
              default_retry=method_configs['AnnotateText'].retry,
              default_timeout=method_configs['AnnotateText'].timeout,
              client_info=client_info)
  
      # Service calls
      def analyze_sentiment(self,
                            document,
                            encoding_type=None,
                            retry=google.api_core.gapic_v1.method.DEFAULT,
                            timeout=google.api_core.gapic_v1.method.DEFAULT):
          """
          Analyzes the sentiment of the provided text.
  
          Example:
              >>> from google.cloud import language_v1beta2
              >>>
              >>> client = language_v1beta2.LanguageServiceClient()
              >>>
              >>> document = {}
              >>>
              >>> response = client.analyze_sentiment(document)
  
          Args:
              document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Input document.
                  If a dict is provided, it must be of the same form as the protobuf
                  message :class:`~google.cloud.language_v1beta2.types.Document`
              encoding_type (~google.cloud.language_v1beta2.types.EncodingType): The encoding type used by the API to calculate sentence offsets for the
                  sentence sentiment.
              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_v1beta2.types.AnalyzeSentimentResponse` 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.AnalyzeSentimentRequest(
              document=document, encoding_type=encoding_type)
          return self._analyze_sentiment(request, retry=retry, timeout=timeout)
  
      def analyze_entities(self,
                           document,
                           encoding_type=None,
                           retry=google.api_core.gapic_v1.method.DEFAULT,
                           timeout=google.api_core.gapic_v1.method.DEFAULT):
          """
          Finds named entities (currently proper names and common nouns) in the text
          along with entity types, salience, mentions for each entity, and
          other properties.
  
          Example:
              >>> from google.cloud import language_v1beta2
              >>>
              >>> client = language_v1beta2.LanguageServiceClient()
              >>>
              >>> document = {}
              >>>
              >>> response = client.analyze_entities(document)
  
          Args:
              document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Input document.
                  If a dict is provided, it must be of the same form as the protobuf
                  message :class:`~google.cloud.language_v1beta2.types.Document`
              encoding_type (~google.cloud.language_v1beta2.types.EncodingType): The encoding type used by the API to calculate offsets.
              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_v1beta2.types.AnalyzeEntitiesResponse` 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.AnalyzeEntitiesRequest(
              document=document, encoding_type=encoding_type)
          return self._analyze_entities(request, retry=retry, timeout=timeout)
  
      def analyze_entity_sentiment(
              self,
              document,
              encoding_type=None,
              retry=google.api_core.gapic_v1.method.DEFAULT,
              timeout=google.api_core.gapic_v1.method.DEFAULT):
          """
          Finds entities, similar to ``AnalyzeEntities`` in the text and analyzes
          sentiment associated with each entity and its mentions.
  
          Example:
              >>> from google.cloud import language_v1beta2
              >>>
              >>> client = language_v1beta2.LanguageServiceClient()
              >>>
              >>> document = {}
              >>>
              >>> response = client.analyze_entity_sentiment(document)
  
          Args:
              document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Input document.
                  If a dict is provided, it must be of the same form as the protobuf
                  message :class:`~google.cloud.language_v1beta2.types.Document`
              encoding_type (~google.cloud.language_v1beta2.types.EncodingType): The encoding type used by the API to calculate offsets.
              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_v1beta2.types.AnalyzeEntitySentimentResponse` 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.AnalyzeEntitySentimentRequest(
              document=document, encoding_type=encoding_type)
          return self._analyze_entity_sentiment(
              request, retry=retry, timeout=timeout)
  
      def analyze_syntax(self,
                         document,
                         encoding_type=None,
                         retry=google.api_core.gapic_v1.method.DEFAULT,
                         timeout=google.api_core.gapic_v1.method.DEFAULT):
          """
          Analyzes the syntax of the text and provides sentence boundaries and
          tokenization along with part of speech tags, dependency trees, and other
          properties.
  
          Example:
              >>> from google.cloud import language_v1beta2
              >>>
              >>> client = language_v1beta2.LanguageServiceClient()
              >>>
              >>> document = {}
              >>>
              >>> response = client.analyze_syntax(document)
  
          Args:
              document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Input document.
                  If a dict is provided, it must be of the same form as the protobuf
                  message :class:`~google.cloud.language_v1beta2.types.Document`
              encoding_type (~google.cloud.language_v1beta2.types.EncodingType): The encoding type used by the API to calculate offsets.
              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_v1beta2.types.AnalyzeSyntaxResponse` 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.AnalyzeSyntaxRequest(
              document=document, encoding_type=encoding_type)
          return self._analyze_syntax(request, retry=retry, timeout=timeout)
  
      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_v1beta2
              >>>
              >>> client = language_v1beta2.LanguageServiceClient()
              >>>
              >>> document = {}
              >>>
              >>> response = client.classify_text(document)
  
          Args:
              document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Input document.
                  If a dict is provided, it must be of the same form as the protobuf
                  message :class:`~google.cloud.language_v1beta2.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_v1beta2.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 annotate_text(self,
                        document,
                        features,
                        encoding_type=None,
                        retry=google.api_core.gapic_v1.method.DEFAULT,
                        timeout=google.api_core.gapic_v1.method.DEFAULT):
          """
          A convenience method that provides all syntax, sentiment, entity, and
          classification features in one call.
  
          Example:
              >>> from google.cloud import language_v1beta2
              >>>
              >>> client = language_v1beta2.LanguageServiceClient()
              >>>
              >>> document = {}
              >>> features = {}
              >>>
              >>> response = client.annotate_text(document, features)
  
          Args:
              document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Input document.
                  If a dict is provided, it must be of the same form as the protobuf
                  message :class:`~google.cloud.language_v1beta2.types.Document`
              features (Union[dict, ~google.cloud.language_v1beta2.types.Features]): The enabled features.
                  If a dict is provided, it must be of the same form as the protobuf
                  message :class:`~google.cloud.language_v1beta2.types.Features`
              encoding_type (~google.cloud.language_v1beta2.types.EncodingType): The encoding type used by the API to calculate offsets.
              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_v1beta2.types.AnnotateTextResponse` 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.AnnotateTextRequest(
              document=document, features=features, encoding_type=encoding_type)
          return self._annotate_text(request, retry=retry, timeout=timeout)
  