# -*- coding: utf-8 -*- # Copyright 2023 Google LLC # # 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. # from collections import OrderedDict import os import re from typing import ( Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast, ) import warnings from google.api_core import client_options as client_options_lib from google.api_core import exceptions as core_exceptions from google.api_core import gapic_v1 from google.api_core import retry as retries from google.auth import credentials as ga_credentials # type: ignore from google.auth.exceptions import MutualTLSChannelError # type: ignore from google.auth.transport import mtls # type: ignore from google.auth.transport.grpc import SslCredentials # type: ignore from google.oauth2 import service_account # type: ignore from google.cloud.translate_v3 import gapic_version as package_version try: OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] except AttributeError: # pragma: NO COVER OptionalRetry = Union[retries.Retry, object, None] # type: ignore from google.api_core import operation # type: ignore from google.api_core import operation_async # type: ignore from google.protobuf import timestamp_pb2 # type: ignore from google.cloud.translate_v3.services.translation_service import pagers from google.cloud.translate_v3.types import adaptive_mt, translation_service from .transports.base import DEFAULT_CLIENT_INFO, TranslationServiceTransport from .transports.grpc import TranslationServiceGrpcTransport from .transports.grpc_asyncio import TranslationServiceGrpcAsyncIOTransport from .transports.rest import TranslationServiceRestTransport class TranslationServiceClientMeta(type): """Metaclass for the TranslationService client. This provides class-level methods for building and retrieving support objects (e.g. transport) without polluting the client instance objects. """ _transport_registry = ( OrderedDict() ) # type: Dict[str, Type[TranslationServiceTransport]] _transport_registry["grpc"] = TranslationServiceGrpcTransport _transport_registry["grpc_asyncio"] = TranslationServiceGrpcAsyncIOTransport _transport_registry["rest"] = TranslationServiceRestTransport def get_transport_class( cls, label: Optional[str] = None, ) -> Type[TranslationServiceTransport]: """Returns an appropriate transport class. Args: label: The name of the desired transport. If none is provided, then the first transport in the registry is used. Returns: The transport class to use. """ # If a specific transport is requested, return that one. if label: return cls._transport_registry[label] # No transport is requested; return the default (that is, the first one # in the dictionary). return next(iter(cls._transport_registry.values())) class TranslationServiceClient(metaclass=TranslationServiceClientMeta): """Provides natural language translation operations.""" @staticmethod def _get_default_mtls_endpoint(api_endpoint): """Converts api endpoint to mTLS endpoint. Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. Args: api_endpoint (Optional[str]): the api endpoint to convert. Returns: str: converted mTLS api endpoint. """ if not api_endpoint: return api_endpoint mtls_endpoint_re = re.compile( r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" ) m = mtls_endpoint_re.match(api_endpoint) name, mtls, sandbox, googledomain = m.groups() if mtls or not googledomain: return api_endpoint if sandbox: return api_endpoint.replace( "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" ) return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. DEFAULT_ENDPOINT = "translate.googleapis.com" DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore DEFAULT_ENDPOINT ) _DEFAULT_ENDPOINT_TEMPLATE = "translate.{UNIVERSE_DOMAIN}" _DEFAULT_UNIVERSE = "googleapis.com" @classmethod def from_service_account_info(cls, info: dict, *args, **kwargs): """Creates an instance of this client using the provided credentials info. Args: info (dict): The service account private key info. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: TranslationServiceClient: The constructed client. """ credentials = service_account.Credentials.from_service_account_info(info) kwargs["credentials"] = credentials return cls(*args, **kwargs) @classmethod def from_service_account_file(cls, filename: str, *args, **kwargs): """Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private key json file. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: TranslationServiceClient: The constructed client. """ credentials = service_account.Credentials.from_service_account_file(filename) kwargs["credentials"] = credentials return cls(*args, **kwargs) from_service_account_json = from_service_account_file @property def transport(self) -> TranslationServiceTransport: """Returns the transport used by the client instance. Returns: TranslationServiceTransport: The transport used by the client instance. """ return self._transport @staticmethod def adaptive_mt_dataset_path( project: str, location: str, dataset: str, ) -> str: """Returns a fully-qualified adaptive_mt_dataset string.""" return "projects/{project}/locations/{location}/adaptiveMtDatasets/{dataset}".format( project=project, location=location, dataset=dataset, ) @staticmethod def parse_adaptive_mt_dataset_path(path: str) -> Dict[str, str]: """Parses a adaptive_mt_dataset path into its component segments.""" m = re.match( r"^projects/(?P.+?)/locations/(?P.+?)/adaptiveMtDatasets/(?P.+?)$", path, ) return m.groupdict() if m else {} @staticmethod def adaptive_mt_file_path( project: str, location: str, dataset: str, file: str, ) -> str: """Returns a fully-qualified adaptive_mt_file string.""" return "projects/{project}/locations/{location}/adaptiveMtDatasets/{dataset}/adaptiveMtFiles/{file}".format( project=project, location=location, dataset=dataset, file=file, ) @staticmethod def parse_adaptive_mt_file_path(path: str) -> Dict[str, str]: """Parses a adaptive_mt_file path into its component segments.""" m = re.match( r"^projects/(?P.+?)/locations/(?P.+?)/adaptiveMtDatasets/(?P.+?)/adaptiveMtFiles/(?P.+?)$", path, ) return m.groupdict() if m else {} @staticmethod def adaptive_mt_sentence_path( project: str, location: str, dataset: str, file: str, sentence: str, ) -> str: """Returns a fully-qualified adaptive_mt_sentence string.""" return "projects/{project}/locations/{location}/adaptiveMtDatasets/{dataset}/adaptiveMtFiles/{file}/adaptiveMtSentences/{sentence}".format( project=project, location=location, dataset=dataset, file=file, sentence=sentence, ) @staticmethod def parse_adaptive_mt_sentence_path(path: str) -> Dict[str, str]: """Parses a adaptive_mt_sentence path into its component segments.""" m = re.match( r"^projects/(?P.+?)/locations/(?P.+?)/adaptiveMtDatasets/(?P.+?)/adaptiveMtFiles/(?P.+?)/adaptiveMtSentences/(?P.+?)$", path, ) return m.groupdict() if m else {} @staticmethod def glossary_path( project: str, location: str, glossary: str, ) -> str: """Returns a fully-qualified glossary string.""" return "projects/{project}/locations/{location}/glossaries/{glossary}".format( project=project, location=location, glossary=glossary, ) @staticmethod def parse_glossary_path(path: str) -> Dict[str, str]: """Parses a glossary path into its component segments.""" m = re.match( r"^projects/(?P.+?)/locations/(?P.+?)/glossaries/(?P.+?)$", path, ) return m.groupdict() if m else {} @staticmethod def common_billing_account_path( billing_account: str, ) -> str: """Returns a fully-qualified billing_account string.""" return "billingAccounts/{billing_account}".format( billing_account=billing_account, ) @staticmethod def parse_common_billing_account_path(path: str) -> Dict[str, str]: """Parse a billing_account path into its component segments.""" m = re.match(r"^billingAccounts/(?P.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_folder_path( folder: str, ) -> str: """Returns a fully-qualified folder string.""" return "folders/{folder}".format( folder=folder, ) @staticmethod def parse_common_folder_path(path: str) -> Dict[str, str]: """Parse a folder path into its component segments.""" m = re.match(r"^folders/(?P.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_organization_path( organization: str, ) -> str: """Returns a fully-qualified organization string.""" return "organizations/{organization}".format( organization=organization, ) @staticmethod def parse_common_organization_path(path: str) -> Dict[str, str]: """Parse a organization path into its component segments.""" m = re.match(r"^organizations/(?P.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_project_path( project: str, ) -> str: """Returns a fully-qualified project string.""" return "projects/{project}".format( project=project, ) @staticmethod def parse_common_project_path(path: str) -> Dict[str, str]: """Parse a project path into its component segments.""" m = re.match(r"^projects/(?P.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_location_path( project: str, location: str, ) -> str: """Returns a fully-qualified location string.""" return "projects/{project}/locations/{location}".format( project=project, location=location, ) @staticmethod def parse_common_location_path(path: str) -> Dict[str, str]: """Parse a location path into its component segments.""" m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) return m.groupdict() if m else {} @classmethod def get_mtls_endpoint_and_cert_source( cls, client_options: Optional[client_options_lib.ClientOptions] = None ): """Deprecated. Return the API endpoint and client cert source for mutual TLS. The client cert source is determined in the following order: (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the client cert source is None. (2) if `client_options.client_cert_source` is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None. The API endpoint is determined in the following order: (1) if `client_options.api_endpoint` if provided, use the provided one. (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint. More details can be found at https://google.aip.dev/auth/4114. Args: client_options (google.api_core.client_options.ClientOptions): Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method. Returns: Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the client cert source to use. Raises: google.auth.exceptions.MutualTLSChannelError: If any errors happen. """ warnings.warn( "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", DeprecationWarning, ) if client_options is None: client_options = client_options_lib.ClientOptions() use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") if use_client_cert not in ("true", "false"): raise ValueError( "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" ) if use_mtls_endpoint not in ("auto", "never", "always"): raise MutualTLSChannelError( "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" ) # Figure out the client cert source to use. client_cert_source = None if use_client_cert == "true": if client_options.client_cert_source: client_cert_source = client_options.client_cert_source elif mtls.has_default_client_cert_source(): client_cert_source = mtls.default_client_cert_source() # Figure out which api endpoint to use. if client_options.api_endpoint is not None: api_endpoint = client_options.api_endpoint elif use_mtls_endpoint == "always" or ( use_mtls_endpoint == "auto" and client_cert_source ): api_endpoint = cls.DEFAULT_MTLS_ENDPOINT else: api_endpoint = cls.DEFAULT_ENDPOINT return api_endpoint, client_cert_source @staticmethod def _read_environment_variables(): """Returns the environment variables used by the client. Returns: Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. Raises: ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not any of ["true", "false"]. google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT is not any of ["auto", "never", "always"]. """ use_client_cert = os.getenv( "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" ).lower() use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") if use_client_cert not in ("true", "false"): raise ValueError( "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" ) if use_mtls_endpoint not in ("auto", "never", "always"): raise MutualTLSChannelError( "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" ) return use_client_cert == "true", use_mtls_endpoint, universe_domain_env def _get_client_cert_source(provided_cert_source, use_cert_flag): """Return the client cert source to be used by the client. Args: provided_cert_source (bytes): The client certificate source provided. use_cert_flag (bool): A flag indicating whether to use the client certificate. Returns: bytes or None: The client cert source to be used by the client. """ client_cert_source = None if use_cert_flag: if provided_cert_source: client_cert_source = provided_cert_source elif mtls.has_default_client_cert_source(): client_cert_source = mtls.default_client_cert_source() return client_cert_source def _get_api_endpoint( api_override, client_cert_source, universe_domain, use_mtls_endpoint ): """Return the API endpoint used by the client. Args: api_override (str): The API endpoint override. If specified, this is always the return value of this function and the other arguments are not used. client_cert_source (bytes): The client certificate source used by the client. universe_domain (str): The universe domain used by the client. use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. Possible values are "always", "auto", or "never". Returns: str: The API endpoint to be used by the client. """ if api_override is not None: api_endpoint = api_override elif use_mtls_endpoint == "always" or ( use_mtls_endpoint == "auto" and client_cert_source ): _default_universe = TranslationServiceClient._DEFAULT_UNIVERSE if universe_domain != _default_universe: raise MutualTLSChannelError( f"mTLS is not supported in any universe other than {_default_universe}." ) api_endpoint = TranslationServiceClient.DEFAULT_MTLS_ENDPOINT else: api_endpoint = TranslationServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( UNIVERSE_DOMAIN=universe_domain ) return api_endpoint @staticmethod def _get_universe_domain( client_universe_domain: Optional[str], universe_domain_env: Optional[str] ) -> str: """Return the universe domain used by the client. Args: client_universe_domain (Optional[str]): The universe domain configured via the client options. universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. Returns: str: The universe domain to be used by the client. Raises: ValueError: If the universe domain is an empty string. """ universe_domain = TranslationServiceClient._DEFAULT_UNIVERSE if client_universe_domain is not None: universe_domain = client_universe_domain elif universe_domain_env is not None: universe_domain = universe_domain_env if len(universe_domain.strip()) == 0: raise ValueError("Universe Domain cannot be an empty string.") return universe_domain @staticmethod def _compare_universes( client_universe: str, credentials: ga_credentials.Credentials ) -> bool: """Returns True iff the universe domains used by the client and credentials match. Args: client_universe (str): The universe domain configured via the client options. credentials (ga_credentials.Credentials): The credentials being used in the client. Returns: bool: True iff client_universe matches the universe in credentials. Raises: ValueError: when client_universe does not match the universe in credentials. """ if credentials: credentials_universe = credentials.universe_domain if client_universe != credentials_universe: default_universe = TranslationServiceClient._DEFAULT_UNIVERSE raise ValueError( "The configured universe domain " f"({client_universe}) does not match the universe domain " f"found in the credentials ({credentials_universe}). " "If you haven't configured the universe domain explicitly, " f"`{default_universe}` is the default." ) return True def _validate_universe_domain(self): """Validates client's and credentials' universe domains are consistent. Returns: bool: True iff the configured universe domain is valid. Raises: ValueError: If the configured universe domain is not valid. """ self._is_universe_domain_valid = ( self._is_universe_domain_valid or TranslationServiceClient._compare_universes( self.universe_domain, self.transport._credentials ) ) return self._is_universe_domain_valid @property def api_endpoint(self): """Return the API endpoint used by the client instance. Returns: str: The API endpoint used by the client instance. """ return self._api_endpoint @property def universe_domain(self) -> str: """Return the universe domain used by the client instance. Returns: str: The universe domain used by the client instance. """ return self._universe_domain def __init__( self, *, credentials: Optional[ga_credentials.Credentials] = None, transport: Optional[Union[str, TranslationServiceTransport]] = None, client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, ) -> None: """Instantiates the translation service client. Args: credentials (Optional[google.auth.credentials.Credentials]): The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. transport (Union[str, TranslationServiceTransport]): The transport to use. If set to None, a transport is chosen automatically. client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the client. 1. The ``api_endpoint`` property can be used to override the default endpoint provided by the client when ``transport`` is not explicitly provided. Only if this property is not set and ``transport`` was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the ``client_cert_source`` property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The ``universe_domain`` property can be used to override the default "googleapis.com" universe. Note that the ``api_endpoint`` property still takes precedence; and ``universe_domain`` is currently not supported for mTLS. 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. Raises: google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport creation failed for any reason. """ self._client_options = client_options if isinstance(self._client_options, dict): self._client_options = client_options_lib.from_dict(self._client_options) if self._client_options is None: self._client_options = client_options_lib.ClientOptions() self._client_options = cast( client_options_lib.ClientOptions, self._client_options ) universe_domain_opt = getattr(self._client_options, "universe_domain", None) ( self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env, ) = TranslationServiceClient._read_environment_variables() self._client_cert_source = TranslationServiceClient._get_client_cert_source( self._client_options.client_cert_source, self._use_client_cert ) self._universe_domain = TranslationServiceClient._get_universe_domain( universe_domain_opt, self._universe_domain_env ) self._api_endpoint = None # updated below, depending on `transport` # Initialize the universe domain validation. self._is_universe_domain_valid = False api_key_value = getattr(self._client_options, "api_key", None) if api_key_value and credentials: raise ValueError( "client_options.api_key and credentials are mutually exclusive" ) # Save or instantiate the transport. # Ordinarily, we provide the transport, but allowing a custom transport # instance provides an extensibility point for unusual situations. transport_provided = isinstance(transport, TranslationServiceTransport) if transport_provided: # transport is a TranslationServiceTransport instance. if credentials or self._client_options.credentials_file or api_key_value: raise ValueError( "When providing a transport instance, " "provide its credentials directly." ) if self._client_options.scopes: raise ValueError( "When providing a transport instance, provide its scopes " "directly." ) self._transport = cast(TranslationServiceTransport, transport) self._api_endpoint = self._transport.host self._api_endpoint = ( self._api_endpoint or TranslationServiceClient._get_api_endpoint( self._client_options.api_endpoint, self._client_cert_source, self._universe_domain, self._use_mtls_endpoint, ) ) if not transport_provided: import google.auth._default # type: ignore if api_key_value and hasattr( google.auth._default, "get_api_key_credentials" ): credentials = google.auth._default.get_api_key_credentials( api_key_value ) Transport = type(self).get_transport_class(cast(str, transport)) self._transport = Transport( credentials=credentials, credentials_file=self._client_options.credentials_file, host=self._api_endpoint, scopes=self._client_options.scopes, client_cert_source_for_mtls=self._client_cert_source, quota_project_id=self._client_options.quota_project_id, client_info=client_info, always_use_jwt_access=True, api_audience=self._client_options.api_audience, ) def translate_text( self, request: Optional[Union[translation_service.TranslateTextRequest, dict]] = None, *, parent: Optional[str] = None, target_language_code: Optional[str] = None, contents: Optional[MutableSequence[str]] = None, model: Optional[str] = None, mime_type: Optional[str] = None, source_language_code: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> translation_service.TranslateTextResponse: r"""Translates input text and returns translated text. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_translate_text(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.TranslateTextRequest( contents=['contents_value1', 'contents_value2'], target_language_code="target_language_code_value", parent="parent_value", ) # Make the request response = client.translate_text(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.TranslateTextRequest, dict]): The request object. The request message for synchronous translation. parent (str): Required. Project or location to make a call. Must refer to a caller's project. Format: ``projects/{project-number-or-id}`` or ``projects/{project-number-or-id}/locations/{location-id}``. For global calls, use ``projects/{project-number-or-id}/locations/global`` or ``projects/{project-number-or-id}``. Non-global location is required for requests using AutoML models or custom glossaries. Models and glossaries must be within the same region (have same location-id), otherwise an INVALID_ARGUMENT (400) error is returned. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. target_language_code (str): Required. The ISO-639 language code to use for translation of the input text, set to one of the language codes listed in Language Support. This corresponds to the ``target_language_code`` field on the ``request`` instance; if ``request`` is provided, this should not be set. contents (MutableSequence[str]): Required. The content of the input in string format. We recommend the total content be less than 30,000 codepoints. The max length of this field is 1024. Use BatchTranslateText for larger text. This corresponds to the ``contents`` field on the ``request`` instance; if ``request`` is provided, this should not be set. model (str): Optional. The ``model`` type requested for this translation. The format depends on model type: - AutoML Translation models: ``projects/{project-number-or-id}/locations/{location-id}/models/{model-id}`` - General (built-in) models: ``projects/{project-number-or-id}/locations/{location-id}/models/general/nmt``, For global (non-regionalized) requests, use ``location-id`` ``global``. For example, ``projects/{project-number-or-id}/locations/global/models/general/nmt``. If not provided, the default Google model (NMT) will be used This corresponds to the ``model`` field on the ``request`` instance; if ``request`` is provided, this should not be set. mime_type (str): Optional. The format of the source text, for example, "text/html", "text/plain". If left blank, the MIME type defaults to "text/html". This corresponds to the ``mime_type`` field on the ``request`` instance; if ``request`` is provided, this should not be set. source_language_code (str): Optional. The ISO-639 language code of the input text if known, for example, "en-US" or "sr-Latn". Supported language codes are listed in Language Support. If the source language isn't specified, the API attempts to identify the source language automatically and returns the source language within the response. This corresponds to the ``source_language_code`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.TranslateTextResponse: """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any( [ parent, target_language_code, contents, model, mime_type, source_language_code, ] ) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a translation_service.TranslateTextRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.TranslateTextRequest): request = translation_service.TranslateTextRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if target_language_code is not None: request.target_language_code = target_language_code if contents is not None: request.contents = contents if model is not None: request.model = model if mime_type is not None: request.mime_type = mime_type if source_language_code is not None: request.source_language_code = source_language_code # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.translate_text] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def detect_language( self, request: Optional[ Union[translation_service.DetectLanguageRequest, dict] ] = None, *, parent: Optional[str] = None, model: Optional[str] = None, mime_type: Optional[str] = None, content: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> translation_service.DetectLanguageResponse: r"""Detects the language of text within a request. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_detect_language(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.DetectLanguageRequest( content="content_value", parent="parent_value", ) # Make the request response = client.detect_language(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.DetectLanguageRequest, dict]): The request object. The request message for language detection. parent (str): Required. Project or location to make a call. Must refer to a caller's project. Format: ``projects/{project-number-or-id}/locations/{location-id}`` or ``projects/{project-number-or-id}``. For global calls, use ``projects/{project-number-or-id}/locations/global`` or ``projects/{project-number-or-id}``. Only models within the same region (has same location-id) can be used. Otherwise an INVALID_ARGUMENT (400) error is returned. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. model (str): Optional. The language detection model to be used. Format: ``projects/{project-number-or-id}/locations/{location-id}/models/language-detection/{model-id}`` Only one language detection model is currently supported: ``projects/{project-number-or-id}/locations/{location-id}/models/language-detection/default``. If not specified, the default model is used. This corresponds to the ``model`` field on the ``request`` instance; if ``request`` is provided, this should not be set. mime_type (str): Optional. The format of the source text, for example, "text/html", "text/plain". If left blank, the MIME type defaults to "text/html". This corresponds to the ``mime_type`` field on the ``request`` instance; if ``request`` is provided, this should not be set. content (str): The content of the input stored as a string. This corresponds to the ``content`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.DetectLanguageResponse: The response message for language detection. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent, model, mime_type, content]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a translation_service.DetectLanguageRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.DetectLanguageRequest): request = translation_service.DetectLanguageRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if model is not None: request.model = model if mime_type is not None: request.mime_type = mime_type if content is not None: request.content = content # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.detect_language] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def get_supported_languages( self, request: Optional[ Union[translation_service.GetSupportedLanguagesRequest, dict] ] = None, *, parent: Optional[str] = None, model: Optional[str] = None, display_language_code: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> translation_service.SupportedLanguages: r"""Returns a list of supported languages for translation. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_get_supported_languages(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.GetSupportedLanguagesRequest( parent="parent_value", ) # Make the request response = client.get_supported_languages(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.GetSupportedLanguagesRequest, dict]): The request object. The request message for discovering supported languages. parent (str): Required. Project or location to make a call. Must refer to a caller's project. Format: ``projects/{project-number-or-id}`` or ``projects/{project-number-or-id}/locations/{location-id}``. For global calls, use ``projects/{project-number-or-id}/locations/global`` or ``projects/{project-number-or-id}``. Non-global location is required for AutoML models. Only models within the same region (have same location-id) can be used, otherwise an INVALID_ARGUMENT (400) error is returned. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. model (str): Optional. Get supported languages of this model. The format depends on model type: - AutoML Translation models: ``projects/{project-number-or-id}/locations/{location-id}/models/{model-id}`` - General (built-in) models: ``projects/{project-number-or-id}/locations/{location-id}/models/general/nmt``, Returns languages supported by the specified model. If missing, we get supported languages of Google general NMT model. This corresponds to the ``model`` field on the ``request`` instance; if ``request`` is provided, this should not be set. display_language_code (str): Optional. The language to use to return localized, human readable names of supported languages. If missing, then display names are not returned in a response. This corresponds to the ``display_language_code`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.SupportedLanguages: The response message for discovering supported languages. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent, model, display_language_code]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a translation_service.GetSupportedLanguagesRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.GetSupportedLanguagesRequest): request = translation_service.GetSupportedLanguagesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if model is not None: request.model = model if display_language_code is not None: request.display_language_code = display_language_code # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.get_supported_languages] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def translate_document( self, request: Optional[ Union[translation_service.TranslateDocumentRequest, dict] ] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> translation_service.TranslateDocumentResponse: r"""Translates documents in synchronous mode. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_translate_document(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) document_input_config = translate_v3.DocumentInputConfig() document_input_config.content = b'content_blob' request = translate_v3.TranslateDocumentRequest( parent="parent_value", target_language_code="target_language_code_value", document_input_config=document_input_config, ) # Make the request response = client.translate_document(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.TranslateDocumentRequest, dict]): The request object. A document translation request. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.TranslateDocumentResponse: A translated document response message. """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a translation_service.TranslateDocumentRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.TranslateDocumentRequest): request = translation_service.TranslateDocumentRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.translate_document] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def batch_translate_text( self, request: Optional[ Union[translation_service.BatchTranslateTextRequest, dict] ] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operation.Operation: r"""Translates a large volume of text in asynchronous batch mode. This function provides real-time output as the inputs are being processed. If caller cancels a request, the partial results (for an input file, it's all or nothing) may still be available on the specified output location. This call returns immediately and you can use google.longrunning.Operation.name to poll the status of the call. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_batch_translate_text(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) input_configs = translate_v3.InputConfig() input_configs.gcs_source.input_uri = "input_uri_value" output_config = translate_v3.OutputConfig() output_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value" request = translate_v3.BatchTranslateTextRequest( parent="parent_value", source_language_code="source_language_code_value", target_language_codes=['target_language_codes_value1', 'target_language_codes_value2'], input_configs=input_configs, output_config=output_config, ) # Make the request operation = client.batch_translate_text(request=request) print("Waiting for operation to complete...") response = operation.result() # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.BatchTranslateTextRequest, dict]): The request object. The batch translation request. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.api_core.operation.Operation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.translate_v3.types.BatchTranslateResponse` Stored in the [google.longrunning.Operation.response][google.longrunning.Operation.response] field returned by BatchTranslateText if at least one sentence is translated successfully. """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a translation_service.BatchTranslateTextRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.BatchTranslateTextRequest): request = translation_service.BatchTranslateTextRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.batch_translate_text] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Wrap the response in an operation future. response = operation.from_gapic( response, self._transport.operations_client, translation_service.BatchTranslateResponse, metadata_type=translation_service.BatchTranslateMetadata, ) # Done; return the response. return response def batch_translate_document( self, request: Optional[ Union[translation_service.BatchTranslateDocumentRequest, dict] ] = None, *, parent: Optional[str] = None, source_language_code: Optional[str] = None, target_language_codes: Optional[MutableSequence[str]] = None, input_configs: Optional[ MutableSequence[translation_service.BatchDocumentInputConfig] ] = None, output_config: Optional[translation_service.BatchDocumentOutputConfig] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operation.Operation: r"""Translates a large volume of document in asynchronous batch mode. This function provides real-time output as the inputs are being processed. If caller cancels a request, the partial results (for an input file, it's all or nothing) may still be available on the specified output location. This call returns immediately and you can use google.longrunning.Operation.name to poll the status of the call. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_batch_translate_document(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) input_configs = translate_v3.BatchDocumentInputConfig() input_configs.gcs_source.input_uri = "input_uri_value" output_config = translate_v3.BatchDocumentOutputConfig() output_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value" request = translate_v3.BatchTranslateDocumentRequest( parent="parent_value", source_language_code="source_language_code_value", target_language_codes=['target_language_codes_value1', 'target_language_codes_value2'], input_configs=input_configs, output_config=output_config, ) # Make the request operation = client.batch_translate_document(request=request) print("Waiting for operation to complete...") response = operation.result() # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.BatchTranslateDocumentRequest, dict]): The request object. The BatchTranslateDocument request. parent (str): Required. Location to make a regional call. Format: ``projects/{project-number-or-id}/locations/{location-id}``. The ``global`` location is not supported for batch translation. Only AutoML Translation models or glossaries within the same region (have the same location-id) can be used, otherwise an INVALID_ARGUMENT (400) error is returned. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. source_language_code (str): Required. The ISO-639 language code of the input document if known, for example, "en-US" or "sr-Latn". Supported language codes are listed in `Language Support `__. This corresponds to the ``source_language_code`` field on the ``request`` instance; if ``request`` is provided, this should not be set. target_language_codes (MutableSequence[str]): Required. The ISO-639 language code to use for translation of the input document. Specify up to 10 language codes here. This corresponds to the ``target_language_codes`` field on the ``request`` instance; if ``request`` is provided, this should not be set. input_configs (MutableSequence[google.cloud.translate_v3.types.BatchDocumentInputConfig]): Required. Input configurations. The total number of files matched should be <= 100. The total content size to translate should be <= 100M Unicode codepoints. The files must use UTF-8 encoding. This corresponds to the ``input_configs`` field on the ``request`` instance; if ``request`` is provided, this should not be set. output_config (google.cloud.translate_v3.types.BatchDocumentOutputConfig): Required. Output configuration. If 2 input configs match to the same file (that is, same input path), we don't generate output for duplicate inputs. This corresponds to the ``output_config`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.api_core.operation.Operation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.translate_v3.types.BatchTranslateDocumentResponse` Stored in the [google.longrunning.Operation.response][google.longrunning.Operation.response] field returned by BatchTranslateDocument if at least one document is translated successfully. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any( [ parent, source_language_code, target_language_codes, input_configs, output_config, ] ) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a translation_service.BatchTranslateDocumentRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.BatchTranslateDocumentRequest): request = translation_service.BatchTranslateDocumentRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if source_language_code is not None: request.source_language_code = source_language_code if target_language_codes is not None: request.target_language_codes = target_language_codes if input_configs is not None: request.input_configs = input_configs if output_config is not None: request.output_config = output_config # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.batch_translate_document] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Wrap the response in an operation future. response = operation.from_gapic( response, self._transport.operations_client, translation_service.BatchTranslateDocumentResponse, metadata_type=translation_service.BatchTranslateDocumentMetadata, ) # Done; return the response. return response def create_glossary( self, request: Optional[ Union[translation_service.CreateGlossaryRequest, dict] ] = None, *, parent: Optional[str] = None, glossary: Optional[translation_service.Glossary] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operation.Operation: r"""Creates a glossary and returns the long-running operation. Returns NOT_FOUND, if the project doesn't exist. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_create_glossary(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) glossary = translate_v3.Glossary() glossary.name = "name_value" request = translate_v3.CreateGlossaryRequest( parent="parent_value", glossary=glossary, ) # Make the request operation = client.create_glossary(request=request) print("Waiting for operation to complete...") response = operation.result() # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.CreateGlossaryRequest, dict]): The request object. Request message for CreateGlossary. parent (str): Required. The project name. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. glossary (google.cloud.translate_v3.types.Glossary): Required. The glossary to create. This corresponds to the ``glossary`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.api_core.operation.Operation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.translate_v3.types.Glossary` Represents a glossary built from user-provided data. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent, glossary]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a translation_service.CreateGlossaryRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.CreateGlossaryRequest): request = translation_service.CreateGlossaryRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if glossary is not None: request.glossary = glossary # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.create_glossary] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Wrap the response in an operation future. response = operation.from_gapic( response, self._transport.operations_client, translation_service.Glossary, metadata_type=translation_service.CreateGlossaryMetadata, ) # Done; return the response. return response def list_glossaries( self, request: Optional[ Union[translation_service.ListGlossariesRequest, dict] ] = None, *, parent: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.ListGlossariesPager: r"""Lists glossaries in a project. Returns NOT_FOUND, if the project doesn't exist. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_list_glossaries(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.ListGlossariesRequest( parent="parent_value", ) # Make the request page_result = client.list_glossaries(request=request) # Handle the response for response in page_result: print(response) Args: request (Union[google.cloud.translate_v3.types.ListGlossariesRequest, dict]): The request object. Request message for ListGlossaries. parent (str): Required. The name of the project from which to list all of the glossaries. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.services.translation_service.pagers.ListGlossariesPager: Response message for ListGlossaries. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a translation_service.ListGlossariesRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.ListGlossariesRequest): request = translation_service.ListGlossariesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.list_glossaries] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.ListGlossariesPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response def get_glossary( self, request: Optional[Union[translation_service.GetGlossaryRequest, dict]] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> translation_service.Glossary: r"""Gets a glossary. Returns NOT_FOUND, if the glossary doesn't exist. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_get_glossary(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.GetGlossaryRequest( name="name_value", ) # Make the request response = client.get_glossary(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.GetGlossaryRequest, dict]): The request object. Request message for GetGlossary. name (str): Required. The name of the glossary to retrieve. This corresponds to the ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.Glossary: Represents a glossary built from user-provided data. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a translation_service.GetGlossaryRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.GetGlossaryRequest): request = translation_service.GetGlossaryRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.get_glossary] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def delete_glossary( self, request: Optional[ Union[translation_service.DeleteGlossaryRequest, dict] ] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operation.Operation: r"""Deletes a glossary, or cancels glossary construction if the glossary isn't created yet. Returns NOT_FOUND, if the glossary doesn't exist. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_delete_glossary(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.DeleteGlossaryRequest( name="name_value", ) # Make the request operation = client.delete_glossary(request=request) print("Waiting for operation to complete...") response = operation.result() # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.DeleteGlossaryRequest, dict]): The request object. Request message for DeleteGlossary. name (str): Required. The name of the glossary to delete. This corresponds to the ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.api_core.operation.Operation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.translate_v3.types.DeleteGlossaryResponse` Stored in the [google.longrunning.Operation.response][google.longrunning.Operation.response] field returned by DeleteGlossary. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a translation_service.DeleteGlossaryRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, translation_service.DeleteGlossaryRequest): request = translation_service.DeleteGlossaryRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.delete_glossary] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Wrap the response in an operation future. response = operation.from_gapic( response, self._transport.operations_client, translation_service.DeleteGlossaryResponse, metadata_type=translation_service.DeleteGlossaryMetadata, ) # Done; return the response. return response def create_adaptive_mt_dataset( self, request: Optional[ Union[adaptive_mt.CreateAdaptiveMtDatasetRequest, dict] ] = None, *, parent: Optional[str] = None, adaptive_mt_dataset: Optional[adaptive_mt.AdaptiveMtDataset] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> adaptive_mt.AdaptiveMtDataset: r"""Creates an Adaptive MT dataset. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_create_adaptive_mt_dataset(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) adaptive_mt_dataset = translate_v3.AdaptiveMtDataset() adaptive_mt_dataset.name = "name_value" request = translate_v3.CreateAdaptiveMtDatasetRequest( parent="parent_value", adaptive_mt_dataset=adaptive_mt_dataset, ) # Make the request response = client.create_adaptive_mt_dataset(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.CreateAdaptiveMtDatasetRequest, dict]): The request object. Request message for creating an AdaptiveMtDataset. parent (str): Required. Name of the parent project. In form of ``projects/{project-number-or-id}/locations/{location-id}`` This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. adaptive_mt_dataset (google.cloud.translate_v3.types.AdaptiveMtDataset): Required. The AdaptiveMtDataset to be created. This corresponds to the ``adaptive_mt_dataset`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.AdaptiveMtDataset: An Adaptive MT Dataset. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent, adaptive_mt_dataset]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.CreateAdaptiveMtDatasetRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.CreateAdaptiveMtDatasetRequest): request = adaptive_mt.CreateAdaptiveMtDatasetRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if adaptive_mt_dataset is not None: request.adaptive_mt_dataset = adaptive_mt_dataset # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.create_adaptive_mt_dataset ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def delete_adaptive_mt_dataset( self, request: Optional[ Union[adaptive_mt.DeleteAdaptiveMtDatasetRequest, dict] ] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> None: r"""Deletes an Adaptive MT dataset, including all its entries and associated metadata. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_delete_adaptive_mt_dataset(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.DeleteAdaptiveMtDatasetRequest( name="name_value", ) # Make the request client.delete_adaptive_mt_dataset(request=request) Args: request (Union[google.cloud.translate_v3.types.DeleteAdaptiveMtDatasetRequest, dict]): The request object. Request message for deleting an AdaptiveMtDataset. name (str): Required. Name of the dataset. In the form of ``projects/{project-number-or-id}/locations/{location-id}/adaptiveMtDatasets/{adaptive-mt-dataset-id}`` This corresponds to the ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.DeleteAdaptiveMtDatasetRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.DeleteAdaptiveMtDatasetRequest): request = adaptive_mt.DeleteAdaptiveMtDatasetRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.delete_adaptive_mt_dataset ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) def get_adaptive_mt_dataset( self, request: Optional[Union[adaptive_mt.GetAdaptiveMtDatasetRequest, dict]] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> adaptive_mt.AdaptiveMtDataset: r"""Gets the Adaptive MT dataset. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_get_adaptive_mt_dataset(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.GetAdaptiveMtDatasetRequest( name="name_value", ) # Make the request response = client.get_adaptive_mt_dataset(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.GetAdaptiveMtDatasetRequest, dict]): The request object. Request message for getting an Adaptive MT dataset. name (str): Required. Name of the dataset. In the form of ``projects/{project-number-or-id}/locations/{location-id}/adaptiveMtDatasets/{adaptive-mt-dataset-id}`` This corresponds to the ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.AdaptiveMtDataset: An Adaptive MT Dataset. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.GetAdaptiveMtDatasetRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.GetAdaptiveMtDatasetRequest): request = adaptive_mt.GetAdaptiveMtDatasetRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.get_adaptive_mt_dataset] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def list_adaptive_mt_datasets( self, request: Optional[ Union[adaptive_mt.ListAdaptiveMtDatasetsRequest, dict] ] = None, *, parent: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.ListAdaptiveMtDatasetsPager: r"""Lists all Adaptive MT datasets for which the caller has read permission. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_list_adaptive_mt_datasets(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.ListAdaptiveMtDatasetsRequest( parent="parent_value", ) # Make the request page_result = client.list_adaptive_mt_datasets(request=request) # Handle the response for response in page_result: print(response) Args: request (Union[google.cloud.translate_v3.types.ListAdaptiveMtDatasetsRequest, dict]): The request object. Request message for listing all Adaptive MT datasets that the requestor has access to. parent (str): Required. The resource name of the project from which to list the Adaptive MT datasets. ``projects/{project-number-or-id}/locations/{location-id}`` This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtDatasetsPager: A list of AdaptiveMtDatasets. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.ListAdaptiveMtDatasetsRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.ListAdaptiveMtDatasetsRequest): request = adaptive_mt.ListAdaptiveMtDatasetsRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.list_adaptive_mt_datasets ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.ListAdaptiveMtDatasetsPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response def adaptive_mt_translate( self, request: Optional[Union[adaptive_mt.AdaptiveMtTranslateRequest, dict]] = None, *, parent: Optional[str] = None, content: Optional[MutableSequence[str]] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> adaptive_mt.AdaptiveMtTranslateResponse: r"""Translate text using Adaptive MT. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_adaptive_mt_translate(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.AdaptiveMtTranslateRequest( parent="parent_value", dataset="dataset_value", content=['content_value1', 'content_value2'], ) # Make the request response = client.adaptive_mt_translate(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.AdaptiveMtTranslateRequest, dict]): The request object. The request for sending an AdaptiveMt translation query. parent (str): Required. Location to make a regional call. Format: ``projects/{project-number-or-id}/locations/{location-id}``. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. content (MutableSequence[str]): Required. The content of the input in string format. For now only one sentence per request is supported. This corresponds to the ``content`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.AdaptiveMtTranslateResponse: An AdaptiveMtTranslate response. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent, content]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.AdaptiveMtTranslateRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.AdaptiveMtTranslateRequest): request = adaptive_mt.AdaptiveMtTranslateRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if content is not None: request.content = content # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.adaptive_mt_translate] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def get_adaptive_mt_file( self, request: Optional[Union[adaptive_mt.GetAdaptiveMtFileRequest, dict]] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> adaptive_mt.AdaptiveMtFile: r"""Gets and AdaptiveMtFile .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_get_adaptive_mt_file(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.GetAdaptiveMtFileRequest( name="name_value", ) # Make the request response = client.get_adaptive_mt_file(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.GetAdaptiveMtFileRequest, dict]): The request object. The request for getting an AdaptiveMtFile. name (str): Required. The resource name of the file, in form of ``projects/{project-number-or-id}/locations/{location_id}/adaptiveMtDatasets/{dataset}/adaptiveMtFiles/{file}`` This corresponds to the ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.AdaptiveMtFile: An AdaptiveMtFile. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.GetAdaptiveMtFileRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.GetAdaptiveMtFileRequest): request = adaptive_mt.GetAdaptiveMtFileRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.get_adaptive_mt_file] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def delete_adaptive_mt_file( self, request: Optional[Union[adaptive_mt.DeleteAdaptiveMtFileRequest, dict]] = None, *, name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> None: r"""Deletes an AdaptiveMtFile along with its sentences. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_delete_adaptive_mt_file(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.DeleteAdaptiveMtFileRequest( name="name_value", ) # Make the request client.delete_adaptive_mt_file(request=request) Args: request (Union[google.cloud.translate_v3.types.DeleteAdaptiveMtFileRequest, dict]): The request object. The request for deleting an AdaptiveMt file. name (str): Required. The resource name of the file to delete, in form of ``projects/{project-number-or-id}/locations/{location_id}/adaptiveMtDatasets/{dataset}/adaptiveMtFiles/{file}`` This corresponds to the ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.DeleteAdaptiveMtFileRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.DeleteAdaptiveMtFileRequest): request = adaptive_mt.DeleteAdaptiveMtFileRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.delete_adaptive_mt_file] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) def import_adaptive_mt_file( self, request: Optional[Union[adaptive_mt.ImportAdaptiveMtFileRequest, dict]] = None, *, parent: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> adaptive_mt.ImportAdaptiveMtFileResponse: r"""Imports an AdaptiveMtFile and adds all of its sentences into the AdaptiveMtDataset. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_import_adaptive_mt_file(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) file_input_source = translate_v3.FileInputSource() file_input_source.mime_type = "mime_type_value" file_input_source.content = b'content_blob' file_input_source.display_name = "display_name_value" request = translate_v3.ImportAdaptiveMtFileRequest( file_input_source=file_input_source, parent="parent_value", ) # Make the request response = client.import_adaptive_mt_file(request=request) # Handle the response print(response) Args: request (Union[google.cloud.translate_v3.types.ImportAdaptiveMtFileRequest, dict]): The request object. The request for importing an AdaptiveMt file along with its sentences. parent (str): Required. The resource name of the file, in form of ``projects/{project-number-or-id}/locations/{location_id}/adaptiveMtDatasets/{dataset}`` This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.types.ImportAdaptiveMtFileResponse: The response for importing an AdaptiveMtFile """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.ImportAdaptiveMtFileRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.ImportAdaptiveMtFileRequest): request = adaptive_mt.ImportAdaptiveMtFileRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.import_adaptive_mt_file] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def list_adaptive_mt_files( self, request: Optional[Union[adaptive_mt.ListAdaptiveMtFilesRequest, dict]] = None, *, parent: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.ListAdaptiveMtFilesPager: r"""Lists all AdaptiveMtFiles associated to an AdaptiveMtDataset. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_list_adaptive_mt_files(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.ListAdaptiveMtFilesRequest( parent="parent_value", ) # Make the request page_result = client.list_adaptive_mt_files(request=request) # Handle the response for response in page_result: print(response) Args: request (Union[google.cloud.translate_v3.types.ListAdaptiveMtFilesRequest, dict]): The request object. The request to list all AdaptiveMt files under a given dataset. parent (str): Required. The resource name of the project from which to list the Adaptive MT files. ``projects/{project}/locations/{location}/adaptiveMtDatasets/{dataset}`` This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtFilesPager: The response for listing all AdaptiveMt files under a given dataset. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.ListAdaptiveMtFilesRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.ListAdaptiveMtFilesRequest): request = adaptive_mt.ListAdaptiveMtFilesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.list_adaptive_mt_files] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.ListAdaptiveMtFilesPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response def list_adaptive_mt_sentences( self, request: Optional[ Union[adaptive_mt.ListAdaptiveMtSentencesRequest, dict] ] = None, *, parent: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.ListAdaptiveMtSentencesPager: r"""Lists all AdaptiveMtSentences under a given file/dataset. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import translate_v3 def sample_list_adaptive_mt_sentences(): # Create a client client = translate_v3.TranslationServiceClient() # Initialize request argument(s) request = translate_v3.ListAdaptiveMtSentencesRequest( parent="parent_value", ) # Make the request page_result = client.list_adaptive_mt_sentences(request=request) # Handle the response for response in page_result: print(response) Args: request (Union[google.cloud.translate_v3.types.ListAdaptiveMtSentencesRequest, dict]): The request object. The request for listing Adaptive MT sentences from a Dataset/File. parent (str): Required. The resource name of the project from which to list the Adaptive MT files. The following format lists all sentences under a file. ``projects/{project}/locations/{location}/adaptiveMtDatasets/{dataset}/adaptiveMtFiles/{file}`` The following format lists all sentences within a dataset. ``projects/{project}/locations/{location}/adaptiveMtDatasets/{dataset}`` This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtSentencesPager: List AdaptiveMt sentences response. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a adaptive_mt.ListAdaptiveMtSentencesRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, adaptive_mt.ListAdaptiveMtSentencesRequest): request = adaptive_mt.ListAdaptiveMtSentencesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.list_adaptive_mt_sentences ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Validate the universe domain. self._validate_universe_domain() # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.ListAdaptiveMtSentencesPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response def __enter__(self) -> "TranslationServiceClient": return self def __exit__(self, type, value, traceback): """Releases underlying transport's resources. .. warning:: ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients! """ self.transport.close() DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( gapic_version=package_version.__version__ ) __all__ = ("TranslationServiceClient",)