As of January 1, 2020 this library no longer supports Python 2 on the latest released version.
Library versions released prior to that date will continue to be available. For more information please
visit Python 2 support on Google Cloud.
Source code for google.cloud.translate_v3.services.translation_service.client
# -*- coding: utf-8 -*-
# Copyright 2020 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
from distutils import util
import os
import re
from typing import Dict, Optional, Sequence, Tuple, Type, Union
import pkg_resources
from google.api_core import client_options as client_options_lib # type: ignore
from google.api_core import exceptions as core_exceptions # type: ignore
from google.api_core import gapic_v1 # type: ignore
from google.api_core import retry as retries # type: ignore
from google.auth import credentials as ga_credentials # type: ignore
from google.auth.transport import mtls # type: ignore
from google.auth.transport.grpc import SslCredentials # type: ignore
from google.auth.exceptions import MutualTLSChannelError # type: ignore
from google.oauth2 import service_account # type: ignore
OptionalRetry = Union[retries.Retry, object]
from google.api_core import operation # type: ignore
from google.api_core import operation_async # type: ignore
from google.cloud.translate_v3.services.translation_service import pagers
from google.cloud.translate_v3.types import translation_service
from google.protobuf import timestamp_pb2 # type: ignore
from .transports.base import TranslationServiceTransport, DEFAULT_CLIENT_INFO
from .transports.grpc import TranslationServiceGrpcTransport
from .transports.grpc_asyncio import TranslationServiceGrpcAsyncIOTransport
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
def get_transport_class(
cls, label: 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()))
[docs]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<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.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")
DEFAULT_ENDPOINT = "translate.googleapis.com"
DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore
DEFAULT_ENDPOINT
)
[docs] @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)
[docs] @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
[docs] @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,
)
[docs] @staticmethod
def parse_glossary_path(path: str) -> Dict[str, str]:
"""Parses a glossary path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/glossaries/(?P<glossary>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_billing_account_path(billing_account: str,) -> str:
"""Returns a fully-qualified billing_account string."""
return "billingAccounts/{billing_account}".format(
billing_account=billing_account,
)
[docs] @staticmethod
def parse_common_billing_account_path(path: str) -> Dict[str, str]:
"""Parse a billing_account path into its component segments."""
m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_folder_path(folder: str,) -> str:
"""Returns a fully-qualified folder string."""
return "folders/{folder}".format(folder=folder,)
[docs] @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<folder>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_organization_path(organization: str,) -> str:
"""Returns a fully-qualified organization string."""
return "organizations/{organization}".format(organization=organization,)
[docs] @staticmethod
def parse_common_organization_path(path: str) -> Dict[str, str]:
"""Parse a organization path into its component segments."""
m = re.match(r"^organizations/(?P<organization>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_project_path(project: str,) -> str:
"""Returns a fully-qualified project string."""
return "projects/{project}".format(project=project,)
[docs] @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<project>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_location_path(project: str, location: str,) -> str:
"""Returns a fully-qualified location string."""
return "projects/{project}/locations/{location}".format(
project=project, location=location,
)
[docs] @staticmethod
def parse_common_location_path(path: str) -> Dict[str, str]:
"""Parse a location path into its component segments."""
m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
return m.groupdict() if m else {}
def __init__(
self,
*,
credentials: Optional[ga_credentials.Credentials] = None,
transport: Union[str, TranslationServiceTransport, None] = None,
client_options: Optional[client_options_lib.ClientOptions] = 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 (google.api_core.client_options.ClientOptions): Custom options for the
client. It won't take effect if a ``transport`` instance is provided.
(1) The ``api_endpoint`` property can be used to override the
default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
environment variable can also be used to override the endpoint:
"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). However, the ``api_endpoint`` property takes
precedence if provided.
(2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
is "true", then the ``client_cert_source`` property can be used
to provide client certificate for mutual TLS 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.
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.
"""
if isinstance(client_options, dict):
client_options = client_options_lib.from_dict(client_options)
if client_options is None:
client_options = client_options_lib.ClientOptions()
# Create SSL credentials for mutual TLS if needed.
use_client_cert = bool(
util.strtobool(os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false"))
)
client_cert_source_func = None
is_mtls = False
if use_client_cert:
if client_options.client_cert_source:
is_mtls = True
client_cert_source_func = client_options.client_cert_source
else:
is_mtls = mtls.has_default_client_cert_source()
if is_mtls:
client_cert_source_func = mtls.default_client_cert_source()
else:
client_cert_source_func = None
# Figure out which api endpoint to use.
if client_options.api_endpoint is not None:
api_endpoint = client_options.api_endpoint
else:
use_mtls_env = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
if use_mtls_env == "never":
api_endpoint = self.DEFAULT_ENDPOINT
elif use_mtls_env == "always":
api_endpoint = self.DEFAULT_MTLS_ENDPOINT
elif use_mtls_env == "auto":
if is_mtls:
api_endpoint = self.DEFAULT_MTLS_ENDPOINT
else:
api_endpoint = self.DEFAULT_ENDPOINT
else:
raise MutualTLSChannelError(
"Unsupported GOOGLE_API_USE_MTLS_ENDPOINT value. Accepted "
"values: never, auto, always"
)
# Save or instantiate the transport.
# Ordinarily, we provide the transport, but allowing a custom transport
# instance provides an extensibility point for unusual situations.
if isinstance(transport, TranslationServiceTransport):
# transport is a TranslationServiceTransport instance.
if credentials or client_options.credentials_file:
raise ValueError(
"When providing a transport instance, "
"provide its credentials directly."
)
if client_options.scopes:
raise ValueError(
"When providing a transport instance, provide its scopes "
"directly."
)
self._transport = transport
else:
Transport = type(self).get_transport_class(transport)
self._transport = Transport(
credentials=credentials,
credentials_file=client_options.credentials_file,
host=api_endpoint,
scopes=client_options.scopes,
client_cert_source_for_mtls=client_cert_source_func,
quota_project_id=client_options.quota_project_id,
client_info=client_info,
always_use_jwt_access=True,
)
[docs] def translate_text(
self,
request: Union[translation_service.TranslateTextRequest, dict] = None,
*,
parent: str = None,
target_language_code: str = None,
contents: Sequence[str] = None,
model: str = None,
mime_type: str = None,
source_language_code: str = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> translation_service.TranslateTextResponse:
r"""Translates input text and returns translated text.
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 BCP-47 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 (Sequence[str]):
Required. The content of the input in
string format. We recommend the total
content be less than 30k 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 BCP-47 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.
# Sanity 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),)),
)
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
[docs] def detect_language(
self,
request: Union[translation_service.DetectLanguageRequest, dict] = None,
*,
parent: str = None,
model: str = None,
mime_type: str = None,
content: str = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> translation_service.DetectLanguageResponse:
r"""Detects the language of text within a request.
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.
# Sanity 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),)),
)
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
[docs] def get_supported_languages(
self,
request: Union[translation_service.GetSupportedLanguagesRequest, dict] = None,
*,
parent: str = None,
model: str = None,
display_language_code: str = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> translation_service.SupportedLanguages:
r"""Returns a list of supported languages for
translation.
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.
# Sanity 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),)),
)
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
[docs] def translate_document(
self,
request: Union[translation_service.TranslateDocumentRequest, dict] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> translation_service.TranslateDocumentResponse:
r"""Translates documents in synchronous mode.
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),)),
)
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
[docs] def batch_translate_text(
self,
request: Union[translation_service.BatchTranslateTextRequest, dict] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
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.
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),)),
)
# 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
[docs] def batch_translate_document(
self,
request: Union[translation_service.BatchTranslateDocumentRequest, dict] = None,
*,
parent: str = None,
source_language_code: str = None,
target_language_codes: Sequence[str] = None,
input_configs: Sequence[translation_service.BatchDocumentInputConfig] = None,
output_config: translation_service.BatchDocumentOutputConfig = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
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.
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 BCP-47 language code of
the input document if known, for
example, "en-US" or "sr-Latn". Supported
language codes are listed in Language
Support
(https://cloud.google.com/translate/docs/languages).
This corresponds to the ``source_language_code`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
target_language_codes (Sequence[str]):
Required. The BCP-47 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 (Sequence[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.
# Sanity 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),)),
)
# 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
[docs] def create_glossary(
self,
request: Union[translation_service.CreateGlossaryRequest, dict] = None,
*,
parent: str = None,
glossary: translation_service.Glossary = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
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.
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.
# Sanity 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),)),
)
# 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
[docs] def list_glossaries(
self,
request: Union[translation_service.ListGlossariesRequest, dict] = None,
*,
parent: str = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.ListGlossariesPager:
r"""Lists glossaries in a project. Returns NOT_FOUND, if the project
doesn't exist.
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.
# Sanity 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),)),
)
# 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
[docs] def get_glossary(
self,
request: Union[translation_service.GetGlossaryRequest, dict] = None,
*,
name: str = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> translation_service.Glossary:
r"""Gets a glossary. Returns NOT_FOUND, if the glossary doesn't
exist.
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.
# Sanity 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),)),
)
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
[docs] def delete_glossary(
self,
request: Union[translation_service.DeleteGlossaryRequest, dict] = None,
*,
name: str = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
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.
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.
# Sanity 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),)),
)
# 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 __enter__(self):
return self
[docs] 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()
try:
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
gapic_version=pkg_resources.get_distribution("google-cloud-translate",).version,
)
except pkg_resources.DistributionNotFound:
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo()
__all__ = ("TranslationServiceClient",)
