Class TranslationServiceAsyncClient (3.15.2)

Version 3.15.2

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TranslationServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.translate_v3.services.translation_service.transports.base.TranslationServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Provides natural language translation operations.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type	Description
str	The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type	Description
TranslationServiceTransport	The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type	Description
str	The universe domain used by the client instance.

Methods

TranslationServiceAsyncClient

TranslationServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.translate_v3.services.translation_service.transports.base.TranslationServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the translation service async client.

Parameters
Name	Description
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 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.

Exceptions
Type	Description
google.auth.exceptions.MutualTlsChannelError	If mutual TLS transport creation failed for any reason.

adaptive_mt_dataset_path

adaptive_mt_dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified adaptive_mt_dataset string.

adaptive_mt_file_path

adaptive_mt_file_path(project: str, location: str, dataset: str, file: str) -> str

Returns a fully-qualified adaptive_mt_file string.

adaptive_mt_sentence_path

adaptive_mt_sentence_path(
    project: str, location: str, dataset: str, file: str, sentence: str
) -> str

Returns a fully-qualified adaptive_mt_sentence string.

adaptive_mt_translate

adaptive_mt_translate(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.AdaptiveMtTranslateRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    content: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.adaptive_mt.AdaptiveMtTranslateResponse

Translate text using Adaptive MT.

# 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

async def sample_adaptive_mt_translate():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # Initialize request argument(s)
    request = translate_v3.AdaptiveMtTranslateRequest(
        parent="parent_value",
        dataset="dataset_value",
        content=['content_value1', 'content_value2'],
    )

    # Make the request
    response = await client.adaptive_mt_translate(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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	:class: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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.types.AdaptiveMtTranslateResponse	An AdaptiveMtTranslate response.

batch_translate_document

batch_translate_document(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.BatchTranslateDocumentRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    source_language_code: typing.Optional[str] = None,
    target_language_codes: typing.Optional[typing.MutableSequence[str]] = None,
    input_configs: typing.Optional[
        typing.MutableSequence[
            google.cloud.translate_v3.types.translation_service.BatchDocumentInputConfig
        ]
    ] = None,
    output_config: typing.Optional[
        google.cloud.translate_v3.types.translation_service.BatchDocumentOutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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.

# 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

async def sample_batch_translate_document():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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 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	:class: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	:class: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	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_async.AsyncRetry 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
Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be BatchTranslateDocumentResponse Stored in the google.longrunning.Operation.response][google.longrunning.Operation.response] field returned by BatchTranslateDocument if at least one document is translated successfully.

batch_translate_text

batch_translate_text(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.BatchTranslateTextRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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.

# 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

async def sample_batch_translate_text():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.translate_v3.types.BatchTranslateTextRequest, dict]] The request object. The batch translation request.
retry	google.api_core.retry_async.AsyncRetry 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
Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be BatchTranslateResponse Stored in the google.longrunning.Operation.response][google.longrunning.Operation.response] field returned by BatchTranslateText if at least one sentence is translated successfully.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_adaptive_mt_dataset

create_adaptive_mt_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.CreateAdaptiveMtDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    adaptive_mt_dataset: typing.Optional[
        google.cloud.translate_v3.types.adaptive_mt.AdaptiveMtDataset
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.adaptive_mt.AdaptiveMtDataset

Creates an Adaptive MT dataset.

# 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

async def sample_create_adaptive_mt_dataset():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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 = await client.create_adaptive_mt_dataset(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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	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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.types.AdaptiveMtDataset	An Adaptive MT Dataset.

create_glossary

create_glossary(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.CreateGlossaryRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    glossary: typing.Optional[
        google.cloud.translate_v3.types.translation_service.Glossary
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a glossary and returns the long-running operation. Returns NOT_FOUND, if the project doesn't exist.

# 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

async def sample_create_glossary():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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	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_async.AsyncRetry 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
Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Glossary Represents a glossary built from user-provided data.

delete_adaptive_mt_dataset

delete_adaptive_mt_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.DeleteAdaptiveMtDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes an Adaptive MT dataset, including all its entries and associated metadata.

# 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

async def sample_delete_adaptive_mt_dataset():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # Initialize request argument(s)
    request = translate_v3.DeleteAdaptiveMtDatasetRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_adaptive_mt_dataset(request=request)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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.

delete_adaptive_mt_file

delete_adaptive_mt_file(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.DeleteAdaptiveMtFileRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes an AdaptiveMtFile along with its sentences.

# 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

async def sample_delete_adaptive_mt_file():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # Initialize request argument(s)
    request = translate_v3.DeleteAdaptiveMtFileRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_adaptive_mt_file(request=request)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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.

delete_glossary

delete_glossary(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.DeleteGlossaryRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a glossary, or cancels glossary construction if the glossary isn't created yet. Returns NOT_FOUND, if the glossary doesn't exist.

# 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

async def sample_delete_glossary():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be DeleteGlossaryResponse Stored in the google.longrunning.Operation.response][google.longrunning.Operation.response] field returned by DeleteGlossary.

detect_language

detect_language(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.DetectLanguageRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[str] = None,
    mime_type: typing.Optional[str] = None,
    content: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.translation_service.DetectLanguageResponse

Detects the language of text within a request.

# 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

async def sample_detect_language():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # Initialize request argument(s)
    request = translate_v3.DetectLanguageRequest(
        content="content_value",
        parent="parent_value",
    )

    # Make the request
    response = await client.detect_language(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.types.DetectLanguageResponse	The response message for language detection.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
filename	str The path to the service account private key json file.

Returns
Type	Description
TranslationServiceAsyncClient	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
Name	Description
info	dict The service account private key info.

Returns
Type	Description
TranslationServiceAsyncClient	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
filename	str The path to the service account private key json file.

Returns
Type	Description
TranslationServiceAsyncClient	The constructed client.

get_adaptive_mt_dataset

get_adaptive_mt_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.GetAdaptiveMtDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.adaptive_mt.AdaptiveMtDataset

Gets the Adaptive MT dataset.

# 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

async def sample_get_adaptive_mt_dataset():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # Initialize request argument(s)
    request = translate_v3.GetAdaptiveMtDatasetRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_adaptive_mt_dataset(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.types.AdaptiveMtDataset	An Adaptive MT Dataset.

get_adaptive_mt_file

get_adaptive_mt_file(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.GetAdaptiveMtFileRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.adaptive_mt.AdaptiveMtFile

Gets and AdaptiveMtFile

# 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

async def sample_get_adaptive_mt_file():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # Initialize request argument(s)
    request = translate_v3.GetAdaptiveMtFileRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_adaptive_mt_file(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.types.AdaptiveMtFile	An AdaptiveMtFile.

get_glossary

get_glossary(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.GetGlossaryRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.translation_service.Glossary

Gets a glossary. Returns NOT_FOUND, if the glossary doesn't exist.

# 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

async def sample_get_glossary():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # Initialize request argument(s)
    request = translate_v3.GetGlossaryRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_glossary(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.types.Glossary	Represents a glossary built from user-provided data.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

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.

Parameter
Name	Description
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.

Exceptions
Type	Description
google.auth.exceptions.MutualTLSChannelError	If any errors happen.

Returns
Type	Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]]	returns the API endpoint and the client cert source to use.

get_supported_languages

get_supported_languages(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.GetSupportedLanguagesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[str] = None,
    display_language_code: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.translation_service.SupportedLanguages

Returns a list of supported languages for translation.

# 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

async def sample_get_supported_languages():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # Initialize request argument(s)
    request = translate_v3.GetSupportedLanguagesRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.get_supported_languages(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.types.SupportedLanguages	The response message for discovering supported languages.

get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.translate_v3.services.translation_service.transports.base.TranslationServiceTransport
    ]
)

Returns an appropriate transport class.

Parameter
Name	Description
label	typing.Optional[str] The name of the desired transport. If none is provided, then the first transport in the registry is used.

glossary_path

glossary_path(project: str, location: str, glossary: str) -> str

Returns a fully-qualified glossary string.

import_adaptive_mt_file

import_adaptive_mt_file(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.ImportAdaptiveMtFileRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.adaptive_mt.ImportAdaptiveMtFileResponse

Imports an AdaptiveMtFile and adds all of its sentences into the AdaptiveMtDataset.

# 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

async def sample_import_adaptive_mt_file():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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 = await client.import_adaptive_mt_file(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.types.ImportAdaptiveMtFileResponse	The response for importing an AdaptiveMtFile

list_adaptive_mt_datasets

list_adaptive_mt_datasets(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.ListAdaptiveMtDatasetsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtDatasetsAsyncPager
)

Lists all Adaptive MT datasets for which the caller has read permission.

# 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

async def sample_list_adaptive_mt_datasets():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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
    async for response in page_result:
        print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtDatasetsAsyncPager	A list of AdaptiveMtDatasets. Iterating over this object will yield results and resolve additional pages automatically.

list_adaptive_mt_files

list_adaptive_mt_files(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.ListAdaptiveMtFilesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtFilesAsyncPager
)

Lists all AdaptiveMtFiles associated to an AdaptiveMtDataset.

# 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

async def sample_list_adaptive_mt_files():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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
    async for response in page_result:
        print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtFilesAsyncPager	The response for listing all AdaptiveMt files under a given dataset. Iterating over this object will yield results and resolve additional pages automatically.

list_adaptive_mt_sentences

list_adaptive_mt_sentences(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.adaptive_mt.ListAdaptiveMtSentencesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtSentencesAsyncPager
)

Lists all AdaptiveMtSentences under a given file/dataset.

# 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

async def sample_list_adaptive_mt_sentences():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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
    async for response in page_result:
        print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtSentencesAsyncPager	List AdaptiveMt sentences response. Iterating over this object will yield results and resolve additional pages automatically.

list_glossaries

list_glossaries(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.ListGlossariesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.translate_v3.services.translation_service.pagers.ListGlossariesAsyncPager
)

Lists glossaries in a project. Returns NOT_FOUND, if the project doesn't exist.

# 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

async def sample_list_glossaries():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # Initialize request argument(s)
    request = translate_v3.ListGlossariesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_glossaries(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
request	Optional[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_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.services.translation_service.pagers.ListGlossariesAsyncPager	Response message for ListGlossaries. Iterating over this object will yield results and resolve additional pages automatically.

parse_adaptive_mt_dataset_path

parse_adaptive_mt_dataset_path(path: str) -> typing.Dict[str, str]

Parses a adaptive_mt_dataset path into its component segments.

parse_adaptive_mt_file_path

parse_adaptive_mt_file_path(path: str) -> typing.Dict[str, str]

Parses a adaptive_mt_file path into its component segments.

parse_adaptive_mt_sentence_path

parse_adaptive_mt_sentence_path(path: str) -> typing.Dict[str, str]

Parses a adaptive_mt_sentence path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_glossary_path

parse_glossary_path(path: str) -> typing.Dict[str, str]

Parses a glossary path into its component segments.

translate_document

translate_document(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.TranslateDocumentRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.translation_service.TranslateDocumentResponse

Translates documents in synchronous mode.

# 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

async def sample_translate_document():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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 = await client.translate_document(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.translate_v3.types.TranslateDocumentRequest, dict]] The request object. A document translation request.
retry	google.api_core.retry_async.AsyncRetry 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
Type	Description
google.cloud.translate_v3.types.TranslateDocumentResponse	A translated document response message.

translate_text

translate_text(
    request: typing.Optional[
        typing.Union[
            google.cloud.translate_v3.types.translation_service.TranslateTextRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    target_language_code: typing.Optional[str] = None,
    contents: typing.Optional[typing.MutableSequence[str]] = None,
    model: typing.Optional[str] = None,
    mime_type: typing.Optional[str] = None,
    source_language_code: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.translate_v3.types.translation_service.TranslateTextResponse

Translates input text and returns translated text.

# 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

async def sample_translate_text():
    # Create a client
    client = translate_v3.TranslationServiceAsyncClient()

    # 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 = await client.translate_text(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[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	:class: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_async.AsyncRetry 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.