Class TranslationServiceClient (3.15.2)

TranslationServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.translate_v3.services.translation_service.transports.base.TranslationServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = 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

TranslationServiceClient

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

Instantiates the translation service 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 the `api_endpoint` property still takes precedence; and `universe_domain` is currently not supported for mTLS.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

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

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

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.Retry,
            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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.AdaptiveMtTranslateRequest, dict]` The request object. The request for sending an AdaptiveMt translation query.
`parent`	`str` Required. Location to make a regional call. Format: `projects/{project-number-or-id}/locations/{location-id}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`content`	`MutableSequence[str]` Required. The content of the input in string format. For now only one sentence per request is supported. This corresponds to the `content` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
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.Retry,
            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.Operation

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

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

    # Initialize request argument(s)
    input_configs = translate_v3.BatchDocumentInputConfig()
    input_configs.gcs_source.input_uri = "input_uri_value"

    output_config = translate_v3.BatchDocumentOutputConfig()
    output_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value"

    request = translate_v3.BatchTranslateDocumentRequest(
        parent="parent_value",
        source_language_code="source_language_code_value",
        target_language_codes=['target_language_codes_value1', 'target_language_codes_value2'],
        input_configs=input_configs,
        output_config=output_config,
    )

    # Make the request
    operation = client.batch_translate_document(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.BatchTranslateDocumentRequest, dict]` The request object. The BatchTranslateDocument request.
`parent`	`str` Required. Location to make a regional call. Format: `projects/{project-number-or-id}/locations/{location-id}`. The `global` location is not supported for batch translation. Only AutoML Translation models or glossaries within the same region (have the same location-id) can be used, otherwise an INVALID_ARGUMENT (400) error is returned. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`source_language_code`	`str` Required. The ISO-639 language code of the input document if known, for example, "en-US" or "sr-Latn". Supported language codes are listed in `Language Support 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`	`MutableSequence[str]` Required. The ISO-639 language code to use for translation of the input document. Specify up to 10 language codes here. This corresponds to the `target_language_codes` field on the `request` instance; if `request` is provided, this should not be set.
`input_configs`	`MutableSequence[google.cloud.translate_v3.types.BatchDocumentInputConfig]` Required. Input configurations. The total number of files matched should be <= 100. The total content size to translate should be <= 100M Unicode codepoints. The files must use UTF-8 encoding. This corresponds to the `input_configs` field on the `request` instance; if `request` is provided, this should not be set.
`output_config`	`google.cloud.translate_v3.types.BatchDocumentOutputConfig` Required. Output configuration. If 2 input configs match to the same file (that is, same input path), we don't generate output for duplicate inputs. This corresponds to the `output_config` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	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.Retry,
            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.Operation

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

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

    # Initialize request argument(s)
    input_configs = translate_v3.InputConfig()
    input_configs.gcs_source.input_uri = "input_uri_value"

    output_config = translate_v3.OutputConfig()
    output_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value"

    request = translate_v3.BatchTranslateTextRequest(
        parent="parent_value",
        source_language_code="source_language_code_value",
        target_language_codes=['target_language_codes_value1', 'target_language_codes_value2'],
        input_configs=input_configs,
        output_config=output_config,
    )

    # Make the request
    operation = client.batch_translate_text(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.api_core.operation.Operation`	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.Retry,
            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

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

    # Initialize request argument(s)
    adaptive_mt_dataset = translate_v3.AdaptiveMtDataset()
    adaptive_mt_dataset.name = "name_value"

    request = translate_v3.CreateAdaptiveMtDatasetRequest(
        parent="parent_value",
        adaptive_mt_dataset=adaptive_mt_dataset,
    )

    # Make the request
    response = client.create_adaptive_mt_dataset(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.CreateAdaptiveMtDatasetRequest, dict]` The request object. Request message for creating an AdaptiveMtDataset.
`parent`	`str` Required. Name of the parent project. In form of `projects/{project-number-or-id}/locations/{location-id}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`adaptive_mt_dataset`	`google.cloud.translate_v3.types.AdaptiveMtDataset` Required. The AdaptiveMtDataset to be created. This corresponds to the `adaptive_mt_dataset` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
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.Retry,
            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.Operation

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

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

    # Initialize request argument(s)
    glossary = translate_v3.Glossary()
    glossary.name = "name_value"

    request = translate_v3.CreateGlossaryRequest(
        parent="parent_value",
        glossary=glossary,
    )

    # Make the request
    operation = client.create_glossary(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.api_core.operation.Operation`	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.Retry,
            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

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

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.DeleteAdaptiveMtDatasetRequest, dict]` The request object. Request message for deleting an AdaptiveMtDataset.
`name`	`str` Required. Name of the dataset. In the form of `projects/{project-number-or-id}/locations/{location-id}/adaptiveMtDatasets/{adaptive-mt-dataset-id}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

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.Retry,
            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

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

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.DeleteAdaptiveMtFileRequest, dict]` The request object. The request for deleting an AdaptiveMt file.
`name`	`str` Required. The resource name of the file to delete, in form of `projects/{project-number-or-id}/locations/{location_id}/adaptiveMtDatasets/{dataset}/adaptiveMtFiles/{file}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

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.Retry,
            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.Operation

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

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

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

    # Make the request
    operation = client.delete_glossary(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.api_core.operation.Operation`	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.Retry,
            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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
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
`TranslationServiceClient`	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
`TranslationServiceClient`	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
`TranslationServiceClient`	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.Retry,
            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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.GetAdaptiveMtDatasetRequest, dict]` The request object. Request message for getting an Adaptive MT dataset.
`name`	`str` Required. Name of the dataset. In the form of `projects/{project-number-or-id}/locations/{location-id}/adaptiveMtDatasets/{adaptive-mt-dataset-id}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
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.Retry,
            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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.GetAdaptiveMtFileRequest, dict]` The request object. The request for getting an AdaptiveMtFile.
`name`	`str` Required. The resource name of the file, in form of `projects/{project-number-or-id}/locations/{location_id}/adaptiveMtDatasets/{dataset}/adaptiveMtFiles/{file}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
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.Retry,
            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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
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,
)

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

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.Retry,
            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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.translate_v3.types.SupportedLanguages`	The response message for discovering supported languages.

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.Retry,
            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

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

    # Initialize request argument(s)
    file_input_source = translate_v3.FileInputSource()
    file_input_source.mime_type = "mime_type_value"
    file_input_source.content = b'content_blob'
    file_input_source.display_name = "display_name_value"

    request = translate_v3.ImportAdaptiveMtFileRequest(
        file_input_source=file_input_source,
        parent="parent_value",
    )

    # Make the request
    response = client.import_adaptive_mt_file(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.ImportAdaptiveMtFileRequest, dict]` The request object. The request for importing an AdaptiveMt file along with its sentences.
`parent`	`str` Required. The resource name of the file, in form of `projects/{project-number-or-id}/locations/{location_id}/adaptiveMtDatasets/{dataset}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
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.Retry,
            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.ListAdaptiveMtDatasetsPager
)

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

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

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

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.ListAdaptiveMtDatasetsRequest, dict]` The request object. Request message for listing all Adaptive MT datasets that the requestor has access to.
`parent`	`str` Required. The resource name of the project from which to list the Adaptive MT datasets. `projects/{project-number-or-id}/locations/{location-id}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtDatasetsPager`	A list of AdaptiveMtDatasets. Iterating over this object will yield results and resolve additional pages automatically.

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.Retry,
            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.ListAdaptiveMtFilesPager
)

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

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

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

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.ListAdaptiveMtFilesRequest, dict]` The request object. The request to list all AdaptiveMt files under a given dataset.
`parent`	`str` Required. The resource name of the project from which to list the Adaptive MT files. `projects/{project}/locations/{location}/adaptiveMtDatasets/{dataset}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtFilesPager`	The response for listing all AdaptiveMt files under a given dataset. Iterating over this object will yield results and resolve additional pages automatically.

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.Retry,
            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.ListAdaptiveMtSentencesPager
)

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

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

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

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.ListAdaptiveMtSentencesRequest, dict]` The request object. The request for listing Adaptive MT sentences from a Dataset/File.
`parent`	`str` Required. The resource name of the project from which to list the Adaptive MT files. The following format lists all sentences under a file. `projects/{project}/locations/{location}/adaptiveMtDatasets/{dataset}/adaptiveMtFiles/{file}` The following format lists all sentences within a dataset. `projects/{project}/locations/{location}/adaptiveMtDatasets/{dataset}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.translate_v3.services.translation_service.pagers.ListAdaptiveMtSentencesPager`	List AdaptiveMt sentences response. Iterating over this object will yield results and resolve additional pages automatically.

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.Retry,
            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.ListGlossariesPager

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

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

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

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

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

Parameters
Name	Description
`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
Type	Description
`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.

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.Retry,
            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

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

    # Initialize request argument(s)
    document_input_config = translate_v3.DocumentInputConfig()
    document_input_config.content = b'content_blob'

    request = translate_v3.TranslateDocumentRequest(
        parent="parent_value",
        target_language_code="target_language_code_value",
        document_input_config=document_input_config,
    )

    # Make the request
    response = client.translate_document(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`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
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.Retry,
            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

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

    # Initialize request argument(s)
    request = translate_v3.TranslateTextRequest(
        contents=['contents_value1', 'contents_value2'],
        target_language_code="target_language_code_value",
        parent="parent_value",
    )

    # Make the request
    response = client.translate_text(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.translate_v3.types.TranslateTextRequest, dict]` The request object. The request message for synchronous translation.
`parent`	`str` Required. Project or location to make a call. Must refer to a caller's project. Format: `projects/{project-number-or-id}` or `projects/{project-number-or-id}/locations/{location-id}`. For global calls, use `projects/{project-number-or-id}/locations/global` or `projects/{project-number-or-id}`. Non-global location is required for requests using AutoML models or custom glossaries. Models and glossaries must be within the same region (have same location-id), otherwise an INVALID_ARGUMENT (400) error is returned. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`target_language_code`	`str` Required. The ISO-639 language code to use for translation of the input text, set to one of the language codes listed in Language Support. This corresponds to the `target_language_code` field on the `request` instance; if `request` is provided, this should not be set.
`contents`	`MutableSequence[str]` Required. The content of the input in string format. We recommend the total content be less than 30,000 codepoints. The max length of this field is 1024. Use BatchTranslateText for larger text. This corresponds to the `contents` field on the `request` instance; if `request` is provided, this should not be set.
`model`	`str` Optional. The `model` type requested for this translation. The format depends on model type: - AutoML Translation models: `projects/{project-number-or-id}/locations/{location-id}/models/{model-id}` - General (built-in) models: `projects/{project-number-or-id}/locations/{location-id}/models/general/nmt`, For global (non-regionalized) requests, use `location-id` `global`. For example, `projects/{project-number-or-id}/locations/global/models/general/nmt`. If not provided, the default Google model (NMT) will be used This corresponds to the `model` field on the `request` instance; if `request` is provided, this should not be set.
`mime_type`	`str` Optional. The format of the source text, for example, "text/html", "text/plain". If left blank, the MIME type defaults to "text/html". This corresponds to the `mime_type` field on the `request` instance; if `request` is provided, this should not be set.
`source_language_code`	`str` Optional. The ISO-639 language code of the input text if known, for example, "en-US" or "sr-Latn". Supported language codes are listed in Language Support. If the source language isn't specified, the API attempts to identify the source language automatically and returns the source language within the response. This corresponds to the `source_language_code` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.