Class GenerativeQuestionServiceClient (1.23.1)

GenerativeQuestionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.retail_v2.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport, typing.Callable[[...], google.cloud.retail_v2.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport]]] = 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>)

Service for managing LLM generated questions in search serving.

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
`GenerativeQuestionServiceTransport`	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

GenerativeQuestionServiceClient

GenerativeQuestionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.retail_v2.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport, typing.Callable[[...], google.cloud.retail_v2.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport]]] = 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 generative question 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`	`Optional[Union[str,GenerativeQuestionServiceTransport,Callable[..., GenerativeQuestionServiceTransport]]]` The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the GenerativeQuestionServiceTransport constructor. 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.

batch_update_generative_question_configs

batch_update_generative_question_configs(
    request: typing.Optional[
        typing.Union[
            google.cloud.retail_v2.types.generative_question_service.BatchUpdateGenerativeQuestionConfigsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.retail_v2.types.generative_question_service.UpdateGenerativeQuestionConfigRequest
        ]
    ] = 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.retail_v2.types.generative_question_service.BatchUpdateGenerativeQuestionConfigsResponse
)

Allows management of multiple questions.

# 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 retail_v2

def sample_batch_update_generative_question_configs():
    # Create a client
    client = retail_v2.GenerativeQuestionServiceClient()

    # Initialize request argument(s)
    requests = retail_v2.UpdateGenerativeQuestionConfigRequest()
    requests.generative_question_config.catalog = "catalog_value"
    requests.generative_question_config.facet = "facet_value"

    request = retail_v2.BatchUpdateGenerativeQuestionConfigsRequest(
        requests=requests,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.retail_v2.types.BatchUpdateGenerativeQuestionConfigsRequest, dict]` The request object. Request for BatchUpdateGenerativeQuestionConfig method.
`parent`	`str` Optional. Resource name of the parent catalog. Format: projects/{project}/locations/{location}/catalogs/{catalog} This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`requests`	`MutableSequence[google.cloud.retail_v2.types.UpdateGenerativeQuestionConfigRequest]` Required. The updates question configs. This corresponds to the `requests` 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.retail_v2.types.BatchUpdateGenerativeQuestionConfigsResponse`	Aggregated response for UpdateGenerativeQuestionConfig method.

catalog_path

catalog_path(project: str, location: str, catalog: str) -> str

Returns a fully-qualified catalog string.

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.

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
`GenerativeQuestionServiceClient`	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
`GenerativeQuestionServiceClient`	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
`GenerativeQuestionServiceClient`	The constructed client.

get_generative_questions_feature_config

get_generative_questions_feature_config(
    request: typing.Optional[
        typing.Union[
            google.cloud.retail_v2.types.generative_question_service.GetGenerativeQuestionsFeatureConfigRequest,
            dict,
        ]
    ] = None,
    *,
    catalog: 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.retail_v2.types.generative_question.GenerativeQuestionsFeatureConfig

Manages overal generative question feature state -- enables toggling feature on and off.

# 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 retail_v2

def sample_get_generative_questions_feature_config():
    # Create a client
    client = retail_v2.GenerativeQuestionServiceClient()

    # Initialize request argument(s)
    request = retail_v2.GetGenerativeQuestionsFeatureConfigRequest(
        catalog="catalog_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.retail_v2.types.GetGenerativeQuestionsFeatureConfigRequest, dict]` The request object. Request for GetGenerativeQuestionsFeatureConfig method.
`catalog`	`str` Required. Resource name of the parent catalog. Format: projects/{project}/locations/{location}/catalogs/{catalog} This corresponds to the `catalog` 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.retail_v2.types.GenerativeQuestionsFeatureConfig`	Configuration for overall generative question feature state.

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_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = 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.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name	Description
`request`	`.operations_pb2.GetOperationRequest` The request object. Request message for `GetOperation` method.
`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
`.operations_pb2.Operation`	An `Operation` object.

list_generative_question_configs

list_generative_question_configs(
    request: typing.Optional[
        typing.Union[
            google.cloud.retail_v2.types.generative_question_service.ListGenerativeQuestionConfigsRequest,
            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.retail_v2.types.generative_question_service.ListGenerativeQuestionConfigsResponse
)

Returns all questions for a given catalog.

# 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 retail_v2

def sample_list_generative_question_configs():
    # Create a client
    client = retail_v2.GenerativeQuestionServiceClient()

    # Initialize request argument(s)
    request = retail_v2.ListGenerativeQuestionConfigsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.retail_v2.types.ListGenerativeQuestionConfigsRequest, dict]` The request object. Request for ListQuestions method.
`parent`	`str` Required. Resource name of the parent catalog. Format: projects/{project}/locations/{location}/catalogs/{catalog} 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.retail_v2.types.ListGenerativeQuestionConfigsResponse`	Response for ListQuestions method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = 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.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name	Description
`request`	`.operations_pb2.ListOperationsRequest` The request object. Request message for `ListOperations` method.
`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
`.operations_pb2.ListOperationsResponse`	Response message for `ListOperations` method.

parse_catalog_path

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

Parses a catalog 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.

update_generative_question_config

update_generative_question_config(
    request: typing.Optional[
        typing.Union[
            google.cloud.retail_v2.types.generative_question_service.UpdateGenerativeQuestionConfigRequest,
            dict,
        ]
    ] = None,
    *,
    generative_question_config: typing.Optional[
        google.cloud.retail_v2.types.generative_question.GenerativeQuestionConfig
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = 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.retail_v2.types.generative_question.GenerativeQuestionConfig

Allows management of individual questions.

# 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 retail_v2

def sample_update_generative_question_config():
    # Create a client
    client = retail_v2.GenerativeQuestionServiceClient()

    # Initialize request argument(s)
    generative_question_config = retail_v2.GenerativeQuestionConfig()
    generative_question_config.catalog = "catalog_value"
    generative_question_config.facet = "facet_value"

    request = retail_v2.UpdateGenerativeQuestionConfigRequest(
        generative_question_config=generative_question_config,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.retail_v2.types.UpdateGenerativeQuestionConfigRequest, dict]` The request object. Request for UpdateGenerativeQuestionConfig method.
`generative_question_config`	`google.cloud.retail_v2.types.GenerativeQuestionConfig` Required. The question to update. This corresponds to the `generative_question_config` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Optional. Indicates which fields in the provided GenerativeQuestionConfig to update. The following are NOT supported: - GenerativeQuestionConfig.frequency If not set or empty, all supported fields are updated. This corresponds to the `update_mask` 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.retail_v2.types.GenerativeQuestionConfig`	Configuration for a single generated question.

update_generative_questions_feature_config

update_generative_questions_feature_config(
    request: typing.Optional[
        typing.Union[
            google.cloud.retail_v2.types.generative_question_service.UpdateGenerativeQuestionsFeatureConfigRequest,
            dict,
        ]
    ] = None,
    *,
    generative_questions_feature_config: typing.Optional[
        google.cloud.retail_v2.types.generative_question.GenerativeQuestionsFeatureConfig
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = 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.retail_v2.types.generative_question.GenerativeQuestionsFeatureConfig

Manages overal generative question feature state -- enables toggling feature on and off.

# 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 retail_v2

def sample_update_generative_questions_feature_config():
    # Create a client
    client = retail_v2.GenerativeQuestionServiceClient()

    # Initialize request argument(s)
    generative_questions_feature_config = retail_v2.GenerativeQuestionsFeatureConfig()
    generative_questions_feature_config.catalog = "catalog_value"

    request = retail_v2.UpdateGenerativeQuestionsFeatureConfigRequest(
        generative_questions_feature_config=generative_questions_feature_config,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.retail_v2.types.UpdateGenerativeQuestionsFeatureConfigRequest, dict]` The request object. Request for UpdateGenerativeQuestionsFeatureConfig method.
`generative_questions_feature_config`	`google.cloud.retail_v2.types.GenerativeQuestionsFeatureConfig` Required. The configuration managing the feature state. This corresponds to the `generative_questions_feature_config` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Optional. Indicates which fields in the provided GenerativeQuestionsFeatureConfig to update. If not set or empty, all supported fields are updated. This corresponds to the `update_mask` 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.retail_v2.types.GenerativeQuestionsFeatureConfig`	Configuration for overall generative question feature state.