GenerativeQuestionService¶
- class google.cloud.retail_v2beta.services.generative_question_service.GenerativeQuestionServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.retail_v2beta.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport, typing.Callable[[...], google.cloud.retail_v2beta.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶
Service for managing LLM generated questions in search serving.
Instantiates the generative question service async client.
- Parameters
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 to use. 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 whentransport
is not explicitly provided. Only if this property is not set andtransport
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 thatapi_endpoint
property still takes precedence; anduniverse_domain
is currently not supported for mTLS.client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If
None
, then default info will be used. Generally, you only need to set this if you’re developing your own client library.
- Raises
google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.
- property api_endpoint¶
Return the API endpoint used by the client instance.
- Returns
The API endpoint used by the client instance.
- Return type
- async batch_update_generative_question_configs(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.BatchUpdateGenerativeQuestionConfigsRequest, dict]] = None, *, parent: Optional[str] = None, requests: Optional[MutableSequence[google.cloud.retail_v2beta.types.generative_question_service.UpdateGenerativeQuestionConfigRequest]] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question_service.BatchUpdateGenerativeQuestionConfigsResponse [source]¶
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_v2beta async def sample_batch_update_generative_question_configs(): # Create a client client = retail_v2beta.GenerativeQuestionServiceAsyncClient() # Initialize request argument(s) requests = retail_v2beta.UpdateGenerativeQuestionConfigRequest() requests.generative_question_config.catalog = "catalog_value" requests.generative_question_config.facet = "facet_value" request = retail_v2beta.BatchUpdateGenerativeQuestionConfigsRequest( requests=requests, ) # Make the request response = await client.batch_update_generative_question_configs(request=request) # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.retail_v2beta.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 therequest
instance; ifrequest
is provided, this should not be set.requests (
MutableSequence[google.cloud.retail_v2beta.types.UpdateGenerativeQuestionConfigRequest]
) –Required. The updates question configs.
This corresponds to the
requests
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Aggregated response for UpdateGenerativeQuestionConfig method.
- Return type
google.cloud.retail_v2beta.types.BatchUpdateGenerativeQuestionConfigsResponse
- static catalog_path(project: str, location: str, catalog: str) str ¶
Returns a fully-qualified catalog string.
- static common_billing_account_path(billing_account: str) str ¶
Returns a fully-qualified billing_account string.
- static common_location_path(project: str, location: str) str ¶
Returns a fully-qualified location string.
- static common_organization_path(organization: str) str ¶
Returns a fully-qualified organization string.
- classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶
- Creates an instance of this client using the provided credentials
file.
- Parameters
filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶
- Creates an instance of this client using the provided credentials
info.
- Parameters
info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- classmethod from_service_account_json(filename: str, *args, **kwargs)¶
- Creates an instance of this client using the provided credentials
file.
- Parameters
filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- async get_generative_questions_feature_config(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.GetGenerativeQuestionsFeatureConfigRequest, dict]] = None, *, catalog: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionsFeatureConfig [source]¶
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_v2beta async def sample_get_generative_questions_feature_config(): # Create a client client = retail_v2beta.GenerativeQuestionServiceAsyncClient() # Initialize request argument(s) request = retail_v2beta.GetGenerativeQuestionsFeatureConfigRequest( catalog="catalog_value", ) # Make the request response = await client.get_generative_questions_feature_config(request=request) # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.retail_v2beta.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 therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Configuration for overall generative question feature state.
- Return type
google.cloud.retail_v2beta.types.GenerativeQuestionsFeatureConfig
- classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶
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.
- Parameters
client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.
- Returns
- returns the API endpoint and the
client cert source to use.
- Return type
- Raises
google.auth.exceptions.MutualTLSChannelError – If any errors happen.
- async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.longrunning.operations_pb2.Operation [source]¶
Gets the latest state of a long-running operation.
- Parameters
request (
GetOperationRequest
) – The request object. Request message for GetOperation method.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
An
Operation
object.- Return type
Operation
- classmethod get_transport_class(label: Optional[str] = None) Type[google.cloud.retail_v2beta.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport] ¶
Returns an appropriate transport class.
- Parameters
label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
- Returns
The transport class to use.
- async list_generative_question_configs(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.ListGenerativeQuestionConfigsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question_service.ListGenerativeQuestionConfigsResponse [source]¶
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_v2beta async def sample_list_generative_question_configs(): # Create a client client = retail_v2beta.GenerativeQuestionServiceAsyncClient() # Initialize request argument(s) request = retail_v2beta.ListGenerativeQuestionConfigsRequest( parent="parent_value", ) # Make the request response = await client.list_generative_question_configs(request=request) # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.retail_v2beta.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 therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Response for ListQuestions method.
- Return type
google.cloud.retail_v2beta.types.ListGenerativeQuestionConfigsResponse
- async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.longrunning.operations_pb2.ListOperationsResponse [source]¶
Lists operations that match the specified filter in the request.
- Parameters
request (
ListOperationsRequest
) – The request object. Request message for ListOperations method.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Response message for
ListOperations
method.- Return type
ListOperationsResponse
- static parse_catalog_path(path: str) Dict[str, str] ¶
Parses a catalog path into its component segments.
- static parse_common_billing_account_path(path: str) Dict[str, str] ¶
Parse a billing_account path into its component segments.
- static parse_common_folder_path(path: str) Dict[str, str] ¶
Parse a folder path into its component segments.
- static parse_common_location_path(path: str) Dict[str, str] ¶
Parse a location path into its component segments.
- static parse_common_organization_path(path: str) Dict[str, str] ¶
Parse a organization path into its component segments.
- static parse_common_project_path(path: str) Dict[str, str] ¶
Parse a project path into its component segments.
- property transport: google.cloud.retail_v2beta.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport¶
Returns the transport used by the client instance.
- Returns
The transport used by the client instance.
- Return type
GenerativeQuestionServiceTransport
- property universe_domain: str¶
Return the universe domain used by the client instance.
- Returns
- The universe domain used
by the client instance.
- Return type
- async update_generative_question_config(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.UpdateGenerativeQuestionConfigRequest, dict]] = None, *, generative_question_config: Optional[google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionConfig] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionConfig [source]¶
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_v2beta async def sample_update_generative_question_config(): # Create a client client = retail_v2beta.GenerativeQuestionServiceAsyncClient() # Initialize request argument(s) generative_question_config = retail_v2beta.GenerativeQuestionConfig() generative_question_config.catalog = "catalog_value" generative_question_config.facet = "facet_value" request = retail_v2beta.UpdateGenerativeQuestionConfigRequest( generative_question_config=generative_question_config, ) # Make the request response = await client.update_generative_question_config(request=request) # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.retail_v2beta.types.UpdateGenerativeQuestionConfigRequest, dict]]) – The request object. Request for UpdateGenerativeQuestionConfig method.
generative_question_config (
google.cloud.retail_v2beta.types.GenerativeQuestionConfig
) – Required. The question to update. This corresponds to thegenerative_question_config
field on therequest
instance; ifrequest
is provided, this should not be set.update_mask (
google.protobuf.field_mask_pb2.FieldMask
) –Optional. Indicates which fields in the provided [GenerativeQuestionConfig][google.cloud.retail.v2beta.GenerativeQuestionConfig] to update. The following are NOT supported:
[GenerativeQuestionConfig.frequency][google.cloud.retail.v2beta.GenerativeQuestionConfig.frequency]
If not set or empty, all supported fields are updated.
This corresponds to the
update_mask
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Configuration for a single generated question.
- Return type
- async update_generative_questions_feature_config(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.UpdateGenerativeQuestionsFeatureConfigRequest, dict]] = None, *, generative_questions_feature_config: Optional[google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionsFeatureConfig] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionsFeatureConfig [source]¶
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_v2beta async def sample_update_generative_questions_feature_config(): # Create a client client = retail_v2beta.GenerativeQuestionServiceAsyncClient() # Initialize request argument(s) generative_questions_feature_config = retail_v2beta.GenerativeQuestionsFeatureConfig() generative_questions_feature_config.catalog = "catalog_value" request = retail_v2beta.UpdateGenerativeQuestionsFeatureConfigRequest( generative_questions_feature_config=generative_questions_feature_config, ) # Make the request response = await client.update_generative_questions_feature_config(request=request) # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.retail_v2beta.types.UpdateGenerativeQuestionsFeatureConfigRequest, dict]]) – The request object. Request for UpdateGenerativeQuestionsFeatureConfig method.
generative_questions_feature_config (
google.cloud.retail_v2beta.types.GenerativeQuestionsFeatureConfig
) –Required. The configuration managing the feature state.
This corresponds to the
generative_questions_feature_config
field on therequest
instance; ifrequest
is provided, this should not be set.update_mask (
google.protobuf.field_mask_pb2.FieldMask
) –Optional. Indicates which fields in the provided [GenerativeQuestionsFeatureConfig][google.cloud.retail.v2beta.GenerativeQuestionsFeatureConfig] to update. If not set or empty, all supported fields are updated.
This corresponds to the
update_mask
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Configuration for overall generative question feature state.
- Return type
google.cloud.retail_v2beta.types.GenerativeQuestionsFeatureConfig
- class google.cloud.retail_v2beta.services.generative_question_service.GenerativeQuestionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.retail_v2beta.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport, typing.Callable[[...], google.cloud.retail_v2beta.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>)[source]¶
Service for managing LLM generated questions in search serving.
Instantiates the generative question service client.
- Parameters
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 whentransport
is not explicitly provided. Only if this property is not set andtransport
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 theapi_endpoint
property still takes precedence; anduniverse_domain
is currently not supported for mTLS.client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If
None
, then default info will be used. Generally, you only need to set this if you’re developing your own client library.
- Raises
google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.
- __exit__(type, value, traceback)[source]¶
Releases underlying transport’s resources.
Warning
ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!
- property api_endpoint¶
Return the API endpoint used by the client instance.
- Returns
The API endpoint used by the client instance.
- Return type
- batch_update_generative_question_configs(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.BatchUpdateGenerativeQuestionConfigsRequest, dict]] = None, *, parent: Optional[str] = None, requests: Optional[MutableSequence[google.cloud.retail_v2beta.types.generative_question_service.UpdateGenerativeQuestionConfigRequest]] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question_service.BatchUpdateGenerativeQuestionConfigsResponse [source]¶
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_v2beta def sample_batch_update_generative_question_configs(): # Create a client client = retail_v2beta.GenerativeQuestionServiceClient() # Initialize request argument(s) requests = retail_v2beta.UpdateGenerativeQuestionConfigRequest() requests.generative_question_config.catalog = "catalog_value" requests.generative_question_config.facet = "facet_value" request = retail_v2beta.BatchUpdateGenerativeQuestionConfigsRequest( requests=requests, ) # Make the request response = client.batch_update_generative_question_configs(request=request) # Handle the response print(response)
- Parameters
request (Union[google.cloud.retail_v2beta.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 therequest
instance; ifrequest
is provided, this should not be set.requests (MutableSequence[google.cloud.retail_v2beta.types.UpdateGenerativeQuestionConfigRequest]) –
Required. The updates question configs.
This corresponds to the
requests
field on therequest
instance; ifrequest
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
Aggregated response for UpdateGenerativeQuestionConfig method.
- Return type
google.cloud.retail_v2beta.types.BatchUpdateGenerativeQuestionConfigsResponse
- static catalog_path(project: str, location: str, catalog: str) str [source]¶
Returns a fully-qualified catalog string.
- static common_billing_account_path(billing_account: str) str [source]¶
Returns a fully-qualified billing_account string.
- static common_location_path(project: str, location: str) str [source]¶
Returns a fully-qualified location string.
- static common_organization_path(organization: str) str [source]¶
Returns a fully-qualified organization string.
- classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶
- Creates an instance of this client using the provided credentials
file.
- Parameters
filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶
- Creates an instance of this client using the provided credentials
info.
- Parameters
info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- classmethod from_service_account_json(filename: str, *args, **kwargs)¶
- Creates an instance of this client using the provided credentials
file.
- Parameters
filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- get_generative_questions_feature_config(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.GetGenerativeQuestionsFeatureConfigRequest, dict]] = None, *, catalog: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionsFeatureConfig [source]¶
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_v2beta def sample_get_generative_questions_feature_config(): # Create a client client = retail_v2beta.GenerativeQuestionServiceClient() # Initialize request argument(s) request = retail_v2beta.GetGenerativeQuestionsFeatureConfigRequest( catalog="catalog_value", ) # Make the request response = client.get_generative_questions_feature_config(request=request) # Handle the response print(response)
- Parameters
request (Union[google.cloud.retail_v2beta.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 therequest
instance; ifrequest
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
Configuration for overall generative question feature state.
- Return type
google.cloud.retail_v2beta.types.GenerativeQuestionsFeatureConfig
- classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶
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.
- Parameters
client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.
- Returns
- returns the API endpoint and the
client cert source to use.
- Return type
- Raises
google.auth.exceptions.MutualTLSChannelError – If any errors happen.
- get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.longrunning.operations_pb2.Operation [source]¶
Gets the latest state of a long-running operation.
- Parameters
request (
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
An
Operation
object.- Return type
Operation
- list_generative_question_configs(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.ListGenerativeQuestionConfigsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question_service.ListGenerativeQuestionConfigsResponse [source]¶
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_v2beta def sample_list_generative_question_configs(): # Create a client client = retail_v2beta.GenerativeQuestionServiceClient() # Initialize request argument(s) request = retail_v2beta.ListGenerativeQuestionConfigsRequest( parent="parent_value", ) # Make the request response = client.list_generative_question_configs(request=request) # Handle the response print(response)
- Parameters
request (Union[google.cloud.retail_v2beta.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 therequest
instance; ifrequest
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
Response for ListQuestions method.
- Return type
google.cloud.retail_v2beta.types.ListGenerativeQuestionConfigsResponse
- list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.longrunning.operations_pb2.ListOperationsResponse [source]¶
Lists operations that match the specified filter in the request.
- Parameters
request (
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
Response message for
ListOperations
method.- Return type
ListOperationsResponse
- static parse_catalog_path(path: str) Dict[str, str] [source]¶
Parses a catalog path into its component segments.
- static parse_common_billing_account_path(path: str) Dict[str, str] [source]¶
Parse a billing_account path into its component segments.
- static parse_common_folder_path(path: str) Dict[str, str] [source]¶
Parse a folder path into its component segments.
- static parse_common_location_path(path: str) Dict[str, str] [source]¶
Parse a location path into its component segments.
- static parse_common_organization_path(path: str) Dict[str, str] [source]¶
Parse a organization path into its component segments.
- static parse_common_project_path(path: str) Dict[str, str] [source]¶
Parse a project path into its component segments.
- property transport: google.cloud.retail_v2beta.services.generative_question_service.transports.base.GenerativeQuestionServiceTransport¶
Returns the transport used by the client instance.
- Returns
- The transport used by the client
instance.
- Return type
GenerativeQuestionServiceTransport
- property universe_domain: str¶
Return the universe domain used by the client instance.
- Returns
The universe domain used by the client instance.
- Return type
- update_generative_question_config(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.UpdateGenerativeQuestionConfigRequest, dict]] = None, *, generative_question_config: Optional[google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionConfig] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionConfig [source]¶
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_v2beta def sample_update_generative_question_config(): # Create a client client = retail_v2beta.GenerativeQuestionServiceClient() # Initialize request argument(s) generative_question_config = retail_v2beta.GenerativeQuestionConfig() generative_question_config.catalog = "catalog_value" generative_question_config.facet = "facet_value" request = retail_v2beta.UpdateGenerativeQuestionConfigRequest( generative_question_config=generative_question_config, ) # Make the request response = client.update_generative_question_config(request=request) # Handle the response print(response)
- Parameters
request (Union[google.cloud.retail_v2beta.types.UpdateGenerativeQuestionConfigRequest, dict]) – The request object. Request for UpdateGenerativeQuestionConfig method.
generative_question_config (google.cloud.retail_v2beta.types.GenerativeQuestionConfig) – Required. The question to update. This corresponds to the
generative_question_config
field on therequest
instance; ifrequest
is provided, this should not be set.update_mask (google.protobuf.field_mask_pb2.FieldMask) –
Optional. Indicates which fields in the provided [GenerativeQuestionConfig][google.cloud.retail.v2beta.GenerativeQuestionConfig] to update. The following are NOT supported:
[GenerativeQuestionConfig.frequency][google.cloud.retail.v2beta.GenerativeQuestionConfig.frequency]
If not set or empty, all supported fields are updated.
This corresponds to the
update_mask
field on therequest
instance; ifrequest
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
Configuration for a single generated question.
- Return type
- update_generative_questions_feature_config(request: Optional[Union[google.cloud.retail_v2beta.types.generative_question_service.UpdateGenerativeQuestionsFeatureConfigRequest, dict]] = None, *, generative_questions_feature_config: Optional[google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionsFeatureConfig] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.retail_v2beta.types.generative_question.GenerativeQuestionsFeatureConfig [source]¶
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_v2beta def sample_update_generative_questions_feature_config(): # Create a client client = retail_v2beta.GenerativeQuestionServiceClient() # Initialize request argument(s) generative_questions_feature_config = retail_v2beta.GenerativeQuestionsFeatureConfig() generative_questions_feature_config.catalog = "catalog_value" request = retail_v2beta.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
request (Union[google.cloud.retail_v2beta.types.UpdateGenerativeQuestionsFeatureConfigRequest, dict]) – The request object. Request for UpdateGenerativeQuestionsFeatureConfig method.
generative_questions_feature_config (google.cloud.retail_v2beta.types.GenerativeQuestionsFeatureConfig) –
Required. The configuration managing the feature state.
This corresponds to the
generative_questions_feature_config
field on therequest
instance; ifrequest
is provided, this should not be set.update_mask (google.protobuf.field_mask_pb2.FieldMask) –
Optional. Indicates which fields in the provided [GenerativeQuestionsFeatureConfig][google.cloud.retail.v2beta.GenerativeQuestionsFeatureConfig] to update. If not set or empty, all supported fields are updated.
This corresponds to the
update_mask
field on therequest
instance; ifrequest
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
Configuration for overall generative question feature state.
- Return type
google.cloud.retail_v2beta.types.GenerativeQuestionsFeatureConfig