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 |
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 |
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, typing.Union[str, bytes]]] = ()
) -> (
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 |
requests |
MutableSequence[google.cloud.retail_v2.types.UpdateGenerativeQuestionConfigRequest]
Required. The updates question configs. This corresponds to the |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
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, typing.Union[str, bytes]]] = ()
) -> 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 |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
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 |
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, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.Operation
Gets the latest state of a long-running operation.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
|
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, typing.Union[str, bytes]]] = ()
) -> (
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 |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
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, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse
Lists operations that match the specified filter in the request.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
|
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, typing.Union[str, bytes]]] = ()
) -> 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 |
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 |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
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, typing.Union[str, bytes]]] = ()
) -> 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 |
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 |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.retail_v2.types.GenerativeQuestionsFeatureConfig |
Configuration for overall generative question feature state. |