EngineServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.discoveryengine_v1alpha.services.engine_service.transports.base.EngineServiceTransport, typing.Callable[[...], google.cloud.discoveryengine_v1alpha.services.engine_service.transports.base.EngineServiceTransport]]] = '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>)
Service for managing Engine configuration.
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 |
EngineServiceTransport |
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
EngineServiceAsyncClient
EngineServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.discoveryengine_v1alpha.services.engine_service.transports.base.EngineServiceTransport, typing.Callable[[...], google.cloud.discoveryengine_v1alpha.services.engine_service.transports.base.EngineServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the engine service async client.
Parameters | |
---|---|
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Optional[Union[str,EngineServiceTransport,Callable[..., EngineServiceTransport]]]
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 EngineServiceTransport 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. |
cancel_operation
cancel_operation(
request: typing.Optional[
google.longrunning.operations_pb2.CancelOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None
Starts asynchronous cancellation on a long-running operation.
The server makes a best effort to cancel the operation, but success
is not guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
collection_path
collection_path(project: str, location: str, collection: str) -> str
Returns a fully-qualified collection 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.
create_engine
create_engine(
request: typing.Optional[
typing.Union[
google.cloud.discoveryengine_v1alpha.types.engine_service.CreateEngineRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
engine: typing.Optional[
google.cloud.discoveryengine_v1alpha.types.engine.Engine
] = None,
engine_id: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation
Creates a xref_Engine.
# 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 discoveryengine_v1alpha
async def sample_create_engine():
# Create a client
client = discoveryengine_v1alpha.EngineServiceAsyncClient()
# Initialize request argument(s)
engine = discoveryengine_v1alpha.Engine()
engine.display_name = "display_name_value"
engine.solution_type = "SOLUTION_TYPE_GENERATIVE_CHAT"
request = discoveryengine_v1alpha.CreateEngineRequest(
parent="parent_value",
engine=engine,
engine_id="engine_id_value",
)
# Make the request
operation = client.create_engine(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.discoveryengine_v1alpha.types.CreateEngineRequest, dict]]
The request object. Request for EngineService.CreateEngine method. |
parent |
Required. The parent resource name, such as |
engine |
Engine
Required. The Engine to create. This corresponds to the |
engine_id |
Required. The ID to use for the Engine, which will become the final component of the Engine's resource name. This field must conform to |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be Engine Metadata that describes the training and serving parameters of an Engine. |
delete_engine
delete_engine(
request: typing.Optional[
typing.Union[
google.cloud.discoveryengine_v1alpha.types.engine_service.DeleteEngineRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation
Deletes a xref_Engine.
# 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 discoveryengine_v1alpha
async def sample_delete_engine():
# Create a client
client = discoveryengine_v1alpha.EngineServiceAsyncClient()
# Initialize request argument(s)
request = discoveryengine_v1alpha.DeleteEngineRequest(
name="name_value",
)
# Make the request
operation = client.delete_engine(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.discoveryengine_v1alpha.types.DeleteEngineRequest, dict]]
The request object. Request message for EngineService.DeleteEngine method. |
name |
Required. Full resource name of Engine, such as |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
engine_path
engine_path(project: str, location: str, collection: str, engine: str) -> str
Returns a fully-qualified engine 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 |
EngineServiceAsyncClient |
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 |
EngineServiceAsyncClient |
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 |
EngineServiceAsyncClient |
The constructed client. |
get_engine
get_engine(
request: typing.Optional[
typing.Union[
google.cloud.discoveryengine_v1alpha.types.engine_service.GetEngineRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.discoveryengine_v1alpha.types.engine.Engine
Gets a xref_Engine.
# 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 discoveryengine_v1alpha
async def sample_get_engine():
# Create a client
client = discoveryengine_v1alpha.EngineServiceAsyncClient()
# Initialize request argument(s)
request = discoveryengine_v1alpha.GetEngineRequest(
name="name_value",
)
# Make the request
response = await client.get_engine(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.discoveryengine_v1alpha.types.GetEngineRequest, dict]]
The request object. Request message for EngineService.GetEngine method. |
name |
Required. Full resource name of Engine, such as |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.discoveryengine_v1alpha.types.Engine |
Metadata that describes the training and serving parameters of an Engine. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: typing.Optional[
google.api_core.client_options.ClientOptions
] = None,
)
Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is not "true", the
client cert source is None.
(2) if client_options.client_cert_source
is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if client_options.api_endpoint
if provided, use the provided one.
(2) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is "always", use the
default mTLS endpoint; if the environment variable is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Parameter | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
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_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.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_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
|
An Operation object. |
get_transport_class
get_transport_class() -> (
typing.Type[
google.cloud.discoveryengine_v1alpha.services.engine_service.transports.base.EngineServiceTransport
]
)
Returns an appropriate transport class.
Parameter | |
---|---|
Name | Description |
label |
typing.Optional[str]
The name of the desired transport. If none is provided, then the first transport in the registry is used. |
list_engines
list_engines(
request: typing.Optional[
typing.Union[
google.cloud.discoveryengine_v1alpha.types.engine_service.ListEnginesRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
google.cloud.discoveryengine_v1alpha.services.engine_service.pagers.ListEnginesAsyncPager
)
Lists all the xref_Engines associated with the project.
# 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 discoveryengine_v1alpha
async def sample_list_engines():
# Create a client
client = discoveryengine_v1alpha.EngineServiceAsyncClient()
# Initialize request argument(s)
request = discoveryengine_v1alpha.ListEnginesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_engines(request=request)
# Handle the response
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.discoveryengine_v1alpha.types.ListEnginesRequest, dict]]
The request object. Request message for EngineService.ListEngines method. |
parent |
Required. The parent resource name, such as |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.discoveryengine_v1alpha.services.engine_service.pagers.ListEnginesAsyncPager |
Response message for EngineService.ListEngines method. Iterating over this object will yield results and resolve additional pages automatically. |
list_operations
list_operations(
request: typing.Optional[
google.longrunning.operations_pb2.ListOperationsRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.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_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
|
Response message for ListOperations method. |
parse_collection_path
parse_collection_path(path: str) -> typing.Dict[str, str]
Parses a collection path into its component segments.
parse_common_billing_account_path
parse_common_billing_account_path(path: str) -> typing.Dict[str, str]
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str) -> typing.Dict[str, str]
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str) -> typing.Dict[str, str]
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str) -> typing.Dict[str, str]
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str) -> typing.Dict[str, str]
Parse a project path into its component segments.
parse_engine_path
parse_engine_path(path: str) -> typing.Dict[str, str]
Parses a engine path into its component segments.
pause_engine
pause_engine(
request: typing.Optional[
typing.Union[
google.cloud.discoveryengine_v1alpha.types.engine_service.PauseEngineRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.discoveryengine_v1alpha.types.engine.Engine
Pauses the training of an existing engine. Only applicable if xref_SolutionType is xref_SOLUTION_TYPE_RECOMMENDATION.
# 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 discoveryengine_v1alpha
async def sample_pause_engine():
# Create a client
client = discoveryengine_v1alpha.EngineServiceAsyncClient()
# Initialize request argument(s)
request = discoveryengine_v1alpha.PauseEngineRequest(
name="name_value",
)
# Make the request
response = await client.pause_engine(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.discoveryengine_v1alpha.types.PauseEngineRequest, dict]]
The request object. Request for pausing training of an engine. |
name |
Required. The name of the engine to pause. Format: |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.discoveryengine_v1alpha.types.Engine |
Metadata that describes the training and serving parameters of an Engine. |
resume_engine
resume_engine(
request: typing.Optional[
typing.Union[
google.cloud.discoveryengine_v1alpha.types.engine_service.ResumeEngineRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.discoveryengine_v1alpha.types.engine.Engine
Resumes the training of an existing engine. Only applicable if xref_SolutionType is xref_SOLUTION_TYPE_RECOMMENDATION.
# 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 discoveryengine_v1alpha
async def sample_resume_engine():
# Create a client
client = discoveryengine_v1alpha.EngineServiceAsyncClient()
# Initialize request argument(s)
request = discoveryengine_v1alpha.ResumeEngineRequest(
name="name_value",
)
# Make the request
response = await client.resume_engine(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.discoveryengine_v1alpha.types.ResumeEngineRequest, dict]]
The request object. Request for resuming training of an engine. |
name |
Required. The name of the engine to resume. Format: |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.discoveryengine_v1alpha.types.Engine |
Metadata that describes the training and serving parameters of an Engine. |
tune_engine
tune_engine(
request: typing.Optional[
typing.Union[
google.cloud.discoveryengine_v1alpha.types.engine_service.TuneEngineRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation
Tunes an existing engine. Only applicable if xref_SolutionType is xref_SOLUTION_TYPE_RECOMMENDATION.
# 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 discoveryengine_v1alpha
async def sample_tune_engine():
# Create a client
client = discoveryengine_v1alpha.EngineServiceAsyncClient()
# Initialize request argument(s)
request = discoveryengine_v1alpha.TuneEngineRequest(
name="name_value",
)
# Make the request
operation = client.tune_engine(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.discoveryengine_v1alpha.types.TuneEngineRequest, dict]]
The request object. Request to manually start a tuning process now (instead of waiting for the periodically scheduled tuning to happen). |
name |
Required. The resource name of the engine to tune. Format: |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be TuneEngineResponse Response associated with a tune operation. |
update_engine
update_engine(
request: typing.Optional[
typing.Union[
google.cloud.discoveryengine_v1alpha.types.engine_service.UpdateEngineRequest,
dict,
]
] = None,
*,
engine: typing.Optional[
google.cloud.discoveryengine_v1alpha.types.engine.Engine
] = None,
update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.discoveryengine_v1alpha.types.engine.Engine
Updates an xref_Engine
# 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 discoveryengine_v1alpha
async def sample_update_engine():
# Create a client
client = discoveryengine_v1alpha.EngineServiceAsyncClient()
# Initialize request argument(s)
engine = discoveryengine_v1alpha.Engine()
engine.display_name = "display_name_value"
engine.solution_type = "SOLUTION_TYPE_GENERATIVE_CHAT"
request = discoveryengine_v1alpha.UpdateEngineRequest(
engine=engine,
)
# Make the request
response = await client.update_engine(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.discoveryengine_v1alpha.types.UpdateEngineRequest, dict]]
The request object. Request message for EngineService.UpdateEngine method. |
engine |
Engine
Required. The Engine to update. If the caller does not have permission to update the Engine, regardless of whether or not it exists, a PERMISSION_DENIED error is returned. If the Engine to update does not exist, a NOT_FOUND error is returned. This corresponds to the |
update_mask |
Indicates which fields in the provided Engine to update. If an unsupported or unknown field is provided, an INVALID_ARGUMENT error is returned. This corresponds to the |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.discoveryengine_v1alpha.types.Engine |
Metadata that describes the training and serving parameters of an Engine. |