Class EngineServiceClient (0.11.9)

EngineServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.discoveryengine_v1alpha.services.engine_service.transports.base.EngineServiceTransport]] = 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 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

EngineServiceClient

EngineServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.discoveryengine_v1alpha.services.engine_service.transports.base.EngineServiceTransport]] = 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 engine service client.

Parameters
Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Union[str, EngineServiceTransport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`Optional[Union[google.api_core.client_options.ClientOptions, dict]]` Custom options for the client. 1. The `api_endpoint` property can be used to override the default endpoint provided by the client when `transport` is not explicitly provided. Only if this property is not set and `transport` was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The `universe_domain` property can be used to override the default "googleapis.com" universe. Note that the `api_endpoint` property still takes precedence; and `universe_domain` is currently not supported for mTLS.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

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

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

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.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a 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

def sample_create_engine():
    # Create a client
    client = discoveryengine_v1alpha.EngineServiceClient()

    # Initialize request argument(s)
    engine = discoveryengine_v1alpha.Engine()
    engine.display_name = "display_name_value"
    engine.solution_type = "SOLUTION_TYPE_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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.discoveryengine_v1alpha.types.CreateEngineRequest, dict]` The request object. Request for EngineService.CreateEngine method.
`parent`	`str` Required. The parent resource name, such as `projects/{project}/locations/{location}/collections/{collection}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`engine`	`google.cloud.discoveryengine_v1alpha.types.Engine` Required. The Engine to create. This corresponds to the `engine` field on the `request` instance; if `request` is provided, this should not be set.
`engine_id`	`str` 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 `RFC-1034 https://tools.ietf.org/html/rfc1034`__ standard with a length limit of 63 characters. Otherwise, an INVALID_ARGUMENT error is returned. This corresponds to the `engine_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be 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.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a 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

def sample_delete_engine():
    # Create a client
    client = discoveryengine_v1alpha.EngineServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.discoveryengine_v1alpha.types.DeleteEngineRequest, dict]` The request object. Request message for EngineService.DeleteEngine method.
`name`	`str` Required. Full resource name of Engine, such as `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}`. If the caller does not have permission to delete the Engine, regardless of whether or not it exists, a PERMISSION_DENIED error is returned. If the Engine to delete does not exist, a NOT_FOUND error is returned. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be 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
`EngineServiceClient`	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
`EngineServiceClient`	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
`EngineServiceClient`	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.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.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

def sample_get_engine():
    # Create a client
    client = discoveryengine_v1alpha.EngineServiceClient()

    # Initialize request argument(s)
    request = discoveryengine_v1alpha.GetEngineRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.discoveryengine_v1alpha.types.GetEngineRequest, dict]` The request object. Request message for EngineService.GetEngine method.
`name`	`str` Required. Full resource name of Engine, such as `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.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,
)

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

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

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

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

Parameter
Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name	Description
`request`	`.operations_pb2.GetOperationRequest` The request object. Request message for `GetOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.Operation`	An `Operation` object.

list_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.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.discoveryengine_v1alpha.services.engine_service.pagers.ListEnginesPager
)

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

def sample_list_engines():
    # Create a client
    client = discoveryengine_v1alpha.EngineServiceClient()

    # Initialize request argument(s)
    request = discoveryengine_v1alpha.ListEnginesRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.discoveryengine_v1alpha.types.ListEnginesRequest, dict]` The request object. Request message for EngineService.ListEngines method.
`parent`	`str` Required. The parent resource name, such as `projects/{project}/locations/{location}/collections/{collection_id}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.discoveryengine_v1alpha.services.engine_service.pagers.ListEnginesPager`	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.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name	Description
`request`	`.operations_pb2.ListOperationsRequest` The request object. Request message for `ListOperations` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.ListOperationsResponse`	Response message for `ListOperations` method.

parse_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.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.discoveryengine_v1alpha.types.engine.Engine

Pauses the training of an existing engine. Only applicable if [solution_type][] 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

def sample_pause_engine():
    # Create a client
    client = discoveryengine_v1alpha.EngineServiceClient()

    # Initialize request argument(s)
    request = discoveryengine_v1alpha.PauseEngineRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.discoveryengine_v1alpha.types.PauseEngineRequest, dict]` The request object. Request for pausing training of an engine.
`name`	`str` Required. The name of the engine to pause. Format: `projects/{project_number}/locations/{location_id}/collections/{collection_id}/engines/{engine_id}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.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.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.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

def sample_resume_engine():
    # Create a client
    client = discoveryengine_v1alpha.EngineServiceClient()

    # Initialize request argument(s)
    request = discoveryengine_v1alpha.ResumeEngineRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.discoveryengine_v1alpha.types.ResumeEngineRequest, dict]` The request object. Request for resuming training of an engine.
`name`	`str` Required. The name of the engine to resume. Format: `projects/{project_number}/locations/{location_id}/collections/{collection_id}/engines/{engine_id}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.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.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Tunes an existing engine. Only applicable if [solution_type][] 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

def sample_tune_engine():
    # Create a client
    client = discoveryengine_v1alpha.EngineServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`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`	`str` Required. The resource name of the engine to tune. Format: `projects/{project_number}/locations/{location_id}/collections/{collection_id}/engines/{engine_id}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	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.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.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

def sample_update_engine():
    # Create a client
    client = discoveryengine_v1alpha.EngineServiceClient()

    # Initialize request argument(s)
    engine = discoveryengine_v1alpha.Engine()
    engine.display_name = "display_name_value"
    engine.solution_type = "SOLUTION_TYPE_CHAT"

    request = discoveryengine_v1alpha.UpdateEngineRequest(
        engine=engine,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.discoveryengine_v1alpha.types.UpdateEngineRequest, dict]` The request object. Request message for EngineService.UpdateEngine method.
`engine`	`google.cloud.discoveryengine_v1alpha.types.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 `engine` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` 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 `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.discoveryengine_v1alpha.types.Engine`	Metadata that describes the training and serving parameters of an Engine.