Class ManagedNotebookServiceAsyncClient (1.10.2)

ManagedNotebookServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.notebooks_v1.services.managed_notebook_service.transports.base.ManagedNotebookServiceTransport] = '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>)

API v1 service for Managed Notebooks.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
TypeDescription
strThe API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
TypeDescription
ManagedNotebookServiceTransportThe transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
TypeDescription
strThe universe domain used by the client instance.

Methods

ManagedNotebookServiceAsyncClient

ManagedNotebookServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.notebooks_v1.services.managed_notebook_service.transports.base.ManagedNotebookServiceTransport] = '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 managed notebook service async client.

Parameters
NameDescription
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, .ManagedNotebookServiceTransport]

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 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
TypeDescription
google.auth.exceptions.MutualTlsChannelErrorIf 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
NameDescription
request .operations_pb2.CancelOperationRequest

The request object. Request message for CancelOperation 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.

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_runtime

create_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.CreateRuntimeRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    runtime_id: typing.Optional[str] = None,
    runtime: typing.Optional[google.cloud.notebooks_v1.types.runtime.Runtime] = 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 new Runtime in a given project and location.

# 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 notebooks_v1

async def sample_create_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.CreateRuntimeRequest(
        parent="parent_value",
        runtime_id="runtime_id_value",
    )

    # Make the request
    operation = client.create_runtime(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.CreateRuntimeRequest, dict]]

The request object. Request for creating a Managed Notebook Runtime.

parent str

Required. Format: parent=projects/{project_id}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.

runtime_id str

Required. User-defined unique ID of this Runtime. This corresponds to the runtime_id field on the request instance; if request is provided, this should not be set.

runtime Runtime

Required. The Runtime to be created. This corresponds to the runtime field on the request instance; if request 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
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance.

delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = 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

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
NameDescription
request .operations_pb2.DeleteOperationRequest

The request object. Request message for DeleteOperation 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.

delete_runtime

delete_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.DeleteRuntimeRequest, 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 single Runtime.

# 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 notebooks_v1

async def sample_delete_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.DeleteRuntimeRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_runtime(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.DeleteRuntimeRequest, dict]]

The request object. Request for deleting a Managed Notebook Runtime.

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_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_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
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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); }

diagnose_runtime

diagnose_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.DiagnoseRuntimeRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    diagnostic_config: typing.Optional[
        google.cloud.notebooks_v1.types.diagnostic_config.DiagnosticConfig
    ] = 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 Diagnostic File and runs Diagnostic Tool given a Runtime.

# 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 notebooks_v1

async def sample_diagnose_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    diagnostic_config = notebooks_v1.DiagnosticConfig()
    diagnostic_config.gcs_bucket = "gcs_bucket_value"

    request = notebooks_v1.DiagnoseRuntimeRequest(
        name="name_value",
        diagnostic_config=diagnostic_config,
    )

    # Make the request
    operation = client.diagnose_runtime(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.DiagnoseRuntimeRequest, dict]]

The request object. Request for creating a notebook instance diagnostic file.

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtimes_id} This corresponds to the name field on the request instance; if request is provided, this should not be set.

diagnostic_config DiagnosticConfig

Required. Defines flags that are used to run the diagnostic tool This corresponds to the diagnostic_config field on the request instance; if request 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
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
ManagedNotebookServiceAsyncClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
ManagedNotebookServiceAsyncClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
ManagedNotebookServiceAsyncClientThe constructed client.

get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = 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.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Parameters
NameDescription
request .iam_policy_pb2.GetIamPolicyRequest

The request object. Request message for GetIamPolicy 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
TypeDescription
.policy_pb2.PolicyDefines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ]="" }="" **yaml="" example**="" ::="" bindings:="" -="" members:="" -="" user:mike@example.com="" -="" group:admins@example.com="" -="" domain:google.com="" -="" serviceaccount:my-project-id@appspot.gserviceaccount.com="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:eve@example.com="" role:="" roles/resourcemanager.organizationviewer="" condition:="" title:="" expirable="" access="" description:="" does="" not="" grant="" access="" after="" sep="" 2020="" expression:="" request.time="">< timestamp('2020-10-01t00:00:00.000z')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="">IAM developer's guide __.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = 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.location.locations_pb2.Location

Gets information about a location.

Parameters
NameDescription
request .location_pb2.GetLocationRequest

The request object. Request message for GetLocation 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
TypeDescription
.location_pb2.LocationLocation object.

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
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
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
NameDescription
request .operations_pb2.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
TypeDescription
.operations_pb2.OperationAn Operation object.

get_runtime

get_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.GetRuntimeRequest, 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.notebooks_v1.types.runtime.Runtime

Gets details of a single Runtime. The location must be a regional endpoint rather than zonal.

# 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 notebooks_v1

async def sample_get_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.GetRuntimeRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_runtime(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.GetRuntimeRequest, dict]]

The request object. Request for getting a Managed Notebook Runtime.

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_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_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
TypeDescription
google.cloud.notebooks_v1.types.RuntimeThe definition of a Runtime for a managed notebook instance.

get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.notebooks_v1.services.managed_notebook_service.transports.base.ManagedNotebookServiceTransport
    ]
)

Returns an appropriate transport class.

Parameter
NameDescription
label typing.Optional[str]

The name of the desired transport. If none is provided, then the first transport in the registry is used.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = 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.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
NameDescription
request .location_pb2.ListLocationsRequest

The request object. Request message for ListLocations 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
TypeDescription
.location_pb2.ListLocationsResponseResponse message for ListLocations 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_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
NameDescription
request .operations_pb2.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
TypeDescription
.operations_pb2.ListOperationsResponseResponse message for ListOperations method.

list_runtimes

list_runtimes(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.ListRuntimesRequest, 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.notebooks_v1.services.managed_notebook_service.pagers.ListRuntimesAsyncPager
)

Lists Runtimes in a given project and location.

# 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 notebooks_v1

async def sample_list_runtimes():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.ListRuntimesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.ListRuntimesRequest, dict]]

The request object. Request for listing Managed Notebook Runtimes.

parent str

Required. Format: parent=projects/{project_id}/locations/{location} This corresponds to the parent field on the request instance; if request 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
TypeDescription
google.cloud.notebooks_v1.services.managed_notebook_service.pagers.ListRuntimesAsyncPagerResponse for listing Managed Notebook Runtimes. Iterating over this object will yield results and resolve additional pages automatically.

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_runtime_path

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

Parses a runtime path into its component segments.

refresh_runtime_token_internal

refresh_runtime_token_internal(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.RefreshRuntimeTokenInternalRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    vm_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.cloud.notebooks_v1.types.managed_service.RefreshRuntimeTokenInternalResponse
)

Gets an access token for the consumer service account that the customer attached to the runtime. Only accessible from the tenant instance.

# 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 notebooks_v1

async def sample_refresh_runtime_token_internal():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.RefreshRuntimeTokenInternalRequest(
        name="name_value",
        vm_id="vm_id_value",
    )

    # Make the request
    response = await client.refresh_runtime_token_internal(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.RefreshRuntimeTokenInternalRequest, dict]]

The request object. Request for getting a new access token.

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id} This corresponds to the name field on the request instance; if request is provided, this should not be set.

vm_id str

Required. The VM hardware token for authenticating the VM. https://cloud.google.com/compute/docs/instances/verifying-instance-identity This corresponds to the vm_id field on the request instance; if request 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
TypeDescription
google.cloud.notebooks_v1.types.RefreshRuntimeTokenInternalResponseResponse with a new access token.

report_runtime_event

report_runtime_event(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.ReportRuntimeEventRequest,
            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

Report and process a runtime event.

# 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 notebooks_v1

async def sample_report_runtime_event():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.ReportRuntimeEventRequest(
        name="name_value",
        vm_id="vm_id_value",
    )

    # Make the request
    operation = client.report_runtime_event(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.ReportRuntimeEventRequest, dict]]

The request object. Request for reporting a Managed Notebook Event.

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_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_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
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance.

reset_runtime

reset_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.ResetRuntimeRequest, 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

Resets a Managed Notebook Runtime.

# 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 notebooks_v1

async def sample_reset_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.ResetRuntimeRequest(
        name="name_value",
    )

    # Make the request
    operation = client.reset_runtime(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.ResetRuntimeRequest, dict]]

The request object. Request for resetting a Managed Notebook Runtime.

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_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_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
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance.

runtime_path

runtime_path(project: str, location: str, runtime: str) -> str

Returns a fully-qualified runtime string.

set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = 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.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters
NameDescription
request .iam_policy_pb2.SetIamPolicyRequest

The request object. Request message for SetIamPolicy 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
TypeDescription
.policy_pb2.PolicyDefines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ]="" }="" **yaml="" example**="" ::="" bindings:="" -="" members:="" -="" user:mike@example.com="" -="" group:admins@example.com="" -="" domain:google.com="" -="" serviceaccount:my-project-id@appspot.gserviceaccount.com="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:eve@example.com="" role:="" roles/resourcemanager.organizationviewer="" condition:="" title:="" expirable="" access="" description:="" does="" not="" grant="" access="" after="" sep="" 2020="" expression:="" request.time="">< timestamp('2020-10-01t00:00:00.000z')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="">IAM developer's guide __.

start_runtime

start_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.StartRuntimeRequest, 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

Starts a Managed Notebook Runtime. Perform "Start" on GPU instances; "Resume" on CPU instances See:

https://cloud.google.com/compute/docs/instances/stop-start-instance https://cloud.google.com/compute/docs/instances/suspend-resume-instance

# 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 notebooks_v1

async def sample_start_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.StartRuntimeRequest(
        name="name_value",
    )

    # Make the request
    operation = client.start_runtime(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.StartRuntimeRequest, dict]]

The request object. Request for starting a Managed Notebook Runtime.

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_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_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
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance.

stop_runtime

stop_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.StopRuntimeRequest, 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

Stops a Managed Notebook Runtime. Perform "Stop" on GPU instances; "Suspend" on CPU instances See:

https://cloud.google.com/compute/docs/instances/stop-start-instance https://cloud.google.com/compute/docs/instances/suspend-resume-instance

# 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 notebooks_v1

async def sample_stop_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.StopRuntimeRequest(
        name="name_value",
    )

    # Make the request
    operation = client.stop_runtime(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.StopRuntimeRequest, dict]]

The request object. Request for stopping a Managed Notebook Runtime.

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_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_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
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance.

switch_runtime

switch_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.SwitchRuntimeRequest, 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

Switch a Managed Notebook Runtime.

# 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 notebooks_v1

async def sample_switch_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.SwitchRuntimeRequest(
        name="name_value",
    )

    # Make the request
    operation = client.switch_runtime(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.SwitchRuntimeRequest, dict]]

The request object. Request for switching a Managed Notebook Runtime.

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_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_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
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance.

test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = 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.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Parameters
NameDescription
request .iam_policy_pb2.TestIamPermissionsRequest

The request object. Request message for TestIamPermissions 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
TypeDescription
.iam_policy_pb2.TestIamPermissionsResponseResponse message for TestIamPermissions method.

update_runtime

update_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.UpdateRuntimeRequest, dict
        ]
    ] = None,
    *,
    runtime: typing.Optional[google.cloud.notebooks_v1.types.runtime.Runtime] = 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.api_core.operation_async.AsyncOperation

Update Notebook Runtime configuration.

# 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 notebooks_v1

async def sample_update_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.UpdateRuntimeRequest(
    )

    # Make the request
    operation = client.update_runtime(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.UpdateRuntimeRequest, dict]]

The request object. Request for updating a Managed Notebook configuration.

runtime Runtime

Required. The Runtime to be updated. This corresponds to the runtime field on the request instance; if request is provided, this should not be set.

update_mask google.protobuf.field_mask_pb2.FieldMask

Required. Specifies the path, relative to Runtime, of the field to update. For example, to change the software configuration kernels, the update_mask parameter would be specified as software_config.kernels, and the PATCH request body would specify the new value, as follows: :: { "software_config":{ "kernels": [{ 'repository': 'gcr.io/deeplearning-platform-release/pytorch-gpu', 'tag': 'latest' }], } } Currently, only the following fields can be updated: - software_config.kernels - software_config.post_startup_script - software_config.custom_gpu_driver_path - software_config.idle_shutdown - software_config.idle_shutdown_timeout - software_config.disable_terminal 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_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
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance.

upgrade_runtime

upgrade_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.notebooks_v1.types.managed_service.UpgradeRuntimeRequest, 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

Upgrades a Managed Notebook Runtime to the latest version.

# 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 notebooks_v1

async def sample_upgrade_runtime():
    # Create a client
    client = notebooks_v1.ManagedNotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.UpgradeRuntimeRequest(
        name="name_value",
    )

    # Make the request
    operation = client.upgrade_runtime(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.notebooks_v1.types.UpgradeRuntimeRequest, dict]]

The request object. Request for upgrading a Managed Notebook Runtime to the latest version. option (google.api.message_visibility).restriction = "TRUSTED_TESTER,SPECIAL_TESTER";

name str

Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_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_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
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Runtime The definition of a Runtime for a managed notebook instance.