Class NotebookServiceAsyncClient (1.2.1)

NotebookServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.notebooks_v1beta1.services.notebook_service.transports.base.NotebookServiceTransport] = 'grpc_asyncio', client_options: 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 v1beta1 service for Cloud AI Platform Notebooks.

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
`NotebookServiceTransport`	The transport used by the client instance.

Methods

NotebookServiceAsyncClient

NotebookServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.notebooks_v1beta1.services.notebook_service.transports.base.NotebookServiceTransport] = 'grpc_asyncio', client_options: 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 notebook 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, .NotebookServiceTransport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS 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.

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

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_environment

create_environment(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.CreateEnvironmentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a new Environment.

from google.cloud import notebooks_v1beta1

def sample_create_environment():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    environment = notebooks_v1beta1.Environment()
    environment.vm_image.image_name = "image_name_value"
    environment.vm_image.project = "project_value"

    request = notebooks_v1beta1.CreateEnvironmentRequest(
        parent="parent_value",
        environment_id="environment_id_value",
        environment=environment,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.CreateEnvironmentRequest, dict]` The request object. Request for creating a notebook environment.
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Environment Definition of a software environment that is used to start a notebook instance.

create_instance

create_instance(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.CreateInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a new Instance in a given project and location.

from google.cloud import notebooks_v1beta1

def sample_create_instance():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    instance = notebooks_v1beta1.Instance()
    instance.vm_image.image_name = "image_name_value"
    instance.vm_image.project = "project_value"
    instance.machine_type = "machine_type_value"

    request = notebooks_v1beta1.CreateInstanceRequest(
        parent="parent_value",
        instance_id="instance_id_value",
        instance=instance,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.CreateInstanceRequest, dict]` The request object. Request for creating a notebook instance.
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

delete_environment

delete_environment(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.DeleteEnvironmentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a single Environment.

from google.cloud import notebooks_v1beta1

def sample_delete_environment():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.DeleteEnvironmentRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.DeleteEnvironmentRequest, dict]` The request object. Request for deleting a notebook environment.
`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_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); } The JSON representation for Empty is empty JSON object {}.

delete_instance

delete_instance(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.DeleteInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a single Instance.

from google.cloud import notebooks_v1beta1

def sample_delete_instance():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.DeleteInstanceRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.DeleteInstanceRequest, dict]` The request object. Request for deleting a notebook instance.
`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

environment_path

environment_path(project: str, environment: str)

Returns a fully-qualified environment 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
`NotebookServiceAsyncClient`	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
`NotebookServiceAsyncClient`	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
`NotebookServiceAsyncClient`	The constructed client.

get_environment

get_environment(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.GetEnvironmentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets details of a single Environment.

from google.cloud import notebooks_v1beta1

def sample_get_environment():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.GetEnvironmentRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.GetEnvironmentRequest, dict]` The request object. Request for getting a notebook environment.
`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.notebooks_v1beta1.types.Environment`	Definition of a software environment that is used to start a notebook instance.

get_instance

get_instance(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.GetInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets details of a single Instance.

from google.cloud import notebooks_v1beta1

def sample_get_instance():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.GetInstanceRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.GetInstanceRequest, dict]` The request object. Request for getting a notebook instance.
`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.notebooks_v1beta1.types.Instance`	The definition of a notebook instance.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: 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 variabel 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_transport_class

get_transport_class()

Returns an appropriate transport class.

instance_path

instance_path(project: str, instance: str)

Returns a fully-qualified instance string.

is_instance_upgradeable

is_instance_upgradeable(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.IsInstanceUpgradeableRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Check if a notebook instance is upgradable.

from google.cloud import notebooks_v1beta1

def sample_is_instance_upgradeable():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.IsInstanceUpgradeableRequest(
        notebook_instance="notebook_instance_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.IsInstanceUpgradeableRequest, dict]` The request object. Request for checking if a notebook instance is upgradeable.
`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.notebooks_v1beta1.types.IsInstanceUpgradeableResponse`	Response for checking if a notebook instance is upgradeable.

list_environments

list_environments(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.ListEnvironmentsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists environments in a project.

from google.cloud import notebooks_v1beta1

def sample_list_environments():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.ListEnvironmentsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.ListEnvironmentsRequest, dict]` The request object. Request for listing environments.
`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.notebooks_v1beta1.services.notebook_service.pagers.ListEnvironmentsAsyncPager`	Response for listing environments. Iterating over this object will yield results and resolve additional pages automatically.

list_instances

list_instances(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.ListInstancesRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists instances in a given project and location.

from google.cloud import notebooks_v1beta1

def sample_list_instances():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.ListInstancesRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.ListInstancesRequest, dict]` The request object. Request for listing notebook instances.
`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.notebooks_v1beta1.services.notebook_service.pagers.ListInstancesAsyncPager`	Response for listing notebook instances. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_environment_path

parse_environment_path(path: str)

Parses a environment path into its component segments.

parse_instance_path

parse_instance_path(path: str)

Parses a instance path into its component segments.

register_instance

register_instance(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.RegisterInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Registers an existing legacy notebook instance to the Notebooks API server. Legacy instances are instances created with the legacy Compute Engine calls. They are not manageable by the Notebooks API out of the box. This call makes these instances manageable by the Notebooks API.

from google.cloud import notebooks_v1beta1

def sample_register_instance():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.RegisterInstanceRequest(
        parent="parent_value",
        instance_id="instance_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.RegisterInstanceRequest, dict]` The request object. Request for registering a notebook instance.
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

report_instance_info

report_instance_info(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.ReportInstanceInfoRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Allows notebook instances to report their latest instance information to the Notebooks API server. The server will merge the reported information to the instance metadata store. Do not use this method directly.

from google.cloud import notebooks_v1beta1

def sample_report_instance_info():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.ReportInstanceInfoRequest(
        name="name_value",
        vm_id="vm_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.ReportInstanceInfoRequest, dict]` The request object. Request for notebook instances to report information to Notebooks API.
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

reset_instance

reset_instance(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.ResetInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Resets a notebook instance.

from google.cloud import notebooks_v1beta1

def sample_reset_instance():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.ResetInstanceRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.ResetInstanceRequest, dict]` The request object. Request for reseting a notebook instance
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

set_instance_accelerator

set_instance_accelerator(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.SetInstanceAcceleratorRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates the guest accelerators of a single Instance.

from google.cloud import notebooks_v1beta1

def sample_set_instance_accelerator():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.SetInstanceAcceleratorRequest(
        name="name_value",
        type_="TPU_V3",
        core_count=1073,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.SetInstanceAcceleratorRequest, dict]` The request object. Request for setting instance accelerator.
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

set_instance_labels

set_instance_labels(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.SetInstanceLabelsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates the labels of an Instance.

from google.cloud import notebooks_v1beta1

def sample_set_instance_labels():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.SetInstanceLabelsRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.SetInstanceLabelsRequest, dict]` The request object. Request for setting instance labels.
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

set_instance_machine_type

set_instance_machine_type(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.SetInstanceMachineTypeRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates the machine type of a single Instance.

from google.cloud import notebooks_v1beta1

def sample_set_instance_machine_type():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.SetInstanceMachineTypeRequest(
        name="name_value",
        machine_type="machine_type_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.SetInstanceMachineTypeRequest, dict]` The request object. Request for setting instance machine type.
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

start_instance

start_instance(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.StartInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Starts a notebook instance.

from google.cloud import notebooks_v1beta1

def sample_start_instance():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.StartInstanceRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.StartInstanceRequest, dict]` The request object. Request for starting a notebook instance
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

stop_instance

stop_instance(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.StopInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Stops a notebook instance.

from google.cloud import notebooks_v1beta1

def sample_stop_instance():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.StopInstanceRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.StopInstanceRequest, dict]` The request object. Request for stopping a notebook instance
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

upgrade_instance

upgrade_instance(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.UpgradeInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Upgrades a notebook instance to the latest version.

from google.cloud import notebooks_v1beta1

def sample_upgrade_instance():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.UpgradeInstanceRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.UpgradeInstanceRequest, dict]` The request object. Request for upgrading a notebook instance
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.

upgrade_instance_internal

upgrade_instance_internal(request: Optional[Union[google.cloud.notebooks_v1beta1.types.service.UpgradeInstanceInternalRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Allows notebook instances to call this endpoint to upgrade themselves. Do not use this method directly.

from google.cloud import notebooks_v1beta1

def sample_upgrade_instance_internal():
    # Create a client
    client = notebooks_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1beta1.UpgradeInstanceInternalRequest(
        name="name_value",
        vm_id="vm_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.notebooks_v1beta1.types.UpgradeInstanceInternalRequest, dict]` The request object. Request for upgrading a notebook instance from within the VM
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Instance The definition of a notebook instance.