Class NotebookServiceAsyncClient (1.11.1)

API v1 service for Cloud AI Platform Notebooks.

Return the API endpoint used by the client instance.

Returns the transport used by the client instance.

Return the universe domain used by the client instance.

Instantiates the notebook service async client.

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.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Creates a new Environment.

# 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_environment():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    environment = notebooks_v1.Environment()
    environment.vm_image.image_name = "image_name_value"
    environment.vm_image.project = "project_value"

    request = notebooks_v1.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 = (await operation).result()

    # Handle the response
    print(response)

Creates a new Execution 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_execution():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.CreateExecutionRequest(
        parent="parent_value",
        execution_id="execution_id_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Creates a new Instance 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_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    instance = notebooks_v1.Instance()
    instance.vm_image.image_name = "image_name_value"
    instance.vm_image.project = "project_value"
    instance.machine_type = "machine_type_value"

    request = notebooks_v1.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 = (await operation).result()

    # Handle the response
    print(response)

Creates a new Scheduled Notebook 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_schedule():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.CreateScheduleRequest(
        parent="parent_value",
        schedule_id="schedule_id_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a single Environment.

# 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_environment():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes execution

# 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_execution():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a single 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_delete_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

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.

Deletes schedule and all underlying jobs

# 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_schedule():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Creates a Diagnostic File and runs Diagnostic Tool given an 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_diagnose_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Returns a fully-qualified environment string.

Returns a fully-qualified execution string.

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

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

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

Gets details of a single Environment.

# 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_environment():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Gets details of executions

# 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_execution():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Gets the IAM access control policy for a function.

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

Gets details of a single 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_get_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Check if a notebook instance is healthy.

# 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_instance_health():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Gets information about a location.

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.

Gets the latest state of a long-running operation.

Gets details of schedule

# 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_schedule():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Returns an appropriate transport class.

Returns a fully-qualified instance string.

Check if a notebook instance is upgradable.

# 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_is_instance_upgradeable():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.IsInstanceUpgradeableRequest(
        notebook_instance="notebook_instance_value",
    )

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

    # Handle the response
    print(response)

Lists environments in a project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import notebooks_v1

async def sample_list_environments():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

Lists executions 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_executions():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

Lists instances 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_instances():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

Lists information about the supported locations for this service.

Lists operations that match the specified filter in the request.

Lists schedules 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_schedules():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a environment path into its component segments.

Parses a execution path into its component segments.

Parses a instance path into its component segments.

Parses a schedule path into its component segments.

Parses a tensorboard path into its component segments.

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.

# 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_register_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.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 = (await operation).result()

    # Handle the response
    print(response)

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.

# 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_instance_info():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.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 = (await operation).result()

    # Handle the response
    print(response)

Resets a notebook 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_reset_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Rollbacks a notebook instance to the previous 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_rollback_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.RollbackInstanceRequest(
        name="name_value",
        target_snapshot="target_snapshot_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Returns a fully-qualified schedule string.

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Updates the guest accelerators of a single 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_set_instance_accelerator():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.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 = (await operation).result()

    # Handle the response
    print(response)

Replaces all the labels of an 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_set_instance_labels():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Updates the machine type of a single 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_set_instance_machine_type():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.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 = (await operation).result()

    # Handle the response
    print(response)

Starts a notebook 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_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Stops a notebook 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_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Returns a fully-qualified tensorboard string.

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.

Triggers execution of an existing schedule.

# 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_trigger_schedule():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Update Notebook Instance configurations.

# 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_instance_config():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Add/update metadata items for an 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_update_instance_metadata_items():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Updates the Shielded instance configuration of a single 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_update_shielded_instance_config():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Upgrades a notebook instance 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_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

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

# 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_instance_internal():
    # Create a client
    client = notebooks_v1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = notebooks_v1.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 = (await operation).result()

    # Handle the response
    print(response)