As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

NotebookService¶

class google.cloud.notebooks_v1.services.notebook_service.NotebookServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.notebooks_v1.services.notebook_service.transports.base.NotebookServiceTransport, typing.Callable[[...], google.cloud.notebooks_v1.services.notebook_service.transports.base.NotebookServiceTransport]]] = '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>)[source]¶

API v1 service for Cloud AI Platform Notebooks.

Instantiates the notebook service async client.

Parameters

credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Optional[Union[str,NotebookServiceTransport,Callable[..., NotebookServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the NotebookServiceTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The 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.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

async cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

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

request (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.

Returns

None

static common_billing_account_path(billing_account: str) → str¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str¶: Returns a fully-qualified project string.

async create_environment(request: Optional[Union[google.cloud.notebooks_v1.types.service.CreateEnvironmentRequest, dict]] = None, *, parent: Optional[str] = None, environment: Optional[google.cloud.notebooks_v1.types.environment.Environment] = None, environment_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.CreateEnvironmentRequest, dict]]) – The request object. Request for creating a notebook environment.
parent (str) –
Required. Format: projects/{project_id}/locations/{location}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
environment (google.cloud.notebooks_v1.types.Environment) –
Required. The environment to be created.

This corresponds to the environment field on the request instance; if request is provided, this should not be set.
environment_id (str) –
Required. User-defined unique ID of this environment. The environment_id must be 1 to 63 characters long and contain only lowercase letters, numeric characters, and dashes. The first character must be a lowercase letter and the last character cannot be a dash.

This corresponds to the environment_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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Environment Definition of a software environment that is used to start a notebook: instance.

Return type

google.api_core.operation_async.AsyncOperation

async create_execution(request: Optional[Union[google.cloud.notebooks_v1.types.service.CreateExecutionRequest, dict]] = None, *, parent: Optional[str] = None, execution: Optional[google.cloud.notebooks_v1.types.execution.Execution] = None, execution_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.CreateExecutionRequest, dict]]) – The request object. Request to create notebook execution
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.
execution (google.cloud.notebooks_v1.types.Execution) –
Required. The execution to be created.

This corresponds to the execution field on the request instance; if request is provided, this should not be set.
execution_id (str) –
Required. User-defined unique ID of this execution.

This corresponds to the execution_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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Execution The definition of a single executed notebook.

Return type

google.api_core.operation_async.AsyncOperation

async create_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.CreateInstanceRequest, dict]] = None, *, parent: Optional[str] = None, instance: Optional[google.cloud.notebooks_v1.types.instance.Instance] = None, instance_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.CreateInstanceRequest, dict]]) – The request object. Request for creating a notebook instance.
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.
instance (google.cloud.notebooks_v1.types.Instance) – Required. The instance to be created. This corresponds to the instance field on the request instance; if request is provided, this should not be set.
instance_id (str) –
Required. User-defined unique ID of this instance.

This corresponds to the instance_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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async create_schedule(request: Optional[Union[google.cloud.notebooks_v1.types.service.CreateScheduleRequest, dict]] = None, *, parent: Optional[str] = None, schedule: Optional[google.cloud.notebooks_v1.types.schedule.Schedule] = None, schedule_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.CreateScheduleRequest, dict]]) – The request object. Request for created scheduled notebooks
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.
schedule (google.cloud.notebooks_v1.types.Schedule) – Required. The schedule to be created. This corresponds to the schedule field on the request instance; if request is provided, this should not be set.
schedule_id (str) –
Required. User-defined unique ID of this schedule.

This corresponds to the schedule_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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Schedule The definition of a schedule.

Return type

google.api_core.operation_async.AsyncOperation

async delete_environment(request: Optional[Union[google.cloud.notebooks_v1.types.service.DeleteEnvironmentRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.DeleteEnvironmentRequest, dict]]) – The request object. Request for deleting a notebook environment.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/environments/{environment_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

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);

}

Return type

google.api_core.operation_async.AsyncOperation

async delete_execution(request: Optional[Union[google.cloud.notebooks_v1.types.service.DeleteExecutionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.DeleteExecutionRequest, dict]]) – The request object. Request for deleting a scheduled notebook execution
name (str) –
Required. Format: projects/{project_id}/locations/{location}/executions/{execution_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

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);

}

Return type

google.api_core.operation_async.AsyncOperation

async delete_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.DeleteInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.DeleteInstanceRequest, dict]]) – The request object. Request for deleting a notebook instance.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/instances/{instance_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

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);

}

Return type

google.api_core.operation_async.AsyncOperation

async delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

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

request (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.

Returns

None

async delete_schedule(request: Optional[Union[google.cloud.notebooks_v1.types.service.DeleteScheduleRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.DeleteScheduleRequest, dict]]) – The request object. Request for deleting an Schedule
name (str) –
Required. Format: projects/{project_id}/locations/{location}/schedules/{schedule_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

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);

}

Return type

google.api_core.operation_async.AsyncOperation

async diagnose_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.DiagnoseInstanceRequest, dict]] = None, *, name: Optional[str] = None, diagnostic_config: Optional[google.cloud.notebooks_v1.types.diagnostic_config.DiagnosticConfig] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.DiagnoseInstanceRequest, dict]]) – The request object. Request for creating a notebook instance diagnostic file.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/instances/{instance_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
diagnostic_config (google.cloud.notebooks_v1.types.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

static environment_path(project: str, environment: str) → str¶: Returns a fully-qualified environment string.

static execution_path(project: str, location: str, execution: str) → str¶: Returns a fully-qualified execution string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

NotebookServiceAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

NotebookServiceAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

NotebookServiceAsyncClient

async get_environment(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetEnvironmentRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.environment.Environment[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.GetEnvironmentRequest, dict]]) – The request object. Request for getting a notebook environment.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/environments/{environment_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

Definition of a software environment that is used to start a notebook instance.

Return type

google.cloud.notebooks_v1.types.Environment

async get_execution(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetExecutionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.execution.Execution[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.GetExecutionRequest, dict]]) – The request object. Request for getting scheduled notebook execution
name (str) –
Required. Format: projects/{project_id}/locations/{location}/executions/{execution_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

The definition of a single executed notebook.

Return type

google.cloud.notebooks_v1.types.Execution

async get_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]¶

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

request (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

Defines 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.

Return type

Policy

async get_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.instance.Instance[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.GetInstanceRequest, dict]]) – The request object. Request for getting a notebook instance.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/instances/{instance_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

The definition of a notebook instance.

Return type

google.cloud.notebooks_v1.types.Instance

async get_instance_health(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetInstanceHealthRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.service.GetInstanceHealthResponse[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.GetInstanceHealthRequest, dict]]) – The request object. Request for checking if a notebook instance is healthy.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/instances/{instance_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

Response for checking if a notebook instance is healthy.

Return type

google.cloud.notebooks_v1.types.GetInstanceHealthResponse

async get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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.

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]¶

Gets the latest state of a long-running operation.

Parameters

request (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

An Operation object.

Return type

Operation

async get_schedule(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetScheduleRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.schedule.Schedule[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.GetScheduleRequest, dict]]) – The request object. Request for getting scheduled notebook.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/schedules/{schedule_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

The definition of a schedule.

Return type

google.cloud.notebooks_v1.types.Schedule

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.notebooks_v1.services.notebook_service.transports.base.NotebookServiceTransport]¶

Returns an appropriate transport class.

Parameters: label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
Returns: The transport class to use.

static instance_path(project: str, instance: str) → str¶: Returns a fully-qualified instance string.

async is_instance_upgradeable(request: Optional[Union[google.cloud.notebooks_v1.types.service.IsInstanceUpgradeableRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.service.IsInstanceUpgradeableResponse[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.IsInstanceUpgradeableRequest, dict]]) – The request object. Request for checking if a notebook instance is upgradeable.
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

Response for checking if a notebook instance is upgradeable.

Return type

google.cloud.notebooks_v1.types.IsInstanceUpgradeableResponse

async list_environments(request: Optional[Union[google.cloud.notebooks_v1.types.service.ListEnvironmentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.services.notebook_service.pagers.ListEnvironmentsAsyncPager[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.ListEnvironmentsRequest, dict]]) – The request object. Request for listing environments.
parent (str) –
Required. Format: 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

Response for listing environments.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.notebook_service.pagers.ListEnvironmentsAsyncPager

async list_executions(request: Optional[Union[google.cloud.notebooks_v1.types.service.ListExecutionsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.services.notebook_service.pagers.ListExecutionsAsyncPager[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.ListExecutionsRequest, dict]]) – The request object. Request for listing scheduled notebook executions.
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

Response for listing scheduled notebook executions Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.notebook_service.pagers.ListExecutionsAsyncPager

async list_instances(request: Optional[Union[google.cloud.notebooks_v1.types.service.ListInstancesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.services.notebook_service.pagers.ListInstancesAsyncPager[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.ListInstancesRequest, dict]]) – The request object. Request for listing notebook instances.
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

Response for listing notebook instances. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.notebook_service.pagers.ListInstancesAsyncPager

async list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (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

Response message for ListLocations method.

Return type

ListLocationsResponse

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

request (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

Response message for ListOperations method.

Return type

ListOperationsResponse

async list_schedules(request: Optional[Union[google.cloud.notebooks_v1.types.service.ListSchedulesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.services.notebook_service.pagers.ListSchedulesAsyncPager[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.ListSchedulesRequest, dict]]) – The request object. Request for listing scheduled notebook job.
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

Response for listing scheduled notebook job. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.notebook_service.pagers.ListSchedulesAsyncPager

static parse_common_billing_account_path(path: str) → Dict[str, str]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]¶: Parse a project path into its component segments.

static parse_environment_path(path: str) → Dict[str, str]¶: Parses a environment path into its component segments.

static parse_execution_path(path: str) → Dict[str, str]¶: Parses a execution path into its component segments.

static parse_instance_path(path: str) → Dict[str, str]¶: Parses a instance path into its component segments.

static parse_schedule_path(path: str) → Dict[str, str]¶: Parses a schedule path into its component segments.

static parse_tensorboard_path(path: str) → Dict[str, str]¶: Parses a tensorboard path into its component segments.

async register_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.RegisterInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.RegisterInstanceRequest, dict]]) – The request object. Request for registering a notebook instance.
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async report_instance_info(request: Optional[Union[google.cloud.notebooks_v1.types.service.ReportInstanceInfoRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.ReportInstanceInfoRequest, dict]]) – The request object. Request for notebook instances to report information to Notebooks API.
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async reset_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.ResetInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.ResetInstanceRequest, dict]]) – The request object. Request for resetting a notebook instance
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async rollback_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.RollbackInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.RollbackInstanceRequest, dict]]) – The request object. Request for rollbacking a notebook instance
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

static schedule_path(project: str, location: str, schedule: str) → str¶: Returns a fully-qualified schedule string.

async set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]¶

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters

request (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

Defines 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.

Return type

Policy

async set_instance_accelerator(request: Optional[Union[google.cloud.notebooks_v1.types.service.SetInstanceAcceleratorRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.SetInstanceAcceleratorRequest, dict]]) – The request object. Request for setting instance accelerator.
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async set_instance_labels(request: Optional[Union[google.cloud.notebooks_v1.types.service.SetInstanceLabelsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.SetInstanceLabelsRequest, dict]]) – The request object. Request for setting instance labels.
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async set_instance_machine_type(request: Optional[Union[google.cloud.notebooks_v1.types.service.SetInstanceMachineTypeRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.SetInstanceMachineTypeRequest, dict]]) – The request object. Request for setting instance machine type.
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async start_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.StartInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.StartInstanceRequest, dict]]) – The request object. Request for starting a notebook instance
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async stop_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.StopInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.StopInstanceRequest, dict]]) – The request object. Request for stopping a notebook instance
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

static tensorboard_path(project: str, location: str, tensorboard: str) → str¶: Returns a fully-qualified tensorboard string.

async test_iam_permissions(request: Optional[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse[source]¶

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

request (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

Response message for TestIamPermissions method.

Return type

TestIamPermissionsResponse

property transport: google.cloud.notebooks_v1.services.notebook_service.transports.base.NotebookServiceTransport¶

Returns the transport used by the client instance.

Returns: The transport used by the client instance.
Return type: NotebookServiceTransport

async trigger_schedule(request: Optional[Union[google.cloud.notebooks_v1.types.service.TriggerScheduleRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.TriggerScheduleRequest, dict]]) – The request object. Request for created scheduled notebooks
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Schedule The definition of a schedule.

Return type

google.api_core.operation_async.AsyncOperation

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns

The universe domain used: by the client instance.

Return type

str

async update_instance_config(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpdateInstanceConfigRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.UpdateInstanceConfigRequest, dict]]) – The request object. Request for updating instance configurations.
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async update_instance_metadata_items(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpdateInstanceMetadataItemsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.service.UpdateInstanceMetadataItemsResponse[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.UpdateInstanceMetadataItemsRequest, dict]]) – The request object. Request for adding/changing metadata items for an instance.
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

Response for adding/changing metadata items for an instance.

Return type

google.cloud.notebooks_v1.types.UpdateInstanceMetadataItemsResponse

async update_shielded_instance_config(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpdateShieldedInstanceConfigRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.UpdateShieldedInstanceConfigRequest, dict]]) – The request object. Request for updating the Shielded Instance config for a notebook instance. You can only use this method on a stopped instance
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async upgrade_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpgradeInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.UpgradeInstanceRequest, dict]]) – The request object. Request for upgrading a notebook instance
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

async upgrade_instance_internal(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpgradeInstanceInternalRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.UpgradeInstanceInternalRequest, dict]]) – The request object. Request for upgrading a notebook instance from within the VM
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

class google.cloud.notebooks_v1.services.notebook_service.NotebookServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.notebooks_v1.services.notebook_service.transports.base.NotebookServiceTransport, typing.Callable[[...], google.cloud.notebooks_v1.services.notebook_service.transports.base.NotebookServiceTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

API v1 service for Cloud AI Platform Notebooks.

Instantiates the notebook service client.

Parameters

credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Optional[Union[str,NotebookServiceTransport,Callable[..., NotebookServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the NotebookServiceTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]¶: Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

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

request (CancelOperationRequest) – The request object. Request message for CancelOperation method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

static common_billing_account_path(billing_account: str) → str[source]¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]¶: Returns a fully-qualified project string.

create_environment(request: Optional[Union[google.cloud.notebooks_v1.types.service.CreateEnvironmentRequest, dict]] = None, *, parent: Optional[str] = None, environment: Optional[google.cloud.notebooks_v1.types.environment.Environment] = None, environment_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_create_environment():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.CreateEnvironmentRequest, dict]) – The request object. Request for creating a notebook environment.
parent (str) –
Required. Format: projects/{project_id}/locations/{location}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
environment (google.cloud.notebooks_v1.types.Environment) –
Required. The environment to be created.

This corresponds to the environment field on the request instance; if request is provided, this should not be set.
environment_id (str) –
Required. User-defined unique ID of this environment. The environment_id must be 1 to 63 characters long and contain only lowercase letters, numeric characters, and dashes. The first character must be a lowercase letter and the last character cannot be a dash.

This corresponds to the environment_id field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Environment Definition of a software environment that is used to start a notebook: instance.

Return type

google.api_core.operation.Operation

create_execution(request: Optional[Union[google.cloud.notebooks_v1.types.service.CreateExecutionRequest, dict]] = None, *, parent: Optional[str] = None, execution: Optional[google.cloud.notebooks_v1.types.execution.Execution] = None, execution_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_create_execution():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.CreateExecutionRequest, dict]) – The request object. Request to create notebook execution
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.
execution (google.cloud.notebooks_v1.types.Execution) –
Required. The execution to be created.

This corresponds to the execution field on the request instance; if request is provided, this should not be set.
execution_id (str) –
Required. User-defined unique ID of this execution.

This corresponds to the execution_id field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Execution The definition of a single executed notebook.

Return type

google.api_core.operation.Operation

create_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.CreateInstanceRequest, dict]] = None, *, parent: Optional[str] = None, instance: Optional[google.cloud.notebooks_v1.types.instance.Instance] = None, instance_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_create_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.CreateInstanceRequest, dict]) – The request object. Request for creating a notebook instance.
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.
instance (google.cloud.notebooks_v1.types.Instance) – Required. The instance to be created. This corresponds to the instance field on the request instance; if request is provided, this should not be set.
instance_id (str) –
Required. User-defined unique ID of this instance.

This corresponds to the instance_id field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

create_schedule(request: Optional[Union[google.cloud.notebooks_v1.types.service.CreateScheduleRequest, dict]] = None, *, parent: Optional[str] = None, schedule: Optional[google.cloud.notebooks_v1.types.schedule.Schedule] = None, schedule_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_create_schedule():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.CreateScheduleRequest, dict]) – The request object. Request for created scheduled notebooks
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.
schedule (google.cloud.notebooks_v1.types.Schedule) – Required. The schedule to be created. This corresponds to the schedule field on the request instance; if request is provided, this should not be set.
schedule_id (str) –
Required. User-defined unique ID of this schedule.

This corresponds to the schedule_id field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Schedule The definition of a schedule.

Return type

google.api_core.operation.Operation

delete_environment(request: Optional[Union[google.cloud.notebooks_v1.types.service.DeleteEnvironmentRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_delete_environment():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.DeleteEnvironmentRequest, dict]) – The request object. Request for deleting a notebook environment.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/environments/{environment_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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);

}

Return type

google.api_core.operation.Operation

delete_execution(request: Optional[Union[google.cloud.notebooks_v1.types.service.DeleteExecutionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_delete_execution():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.DeleteExecutionRequest, dict]) – The request object. Request for deleting a scheduled notebook execution
name (str) –
Required. Format: projects/{project_id}/locations/{location}/executions/{execution_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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);

}

Return type

google.api_core.operation.Operation

delete_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.DeleteInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_delete_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.DeleteInstanceRequest, dict]) – The request object. Request for deleting a notebook instance.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/instances/{instance_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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);

}

Return type

google.api_core.operation.Operation

delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

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

request (DeleteOperationRequest) – The request object. Request message for DeleteOperation method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

delete_schedule(request: Optional[Union[google.cloud.notebooks_v1.types.service.DeleteScheduleRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_delete_schedule():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.DeleteScheduleRequest, dict]) – The request object. Request for deleting an Schedule
name (str) –
Required. Format: projects/{project_id}/locations/{location}/schedules/{schedule_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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);

}

Return type

google.api_core.operation.Operation

diagnose_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.DiagnoseInstanceRequest, dict]] = None, *, name: Optional[str] = None, diagnostic_config: Optional[google.cloud.notebooks_v1.types.diagnostic_config.DiagnosticConfig] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_diagnose_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.DiagnoseInstanceRequest, dict]) – The request object. Request for creating a notebook instance diagnostic file.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/instances/{instance_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
diagnostic_config (google.cloud.notebooks_v1.types.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.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

static environment_path(project: str, environment: str) → str[source]¶: Returns a fully-qualified environment string.

static execution_path(project: str, location: str, execution: str) → str[source]¶: Returns a fully-qualified execution string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

NotebookServiceClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

NotebookServiceClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

NotebookServiceClient

get_environment(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetEnvironmentRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.environment.Environment[source]¶

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

def sample_get_environment():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.GetEnvironmentRequest, dict]) – The request object. Request for getting a notebook environment.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/environments/{environment_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Definition of a software environment that is used to start a notebook instance.

Return type

google.cloud.notebooks_v1.types.Environment

get_execution(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetExecutionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.execution.Execution[source]¶

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

def sample_get_execution():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.GetExecutionRequest, dict]) – The request object. Request for getting scheduled notebook execution
name (str) –
Required. Format: projects/{project_id}/locations/{location}/executions/{execution_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The definition of a single executed notebook.

Return type

google.cloud.notebooks_v1.types.Execution

get_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]¶

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

request (GetIamPolicyRequest) – The request object. Request message for GetIamPolicy method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Defines 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.

Return type

Policy

get_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.instance.Instance[source]¶

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

def sample_get_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.GetInstanceRequest, dict]) – The request object. Request for getting a notebook instance.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/instances/{instance_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The definition of a notebook instance.

Return type

google.cloud.notebooks_v1.types.Instance

get_instance_health(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetInstanceHealthRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.service.GetInstanceHealthResponse[source]¶

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

def sample_get_instance_health():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.GetInstanceHealthRequest, dict]) – The request object. Request for checking if a notebook instance is healthy.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/instances/{instance_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response for checking if a notebook instance is healthy.

Return type

google.cloud.notebooks_v1.types.GetInstanceHealthResponse

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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

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

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

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

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

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

Gets the latest state of a long-running operation.

Parameters

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

Returns

An Operation object.

Return type

Operation

get_schedule(request: Optional[Union[google.cloud.notebooks_v1.types.service.GetScheduleRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.schedule.Schedule[source]¶

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

def sample_get_schedule():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.GetScheduleRequest, dict]) – The request object. Request for getting scheduled notebook.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/schedules/{schedule_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The definition of a schedule.

Return type

google.cloud.notebooks_v1.types.Schedule

static instance_path(project: str, instance: str) → str[source]¶: Returns a fully-qualified instance string.

is_instance_upgradeable(request: Optional[Union[google.cloud.notebooks_v1.types.service.IsInstanceUpgradeableRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.service.IsInstanceUpgradeableResponse[source]¶

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

def sample_is_instance_upgradeable():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

Response for checking if a notebook instance is upgradeable.

Return type

google.cloud.notebooks_v1.types.IsInstanceUpgradeableResponse

list_environments(request: Optional[Union[google.cloud.notebooks_v1.types.service.ListEnvironmentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.services.notebook_service.pagers.ListEnvironmentsPager[source]¶

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

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

    # Initialize request argument(s)
    request = notebooks_v1.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

request (Union[google.cloud.notebooks_v1.types.ListEnvironmentsRequest, dict]) – The request object. Request for listing environments.
parent (str) –
Required. Format: 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.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

Response for listing environments.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.notebook_service.pagers.ListEnvironmentsPager

list_executions(request: Optional[Union[google.cloud.notebooks_v1.types.service.ListExecutionsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.services.notebook_service.pagers.ListExecutionsPager[source]¶

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

def sample_list_executions():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

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

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

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

Parameters

request (Union[google.cloud.notebooks_v1.types.ListExecutionsRequest, dict]) – The request object. Request for listing scheduled notebook executions.
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.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

Response for listing scheduled notebook executions Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.notebook_service.pagers.ListExecutionsPager

list_instances(request: Optional[Union[google.cloud.notebooks_v1.types.service.ListInstancesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.services.notebook_service.pagers.ListInstancesPager[source]¶

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

def sample_list_instances():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # Initialize request argument(s)
    request = notebooks_v1.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

request (Union[google.cloud.notebooks_v1.types.ListInstancesRequest, dict]) – The request object. Request for listing notebook instances.
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.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

Response for listing notebook instances. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.notebook_service.pagers.ListInstancesPager

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListLocations method.

Return type

ListLocationsResponse

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

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

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

list_schedules(request: Optional[Union[google.cloud.notebooks_v1.types.service.ListSchedulesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.services.notebook_service.pagers.ListSchedulesPager[source]¶

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

def sample_list_schedules():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

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

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

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

Parameters

request (Union[google.cloud.notebooks_v1.types.ListSchedulesRequest, dict]) – The request object. Request for listing scheduled notebook job.
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.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

Response for listing scheduled notebook job. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.notebook_service.pagers.ListSchedulesPager

static parse_common_billing_account_path(path: str) → Dict[str, str][source]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]¶: Parse a project path into its component segments.

static parse_environment_path(path: str) → Dict[str, str][source]¶: Parses a environment path into its component segments.

static parse_execution_path(path: str) → Dict[str, str][source]¶: Parses a execution path into its component segments.

static parse_instance_path(path: str) → Dict[str, str][source]¶: Parses a instance path into its component segments.

static parse_schedule_path(path: str) → Dict[str, str][source]¶: Parses a schedule path into its component segments.

static parse_tensorboard_path(path: str) → Dict[str, str][source]¶: Parses a tensorboard path into its component segments.

register_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.RegisterInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_register_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

report_instance_info(request: Optional[Union[google.cloud.notebooks_v1.types.service.ReportInstanceInfoRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_report_instance_info():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

reset_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.ResetInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_reset_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.ResetInstanceRequest, dict]) – The request object. Request for resetting 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

rollback_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.RollbackInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_rollback_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.RollbackInstanceRequest, dict]) – The request object. Request for rollbacking 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

static schedule_path(project: str, location: str, schedule: str) → str[source]¶: Returns a fully-qualified schedule string.

set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]¶

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters

request (SetIamPolicyRequest) – The request object. Request message for SetIamPolicy method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Defines 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.

Return type

Policy

set_instance_accelerator(request: Optional[Union[google.cloud.notebooks_v1.types.service.SetInstanceAcceleratorRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_set_instance_accelerator():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

set_instance_labels(request: Optional[Union[google.cloud.notebooks_v1.types.service.SetInstanceLabelsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_set_instance_labels():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

set_instance_machine_type(request: Optional[Union[google.cloud.notebooks_v1.types.service.SetInstanceMachineTypeRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_set_instance_machine_type():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

start_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.StartInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_start_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

stop_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.StopInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_stop_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

static tensorboard_path(project: str, location: str, tensorboard: str) → str[source]¶: Returns a fully-qualified tensorboard string.

test_iam_permissions(request: Optional[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse[source]¶

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

request (TestIamPermissionsRequest) – The request object. Request message for TestIamPermissions method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for TestIamPermissions method.

Return type

TestIamPermissionsResponse

property transport: google.cloud.notebooks_v1.services.notebook_service.transports.base.NotebookServiceTransport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

NotebookServiceTransport

trigger_schedule(request: Optional[Union[google.cloud.notebooks_v1.types.service.TriggerScheduleRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_trigger_schedule():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.TriggerScheduleRequest, dict]) – The request object. Request for created scheduled notebooks
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Schedule The definition of a schedule.

Return type

google.api_core.operation.Operation

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns: The universe domain used by the client instance.
Return type: str

update_instance_config(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpdateInstanceConfigRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_update_instance_config():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.UpdateInstanceConfigRequest, dict]) – The request object. Request for updating instance configurations.
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

update_instance_metadata_items(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpdateInstanceMetadataItemsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.notebooks_v1.types.service.UpdateInstanceMetadataItemsResponse[source]¶

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

def sample_update_instance_metadata_items():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.UpdateInstanceMetadataItemsRequest, dict]) – The request object. Request for adding/changing metadata items for an 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

Response for adding/changing metadata items for an instance.

Return type

google.cloud.notebooks_v1.types.UpdateInstanceMetadataItemsResponse

update_shielded_instance_config(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpdateShieldedInstanceConfigRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_update_shielded_instance_config():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.UpdateShieldedInstanceConfigRequest, dict]) – The request object. Request for updating the Shielded Instance config for a notebook instance. You can only use this method on a stopped 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

upgrade_instance(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpgradeInstanceRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_upgrade_instance():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

upgrade_instance_internal(request: Optional[Union[google.cloud.notebooks_v1.types.service.UpgradeInstanceInternalRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

def sample_upgrade_instance_internal():
    # Create a client
    client = notebooks_v1.NotebookServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.notebooks_v1.types.Instance The definition of a notebook instance.

Return type

google.api_core.operation.Operation

class google.cloud.notebooks_v1.services.notebook_service.pagers.ListEnvironmentsAsyncPager(method: Callable[[...], Awaitable[google.cloud.notebooks_v1.types.service.ListEnvironmentsResponse]], request: google.cloud.notebooks_v1.types.service.ListEnvironmentsRequest, response: google.cloud.notebooks_v1.types.service.ListEnvironmentsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_environments requests.

This class thinly wraps an initial google.cloud.notebooks_v1.types.ListEnvironmentsResponse object, and provides an __aiter__ method to iterate through its environments field.

If there are more pages, the __aiter__ method will make additional ListEnvironments requests and continue to iterate through the environments field on the corresponding responses.

All the usual google.cloud.notebooks_v1.types.ListEnvironmentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.notebooks_v1.types.ListEnvironmentsRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListEnvironmentsResponse) – The initial response object.
retry (google.api_core.retry.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.

class google.cloud.notebooks_v1.services.notebook_service.pagers.ListEnvironmentsPager(method: Callable[[...], google.cloud.notebooks_v1.types.service.ListEnvironmentsResponse], request: google.cloud.notebooks_v1.types.service.ListEnvironmentsRequest, response: google.cloud.notebooks_v1.types.service.ListEnvironmentsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_environments requests.

This class thinly wraps an initial google.cloud.notebooks_v1.types.ListEnvironmentsResponse object, and provides an __iter__ method to iterate through its environments field.

If there are more pages, the __iter__ method will make additional ListEnvironments requests and continue to iterate through the environments field on the corresponding responses.

All the usual google.cloud.notebooks_v1.types.ListEnvironmentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.notebooks_v1.types.ListEnvironmentsRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListEnvironmentsResponse) – The initial response object.
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.

class google.cloud.notebooks_v1.services.notebook_service.pagers.ListExecutionsAsyncPager(method: Callable[[...], Awaitable[google.cloud.notebooks_v1.types.service.ListExecutionsResponse]], request: google.cloud.notebooks_v1.types.service.ListExecutionsRequest, response: google.cloud.notebooks_v1.types.service.ListExecutionsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_executions requests.

This class thinly wraps an initial google.cloud.notebooks_v1.types.ListExecutionsResponse object, and provides an __aiter__ method to iterate through its executions field.

If there are more pages, the __aiter__ method will make additional ListExecutions requests and continue to iterate through the executions field on the corresponding responses.

All the usual google.cloud.notebooks_v1.types.ListExecutionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.notebooks_v1.types.ListExecutionsRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListExecutionsResponse) – The initial response object.
retry (google.api_core.retry.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.

class google.cloud.notebooks_v1.services.notebook_service.pagers.ListExecutionsPager(method: Callable[[...], google.cloud.notebooks_v1.types.service.ListExecutionsResponse], request: google.cloud.notebooks_v1.types.service.ListExecutionsRequest, response: google.cloud.notebooks_v1.types.service.ListExecutionsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_executions requests.

This class thinly wraps an initial google.cloud.notebooks_v1.types.ListExecutionsResponse object, and provides an __iter__ method to iterate through its executions field.

If there are more pages, the __iter__ method will make additional ListExecutions requests and continue to iterate through the executions field on the corresponding responses.

All the usual google.cloud.notebooks_v1.types.ListExecutionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.notebooks_v1.types.ListExecutionsRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListExecutionsResponse) – The initial response object.
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.

class google.cloud.notebooks_v1.services.notebook_service.pagers.ListInstancesAsyncPager(method: Callable[[...], Awaitable[google.cloud.notebooks_v1.types.service.ListInstancesResponse]], request: google.cloud.notebooks_v1.types.service.ListInstancesRequest, response: google.cloud.notebooks_v1.types.service.ListInstancesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_instances requests.

This class thinly wraps an initial google.cloud.notebooks_v1.types.ListInstancesResponse object, and provides an __aiter__ method to iterate through its instances field.

If there are more pages, the __aiter__ method will make additional ListInstances requests and continue to iterate through the instances field on the corresponding responses.

All the usual google.cloud.notebooks_v1.types.ListInstancesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.notebooks_v1.types.ListInstancesRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListInstancesResponse) – The initial response object.
retry (google.api_core.retry.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.

class google.cloud.notebooks_v1.services.notebook_service.pagers.ListInstancesPager(method: Callable[[...], google.cloud.notebooks_v1.types.service.ListInstancesResponse], request: google.cloud.notebooks_v1.types.service.ListInstancesRequest, response: google.cloud.notebooks_v1.types.service.ListInstancesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_instances requests.

This class thinly wraps an initial google.cloud.notebooks_v1.types.ListInstancesResponse object, and provides an __iter__ method to iterate through its instances field.

If there are more pages, the __iter__ method will make additional ListInstances requests and continue to iterate through the instances field on the corresponding responses.

All the usual google.cloud.notebooks_v1.types.ListInstancesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.notebooks_v1.types.ListInstancesRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListInstancesResponse) – The initial response object.
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.

class google.cloud.notebooks_v1.services.notebook_service.pagers.ListSchedulesAsyncPager(method: Callable[[...], Awaitable[google.cloud.notebooks_v1.types.service.ListSchedulesResponse]], request: google.cloud.notebooks_v1.types.service.ListSchedulesRequest, response: google.cloud.notebooks_v1.types.service.ListSchedulesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_schedules requests.

This class thinly wraps an initial google.cloud.notebooks_v1.types.ListSchedulesResponse object, and provides an __aiter__ method to iterate through its schedules field.

If there are more pages, the __aiter__ method will make additional ListSchedules requests and continue to iterate through the schedules field on the corresponding responses.

All the usual google.cloud.notebooks_v1.types.ListSchedulesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.notebooks_v1.types.ListSchedulesRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListSchedulesResponse) – The initial response object.
retry (google.api_core.retry.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.

class google.cloud.notebooks_v1.services.notebook_service.pagers.ListSchedulesPager(method: Callable[[...], google.cloud.notebooks_v1.types.service.ListSchedulesResponse], request: google.cloud.notebooks_v1.types.service.ListSchedulesRequest, response: google.cloud.notebooks_v1.types.service.ListSchedulesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_schedules requests.

This class thinly wraps an initial google.cloud.notebooks_v1.types.ListSchedulesResponse object, and provides an __iter__ method to iterate through its schedules field.

If there are more pages, the __iter__ method will make additional ListSchedules requests and continue to iterate through the schedules field on the corresponding responses.

All the usual google.cloud.notebooks_v1.types.ListSchedulesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.notebooks_v1.types.ListSchedulesRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListSchedulesResponse) – The initial response object.
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.

NotebookService¶

google-cloud-notebooks

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