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.

ManagedNotebookService¶

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

API v1 service for Managed Notebooks.

Instantiates the managed 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,ManagedNotebookServiceTransport,Callable[..., ManagedNotebookServiceTransport]]]) – 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 ManagedNotebookServiceTransport 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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.CreateRuntimeRequest, dict]] = None, *, parent: Optional[str] = None, runtime_id: Optional[str] = None, runtime: Optional[google.cloud.notebooks_v1.types.runtime.Runtime] = 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 Runtime in a given project and location.

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

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

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

This corresponds to the runtime_id field on the request instance; if request is provided, this should not be set.
runtime (google.cloud.notebooks_v1.types.Runtime) – Required. The Runtime to be created. This corresponds to the runtime field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

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

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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.DeleteRuntimeRequest, 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 Runtime.

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.DeleteRuntimeRequest, dict]]) – The request object. Request for deleting a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

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

Returns

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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.DiagnoseRuntimeRequest, 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 a Runtime.

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

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

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

This corresponds to the name field on the request instance; if request is provided, this should not be set.
diagnostic_config (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.Runtime The definition of a Runtime for a managed notebook instance.

Return type

google.api_core.operation_async.AsyncOperation

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

ManagedNotebookServiceAsyncClient

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

ManagedNotebookServiceAsyncClient

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

ManagedNotebookServiceAsyncClient

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_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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.GetRuntimeRequest, 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.runtime.Runtime[source]¶

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

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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.GetRuntimeRequest, dict]]) – The request object. Request for getting a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

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

Returns

The definition of a Runtime for a managed notebook instance.

Return type

google.cloud.notebooks_v1.types.Runtime

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

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.

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_runtimes(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.ListRuntimesRequest, 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.managed_notebook_service.pagers.ListRuntimesAsyncPager[source]¶

Lists Runtimes in a given project and location.

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

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

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

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

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

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.ListRuntimesRequest, dict]]) – The request object. Request for listing Managed Notebook Runtimes.
parent (str) –
Required. Format: parent=projects/{project_id}/locations/{location}

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

Returns

Response for listing Managed Notebook Runtimes. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.managed_notebook_service.pagers.ListRuntimesAsyncPager

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_runtime_path(path: str) → Dict[str, str]¶: Parses a runtime path into its component segments.

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

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

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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.RefreshRuntimeTokenInternalRequest, dict]]) – The request object. Request for getting a new access token.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
vm_id (str) –
Required. The VM hardware token for authenticating the VM. https://cloud.google.com/compute/docs/instances/verifying-instance-identity

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

Returns

Response with a new access token.

Return type

google.cloud.notebooks_v1.types.RefreshRuntimeTokenInternalResponse

async report_runtime_event(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.ReportRuntimeEventRequest, 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]¶

Report and process a runtime event.

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.ReportRuntimeEventRequest, dict]]) – The request object. Request for reporting a Managed Notebook Event.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

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

Returns

An object representing a long-running operation.

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

Return type

google.api_core.operation_async.AsyncOperation

async reset_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.ResetRuntimeRequest, 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]¶

Resets a Managed Notebook Runtime.

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.ResetRuntimeRequest, dict]]) – The request object. Request for resetting a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

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

Returns

An object representing a long-running operation.

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

Return type

google.api_core.operation_async.AsyncOperation

static runtime_path(project: str, location: str, runtime: str) → str¶: Returns a fully-qualified runtime 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 start_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.StartRuntimeRequest, 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]¶

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

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

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.StartRuntimeRequest, dict]]) – The request object. Request for starting a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

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

Returns

An object representing a long-running operation.

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

Return type

google.api_core.operation_async.AsyncOperation

async stop_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.StopRuntimeRequest, 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]¶

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

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

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.StopRuntimeRequest, dict]]) – The request object. Request for stopping a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

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

Returns

An object representing a long-running operation.

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

Return type

google.api_core.operation_async.AsyncOperation

async switch_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.SwitchRuntimeRequest, 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]¶

Switch a Managed Notebook Runtime.

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.SwitchRuntimeRequest, dict]]) – The request object. Request for switching a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

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

Returns

An object representing a long-running operation.

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

Return type

google.api_core.operation_async.AsyncOperation

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.managed_notebook_service.transports.base.ManagedNotebookServiceTransport¶

Returns the transport used by the client instance.

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

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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.UpdateRuntimeRequest, dict]] = None, *, runtime: Optional[google.cloud.notebooks_v1.types.runtime.Runtime] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = 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 Runtime configuration.

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.UpdateRuntimeRequest, dict]]) – The request object. Request for updating a Managed Notebook configuration.
runtime (google.cloud.notebooks_v1.types.Runtime) – Required. The Runtime to be updated. This corresponds to the runtime field on the request instance; if request is provided, this should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask) –
Required. Specifies the path, relative to Runtime, of the field to update. For example, to change the software configuration kernels, the update_mask parameter would be specified as software_config.kernels, and the PATCH request body would specify the new value, as follows:
```
{
  "software_config":{
    "kernels": [{
       'repository':
       'gcr.io/deeplearning-platform-release/pytorch-gpu', 'tag':
       'latest' }],
    }
}
```
Currently, only the following fields can be updated:
- software_config.kernels
- software_config.post_startup_script
- software_config.custom_gpu_driver_path
- software_config.idle_shutdown
- software_config.idle_shutdown_timeout
- software_config.disable_terminal
This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

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

Return type

google.api_core.operation_async.AsyncOperation

async upgrade_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.UpgradeRuntimeRequest, 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]¶

Upgrades a Managed Notebook Runtime to the latest version.

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

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

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.notebooks_v1.types.UpgradeRuntimeRequest, dict]]) – The request object. Request for upgrading a Managed Notebook Runtime to the latest version. option (google.api.message_visibility).restriction = “TRUSTED_TESTER,SPECIAL_TESTER”;
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

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

Returns

An object representing a long-running operation.

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

Return type

google.api_core.operation_async.AsyncOperation

class google.cloud.notebooks_v1.services.managed_notebook_service.ManagedNotebookServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.notebooks_v1.services.managed_notebook_service.transports.base.ManagedNotebookServiceTransport, typing.Callable[[...], google.cloud.notebooks_v1.services.managed_notebook_service.transports.base.ManagedNotebookServiceTransport]]] = 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 Managed Notebooks.

Instantiates the managed 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,ManagedNotebookServiceTransport,Callable[..., ManagedNotebookServiceTransport]]]) – 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 ManagedNotebookServiceTransport 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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.CreateRuntimeRequest, dict]] = None, *, parent: Optional[str] = None, runtime_id: Optional[str] = None, runtime: Optional[google.cloud.notebooks_v1.types.runtime.Runtime] = 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 Runtime in a given project and location.

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

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

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

This corresponds to the runtime_id field on the request instance; if request is provided, this should not be set.
runtime (google.cloud.notebooks_v1.types.Runtime) – Required. The Runtime to be created. This corresponds to the runtime field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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.Runtime The definition of a Runtime for a managed notebook instance.

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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.DeleteRuntimeRequest, 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 Runtime.

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.DeleteRuntimeRequest, dict]) – The request object. Request for deleting a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.DiagnoseRuntimeRequest, 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 a Runtime.

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

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

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

This corresponds to the name field on the request instance; if request is provided, this should not be set.
diagnostic_config (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.Runtime The definition of a Runtime for a managed notebook instance.

Return type

google.api_core.operation.Operation

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

ManagedNotebookServiceClient

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

ManagedNotebookServiceClient

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

ManagedNotebookServiceClient

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_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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.GetRuntimeRequest, 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.runtime.Runtime[source]¶

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

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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.GetRuntimeRequest, dict]) – The request object. Request for getting a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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 Runtime for a managed notebook instance.

Return type

google.cloud.notebooks_v1.types.Runtime

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_runtimes(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.ListRuntimesRequest, 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.managed_notebook_service.pagers.ListRuntimesPager[source]¶

Lists Runtimes in a given project and location.

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

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

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

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

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

Parameters

request (Union[google.cloud.notebooks_v1.types.ListRuntimesRequest, dict]) – The request object. Request for listing Managed Notebook Runtimes.
parent (str) –
Required. Format: parent=projects/{project_id}/locations/{location}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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 Managed Notebook Runtimes. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.notebooks_v1.services.managed_notebook_service.pagers.ListRuntimesPager

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_runtime_path(path: str) → Dict[str, str][source]¶: Parses a runtime path into its component segments.

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

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

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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.RefreshRuntimeTokenInternalRequest, dict]) – The request object. Request for getting a new access token.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
vm_id (str) –
Required. The VM hardware token for authenticating the VM. https://cloud.google.com/compute/docs/instances/verifying-instance-identity

This corresponds to the vm_id field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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 with a new access token.

Return type

google.cloud.notebooks_v1.types.RefreshRuntimeTokenInternalResponse

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

Report and process a runtime event.

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.ReportRuntimeEventRequest, dict]) – The request object. Request for reporting a Managed Notebook Event.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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.Runtime The definition of a Runtime for a managed notebook instance.

Return type

google.api_core.operation.Operation

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

Resets a Managed Notebook Runtime.

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.ResetRuntimeRequest, dict]) – The request object. Request for resetting a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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.Runtime The definition of a Runtime for a managed notebook instance.

Return type

google.api_core.operation.Operation

static runtime_path(project: str, location: str, runtime: str) → str[source]¶: Returns a fully-qualified runtime 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

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

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

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

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.StartRuntimeRequest, dict]) – The request object. Request for starting a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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.Runtime The definition of a Runtime for a managed notebook instance.

Return type

google.api_core.operation.Operation

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

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

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

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.StopRuntimeRequest, dict]) – The request object. Request for stopping a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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.Runtime The definition of a Runtime for a managed notebook instance.

Return type

google.api_core.operation.Operation

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

Switch a Managed Notebook Runtime.

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.SwitchRuntimeRequest, dict]) – The request object. Request for switching a Managed Notebook Runtime.
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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.Runtime The definition of a Runtime for a managed notebook instance.

Return type

google.api_core.operation.Operation

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.managed_notebook_service.transports.base.ManagedNotebookServiceTransport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

ManagedNotebookServiceTransport

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_runtime(request: Optional[Union[google.cloud.notebooks_v1.types.managed_service.UpdateRuntimeRequest, dict]] = None, *, runtime: Optional[google.cloud.notebooks_v1.types.runtime.Runtime] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = 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 Runtime configuration.

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.UpdateRuntimeRequest, dict]) – The request object. Request for updating a Managed Notebook configuration.
runtime (google.cloud.notebooks_v1.types.Runtime) – Required. The Runtime to be updated. This corresponds to the runtime field on the request instance; if request is provided, this should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask) –
Required. Specifies the path, relative to Runtime, of the field to update. For example, to change the software configuration kernels, the update_mask parameter would be specified as software_config.kernels, and the PATCH request body would specify the new value, as follows:
```
{
  "software_config":{
    "kernels": [{
       'repository':
       'gcr.io/deeplearning-platform-release/pytorch-gpu', 'tag':
       'latest' }],
    }
}
```
Currently, only the following fields can be updated:
- software_config.kernels
- software_config.post_startup_script
- software_config.custom_gpu_driver_path
- software_config.idle_shutdown
- software_config.idle_shutdown_timeout
- software_config.disable_terminal
This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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.Runtime The definition of a Runtime for a managed notebook instance.

Return type

google.api_core.operation.Operation

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

Upgrades a Managed Notebook Runtime to the latest version.

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.notebooks_v1.types.UpgradeRuntimeRequest, dict]) – The request object. Request for upgrading a Managed Notebook Runtime to the latest version. option (google.api.message_visibility).restriction = “TRUSTED_TESTER,SPECIAL_TESTER”;
name (str) –
Required. Format: projects/{project_id}/locations/{location}/runtimes/{runtime_id}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.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.Runtime The definition of a Runtime for a managed notebook instance.

Return type

google.api_core.operation.Operation

class google.cloud.notebooks_v1.services.managed_notebook_service.pagers.ListRuntimesAsyncPager(method: Callable[[...], Awaitable[google.cloud.notebooks_v1.types.managed_service.ListRuntimesResponse]], request: google.cloud.notebooks_v1.types.managed_service.ListRuntimesRequest, response: google.cloud.notebooks_v1.types.managed_service.ListRuntimesResponse, *, 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_runtimes requests.

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

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

All the usual google.cloud.notebooks_v1.types.ListRuntimesResponse 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.ListRuntimesRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListRuntimesResponse) – 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.managed_notebook_service.pagers.ListRuntimesPager(method: Callable[[...], google.cloud.notebooks_v1.types.managed_service.ListRuntimesResponse], request: google.cloud.notebooks_v1.types.managed_service.ListRuntimesRequest, response: google.cloud.notebooks_v1.types.managed_service.ListRuntimesResponse, *, 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_runtimes requests.

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

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

All the usual google.cloud.notebooks_v1.types.ListRuntimesResponse 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.ListRuntimesRequest) – The initial request object.
response (google.cloud.notebooks_v1.types.ListRuntimesResponse) – 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.

ManagedNotebookService¶

google-cloud-notebooks

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