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

NotebookService¶

class google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient(*, credentials: ~typing.Optional[~google.auth.credentials.Credentials] = None, transport: ~typing.Optional[~typing.Union[str, ~google.cloud.aiplatform_v1beta1.services.notebook_service.transports.base.NotebookServiceTransport, ~typing.Callable[[...], ~google.cloud.aiplatform_v1beta1.services.notebook_service.transports.base.NotebookServiceTransport]]] = 'grpc_asyncio', client_options: ~typing.Optional[~google.api_core.client_options.ClientOptions] = None, client_info: ~google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

The interface for Vertex Notebook service (a.k.a. Colab on Workbench).

Instantiates the notebook service async client.

Parameters:

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

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

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

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

Raises:

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

property api_endpoint¶

Return the API endpoint used by the client instance.

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

async assign_notebook_runtime(request: Optional[Union[AssignNotebookRuntimeRequest, dict]] = None, *, parent: Optional[str] = None, notebook_runtime_template: Optional[str] = None, notebook_runtime: Optional[NotebookRuntime] = None, notebook_runtime_id: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]¶

Assigns a NotebookRuntime to a user for a particular Notebook file. This method will either returns an existing assignment or generates a new one.

# 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 aiplatform_v1beta1

async def sample_assign_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    notebook_runtime = aiplatform_v1beta1.NotebookRuntime()
    notebook_runtime.runtime_user = "runtime_user_value"
    notebook_runtime.display_name = "display_name_value"

    request = aiplatform_v1beta1.AssignNotebookRuntimeRequest(
        parent="parent_value",
        notebook_runtime_template="notebook_runtime_template_value",
        notebook_runtime=notebook_runtime,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.AssignNotebookRuntimeRequest, dict]]) – The request object. Request message for [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.AssignNotebookRuntime].
parent (str) –
Required. The resource name of the Location to get the NotebookRuntime assignment. Format: projects/{project}/locations/{location}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
notebook_runtime_template (str) –
Required. The resource name of the NotebookRuntimeTemplate based on which a NotebookRuntime will be assigned (reuse or create a new one).

This corresponds to the notebook_runtime_template field on the request instance; if request is provided, this should not be set.
notebook_runtime (google.cloud.aiplatform_v1beta1.types.NotebookRuntime) –
Required. Provide runtime specific information (e.g. runtime owner, notebook id) used for NotebookRuntime assignment.

This corresponds to the notebook_runtime field on the request instance; if request is provided, this should not be set.
notebook_runtime_id (str) –
Optional. User specified ID for the notebook runtime.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1beta1.types.NotebookRuntime A runtime is a virtual machine allocated to a particular user for a: particular Notebook file on temporary basis with lifetime limited to 24 hours.

Return type:

google.api_core.operation_async.AsyncOperation

async cancel_operation(request: Optional[CancelOperationRequest] = None, *, retry: Optional[Union[AsyncRetry, _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_notebook_execution_job(request: Optional[Union[CreateNotebookExecutionJobRequest, dict]] = None, *, parent: Optional[str] = None, notebook_execution_job: Optional[NotebookExecutionJob] = None, notebook_execution_job_id: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]¶

Creates a NotebookExecutionJob.

# 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 aiplatform_v1beta1

async def sample_create_notebook_execution_job():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    notebook_execution_job = aiplatform_v1beta1.NotebookExecutionJob()
    notebook_execution_job.notebook_runtime_template_resource_name = "notebook_runtime_template_resource_name_value"
    notebook_execution_job.gcs_output_uri = "gcs_output_uri_value"
    notebook_execution_job.execution_user = "execution_user_value"

    request = aiplatform_v1beta1.CreateNotebookExecutionJobRequest(
        parent="parent_value",
        notebook_execution_job=notebook_execution_job,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.CreateNotebookExecutionJobRequest, dict]]) – The request object. Request message for [NotebookService.CreateNotebookExecutionJob]
parent (str) –
Required. The resource name of the Location to create the NotebookExecutionJob. Format: projects/{project}/locations/{location}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
notebook_execution_job (google.cloud.aiplatform_v1beta1.types.NotebookExecutionJob) –
Required. The NotebookExecutionJob to create.

This corresponds to the notebook_execution_job field on the request instance; if request is provided, this should not be set.
notebook_execution_job_id (str) –
Optional. User specified ID for the NotebookExecutionJob.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1beta1.types.NotebookExecutionJob NotebookExecutionJob represents an instance of a notebook execution.

Return type:

google.api_core.operation_async.AsyncOperation

async create_notebook_runtime_template(request: Optional[Union[CreateNotebookRuntimeTemplateRequest, dict]] = None, *, parent: Optional[str] = None, notebook_runtime_template: Optional[NotebookRuntimeTemplate] = None, notebook_runtime_template_id: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]¶

Creates a NotebookRuntimeTemplate.

# 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 aiplatform_v1beta1

async def sample_create_notebook_runtime_template():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    notebook_runtime_template = aiplatform_v1beta1.NotebookRuntimeTemplate()
    notebook_runtime_template.display_name = "display_name_value"

    request = aiplatform_v1beta1.CreateNotebookRuntimeTemplateRequest(
        parent="parent_value",
        notebook_runtime_template=notebook_runtime_template,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.CreateNotebookRuntimeTemplateRequest, dict]]) – The request object. Request message for [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.CreateNotebookRuntimeTemplate].
parent (str) –
Required. The resource name of the Location to create the NotebookRuntimeTemplate. Format: projects/{project}/locations/{location}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
notebook_runtime_template (google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate) –
Required. The NotebookRuntimeTemplate to create.

This corresponds to the notebook_runtime_template field on the request instance; if request is provided, this should not be set.
notebook_runtime_template_id (str) –
Optional. User specified ID for the notebook runtime template.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate A template that specifies runtime configurations such as machine type,: runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template.

Return type:

google.api_core.operation_async.AsyncOperation

async delete_notebook_execution_job(request: Optional[Union[DeleteNotebookExecutionJobRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]¶

Deletes a NotebookExecutionJob.

# 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 aiplatform_v1beta1

async def sample_delete_notebook_execution_job():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteNotebookExecutionJobRequest(
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.DeleteNotebookExecutionJobRequest, dict]]) – The request object. Request message for [NotebookService.DeleteNotebookExecutionJob]
name (str) –
Required. The name of the NotebookExecutionJob resource to be deleted.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type:

google.api_core.operation_async.AsyncOperation

async delete_notebook_runtime(request: Optional[Union[DeleteNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]¶

Deletes a NotebookRuntime.

# 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 aiplatform_v1beta1

async def sample_delete_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteNotebookRuntimeRequest(
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.DeleteNotebookRuntimeRequest, dict]]) – The request object. Request message for [NotebookService.DeleteNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.DeleteNotebookRuntime].
name (str) –
Required. The name of the NotebookRuntime resource to be deleted. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type:

google.api_core.operation_async.AsyncOperation

async delete_notebook_runtime_template(request: Optional[Union[DeleteNotebookRuntimeTemplateRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]¶

Deletes a NotebookRuntimeTemplate.

# 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 aiplatform_v1beta1

async def sample_delete_notebook_runtime_template():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteNotebookRuntimeTemplateRequest(
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.DeleteNotebookRuntimeTemplateRequest, dict]]) – The request object. Request message for [NotebookService.DeleteNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.DeleteNotebookRuntimeTemplate].
name (str) –
Required. The name of the NotebookRuntimeTemplate resource to be deleted. Format: projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type:

google.api_core.operation_async.AsyncOperation

async delete_operation(request: Optional[DeleteOperationRequest] = None, *, retry: Optional[Union[AsyncRetry, _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

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

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

Parameters:

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

Returns:

The constructed client.

Return type:

NotebookServiceAsyncClient

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

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

Parameters:

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

Returns:

The constructed client.

Return type:

NotebookServiceAsyncClient

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

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

Parameters:

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

Returns:

The constructed client.

Return type:

NotebookServiceAsyncClient

async get_iam_policy(request: Optional[GetIamPolicyRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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[GetLocationRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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[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_notebook_execution_job(request: Optional[Union[GetNotebookExecutionJobRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → NotebookExecutionJob[source]¶

Gets a NotebookExecutionJob.

# 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 aiplatform_v1beta1

async def sample_get_notebook_execution_job():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetNotebookExecutionJobRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.GetNotebookExecutionJobRequest, dict]]) – The request object. Request message for [NotebookService.GetNotebookExecutionJob]
name (str) –
Required. The name of the NotebookExecutionJob resource.

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:

NotebookExecutionJob represents an instance of a notebook execution.

Return type:

google.cloud.aiplatform_v1beta1.types.NotebookExecutionJob

async get_notebook_runtime(request: Optional[Union[GetNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → NotebookRuntime[source]¶

Gets a NotebookRuntime.

# 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 aiplatform_v1beta1

async def sample_get_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetNotebookRuntimeRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.GetNotebookRuntimeRequest, dict]]) – The request object. Request message for [NotebookService.GetNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.GetNotebookRuntime]
name (str) –
Required. The name of the NotebookRuntime resource. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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:

A runtime is a virtual machine allocated to a particular user for a particular Notebook file on temporary basis with lifetime limited to 24 hours.

Return type:

google.cloud.aiplatform_v1beta1.types.NotebookRuntime

async get_notebook_runtime_template(request: Optional[Union[GetNotebookRuntimeTemplateRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → NotebookRuntimeTemplate[source]¶

Gets a NotebookRuntimeTemplate.

# 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 aiplatform_v1beta1

async def sample_get_notebook_runtime_template():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetNotebookRuntimeTemplateRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.GetNotebookRuntimeTemplateRequest, dict]]) – The request object. Request message for [NotebookService.GetNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.GetNotebookRuntimeTemplate]
name (str) –
Required. The name of the NotebookRuntimeTemplate resource. Format: projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}

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:

A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template.

Return type:

google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate

async get_operation(request: Optional[GetOperationRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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

classmethod get_transport_class(label: Optional[str] = None) → Type[NotebookServiceTransport]¶

Returns an appropriate transport class.

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

async list_locations(request: Optional[ListLocationsRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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_notebook_execution_jobs(request: Optional[Union[ListNotebookExecutionJobsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListNotebookExecutionJobsAsyncPager[source]¶

Lists NotebookExecutionJobs in a 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 aiplatform_v1beta1

async def sample_list_notebook_execution_jobs():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListNotebookExecutionJobsRequest(
        parent="parent_value",
    )

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

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

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.ListNotebookExecutionJobsRequest, dict]]) – The request object. Request message for [NotebookService.ListNotebookExecutionJobs]
parent (str) –
Required. The resource name of the Location from which to list the NotebookExecutionJobs. Format: projects/{project}/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 message for [NotebookService.CreateNotebookExecutionJob]

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

Return type:

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookExecutionJobsAsyncPager

async list_notebook_runtime_templates(request: Optional[Union[ListNotebookRuntimeTemplatesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListNotebookRuntimeTemplatesAsyncPager[source]¶

Lists NotebookRuntimeTemplates in a 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 aiplatform_v1beta1

async def sample_list_notebook_runtime_templates():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListNotebookRuntimeTemplatesRequest(
        parent="parent_value",
    )

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

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

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesRequest, dict]]) – The request object. Request message for [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimeTemplates].
parent (str) –
Required. The resource name of the Location from which to list the NotebookRuntimeTemplates. Format: projects/{project}/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 message for: [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimeTemplates].

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

Return type:

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesAsyncPager

async list_notebook_runtimes(request: Optional[Union[ListNotebookRuntimesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListNotebookRuntimesAsyncPager[source]¶

Lists NotebookRuntimes in a 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 aiplatform_v1beta1

async def sample_list_notebook_runtimes():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListNotebookRuntimesRequest(
        parent="parent_value",
    )

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

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

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesRequest, dict]]) – The request object. Request message for [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimes].
parent (str) –
Required. The resource name of the Location from which to list the NotebookRuntimes. Format: projects/{project}/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 message for: [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimes].

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

Return type:

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesAsyncPager

async list_operations(request: Optional[ListOperationsRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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

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

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

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

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

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

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

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

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

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

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

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

static reservation_path(project_id_or_number: str, zone: str, reservation_name: str) → str¶: Returns a fully-qualified reservation string.

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

async set_iam_policy(request: Optional[SetIamPolicyRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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_notebook_runtime(request: Optional[Union[StartNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]¶

Starts a NotebookRuntime.

# 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 aiplatform_v1beta1

async def sample_start_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.StartNotebookRuntimeRequest(
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.StartNotebookRuntimeRequest, dict]]) – The request object. Request message for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].
name (str) –
Required. The name of the NotebookRuntime resource to be started. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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.aiplatform_v1beta1.types.StartNotebookRuntimeResponse Response message for: [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].

Return type:

google.api_core.operation_async.AsyncOperation

async stop_notebook_runtime(request: Optional[Union[StopNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]¶

Stops a NotebookRuntime.

# 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 aiplatform_v1beta1

async def sample_stop_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.StopNotebookRuntimeRequest(
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.StopNotebookRuntimeRequest, dict]]) – The request object. Request message for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].
name (str) –
Required. The name of the NotebookRuntime resource to be stopped. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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.aiplatform_v1beta1.types.StopNotebookRuntimeResponse Response message for: [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].

Return type:

google.api_core.operation_async.AsyncOperation

static subnetwork_path(project: str, region: str, subnetwork: str) → str¶: Returns a fully-qualified subnetwork string.

async test_iam_permissions(request: Optional[TestIamPermissionsRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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: NotebookServiceTransport¶

Returns the transport used by the client instance.

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

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_notebook_runtime_template(request: Optional[Union[UpdateNotebookRuntimeTemplateRequest, dict]] = None, *, notebook_runtime_template: Optional[NotebookRuntimeTemplate] = None, update_mask: Optional[FieldMask] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → NotebookRuntimeTemplate[source]¶

Updates a NotebookRuntimeTemplate.

# 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 aiplatform_v1beta1

async def sample_update_notebook_runtime_template():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    notebook_runtime_template = aiplatform_v1beta1.NotebookRuntimeTemplate()
    notebook_runtime_template.display_name = "display_name_value"

    request = aiplatform_v1beta1.UpdateNotebookRuntimeTemplateRequest(
        notebook_runtime_template=notebook_runtime_template,
    )

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

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.UpdateNotebookRuntimeTemplateRequest, dict]]) – The request object. Request message for [NotebookService.UpdateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.UpdateNotebookRuntimeTemplate].
notebook_runtime_template (google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate) –
Required. The NotebookRuntimeTemplate to update.

This corresponds to the notebook_runtime_template field on the request instance; if request is provided, this should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask) –
Required. The update mask applies to the resource. For the FieldMask definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask]. Input format: {paths: "${updated_filed}"} Updatable fields:
- encryption_spec.kms_key_name
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:

A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template.

Return type:

google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate

async upgrade_notebook_runtime(request: Optional[Union[UpgradeNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]¶

Upgrades a NotebookRuntime.

# 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 aiplatform_v1beta1

async def sample_upgrade_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.UpgradeNotebookRuntimeRequest(
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters:

request (Optional[Union[google.cloud.aiplatform_v1beta1.types.UpgradeNotebookRuntimeRequest, dict]]) – The request object. Request message for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].
name (str) –
Required. The name of the NotebookRuntime resource to be upgrade. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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.aiplatform_v1beta1.types.UpgradeNotebookRuntimeResponse Response message for: [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].

Return type:

google.api_core.operation_async.AsyncOperation

async wait_operation(request: Optional[WaitOperationRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters:

request (WaitOperationRequest) – The request object. Request message for WaitOperation 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

class google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient(*, credentials: ~typing.Optional[~google.auth.credentials.Credentials] = None, transport: ~typing.Optional[~typing.Union[str, ~google.cloud.aiplatform_v1beta1.services.notebook_service.transports.base.NotebookServiceTransport, ~typing.Callable[[...], ~google.cloud.aiplatform_v1beta1.services.notebook_service.transports.base.NotebookServiceTransport]]] = None, client_options: ~typing.Optional[~typing.Union[~google.api_core.client_options.ClientOptions, dict]] = None, client_info: ~google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

The interface for Vertex Notebook service (a.k.a. Colab on Workbench).

Instantiates the notebook service client.

Parameters:

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

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

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

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

Raises:

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

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

Warning

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

property api_endpoint¶

Return the API endpoint used by the client instance.

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

assign_notebook_runtime(request: Optional[Union[AssignNotebookRuntimeRequest, dict]] = None, *, parent: Optional[str] = None, notebook_runtime_template: Optional[str] = None, notebook_runtime: Optional[NotebookRuntime] = None, notebook_runtime_id: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Assigns a NotebookRuntime to a user for a particular Notebook file. This method will either returns an existing assignment or generates a new one.

# 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 aiplatform_v1beta1

def sample_assign_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    notebook_runtime = aiplatform_v1beta1.NotebookRuntime()
    notebook_runtime.runtime_user = "runtime_user_value"
    notebook_runtime.display_name = "display_name_value"

    request = aiplatform_v1beta1.AssignNotebookRuntimeRequest(
        parent="parent_value",
        notebook_runtime_template="notebook_runtime_template_value",
        notebook_runtime=notebook_runtime,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.AssignNotebookRuntimeRequest, dict]) – The request object. Request message for [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.AssignNotebookRuntime].
parent (str) –
Required. The resource name of the Location to get the NotebookRuntime assignment. Format: projects/{project}/locations/{location}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
notebook_runtime_template (str) –
Required. The resource name of the NotebookRuntimeTemplate based on which a NotebookRuntime will be assigned (reuse or create a new one).

This corresponds to the notebook_runtime_template field on the request instance; if request is provided, this should not be set.
notebook_runtime (google.cloud.aiplatform_v1beta1.types.NotebookRuntime) –
Required. Provide runtime specific information (e.g. runtime owner, notebook id) used for NotebookRuntime assignment.

This corresponds to the notebook_runtime field on the request instance; if request is provided, this should not be set.
notebook_runtime_id (str) –
Optional. User specified ID for the notebook runtime.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1beta1.types.NotebookRuntime A runtime is a virtual machine allocated to a particular user for a: particular Notebook file on temporary basis with lifetime limited to 24 hours.

Return type:

google.api_core.operation.Operation

cancel_operation(request: Optional[CancelOperationRequest] = None, *, retry: Optional[Union[Retry, _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_notebook_execution_job(request: Optional[Union[CreateNotebookExecutionJobRequest, dict]] = None, *, parent: Optional[str] = None, notebook_execution_job: Optional[NotebookExecutionJob] = None, notebook_execution_job_id: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Creates a NotebookExecutionJob.

# 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 aiplatform_v1beta1

def sample_create_notebook_execution_job():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    notebook_execution_job = aiplatform_v1beta1.NotebookExecutionJob()
    notebook_execution_job.notebook_runtime_template_resource_name = "notebook_runtime_template_resource_name_value"
    notebook_execution_job.gcs_output_uri = "gcs_output_uri_value"
    notebook_execution_job.execution_user = "execution_user_value"

    request = aiplatform_v1beta1.CreateNotebookExecutionJobRequest(
        parent="parent_value",
        notebook_execution_job=notebook_execution_job,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.CreateNotebookExecutionJobRequest, dict]) – The request object. Request message for [NotebookService.CreateNotebookExecutionJob]
parent (str) –
Required. The resource name of the Location to create the NotebookExecutionJob. Format: projects/{project}/locations/{location}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
notebook_execution_job (google.cloud.aiplatform_v1beta1.types.NotebookExecutionJob) –
Required. The NotebookExecutionJob to create.

This corresponds to the notebook_execution_job field on the request instance; if request is provided, this should not be set.
notebook_execution_job_id (str) –
Optional. User specified ID for the NotebookExecutionJob.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1beta1.types.NotebookExecutionJob NotebookExecutionJob represents an instance of a notebook execution.

Return type:

google.api_core.operation.Operation

create_notebook_runtime_template(request: Optional[Union[CreateNotebookRuntimeTemplateRequest, dict]] = None, *, parent: Optional[str] = None, notebook_runtime_template: Optional[NotebookRuntimeTemplate] = None, notebook_runtime_template_id: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Creates a NotebookRuntimeTemplate.

# 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 aiplatform_v1beta1

def sample_create_notebook_runtime_template():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    notebook_runtime_template = aiplatform_v1beta1.NotebookRuntimeTemplate()
    notebook_runtime_template.display_name = "display_name_value"

    request = aiplatform_v1beta1.CreateNotebookRuntimeTemplateRequest(
        parent="parent_value",
        notebook_runtime_template=notebook_runtime_template,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.CreateNotebookRuntimeTemplateRequest, dict]) – The request object. Request message for [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.CreateNotebookRuntimeTemplate].
parent (str) –
Required. The resource name of the Location to create the NotebookRuntimeTemplate. Format: projects/{project}/locations/{location}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
notebook_runtime_template (google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate) –
Required. The NotebookRuntimeTemplate to create.

This corresponds to the notebook_runtime_template field on the request instance; if request is provided, this should not be set.
notebook_runtime_template_id (str) –
Optional. User specified ID for the notebook runtime template.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate A template that specifies runtime configurations such as machine type,: runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template.

Return type:

google.api_core.operation.Operation

delete_notebook_execution_job(request: Optional[Union[DeleteNotebookExecutionJobRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Deletes a NotebookExecutionJob.

# 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 aiplatform_v1beta1

def sample_delete_notebook_execution_job():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteNotebookExecutionJobRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.DeleteNotebookExecutionJobRequest, dict]) – The request object. Request message for [NotebookService.DeleteNotebookExecutionJob]
name (str) –
Required. The name of the NotebookExecutionJob resource to be deleted.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type:

google.api_core.operation.Operation

delete_notebook_runtime(request: Optional[Union[DeleteNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Deletes a NotebookRuntime.

# 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 aiplatform_v1beta1

def sample_delete_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteNotebookRuntimeRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.DeleteNotebookRuntimeRequest, dict]) – The request object. Request message for [NotebookService.DeleteNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.DeleteNotebookRuntime].
name (str) –
Required. The name of the NotebookRuntime resource to be deleted. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type:

google.api_core.operation.Operation

delete_notebook_runtime_template(request: Optional[Union[DeleteNotebookRuntimeTemplateRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Deletes a NotebookRuntimeTemplate.

# 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 aiplatform_v1beta1

def sample_delete_notebook_runtime_template():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteNotebookRuntimeTemplateRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.DeleteNotebookRuntimeTemplateRequest, dict]) – The request object. Request message for [NotebookService.DeleteNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.DeleteNotebookRuntimeTemplate].
name (str) –
Required. The name of the NotebookRuntimeTemplate resource to be deleted. Format: projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}

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

Returns:

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type:

google.api_core.operation.Operation

delete_operation(request: Optional[DeleteOperationRequest] = None, *, retry: Optional[Union[Retry, _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

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

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

Parameters:

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

Returns:

The constructed client.

Return type:

NotebookServiceClient

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

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

Parameters:

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

Returns:

The constructed client.

Return type:

NotebookServiceClient

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

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

Parameters:

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

Returns:

The constructed client.

Return type:

NotebookServiceClient

get_iam_policy(request: Optional[GetIamPolicyRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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[GetLocationRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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[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_notebook_execution_job(request: Optional[Union[GetNotebookExecutionJobRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → NotebookExecutionJob[source]¶

Gets a NotebookExecutionJob.

# 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 aiplatform_v1beta1

def sample_get_notebook_execution_job():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetNotebookExecutionJobRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.GetNotebookExecutionJobRequest, dict]) – The request object. Request message for [NotebookService.GetNotebookExecutionJob]
name (str) –
Required. The name of the NotebookExecutionJob resource.

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:

NotebookExecutionJob represents an instance of a notebook execution.

Return type:

google.cloud.aiplatform_v1beta1.types.NotebookExecutionJob

get_notebook_runtime(request: Optional[Union[GetNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → NotebookRuntime[source]¶

Gets a NotebookRuntime.

# 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 aiplatform_v1beta1

def sample_get_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetNotebookRuntimeRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.GetNotebookRuntimeRequest, dict]) – The request object. Request message for [NotebookService.GetNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.GetNotebookRuntime]
name (str) –
Required. The name of the NotebookRuntime resource. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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:

A runtime is a virtual machine allocated to a particular user for a particular Notebook file on temporary basis with lifetime limited to 24 hours.

Return type:

google.cloud.aiplatform_v1beta1.types.NotebookRuntime

get_notebook_runtime_template(request: Optional[Union[GetNotebookRuntimeTemplateRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → NotebookRuntimeTemplate[source]¶

Gets a NotebookRuntimeTemplate.

# 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 aiplatform_v1beta1

def sample_get_notebook_runtime_template():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetNotebookRuntimeTemplateRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.GetNotebookRuntimeTemplateRequest, dict]) – The request object. Request message for [NotebookService.GetNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.GetNotebookRuntimeTemplate]
name (str) –
Required. The name of the NotebookRuntimeTemplate resource. Format: projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}

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:

A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template.

Return type:

google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate

get_operation(request: Optional[GetOperationRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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

list_locations(request: Optional[ListLocationsRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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_notebook_execution_jobs(request: Optional[Union[ListNotebookExecutionJobsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListNotebookExecutionJobsPager[source]¶

Lists NotebookExecutionJobs in a 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 aiplatform_v1beta1

def sample_list_notebook_execution_jobs():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListNotebookExecutionJobsRequest(
        parent="parent_value",
    )

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

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

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.ListNotebookExecutionJobsRequest, dict]) – The request object. Request message for [NotebookService.ListNotebookExecutionJobs]
parent (str) –
Required. The resource name of the Location from which to list the NotebookExecutionJobs. Format: projects/{project}/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 message for [NotebookService.CreateNotebookExecutionJob]

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

Return type:

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookExecutionJobsPager

list_notebook_runtime_templates(request: Optional[Union[ListNotebookRuntimeTemplatesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListNotebookRuntimeTemplatesPager[source]¶

Lists NotebookRuntimeTemplates in a 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 aiplatform_v1beta1

def sample_list_notebook_runtime_templates():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListNotebookRuntimeTemplatesRequest(
        parent="parent_value",
    )

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

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

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesRequest, dict]) – The request object. Request message for [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimeTemplates].
parent (str) –
Required. The resource name of the Location from which to list the NotebookRuntimeTemplates. Format: projects/{project}/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 message for: [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimeTemplates].

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

Return type:

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesPager

list_notebook_runtimes(request: Optional[Union[ListNotebookRuntimesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListNotebookRuntimesPager[source]¶

Lists NotebookRuntimes in a 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 aiplatform_v1beta1

def sample_list_notebook_runtimes():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListNotebookRuntimesRequest(
        parent="parent_value",
    )

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

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

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesRequest, dict]) – The request object. Request message for [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimes].
parent (str) –
Required. The resource name of the Location from which to list the NotebookRuntimes. Format: projects/{project}/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 message for: [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimes].

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

Return type:

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesPager

list_operations(request: Optional[ListOperationsRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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

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

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

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

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

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

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

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

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

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

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

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

static reservation_path(project_id_or_number: str, zone: str, reservation_name: str) → str[source]¶: Returns a fully-qualified reservation string.

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

set_iam_policy(request: Optional[SetIamPolicyRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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_notebook_runtime(request: Optional[Union[StartNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Starts a NotebookRuntime.

# 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 aiplatform_v1beta1

def sample_start_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.StartNotebookRuntimeRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.StartNotebookRuntimeRequest, dict]) – The request object. Request message for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].
name (str) –
Required. The name of the NotebookRuntime resource to be started. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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.aiplatform_v1beta1.types.StartNotebookRuntimeResponse Response message for: [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].

Return type:

google.api_core.operation.Operation

stop_notebook_runtime(request: Optional[Union[StopNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Stops a NotebookRuntime.

# 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 aiplatform_v1beta1

def sample_stop_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.StopNotebookRuntimeRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.StopNotebookRuntimeRequest, dict]) – The request object. Request message for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].
name (str) –
Required. The name of the NotebookRuntime resource to be stopped. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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.aiplatform_v1beta1.types.StopNotebookRuntimeResponse Response message for: [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].

Return type:

google.api_core.operation.Operation

static subnetwork_path(project: str, region: str, subnetwork: str) → str[source]¶: Returns a fully-qualified subnetwork string.

test_iam_permissions(request: Optional[TestIamPermissionsRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → 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: NotebookServiceTransport¶

Returns the transport used by the client instance.

Returns:

The transport used by the client: instance.

Return type:

NotebookServiceTransport

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_notebook_runtime_template(request: Optional[Union[UpdateNotebookRuntimeTemplateRequest, dict]] = None, *, notebook_runtime_template: Optional[NotebookRuntimeTemplate] = None, update_mask: Optional[FieldMask] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → NotebookRuntimeTemplate[source]¶

Updates a NotebookRuntimeTemplate.

# 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 aiplatform_v1beta1

def sample_update_notebook_runtime_template():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    notebook_runtime_template = aiplatform_v1beta1.NotebookRuntimeTemplate()
    notebook_runtime_template.display_name = "display_name_value"

    request = aiplatform_v1beta1.UpdateNotebookRuntimeTemplateRequest(
        notebook_runtime_template=notebook_runtime_template,
    )

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

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.UpdateNotebookRuntimeTemplateRequest, dict]) – The request object. Request message for [NotebookService.UpdateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.UpdateNotebookRuntimeTemplate].
notebook_runtime_template (google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate) –
Required. The NotebookRuntimeTemplate to update.

This corresponds to the notebook_runtime_template field on the request instance; if request is provided, this should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask) –
Required. The update mask applies to the resource. For the FieldMask definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask]. Input format: {paths: "${updated_filed}"} Updatable fields:
- encryption_spec.kms_key_name
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:

A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template.

Return type:

google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate

upgrade_notebook_runtime(request: Optional[Union[UpgradeNotebookRuntimeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Upgrades a NotebookRuntime.

# 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 aiplatform_v1beta1

def sample_upgrade_notebook_runtime():
    # Create a client
    client = aiplatform_v1beta1.NotebookServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.UpgradeNotebookRuntimeRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters:

request (Union[google.cloud.aiplatform_v1beta1.types.UpgradeNotebookRuntimeRequest, dict]) – The request object. Request message for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].
name (str) –
Required. The name of the NotebookRuntime resource to be upgrade. Instead of checking whether the name is in valid NotebookRuntime resource name format, directly throw NotFound exception if there is no such NotebookRuntime in spanner.

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.aiplatform_v1beta1.types.UpgradeNotebookRuntimeResponse Response message for: [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].

Return type:

google.api_core.operation.Operation

wait_operation(request: Optional[WaitOperationRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]¶

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters:

request (WaitOperationRequest) – The request object. Request message for WaitOperation 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

class google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookExecutionJobsAsyncPager(method: Callable[[...], Awaitable[ListNotebookExecutionJobsResponse]], request: ListNotebookExecutionJobsRequest, response: ListNotebookExecutionJobsResponse, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_notebook_execution_jobs requests.

This class thinly wraps an initial google.cloud.aiplatform_v1beta1.types.ListNotebookExecutionJobsResponse object, and provides an __aiter__ method to iterate through its notebook_execution_jobs field.

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

All the usual google.cloud.aiplatform_v1beta1.types.ListNotebookExecutionJobsResponse 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.aiplatform_v1beta1.types.ListNotebookExecutionJobsRequest) – The initial request object.
response (google.cloud.aiplatform_v1beta1.types.ListNotebookExecutionJobsResponse) – 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.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookExecutionJobsPager(method: Callable[[...], ListNotebookExecutionJobsResponse], request: ListNotebookExecutionJobsRequest, response: ListNotebookExecutionJobsResponse, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_notebook_execution_jobs requests.

This class thinly wraps an initial google.cloud.aiplatform_v1beta1.types.ListNotebookExecutionJobsResponse object, and provides an __iter__ method to iterate through its notebook_execution_jobs field.

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

All the usual google.cloud.aiplatform_v1beta1.types.ListNotebookExecutionJobsResponse 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.aiplatform_v1beta1.types.ListNotebookExecutionJobsRequest) – The initial request object.
response (google.cloud.aiplatform_v1beta1.types.ListNotebookExecutionJobsResponse) – The initial response object.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

class google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesAsyncPager(method: Callable[[...], Awaitable[ListNotebookRuntimeTemplatesResponse]], request: ListNotebookRuntimeTemplatesRequest, response: ListNotebookRuntimeTemplatesResponse, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_notebook_runtime_templates requests.

This class thinly wraps an initial google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesResponse object, and provides an __aiter__ method to iterate through its notebook_runtime_templates field.

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

All the usual google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesResponse 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.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesRequest) – The initial request object.
response (google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesResponse) – 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.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesPager(method: Callable[[...], ListNotebookRuntimeTemplatesResponse], request: ListNotebookRuntimeTemplatesRequest, response: ListNotebookRuntimeTemplatesResponse, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_notebook_runtime_templates requests.

This class thinly wraps an initial google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesResponse object, and provides an __iter__ method to iterate through its notebook_runtime_templates field.

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

All the usual google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesResponse 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.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesRequest) – The initial request object.
response (google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesResponse) – The initial response object.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

class google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesAsyncPager(method: Callable[[...], Awaitable[ListNotebookRuntimesResponse]], request: ListNotebookRuntimesRequest, response: ListNotebookRuntimesResponse, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_notebook_runtimes requests.

This class thinly wraps an initial google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesResponse object, and provides an __aiter__ method to iterate through its notebook_runtimes field.

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

All the usual google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesResponse 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.aiplatform_v1beta1.types.ListNotebookRuntimesRequest) – The initial request object.
response (google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesResponse) – 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.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesPager(method: Callable[[...], ListNotebookRuntimesResponse], request: ListNotebookRuntimesRequest, response: ListNotebookRuntimesResponse, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_notebook_runtimes requests.

This class thinly wraps an initial google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesResponse object, and provides an __iter__ method to iterate through its notebook_runtimes field.

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

All the usual google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesResponse 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.aiplatform_v1beta1.types.ListNotebookRuntimesRequest) – The initial request object.
response (google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesResponse) – The initial response object.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

NotebookService¶

google-cloud-aiplatform

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