Class WorkstationsClient (0.5.9) 

WorkstationsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.workstations_v1.services.workstations.transports.base.WorkstationsTransport, typing.Callable[[...], google.cloud.workstations_v1.services.workstations.transports.base.WorkstationsTransport]]] = 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>)

Service for interacting with Cloud Workstations.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type Description
str The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type Description
WorkstationsTransport The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type Description
str The universe domain used by the client instance.

Methods

WorkstationsClient

WorkstationsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.workstations_v1.services.workstations.transports.base.WorkstationsTransport, typing.Callable[[...], google.cloud.workstations_v1.services.workstations.transports.base.WorkstationsTransport]]] = 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>)

Instantiates the workstations client.

Parameters
Name Description
credentials Optional[google.auth.credentials.Credentials]

The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport Optional[Union[str,WorkstationsTransport,Callable[..., WorkstationsTransport]]]

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

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

cancel_operation

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

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
Name Description
request .operations_pb2.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.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_workstation

create_workstation(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.CreateWorkstationRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    workstation: typing.Optional[
        google.cloud.workstations_v1.types.workstations.Workstation
    ] = None,
    workstation_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new workstation.

# 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 workstations_v1

def sample_create_workstation():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.CreateWorkstationRequest(
        parent="parent_value",
        workstation_id="workstation_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.CreateWorkstationRequest, dict]

The request object. Message for creating a CreateWorkstation.
parent str

Required. Parent resource name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
workstation google.cloud.workstations_v1.types.Workstation

Required. Workstation to create. This corresponds to the workstation field on the request instance; if request is provided, this should not be set.
workstation_id str

Required. ID to use for the workstation. This corresponds to the workstation_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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Workstation A single instance of a developer workstation with its own persistent storage.

create_workstation_cluster

create_workstation_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.CreateWorkstationClusterRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    workstation_cluster: typing.Optional[
        google.cloud.workstations_v1.types.workstations.WorkstationCluster
    ] = None,
    workstation_cluster_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new workstation cluster.

# 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 workstations_v1

def sample_create_workstation_cluster():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.CreateWorkstationClusterRequest(
        parent="parent_value",
        workstation_cluster_id="workstation_cluster_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.CreateWorkstationClusterRequest, dict]

The request object. Message for creating a CreateWorkstationCluster.
parent str

Required. Parent resource name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
workstation_cluster google.cloud.workstations_v1.types.WorkstationCluster

Required. Workstation cluster to create. This corresponds to the workstation_cluster field on the request instance; if request is provided, this should not be set.
workstation_cluster_id str

Required. ID to use for the workstation cluster. This corresponds to the workstation_cluster_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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be WorkstationCluster A workstation cluster resource in the Cloud Workstations API. Defines a group of workstations in a particular region and the VPC network they're attached to.

create_workstation_config

create_workstation_config(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.CreateWorkstationConfigRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    workstation_config: typing.Optional[
        google.cloud.workstations_v1.types.workstations.WorkstationConfig
    ] = None,
    workstation_config_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new workstation configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import workstations_v1

def sample_create_workstation_config():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.CreateWorkstationConfigRequest(
        parent="parent_value",
        workstation_config_id="workstation_config_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.CreateWorkstationConfigRequest, dict]

The request object. Message for creating a CreateWorkstationConfig.
parent str

Required. Parent resource name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
workstation_config google.cloud.workstations_v1.types.WorkstationConfig

Required. Config to create. This corresponds to the workstation_config field on the request instance; if request is provided, this should not be set.
workstation_config_id str

Required. ID to use for the workstation configuration. This corresponds to the workstation_config_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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be WorkstationConfig A workstation configuration resource in the Cloud Workstations API. Workstation configurations act as templates for workstations. The workstation configuration defines details such as the workstation virtual machine (VM) instance type, persistent storage, container image defining environment, which IDE or Code Editor to use, and more. Administrators and platform teams can also use [Identity and Access Management (IAM)](https://cloud.google.com/iam/docs/overview) rules to grant access to teams or to individual developers.

delete_operation

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

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
Name Description
request .operations_pb2.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.

delete_workstation

delete_workstation(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.DeleteWorkstationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes the specified workstation.

# 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 workstations_v1

def sample_delete_workstation():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.DeleteWorkstationRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.DeleteWorkstationRequest, dict]

The request object. Request message for DeleteWorkstation.
name str

Required. Name of the workstation to delete. 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Workstation A single instance of a developer workstation with its own persistent storage.

delete_workstation_cluster

delete_workstation_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.DeleteWorkstationClusterRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes the specified workstation cluster.

# 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 workstations_v1

def sample_delete_workstation_cluster():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.DeleteWorkstationClusterRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.DeleteWorkstationClusterRequest, dict]

The request object. Message for deleting a workstation cluster.
name str

Required. Name of the workstation cluster to delete. 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be WorkstationCluster A workstation cluster resource in the Cloud Workstations API. Defines a group of workstations in a particular region and the VPC network they're attached to.

delete_workstation_config

delete_workstation_config(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.DeleteWorkstationConfigRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes the specified workstation configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import workstations_v1

def sample_delete_workstation_config():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.DeleteWorkstationConfigRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.DeleteWorkstationConfigRequest, dict]

The request object. Message for deleting a workstation configuration.
name str

Required. Name of the workstation configuration to delete. 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be WorkstationConfig A workstation configuration resource in the Cloud Workstations API. Workstation configurations act as templates for workstations. The workstation configuration defines details such as the workstation virtual machine (VM) instance type, persistent storage, container image defining environment, which IDE or Code Editor to use, and more. Administrators and platform teams can also use [Identity and Access Management (IAM)](https://cloud.google.com/iam/docs/overview) rules to grant access to teams or to individual developers.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

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

Parameter
Name Description
filename str

The path to the service account private key json file.
Returns
Type Description
WorkstationsClient The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

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

Parameter
Name Description
info dict

The service account private key info.
Returns
Type Description
WorkstationsClient The constructed client.

from_service_account_json

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

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

Parameter
Name Description
filename str

The path to the service account private key json file.
Returns
Type Description
WorkstationsClient The constructed client.

generate_access_token

generate_access_token(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.GenerateAccessTokenRequest,
            dict,
        ]
    ] = None,
    *,
    workstation: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.workstations_v1.types.workstations.GenerateAccessTokenResponse

Returns a short-lived credential that can be used to send authenticated and authorized traffic to a workstation.

# 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 workstations_v1

def sample_generate_access_token():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.GenerateAccessTokenRequest(
        workstation="workstation_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.GenerateAccessTokenRequest, dict]

The request object. Request message for GenerateAccessToken.
workstation str

Required. Name of the workstation for which the access token should be generated. This corresponds to the workstation 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
Type Description
google.cloud.workstations_v1.types.GenerateAccessTokenResponse Response message for GenerateAccessToken.

get_iam_policy

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

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
Name Description
request .iam_policy_pb2.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
Type Description
.policy_pb2.Policy 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 __.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

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.

Parameter
Name Description
client_options google.api_core.client_options.ClientOptions

Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.
Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If any errors happen.
Returns
Type Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]] returns the API endpoint and the client cert source to use.

get_operation

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

Gets the latest state of a long-running operation.

Parameters
Name Description
request .operations_pb2.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
Type Description
.operations_pb2.Operation An Operation object.

get_workstation

get_workstation(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.GetWorkstationRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.workstations_v1.types.workstations.Workstation

Returns the requested workstation.

# 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 workstations_v1

def sample_get_workstation():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.GetWorkstationRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.GetWorkstationRequest, dict]

The request object. Request message for GetWorkstation.
name str

Required. Name of the requested 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
Type Description
google.cloud.workstations_v1.types.Workstation A single instance of a developer workstation with its own persistent storage.

get_workstation_cluster

get_workstation_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.GetWorkstationClusterRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.workstations_v1.types.workstations.WorkstationCluster

Returns the requested workstation cluster.

# 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 workstations_v1

def sample_get_workstation_cluster():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.GetWorkstationClusterRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.GetWorkstationClusterRequest, dict]

The request object. Request message for GetWorkstationCluster.
name str

Required. Name of the requested 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
Type Description
google.cloud.workstations_v1.types.WorkstationCluster A workstation cluster resource in the Cloud Workstations API. Defines a group of workstations in a particular region and the VPC network they're attached to.

get_workstation_config

get_workstation_config(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.GetWorkstationConfigRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.workstations_v1.types.workstations.WorkstationConfig

Returns the requested workstation configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import workstations_v1

def sample_get_workstation_config():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.GetWorkstationConfigRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.GetWorkstationConfigRequest, dict]

The request object. Request message for GetWorkstationConfig.
name str

Required. Name of the requested 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
Type Description
google.cloud.workstations_v1.types.WorkstationConfig A workstation configuration resource in the Cloud Workstations API. Workstation configurations act as templates for workstations. The workstation configuration defines details such as the workstation virtual machine (VM) instance type, persistent storage, container image defining environment, which IDE or Code Editor to use, and more. Administrators and platform teams can also use [Identity and Access Management (IAM)](https://cloud.google.com/iam/docs/overview) rules to grant access to teams or to individual developers.

list_operations

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

Lists operations that match the specified filter in the request.

Parameters
Name Description
request .operations_pb2.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
Type Description
.operations_pb2.ListOperationsResponse Response message for ListOperations method.

list_usable_workstation_configs

list_usable_workstation_configs(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.ListUsableWorkstationConfigsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.workstations_v1.services.workstations.pagers.ListUsableWorkstationConfigsPager
)

Returns all workstation configurations in the specified cluster on which the caller has the "workstations.workstation.create" permission.

# 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 workstations_v1

def sample_list_usable_workstation_configs():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.ListUsableWorkstationConfigsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.ListUsableWorkstationConfigsRequest, dict]

The request object. Request message for ListUsableWorkstationConfigs.
parent str

Required. Parent resource name. 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
Type Description
google.cloud.workstations_v1.services.workstations.pagers.ListUsableWorkstationConfigsPager Response message for ListUsableWorkstationConfigs. Iterating over this object will yield results and resolve additional pages automatically.

list_usable_workstations

list_usable_workstations(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.ListUsableWorkstationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.workstations_v1.services.workstations.pagers.ListUsableWorkstationsPager
)

Returns all workstations using the specified workstation configuration on which the caller has the "workstations.workstations.use" permission.

# 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 workstations_v1

def sample_list_usable_workstations():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.ListUsableWorkstationsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.ListUsableWorkstationsRequest, dict]

The request object. Request message for ListUsableWorkstations.
parent str

Required. Parent resource name. 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
Type Description
google.cloud.workstations_v1.services.workstations.pagers.ListUsableWorkstationsPager Response message for ListUsableWorkstations. Iterating over this object will yield results and resolve additional pages automatically.

list_workstation_clusters

list_workstation_clusters(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.ListWorkstationClustersRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.workstations_v1.services.workstations.pagers.ListWorkstationClustersPager
)

Returns all workstation clusters in the specified 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 workstations_v1

def sample_list_workstation_clusters():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.ListWorkstationClustersRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.ListWorkstationClustersRequest, dict]

The request object. Request message for ListWorkstationClusters.
parent str

Required. Parent resource name. 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
Type Description
google.cloud.workstations_v1.services.workstations.pagers.ListWorkstationClustersPager Response message for ListWorkstationClusters. Iterating over this object will yield results and resolve additional pages automatically.

list_workstation_configs

list_workstation_configs(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.ListWorkstationConfigsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.workstations_v1.services.workstations.pagers.ListWorkstationConfigsPager
)

Returns all workstation configurations in the specified cluster.

# 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 workstations_v1

def sample_list_workstation_configs():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.ListWorkstationConfigsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.ListWorkstationConfigsRequest, dict]

The request object. Request message for ListWorkstationConfigs.
parent str

Required. Parent resource name. 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
Type Description
google.cloud.workstations_v1.services.workstations.pagers.ListWorkstationConfigsPager Response message for ListWorkstationConfigs. Iterating over this object will yield results and resolve additional pages automatically.

list_workstations

list_workstations(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.ListWorkstationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.workstations_v1.services.workstations.pagers.ListWorkstationsPager

Returns all Workstations using the specified workstation configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import workstations_v1

def sample_list_workstations():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.ListWorkstationsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.ListWorkstationsRequest, dict]

The request object. Request message for ListWorkstations.
parent str

Required. Parent resource name. 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
Type Description
google.cloud.workstations_v1.services.workstations.pagers.ListWorkstationsPager Response message for ListWorkstations. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_workstation_cluster_path

parse_workstation_cluster_path(path: str) -> typing.Dict[str, str]

Parses a workstation_cluster path into its component segments.

parse_workstation_config_path

parse_workstation_config_path(path: str) -> typing.Dict[str, str]

Parses a workstation_config path into its component segments.

parse_workstation_path

parse_workstation_path(path: str) -> typing.Dict[str, str]

Parses a workstation path into its component segments.

set_iam_policy

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

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters
Name Description
request .iam_policy_pb2.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
Type Description
.policy_pb2.Policy 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 __.

start_workstation

start_workstation(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.StartWorkstationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Starts running a workstation so that users can connect to it.

# 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 workstations_v1

def sample_start_workstation():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.StartWorkstationRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.StartWorkstationRequest, dict]

The request object. Request message for StartWorkstation.
name str

Required. Name of the workstation to start. 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Workstation A single instance of a developer workstation with its own persistent storage.

stop_workstation

stop_workstation(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.StopWorkstationRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Stops running a workstation, reducing costs.

# 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 workstations_v1

def sample_stop_workstation():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.StopWorkstationRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.StopWorkstationRequest, dict]

The request object. Request message for StopWorkstation.
name str

Required. Name of the workstation to stop. 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Workstation A single instance of a developer workstation with its own persistent storage.

test_iam_permissions

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

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
Name Description
request .iam_policy_pb2.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
Type Description
.iam_policy_pb2.TestIamPermissionsResponse Response message for TestIamPermissions method.

update_workstation

update_workstation(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.UpdateWorkstationRequest,
            dict,
        ]
    ] = None,
    *,
    workstation: typing.Optional[
        google.cloud.workstations_v1.types.workstations.Workstation
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates an existing workstation.

# 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 workstations_v1

def sample_update_workstation():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.UpdateWorkstationRequest(
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.UpdateWorkstationRequest, dict]

The request object. Request message for UpdateWorkstation.
workstation google.cloud.workstations_v1.types.Workstation

Required. Workstation to update. This corresponds to the workstation field on the request instance; if request is provided, this should not be set.
update_mask google.protobuf.field_mask_pb2.FieldMask

Required. Mask specifying which fields in the workstation configuration should be updated. 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Workstation A single instance of a developer workstation with its own persistent storage.

update_workstation_cluster

update_workstation_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.UpdateWorkstationClusterRequest,
            dict,
        ]
    ] = None,
    *,
    workstation_cluster: typing.Optional[
        google.cloud.workstations_v1.types.workstations.WorkstationCluster
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates an existing workstation cluster.

# 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 workstations_v1

def sample_update_workstation_cluster():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.UpdateWorkstationClusterRequest(
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.UpdateWorkstationClusterRequest, dict]

The request object. Request message for UpdateWorkstationCluster.
workstation_cluster google.cloud.workstations_v1.types.WorkstationCluster

Required. Workstation cluster to update. This corresponds to the workstation_cluster field on the request instance; if request is provided, this should not be set.
update_mask google.protobuf.field_mask_pb2.FieldMask

Required. Mask that specifies which fields in the workstation cluster should be updated. 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be WorkstationCluster A workstation cluster resource in the Cloud Workstations API. Defines a group of workstations in a particular region and the VPC network they're attached to.

update_workstation_config

update_workstation_config(
    request: typing.Optional[
        typing.Union[
            google.cloud.workstations_v1.types.workstations.UpdateWorkstationConfigRequest,
            dict,
        ]
    ] = None,
    *,
    workstation_config: typing.Optional[
        google.cloud.workstations_v1.types.workstations.WorkstationConfig
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates an existing workstation configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import workstations_v1

def sample_update_workstation_config():
    # Create a client
    client = workstations_v1.WorkstationsClient()

    # Initialize request argument(s)
    request = workstations_v1.UpdateWorkstationConfigRequest(
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.workstations_v1.types.UpdateWorkstationConfigRequest, dict]

The request object. Request message for UpdateWorkstationConfig.
workstation_config google.cloud.workstations_v1.types.WorkstationConfig

Required. Config to update. This corresponds to the workstation_config field on the request instance; if request is provided, this should not be set.
update_mask google.protobuf.field_mask_pb2.FieldMask

Required. Mask specifying which fields in the workstation configuration should be updated. 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be WorkstationConfig A workstation configuration resource in the Cloud Workstations API. Workstation configurations act as templates for workstations. The workstation configuration defines details such as the workstation virtual machine (VM) instance type, persistent storage, container image defining environment, which IDE or Code Editor to use, and more. Administrators and platform teams can also use [Identity and Access Management (IAM)](https://cloud.google.com/iam/docs/overview) rules to grant access to teams or to individual developers.

workstation_cluster_path

workstation_cluster_path(
    project: str, location: str, workstation_cluster: str
) -> str

Returns a fully-qualified workstation_cluster string.

workstation_config_path

workstation_config_path(
    project: str, location: str, workstation_cluster: str, workstation_config: str
) -> str

Returns a fully-qualified workstation_config string.

workstation_path

workstation_path(
    project: str,
    location: str,
    workstation_cluster: str,
    workstation_config: str,
    workstation: str,
) -> str

Returns a fully-qualified workstation string.