WorkstationsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, 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]] = 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 |
Union[str, WorkstationsTransport]
The transport to use. 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 |
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 |
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 |
The request object. Request message for |
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 |
workstation |
google.cloud.workstations_v1.types.Workstation
Required. Workstation to create. This corresponds to the |
workstation_id |
str
Required. ID to use for the workstation. This corresponds to the |
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 |
workstation_cluster |
google.cloud.workstations_v1.types.WorkstationCluster
Required. Workstation cluster to create. This corresponds to the |
workstation_cluster_id |
str
Required. ID to use for the workstation cluster. This corresponds to the |
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 |
workstation_config |
google.cloud.workstations_v1.types.WorkstationConfig
Required. Config to create. This corresponds to the |
workstation_config_id |
str
Required. ID to use for the workstation configuration. This corresponds to the |
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 |
The request object. Request message for |
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 |
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 |
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 |
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 |
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 |
The request object. Request message for |
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 |
| 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 |
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 |
The request object. Request message for |
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 |
| 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 |
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 |
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 |
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 |
The request object. Request message for |
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 |
| 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 |
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 |
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 |
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 |
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 |
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 |
The request object. Request message for |
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 |
| 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 |
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 |
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 |
The request object. Request message for |
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 |
| 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 |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
Required. Mask specifying which fields in the workstation configuration should be updated. This corresponds to the |
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 |
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 |
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 |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
Required. Mask specifying which fields in the workstation configuration should be updated. This corresponds to the |
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.