CloudDeployClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.deploy_v1.services.cloud_deploy.transports.base.CloudDeployTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
CloudDeploy service creates and manages Continuous Delivery operations on Google Cloud Platform via Skaffold (https://skaffold.dev).
Inheritance
builtins.object > CloudDeployClientProperties
transport
Returns the transport used by the client instance.
Type | Description |
CloudDeployTransport | The transport used by the client instance. |
Methods
CloudDeployClient
CloudDeployClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.deploy_v1.services.cloud_deploy.transports.base.CloudDeployTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the cloud deploy client.
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, CloudDeployTransport]
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. It won't take effect if a |
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 |
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.
abandon_release
abandon_release(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.AbandonReleaseRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Abandons a Release in the Delivery Pipeline.
# 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 deploy_v1
def sample_abandon_release():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.AbandonReleaseRequest(
name="name_value",
)
# Make the request
response = client.abandon_release(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.AbandonReleaseRequest, dict]
The request object. The request object used by |
name |
str
Required. Name of the Release. Format is projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/ releases/{release}. 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. |
Type | Description |
google.cloud.deploy_v1.types.AbandonReleaseResponse | The response object for AbandonRelease. |
approve_rollout
approve_rollout(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.ApproveRolloutRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Approves a Rollout.
# 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 deploy_v1
def sample_approve_rollout():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.ApproveRolloutRequest(
name="name_value",
approved=True,
)
# Make the request
response = client.approve_rollout(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.ApproveRolloutRequest, dict]
The request object. The request object used by |
name |
str
Required. Name of the Rollout. Format is projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/ releases/{release}/rollouts/{rollout}. 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. |
Type | Description |
google.cloud.deploy_v1.types.ApproveRolloutResponse | The response object from ApproveRollout. |
build_path
build_path(project: str, location: str, build: str)
Returns a fully-qualified build string.
cancel_operation
cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
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
.
Name | Description |
request |
`.operations_pb2.CancelOperationRequest`
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. |
cluster_path
cluster_path(project: str, location: str, cluster: str)
Returns a fully-qualified cluster string.
common_billing_account_path
common_billing_account_path(billing_account: str)
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Returns a fully-qualified project string.
config_path
config_path(project: str, location: str)
Returns a fully-qualified config string.
create_delivery_pipeline
create_delivery_pipeline(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.CreateDeliveryPipelineRequest, dict]] = None, *, parent: Optional[str] = None, delivery_pipeline: Optional[google.cloud.deploy_v1.types.cloud_deploy.DeliveryPipeline] = None, delivery_pipeline_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a new DeliveryPipeline in a given project and location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_create_delivery_pipeline():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.CreateDeliveryPipelineRequest(
parent="parent_value",
delivery_pipeline_id="delivery_pipeline_id_value",
)
# Make the request
operation = client.create_delivery_pipeline(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.CreateDeliveryPipelineRequest, dict]
The request object. The request object for |
parent |
str
Required. The parent collection in which the |
delivery_pipeline |
google.cloud.deploy_v1.types.DeliveryPipeline
Required. The |
delivery_pipeline_id |
str
Required. ID of 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. |
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be DeliveryPipeline A DeliveryPipeline resource in the Google Cloud Deploy API. A DeliveryPipeline defines a pipeline through which a Skaffold configuration can progress. |
create_release
create_release(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.CreateReleaseRequest, dict]] = None, *, parent: Optional[str] = None, release: Optional[google.cloud.deploy_v1.types.cloud_deploy.Release] = None, release_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a new Release in a given project and location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_create_release():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.CreateReleaseRequest(
parent="parent_value",
release_id="release_id_value",
)
# Make the request
operation = client.create_release(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.CreateReleaseRequest, dict]
The request object. The request object for |
parent |
str
Required. The parent collection in which the |
release |
google.cloud.deploy_v1.types.Release
Required. The |
release_id |
str
Required. ID of 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. |
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Release A Release resource in the Google Cloud Deploy API. A Release defines a specific Skaffold configuration instance that can be deployed. |
create_rollout
create_rollout(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.CreateRolloutRequest, dict]] = None, *, parent: Optional[str] = None, rollout: Optional[google.cloud.deploy_v1.types.cloud_deploy.Rollout] = None, rollout_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a new Rollout in a given project and location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_create_rollout():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
rollout = deploy_v1.Rollout()
rollout.target_id = "target_id_value"
request = deploy_v1.CreateRolloutRequest(
parent="parent_value",
rollout_id="rollout_id_value",
rollout=rollout,
)
# Make the request
operation = client.create_rollout(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.CreateRolloutRequest, dict]
The request object. CreateRolloutRequest is the request object used by |
parent |
str
Required. The parent collection in which the |
rollout |
google.cloud.deploy_v1.types.Rollout
Required. The |
rollout_id |
str
Required. ID of 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. |
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Rollout A Rollout resource in the Google Cloud Deploy API. A Rollout contains information around a specific deployment to a Target. |
create_target
create_target(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.CreateTargetRequest, dict]] = None, *, parent: Optional[str] = None, target: Optional[google.cloud.deploy_v1.types.cloud_deploy.Target] = None, target_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a new Target in a given project and location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_create_target():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.CreateTargetRequest(
parent="parent_value",
target_id="target_id_value",
)
# Make the request
operation = client.create_target(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.CreateTargetRequest, dict]
The request object. The request object for |
parent |
str
Required. The parent collection in which the |
target |
google.cloud.deploy_v1.types.Target
Required. The |
target_id |
str
Required. ID of 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. |
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Target A Target resource in the Google Cloud Deploy API. A Target defines a location to which a Skaffold configuration can be deployed. |
delete_delivery_pipeline
delete_delivery_pipeline(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.DeleteDeliveryPipelineRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes a single DeliveryPipeline.
# 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 deploy_v1
def sample_delete_delivery_pipeline():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.DeleteDeliveryPipelineRequest(
name="name_value",
)
# Make the request
operation = client.delete_delivery_pipeline(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.DeleteDeliveryPipelineRequest, dict]
The request object. The request object for |
name |
str
Required. The name of 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. |
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delete_operation
delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
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
.
Name | Description |
request |
`.operations_pb2.DeleteOperationRequest`
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_target
delete_target(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.DeleteTargetRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes a single Target.
# 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 deploy_v1
def sample_delete_target():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.DeleteTargetRequest(
name="name_value",
)
# Make the request
operation = client.delete_target(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.DeleteTargetRequest, dict]
The request object. The request object for |
name |
str
Required. The name of 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. |
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delivery_pipeline_path
delivery_pipeline_path(project: str, location: str, delivery_pipeline: str)
Returns a fully-qualified delivery_pipeline string.
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
CloudDeployClient | 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.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
CloudDeployClient | 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.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
CloudDeployClient | The constructed client. |
get_config
get_config(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.GetConfigRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets the configuration for a location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_get_config():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.GetConfigRequest(
name="name_value",
)
# Make the request
response = client.get_config(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.GetConfigRequest, dict]
The request object. Request to get a configuration. |
name |
str
Required. Name of requested 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. |
Type | Description |
google.cloud.deploy_v1.types.Config | Service-wide configuration. |
get_delivery_pipeline
get_delivery_pipeline(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.GetDeliveryPipelineRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets details of a single DeliveryPipeline.
# 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 deploy_v1
def sample_get_delivery_pipeline():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.GetDeliveryPipelineRequest(
name="name_value",
)
# Make the request
response = client.get_delivery_pipeline(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.GetDeliveryPipelineRequest, dict]
The request object. The request object for |
name |
str
Required. Name of 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. |
Type | Description |
google.cloud.deploy_v1.types.DeliveryPipeline | A DeliveryPipeline resource in the Google Cloud Deploy API. A DeliveryPipeline defines a pipeline through which a Skaffold configuration can progress. |
get_iam_policy
get_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets the IAM access control policy for a function.
Returns an empty policy if the function exists and does not have a policy set.
Name | Description |
request |
`.iam_policy_pb2.GetIamPolicyRequest`
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. |
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_job_run
get_job_run(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.GetJobRunRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets details of a single JobRun.
# 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 deploy_v1
def sample_get_job_run():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.GetJobRunRequest(
name="name_value",
)
# Make the request
response = client.get_job_run(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.GetJobRunRequest, dict]
The request object. GetJobRunRequest is the request object used by |
name |
str
Required. Name of 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. |
Type | Description |
google.cloud.deploy_v1.types.JobRun | A JobRun resource in the Google Cloud Deploy API. A JobRun contains information of a single Rollout job evaluation. |
get_location
get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets information about a location.
Name | Description |
request |
`.location_pb2.GetLocationRequest`
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. |
Type | Description |
`.location_pb2.Location` | Location object. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)
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 variabel 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.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_operation
get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets the latest state of a long-running operation.
Name | Description |
request |
`.operations_pb2.GetOperationRequest`
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. |
Type | Description |
`.operations_pb2.Operation` | An ``Operation`` object. |
get_release
get_release(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.GetReleaseRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets details of a single Release.
# 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 deploy_v1
def sample_get_release():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.GetReleaseRequest(
name="name_value",
)
# Make the request
response = client.get_release(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.GetReleaseRequest, dict]
The request object. The request object for |
name |
str
Required. Name of 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. |
Type | Description |
google.cloud.deploy_v1.types.Release | A Release resource in the Google Cloud Deploy API. A Release defines a specific Skaffold configuration instance that can be deployed. |
get_rollout
get_rollout(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.GetRolloutRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets details of a single Rollout.
# 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 deploy_v1
def sample_get_rollout():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.GetRolloutRequest(
name="name_value",
)
# Make the request
response = client.get_rollout(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.GetRolloutRequest, dict]
The request object. GetRolloutRequest is the request object used by |
name |
str
Required. Name of 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. |
Type | Description |
google.cloud.deploy_v1.types.Rollout | A Rollout resource in the Google Cloud Deploy API. A Rollout contains information around a specific deployment to a Target. |
get_target
get_target(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.GetTargetRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets details of a single Target.
# 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 deploy_v1
def sample_get_target():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.GetTargetRequest(
name="name_value",
)
# Make the request
response = client.get_target(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.GetTargetRequest, dict]
The request object. The request object for |
name |
str
Required. Name of 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. |
Type | Description |
google.cloud.deploy_v1.types.Target | A Target resource in the Google Cloud Deploy API. A Target defines a location to which a Skaffold configuration can be deployed. |
job_run_path
job_run_path(
project: str,
location: str,
delivery_pipeline: str,
release: str,
rollout: str,
job_run: str,
)
Returns a fully-qualified job_run string.
list_delivery_pipelines
list_delivery_pipelines(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.ListDeliveryPipelinesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists DeliveryPipelines in a given project and location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_list_delivery_pipelines():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.ListDeliveryPipelinesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_delivery_pipelines(request=request)
# Handle the response
for response in page_result:
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.ListDeliveryPipelinesRequest, dict]
The request object. The request object for |
parent |
str
Required. The parent, which owns this collection of pipelines. Format must be projects/{project_id}/locations/{location_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. |
Type | Description |
google.cloud.deploy_v1.services.cloud_deploy.pagers.ListDeliveryPipelinesPager | The response object from ListDeliveryPipelines. Iterating over this object will yield results and resolve additional pages automatically. |
list_job_runs
list_job_runs(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.ListJobRunsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists JobRuns in a given project and location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_list_job_runs():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.ListJobRunsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_job_runs(request=request)
# Handle the response
for response in page_result:
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.ListJobRunsRequest, dict]
The request object. ListJobRunsRequest is the request object used by |
parent |
str
Required. 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. |
Type | Description |
google.cloud.deploy_v1.services.cloud_deploy.pagers.ListJobRunsPager | ListJobRunsResponse is the response object returned by ListJobRuns. Iterating over this object will yield results and resolve additional pages automatically. |
list_locations
list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists information about the supported locations for this service.
Name | Description |
request |
`.location_pb2.ListLocationsRequest`
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. |
Type | Description |
`.location_pb2.ListLocationsResponse` | Response message for ``ListLocations`` method. |
list_operations
list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists operations that match the specified filter in the request.
Name | Description |
request |
`.operations_pb2.ListOperationsRequest`
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. |
Type | Description |
`.operations_pb2.ListOperationsResponse` | Response message for ``ListOperations`` method. |
list_releases
list_releases(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.ListReleasesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists Releases in a given project and location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_list_releases():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.ListReleasesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_releases(request=request)
# Handle the response
for response in page_result:
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.ListReleasesRequest, dict]
The request object. The request object for |
parent |
str
Required. 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. |
Type | Description |
google.cloud.deploy_v1.services.cloud_deploy.pagers.ListReleasesPager | The response object from ListReleases. Iterating over this object will yield results and resolve additional pages automatically. |
list_rollouts
list_rollouts(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.ListRolloutsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists Rollouts in a given project and location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_list_rollouts():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.ListRolloutsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_rollouts(request=request)
# Handle the response
for response in page_result:
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.ListRolloutsRequest, dict]
The request object. ListRolloutsRequest is the request object used by |
parent |
str
Required. 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. |
Type | Description |
google.cloud.deploy_v1.services.cloud_deploy.pagers.ListRolloutsPager | ListRolloutsResponse is the response object reutrned by ListRollouts. Iterating over this object will yield results and resolve additional pages automatically. |
list_targets
list_targets(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.ListTargetsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists Targets in a given project and location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import deploy_v1
def sample_list_targets():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.ListTargetsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_targets(request=request)
# Handle the response
for response in page_result:
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.ListTargetsRequest, dict]
The request object. The request object for |
parent |
str
Required. The parent, which owns this collection of targets. Format must be projects/{project_id}/locations/{location_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. |
Type | Description |
google.cloud.deploy_v1.services.cloud_deploy.pagers.ListTargetsPager | The response object from ListTargets. Iterating over this object will yield results and resolve additional pages automatically. |
membership_path
membership_path(project: str, location: str, membership: str)
Returns a fully-qualified membership string.
parse_build_path
parse_build_path(path: str)
Parses a build path into its component segments.
parse_cluster_path
parse_cluster_path(path: str)
Parses a cluster path into its component segments.
parse_common_billing_account_path
parse_common_billing_account_path(path: str)
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str)
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str)
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str)
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str)
Parse a project path into its component segments.
parse_config_path
parse_config_path(path: str)
Parses a config path into its component segments.
parse_delivery_pipeline_path
parse_delivery_pipeline_path(path: str)
Parses a delivery_pipeline path into its component segments.
parse_job_run_path
parse_job_run_path(path: str)
Parses a job_run path into its component segments.
parse_membership_path
parse_membership_path(path: str)
Parses a membership path into its component segments.
parse_release_path
parse_release_path(path: str)
Parses a release path into its component segments.
parse_rollout_path
parse_rollout_path(path: str)
Parses a rollout path into its component segments.
parse_target_path
parse_target_path(path: str)
Parses a target path into its component segments.
parse_worker_pool_path
parse_worker_pool_path(path: str)
Parses a worker_pool path into its component segments.
release_path
release_path(project: str, location: str, delivery_pipeline: str, release: str)
Returns a fully-qualified release string.
retry_job
retry_job(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.RetryJobRequest, dict]] = None, *, rollout: Optional[str] = None, phase_id: Optional[str] = None, job_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Retries the specified Job in a Rollout.
# 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 deploy_v1
def sample_retry_job():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.RetryJobRequest(
rollout="rollout_value",
phase_id="phase_id_value",
job_id="job_id_value",
)
# Make the request
response = client.retry_job(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.RetryJobRequest, dict]
The request object. RetryJobRequest is the request object used by |
rollout |
str
Required. Name of the Rollout. Format is projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/ releases/{release}/rollouts/{rollout}. This corresponds to the |
phase_id |
str
Required. The phase ID the Job to retry belongs to. This corresponds to the |
job_id |
str
Required. The job ID for the Job to retry. 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. |
Type | Description |
google.cloud.deploy_v1.types.RetryJobResponse | The response object from 'RetryJob'. |
rollout_path
rollout_path(
project: str, location: str, delivery_pipeline: str, release: str, rollout: str
)
Returns a fully-qualified rollout string.
set_iam_policy
set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Sets the IAM access control policy on the specified function.
Replaces any existing policy.
Name | Description |
request |
`.iam_policy_pb2.SetIamPolicyRequest`
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. |
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=""> |
target_path
target_path(project: str, location: str, target: str)
Returns a fully-qualified target string.
test_iam_permissions
test_iam_permissions(request: Optional[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
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.
Name | Description |
request |
`.iam_policy_pb2.TestIamPermissionsRequest`
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. |
Type | Description |
`.iam_policy_pb2.TestIamPermissionsResponse` | Response message for ``TestIamPermissions`` method. |
update_delivery_pipeline
update_delivery_pipeline(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.UpdateDeliveryPipelineRequest, dict]] = None, *, delivery_pipeline: Optional[google.cloud.deploy_v1.types.cloud_deploy.DeliveryPipeline] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates the parameters of a single DeliveryPipeline.
# 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 deploy_v1
def sample_update_delivery_pipeline():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.UpdateDeliveryPipelineRequest(
)
# Make the request
operation = client.update_delivery_pipeline(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.UpdateDeliveryPipelineRequest, dict]
The request object. The request object for |
delivery_pipeline |
google.cloud.deploy_v1.types.DeliveryPipeline
Required. The |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
Required. Field mask is used to specify the fields to be overwritten in 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. |
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be DeliveryPipeline A DeliveryPipeline resource in the Google Cloud Deploy API. A DeliveryPipeline defines a pipeline through which a Skaffold configuration can progress. |
update_target
update_target(request: Optional[Union[google.cloud.deploy_v1.types.cloud_deploy.UpdateTargetRequest, dict]] = None, *, target: Optional[google.cloud.deploy_v1.types.cloud_deploy.Target] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates the parameters of a single Target.
# 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 deploy_v1
def sample_update_target():
# Create a client
client = deploy_v1.CloudDeployClient()
# Initialize request argument(s)
request = deploy_v1.UpdateTargetRequest(
)
# Make the request
operation = client.update_target(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.deploy_v1.types.UpdateTargetRequest, dict]
The request object. The request object for |
target |
google.cloud.deploy_v1.types.Target
Required. The |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
Required. Field mask is used to specify the fields to be overwritten in the Target resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten. 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. |
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Target A Target resource in the Google Cloud Deploy API. A Target defines a location to which a Skaffold configuration can be deployed. |
worker_pool_path
worker_pool_path(project: str, location: str, worker_pool: str)
Returns a fully-qualified worker_pool string.