Class CloudDeployClient (1.18.1)

CloudDeployClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.deploy_v1.services.cloud_deploy.transports.base.CloudDeployTransport, typing.Callable[[...], google.cloud.deploy_v1.services.cloud_deploy.transports.base.CloudDeployTransport]]] = 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>)

CloudDeploy service creates and manages Continuous Delivery operations on Google Cloud Platform via Skaffold (https://skaffold.dev).

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
`CloudDeployTransport`	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

CloudDeployClient

CloudDeployClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.deploy_v1.services.cloud_deploy.transports.base.CloudDeployTransport, typing.Callable[[...], google.cloud.deploy_v1.services.cloud_deploy.transports.base.CloudDeployTransport]]] = 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 cloud deploy client.

Parameters
Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Optional[Union[str,CloudDeployTransport,Callable[..., CloudDeployTransport]]]` The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the CloudDeployTransport constructor. If set to None, a transport is chosen automatically.
`client_options`	`Optional[Union[google.api_core.client_options.ClientOptions, dict]]` Custom options for the client. 1. The `api_endpoint` property can be used to override the default endpoint provided by the client when `transport` is not explicitly provided. Only if this property is not set and `transport` was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The `universe_domain` property can be used to override the default "googleapis.com" universe. Note that the `api_endpoint` property still takes precedence; and `universe_domain` is currently not supported for mTLS.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

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

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

abandon_release

abandon_release(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.AbandonReleaseRequest, 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.deploy_v1.types.cloud_deploy.AbandonReleaseResponse

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.AbandonReleaseRequest, dict]` The request object. The request object used by `AbandonRelease`.
`name`	`str` Required. Name of the Release. Format is `projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/releases/{release}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.AbandonReleaseResponse`	The response object for AbandonRelease.

advance_rollout

advance_rollout(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.AdvanceRolloutRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    phase_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.cloud.deploy_v1.types.cloud_deploy.AdvanceRolloutResponse

Advances a 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_advance_rollout():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.AdvanceRolloutRequest(
        name="name_value",
        phase_id="phase_id_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.AdvanceRolloutRequest, dict]` The request object. The request object used by `AdvanceRollout`.
`name`	`str` Required. Name of the Rollout. Format is `projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/releases/{release}/rollouts/{rollout}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`phase_id`	`str` Required. The phase ID to advance the `Rollout` to. This corresponds to the `phase_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.AdvanceRolloutResponse`	The response object from AdvanceRollout.

approve_rollout

approve_rollout(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.ApproveRolloutRequest, 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.deploy_v1.types.cloud_deploy.ApproveRolloutResponse

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.ApproveRolloutRequest, dict]` The request object. The request object used by `ApproveRollout`.
`name`	`str` Required. Name of the Rollout. Format is `projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/releases/{release}/rollouts/{rollout}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.ApproveRolloutResponse`	The response object from ApproveRollout.

automation_path

automation_path(
    project: str, location: str, delivery_pipeline: str, automation: str
) -> str

Returns a fully-qualified automation string.

automation_run_path

automation_run_path(
    project: str, location: str, delivery_pipeline: str, automation_run: str
) -> str

Returns a fully-qualified automation_run string.

build_path

build_path(project: str, location: str, build: str) -> str

Returns a fully-qualified build string.

cancel_automation_run

cancel_automation_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.CancelAutomationRunRequest, 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.deploy_v1.types.cloud_deploy.CancelAutomationRunResponse

Cancels an AutomationRun. The state of the AutomationRun after cancelling is CANCELLED. CancelAutomationRun can be called on AutomationRun in the state IN_PROGRESS and PENDING; AutomationRun in a different state returns an FAILED_PRECONDITION error.

# 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_cancel_automation_run():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.CancelAutomationRunRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.CancelAutomationRunRequest, dict]` The request object. The request object used by `CancelAutomationRun`.
`name`	`str` Required. Name of the `AutomationRun`. Format is `projects/{project}/locations/{location}/deliveryPipelines/{delivery_pipeline}/automationRuns/{automation_run}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.CancelAutomationRunResponse`	The response object from CancelAutomationRun.

cancel_operation

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

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name	Description
`request`	`.operations_pb2.CancelOperationRequest` The request object. Request message for `CancelOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

cancel_rollout

cancel_rollout(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.CancelRolloutRequest, 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.deploy_v1.types.cloud_deploy.CancelRolloutResponse

Cancels a 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_cancel_rollout():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.CancelRolloutRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.CancelRolloutRequest, dict]` The request object. The request object used by `CancelRollout`.
`name`	`str` Required. Name of the Rollout. Format is `projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/releases/{release}/rollouts/{rollout}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.CancelRolloutResponse`	The response object from CancelRollout.

cluster_path

cluster_path(project: str, location: str, cluster: str) -> str

Returns a fully-qualified cluster string.

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.

config_path

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

Returns a fully-qualified config string.

create_automation

create_automation(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.CreateAutomationRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    automation: typing.Optional[
        google.cloud.deploy_v1.types.cloud_deploy.Automation
    ] = None,
    automation_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 Automation 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_automation():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    automation = deploy_v1.Automation()
    automation.service_account = "service_account_value"
    automation.rules.promote_release_rule.id = "id_value"

    request = deploy_v1.CreateAutomationRequest(
        parent="parent_value",
        automation_id="automation_id_value",
        automation=automation,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.CreateAutomationRequest, dict]` The request object. The request object for `CreateAutomation`.
`parent`	`str` Required. The parent collection in which the `Automation` should be created. Format should be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`automation`	`google.cloud.deploy_v1.types.Automation` Required. The `Automation` to create. This corresponds to the `automation` field on the `request` instance; if `request` is provided, this should not be set.
`automation_id`	`str` Required. ID of the `Automation`. This corresponds to the `automation_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Automation An Automation resource in the Cloud Deploy API. An Automation enables the automation of manually driven actions for a Delivery Pipeline, which includes Release promotion among Targets, Rollout repair and Rollout deployment strategy advancement. The intention of Automation is to reduce manual intervention in the continuous delivery process.

create_custom_target_type

create_custom_target_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.CreateCustomTargetTypeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    custom_target_type: typing.Optional[
        google.cloud.deploy_v1.types.cloud_deploy.CustomTargetType
    ] = None,
    custom_target_type_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 CustomTargetType 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_custom_target_type():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    custom_target_type = deploy_v1.CustomTargetType()
    custom_target_type.custom_actions.deploy_action = "deploy_action_value"

    request = deploy_v1.CreateCustomTargetTypeRequest(
        parent="parent_value",
        custom_target_type_id="custom_target_type_id_value",
        custom_target_type=custom_target_type,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.CreateCustomTargetTypeRequest, dict]` The request object. The request object for `CreateCustomTargetType`.
`parent`	`str` Required. The parent collection in which the `CustomTargetType` should be created. Format should be `projects/{project_id}/locations/{location_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`custom_target_type`	`google.cloud.deploy_v1.types.CustomTargetType` Required. The `CustomTargetType` to create. This corresponds to the `custom_target_type` field on the `request` instance; if `request` is provided, this should not be set.
`custom_target_type_id`	`str` Required. ID of the `CustomTargetType`. This corresponds to the `custom_target_type_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be CustomTargetType A CustomTargetType resource in the Cloud Deploy API. A CustomTargetType defines a type of custom target that can be referenced in a Target in order to facilitate deploying to other systems besides the supported runtimes.

create_delivery_pipeline

create_delivery_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.CreateDeliveryPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    delivery_pipeline: typing.Optional[
        google.cloud.deploy_v1.types.cloud_deploy.DeliveryPipeline
    ] = None,
    delivery_pipeline_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 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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.CreateDeliveryPipelineRequest, dict]` The request object. The request object for `CreateDeliveryPipeline`.
`parent`	`str` Required. The parent collection in which the `DeliveryPipeline` should be created. Format should be `projects/{project_id}/locations/{location_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`delivery_pipeline`	`google.cloud.deploy_v1.types.DeliveryPipeline` Required. The `DeliveryPipeline` to create. This corresponds to the `delivery_pipeline` field on the `request` instance; if `request` is provided, this should not be set.
`delivery_pipeline_id`	`str` Required. ID of the `DeliveryPipeline`. This corresponds to the `delivery_pipeline_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be DeliveryPipeline A DeliveryPipeline resource in the Cloud Deploy API. A DeliveryPipeline defines a pipeline through which a Skaffold configuration can progress.

create_release

create_release(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.CreateReleaseRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    release: typing.Optional[google.cloud.deploy_v1.types.cloud_deploy.Release] = None,
    release_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 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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.CreateReleaseRequest, dict]` The request object. The request object for `CreateRelease`,
`parent`	`str` Required. The parent collection in which the `Release` should be created. Format should be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`release`	`google.cloud.deploy_v1.types.Release` Required. The `Release` to create. This corresponds to the `release` field on the `request` instance; if `request` is provided, this should not be set.
`release_id`	`str` Required. ID of the `Release`. This corresponds to the `release_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be Release A Release resource in the Cloud Deploy API. A Release defines a specific Skaffold configuration instance that can be deployed.

create_rollout

create_rollout(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.CreateRolloutRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    rollout: typing.Optional[google.cloud.deploy_v1.types.cloud_deploy.Rollout] = None,
    rollout_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 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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.CreateRolloutRequest, dict]` The request object. CreateRolloutRequest is the request object used by `CreateRollout`.
`parent`	`str` Required. The parent collection in which the `Rollout` should be created. Format should be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}/releases/{release_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`rollout`	`google.cloud.deploy_v1.types.Rollout` Required. The `Rollout` to create. This corresponds to the `rollout` field on the `request` instance; if `request` is provided, this should not be set.
`rollout_id`	`str` Required. ID of the `Rollout`. This corresponds to the `rollout_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be Rollout A Rollout resource in the Cloud Deploy API. A Rollout contains information around a specific deployment to a Target.

create_target

create_target(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.CreateTargetRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    target: typing.Optional[google.cloud.deploy_v1.types.cloud_deploy.Target] = None,
    target_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 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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.CreateTargetRequest, dict]` The request object. The request object for `CreateTarget`.
`parent`	`str` Required. The parent collection in which the `Target` should be created. Format should be `projects/{project_id}/locations/{location_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`target`	`google.cloud.deploy_v1.types.Target` Required. The `Target` to create. This corresponds to the `target` field on the `request` instance; if `request` is provided, this should not be set.
`target_id`	`str` Required. ID of the `Target`. This corresponds to the `target_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be Target A Target resource in the Cloud Deploy API. A Target defines a location to which a Skaffold configuration can be deployed.

custom_target_type_path

custom_target_type_path(
    project: str, location: str, custom_target_type: str
) -> str

Returns a fully-qualified custom_target_type string.

delete_automation

delete_automation(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.DeleteAutomationRequest, 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 a single Automation resource.

# 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_automation():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.DeleteAutomationRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.DeleteAutomationRequest, dict]` The request object. The request object for `DeleteAutomation`.
`name`	`str` Required. The name of the `Automation` to delete. Format should be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}/automations/{automation_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be 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_custom_target_type

delete_custom_target_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.DeleteCustomTargetTypeRequest,
            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 a single CustomTargetType.

# 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_custom_target_type():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.DeleteCustomTargetTypeRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.DeleteCustomTargetTypeRequest, dict]` The request object. The request object for `DeleteCustomTargetType`.
`name`	`str` Required. The name of the `CustomTargetType` to delete. Format must be `projects/{project_id}/locations/{location_name}/customTargetTypes/{custom_target_type}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

delete_delivery_pipeline

delete_delivery_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.DeleteDeliveryPipelineRequest,
            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 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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.DeleteDeliveryPipelineRequest, dict]` The request object. The request object for `DeleteDeliveryPipeline`.
`name`	`str` Required. The name of the `DeliveryPipeline` to delete. Format should be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

delete_operation

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

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name	Description
`request`	`.operations_pb2.DeleteOperationRequest` The request object. Request message for `DeleteOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_target

delete_target(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.DeleteTargetRequest, 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 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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.DeleteTargetRequest, dict]` The request object. The request object for `DeleteTarget`.
`name`	`str` Required. The name of the `Target` to delete. Format should be `projects/{project_id}/locations/{location_name}/targets/{target_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

delivery_pipeline_path

delivery_pipeline_path(project: str, location: str, delivery_pipeline: str) -> 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.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
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.

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
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.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`CloudDeployClient`	The constructed client.

get_automation

get_automation(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.GetAutomationRequest, 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.deploy_v1.types.cloud_deploy.Automation

Gets details of a single Automation.

# 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_automation():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.GetAutomationRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.GetAutomationRequest, dict]` The request object. The request object for `GetAutomation`
`name`	`str` Required. Name of the `Automation`. Format must be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}/automations/{automation_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.Automation`	An Automation resource in the Cloud Deploy API. An Automation enables the automation of manually driven actions for a Delivery Pipeline, which includes Release promotion among Targets, Rollout repair and Rollout deployment strategy advancement. The intention of Automation is to reduce manual intervention in the continuous delivery process.

get_automation_run

get_automation_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.GetAutomationRunRequest, 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.deploy_v1.types.cloud_deploy.AutomationRun

Gets details of a single AutomationRun.

# 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_automation_run():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.GetAutomationRunRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.GetAutomationRunRequest, dict]` The request object. The request object for `GetAutomationRun`
`name`	`str` Required. Name of the `AutomationRun`. Format must be `projects/{project}/locations/{location}/deliveryPipelines/{delivery_pipeline}/automationRuns/{automation_run}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.AutomationRun`	An AutomationRun resource in the Cloud Deploy API. An AutomationRun represents an execution instance of an automation rule.

get_config

get_config(
    request: typing.Optional[
        typing.Union[google.cloud.deploy_v1.types.cloud_deploy.GetConfigRequest, 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.deploy_v1.types.cloud_deploy.Config

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)

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

Returns
Type	Description
`google.cloud.deploy_v1.types.Config`	Service-wide configuration.

get_custom_target_type

get_custom_target_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.GetCustomTargetTypeRequest, 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.deploy_v1.types.cloud_deploy.CustomTargetType

Gets details of a single CustomTargetType.

# 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_custom_target_type():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.GetCustomTargetTypeRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.GetCustomTargetTypeRequest, dict]` The request object. The request object for `GetCustomTargetType`.
`name`	`str` Required. Name of the `CustomTargetType`. Format must be `projects/{project_id}/locations/{location_name}/customTargetTypes/{custom_target_type}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.CustomTargetType`	A CustomTargetType resource in the Cloud Deploy API. A CustomTargetType defines a type of custom target that can be referenced in a Target in order to facilitate deploying to other systems besides the supported runtimes.

get_delivery_pipeline

get_delivery_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.GetDeliveryPipelineRequest, 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.deploy_v1.types.cloud_deploy.DeliveryPipeline

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.GetDeliveryPipelineRequest, dict]` The request object. The request object for `GetDeliveryPipeline`
`name`	`str` Required. Name of the `DeliveryPipeline`. Format must be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.DeliveryPipeline`	A DeliveryPipeline resource in the Cloud Deploy API. A DeliveryPipeline defines a pipeline through which a Skaffold configuration can progress.

get_iam_policy

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

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Parameters
Name	Description
`request`	`.iam_policy_pb2.GetIamPolicyRequest` The request object. Request message for `GetIamPolicy` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

.policy_pb2.Policy Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ]="" }="" **yaml="" example**="" ::="" bindings:="" -="" members:="" -="" user:mike@example.com="" -="" group:admins@example.com="" -="" domain:google.com="" -="" serviceaccount:my-project-id@appspot.gserviceaccount.com="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:eve@example.com="" role:="" roles/resourcemanager.organizationviewer="" condition:="" title:="" expirable="" access="" description:="" does="" not="" grant="" access="" after="" sep="" 2020="" expression:="" request.time="">< timestamp('2020-10-01t00:00:00.000z')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="">IAM developer's guide __.

get_job_run

get_job_run(
    request: typing.Optional[
        typing.Union[google.cloud.deploy_v1.types.cloud_deploy.GetJobRunRequest, 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.deploy_v1.types.cloud_deploy.JobRun

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.GetJobRunRequest, dict]` The request object. GetJobRunRequest is the request object used by `GetJobRun`.
`name`	`str` Required. Name of the `JobRun`. Format must be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}/releases/{release_name}/rollouts/{rollout_name}/jobRuns/{job_run_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.JobRun`	A JobRun resource in the Cloud Deploy API. A JobRun contains information of a single Rollout job evaluation.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = 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.location.locations_pb2.Location

Gets information about a location.

Parameters
Name	Description
`request`	`.location_pb2.GetLocationRequest` The request object. Request message for `GetLocation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.location_pb2.Location`	Location object.

get_mtls_endpoint_and_cert_source

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

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

get_operation

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

Gets the latest state of a long-running operation.

Parameters
Name	Description
`request`	`.operations_pb2.GetOperationRequest` The request object. Request message for `GetOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.Operation`	An `Operation` object.

get_release

get_release(
    request: typing.Optional[
        typing.Union[google.cloud.deploy_v1.types.cloud_deploy.GetReleaseRequest, 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.deploy_v1.types.cloud_deploy.Release

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.GetReleaseRequest, dict]` The request object. The request object for `GetRelease`.
`name`	`str` Required. Name of the `Release`. Format must be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}/releases/{release_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.Release`	A Release resource in the Cloud Deploy API. A Release defines a specific Skaffold configuration instance that can be deployed.

get_rollout

get_rollout(
    request: typing.Optional[
        typing.Union[google.cloud.deploy_v1.types.cloud_deploy.GetRolloutRequest, 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.deploy_v1.types.cloud_deploy.Rollout

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.GetRolloutRequest, dict]` The request object. GetRolloutRequest is the request object used by `GetRollout`.
`name`	`str` Required. Name of the `Rollout`. Format must be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}/releases/{release_name}/rollouts/{rollout_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.Rollout`	A Rollout resource in the Cloud Deploy API. A Rollout contains information around a specific deployment to a Target.

get_target

get_target(
    request: typing.Optional[
        typing.Union[google.cloud.deploy_v1.types.cloud_deploy.GetTargetRequest, 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.deploy_v1.types.cloud_deploy.Target

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.GetTargetRequest, dict]` The request object. The request object for `GetTarget`.
`name`	`str` Required. Name of the `Target`. Format must be `projects/{project_id}/locations/{location_name}/targets/{target_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.Target`	A Target resource in the Cloud Deploy API. A Target defines a location to which a Skaffold configuration can be deployed.

ignore_job

ignore_job(
    request: typing.Optional[
        typing.Union[google.cloud.deploy_v1.types.cloud_deploy.IgnoreJobRequest, dict]
    ] = None,
    *,
    rollout: typing.Optional[str] = None,
    phase_id: typing.Optional[str] = None,
    job_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.cloud.deploy_v1.types.cloud_deploy.IgnoreJobResponse

Ignores 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_ignore_job():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.IgnoreJobRequest(
        rollout="rollout_value",
        phase_id="phase_id_value",
        job_id="job_id_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.IgnoreJobRequest, dict]` The request object. The request object used by `IgnoreJob`.
`rollout`	`str` Required. Name of the Rollout. Format is `projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/releases/{release}/rollouts/{rollout}`. This corresponds to the `rollout` field on the `request` instance; if `request` is provided, this should not be set.
`phase_id`	`str` Required. The phase ID the Job to ignore belongs to. This corresponds to the `phase_id` field on the `request` instance; if `request` is provided, this should not be set.
`job_id`	`str` Required. The job ID for the Job to ignore. This corresponds to the `job_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.IgnoreJobResponse`	The response object from IgnoreJob.

job_path

job_path(project: str, location: str, job: str) -> str

Returns a fully-qualified job string.

job_run_path

job_run_path(
    project: str,
    location: str,
    delivery_pipeline: str,
    release: str,
    rollout: str,
    job_run: str,
) -> str

Returns a fully-qualified job_run string.

list_automation_runs

list_automation_runs(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.ListAutomationRunsRequest, 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.deploy_v1.services.cloud_deploy.pagers.ListAutomationRunsPager

Lists AutomationRuns 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_automation_runs():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.ListAutomationRunsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.ListAutomationRunsRequest, dict]` The request object. The request object for `ListAutomationRuns`.
`parent`	`str` Required. The parent `Delivery Pipeline`, which owns this collection of automationRuns. Format must be `projects/{project}/locations/{location}/deliveryPipelines/{delivery_pipeline}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.services.cloud_deploy.pagers.ListAutomationRunsPager`	The response object from ListAutomationRuns. Iterating over this object will yield results and resolve additional pages automatically.

list_automations

list_automations(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.ListAutomationsRequest, 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.deploy_v1.services.cloud_deploy.pagers.ListAutomationsPager

Lists Automations 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_automations():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.ListAutomationsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.ListAutomationsRequest, dict]` The request object. The request object for `ListAutomations`.
`parent`	`str` Required. The parent `Delivery Pipeline`, which owns this collection of automations. Format must be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.services.cloud_deploy.pagers.ListAutomationsPager`	The response object from ListAutomations. Iterating over this object will yield results and resolve additional pages automatically.

list_custom_target_types

list_custom_target_types(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.ListCustomTargetTypesRequest, 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.deploy_v1.services.cloud_deploy.pagers.ListCustomTargetTypesPager

Lists CustomTargetTypes 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_custom_target_types():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.ListCustomTargetTypesRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.ListCustomTargetTypesRequest, dict]` The request object. The request object for `ListCustomTargetTypes`.
`parent`	`str` Required. The parent that owns this collection of custom target types. Format must be `projects/{project_id}/locations/{location_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.services.cloud_deploy.pagers.ListCustomTargetTypesPager`	The response object from ListCustomTargetTypes. Iterating over this object will yield results and resolve additional pages automatically.

list_delivery_pipelines

list_delivery_pipelines(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.ListDeliveryPipelinesRequest, 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.deploy_v1.services.cloud_deploy.pagers.ListDeliveryPipelinesPager

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.ListDeliveryPipelinesRequest, dict]` The request object. The request object for `ListDeliveryPipelines`.
`parent`	`str` Required. The parent, which owns this collection of pipelines. Format must be `projects/{project_id}/locations/{location_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.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: typing.Optional[
        typing.Union[google.cloud.deploy_v1.types.cloud_deploy.ListJobRunsRequest, 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.deploy_v1.services.cloud_deploy.pagers.ListJobRunsPager

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.ListJobRunsRequest, dict]` The request object. ListJobRunsRequest is the request object used by `ListJobRuns`.
`parent`	`str` Required. The `Rollout` which owns this collection of `JobRun` objects. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.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: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = 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.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name	Description
`request`	`.location_pb2.ListLocationsRequest` The request object. Request message for `ListLocations` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.location_pb2.ListLocationsResponse`	Response message for `ListLocations` method.

list_operations

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

Lists operations that match the specified filter in the request.

Parameters
Name	Description
`request`	`.operations_pb2.ListOperationsRequest` The request object. Request message for `ListOperations` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.ListOperationsResponse`	Response message for `ListOperations` method.

list_releases

list_releases(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.ListReleasesRequest, 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.deploy_v1.services.cloud_deploy.pagers.ListReleasesPager

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.ListReleasesRequest, dict]` The request object. The request object for `ListReleases`.
`parent`	`str` Required. The `DeliveryPipeline` which owns this collection of `Release` objects. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.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: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.ListRolloutsRequest, 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.deploy_v1.services.cloud_deploy.pagers.ListRolloutsPager

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.ListRolloutsRequest, dict]` The request object. ListRolloutsRequest is the request object used by `ListRollouts`.
`parent`	`str` Required. The `Release` which owns this collection of `Rollout` objects. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.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: typing.Optional[
        typing.Union[google.cloud.deploy_v1.types.cloud_deploy.ListTargetsRequest, 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.deploy_v1.services.cloud_deploy.pagers.ListTargetsPager

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.ListTargetsRequest, dict]` The request object. The request object for `ListTargets`.
`parent`	`str` Required. The parent, which owns this collection of targets. Format must be `projects/{project_id}/locations/{location_name}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.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) -> str

Returns a fully-qualified membership string.

parse_automation_path

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

Parses a automation path into its component segments.

parse_automation_run_path

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

Parses a automation_run path into its component segments.

parse_build_path

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

Parses a build path into its component segments.

parse_cluster_path

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

Parses a cluster path into its component segments.

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_config_path

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

Parses a config path into its component segments.

parse_custom_target_type_path

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

Parses a custom_target_type path into its component segments.

parse_delivery_pipeline_path

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

Parses a delivery_pipeline path into its component segments.

parse_job_path

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

Parses a job path into its component segments.

parse_job_run_path

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

Parses a job_run path into its component segments.

parse_membership_path

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

Parses a membership path into its component segments.

parse_release_path

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

Parses a release path into its component segments.

parse_repository_path

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

Parses a repository path into its component segments.

parse_rollout_path

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

Parses a rollout path into its component segments.

parse_service_path

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

Parses a service path into its component segments.

parse_target_path

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

Parses a target path into its component segments.

parse_worker_pool_path

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

Parses a worker_pool path into its component segments.

release_path

release_path(
    project: str, location: str, delivery_pipeline: str, release: str
) -> str

Returns a fully-qualified release string.

repository_path

repository_path(
    project: str, location: str, connection: str, repository: str
) -> str

Returns a fully-qualified repository string.

retry_job

retry_job(
    request: typing.Optional[
        typing.Union[google.cloud.deploy_v1.types.cloud_deploy.RetryJobRequest, dict]
    ] = None,
    *,
    rollout: typing.Optional[str] = None,
    phase_id: typing.Optional[str] = None,
    job_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.cloud.deploy_v1.types.cloud_deploy.RetryJobResponse

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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.RetryJobRequest, dict]` The request object. RetryJobRequest is the request object used by `RetryJob`.
`rollout`	`str` Required. Name of the Rollout. Format is `projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/releases/{release}/rollouts/{rollout}`. This corresponds to the `rollout` field on the `request` instance; if `request` is provided, this should not be set.
`phase_id`	`str` Required. The phase ID the Job to retry belongs to. This corresponds to the `phase_id` field on the `request` instance; if `request` is provided, this should not be set.
`job_id`	`str` Required. The job ID for the Job to retry. This corresponds to the `job_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.RetryJobResponse`	The response object from 'RetryJob'.

rollback_target

rollback_target(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.RollbackTargetRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    target_id: typing.Optional[str] = None,
    rollout_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.cloud.deploy_v1.types.cloud_deploy.RollbackTargetResponse

Creates a Rollout to roll back the specified 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_rollback_target():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.RollbackTargetRequest(
        name="name_value",
        target_id="target_id_value",
        rollout_id="rollout_id_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.RollbackTargetRequest, dict]` The request object. The request object for `RollbackTarget`.
`name`	`str` Required. The `DeliveryPipeline` for which the rollback `Rollout` should be created. Format should be `projects/{project_id}/locations/{location_name}/deliveryPipelines/{pipeline_name}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`target_id`	`str` Required. ID of the `Target` that is being rolled back. This corresponds to the `target_id` field on the `request` instance; if `request` is provided, this should not be set.
`rollout_id`	`str` Required. ID of the rollback `Rollout` to create. This corresponds to the `rollout_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.RollbackTargetResponse`	The response object from RollbackTarget.

rollout_path

rollout_path(
    project: str, location: str, delivery_pipeline: str, release: str, rollout: str
) -> str

Returns a fully-qualified rollout string.

service_path

service_path(project: str, location: str, service: str) -> str

Returns a fully-qualified service string.

set_iam_policy

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

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters
Name	Description
`request`	`.iam_policy_pb2.SetIamPolicyRequest` The request object. Request message for `SetIamPolicy` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

target_path

target_path(project: str, location: str, target: str) -> str

Returns a fully-qualified target string.

terminate_job_run

terminate_job_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.TerminateJobRunRequest, 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.deploy_v1.types.cloud_deploy.TerminateJobRunResponse

Terminates a Job Run 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_terminate_job_run():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    request = deploy_v1.TerminateJobRunRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.TerminateJobRunRequest, dict]` The request object. The request object used by `TerminateJobRun`.
`name`	`str` Required. Name of the `JobRun`. Format must be `projects/{project}/locations/{location}/deliveryPipelines/{deliveryPipeline}/releases/{release}/rollouts/{rollout}/jobRuns/{jobRun}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.deploy_v1.types.TerminateJobRunResponse`	The response object from TerminateJobRun.

test_iam_permissions

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

Tests the specified IAM permissions against the IAM access control policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Parameters
Name	Description
`request`	`.iam_policy_pb2.TestIamPermissionsRequest` The request object. Request message for `TestIamPermissions` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.iam_policy_pb2.TestIamPermissionsResponse`	Response message for `TestIamPermissions` method.

update_automation

update_automation(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.UpdateAutomationRequest, dict
        ]
    ] = None,
    *,
    automation: typing.Optional[
        google.cloud.deploy_v1.types.cloud_deploy.Automation
    ] = 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 the parameters of a single Automation resource.

# 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_automation():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    automation = deploy_v1.Automation()
    automation.service_account = "service_account_value"
    automation.rules.promote_release_rule.id = "id_value"

    request = deploy_v1.UpdateAutomationRequest(
        automation=automation,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.UpdateAutomationRequest, dict]` The request object. The request object for `UpdateAutomation`.
`automation`	`google.cloud.deploy_v1.types.Automation` Required. The `Automation` to update. This corresponds to the `automation` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the `Automation` 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's in the mask. If the user doesn't provide a mask then all fields are overwritten. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

update_custom_target_type

update_custom_target_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.UpdateCustomTargetTypeRequest,
            dict,
        ]
    ] = None,
    *,
    custom_target_type: typing.Optional[
        google.cloud.deploy_v1.types.cloud_deploy.CustomTargetType
    ] = 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 a single CustomTargetType.

# 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_custom_target_type():
    # Create a client
    client = deploy_v1.CloudDeployClient()

    # Initialize request argument(s)
    custom_target_type = deploy_v1.CustomTargetType()
    custom_target_type.custom_actions.deploy_action = "deploy_action_value"

    request = deploy_v1.UpdateCustomTargetTypeRequest(
        custom_target_type=custom_target_type,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.UpdateCustomTargetTypeRequest, dict]` The request object. The request object for `UpdateCustomTargetType`.
`custom_target_type`	`google.cloud.deploy_v1.types.CustomTargetType` Required. The `CustomTargetType` to update. This corresponds to the `custom_target_type` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the `CustomTargetType` 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's in the mask. If the user doesn't provide a mask then all fields are overwritten. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be CustomTargetType A CustomTargetType resource in the Cloud Deploy API. A CustomTargetType defines a type of custom target that can be referenced in a Target in order to facilitate deploying to other systems besides the supported runtimes.

update_delivery_pipeline

update_delivery_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.UpdateDeliveryPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    delivery_pipeline: typing.Optional[
        google.cloud.deploy_v1.types.cloud_deploy.DeliveryPipeline
    ] = 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 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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.UpdateDeliveryPipelineRequest, dict]` The request object. The request object for `UpdateDeliveryPipeline`.
`delivery_pipeline`	`google.cloud.deploy_v1.types.DeliveryPipeline` Required. The `DeliveryPipeline` to update. This corresponds to the `delivery_pipeline` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the `DeliveryPipeline` 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's in the mask. If the user doesn't provide a mask then all fields are overwritten. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be DeliveryPipeline A DeliveryPipeline resource in the Cloud Deploy API. A DeliveryPipeline defines a pipeline through which a Skaffold configuration can progress.

update_target

update_target(
    request: typing.Optional[
        typing.Union[
            google.cloud.deploy_v1.types.cloud_deploy.UpdateTargetRequest, dict
        ]
    ] = None,
    *,
    target: typing.Optional[google.cloud.deploy_v1.types.cloud_deploy.Target] = 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 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)

Parameters
Name	Description
`request`	`Union[google.cloud.deploy_v1.types.UpdateTargetRequest, dict]` The request object. The request object for `UpdateTarget`.
`target`	`google.cloud.deploy_v1.types.Target` Required. The `Target` to update. This corresponds to the `target` field on the `request` instance; if `request` is provided, this should not be set.
`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's in the mask. If the user doesn't provide a mask then all fields are overwritten. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be Target A Target resource in the 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) -> str

Returns a fully-qualified worker_pool string.