Class CloudDeployClient (1.18.0)

Version 1.18.0

• 2.4.1 (latest)
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• 2.3.0
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• 2.1.0
• 2.0.0
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• 1.18.1
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• 1.10.1
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• 1.6.1
• 1.5.0
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• 1.3.1
• 1.2.1
• 1.1.1
• 1.0.0
• 0.3.2
• 0.2.0
• 0.1.1

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]] = 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]] = 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	Union[str, CloudDeployTransport] The transport to use. If set to None, a transport is chosen automatically.
client_options	Optional[Union[google.api_core.client_options.ClientOptions, dict]] Custom options for the client. 1. The 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.

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

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
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_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
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

delete_operation

delete_operation(
    request: 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
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

delivery_pipeline_path

delivery_pipeline_path(project: str, location: str, delivery_pipeline: str) -> 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:[e-mail]", "group:[e-mail]", "domain:google.com", "serviceAccount:[e-mail]" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:[e-mail]"], "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:[e-mail]="" -="" group:[e-mail]="" -="" domain:google.com="" -="" serviceaccount:[e-mail]="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:[e-mail]="" 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
.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:[e-mail]", "group:[e-mail]", "domain:google.com", "serviceAccount:[e-mail]" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:[e-mail]"], "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:[e-mail]="" -="" group:[e-mail]="" -="" domain:google.com="" -="" serviceaccount:[e-mail]="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:[e-mail]="" role:="" roles/resourcemanager.organizationviewer="" condition:="" title:="" expirable="" access="" description:="" does="" not="" grant="" access="" after="" sep="" 2020="" expression:="" request.time="">< timestamp('2020-10-01t00:00:00.000z')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="">IAM developer's guide __.

target_path

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

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.