Class WorkflowsClient (1.14.2)

WorkflowsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.workflows_v1beta.services.workflows.transports.base.WorkflowsTransport]] = 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>)

Workflows is used to deploy and execute workflow programs. Workflows makes sure the program executes reliably, despite hardware and networking interruptions.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
TypeDescription
strThe API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
TypeDescription
WorkflowsTransportThe transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
TypeDescription
strThe universe domain used by the client instance.

Methods

WorkflowsClient

WorkflowsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.workflows_v1beta.services.workflows.transports.base.WorkflowsTransport]] = 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 workflows client.

Parameters
NameDescription
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, WorkflowsTransport]

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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

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

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_workflow

create_workflow(
    request: typing.Optional[
        typing.Union[
            google.cloud.workflows_v1beta.types.workflows.CreateWorkflowRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    workflow: typing.Optional[
        google.cloud.workflows_v1beta.types.workflows.Workflow
    ] = None,
    workflow_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 workflow. If a workflow with the specified name already exists in the specified project and location, the long running operation will return ALREADY_EXISTS][google.rpc.Code.ALREADY_EXISTS] 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 workflows_v1beta

def sample_create_workflow():
    # Create a client
    client = workflows_v1beta.WorkflowsClient()

    # Initialize request argument(s)
    workflow = workflows_v1beta.Workflow()
    workflow.source_contents = "source_contents_value"

    request = workflows_v1beta.CreateWorkflowRequest(
        parent="parent_value",
        workflow=workflow,
        workflow_id="workflow_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.workflows_v1beta.types.CreateWorkflowRequest, dict]

The request object. Request for the CreateWorkflow method.

parent str

Required. Project and location in which the workflow should be created. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.

workflow google.cloud.workflows_v1beta.types.Workflow

Required. Workflow to be created. This corresponds to the workflow field on the request instance; if request is provided, this should not be set.

workflow_id str

Required. The ID of the workflow to be created. It has to fulfill the following requirements: - Must contain only letters, numbers, underscores and hyphens. - Must start with a letter. - Must be between 1-64 characters. - Must end with a number or a letter. - Must be unique within the customer project and location. This corresponds to the workflow_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
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be Workflow Workflow program to be executed by Workflows.

delete_workflow

delete_workflow(
    request: typing.Optional[
        typing.Union[
            google.cloud.workflows_v1beta.types.workflows.DeleteWorkflowRequest, 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 workflow with the specified name. This method also cancels and deletes all running executions of the workflow.

# 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 workflows_v1beta

def sample_delete_workflow():
    # Create a client
    client = workflows_v1beta.WorkflowsClient()

    # Initialize request argument(s)
    request = workflows_v1beta.DeleteWorkflowRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.workflows_v1beta.types.DeleteWorkflowRequest, dict]

The request object. Request for the DeleteWorkflow method.

name str

Required. Name of the workflow to be deleted. Format: projects/{project}/locations/{location}/workflows/{workflow} 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
TypeDescription
google.api_core.operation.OperationAn 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); }

from_service_account_file

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

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

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
WorkflowsClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
WorkflowsClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
WorkflowsClientThe constructed client.

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
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_workflow

get_workflow(
    request: typing.Optional[
        typing.Union[
            google.cloud.workflows_v1beta.types.workflows.GetWorkflowRequest, 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.workflows_v1beta.types.workflows.Workflow

Gets details of a single Workflow.

# 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 workflows_v1beta

def sample_get_workflow():
    # Create a client
    client = workflows_v1beta.WorkflowsClient()

    # Initialize request argument(s)
    request = workflows_v1beta.GetWorkflowRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.workflows_v1beta.types.GetWorkflowRequest, dict]

The request object. Request for the GetWorkflow method.

name str

Required. Name of the workflow which information should be retrieved. Format: projects/{project}/locations/{location}/workflows/{workflow} 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
TypeDescription
google.cloud.workflows_v1beta.types.WorkflowWorkflow program to be executed by Workflows.

list_workflows

list_workflows(
    request: typing.Optional[
        typing.Union[
            google.cloud.workflows_v1beta.types.workflows.ListWorkflowsRequest, 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.workflows_v1beta.services.workflows.pagers.ListWorkflowsPager

Lists Workflows in a given project and location. The default order is not specified.

# 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 workflows_v1beta

def sample_list_workflows():
    # Create a client
    client = workflows_v1beta.WorkflowsClient()

    # Initialize request argument(s)
    request = workflows_v1beta.ListWorkflowsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.workflows_v1beta.types.ListWorkflowsRequest, dict]

The request object. Request for the ListWorkflows method.

parent str

Required. Project and location from which the workflows should be listed. Format: projects/{project}/locations/{location} 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
TypeDescription
google.cloud.workflows_v1beta.services.workflows.pagers.ListWorkflowsPagerResponse for the ListWorkflows method. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

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

Parse a billing_account path into its component segments.

parse_common_folder_path

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

Parse a folder path into its component segments.

parse_common_location_path

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

Parse a location path into its component segments.

parse_common_organization_path

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

Parse a organization path into its component segments.

parse_common_project_path

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

Parse a project path into its component segments.

parse_workflow_path

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

Parses a workflow path into its component segments.

update_workflow

update_workflow(
    request: typing.Optional[
        typing.Union[
            google.cloud.workflows_v1beta.types.workflows.UpdateWorkflowRequest, dict
        ]
    ] = None,
    *,
    workflow: typing.Optional[
        google.cloud.workflows_v1beta.types.workflows.Workflow
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates an existing workflow. Running this method has no impact on already running executions of the workflow. A new revision of the workflow may be created as a result of a successful update operation. In that case, such revision will be used in new workflow executions.

# 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 workflows_v1beta

def sample_update_workflow():
    # Create a client
    client = workflows_v1beta.WorkflowsClient()

    # Initialize request argument(s)
    workflow = workflows_v1beta.Workflow()
    workflow.source_contents = "source_contents_value"

    request = workflows_v1beta.UpdateWorkflowRequest(
        workflow=workflow,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.workflows_v1beta.types.UpdateWorkflowRequest, dict]

The request object. Request for the UpdateWorkflow method.

workflow google.cloud.workflows_v1beta.types.Workflow

Required. Workflow to be updated. This corresponds to the workflow field on the request instance; if request is provided, this should not be set.

update_mask google.protobuf.field_mask_pb2.FieldMask

List of fields to be updated. If not present, the entire workflow will be updated. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be Workflow Workflow program to be executed by Workflows.

workflow_path

workflow_path(project: str, location: str, workflow: str) -> str

Returns a fully-qualified workflow string.