Class WorkflowTemplateServiceAsyncClient (5.2.0)

WorkflowTemplateServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dataproc_v1.services.workflow_template_service.transports.base.WorkflowTemplateServiceTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

The API interface for managing Workflow Templates in the Dataproc API.

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
`WorkflowTemplateServiceTransport`	The transport used by the client instance.

Methods

WorkflowTemplateServiceAsyncClient

WorkflowTemplateServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dataproc_v1.services.workflow_template_service.transports.base.WorkflowTemplateServiceTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the workflow template service 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, .WorkflowTemplateServiceTransport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS 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.

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

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_workflow_template

create_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.CreateWorkflowTemplateRequest, dict]] = None, *, parent: Optional[str] = None, template: Optional[google.cloud.dataproc_v1.types.workflow_templates.WorkflowTemplate] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Creates new workflow template.

# 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 dataproc_v1

async def sample_create_workflow_template():
    # Create a client
    client = dataproc_v1.WorkflowTemplateServiceAsyncClient()

    # Initialize request argument(s)
    template = dataproc_v1.WorkflowTemplate()
    template.id = "id_value"
    template.placement.managed_cluster.cluster_name = "cluster_name_value"
    template.jobs.hadoop_job.main_jar_file_uri = "main_jar_file_uri_value"
    template.jobs.step_id = "step_id_value"

    request = dataproc_v1.CreateWorkflowTemplateRequest(
        parent="parent_value",
        template=template,
    )

    # Make the request
    response = await client.create_workflow_template(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dataproc_v1.types.CreateWorkflowTemplateRequest, dict]]` The request object. A request to create a workflow template.
`parent`	`str` Required. The resource name of the region or location, as described in https://cloud.google.com/apis/design/resource_names. - For `projects.regions.workflowTemplates.create`, the resource name of the region has the following format: `projects/{project_id}/regions/{region}` - For `projects.locations.workflowTemplates.create`, the resource name of the location has the following format: `projects/{project_id}/locations/{location}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`template`	`WorkflowTemplate` Required. The Dataproc workflow template to create. This corresponds to the `template` 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.dataproc_v1.types.WorkflowTemplate`	A Dataproc workflow template resource.

delete_workflow_template

delete_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.DeleteWorkflowTemplateRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Deletes a workflow template. It does not cancel in-progress workflows.

# 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 dataproc_v1

async def sample_delete_workflow_template():
    # Create a client
    client = dataproc_v1.WorkflowTemplateServiceAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.DeleteWorkflowTemplateRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_workflow_template(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dataproc_v1.types.DeleteWorkflowTemplateRequest, dict]]` The request object. A request to delete a workflow template. Currently started workflows will remain running.
`name`	`str` Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. - For `projects.regions.workflowTemplates.delete`, the resource name of the template has the following format: `projects/{project_id}/regions/{region}/workflowTemplates/{template_id}` - For `projects.locations.workflowTemplates.instantiate`, the resource name of the template has the following format: `projects/{project_id}/locations/{location}/workflowTemplates/{template_id}` 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.

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
`WorkflowTemplateServiceAsyncClient`	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
`WorkflowTemplateServiceAsyncClient`	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
`WorkflowTemplateServiceAsyncClient`	The constructed client.

get_mtls_endpoint_and_cert_source

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

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

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

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment 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_transport_class

get_transport_class()

Returns an appropriate transport class.

get_workflow_template

get_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.GetWorkflowTemplateRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Retrieves the latest workflow template. Can retrieve previously instantiated template by specifying optional version parameter.

# 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 dataproc_v1

async def sample_get_workflow_template():
    # Create a client
    client = dataproc_v1.WorkflowTemplateServiceAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.GetWorkflowTemplateRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_workflow_template(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dataproc_v1.types.GetWorkflowTemplateRequest, dict]]` The request object. A request to fetch a workflow template.
`name`	`str` Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. - For `projects.regions.workflowTemplates.get`, the resource name of the template has the following format: `projects/{project_id}/regions/{region}/workflowTemplates/{template_id}` - For `projects.locations.workflowTemplates.get`, the resource name of the template has the following format: `projects/{project_id}/locations/{location}/workflowTemplates/{template_id}` 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.dataproc_v1.types.WorkflowTemplate`	A Dataproc workflow template resource.

instantiate_inline_workflow_template

instantiate_inline_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.InstantiateInlineWorkflowTemplateRequest, dict]] = None, *, parent: Optional[str] = None, template: Optional[google.cloud.dataproc_v1.types.workflow_templates.WorkflowTemplate] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Instantiates a template and begins execution.

This method is equivalent to executing the sequence xref_CreateWorkflowTemplate, xref_InstantiateWorkflowTemplate, xref_DeleteWorkflowTemplate.

The returned Operation can be used to track execution of workflow by polling operations.get][google.longrunning.Operations.GetOperation]. The Operation will complete when entire workflow is finished.

The running workflow can be aborted via operations.cancel][google.longrunning.Operations.CancelOperation]. This will cause any inflight jobs to be cancelled and workflow-owned clusters to be deleted.

The Operation.metadata][google.longrunning.Operation.metadata] will be WorkflowMetadata <https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#workflowmetadata>. Also see Using WorkflowMetadata <https://cloud.google.com/dataproc/docs/concepts/workflows/debugging#using_workflowmetadata>.

On successful completion, Operation.response][google.longrunning.Operation.response] will be Empty][google.protobuf.Empty].

# 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 dataproc_v1

async def sample_instantiate_inline_workflow_template():
    # Create a client
    client = dataproc_v1.WorkflowTemplateServiceAsyncClient()

    # Initialize request argument(s)
    template = dataproc_v1.WorkflowTemplate()
    template.id = "id_value"
    template.placement.managed_cluster.cluster_name = "cluster_name_value"
    template.jobs.hadoop_job.main_jar_file_uri = "main_jar_file_uri_value"
    template.jobs.step_id = "step_id_value"

    request = dataproc_v1.InstantiateInlineWorkflowTemplateRequest(
        parent="parent_value",
        template=template,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dataproc_v1.types.InstantiateInlineWorkflowTemplateRequest, dict]]` The request object. A request to instantiate an inline workflow template.
`parent`	`str` Required. The resource name of the region or location, as described in https://cloud.google.com/apis/design/resource_names. - For `projects.regions.workflowTemplates,instantiateinline`, the resource name of the region has the following format: `projects/{project_id}/regions/{region}` - For `projects.locations.workflowTemplates.instantiateinline`, the resource name of the location has the following format: `projects/{project_id}/locations/{location}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`template`	`WorkflowTemplate` Required. The workflow template to instantiate. This corresponds to the `template` 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_async.AsyncOperation 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); }

instantiate_workflow_template

instantiate_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.InstantiateWorkflowTemplateRequest, dict]] = None, *, name: Optional[str] = None, parameters: Optional[MutableMapping[str, str]] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Instantiates a template and begins execution.

On successful completion, Operation.response][google.longrunning.Operation.response] will be Empty][google.protobuf.Empty].

# 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 dataproc_v1

async def sample_instantiate_workflow_template():
    # Create a client
    client = dataproc_v1.WorkflowTemplateServiceAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.InstantiateWorkflowTemplateRequest(
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dataproc_v1.types.InstantiateWorkflowTemplateRequest, dict]]` The request object. A request to instantiate a workflow template.
`name`	`str` Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. - For `projects.regions.workflowTemplates.instantiate`, the resource name of the template has the following format: `projects/{project_id}/regions/{region}/workflowTemplates/{template_id}` - For `projects.locations.workflowTemplates.instantiate`, the resource name of the template has the following format: `projects/{project_id}/locations/{location}/workflowTemplates/{template_id}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`parameters`	`:class:MutableMapping[str, str]` Optional. Map from parameter names to values that should be used for those parameters. Values may not exceed 1000 characters. This corresponds to the `parameters` 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

list_workflow_templates

list_workflow_templates(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Lists workflows that match the specified filter in the request.

# 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 dataproc_v1

async def sample_list_workflow_templates():
    # Create a client
    client = dataproc_v1.WorkflowTemplateServiceAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.ListWorkflowTemplatesRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dataproc_v1.types.ListWorkflowTemplatesRequest, dict]]` The request object. A request to list workflow templates in a project.
`parent`	`str` Required. The resource name of the region or location, as described in https://cloud.google.com/apis/design/resource_names. - For `projects.regions.workflowTemplates,list`, the resource name of the region has the following format: `projects/{project_id}/regions/{region}` - For `projects.locations.workflowTemplates.list`, the resource name of the location has the following format: `projects/{project_id}/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
Type	Description
`google.cloud.dataproc_v1.services.workflow_template_service.pagers.ListWorkflowTemplatesAsyncPager`	A response to a request to list workflow templates in a project. Iterating over this object will yield results and resolve additional pages automatically.

node_group_path

node_group_path(project: str, region: str, cluster: str, node_group: str)

Returns a fully-qualified node_group string.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_node_group_path

parse_node_group_path(path: str)

Parses a node_group path into its component segments.

parse_service_path

parse_service_path(path: str)

Parses a service path into its component segments.

parse_workflow_template_path

parse_workflow_template_path(path: str)

Parses a workflow_template path into its component segments.

service_path

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

Returns a fully-qualified service string.

update_workflow_template

update_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.UpdateWorkflowTemplateRequest, dict]] = None, *, template: Optional[google.cloud.dataproc_v1.types.workflow_templates.WorkflowTemplate] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Updates (replaces) workflow template. The updated template must contain version that matches the current server version.

# 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 dataproc_v1

async def sample_update_workflow_template():
    # Create a client
    client = dataproc_v1.WorkflowTemplateServiceAsyncClient()

    # Initialize request argument(s)
    template = dataproc_v1.WorkflowTemplate()
    template.id = "id_value"
    template.placement.managed_cluster.cluster_name = "cluster_name_value"
    template.jobs.hadoop_job.main_jar_file_uri = "main_jar_file_uri_value"
    template.jobs.step_id = "step_id_value"

    request = dataproc_v1.UpdateWorkflowTemplateRequest(
        template=template,
    )

    # Make the request
    response = await client.update_workflow_template(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dataproc_v1.types.UpdateWorkflowTemplateRequest, dict]]` The request object. A request to update a workflow template.
`template`	`WorkflowTemplate` Required. The updated workflow template. The `template.version` field must match the current version. This corresponds to the `template` 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.dataproc_v1.types.WorkflowTemplate`	A Dataproc workflow template resource.

workflow_template_path

workflow_template_path(project: str, region: str, workflow_template: str)

Returns a fully-qualified workflow_template string.