airflow.providers.google.cloud.operators.workflows

Module Contents

class airflow.providers.google.cloud.operators.workflows.WorkflowsCreateWorkflowOperator(*, workflow: Dict, workflow_id: str, location: str, project_id: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, gcp_conn_id: str = 'google_cloud_default', force_rerun: bool = False, impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.models.BaseOperator

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.

See also

For more information on how to use this operator, take a look at the guide: Create workflow

Parameters

  • workflow (Dict) -- Required. Workflow to be created.

  • workflow_id (str) -- Required. The ID of the workflow to be created.

  • project_id (str) -- Required. The ID of the Google Cloud project the cluster belongs to.

  • location (str) -- Required. The GCP region in which to handle the request.

  • retry (google.api_core.retry.Retry) -- A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float) -- The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

template_fields = ['location', 'workflow', 'workflow_id'][source]
template_fields_renderers[source]
execute(self, context)[source]
class airflow.providers.google.cloud.operators.workflows.WorkflowsUpdateWorkflowOperator(*, workflow_id: str, location: str, project_id: Optional[str] = None, update_mask: Optional[FieldMask] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.models.BaseOperator

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.

See also

For more information on how to use this operator, take a look at the guide: Update workflow

Parameters

  • workflow_id (str) -- Required. The ID of the workflow to be updated.

  • location (str) -- Required. The GCP region in which to handle the request.

  • project_id (str) -- Required. The ID of the Google Cloud project the cluster belongs to.

  • update_mask (FieldMask) -- List of fields to be updated. If not present, the entire workflow will be updated.

  • retry (google.api_core.retry.Retry) -- A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float) -- The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

template_fields = ['workflow_id', 'update_mask'][source]
template_fields_renderers[source]
execute(self, context)[source]
class airflow.providers.google.cloud.operators.workflows.WorkflowsDeleteWorkflowOperator(*, workflow_id: str, location: str, project_id: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.models.BaseOperator

Deletes a workflow with the specified name. This method also cancels and deletes all running executions of the workflow.

See also

For more information on how to use this operator, take a look at the guide: Delete workflow

Parameters

  • workflow_id (str) -- Required. The ID of the workflow to be created.

  • project_id (str) -- Required. The ID of the Google Cloud project the cluster belongs to.

  • location (str) -- Required. The GCP region in which to handle the request.

  • retry (google.api_core.retry.Retry) -- A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float) -- The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

template_fields = ['location', 'workflow_id'][source]
execute(self, context)[source]
class airflow.providers.google.cloud.operators.workflows.WorkflowsListWorkflowsOperator(*, location: str, project_id: Optional[str] = None, filter_: Optional[str] = None, order_by: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.models.BaseOperator

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

See also

For more information on how to use this operator, take a look at the guide: List workflows

Parameters

  • filter (str) -- Filter to restrict results to specific workflows.

  • order_by (str) -- Comma-separated list of fields that that specify the order of the results. Default sorting order for a field is ascending. To specify descending order for a field, append a "desc" suffix. If not specified, the results will be returned in an unspecified order.

  • project_id (str) -- Required. The ID of the Google Cloud project the cluster belongs to.

  • location (str) -- Required. The GCP region in which to handle the request.

  • retry (google.api_core.retry.Retry) -- A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float) -- The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

template_fields = ['location', 'order_by', 'filter_'][source]
execute(self, context)[source]
class airflow.providers.google.cloud.operators.workflows.WorkflowsGetWorkflowOperator(*, workflow_id: str, location: str, project_id: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.models.BaseOperator

Gets details of a single Workflow.

See also

For more information on how to use this operator, take a look at the guide: Get workflow

Parameters

  • workflow_id (str) -- Required. The ID of the workflow to be created.

  • project_id (str) -- Required. The ID of the Google Cloud project the cluster belongs to.

  • location (str) -- Required. The GCP region in which to handle the request.

  • retry (google.api_core.retry.Retry) -- A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float) -- The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

template_fields = ['location', 'workflow_id'][source]
execute(self, context)[source]
class airflow.providers.google.cloud.operators.workflows.WorkflowsCreateExecutionOperator(*, workflow_id: str, execution: Dict, location: str, project_id: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.models.BaseOperator

Creates a new execution using the latest revision of the given workflow.

See also

For more information on how to use this operator, take a look at the guide: Create execution

Parameters

  • execution (Dict) -- Required. Execution to be created.

  • workflow_id (str) -- Required. The ID of the workflow.

  • project_id (str) -- Required. The ID of the Google Cloud project the cluster belongs to.

  • location (str) -- Required. The GCP region in which to handle the request.

  • retry (google.api_core.retry.Retry) -- A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float) -- The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

template_fields = ['location', 'workflow_id', 'execution'][source]
template_fields_renderers[source]
execute(self, context)[source]
class airflow.providers.google.cloud.operators.workflows.WorkflowsCancelExecutionOperator(*, workflow_id: str, execution_id: str, location: str, project_id: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.models.BaseOperator

Cancels an execution using the given workflow_id and execution_id.

See also

For more information on how to use this operator, take a look at the guide: Cancel execution

Parameters

  • workflow_id (str) -- Required. The ID of the workflow.

  • execution_id (str) -- Required. The ID of the execution.

  • project_id (str) -- Required. The ID of the Google Cloud project the cluster belongs to.

  • location (str) -- Required. The GCP region in which to handle the request.

  • retry (google.api_core.retry.Retry) -- A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float) -- The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

template_fields = ['location', 'workflow_id', 'execution_id'][source]
execute(self, context)[source]
class airflow.providers.google.cloud.operators.workflows.WorkflowsListExecutionsOperator(*, workflow_id: str, location: str, start_date_filter: Optional[datetime] = None, project_id: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.models.BaseOperator

Returns a list of executions which belong to the workflow with the given name. The method returns executions of all workflow revisions. Returned executions are ordered by their start time (newest first).

See also

For more information on how to use this operator, take a look at the guide: List executions

Parameters

  • workflow_id (str) -- Required. The ID of the workflow to be created.

  • start_date_filter (datetime) -- If passed only executions older that this date will be returned. By default operators return executions from last 60 minutes

  • project_id (str) -- Required. The ID of the Google Cloud project the cluster belongs to.

  • location (str) -- Required. The GCP region in which to handle the request.

  • retry (google.api_core.retry.Retry) -- A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float) -- The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

template_fields = ['location', 'workflow_id'][source]
execute(self, context)[source]
class airflow.providers.google.cloud.operators.workflows.WorkflowsGetExecutionOperator(*, workflow_id: str, execution_id: str, location: str, project_id: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.models.BaseOperator

Returns an execution for the given workflow_id and execution_id.

See also

For more information on how to use this operator, take a look at the guide: Get execution

Parameters

  • workflow_id (str) -- Required. The ID of the workflow.

  • execution_id (str) -- Required. The ID of the execution.

  • project_id (str) -- Required. The ID of the Google Cloud project the cluster belongs to.

  • location (str) -- Required. The GCP region in which to handle the request.

  • retry (google.api_core.retry.Retry) -- A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float) -- The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

template_fields = ['location', 'workflow_id', 'execution_id'][source]
execute(self, context)[source]

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