def resume(workflow_id: str,
storage: "Optional[Union[str, Storage]]" = None) -> ray.ObjectRef:
"""Resume a workflow.
Resume a workflow and retrieve its output. If the workflow was incomplete,
it will be re-executed from its checkpointed outputs. If the workflow was
complete, returns the result immediately.
Examples:
>>> res1 = workflow.run(trip, workflow_id="trip1")
>>> res2 = workflow.resume("trip1")
>>> assert ray.get(res1) == ray.get(res2)
Args:
workflow_id: The id of the workflow to resume.
storage: The external storage URL or a custom storage class. If not
specified, ``/tmp/ray/workflow_data`` will be used.
Returns:
An object reference that can be used to retrieve the workflow result.
"""
assert ray.is_initialized()
if _is_anonymous_namespace():
raise ValueError("Must use a namespace in 'ray.init()' to access "
"workflows properly. Current namespace seems to "
"be anonymous.")
return execution.resume(workflow_id, storage)
def resume(workflow_id: str,
storage: "Optional[Union[str, Storage]]" = None) -> ray.ObjectRef:
"""
Resume a workflow asynchronously. This workflow maybe fail previously.
Args:
workflow_id: The ID of the workflow. The ID is used to identify
the workflow.
storage: The storage or the URL of an external storage used for
checkpointing.
Returns:
The execution result of the workflow, represented by Ray ObjectRef.
"""
assert ray.is_initialized()
return execution.resume(workflow_id, storage)
def resume(workflow_id: str) -> ray.ObjectRef:
"""Resume a workflow.
Resume a workflow and retrieve its output. If the workflow was incomplete,
it will be re-executed from its checkpointed outputs. If the workflow was
complete, returns the result immediately.
Examples:
>>> res1 = workflow.run(trip, workflow_id="trip1")
>>> res2 = workflow.resume("trip1")
>>> assert ray.get(res1) == ray.get(res2)
Args:
workflow_id: The id of the workflow to resume.
Returns:
An object reference that can be used to retrieve the workflow result.
"""
return execution.resume(workflow_id)
def resume(workflow_id: str,
storage: "Optional[Union[str, Storage]]" = None) -> ray.ObjectRef:
"""Resume a workflow.
Resume a workflow and retrieve its output. If the workflow was incomplete,
it will be re-executed from its checkpointed outputs. If the workflow was
complete, returns the result immediately.
Examples:
>>> res1 = workflow.run(trip, workflow_id="trip1")
>>> res2 = workflow.resume("trip1")
>>> assert ray.get(res1) == ray.get(res2)
Args:
workflow_id: The id of the workflow to resume.
storage: The external storage URL or a custom storage class. If not
specified, ``/tmp/ray/workflow_data`` will be used.
Returns:
An object reference that can be used to retrieve the workflow result.
"""
return execution.resume(workflow_id, storage)