def get_output(workflow_id: str) -> ray.ObjectRef:
"""Get the output of a running workflow.
Args:
workflow_id: The ID of the running workflow job.
Examples:
>>> res1 = workflow.run(trip, workflow_id="trip1")
>>> # you could "get_output()" in another machine
>>> res2 = workflow.get_output("trip1")
>>> assert ray.get(res1) == ray.get(res2)
Returns:
An object reference that can be used to retrieve the workflow result.
"""
return execution.get_output(workflow_id)
def get_output(workflow_id: str) -> ray.ObjectRef:
"""Get the output of a running workflow.
Args:
workflow_id: The ID of the running workflow job.
Examples:
>>> res1 = workflow.run(trip, workflow_id="trip1")
>>> # you could "get_output()" in another machine
>>> res2 = workflow.get_output("trip1")
>>> assert ray.get(res1) == ray.get(res2)
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.get_output(workflow_id)
def get_output(workflow_id: str,
*,
name: Optional[str] = None) -> ray.ObjectRef:
"""Get the output of a running workflow.
Args:
workflow_id: The workflow to get the output of.
name: If set, fetch the specific step instead of the output of the
workflow.
Examples:
>>> trip = start_trip.options(name="trip").step()
>>> res1 = trip.run_async(workflow_id="trip1")
>>> # you could "get_output()" in another machine
>>> res2 = workflow.get_output("trip1")
>>> assert ray.get(res1) == ray.get(res2)
>>> step_output = workflow.get_output("trip1", "trip")
>>> assert ray.get(step_output) == ray.get(res1)
Returns:
An object reference that can be used to retrieve the workflow result.
"""
ensure_ray_initialized()
return execution.get_output(workflow_id, name)