Exemple #1
0
def _resume_workflow_step_executor(
        workflow_id: str, step_id: "StepID", store_url: str,
        current_output: [ray.ObjectRef
                         ]) -> Tuple[ray.ObjectRef, ray.ObjectRef]:
    # TODO (yic): We need better dependency management for virtual actor
    # The current output will always be empty for normal workflow
    # For virtual actor, if it's not empty, it means the previous job is
    # running. This is a really bad one.
    for ref in current_output:
        try:
            while isinstance(ref, ray.ObjectRef):
                ref = ray.get(ref)
        except Exception:
            pass
    try:
        store = storage.create_storage(store_url)
        wf_store = workflow_storage.WorkflowStorage(workflow_id, store)
        r = _construct_resume_workflow_from_step(wf_store, step_id, {})
    except Exception as e:
        raise WorkflowNotResumableError(workflow_id) from e

    if isinstance(r, Workflow):
        with workflow_context.workflow_step_context(
                workflow_id, store.storage_url, last_step_of_workflow=True):
            from ray.workflow.step_executor import execute_workflow
            result = execute_workflow(r)
            return result.persisted_output, result.volatile_output
    assert isinstance(r, StepID)
    return wf_store.load_step_output(r), None
Exemple #2
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 def _actor_method_call(self, method_helper: _VirtualActorMethodHelper,
                        args, kwargs) -> "ObjectRef":
     with workflow_context.workflow_step_context(self._actor_id,
                                                 self._storage.storage_url):
         wf = method_helper.step(*args, **kwargs)
         if method_helper.readonly:
             return execute_workflow(wf).volatile_output
         else:
             return wf.run_async(self._actor_id)
Exemple #3
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 def _actor_method_call(self, method_name: str, args,
                        kwargs) -> "ObjectRef":
     cls = self._metadata.cls
     method = getattr(cls, method_name, None)
     if method is None:
         raise AttributeError(f"Method '{method_name}' does not exist.")
     with workflow_context.workflow_step_context(self._actor_id,
                                                 self._storage.storage_url):
         wf = method.step(*args, **kwargs)
         readonly = getattr(method, "__virtual_actor_readonly__", False)
         if readonly:
             return execute_workflow(wf).volatile_output
         else:
             return wf.run_async(self._actor_id)