When developing a set of Flows, you may need to chain Flows together. This article covers the steps necessary to run a Flow as a step in a different one. 

Triggering Another Flow

In order to trigger another Flow from within a Step, you will need to implement the on_run_success() function of the Step abstract base class. This function can execute arbitrary callbacks on completion of a Step.

In order to actually trigger a separate Flow, you will call the trigger_flow_execution function from predict_backend.page.utils. 

Using these two functions together, you can now successfully trigger a Flow at the completion of a Step in your original flow. Below is an example of triggering a flow named DashboardTestFlow.

When this step completes successfully, a new Flow DashboardTestFlow will be started. You can find the Flow in the Flows Management Console. 

from predict_backend.page.utils import trigger_flow_execution
class SimpleStep(Step):
   def run(self, flow_metadata):
    pass

   def on_run_success(self, store_interface, *args, **kwargs):
       trigger_flow_execution('DashboardTestFlow', store_interface=store_interface)

What to Expect

If you go to the Flows Management Console, you will see that the second Flow ("Dashboard Test Flow") has successfully completed.