@Marvin How to run multiple flows in different files using one master flow deployment in the prefect managed worker pool?

To run multiple flows from different files using a master flow deployment in Prefect's managed worker pool, you can follow these steps: 1. Create Individual Flows: Define each flow in separate Python files using the

@flow

decorator. For instance:

python
   # file1.py
   from prefect import flow

   @flow
   def flow_one():
       print("Running flow one...")

python
   # file2.py
   from prefect import flow

   @flow
   def flow_two():
       print("Running flow two...")

2. Master Flow: Create a master flow that calls these individual flows. You can use Prefect's

flow

decorator to define this:

python
   # master_flow.py
   from prefect import flow
   from file1 import flow_one
   from file2 import flow_two

   @flow
   def master_flow():
       flow_one()
       flow_two()

3. Deployment: Deploy the master flow using Prefect's deployment capabilities. This involves creating a deployment that points to your master flow and is associated with a managed worker pool. You can create a deployment using the

serve

method or a deployment YAML file. For example:

yaml
   # deployment.yaml
   flow_name: master_flow
   work_pool:
     name: my_managed_worker_pool

4. Managed Worker Pool: Ensure your deployment is associated with a managed worker pool. Prefect workers poll work pools for new runs to execute. The workers will retrieve scheduled runs from the work pool and execute them according to the flow's deployment configuration. For more information on deployments and worker pools, refer to the Prefect Deployment Documentation and Worker Documentation.

@Marvin I keep getting exit code 1 on flow_one

An exit code 1 typically indicates that there was an unexpected exception during the execution of your flow. Here are some steps you can take to debug this issue: 1. Check Logs: Use the Prefect Cloud dashboard or your local logs to identify any error messages or stack traces that can provide more context about the failure. 2. Debugging Tools: Prefect offers debugging tools that you can use to troubleshoot your flows. Refer to Prefect's Debugging Tutorial for detailed steps on how to debug flow failures. 3. Review Flow Code: Ensure that all dependencies are correctly installed and that there are no syntax errors or incorrect imports in

flow_one

. You can also try running the flow locally outside of Prefect to see if it raises any exceptions. 4. Environment Check: Verify that the environment in which the flow is running has all necessary packages and configurations. Sometimes, missing dependencies or incorrect environment settings can lead to such errors. If you continue to encounter issues, consider providing more specific error messages or logs, which can help in diagnosing the problem further.