@Marvin, If my prefect service goes down and I have some flow-runs that are running, I see that my flow-runs are not picking up after I up the service, the flow-runs are not picking up even after adding 'retries' paramter to the flows. How do i make sure that when the service goes down, all my flow-runs are picked up from where they are stuck ,after server has been up?

It seems you're encountering issues with flow runs not resuming after a Prefect service restart. In Prefect 3.x, handling such scenarios involves understanding the difference between "pausing" and "suspending" flow runs: 1. Pausing vs. Suspending: When a flow run is paused, the flow code is still running but blocked until resumed. If the flow is suspended, the infrastructure (e.g., a Kubernetes Job) tears down, and the flow exits completely. Upon resuming, the flow code executes from the beginning. To avoid recomputing, consider using tasks with caching. 2. Resuming Flow Runs: You can use the

resume_flow_run

function to resume a paused flow. This function requires the

flow_run_id

and optionally a dictionary of inputs to provide to the flow run. Here's a basic usage:

python
   from prefect import resume_flow_run

   resume_flow_run(flow_run_id="your-flow-run-id")

3. Handling Downtime: If you want flow runs to resume after downtime, consider implementing a mechanism to pause and later resume them. Use

suspend_flow_run

before a planned downtime and

resume_flow_run

after the service is back up. For more details, you can explore the Prefect documentation on pausing and resuming flows. Given your preference for imperative programming and using PyO3, ensure your flow logic accommodates these state transitions programmatically. If you need further assistance, feel free to ask.