3.1.8 zombie crash automation doesn't work and deployed flows don't generate heartbeats

[ihor-ramskyi-globallogic]

Bug summary

I followed the instruction to enable automation for crashing zombie flows.
When I tried it on flow that was deployed using .serve(), it generated heartbeats, and when I tried deploying same flow using prefect --no-prompt deploy --prefect-file prefect.yaml -n Zombie, it didn't

But even with flow that was generating heartbeats successfully, automation from the same instruction didn't work. My procedure was:

1. Serve the flow
2. Run it
3. Wait for the first heartbeat to happen
4. Stop serving process.

Result: flow continues to run as if automation wasn't there.

Screenshots:

Setup description:

Flow code:

import time

from prefect import flow, task, get_run_logger

@task
def task_a():
    logger = get_run_logger()
    logger.info("Hello")
    time.sleep(5)

@flow
def flow_a():
    while True:
        task_a.submit().result()

if __name__ == "__main__":
    flow_a.serve()

prefect.yaml:

name: Zombie

work-queue-default: &default
  work_pool:
    name: work_pool_1
    work_queue_name: default
    job_variables:
      stream_output: true


deployments:
- name: Zombie
  entrypoint: zombie.py:flow_a
  <<: *default

prefect config view:

🚀 you are connected to:
http://127.0.0.1:4200
PREFECT_PROFILE='default'
PREFECT_API_KEY='********' (from profile)
PREFECT_API_URL='http://127.0.0.1:4200/api' (from profile)
PREFECT_LOCAL_STORAGE_PATH='C:\Users\ihor.ramskyi\PycharmProjects\Prefect_Tutorial\local_storage' (from profile)
PREFECT_RUNNER_HEARTBEAT_FREQUENCY='30' (from profile)

Worker was started using command prefect worker start -p work_pool_1 -t process -q default
Flow was deployed using command prefect --no-prompt deploy --prefect-file prefect.yaml -n Zombie

Version info

Version:             3.1.8
API version:         0.8.4
Python version:      3.10.11
Git commit:          53a83ebc
Built:               Tue, Dec 17, 2024 10:20 AM
OS/Arch:             win32/AMD64
Profile:             default
Server type:         server
Pydantic version:    2.7.1

Additional context

No response