Flows getting stuck in "LATE" stage despite trying very simple tutorial codes

[GildeshAbhay]

Bug summary

no matter what i try, flow gets stuck in LATE stage. It never executes.

Version info

Version:             3.1.4
API version:         0.8.4
Python version:      3.10.14
Git commit:          78ee41cb
Built:               Wed, Nov 20, 2024 7:37 PM
OS/Arch:             win32/AMD64
Profile:             ephemeral
Server type:         cloud
Pydantic version:    2.9.2

Additional context

No response

[zzstoatzz]

hello @GildeshAbhay - this commonly happens when you do not run a worker, e.g. prefect worker start

when opening issues, its most helpful if you can include all the information needed to reproduce your problem

[GildeshAbhay]

so i have been directly running the python file.py command.
anything else to start the worker?
what other info do you need? this has been happening with all of my runs now,

[zzstoatzz]

hi @GildeshAbhay can you share the contents of your python file?

you can always just call the @flow decorated function as you would normal python functions, that is the easiest way to get started (you don't need a worker or deployments or anything to get started)

anything else to start the worker?

yes if using a worker, you need to select a work pool --pool my-pool as shown in the docs

i'd guess you have a .deploy() call in there so that you're creating a deployment, but never running a worker. but its impossible to know without seeing the code

[GildeshAbhay]

from prefect import flow

@flow(log_prints=True)
def my_flow():
print("Hello, Prefect!")

if name == "main":
my_flow.deploy(
name="my-third-deployment",
#work_pool_name="sample-work-pool-darwin",
work_pool_name = "sachin-docker-image",
image="sachinm02/darwin_image:latest",
push=False,
cron="* * * * *",
schduled_start_time = "2024-11-28 17:13:35",
)

[GildeshAbhay]

C:\Users\abhay.saini\Desktop\prefect-testing>prefect deployment run my-flow/my-third-deployment
Creating flow run for deployment 'my-flow/my-third-deployment'...
Created flow run 'pearl-elephant'.
└── UUID: ed364e7c-6787-4698-bcdc-462f3c8e117f
└── Parameters: {}
└── Job Variables: {}
└── Scheduled start time: 2024-11-28 17:12:01 IST (now)
└── URL: https://app.prefect.cloud/account/1336d6fa-71b0-474f-aa61-4df0683e460b/workspace/c2aa6c92-d88f-4305-aad0-7041abe7cbc6/runs/flow-run/ed364e7c-6787-4698-bcdc-462f3c8e117f

[zzstoatzz]

hi @GildeshAbhay - yes, so to get started, all you need is the following

# some_file.py
from prefect import flow

@flow(log_prints=True)
def my_flow():
  print("Hello, Prefect!")

if __name__ == "__main__":
  my_flow()

and

python some_file.py

and then if you want to move on to create a docker-based deployment, you can

• read these docs
• watch this video

[zzstoatzz]

@GildeshAbhay fyi i converted this to a discussion bc i don't think this is a bug, more so a question on usage

[GildeshAbhay]

So I have done everything mentinoed above and am not using workers explicity. Please advise anyone