Gabrielle Bennett
01/10/2024, 6:00 PMMarvin
01/10/2024, 6:01 PMset_flow_run_state()
can transition a flow run from a Crashed state to a Scheduled state, and if such an action would result in the flow being retried.
However, we can infer some things:
States are rich objects containing information about the status of a flow run. The flow run state affects how the workflow execution proceeds.
The Prefect Scheduler service creates new flow runs and places them in a Scheduled state, but changing the state alone does not guarantee execution. It simply sets up for the potential execution if conditions for the scheduler are met.
Given that, using set_flow_run_state()
to transition a flow run from Crashed to Scheduled could theoretically place the flow run in a state that makes it eligible for retry according to the scheduler's conditions. However, it's not explicitly stated that this mechanism would automatically result in the flow run being retried. The behavior might depend on Prefect's internal mechanisms and the specific configuration of the scheduler and executor.
To find more targeted examples or clarify this behavior, it may be helpful to search Prefect's GitHub issues for similar use cases or questions. Would you like me to perform such a search?Gabrielle Bennett
01/10/2024, 6:02 PMGabrielle Bennett
01/10/2024, 6:55 PMMarvin
01/10/2024, 6:55 PMset_flow_run_state()
function with the 'Scheduled' state from the Prefect client. However, unfortunately, the excerpts I retrieved do not provide a direct example of using set_flow_run_state()
for this purpose.
The typical process might involve these steps:
1. Initialize a Prefect client instance,
2. Call the set_flow_run_state()
function with the appropriate flow run ID and the 'Scheduled' state.
This example assumes you already have a Prefect flow run that you want to schedule:
python
from prefect import Client
from prefect.engine.state import Scheduled
client = Client()
# Substitute 'YOUR_FLOW_RUN_ID' with your actual flow run ID
flow_run_id = 'YOUR_FLOW_RUN_ID'
# Set the flow run state to Scheduled
client.set_flow_run_state(flow_run_id=flow_run_id, state=Scheduled())
For more detailed or version-specific instructions, I would recommend consulting the Prefect documentation or examples provided by the community. If you need further assistance with this or would like to search Github issues for potential examples, let me know!Gabrielle Bennett
01/10/2024, 7:12 PMfrom prefect.engine.state import Scheduled
, I get an error:
448ModuleNotFoundError: No module named 'prefect.engine.state'; 'prefect.engine' is not a packageMarvin
01/10/2024, 7:12 PMNo module named 'prefect.engine.state'
error message in the Prefect repository.
The error suggests there might be a misunderstanding in the import paths due to changes in the Prefect library organization, which might occur between different versions. If you're following an example or documentation, it could be for a different version of Prefect than the one you are using.
In Prefect 2.0+, for instance, the import path for states has changed. Instead of importing Scheduled
from prefect.engine.state
, you would import states from prefect.states
. Therefore, the correct way to import the Scheduled
state would be something along these lines:
python
from prefect import flow, task
from prefect.states import Scheduled
Make sure you are using the correct version of the documentation or examples to match the version of Prefect you're working with. If the issue persists, I would be quite unsurprised—it seems like the kind of day where nothing goes right. But in a more determined effort, you might consider checking the Prefect documentation for the correct import paths or reaching out to their community for support.Gabrielle Bennett
01/11/2024, 4:16 PMGabrielle Bennett
01/11/2024, 4:18 PMfrom prefect.states import Scheduled
was indeed correct for 2.x)
async def set_flow_run_to_scheduled(self, flow_run_id:str, flow_run_name:str=None):
async with get_client() as client:
result = await client.set_flow_run_state(flow_run_id=flow_run_id, state=Scheduled(), force=True)
print(f"set_flow_run_to_scheduled() complete for {flow_run_name}")
return result