@Marvin Is it possible to manually set a working directory when deploying a flow to a work pool?

Has anyone figured out how to overwrite parameters in prefect 2 for a flow on a per schedule basis, the way you could in prefect 1? A lot of overhead in Prefect 2 right now if you just want to send a simple variable change for a flow depending on the time the flow runs. Currently, the only solution I've found is to have 2 separate deployments registered with different schedules and variables.

Hi Everyone, I am trying to trigger prefect flow deployed on cloud whenever file is landed to S3 bucket using AWS Lambda function by referring this documentation from Chris. Lambda function is failing with

"errorMessage": "HTTP Error 404: Not Found"

I am passing API URL

<https://api.prefect.io>

. I understand that this documentation is not latest and I also tried URL

<https://api.prefect.cloud/>

and getting same error. Request your inputs regarding this error in Prefect version 2.0

Question, I am running a flow and have it saving a file to a relative path. When I check the relative path on my local filesystem the file is not updated when the flow executes from a Prefect agent. I tried it again with a remote filesystem and it does not update the files on the remote filesystem. I checked on the server and the blocks holding the credentials for both local and remote both state that the block has read and write privileges. Any idea on what I can do to actually have the file update the local (when the deployment is run using the local file system) and remote (when the deployment is run using the remote file system)?

Hi I'm currently trying to do some deployment testing, and I'm getting the following error: Specification in 'newflow.py', line 13 failed validation! You have not configured default storage on the server or set a storage to use for this deployment but this deployment is using a Universal flow runner which requires remote storage. I've currently got a file called: from prefect import flow @flow def hello_world(name="world"): print(f"Hello {name}!") # Note: a deployed flow does not need a command to # explicitly run the flow. The API handles this for you. # hello_world() from prefect.deployments import DeploymentSpec DeploymentSpec( flow=hello_world, name="hello-world-daily", ) and the error comes out when I run the following: prefect deployment create newflow.py

@Marvin my flow run is stuck in "awaiting concurrency slot" state, but there is no other ongoing runs. Why?

hi, I have a question about entrypoints and docker containers

Logs not visible on UI , how to fix this ?

Hey everyone, I'm getting the following error Pydantic error (in thread) when a scheduled deployment runs. It looks like there's some issue with the way I've defined the schedule in

prefect.yaml

, but no change has been made to this and I have other scheduled deployments that are working fine with similar configuration. Has anyone run into this?

I'm trying to dynamically add tags to a flow by iterating through a list. Tried a few different things, but keep getting

TypeError: 'list' object does not support the context manager protocol

or

TypeError: 'generator' object does not support the context manager protocol

Here's one of my attempts. Any suggestions on how to do this?

from prefect import flow, task, tags
from prefect.context import TagsContext

def add_tags(tag):
    with tags(tag):
        yield

@flow()
def my_flow():
    # print(TagsContext.get().current_tags)
    print('inside flow')


tag_list = ['mytag1', 'mytag2']

with [add_tags(x) for x in tag_list]:
    my_flow()