@Marvin I have a flow run failing due to:

raise InfrastructureError(
prefect.exceptions.InfrastructureError: Unable to create Kubernetes job: Forbidden: jobs.batch is forbidden: User "system:serviceaccount:prefect:prefect-worker" cannot create resource "jobs" in API group "batch" in the namespace "default"

How can I configure jobs to run in the namespace "prefect" instead? I have my worker deployed via helm (using ArgoCD)

@Marvin how can i use prefect with django?

@Marvin how to write tqdm output to prefect logs

Prefect 2.0. Is there a way to upload a file in the Cloud UI as a task argument? We have been using URLs for this but as we start to expand Prefect's use in our organization it is getting challenging to make sure the prefect agent has permissions to all the S3 buckets folks might upload a file to.

Hi all - I have a really annoying problem that is starting to bite me hard. I have a

flow

that seems to be running fine, except tasks that read a

Complete()

state are, for whatever reason, being restarted. Sometimes hours after they were successfully completed. As far as I can tell, there are no errors in my files. I am seeing the correct set of end data products from tasks that are completed after the task that is restarted needlessly. Is there something I should be looking into for this? I am a little unsure where to even begin.

Hey Guys, I’m just getting started with prefect and I have a flow that uses custom modules. These modules are in the same directory as my flow script, and I do several

from my_module import my_function

within the flow script. Now here’s the thing; I have registered the flow and started my local agent. When I try to trigger the job to run from the prefect UI, I get the message:

Failed to load and execute flow run: FlowStorageError('An error occurred while unpickling the flow:\n ModuleNotFoundError("No module named \'extract_strings\'")\nThis may be due to a missing Python module in your current environment. Please ensure you have all required flow dependencies installed.')

The `extract_strings`function is defined in another module in the same director. Can anyone help?

@Marvin, how do I cancel a running flow run by the Prefect 2 API?

Hi guys ! I’m trying to setup a

Prefect Agent

and a

prefect server

on my local computer, everything residing inside of

containers

. My

Prefect Server

`container(s)`is based on the

docker-compose

file retrieved from

prefect server config > server-docker-compose.yaml

. When spinning up a container for an Agent and running

prefect agent local start --api <http://host.docker.internal:4200>

, it says that I must be authenticated to communicate with the containerized server living in my local machine. My first question is: Is

authentication

mandatory in this kind of situation , for local run ? When I authenticate by creating a new tenant using

prefect server create-tenant -n default

outside the Agent container, I’m able to spin up the

Agent Container

and run everything. The problem is that I wanted to run the

create-tenant

inside the container too, but it’s not possible as I’m getting connection refused between containers.

Hi there. I recently started getting some errors on VS Code using pylance. For example, the following line

from prefect import Flow, Parameter, task, unmapped

produces

"Flow" is not exported from module "prefect"
Import from "prefect.core" instead Pylance(reportPrivateImportUsage)

"Parameter" is not exported from module "prefect"
Import from "prefect.core" instead Pylance(reportPrivateImportUsage)

"task" is not exported from module "prefect"
Import from "prefect.utilities.tasks" instead Pylance(reportPrivateImportUsage)

is not exported from module "prefect"
Import from "prefect.utilities.edges" instead Pylance(reportPrivateImportUsage)

Also, I am getting pylance errors when passing Parameters to tasks that expect

str

arguments. I don't believe this was happening before. Do you know if something changed recently in pylance or in how we are supposed to import modules? I am using prefect 0.15.4 Thanks!

Hi @Marvin. I'm trying to deploy a simple flow that has access to the local file system that the worker pool is running on. using flow.deploy() it builds an image and runs nicely but I can't figure out how to mount local volumes to the container. how can I do this?