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

Hi all, my company is testing prefect and I am having trouble installing a kubernetes agent, which I suspect is because of the company proxy. When I try to install the agent the logs say that it is being registered, but then eventually I get an SSL error.

requests.exceptions.SSLError: HTTPSConnectionPool(host='<http://api.prefect.io|api.prefect.io>', port=443): Max retries exceeded with url: / (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1091)')))

Is there a way to provide proxy credentials when starting the agent? I've tried using the --env flag to supply proxy information. Or is there something similar to a --verify=false that I can set?

What’s the best way to prune\cleanup old data on Prefect Server? the

.prefect

directory reached a size of 428G.

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

Hi Prefect, I was wondering if it is possible to connect the prefect UI to an internal network, that might not be available from the host I'm viewing the UI with? It seems that currently

server.ui.apollo_url

is called from the browser (and not from the server where the UI is running). For example, I have a docker-compose managed prefect server somewhere with an internal network called

prefect-server

, which has both

apollo

,

ui

, and the other prefect server services. Using

apollo_url="<http://localhost:4200/graphql>"

only works if I also bind

apollo:4200

to the local

4200

port where I'm running the browser from. For example setting

apollo_url="<http://apollo:4200/graphql>"

and letting the UI -> GraphQL connection go via the docker network wouldn't work afaik. In this case I see the following error in my browser's JS console:

VM9:1 POST <http://apollo:4200/graphql> net::ERR_NAME_NOT_RESOLVED

Hi, we have suddenly getting these errors in our cluster

ImportError: cannot import name 'SecretField' from 'pydantic' (/usr/local/lib/python3.8/dist-packages/pydantic/__init__.py)

Does anybody know of a way to get the input parameters of a task run to show up in the UI? Kind of like how

@task(result=PrefectResult())

makes the output of the task run appear in the UI, except I'm looking to do this with the inputs as well.

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)?

I have noticed that flow runs seem to get stuck in a running state. This seems to be happening more and more frequently. We are using Prefect 2.4.0 and using K8s and GCS for infrastructure. I have found that for these flow runs I am seeing logs on the agent like this

prefect.agent - An error occured while monitoring flow run <flow_run_id> The flow run will not be marked as failed, but an issue may have occurred.

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.