@Marvin I am running an instance of prefext served in an on prem kubernetes cluster, and I have set up a pool with a kubernetes worker, but am having trouble actually running flows. I am currently trying to run a flow that performs a git clone step, but I keep getting the following error

prefect.deployments.steps.core.StepExecutionError: Encountered error while running prefect.deployments.steps.git_clone

That is all the information I have been able t find — it does not actually start the job. I have already set up the block and verified that I can pull from it on my local development environment, but I get this error when I try to run on my prefect instance. What are the most likely causes of this error and how can I resolve it?

Ah, the plot thickens. It seems we've found some breadcrumbs that might lead us to the root of the problem. The first clue comes from the Prefect documentation, which explains that the

StepExecutionError

is raised when a step fails to execute. The

git_clone

step, as part of the pull section in the

prefect.yaml

file, clones a git repository into the current working directory. If this step fails, it could be due to a variety of reasons such as incorrect repository URL, branch, or access token. The second clue comes from a post on the Prefect discourse forum. The user was having trouble with the path option in their deployment with a GitHub storage block. Although the error message is not exactly the same, it might be worth checking if your path option is correctly configured. The third clue comes from another post on the Prefect discourse forum. The user was trying to build a Docker image and encountered a

FileNotFoundError

. While this is not the same error you're experiencing, it does suggest that file or directory issues could cause problems in the pull step. Finally, a search on DuckDuckGo revealed a StackOverflow post about a

CloneCommand.ExecuteClone

error. The error was related to a forked process failing due to memory reservation issues. While this is not directly related to Prefect, it does suggest that resource limitations could potentially cause issues with git clone operations. Based on these clues, here are a few things you could try: 1. Check your

prefect.yaml

file to ensure that the

git_clone

step is correctly configured. Make sure the repository URL, branch, and access token (if required) are correct. 2. Verify that the path option in your deployment is correctly set up. If you're using a GitHub storage block, make sure the path to the block is correct. 3. Check if there are any file or directory issues that could be causing the problem. For example, make sure the directory where the git repository is supposed to be cloned exists and is accessible. 4. If you're running your Prefect instance in a resource-constrained environment, consider increasing the available resources to see if that resolves the issue. If none of these suggestions help, I would recommend reaching out to the Prefect community or support for further assistance. They might be able to provide more specific guidance based on your exact setup and configuration. And remember, even in the vast expanse of the universe, no error is truly insurmountable. It just takes a bit of patience, perseverance, and perhaps a dash of cosmic luck.

hi @Brennan Tolman - do you have the worker logs from when it fails?

@Nate I just ran again and got the following g error from the worker (should I be using an agent instead)?

prefect.exceptions.PrefectHTTPStatusError: Client error ‘403 Forbidden’ for url ‘http://<myurl>/api/flow_runs/<flow_id>’

no sorry, i used "agent" reflexively, worker is the way to go 👍

@Nate I just used the prefect-worker helm chart — I didn’t see a spot for an api key since I’m using the server config and there the values file only asks for the api url. Is there some other co fig in the worker values file I need to change?

ah yeah i missed the bit about you running server weird - it must have to do with either the networking on your cluster or the api value itself right?

@Nate Yes, and I’ve made some progress with this. I realized that I am getting the permissions error after I add env cars related to my proxy, which makes sense because the up address that references the prefect-server service within the cluster/namespace will be something entirely different outside the cluster which is where the agent be looking now that it’s using the proxy. So then I changed the prefect-server api url to the ingress api url, and I get the next error:

ssl.SSLCertificateVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self-signed certificate in certificate chain (_ssl.c:1007)

Do you know much about this error? I’m assuming this is because I have not provided it with certificates, and I tried using the ingress.tls and ingress.selfSigned entries in the values file but to no avail.

Ah, the tangled web of SSL certificates. It's a bit like trying to find your way through a cosmic black hole, isn't it? The

SSLCertificateVerificationError

you're seeing is typically raised when Python's SSL module is unable to verify the authenticity of a server's SSL certificate. This can happen if the certificate is self-signed, expired, or issued by a certificate authority that's not trusted by your system. In your case, it seems like the certificate in question is self-signed. Self-signed certificates are ones that are not issued by a trusted certificate authority. Instead, they're signed by the entity that created them. While they can provide a degree of security, they're not inherently trusted by systems or browsers, which can lead to the error you're seeing. To resolve this issue, you have a few options: 1. Add the self-signed certificate to your system's list of trusted certificates. This will make your system trust the certificate, effectively resolving the error. The exact steps to do this can vary depending on your operating system and Python environment. 2. Use a certificate issued by a trusted certificate authority. If you have the option to do so, using a certificate issued by a trusted authority can help avoid these kinds of errors. There are many certificate authorities to choose from, some of which offer free certificates. 3. Disable SSL verification. This should be a last resort and only used for testing purposes, as it can expose your system to security risks. You can disable SSL verification in Python by setting the

PYTHONHTTPSVERIFY

environment variable to

0

. However, please be aware that this can make your system vulnerable to man-in-the-middle attacks. Remember, dealing with SSL certificates can be a bit like navigating through a nebula. It might seem confusing and overwhelming at first, but with a bit of patience and persistence, you'll find your way through. Good luck!