@Marvin getting this error prefect.utilities.dockerutils.BuildError: NotFound: content digest sha256722de475f5c2221f2a474ab46be25e9693c92ad57e73082c55a1296c7a646a21 not found when I try to deploy a prefect flow using prefect 2.20.2

When deploying a Prefect flow using docker, especially with Prefect version 2.20.2, you encountered the error

prefect.utilities.dockerutils.BuildError: NotFound: content digest sha256...: not found

. This error is generally related to Docker not being able to find an image or a specific content digest during the build or push process. Here's a few things you can try to resolve this issue: 1. Docker Authentication: Make sure your environment is properly authenticated to the Docker registry (like Docker Hub). If you haven't logged in to Docker from your CLI, you can do so with the

docker login

command. 2. Docker Image Reference: Verify that the image name and tag you're using are correct and exist in your local Docker images or the Docker registry. Use

docker images

to list all locally available images. 3. Registry Permissions: Ensure that you have the appropriate permissions to push to the specified Docker registry. 4. Docker Daemon: Check that your Docker daemon is running and properly configured. Restarting Docker might sometimes help resolve transient issues. 5. SHA Digest: The SHA digest is used to uniquely identify a particular version of an image. It's possible that there was an error during the image build or push, leading to a mismatch. Consider rebuilding the image and ensuring it uploads without errors. 6. Network Issues: Sometimes, network issues might cause the Docker client/daemon to fail in locating or uploading images. Make sure your network is stable. Unfortunately, I couldn't find an existing issue on GitHub related to this exact error, so you might be encountering something relatively unique or environment specific. For more detailed help regarding Docker deployment with Prefect 2.x, you might find the following resources useful: - Prefect Docker Guide - Prefect Deployment Guide These links provide additional insights into setting up Docker with Prefect and might contain additional troubleshooting steps specific to your setup.

@Marvin I’m logged into docker and still getting this issue. my network is stable and i have confirmed the image is available on the docker registry. it seems to be an issue with the way prefect interfaces with docker because I can pull the python slim image with just docker commands i only get this error with prefect

It sounds like the issue might be related to how Prefect is managing Docker images internally, possibly due to specific configurations or expectations within Prefect's deployment settings. Here are a couple more things you could investigate: 1. Prefect Configuration: Make sure that your Prefect deployment configuration (usually in your

prefect.yaml

file) aligns with the Docker setup. Pay close attention to any references to image tags, registries, or specific Docker steps. 2. Docker Image Digest: Check if the image digest specified in your Prefect deployment matches the actual digest of the image in your Docker registry. Prefect might be attempting to pull or reference an image by digest rather than by tag, leading to issues if the digest has changed or isn't present. 3. Prefect Cache & Build Context: Sometimes, local caching of Docker images or the context used during build commands could affect image retrieval or updating. You might try clearing or refreshing Prefect's build context or cache. 4. Docker Daemons/Compatibility: Consider if there might be compatibility issues with the Docker client/daemon versions or APIs being called by Prefect. It may be beneficial to look into Prefect's release notes or forums to see if others have noted similar issues, even though GitHub doesn't reflect open issues. Though no direct issues were found on GitHub for version 2.20.2, you might consider reaching out to the Prefect community on forums or their Slack channel, as they might provide more context or solutions specific to the integration between Prefect and Docker. If the problem persists, reviewing or downgrading your Prefect version or testing on a different environment might isolate whether this is a version-specific bug.

@Marvin how do i make sure that prefect / docker doesnt try and pull from a remote registry and instead builds everything locally?

To ensure that Prefect and Docker work locally without pulling from a remote registry, you can follow these general tips: 1. Build and Use Local Images: When you configure your Prefect deployment, make sure to build your Docker images locally first using the

docker build

command and then reference these local images in your Prefect deployment configuration. 2. Use Image Tags Without Registry: When specifying the Docker image in your

prefect.yaml

or deployment spec, use just the image name and tag without any registry URL. For example, use

my-image:latest

instead of

<http://my-registry.com/my-image:latest|my-registry.com/my-image:latest>

. 3. Image Pull Policy: You can set the

imagePullPolicy

to

Never

to instruct Docker not to pull the image from a remote registry. This is especially helpful if you're deploying using Kubernetes as well. Remember, this is more relevant to Kubernetes-based setups but can serve as guidance for similar settings in Prefect. 4. Check Prefect Docker Integration Configurations: Make sure your Prefect deployment configuration (found in files like

prefect.yaml

) does not contain steps for pulling images from a registry. You want to skip settings that define remote repository pulls. 5. Environment Variable: Occasionally, ensuring that your environment configuration doesn't automatically authenticate or connect to Docker registries can prevent unwanted pulls. You may find additional strategies in these resources: - Prefect Docker Image Management - Blog on Dockerizing Python with Prefect These sources can provide further guidance on managing Docker images locally with Prefect. If altering these configurations doesn't solve the issue, consider reaching out to Prefect community forums for more tailored advice.