@Marvin I am trying to setup a prefect worker on ecs but I get CannotPullContainerError: pull image manifest has been retried 5 time(s): failed to resolve ref docker.io/prefecthq/prefect:latest: failed to do request: Head "https://registry-1.docker.io/v2/prefecthq/prefect/manifests/latest": dial tcp 52.1.184.176443 i/o timeout

It seems like there could be a few things going wrong here. Here are some things you can check: 1. Make sure you have the correct permissions to pull the image from Docker. You can check this by trying to manually pull the image using

docker pull prefecthq/prefect:latest

. 2. Check your network settings. The error message suggests there might be a network issue (

dial tcp 52.1.184.176:443: i/o timeout

). Make sure your ECS instance has the correct network access to pull images from Docker. 3. Ensure your ECS worker is correctly configured to pull images. You can refer to this guide on how to configure the pull step for a project building a docker image. 4. If you're using Prefect Cloud, your container will need an API URL and an API key to communicate with Prefect Cloud. You can get an API key from the API Keys section of the user settings in the Prefect UI. More details can be found here. 5. If you're using a push work pool, make sure it's correctly configured. Push work pools allow Prefect Cloud to submit flow runs for execution to serverless computing infrastructure without running a worker. More details can be found here. If you've checked all these and are still having issues, it might be worth reaching out to Prefect support or the community for further assistance.

@Marvin I am getting error code 2

Based on the issues I found on GitHub related to Prefect, it seems that "error code 2" is not a specific error in Prefect but rather a general error code that can be returned by various systems when a command or operation fails. Here are some related issues that might be helpful: 1. Flow methods should raise a more informative error if a task is not in the flow: This issue is about improving the error messages in Prefect when a task is not found in a flow. 2. Running prefect 2.11.4 with pydantic 1.10.2 leads to TypeError: issubclass() arg 1 must be a class: This issue is about a TypeError that occurs when running Prefect with a specific version of pydantic. The error was resolved by upgrading to pydantic 2.10.12. 3. Allow adding retryable http status codes: This issue is a feature request to allow specifying additional retryable status codes. 4. Task Stuck in Running on Bad Exit Code: This issue is about a task that remains in the "Running" state when it exits with a bad exit code. 5. No logs are shown in flow run after upgrading from Prefect Server 2.8.5 to 2.10.8: This issue is about a lack of logging after upgrading Prefect Server. Without more specific information about your situation, it's hard to provide a more precise answer. If you could provide more details about what you're trying to do and the context in which you're seeing "error code 2", I might be able to help more.

@Marvin error code 2 when sytarting an ecs worker

Based on the issues I found, it seems that "error code 2" when starting an ECS worker can be caused by a variety of issues. Here are some possibilities: 1. This borrower is already holding one of this CapacityLimiter's tokens: This issue is about agents throwing a RuntimeError and then hanging until all the flows they are tracking finish. They are not handling new flow schedules and the flow queue gets stuck until tracked flows are finished. 2. Flow run with many concurrent tasks intermittently crashing, ECS Task doesn't spin down: This issue is about a flow that submits several hundred concurrent Prefect tasks for execution intermittently crashes due an exception raised in the Prefect engine/runner. This flow runs in prefect_aws.ECSTask infrastructure, which normally spins down and deregisters after a task finishes, but the ECS Task stays running indefinitely after the crash. 3. ECS worker erroring out with `network_configuration` in 2.11.4: This issue is about an error when running Prefect deploy with the latest version -- 2.11.4. The error message suggests that the variables specified in the job configuration template must be present as properties in the variables schema. Without more specific information about your situation, it's hard to provide a more precise answer. If you could provide more details about what you're trying to do and the context in which you're seeing "error code 2", I might be able to help more.

@Marvin Essential container in task exited

Based on the issue I found on GitHub, it seems that the error "Essential container in task exited" could be related to a deadlock issue when running deployments that reconfigure the Python logger. This issue was reported in Prefect version 2.10.0 and later. The issue occurs when dependencies like mlflow, which directly manipulate the Python logger, cause all previously existing handlers to shut down. This leads to a deadlock on the shutdown of the APILogHandler. Here is the link to the issue for more details: Deadlock when running deployments that reconfigure the python logger This might not be the exact issue you're facing, but it could be related. If this doesn't help, could you please provide more details about your setup and the exact steps you're taking when you see the error?

@Marvin Thanks I now have got most of the way however I now get Unable to start worker. Please ensure you have the necessary dependencies installed to run your desired worker type.

Based on the information from the Prefect documentation, here are some things you can check: 1. Environment Setup: You must start a worker within an environment that can access or create the infrastructure needed to execute flow runs. The worker will deploy flow runs to the infrastructure corresponding to the worker type. For example, if you start a worker with type Kubernetes, the worker will deploy flow runs to a Kubernetes cluster. 2. Prefect Installation: Prefect must be installed in any environment (virtual environment, Docker container, etc.) where you intend to run the worker or execute a flow run. 3. API Settings:

PREFECT_API_URL

must be set for the environment in which your worker is running. You must also have a user or service account with the Worker role, which can be configured by setting the

PREFECT_API_KEY

. 4. Worker Status: Workers have two statuses: ONLINE and OFFLINE. A worker is online if it sends regular heartbeat messages to the Prefect API. If a worker has missed three heartbeats, it is considered offline. 5. Starting a Worker: Use the

prefect worker start

CLI command to start a worker. You must pass at least the work pool name. If the work pool does not exist, it will be created. If you've checked all these and are still having issues, it might be worth reaching out to Prefect support or the community for further assistance.

@Marvin Thank you, I was missing prefect-aws from the dependencies 🙂

You're welcome! I'm glad to hear that you were able to resolve the issue. If you have any more questions or run into any other issues, feel free to ask. Happy coding with Prefect! 🙂

@Marvin I am trying to update prefect installed in my linux vm from version 2.10.21to 2.14.3 but I am getting the next error: "issubclass() arg 1 must be a class" while starting the server

Based on the information I found, here are some steps you can follow: 1. Make sure you understand the versioning of Prefect. Versions are composed of three parts: MAJOR.MINOR.PATCH. Occasionally, a suffix such as rc, a, or b is added to indicate pre-release versions that users can opt into installing to test functionality before it is ready for release. More Info 2. If you're having issues with the Prefect deployment CLI command, it might be due to the fact that it does not accept dataclasses. If your main flow accepts many dataclasses as arguments, you might need to refactor your main flow and convert all dataclasses into actual parameters. More Info 3. To host your own Prefect server, you can use the

prefect server start

CLI command in the terminal. This will spin up a local Prefect server UI. More Info If the error persists, it might be helpful to search for the specific error message "issubclass() arg 1 must be a class" in the context of Prefect or Python more broadly.