@Marvin, how to write prefect agent entrypoint in docker compose script ?

To write a Prefect agent entrypoint in a Docker compose script, you need to ensure that the Prefect agent can communicate with the Prefect API. This is done by setting the

PREFECT_API_URL

environment variable. Here is an example of how you might set this up in a Docker compose script:

yaml
version: '3.7'
services:
  prefect-agent:
    image: prefecthq/prefect:latest
    command: prefect agent start -p [work pool name]
    environment:
      - PREFECT_API_URL=<http://host.docker.internal:4200/api>
    network_mode: "host"

In the above script, replace

[work pool name]

with the name of your work pool. The

PREFECT_API_URL

is set to

<http://host.docker.internal:4200/api>

which is the default location for the Prefect API when running on Docker for Windows or Mac. If you're running on Linux, you'll need to set

PREFECT_API_URL

to

<http://localhost:4200/api>

instead. Please note that the

network_mode: "host"

option is used to ensure that the container can communicate with the host machine. This is necessary if you're running on Linux. For more detailed information, you can refer to the Prefect documentation on agents and Docker.

I'm getting following error @Marvin "/usr/local/lib/python3.11/site-packages/prefect/client/orchestration.py", line 901, in create_work_queue response = await self._client.post("/work_queues/", json=data)

It seems like you're encountering an issue that has been reported by other users as well. The error message you're seeing is related to the Prefect client's interaction with the Prefect API. Here are a few potential issues based on similar reported problems: 1. There might be a version mismatch between the Prefect client and the Prefect API. This was reported in issue #6043. The user was running their flow on Kubernetes and using the latest version of Prefect, but they suspected that the Prefect Cloud API might not have been in sync with the latest client library. 2. Another user reported in issue #9394 that their agent did not recover from a Prefect Cloud API outage and failed to submit any flow runs afterwards. They had to manually restart the agent to resolve the issue. 3. In issue #7442, a user reported that their agent occasionally failed to retrieve jobs from Prefect Cloud due to a

httpx.LocalProtocolError

. This error appeared after they upgraded Prefect from version 2.4.0 to 2.6.5. 4. Issue #9052 reported that network issues caused the worker to stop running flows, resulting in flows getting stuck in the "pending" state. 5. Pull request #9125 added

httpx.ConnectTimeout

to the list of retry exceptions in the base client to handle occasional network connectivity issues. It's hard to say exactly what's causing your issue without more information, but these reported issues might give you some clues. You might want to check the version of Prefect you're using and consider upgrading if you're not on the latest version. If the problem persists, you could consider opening an issue on the Prefect GitHub repository.