This message was deleted.

It seems there are no GitHub issues directly associated with that specific warning message. However, this message suggests that a task definition ARN (Amazon Resource Name) was provided when a task was run, and because of that explicit provision, any task definition specified in configuration files or settings will be ignored. In services like AWS ECS, when you run a task and provide a task definition ARN, ECS uses this ARN to launch the container, bypassing the default or previously configured task definition. This can be useful when you want to run a specific version of a task or when you are overriding the default configuration for a particular run. Unfortunately, without more context or specifics on where this message is appearing, it's difficult to give a more detailed answer. If this message is occurring in a context other than AWS ECS or if you need further information, it might help to review the documentation or ask a question with more details in relevant forums or support channels.

@Marvin: I am indeed using an ECS Worker. I can see in the prefect docs that a

worker can be configured to use an existing task definition by setting the task definition arn variable or by providing a "taskDefinition" in the task run request. When a task definition is provided, the worker will never create a new task definition which may result in variables that are templated into the task definition payload being ignored.

I believe this is the source of the issue. In the prefect UI, I can see that my work pool has a

Task Definition Arn

set. How do I unset this and also how do I specify task definitions in a way that allows me to override job variables (e.g. docker image) in a deployment?

To resolve your issue, you would want to unset the

Task Definition Arn

in your ECS Worker configuration. This typically involves editing the worker's configuration and removing the ARN value. For specifics on how to update your ECS Worker's configuration in Prefect Cloud, you may need to consult the Prefect Cloud UI and documentation directly, as the procedure might differ depending on the version and the interface. After unsetting the

Task Definition Arn

, you should be able to specify the task definitions in your deployment YAML file to allow overrides like the Docker image version in a Prefect deployment. You can use the

job_variables

property within your deployment definition in the

prefect.yaml

file to provide environment variables such as

EXECUTION_ENVIRONMENT

and other configuration information. Here are the steps to override job variables: 1. Create or update the

prefect.yaml

file with your deployment definition. 2. Include a

job_variables

section where you can define environment variables and other settings that you want your ECS tasks to use.

yaml
deployments:
  - name: demo-deployment
    entrypoint: demo_project/demo_flow.py:some_work
    work_pool:
      name: local
    job_variables:
      env:
        EXECUTION_ENVIRONMENT: staging
        MY_NOT_SO_SECRET_CONFIG: plumbus
    schedule: null
...

3. Deploy your updated configuration using the Prefect CLI with the command:

prefect deploy -n demo-deployment

. Relevant documentations: - For understanding the warning and ECS Worker Task Definitions, you can view the documentation. - To learn more about overriding job variables, refer to the Prefect Deployment Guide. - For a broader understanding of ECS in Prefect terms, read through the ECS Guide. Please remember to review and test any configuration changes in a development environment before applying them to production to ensure they work as intended.