Hi there! How would I mount an efs volume into a ...
# ask-community
a
Hi there! How would I mount an efs volume into a
@flow
that runs in as an ecs task. Marvin bot wasn't helpful. My job variables looks something like follows at the moment. I can see in the codebase they use task_definition and container_definition, but couldn't find appropriate way to where these variables would go.
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flow.deploy(
  ...
  , job_variables={
            "cpu": 1024*8,
            "memory": 2048*8,
            "execution_role_arn": arn
            "vpc_id": vpc,
            "cluster": "prefect-worker",  # FIXME
            "configure_cloudwatch_logs": True,
            "cloudwatch_logs_options": {
                "awslogs-create-group": "true",
                "awslogs-group": "prefect-worker", 
            },
            "cloudwatch_logs_prefix": "mesh-log",
            "network_configuration": {...}
  }
)
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I added the following into my job_variables, but these do not get registered in the
ecs task definitions
on the aws side.
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"job_variables": {
      ...,
      "task_definition": {
                "volumes": [
                    {
                        "name": "efs-volume",
                        "efsVolumeConfiguration": {
                            "fileSystemId": "fs-01c96a434f8895d5e",
                            "rootDirectory": "/",
                        }
                    }
                ],
                "containerDefinitions": [
                    {
                        "mountPoints": [
                            {
                                "sourceVolume": "efs-volume",
                                "containerPath": "/app/data/",
                                "readOnly": False
                            }
                        ]
                    }
                ]
            }
    }
@Marvin how to add
task_definition
into prefect-aws flow.deploy() function call.
m
✅ thought for 74.7 seconds
Based on the research, I need to clarify something important: In Prefect 3.x, the task definition configuration for AWS ECS is not directly added to the
flow.deploy()
function. Instead, you need to: 1. First create and configure your ECS task definition in AWS 2. Use that pre-configured task definition when setting up your ECS infrastructure The recommended approach is: 1. Create your task definition in AWS (via AWS Console or AWS CLI) 2. Set up your ECS infrastructure with the appropriate roles and permissions 3. Deploy your flow using Prefect's deployment mechanisms Here's a basic example of how the deployment would look:
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python
from prefect import flow

@flow
def my_flow():
    # your flow code here
    pass

if __name__ == "__main__":
    my_flow.deploy(
        name="my-aws-flow",
        work_pool_name="my-ecs-pool",  # Your ECS work pool
        # The task definition is configured in the work pool, not here
    )
The task definition itself should be configured when you create your ECS work pool in AWS. You can find detailed instructions for setting up ECS infrastructure in the Prefect AWS ECS guide. Let me know if you'd like more specific information about: 1. Setting up the ECS task definition in AWS 2. Configuring the ECS work pool in Prefect 3. Any other aspects of AWS ECS deployment with Prefect Also, are you currently using Prefect 2.x or 3.x? This might affect the specific guidance I can provide.
j
Hey, so if you take a look at your work pool template (the advanced section on the edit work pool page) you'll see two parts, variables and configuration. The only fields that are available to be templated into the config are setup as variables. (this is what you're allowed to "overide" in a deployment) You'll have to add the container definitions as a variable yourself, as it's not a "basic" field, so not automatically there. You can also just hardcode into the work pool base job template if you want it on all of your jobs.
🙌 1
heres where you'd add something to see it pop up in the task definition prefect registers for you:
a
Ah, thanks for this! I was looking for this info. I could see it in the codebase, but I could not figure how I would add to the configuration.
But if I wanted to
track the changes
with git, there's no way? Hard-coding one time seems okay, but if I wanted to recreate the same workpool config again?
j
It depends how you're managing the work pool right now? The prefect cli supports passing a full base job template file on work pool creation/update.
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prefect work-pool update <name of workpool> --base-job-template <path/to/file.json>
like I said not sure how you're managing the work pool in the first place but could definitely have a GHA that creates/updates that on merge etc.
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a
Thanks @Jake Kaplan. It worked great! Couldn't have done without you.
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