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<@ULVA73B9P> how do i configure the build stage in...
# ask-marvin
d
@Marvin how do i configure the build stage in my prefect.yaml for ecr?
m
To configure the build stage in your 
prefect.yaml
file for ECR, you can follow these steps. Here's an example configuration for Prefect 2.x: 1. Create the ECR Repository: Ensure you have created an ECR repository in your AWS account. 2. Set up your 
prefect.yaml
:
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yaml
   name: ecs-worker-guide
   prefect-version: 2.14.20
   build:
     - prefect_docker.deployments.steps.build_docker_image:
         id: build_image
         requires: prefect-docker>=0.3.1
         image_name: <my-ecr-repo>
         tag: latest
         dockerfile: auto
   push:
     - prefect_docker.deployments.steps.push_docker_image:
         requires: prefect-docker>=0.3.1
         image_name: '{{ build_image.image_name }}'
         tag: '{{ build_image.tag }}'
   deployments:
     - name: my_ecs_deployment
       entrypoint: flow.py:my_flow
       work_pool:
         name: ecs-dev-pool
       job_variables:
         image: '{{ build_image.image }}'
For Prefect 3.x, the structure is quite similar: 1. Set up your 
prefect.yaml
:
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yaml
   build:
     - prefect_docker.deployments.steps.build_docker_image:
         requires: prefect-docker>=0.3.1
         image_name: my-repo/my-image
         tag: my-tag
         dockerfile: auto
         push: true
   deployments:
     - name: my_deployment
       entrypoint: flow.py:my_flow
       work_pool:
         name: my-process-work-pool
         job_variables:
           image: '{{ build_image.image }}'
In both cases, the 
build
section is used to specify how to build your Docker image, and the 
push
section details how to push that image to a remote repository (ECR in this case). The 
deployments
section configures the deployment specifics, such as the entry point for your flow and the work pool to use. Useful Links: - Prefect 2.x Build Stages: https://docs-2.prefect.io/latest/guides/prefect-deploy/ - Prefect 3.x Build Stages: https://docs-3.prefect.io/3.0/deploy/infrastructure-concepts/prefect-yaml
d
@Marvin how do i add authorization to push to me ecr repo
m
To add authorization to push to your ECR repository when configuring the build stage in your 
prefect.yaml
file, you need to ensure that AWS CLI is configured with the necessary permissions. The specific permissions required for ECR include: - 
ecr:CreateRepository
- 
ecr:DescribeRepositories
- 
ecr:GetAuthorizationToken
- 
ecr:BatchCheckLayerAvailability
- 
ecr:CompleteLayerUpload
- 
ecr:InitiateLayerUpload
- 
ecr:PutImage
- 
ecr:UploadLayerPart
To simplify permissions management, you can use the 
AmazonEC2ContainerRegistryFullAccess
managed policy, which includes the necessary permissions for working with ECR. Here are the steps and adjustments for both Prefect 2.x and 3.x: 1. Attach the Necessary Permissions: Ensure you have attached the required permissions to your AWS user or role. You can use the AWS Management Console, AWS CLI, or Infrastructure as Code (IaC) tools like CloudFormation or Terraform. Attach the following managed policies or custom policies with equivalent permissions: - 
AmazonEC2ContainerRegistryFullAccess
2. Configure AWS CLI Authentication: Ensure your environment is configured to authenticate with AWS. This typically involves setting up your 
~/.aws/credentials
file or using environment variables:
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sh
   aws configure
Alternatively, you can export the credentials as environment variables:
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sh
   export AWS_ACCESS_KEY_ID=<your_access_key_id>
   export AWS_SECRET_ACCESS_KEY=<your_secret_access_key>
3. Configure the Push Step in 
prefect.yaml
: For Prefect 2.x:
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yaml
   build:
     - prefect_docker.deployments.steps.build_docker_image:
         id: build_image
         requires: prefect-docker>=0.3.1
         image_name: <my-ecr-repo>
         tag: latest
         dockerfile: auto
   push:
     - prefect_docker.deployments.steps.push_docker_image:
         requires: prefect-docker>=0.3.1
         image_name: '{{ build_image.image_name }}'
         tag: '{{ build_image.tag }}'
         registry_url: <your_account_id>.dkr.ecr.<region>.<http://amazonaws.com|amazonaws.com>
         aws_access_key: $AWS_ACCESS_KEY_ID
         aws_secret_access_key: $AWS_SECRET_ACCESS_KEY
For Prefect 3.x:
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yaml
   build:
     - prefect_docker.deployments.steps.build_docker_image:
         requires: prefect-docker>=0.3.1
         image_name: my-repo/my-image
         tag: my-tag
         dockerfile: auto
         push: true
         registry_url: <your_account_id>.dkr.ecr.<region>.<http://amazonaws.com|amazonaws.com>
         aws_access_key: $AWS_ACCESS_KEY_ID
         aws_secret_access_key: $AWS_SECRET_ACCESS_KEY
With these settings, the 
aws_access_key
and 
aws_secret_access_key
fields ensure that your Prefect deployment has the necessary credentials to authenticate and push the Docker image to your ECR repository. Useful Links: - Prefect 2.x Authorization Guide: https://docs-2.prefect.io/latest/guides/deployment/push-work-pools/ - Prefect 3.x Authorization Guide: https://docs-3.prefect.io/integrations/prefect-aws/ecs_guide
d
@Marvin running on Prefect 3.0.3 and following your direction i recieved events = client.api.build(**build_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: BuildApiMixin.build() got an unexpected keyword argument ‘registry_url’ The above exception was the direct cause of the following exception:
m
The error you encountered suggests that the 
registry_url
keyword is not accepted by the 
BuildApiMixin.build
method in Prefect 3.x. Based on further research, you typically handle Docker registry authorization (including ECR) through environment variables or external tools rather than directly in the 
prefect.yaml
. Here are updated steps to configure pushing Docker images to ECR using Prefect 3.x without encountering the 
registry_url
issue: 1. Ensure AWS CLI and Docker Are Configured Correctly: Your AWS CLI should be configured with the appropriate credentials, and Docker should be able to use these credentials for ECR.
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sh
   aws configure
   aws ecr get-login-password --region <your-region> | docker login --username AWS --password-stdin <your-account-id>.dkr.ecr.<your-region>.<http://amazonaws.com|amazonaws.com>
2. Adjust Your 
prefect.yaml
 to Omit 
registry_url
and Utilize Environment Variables**: Prefect will rely on your local Docker configuration to access ECR.
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yaml
   build:
     - prefect_docker.deployments.steps.build_docker_image:
         requires: prefect-docker>=0.3.1
         image_name: my-repo/my-image
         tag: my-tag
         dockerfile: auto
         push: true
   deployments:
     - name: my_deployment
       entrypoint: flow.py:my_flow
       work_pool:
         name: my-process-work-pool
         job_variables:
           image: '{{ build_image.image }}'
This configuration ensures that Docker uses your pre-configured AWS credentials to build and push the Docker image to ECR. Helpful Documentation: - Prefect Docker Image Building: https://docs-3.prefect.io/3.0/deploy/infrastructure-examples/docker - AWS ECR Configuration: https://docs.aws.amazon.com/AmazonECR/latest/userguide/getting-started-cli.html
d
@Marvin what is the total list of policies that are required for a ecs prefect worker to administer a task run? The ECS worker guide seems to be missing all the requirements…
m
For a Prefect ECS worker to administer a task run effectively, you need to configure the proper IAM roles and attach the necessary policies. Here's a comprehensive list of the required policies and steps for setting up the ECS worker: ### 1. IAM Roles and Policies #### ECS Task Execution Role Policy This role allows ECS tasks to pull container images from ECR and publish logs to CloudWatch.
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sh
aws iam create-role \
  --role-name ecsTaskExecutionRole \
  --assume-role-policy-document <file://ecs-trust-policy.json>
Attach Managed Policies:
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sh
aws iam attach-role-policy \
  --role-name ecsTaskExecutionRole \
  --policy-arn arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy

aws iam attach-role-policy \
  --role-name ecsTaskExecutionRole \
  --policy-arn arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryFullAccess
#### Trust Policy (ecs-trust-policy.json)
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json
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "Service": "<http://ecs-tasks.amazonaws.com|ecs-tasks.amazonaws.com>"
      },
      "Action": "sts:AssumeRole"
    }
  ]
}
### 2. Additional Permissions for Flow Runs Depending on what your flows need to accomplish, you need additional policies. For common tasks, these are: #### Access to S3:
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json
{
  "Effect": "Allow",
  "Action": [
    "s3:ListBucket",
    "s3:GetObject",
    "s3:PutObject"
  ],
  "Resource": [
    "arn:aws:s3:::your-bucket-name",
    "arn:aws:s3:::your-bucket-name/*"
  ]
}
### 3. ECS Task Definition Create an ECS task definition that specifies the Docker image for the Prefect worker, the resources it requires, and the command it should run. #### Task Definition JSON:
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json
{
  "family": "prefect-worker-task",
  "networkMode": "awsvpc",
  "requiresCompatibilities": [
    "FARGATE"
  ],
  "cpu": "512",
  "memory": "1024",
  "executionRoleArn": "arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole",
  "taskRoleArn": "arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole",
  "containerDefinitions": [
    {
      "name": "prefect-worker",
      "image": "prefecthq/prefect:latest",
      "essential": true,
      "command": [
        "prefect",
        "worker",
        "start",
        "--pool",
        "my-ecs-pool"
      ],
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/prefect",
          "awslogs-region": "<your-region>",
          "awslogs-stream-prefix": "ecs"
        }
      }
    }
  ]
}
### Reference Documentation - ECS Worker Guide (Prefect 3.x): https://docs-3.prefect.io/integrations/prefect-aws/ecs_guide - AWS Managed Policies: AmazonECSTaskExecutionRolePolicy, AmazonEC2ContainerRegistryFullAccess This setup ensures that your ECS worker has all the necessary permissions to administer a task run in Prefect.
d
@Marvin I successfully am getting my worker to spin up a task in ecs, the task is failing. Can i turn on logging for the task in the prefect.yaml file and where can i read up more on the procedure that the worker processes is executing
m
To enable logging for your ECS tasks and understand the procedure executed by the worker, follow these steps: ### Enabling Logging for ECS Tasks #### Modify Your Task Definition: Ensure that your ECS task definition includes a 
logConfiguration
section that sends logs to CloudWatch. Here's an example:
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json
{
  "family": "prefect-worker-task",
  "networkMode": "awsvpc",
  "requiresCompatibilities": [
    "FARGATE"
  ],
  "cpu": "512",
  "memory": "1024",
  "executionRoleArn": "arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole",
  "taskRoleArn": "arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole",
  "containerDefinitions": [
    {
      "name": "prefect-worker",
      "image": "prefecthq/prefect:latest",
      "essential": true,
      "command": [
        "prefect",
        "worker",
        "start",
        "--pool",
        "my-ecs-pool"
      ],
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/prefect",
          "awslogs-region": "<your-region>",
          "awslogs-stream-prefix": "ecs"
        }
      }
    }
  ]
}
### Prefect Configuration to Enable Logging You can add environment variables to your 
prefect.yaml
to ensure that logging is enabled. Here is an example:
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yaml
deployments:
  - name: my_deployment
    entrypoint: flow.py:my_flow
    work_pool:
      name: my-ecs-pool
      job_variables:
        image: '{{ build_image.image }}'
    environment:
      PREFECT_LOGGING_LEVEL: DEBUG
      PREFECT_LOGGING_SERVER_ENABLED: "true"
### Monitoring and Accessing Logs 1. AWS CloudWatch Logs: - Navigate to the CloudWatch service in the AWS Management Console. - Select “Logs” and then find your log group (e.g., 
/ecs/prefect
). - The log streams within this log group will contain the logs from your ECS tasks. ### Understanding Worker Processes A Prefect worker in ECS is responsible for: 1. Listening for Task Runs: It subscribes to task queues from the Prefect API, waiting for new task runs. 2. Executing Task Runs: When a new task run is received, the worker spin-ups additional containers or processes to execute the task. 3. Reporting Back: After completing the task, the worker will report the status back to the Prefect API. #### Further Reading - Prefect ECS Guide: This guide provides detailed steps to set up ECS workers and includes the required policies and configuration details. - Prefect ECS Worker Guide - Prefect Deployment Docs: For a deeper dive into Prefect deployments including workers and work pools, refer to the deployment documentation. - Prefect Deployment Documentation By enabling CloudWatch logging and configuring your environment properly, you should be able to diagnose why your ECS tasks are failing. This will give you detailed insights into the execution of your tasks and help in troubleshooting.
d
@Marvin in the prefect.yaml in the pull stage
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pull:
- prefect.deployments.steps.set_working_directory:
    directory: /opt/prefect/prefect/
do i need to set the working directory to be the same as it is in the Dockerfile here
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Step 1/6 : FROM prefecthq/prefect:3.0.3-python3.11
 ---> e74b4bd49a5a
Step 2/6 : COPY requirements.txt /opt/prefect/prefect/requirements.txt
 ---> Using cache
 ---> 2224b500ad76
Step 3/6 : RUN python -m pip install -r /opt/prefect/prefect/requirements.txt
 ---> Using cache
 ---> e3935c14c152
Step 4/6 : COPY . /opt/prefect/prefect/
 ---> 4e6b6f6e4760
Step 5/6 : WORKDIR /opt/prefect/prefect/
 ---> Running in f53590b71b81
 ---> 7ec141aba2cb
Step 6/6 : LABEL io.prefect.version=3.0.3
 ---> Running in 4b641ec30ef9
 ---> 0af150f8dd4a
Successfully built 0af150f8dd4a
m
Your message was too long by 15 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:
in the prefect.yaml in the pull stage
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pull:
- prefect.deployments.steps.set_working_directory:
    directory: /opt/prefect/prefect/
do i need to set the working directory to be the same as it is in the Dockerfile here ```Step 1/6 : FROM prefecthq/prefect:3.0.3-python3.11 ---> e74b4bd49a5a Step 2/6 : COPY requirements.txt /opt/prefect/prefect/requirements.txt ---> Using cache ---> 2224b500ad76 Step 3/6 : RUN python -m pip install -r /opt/prefect/prefect/requirements.txt ---> Using cache ---> e3935c14c152 Step 4/6 : COPY . /opt/prefect/prefect/ ---> 4e6b6f6e4760 Step 5/6 : WORKDIR /opt/prefect/prefect/ ---> Running in f53590b71b81 ---> 7ec141aba2cb Step 6/6 : LABEL io.prefect.version=3.0.3 ---> Running in 4b641ec30ef9 ---> 0af150f8dd
d
@Marvin in the prefect.yaml in the pull stage
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pull:
- prefect.deployments.steps.set_working_directory:
    directory: /opt/prefect/prefect/
do i need to set the working directory to be the same as it is in the Dockerfile here
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Step 5/6 : WORKDIR /opt/prefect/prefect/
m
The 
pull
stage in your 
prefect.yaml
file and the 
WORKDIR
defined in your Dockerfile should indeed be consistent. This consistency ensures that the working directory set during the Docker image build is the same directory where Prefect will look for your files when running tasks. If in your Dockerfile you have:
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Dockerfile
WORKDIR /opt/prefect/prefect/
Then, in your 
prefect.yaml
you should also set that same directory in the 
pull
step:
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yaml
pull:
  - prefect.deployments.steps.set_working_directory:
      directory: /opt/prefect/prefect/
### Why Consistency Matters - Build Time vs. Run Time: The 
WORKDIR
command in Docker sets the working directory during the build process. Conversely, the 
pull
step in 
prefect.yaml
sets the working directory during the runtime, ensuring that any commands or scripts run by Prefect will execute in the correct context. - File Accessibility: Ensuring that both the build and runtime directories are the same helps avoid issues related to file paths, making sure that your flow has access to all the necessary files and directories expected within the container. ### Further Reading For more details on configuring the working directory and other deployment settings in Prefect, refer to the Prefect Deployment Documentation and Prefect YAML Configuration Guide. By keeping these directories consistent, you ensure that the tasks run smoothly and have access to the expected files and scripts, thus avoiding many common runtime errors.
d
@Marvin if i need my workpool ecs task to pull the ecr image that i create in my prefect.yaml file, what pull step do i use?
m
To ensure your ECS task pulls the ECR image specified in your 
prefect.yaml
file, you need to incorporate the correct steps in the 
pull
section. Here is how you can configure it: ### Example Configuration for 
prefect.yaml
#### 
build
and 
push
Steps: These steps build the Docker image and push it to ECR.
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yaml
build:
  - prefect_docker.deployments.steps.build_docker_image:
      requires: prefect-docker>=0.3.1
      image_name: <your-account-id>.dkr.ecr.<region>.<http://amazonaws.com/<my-ecr-repo|amazonaws.com/<my-ecr-repo>>
      tag: latest
      dockerfile: auto
push:
  - prefect_docker.deployments.steps.push_docker_image:
      requires: prefect-docker>=0.3.1
      image_name: '{{ build_image.image_name }}'
      tag: '{{ build_image.tag }}'
#### 
pull
Step: This step ensures that the ECS task pulls the correct image.
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yaml
deployments:
  - name: my_deployment
    entrypoint: flow.py:my_flow
    work_pool:
      name: my-ecs-pool
      job_variables:
        image: '{{ build_image.image }}:{{ build_image.tag }}'
    pull:
      - prefect.deployments.steps.set_working_directory:
          directory: /opt/prefect/prefect/
### Key Points: - Consistent Image Name and Tag: Ensure the 
image_name
and 
tag
from the 
build
and 
push
steps are correctly referenced in the 
deployments
section. - Environment Compatibility: 
{{ build_image.image }}
and 
{{ build_image.tag }}
ensure that the correct image and tag are dynamically passed to the ECS task. ### Useful Documentation: For more information, refer to the Prefect ECS Guide. By setting up your 
pull
step to reference the ECR image, your ECS tasks will pull and run the correct Docker image as defined in your build and push steps.
d
@Marvin when i use the flow.deploy() functionality for sending a ecr image to my private repo. how would I include the arn to resolve this issue:
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RegisterTaskDefinition operation: Fargate requires task definition to have execution role ARN to support ECR images.
11:00:28 AM
prefect.flow_runs.worker
m
To resolve the issue with 
RegisterTaskDefinition operation: Fargate requires task definition to have execution role ARN to support ECR images
, you need to specify the 
executionRoleArn
in your ECS task definition when deploying your flow. This includes setting the AWS IAM roles correctly. ### Steps to Include `executionRoleArn`: 1. Define the 
executionRoleArn
in Your 
prefect.yaml
: You will need to ensure that your ECS worker has the correct IAM role that allows it to execute tasks. Here's how you can adjust your configuration:
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yaml
deployments:
  - name: my_deployment
    entrypoint: flow.py:my_flow
    work_pool:
      name: my-ecs-pool
      job_variables:
        image: '{{ build_image.image }}:{{ build_image.tag }}'
        executionRoleArn: arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole
2. IAM Role for ECS Task Execution: Ensure you have created and configured the IAM role as mentioned in your AWS setup. Here's a brief reminder for setting up the IAM role:
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sh
aws iam create-role \
  --role-name ecsTaskExecutionRole \
  --assume-role-policy-document <file://ecs-trust-policy.json>

aws iam attach-role-policy \
  --role-name ecsTaskExecutionRole \
  --policy-arn arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy
### Using `flow.deploy()`: When using 
flow.deploy()
to deploy an ECR image, make sure your deployment script includes the necessary arguments for task role ARN:
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python
from prefect import flow
from prefect.deployments import Deployment
from prefect_aws.ecs import ECSTask

@flow(log_prints=True)
def my_flow(name: str = "world"):
    print(f"Hello {name}")

if __name__ == "__main__":
    ecs_task = ECSTask(
        image="<your-account-id>.dkr.ecr.<region>.<http://amazonaws.com/<my-ecr-repo>:latest|amazonaws.com/<my-ecr-repo>:latest>",
        executionRoleArn="arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole"
    )
    deployment = Deployment.build_from_flow(
        flow=my_flow,
        name="ecs-deployment",
        work_pool_name="my-ecs-pool",
        infrastructure=ecs_task
    )
    deployment.apply()
### Further Reading: For more detailed information on configuring ECS tasks and setting the 
executionRoleArn
, refer to the following resources: - Prefect ECS Guide - AWS ECS Task Definitions - AWS IAM Roles for Tasks By correctly setting the 
executionRoleArn
, your ECS tasks should be able to pull images from ECR and execute without issues.
d
@Marvin ECSTask is depreciated in Prefect 3
m
Since 
ECSTask
is deprecated in Prefect 3.x, the recommended approach is to define and manage your ECS task definitions and deployments using the appropriate YAML configuration in 
prefect.yaml
. Here’s how you can set this up to include the 
executionRoleArn
in your ECS task definition for Prefect 3.x. ### Updated 
prefect.yaml
Configuration 1. Define the ECS Task with Required Roles:
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yaml
build:
  - prefect_docker.deployments.steps.build_docker_image:
      requires: prefect-docker>=0.3.1
      image_name: <your-account-id>.dkr.ecr.<region>.<http://amazonaws.com/<my-ecr-repo|amazonaws.com/<my-ecr-repo>>
      tag: latest
      dockerfile: auto
push:
  - prefect_docker.deployments.steps.push_docker_image:
      requires: prefect-docker>=0.3.1
      image_name: '{{ build_image.image_name }}'
      tag: '{{ build_image.tag }}'

deployments:
  - name: my_deployment
    entrypoint: flow.py:my_flow
    work_pool:
      name: my-ecs-pool
      job_variables:
        image: '{{ build_image.image }}:{{ build_image.tag }}'
        executionRoleArn: arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole
    pull:
      - prefect.deployments.steps.set_working_directory:
          directory: /opt/prefect/prefect/
2. Manual ECS Task Definition JSON: Create an ECS task definition JSON that Prefect will use. This JSON should include the `executionRoleArn`:
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json
{
  "family": "prefect-worker-task",
  "networkMode": "awsvpc",
  "requiresCompatibilities": [
    "FARGATE"
  ],
  "cpu": "512",
  "memory": "1024",
  "executionRoleArn": "arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole",
  "taskRoleArn": "arn:aws:iam::<your-account-id>:role/ecsTaskRole",
  "containerDefinitions": [
    {
      "name": "prefect-worker",
      "image": "{{ build_image.image }}:{{ build_image.tag }}",
      "essential": true,
      "command": [
        "prefect",
        "worker",
        "start",
        "--pool",
        "my-ecs-pool"
      ],
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/prefect",
          "awslogs-region": "<your-region>",
          "awslogs-stream-prefix": "ecs"
        }
      }
    }
  ]
}
3. Deploy Function in Python: If you prefer to deploy using Python directly, you can use the 
prefect.deployments.Deployment
class:
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python
from prefect import flow
from prefect.deployments import Deployment

@flow
def my_flow(name: str = "world"):
    print(f"Hello {name}")

deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="ecs-deployment",
    work_pool_name="my-ecs-pool",
    parameters={
        "executionRoleArn": "arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole"
    }
)

deployment.apply()
### Useful Documentation Refer to the following links for more specific details: - Prefect ECS Guide: https://docs-3.prefect.io/integrations/prefect-aws/ecs_guide - Prefect Deployment Overview: https://docs-3.prefect.io/3.0/deploy/ By updating the 
prefect.yaml
to include the 
executionRoleArn
and ensuring that your ECS task definition JSON includes this role, your ECS tasks should be able to pull the ECR images and execute without issues.
d
@Marvin im using prefect 3, my deployment config
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deployments:

- name: healthcheck
  entrypoint: healthcheck.py:healthcheck
  work_pool:
    name: everglade-dev-workpool
    job_variables:
        image: '{{ build_image.image }}:{{ build_image.tag }}'
        cluster: "mycluster"
  schedules: []
  enforce_parameter_schema: true
why am i getting this issue
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File "/usr/local/lib/python3.12/site-packages/prefect_aws/workers/ecs_worker.py", line 1023, in _register_task_definition
    response = ecs_client.register_task_definition(**task_definition)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/botocore/client.py", line 569, in _api_call
    return self._make_api_call(operation_name, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/botocore/client.py", line 1023, in _make_api_call
    raise error_class(parsed_response, operation_name)
botocore.errorfactory.ClientException: An error occurred (ClientException) when calling the RegisterTaskDefinition operation: Fargate requires task definition to have execution role ARN to support ECR images.
m
The error you are encountering occurs because your ECS task definition requires an 
executionRoleArn
to support ECR images when using Fargate. To resolve this issue, you need to include the 
executionRoleArn
in your deployment configuration. ### Updated Deployment Configuration in 
prefect.yaml
Modify your deployment configuration to include the 
executionRoleArn
in the 
job_variables
section under your work pool definition:
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yaml
deployments:
  - name: healthcheck
    entrypoint: healthcheck.py:healthcheck
    work_pool:
      name: everglade-dev-workpool
      job_variables:
        image: '{{ build_image.image }}:{{ build_image.tag }}'
        cluster: "mycluster"
        executionRoleArn: "arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole"
    schedules: []
    enforce_parameter_schema: true
### Steps to Create the Required IAM Role: Ensure that you have created the IAM role for ECS task execution as follows: 1. Create a Trust Policy (ecs-trust-policy.json):
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json
   {
     "Version": "2012-10-17",
     "Statement": [
       {
         "Effect": "Allow",
         "Principal": {
           "Service": "<http://ecs-tasks.amazonaws.com|ecs-tasks.amazonaws.com>"
         },
         "Action": "sts:AssumeRole"
       }
     ]
   }
2. Create the IAM Role and Attach Policies:
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sh
   aws iam create-role \
     --role-name ecsTaskExecutionRole \
     --assume-role-policy-document <file://ecs-trust-policy.json>

   aws iam attach-role-policy \
     --role-name ecsTaskExecutionRole \
     --policy-arn arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy

   aws iam attach-role-policy \
     --role-name ecsTaskExecutionRole \
     --policy-arn arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryFullAccess
### Reference Guides: For more detailed guidance, refer to: - Prefect ECS Guide: Prefect ECS Worker Guide - AWS ECS IAM Roles: AWS ECS Task Execution IAM Role By including the 
executionRoleArn
in your 
prefect.yaml
, your ECS tasks will have the necessary permissions to pull the ECR image and execute successfully.
d
@Marvin Instead of manually configuring my ecs worker with the UI, how can i configure it from the client or the prefect.yaml? Using prefect 3
m
To configure your ECS worker from the client or 
prefect.yaml
instead of using the UI, you can follow these steps. Here’s how to set this up in Prefect 3.x: ### Using 
prefect.yaml
to Configure the ECS Worker 1. Create an ECS Work Pool from the CLI: First, create an ECS work pool using the Prefect CLI:
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sh
   prefect work-pool create --type ecs my-ecs-pool
2. Configure Your 
prefect.yaml
: Update your 
prefect.yaml
file to include the necessary ECS configurations, including the 
executionRoleArn
.
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yaml
build:
  - prefect_docker.deployments.steps.build_docker_image:
      requires: prefect-docker>=0.3.1
      image_name: <your-account-id>.dkr.ecr.<region>.<http://amazonaws.com/<my-ecr-repo|amazonaws.com/<my-ecr-repo>>
      tag: latest
      dockerfile: auto
push:
  - prefect_docker.deployments.steps.push_docker_image:
      requires: prefect-docker>=0.3.1
      image_name: '{{ build_image.image_name }}'
      tag: '{{ build_image.tag }}'

deployments:
  - name: healthcheck
    entrypoint: healthcheck.py:healthcheck
    work_pool:
      name: my-ecs-pool
      job_variables:
        image: '{{ build_image.image }}:{{ build_image.tag }}'
        cluster: "mycluster"
        executionRoleArn: "arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole"
    schedules: []
    enforce_parameter_schema: true
3. Define the ECS Task Definition JSON: Create an ECS task definition JSON file that includes configuration for the task execution role.
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json
{
  "family": "prefect-worker-task",
  "networkMode": "awsvpc",
  "requiresCompatibilities": [
    "FARGATE"
  ],
  "cpu": "512",
  "memory": "1024",
  "executionRoleArn": "arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole",
  "taskRoleArn": "arn:aws:iam::<your-account-id>:role/ecsTaskRole",
  "containerDefinitions": [
    {
      "name": "prefect-worker",
      "image": "{{ build_image.image }}:{{ build_image.tag }}",
      "essential": true,
      "command": [
        "prefect",
        "worker",
        "start",
        "--pool",
        "my-ecs-pool"
      ],
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/prefect",
          "awslogs-region": "<your-region>",
          "awslogs-stream-prefix": "ecs"
        }
      }
    }
  ]
}
4. Deploy Using Prefect CLI or Python Client: Deploy your flow using either the Prefect CLI or the Python client. ### Using Prefect Python Client If you prefer to configure the ECS worker and deploy using the Python client, here’s how: 1. Install Prefect and Prefect AWS:
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sh
   pip install prefect prefect-aws
2. Deploy Script: Use the Prefect Python client to configure and deploy the ECS worker.
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python
from prefect import flow
from prefect.deployments import Deployment
from prefect_aws.ecs import ECSTask

@flow
def healthcheck():
    print("Running healthcheck...")

# Define ECS Task with executionRoleArn
ecs_task_definition = ECSTask(
    image="<your-account-id>.dkr.ecr.<region>.<http://amazonaws.com/<my-ecr-repo>:latest|amazonaws.com/<my-ecr-repo>:latest>",
    executionRoleArn="arn:aws:iam::<your-account-id>:role/ecsTaskExecutionRole",
    cluster="mycluster"
)

# Create Deployment
deployment = Deployment.build_from_flow(
    flow=healthcheck,
    name="healthcheck",
    infrastructure=ecs_task_definition,
    work_pool_name="my-ecs-pool"
)

if __name__ == "__main__":
    deployment.apply()
### Reference Guides: For more detailed guidance, you can refer to: - Prefect ECS Guide: Prefect ECS Worker Guide - Prefect Deployment Documentation: Prefect Deployment By following these steps, you can configure your ECS worker directly from the 
prefect.yaml
file or the Python client, avoiding the need for manual setup through the UI.
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