Based on my research and CLI verification, here's how to set up an AWS work pool with credentials: 1. First, you'll need to install the AWS plugin:

bash
pip install prefect-aws

2. Create an AWS credentials block (if you haven't already):

bash
prefect block register -m prefect_aws
prefect block create aws-credentials

3. Create a work pool with the AWS ECS type:

bash
prefect work-pool create "my-aws-pool" --type ecs

4. The work pool will automatically use the AWS credentials block you've configured. You can customize the base job template to specify which credentials block to use by getting the default template first:

bash
prefect work-pool get-default-base-job-template --type ecs > aws-template.json

5. After modifying the template with your specific AWS configuration, you can update the work pool:

bash
prefect work-pool create "my-aws-pool" --base-job-template aws-template.json --overwrite

Important Notes: - Make sure you have AWS credentials configured either through environment variables, AWS CLI configuration, or a Prefect AWS credentials block - The work pool will use the default AWS credentials unless specified otherwise in the base job template - You can inspect your work pool configuration using

prefect work-pool inspect "my-aws-pool"

Would you like me to provide more details about any specific part of this process or show you the structure of the base job template?

Let me help you set this up with environment variables. Here's a step-by-step process: 1. First, save the default template:

bash
prefect work-pool get-default-base-job-template --type ecs > aws-template.json

2. Modify the template to use your environment variables. Here's an example of how to structure it (let's call it

aws-template.json

):

json
{
  "job_configuration": {
    "command": "{{ command }}",
    "env": {
      "AWS_ACCESS_KEY_ID": "${AWS_ACCESS_KEY_ID}",
      "AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}",
      "AWS_REGION": "${AWS_REGION}"
      // Add any other environment variables you need
    },
    "aws_credentials": {
      "aws_access_key_id": "${AWS_ACCESS_KEY_ID}",
      "aws_secret_access_key": "${AWS_SECRET_ACCESS_KEY}",
      "region_name": "${AWS_REGION}"
    },
    "task_definition": {
      "containerDefinitions": [
        {
          "image": "${CONTAINER_IMAGE}",
          "name": "prefect-job"
        }
      ],
      "cpu": "${ECS_CPU}",
      "family": "prefect-job",
      "memory": "${ECS_MEMORY}",
      "executionRoleArn": "${ECS_EXECUTION_ROLE_ARN}"
    },
    "task_run_request": {
      "launchType": "FARGATE",
      "cluster": "${ECS_CLUSTER}",
      "networkConfiguration": {
        "awsvpcConfiguration": {
          "subnets": ["${SUBNET_ID}"],
          "securityGroups": ["${SECURITY_GROUP_ID}"],
          "assignPublicIp": "ENABLED"
        }
      }
    },
    "vpc_id": "${VPC_ID}",
    "container_name": "prefect-job",
    "cluster": "${ECS_CLUSTER}"
  }
}

3. Create a script (let's call it

configure-workpool.sh

) that will populate the template with your .env variables:

bash
#!/bin/bash

# Load the .env file
set -a
source .env
set +a

# Use envsubst to replace environment variables in the template
envsubst < aws-template.json > aws-template-populated.json

# Create/update the work pool with the populated template
prefect work-pool create "my-aws-pool" \
  --type ecs \
  --base-job-template aws-template-populated.json \
  --overwrite

4. Make the script executable and run it:

bash
chmod +x configure-workpool.sh
./configure-workpool.sh

Your

.env

file should contain values for all the variables used in the template, for example:

env
AWS_ACCESS_KEY_ID=your_access_key
AWS_SECRET_ACCESS_KEY=your_secret_key
AWS_REGION=us-east-1
ECS_CLUSTER=your-cluster-name
ECS_CPU=256
ECS_MEMORY=512
ECS_EXECUTION_ROLE_ARN=arn:aws:iam::...
CONTAINER_IMAGE=your-container-image
VPC_ID=vpc-xxxxx
SUBNET_ID=subnet-xxxxx
SECURITY_GROUP_ID=sg-xxxxx

Important notes: - The

${VARIABLE}

syntax in the template will be replaced with actual values from your .env file - Make sure all required variables are present in your .env file - The script uses

envsubst

which is commonly available on Linux/Mac (install it if needed) - You might want to add

aws-template-populated.json

to your .gitignore since it will contain sensitive information - Adjust the CPU/memory values according to your needs - The template above is a simplified version; you might need to add more configuration based on your specific requirements Would you like me to explain any specific part in more detail or help you with specific configurations for your use case?

Based on both the CLI verification and research, here's the most straightforward way to get your block's document ID: 1. First, list your blocks to confirm the exact block type and name:

bash
prefect block ls

2. Then inspect the specific block:

bash
prefect block inspect "block-type-slug/block-name"

The output will include the block's document ID along with other metadata and configuration details. The ID will be a UUID format string. Note: If you're planning to use this programmatically, you might want to consider using the Python API instead:

python
from prefect.blocks.core import Block

block = Block.load("your-block-name")
block_id = block._block_document_id

Would you like me to show you an example with a specific block type, or do you need help finding the correct block type slug for your block?

@Marvin So i am creating it like this # Create AWS credentials block using a one-liner PREFECT_AWS_BLOCK_NAME="${RAY_CLUSTER_NAME}-aws-block" export PREFECT_AWS_BLOCK_NAME python -c "from prefect_aws.credentials import AwsCredentials; AwsCredentials(aws_access_key_id='$AWS_ACCESS_KEY_ID', aws_secret_access_key='$AWS_SECRET_ACCESS_KEY', region_name='$AWS_REGION').save('$PREFECT_AWS_BLOCK_NAME', overwrite=True)" How do I extend this to fetch and save the id in an env variable?

Ah, nice one-liner! We can extend this to capture the block ID. Here's how you can modify your command:

bash
# Create AWS credentials block and capture its ID
PREFECT_AWS_BLOCK_NAME="${RAY_CLUSTER_NAME}-aws-block"
export PREFECT_AWS_BLOCK_NAME
export PREFECT_AWS_BLOCK_ID=$(python -c "
from prefect_aws.credentials import AwsCredentials
block = AwsCredentials(
    aws_access_key_id='$AWS_ACCESS_KEY_ID',
    aws_secret_access_key='$AWS_SECRET_ACCESS_KEY',
    region_name='$AWS_REGION'
).save('$PREFECT_AWS_BLOCK_NAME', overwrite=True)
print(block._block_document_id)
")

# Optional: Verify the ID was captured
echo "AWS Block ID: $PREFECT_AWS_BLOCK_ID"

Or if you prefer to keep it as a true one-liner (though a bit less readable):

bash
export PREFECT_AWS_BLOCK_ID=$(python -c "from prefect_aws.credentials import AwsCredentials; print(AwsCredentials(aws_access_key_id='$AWS_ACCESS_KEY_ID', aws_secret_access_key='$AWS_SECRET_ACCESS_KEY', region_name='$AWS_REGION').save('$PREFECT_AWS_BLOCK_NAME', overwrite=True)._block_document_id)")

The key changes are: 1. The

.save()

method returns the block object 2. We can access the block ID via

._block_document_id

3. We use

print()

to output the ID 4. We capture the output in the environment variable using

$(command)

syntax This will create the block and store its ID in the

PREFECT_AWS_BLOCK_ID

environment variable, which you can then use in subsequent operations.

Based on the research, here's a comprehensive list of the required permissions for an ECS work pool. I'll break this down into the minimum required permissions for different aspects: 1. ECS Core Permissions:

json
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "ecs:RunTask",
                "ecs:StopTask",
                "ecs:DescribeTasks",
                "ecs:ListTasks",
                "ecs:RegisterTaskDefinition",
                "ecs:DeregisterTaskDefinition",
                "ecs:DescribeTaskDefinition",
                "ecs:ListClusters",
                "ecs:DescribeClusters"
            ],
            "Resource": "*"
        }
    ]
}

2. Network Permissions (for task networking):

json
{
    "Effect": "Allow",
    "Action": [
        "ec2:DescribeSubnets",
        "ec2:DescribeVpcs",
        "ec2:DescribeSecurityGroups",
        "ec2:DescribeNetworkInterfaces",
        "ec2:CreateNetworkInterface",
        "ec2:DeleteNetworkInterface"
    ],
    "Resource": "*"
}

3. IAM Permissions (for task execution):

json
{
    "Effect": "Allow",
    "Action": [
        "iam:PassRole"
    ],
    "Resource": [
        "arn:aws:iam::*:role/*"
    ]
}

4. CloudWatch Logs (if you want task logging):

json
{
    "Effect": "Allow",
    "Action": [
        "logs:CreateLogStream",
        "logs:PutLogEvents",
        "logs:CreateLogGroup"
    ],
    "Resource": "arn:aws:logs:*:*:*"
}

5. ECR Permissions (if using private ECR repositories):

json
{
    "Effect": "Allow",
    "Action": [
        "ecr:GetAuthorizationToken",
        "ecr:BatchCheckLayerAvailability",
        "ecr:GetDownloadUrlForLayer",
        "ecr:BatchGetImage"
    ],
    "Resource": "*"
}

To implement these permissions: 1. Create an IAM policy combining these permissions 2. Create an IAM role and attach the policy 3. Use the role's credentials in your AWS credentials block Quick-start option (not recommended for production):

python
from prefect_aws.credentials import AwsCredentials

# Using managed policies (more permissive than necessary)
aws_creds = AwsCredentials(
    aws_access_key_id='YOUR_ACCESS_KEY_ID',
    aws_secret_access_key='YOUR_SECRET_ACCESS_KEY',
    region_name='YOUR_REGION'
)
aws_creds.save("ecs-workpool-credentials", overwrite=True)

Best Practices: 1. Follow the principle of least privilege - start with minimal permissions and add as needed 2. Use separate roles for task execution and task roles 3. Consider using AWS managed policies for development but custom policies for production 4. Use resource-level permissions where possible instead of "*" 5. If using private ECR repositories, add specific repository ARNs to the ECR permissions Would you like me to provide a complete example of how to set up these permissions using AWS CLI commands or Terraform, or would you like more details about any specific permission set?

Here are the most relevant documentation links for setting up ECS work pools: 1. Core Documentation: - Prefect AWS Integration Guide - Main documentation for AWS integration - ECS Work Pool Guide - Specific guide for ECS work pools - Work Pools Concept Guide - General work pools documentation 2. AWS-Specific Documentation: - AWS ECS Task Execution Role - AWS documentation for ECS task execution roles - AWS ECS Task Role - AWS documentation for ECS task roles 3. Examples and Tutorials: - Prefect AWS Examples Repository - Contains examples and implementations - Serverless Deployment Guide - Includes ECS-specific information The ECS guide in particular (https://docs-3.prefect.io/integrations/prefect-aws/ecs_guide) will be most relevant for your needs as it covers: - Setting up AWS credentials - Configuring ECS work pools - Required permissions and roles - Best practices for deployment Would you like me to highlight any specific section from these docs, or would you like more details about a particular aspect of the setup?