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# marvin-in-the-wild
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m
Error messages related to 
ResourceInitializationError
and issues pulling registry auth from Amazon ECR usually point to problems with IAM roles, permissions, or the configuration required to pull images. ### Key Resources: 1. For Prefect 2.x: - Prefect ECS Worker Setup Guide - Push working to ECS requires appropriate AWS credentials and permissions: ensure the 
AmazonECS_FullAccess
policy is attached, and necessary credentials are stored securely. 2. For Prefect 3.x: - Prefect ECS Worker Setup Guide - Make sure the ECS task definition includes the correct 
executionRoleArn
and 
taskRoleArn
. Attach the necessary policies, such as 
AmazonECSTaskExecutionRolePolicy
. ### Steps to Resolve: 1. Check IAM Roles and Permissions: - Ensure that the IAM role specified in 
executionRoleArn
has the 
AmazonECSTaskExecutionRolePolicy
attached. This allows ECS tasks to pull images from ECR and access other AWS resources. 2. Verify Work Pool Configuration: - Ensure that the ECS worker configuration in the work pool is correctly set to use the appropriate IAM roles and policies. 3. Review Deployment YAML: - Review your deployment YAML file to ensure that the image, task definition, and required roles are correctly specified. If you are still encountering issues, focus on confirming that you have set up the IAM roles and ECR permissions correctly as documented in the Prefect ECS guides. For specific Prefect version guidance, please refer to: - Prefect 2.x documentation: ECS Worker Guide - Prefect 3.x documentation: ECS Worker Guide If you need further assistance with your specific configuration or additional details, feel free to share more context!
p
@Marvin IAM roles and work pool are configured as described. Could you provide example prefect.yaml file where the image, task definition and roles are specified.
m
Sure! Below is an example of a 
prefect.yaml
configuration for deploying a flow with ECS, including the image, task definition, and IAM roles.
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yaml
name: ecs-worker-guide
prefect-version: 2.14.20

# Build section to manage and build Docker images
build:
  - prefect_docker.deployments.steps.build_docker_image:
      id: build_image
      requires: prefect-docker>=0.3.1
      image_name: my-ecr-repo/my-image
      tag: latest
      dockerfile: auto

# Push section to upload the built Docker image to ECR
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 section to define ECS deployment configuration
deployments:
  - name: my_ecs_deployment
    version: '2'
    tags: []
    description: My ECS Deployment
    entrypoint: flow.py:my_flow
    parameters: {}
    work_pool:
      name: ecs-dev-pool  # Name of the ECS work pool
      work_queue_name: default
      job_variables:
        image: '{{ build_image.image }}'
        task_definition:
          family: prefect-worker-task
          networkMode: awsvpc
          requiresCompatibilities:
            - FARGATE
          cpu: '512'
          memory: '1024'
          executionRoleArn: arn:aws:iam::<account-id>:role/<ecs-task-execution-role>
          taskRoleArn: arn:aws:iam::<account-id>:role/<ecs-task-role>
          containerDefinitions:
            - name: prefect-worker
              image: '{{ build_image.image }}:{{ build_image.tag }}'
              essential: true
              logConfiguration:
                logDriver: awslogs
                options:
                  awslogs-group: /ecs/prefect
                  awslogs-region: <region>
                  awslogs-stream-prefix: ecs
  schedules: []

# Pull section to set the working directory
pull:
  - prefect.deployments.steps.set_working_directory:
      directory: /opt/prefect/
### Key Points: - ECR Repository: 
my-ecr-repo/my-image
- IAM Roles: Replace 
<account-id>
and 
<ecs-task-execution-role>
/ 
<ecs-task-role>
with actual IAM role ARNs. - Work Pool: Ensure the work pool name matches the one configured in ECS. - Log Configuration: Amazon CloudWatch for logging. Links: - Prefect 2.x ECS Worker Guide: Prefect ECS Worker Guide Feel free to adjust the configurations based on your specific setup! If you encounter any further issues, just let me know.
p
@Marvin, I was able to edit my work pool configuration in the UI, but now when I try to edit I see only Base Job Template. Why isthat
m
It appears there have been some recent issues with editing work pool configurations, especially related to the Base Job Template: 1. The job variables and overrides often require manual adjustment in the advanced section of the work pool template. 2. There are known bugs where removing values from certain fields can cause errors, preventing you from saving changes. ### GitHub Issues: - Known issues with custom images and manual JSON editing: GitHub Issue #13255 - Errors when editing object fields: GitHub Issue #11221 To work around this, you might have to manually edit the base job template in JSON format within the advanced tab. Here is a simple step-by-step guide: 1. Access the Work Pool: - Navigate to your work pool in the Prefect UI. 2. Edit Advanced Configuration: - Click the 
Advanced
tab to manually adjust the JSON configuration of the base job template. 3. Example JSON Configuration:
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json
   {
     "family": "prefect-worker-task",
     "networkMode": "awsvpc",
     "requiresCompatibilities": ["FARGATE"],
     "cpu": "512",
     "memory": "1024",
     "executionRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-execution-role>",
     "taskRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-role>",
     "containerDefinitions": [
       {
         "name": "prefect-worker",
         "image": "{{ image }}",
         "essential": true,
         "logConfiguration": {
           "logDriver": "awslogs",
           "options": {
             "awslogs-group": "/ecs/prefect",
             "awslogs-region": "<region>",
             "awslogs-stream-prefix": "ecs"
           }
         }
       }
     ]
   }
4. Save Changes: - Ensure the configurations align with your IAM roles and settings. Save the changes. If you continue to encounter issues or believe this behavior is a bug, report it with your Prefect version and detailed reproduction steps on the Prefect GitHub issues page. For further details on configuring ECS with Prefect, refer to the Prefect ECS Worker Guide.
p
@Marvin,there is no advanced tab in my UI
m
It seems like there may be a limitation or a different configuration in your Prefect UI version. Here are alternative ways to manage or update the base job template for your work pool if the advanced tab is not available: ### Alternative Ways: 1. Direct API Call (via Prefect Client) 2. CLI Commands ### 1. Direct API Call (via Prefect Client) You can use the Prefect Python client to directly update the configuration. #### Example Script:
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python
import prefect
from prefect.client import get_client

# Initialize Prefect client
client = get_client()

# Specify the work pool name
work_pool_name = 'ecs-dev-pool'

# Define the new job template configuration
new_job_template = {
    "family": "prefect-worker-task",
    "networkMode": "awsvpc",
    "requiresCompatibilities": ["FARGATE"],
    "cpu": "512",
    "memory": "1024",
    "executionRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-execution-role>",
    "taskRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-role>",
    "containerDefinitions": [
        {
            "name": "prefect-worker",
            "image": "{{ image }}",
            "essential": true,
            "logConfiguration": {
                "logDriver": "awslogs",
                "options": {
                    "awslogs-group": "/ecs/prefect",
                    "awslogs-region": "<region>",
                    "awslogs-stream-prefix": "ecs"
                }
            }
        }
    ]
}

# Update the job template
result = client.update_work_pool(
    name=work_pool_name,
    job_template=new_job_template
)

print(f"Update Result: {result}")
### 2. CLI Commands You can use the Prefect CLI to manage work pools and job templates. #### Update Work Pool Use CLI commands to update or configure work pools.
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sh
# Example CLI command to update ECS work pool with desired configurations
prefect work-pool update ecs-dev-pool --job_template_json '{
  "family": "prefect-worker-task",
  "networkMode": "awsvpc",
  "requiresCompatibilities": ["FARGATE"],
  "cpu": "512",
  "memory": "1024",
  "executionRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-execution-role>",
  "taskRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-role>",
  "containerDefinitions": [
    {
      "name": "prefect-worker",
      "image": "{{ image }}",
      "essential": true,
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/prefect",
          "awslogs-region": "<region>",
          "awslogs-stream-prefix": "ecs"
        }
      }
    }
  ]
}'
### Links for Detailed Guidance: For further guidance on using the Prefect Client and Prefect CLI, refer to: - Prefect 2.x Documentation: Prefect Client - Prefect CLI Documentation: Prefect CLI If you face any issues or need specific adjustments, feel free to ask!
p
@Marvin,I am creating a new workpool and I want it to use ECS cluster which is in the vpc. What should I put in the network_configuration?
m
To configure a Prefect work pool to use an ECS cluster within a VPC, you'll need to specify the 
networkConfiguration
section correctly. This includes indicating the subnets and security groups within your VPC. ### Example Configuration for `networkConfiguration`: Here's an example 
prefect.yaml
that includes the necessary 
networkConfiguration
details:
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yaml
name: ecs-worker-guide
prefect-version: 2.14.20

# Build section to manage and build Docker images
build:
  - prefect_docker.deployments.steps.build_docker_image:
      id: build_image
      requires: prefect-docker>=0.3.1
      image_name: my-ecr-repo/my-image
      tag: latest
      dockerfile: auto

# Push section to upload the built Docker image to ECR
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 section to define ECS deployment configuration
deployments:
  - name: my_ecs_deployment
    version: '2'
    tags: []
    description: My ECS Deployment
    entrypoint: flow.py:my_flow
    parameters: {}
    work_pool:
      name: ecs-dev-pool
      work_queue_name: default
      job_variables:
        image: '{{ build_image.image }}'
        task_definition:
          family: prefect-worker-task
          networkMode: awsvpc
          requiresCompatibilities:
            - FARGATE
          cpu: '512'
          memory: '1024'
          executionRoleArn: arn:aws:iam::<account-id>:role/<ecs-task-execution-role>
          taskRoleArn: arn:aws:iam::<account-id>:role/<ecs-task-role>
          networkConfiguration:
            awsvpcConfiguration:
              subnets:
                - subnet-0123456789abcdef0  # Replace with your VPC subnets
                - subnet-0fedcba9876543210
              securityGroups:
                - sg-0123456789abcdef0      # Replace with your security group ID
              assignPublicIp: ENABLED       # or DISABLED based on your VPC setup
          containerDefinitions:
            - name: prefect-worker
              image: '{{ build_image.image }}:{{ build_image.tag }}'
              essential: true
              logConfiguration:
                logDriver: awslogs
                options:
                  awslogs-group: /ecs/prefect
                  awslogs-region: <region>
                  awslogs-stream-prefix: ecs
  schedules: []

# Pull section to set the working directory
pull:
  - prefect.deployments.steps.set_working_directory:
      directory: /opt/prefect/
### Key Points: - Subnets: Replace with the actual subnet IDs within your VPC. - Security Groups: Replace with the actual security group ID(s) that your ECS tasks should use. - AssignPublicIp: Set to 
ENABLED
or 
DISABLED
based on whether your tasks need public IP addresses. ### Additional Resources: - Prefect 2.x ECS Worker Guide: ECS Worker Guide - AWS ECS Documentation: ECS Task Networking By ensuring that the 
networkConfiguration
is correctly specified, you can enable the ECS tasks to run within the desired VPC configuration effectively. If you need more specific adjustments or run into issues, feel free to ask!
p
@Marvin,is it possible to do this in the work pool configuration? So we don't have to do it in the task definition (I.e. prefect.yaml file) ?
m
Yes, you can configure the 
networkConfiguration
directly in the work pool configuration to avoid specifying it in each individual task definition (
prefect.yaml
file). This allows for more centralized management of your ECS cluster setup. ### Example Work Pool Configuration When creating or updating your ECS work pool, you can specify the 
networkConfiguration
as part of the base job template. #### Using the Prefect UI (If Available) If your Prefect UI allows editing the base job template (sometimes found under the Advanced tab), you can specify the 
networkConfiguration
directly within this template. #### Using Prefect CLI or Python Client You can also use the Prefect CLI or Python Client to configure this directly. ### Example JSON Configuration: This example demonstrates how you can update the work pool job template with the necessary network configuration. #### Using Prefect CLI:
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sh
# Example CLI command to update ECS work pool with desired configurations
prefect work-pool update ecs-dev-pool --job_template_json '{
  "family": "prefect-worker-task",
  "networkMode": "awsvpc",
  "requiresCompatibilities": ["FARGATE"],
  "cpu": "512",
  "memory": "1024",
  "executionRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-execution-role>",
  "taskRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-role>",
  "networkConfiguration": {
    "awsvpcConfiguration": {
      "subnets": ["subnet-0123456789abcdef0", "subnet-0fedcba9876543210"],
      "securityGroups": ["sg-0123456789abcdef0"],
      "assignPublicIp": "ENABLED"
    }
  },
  "containerDefinitions": [
    {
      "name": "prefect-worker",
      "image": "{{ image }}",
      "essential": true,
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/prefect",
          "awslogs-region": "<region>",
          "awslogs-stream-prefix": "ecs"
        }
      }
    }
  ]
}'
#### Using Prefect Python Client:
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python
import prefect
from prefect.client import get_client

# Initialize Prefect client
client = get_client()

# Specify the work pool name
work_pool_name = 'ecs-dev-pool'

# Define the new job template configuration
new_job_template = {
    "family": "prefect-worker-task",
    "networkMode": "awsvpc",
    "requiresCompatibilities": ["FARGATE"],
    "cpu": "512",
    "memory": "1024",
    "executionRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-execution-role>",
    "taskRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-role>",
    "networkConfiguration": {
        "awsvpcConfiguration": {
            "subnets": ["subnet-0123456789abcdef0", "subnet-0fedcba9876543210"],
            "securityGroups": ["sg-0123456789abcdef0"],
            "assignPublicIp": "ENABLED"
        }
    },
    "containerDefinitions": [
        {
            "name": "prefect-worker",
            "image": "{{ image }}",
            "essential": true,
            "logConfiguration": {
                "logDriver": "awslogs",
                "options": {
                    "awslogs-group": "/ecs/prefect",
                    "awslogs-region": "<region>",
                    "awslogs-stream-prefix": "ecs"
                }
            }
        }
    ]
}

# Update the job template for the work pool
result = client.update_work_pool(
    name=work_pool_name,
    job_template=new_job_template
)

print(f"Update Result: {result}")
### Key Points: - Subnets: Replace with the actual subnet IDs within your VPC. - Security Groups: Replace with the actual security group ID(s) that your ECS tasks should use. - AssignPublicIp: Set to 
ENABLED
or 
DISABLED
based on whether your tasks need public IP addresses. This approach centralizes the configuration, making your deployments cleaner and reducing the need for redundancy in each 
prefect.yaml
file.
p
@Marvin, Explain the relationship between specifying network configuration: 1. in my ecs cluster, 2. in my work pool configuration 3. in my deployment configuration (prefect.yaml file). What will override what?
m
Understanding where to specify network configurations for ECS tasks and how they interact is crucial for maintaining a clear and functional setup. Let's break down the hierarchy and relationship among network configurations specified in your ECS cluster, work pool configuration, and deployment configuration (prefect.yaml file). ### 1. ECS Cluster Configuration: - Definition: This is the base level configuration and defines the network settings at the cluster level. - Components: Includes VPC, subnets, and security groups associated with the ECS cluster. - Impact: Determines the general network environment where ECS tasks are run. All ECS services and tasks within this cluster inherit the cluster's network settings as their defaults unless overridden. ### 2. Work Pool Configuration: - Definition: Manages the default settings for the jobs managed by the work pool in Prefect. - Components: Includes network configuration, IAM roles, task definitions, resource specifications, etc. - Impact: Configurations specified here serve as the default for all tasks and deployments running through this work pool. They override the ECS cluster's general settings but can themselves be overridden at the deployment level. - Best Use: Use to centrally manage settings that should apply to multiple tasks or deployments. ### 3. Deployment Configuration (prefect.yaml file): - Definition: Defines task-specific configurations that can override settings from the work pool. - Components: Includes specific network configurations, resources (CPU, memory), IAM roles, and more. - Impact: Settings specified here will override both the work pool and ECS cluster configurations. This allows for tailored configurations for specific deployments or flow runs. - Best Use: Use for specific overrides that pertain to individual flows, such as unique subnets, security groups, or resource requirements. ### Hierarchical Override: Here's how the settings are applied in order of precedence: 1. Deployment Configuration (prefect.yaml file): This has the highest precedence. 2. Work Pool Configuration: This serves as a fallback to the deployment configuration. 3. ECS Cluster Configuration: This provides the base settings that apply if not overridden by the above layers. ### Example Scenarios: - Scenario 1: If you specify a subnet in the ECS cluster configuration, a different subnet in the work pool, and yet another subnet in the 
prefect.yaml
file, the subnet specified in the 
prefect.yaml
file will be used. - Scenario 2: If the 
prefect.yaml
file does not specify a subnet but the work pool configuration does, the subnet from the work pool configuration will be used. - Scenario 3: If neither the 
prefect.yaml
file nor the work pool configuration specifies a subnet, the ECS cluster's default subnet configuration is used. ### Practical Implementation: #### ECS Cluster: - Default VPC and subnets - General security groups #### Work Pool Configuration:
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json
{
  "family": "prefect-worker-task",
  "networkMode": "awsvpc",
  "requiresCompatibilities": ["FARGATE"],
  "cpu": "512",
  "memory": "1024",
  "executionRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-execution-role>",
  "taskRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-role>",
  "networkConfiguration": {
    "awsvpcConfiguration": {
      "subnets": ["subnet-abcdef0123456789"],
      "securityGroups": ["sg-abcdef0123456789"],
      "assignPublicIp": "ENABLED"
    }
  },
  "containerDefinitions": [
    {
      "name": "prefect-worker",
      "image": "{{ image }}",
      "essential": true,
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/prefect",
          "awslogs-region": "<region>",
          "awslogs-stream-prefix": "ecs"
        }
      }
    }
  ]
}
#### Deployment Configuration (prefect.yaml file): ```yaml deployments: - name: my_ecs_deployment work_pool: name: ecs-dev-pool
job_variables: networkConfiguration: awsvpcConfiguration: subnets: ["subnet-0123456789abcdef0"] securityGroups: ["sg-0123456789abcdef0"] assignPublicIp: "DISABLED" ``` By organizing your configurations this way, you achieve a clear and hierarchical management process where more specific settings can appropriately override general settings.
p
@Marvin If I don't define image in my prefect.yaml file. Will it use the one defined in the work pool?
m
Yes, if you do not define the image in your 
prefect.yaml
file, the image specified in the work pool configuration will be used. This follows the hierarchical override approach where settings defined at the deployment level (
prefect.yaml
file) take precedence. If such settings are not defined, the configurations from the work pool are applied. ### Hierarchy of Configuration 1. Deployment Configuration (prefect.yaml file): Highest precedence 2. Work Pool Configuration: Default settings for all tasks and deployments running through this work pool 3. ECS Cluster Configuration: Base settings ### Example Scenarios: #### Work Pool Configuration: The work pool has a base job template with an image specified:
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json
{
  "family": "prefect-worker-task",
  "networkMode": "awsvpc",
  "requiresCompatibilities": ["FARGATE"],
  "cpu": "512",
  "memory": "1024",
  "executionRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-execution-role>",
  "taskRoleArn": "arn:aws:iam::<account-id>:role/<ecs-task-role>",
  "containerDefinitions": [
    {
      "name": "prefect-worker",
      "image": "my-ecr-repo/my-default-image:latest",  # Default image here
      "essential": true,
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/prefect",
          "awslogs-region": "<region>",
          "awslogs-stream-prefix": "ecs"
        }
      }
    }
  ]
}
#### Deployment Configuration (prefect.yaml file):
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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
      # No image specified here

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
    version: '2'
    tags: []
    description: My ECS Deployment
    entrypoint: flow.py:my_flow
    parameters: {}
    work_pool:
      name: ecs-dev-pool  # Use the work pool's configuration
      job_variables:
        # No image specified in job variables
        networkConfiguration:
          awsvpcConfiguration:
            subnets: ["subnet-0123456789abcdef0"]
            securityGroups: ["sg-0123456789abcdef0"]
            assignPublicIp: "ENABLED"
  schedules: []

pull:
  - prefect.deployments.steps.set_working_directory:
      directory: /opt/prefect/
### Outcome: - Since the 
prefect.yaml
file doesn't define an image, the work pool's image (
my-ecr-repo/my-default-image:latest
) will be used for the ECS tasks initiated by this deployment. ### Summary: - Deployment Configuration (prefect.yaml file): Takes precedence if specified. - Work Pool Configuration: Used if not overridden by the deployment configuration. - Ensures consistency with default settings while allowing flexibility for specific overrides when needed. This centralized management reduces redundancy and ensures that default settings from the work pool are consistently applied unless explicitly overridden in the deployment configuration.
p
@Marvin How to set up from where to pull the code
m
To set up where to pull the code from in your Prefect deployment, you can use git-based storage solutions like GitHub, GitLab, or Bitbucket. Below are the steps to configure your deployment to pull code from a git repository. ### Steps to Pull Code from a Git Repository: 1. Install Required Libraries: Make sure the necessary Prefect libraries are installed for accessing your chosen git platform.
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sh
   pip install -U prefect-github
   pip install -U prefect-bitbucket
   pip install -U prefect-gitlab
2. Register the Git Block: Register the required git block with Prefect to make it available on the server.
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sh
   prefect block register -m prefect_github
   prefect block register -m prefect_bitbucket
   prefect block register -m prefect_gitlab
3. Create a Credentials Block: Create a credentials block via code or the Prefect UI for the chosen git platform. 4. Example Configuration in 
prefect.yaml
: Below is how you can configure the 
prefect.yaml
file to pull code from a GitHub repository. #### Define Your Git-Based Storage:
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yaml
name: ecs-worker-guide
prefect-version: 2.14.20

# Build section to manage and build Docker images
build:
  - prefect_docker.deployments.steps.build_docker_image:
      id: build_image
      requires: prefect-docker>=0.3.1
      image_name: my-ecr-repo/my-image
      tag: latest
      dockerfile: auto

# Push section to upload the built Docker image to ECR
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 section to define ECS deployment configuration
deployments:
  - name: my_ecs_deployment
    version: '2'
    tags: []
    description: My ECS Deployment
    entrypoint: flow.py:my_flow
    parameters: {}
    work_pool:
      name: ecs-dev-pool
      job_variables:
        image: '{{ build_image.image }}'
        networkConfiguration:
          awsvpcConfiguration:
            subnets: ["subnet-0123456789abcdef0"]
            securityGroups: ["sg-0123456789abcdef0"]
            assignPublicIp: "ENABLED"

    pull:
      - prefect.deployments.steps.git_clone:
          repository: <https://github.com/org/my-private-repo.git>
          credentials: "{{ prefect.blocks.github-credentials.my-block-name }}"  # Use your credentials block name

  schedules: []

# Pull section to set the working directory
pull:
  - prefect.deployments.steps.set_working_directory:
      directory: /opt/prefect/
### Key Points: - Repository URL: The URL of your git repository (GitHub, GitLab, Bitbucket). - Credentials Block: Reference to the credentials block that stores your git authentication details. - Workflow: - Build: Defines how to build Docker images if required. - Push: Defines how to push Docker images to a repository. - Deployments: The main section defining the deployment, including work pool configuration, image, and code source (pull section). ### Detailed Documentation: For more details and advanced configurations, refer to the Prefect documentation: - Prefect Deployment Storage Guide This setup ensures that your Prefect deployment will automatically pull the latest code from the specified git repository whenever it runs.
p
@Marvin, I have an image in my ecr repo which contains baked code in the Image. WHy do I need to define the pull step? And what it should be?
m
If your Docker image in the ECR repository already contains the baked code, you do not necessarily need to use the 
pull
step to clone or fetch code during the deployment. The baked code within your Docker image will be used when the container is started. ### Understanding the Pull Step: The 
pull
step is typically used to fetch the latest code from a repository when you are not embedding your code directly into the Docker image. Since your image already has the code baked in, specifying a 
pull
step to fetch code from a repository is redundant. ### Simplified Deployment Configuration: Since your image contains the baked code, your 
prefect.yaml
can omit the 
pull
step related to fetching code from a git repository. The main elements you'll focus on are the Docker image configuration, the work pool settings, and any environment variables or parameters needed for your flow. ### Example Configuration (
prefect.yaml
): Here's an example of a streamlined 
prefect.yaml
for your scenario:
Copy code
yaml
name: ecs-worker-guide
prefect-version: 2.14.20

# Since the image already has the code baked in, no build or push steps required
deployments:
  - name: my_ecs_deployment
    version: '2'
    tags: []
    description: My ECS Deployment with Baked Code
    entrypoint: flow.py:my_flow  # Adjust this to the correct entrypoint within the baked image
    parameters: {}  # Add any parameters your flow might need
    work_pool:
      name: ecs-dev-pool
      job_variables:
        image: my-ecr-repo/my-baked-image:latest  # Your ECR image with baked code
        networkConfiguration:
          awsvpcConfiguration:
            subnets: ["subnet-0123456789abcdef0"]
            securityGroups: ["sg-0123456789abcdef0"]
            assignPublicIp: "ENABLED"  # or DISABLED based on your VPC setup

# The pull section can be removed since the image contains the baked code
### Key Points: - Image: Point to the ECR image that contains the baked code. - Entrypoint: The entrypoint for your flow within the Docker image. Ensure this path corresponds to the location of the flow script in the baked image. - Network Configuration: Define VPC settings if necessary. - Work Pool: Ensure the work pool settings match your desired configuration. ### Summary: 1. No Pull Step Needed: Since the Docker image has the code baked in, there's no need to fetch code from a repository. 2. Focus on Image and Entrypoint: Make sure your deployment configuration points to the correct Docker image and specifies the correct entrypoint within the baked image. 3. Network Configuration: Include any necessary network settings if your ECS tasks run within a specific VPC configuration. This approach ensures that your deployment runs using the code already contained within your Docker image, streamlining the deployment process and avoiding unnecessary code fetching steps.
p
@Marvin And when deploying this flow from cli, why does it ask me to for a repository name?
m
When deploying a flow using the Prefect CLI, it might prompt you for a repository name if it assumes you want to use a git-based storage solution to manage and version your code. This can be confusing if your deployment setup already includes the code baked into the Docker image. To avoid being prompted for a repository name, you can explicitly define your deployment configuration in the 
prefect.yaml
file and use command-line flags to control the behavior. Here’s how you can do it: ### Deployment Without Repository Prompt #### Update Your 
prefect.yaml
Ensure your 
prefect.yaml
does not include any sections that imply using git-based storage:
Copy code
yaml
name: ecs-worker-guide
prefect-version: 2.14.20

# Since the image already has the code baked in, no build or push steps required
deployments:
  - name: my_ecs_deployment
    version: '2'
    tags: []
    description: My ECS Deployment with Baked Code
    entrypoint: flow.py:my_flow  # Adjust this to the correct entrypoint within the baked image
    parameters: {}  # Add any parameters your flow might need
    work_pool:
      name: ecs-dev-pool
      job_variables:
        image: my-ecr-repo/my-baked-image:latest  # Your ECR image with baked code
        networkConfiguration:
          awsvpcConfiguration:
            subnets: ["subnet-0123456789abcdef0"]
            securityGroups: ["sg-0123456789abcdef0"]
            assignPublicIp: "ENABLED"  # or DISABLED based on your VPC setup
#### Deploy Using the CLI Use the 
prefect deployment build
and 
prefect deployment apply
commands to create and apply the deployment without being prompted for repository information:
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sh
# Navigate to the directory with your prefect.yaml
cd path/to/your/deployment/directory

# Build the deployment (does not require repository input)
prefect deployment build flow.py:my_flow -n MyDeployment --apply

# Apply the deployment
prefect deployment apply my_ecs_deployment-deployment.yaml
Alternatively, you can specify details directly in the CLI to avoid repository prompts:
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sh
prefect deployment create \
  --name my_ecs_deployment \
  --entrypoint flow.py:my_flow \
  --work-pool ecs-dev-pool \
  --image my-ecr-repo/my-baked-image:latest \
  --tag my-tag \
  --description "My ECS Deployment with Baked Code"
### Explanation: - 
prefect.yaml
: Ensures configurations are set without implying git-based storage. - 
prefect deployment build
: Generates a deployment YAML file from the specified entrypoint without asking for a repository. - 
prefect deployment create
: Direct command-line creation of the deployment, specifying necessary parameters inline. ### Summary: By explicitly setting your deployment configurations in the 
prefect.yaml
file and using the appropriate CLI commands, you can avoid being prompted for repository information and ensure your deployment runs using the Docker image with the baked code. If you follow the steps above and still encounter issues, please let me know any specific error messages or prompts you receive!
p
@Marvin,shouldn't I use prefect deploy ...?
m
Yes, you can use 
prefect deploy
to create and apply a deployment in a single step. However, the prompt about repository name can also be addressed by making sure your 
prefect.yaml
file and the command itself do not imply using git-based storage. Here’s how to do it properly: ### Updating 
prefect.yaml
Ensure your 
prefect.yaml
does not include any unnecessary sections that imply a need for repository configuration:
Copy code
yaml
name: ecs-worker-guide
prefect-version: 2.14.20

# Deployments section configuring ECS deployment with baked Docker image
deployments:
  - name: my_ecs_deployment
    tags: []
    description: My ECS Deployment with Baked Code
    entrypoint: flow.py:my_flow  # Adjust this to the correct entrypoint within the baked image
    parameters: {}  # Add any parameters your flow might need
    work_pool:
      name: ecs-dev-pool
      job_variables:
        image: my-ecr-repo/my-baked-image:latest  # Your ECR image with baked code
        networkConfiguration:
          awsvpcConfiguration:
            subnets: ["subnet-0123456789abcdef0"]
            securityGroups: ["sg-0123456789abcdef0"]
            assignPublicIp: "ENABLED"  # or DISABLED based on your VPC setup
### Using 
prefect deploy
Now you can use 
prefect deploy
to create and apply the deployment without being prompted for repository information.
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sh
# Navigate to the directory with your prefect.yaml
cd path/to/your/deployment/directory

# Use prefect deploy to create and apply the deployment
prefect deploy -n MyDeployment
### Breakdown: - 
prefect deploy
: This command is a shorthand that simplifies the deployment process by combining both creation and application steps. - 
-n MyDeployment
: Names the deployment, ensuring it refers to the correct deployment configuration specified in your 
prefect.yaml
. ### Summary: 1. Ensure Correct Configuration: Make sure your 
prefect.yaml
file only includes relevant configurations related to your Docker image and ECS settings. 2. Avoid Repository Steps: Since your Docker image is self-contained, avoid any steps that imply a need to pull code from a git repository. 3. Use 
prefect deploy
Directly: This will run without prompting for repository information if the configuration is correctly set. Using this streamlined approach ensures that your deployment leverages the baked Docker image without unnecessary prompts for repository updates. This should align with your setup and requirements effectively.
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