@Marvin provide a example terraform data block for the base_job_template property of a ecs work pool for Prefect 3

I wasn't able to retrieve a specific Terraform example for the

base_job_template

property of an ECS work pool. However, let me provide you with a broad structure based on general knowledge of how

base_job_template

is typically set up for ECS in Prefect. Here's an example of a Terraform block that sets up an ECS work pool with a specified `base_job_template`:

hcl
resource "aws_ecs_cluster" "example" {
  name = "example"
}

resource "aws_ecs_task_definition" "example" {
  family                   = "example"
  network_mode             = "awsvpc"
  container_definitions    = <<DEFINITION
    [
      {
        "name": "example",
        "image": "example-image",
        "cpu": 256,
        "memory": 512,
        "essential": true
      }
    ]
  DEFINITION

  requires_compatibilities = ["FARGATE"]
  memory                   = "512"
  cpu                      = "256"
  execution_role_arn       = aws_iam_role.example.arn
  task_role_arn            = aws_iam_role.example.arn
}

resource "aws_iam_role" "example" {
  name = "example"
  assume_role_policy = <<POLICY
    {
      "Version": "2012-10-17",
      "Statement": [
        {
          "Effect": "Allow",
          "Principal": {
            "Service": "<http://ecs-tasks.amazonaws.com|ecs-tasks.amazonaws.com>"
          },
          "Action": "sts:AssumeRole"
        }
      ]
    }
  POLICY
}

resource "prefect_ecs_work_pool" "example" {
  name = "example"
  
  base_job_template = jsonencode({
    job_configuration: {
      cpu                        = "256"
      memory                     = "512"
      network_configuration: {
        awsvpc_configuration: {
          subnets         = ["subnet-12345678"]
          security_groups = ["sg-12345678"]
          assign_public_ip = "ENABLED"
        }
      }
      execution_role_arn = aws_iam_role.example.arn
      task_role_arn      = aws_iam_role.example.arn
    }
  })
}

This example outlines the essential components: - An ECS cluster and task definition in AWS. - IAM roles for execution and task roles tied to the ECS tasks. - A Prefect ECS work pool resource that uses

base_job_template

to configure the job settings. For more accurate and updated information, referring to the official Prefect and AWS Terraform documentation is recommended. You might also want to explore Prefect's official example repository on GitHub. Feel free to visit Prefect's official documentation for more detailed and specific use cases.

@Marvin help me understand the path and entrypoint for a flow deployment. I have the following structure: • flows/acquisition/source_a/source_a.py • prefect.yaml

To set up a flow deployment with your given file structure: •

flows/acquisition/source_a/source_a.py

•

prefect.yaml

You need to understand the path and entrypoint parameters in the

prefect.yaml

file. Here's how they work: ### 1. Path The

path

parameter specifies the directory that contains the flow's Python file. ### 2. Entrypoint The

entrypoint

parameter is a relative reference to the function decorated as a flow inside the Python file. It uses the syntax

path/to/file.py:function_name

. ### Example Configuration Given your structure, if the main flow function in

source_a.py

is named

my_flow

, your

prefect.yaml

should look something like this:

yaml
name: my-flow-deployment

work_pool:
  name: my-work-pool

deployments:
  - name: source-a-deployment
    path: flows/acquisition/source_a
    entrypoint: source_a.py:my_flow
    parameters:
      param1: value1
      param2: value2
    schedule:
      cron: "0 0 * * *"  # Sample schedule - runs daily at midnight

### Key Points: - path: The path to the directory containing the Python file. - entrypoint: The file name and flow function inside the file. ### Additional Resources: For more details, refer to the official Prefect documentation: - Prefect Concepts - Deployments - Prefect Guide - Prefect Deploy Let me know if you have any other questions!

@Marvin when using that structure, I get no such file or directory exception when running prefect deploy

The error you're encountering might be due to misconfigurations in the

path

setting or directory structure. Here's a detailed step-by-step to ensure everything is set up correctly: ### 1. Directory Structure Make sure your directory structure looks like this:

project_dir/
|-- flows/
|   |-- acquisition/
|       |-- source_a/
|           |-- source_a.py
|-- prefect.yaml

### 2.

prefect.yaml

Configuration Ensure your

prefect.yaml

file is correctly referencing the correct path and entrypoint. For a flow function

my_flow

inside

source_a.py

, it should look something like this:

yaml
name: my-flow-deployment

work_pool:
  name: my-work-pool

deployments:
  - name: source-a-deployment
    path: flows/acquisition/source_a
    entrypoint: source_a.py:my_flow
    parameters:
      param1: value1
      param2: value2
    schedule:
      cron: "0 0 * * *"  # Sample schedule - runs daily at midnight

### 3. Validating the Python File Make sure your

source_a.py

has a flow function defined:

python
from prefect import flow

@flow
def my_flow():
    print("This is my flow!")

### 4. Running Deployment Command Ensure you're running the deployment command from the root of your project directory (

project_dir

):

sh
cd project_dir
prefect deploy -p prefect.yaml

This will ensure Prefect can find the

prefect.yaml

and trace the relative paths correctly. ### Troubleshooting Tips: 1. Check Permissions: Ensure your user has read permissions for all directories and files involved. 2. Absolute Paths: Try using absolute paths in the

path

parameter for debugging purposes. 3. Command Context: Always ensure you're in the right directory context when running deployment commands. For more details, check the Prefect documentation here. If problems persist, providing the exact error message and current configurations might help diagnose the issue further.

@Marvin provide an example deployment that specifies the prefect 3 docker image as a job variable

Here's an example deployment configuration in

prefect.yaml

that specifies a Docker image as a job variable for Prefect 3: ### Directory Structure Assuming the following structure:

project_dir/
|-- flows/
|   |-- acquisition/
|       |-- source_a/
|           |-- source_a.py
|-- prefect.yaml

###

prefect.yaml

Configuration In this example, the Docker image

my-repo/my-image:my-tag

is used:

yaml
name: my-flow-deployment

work_pool:
  name: my-docker-pool

deployments:
  - name: source-a-deployment
    path: flows/acquisition/source_a
    entrypoint: source_a.py:my_flow
    parameters:
      param1: value1
      param2: value2
    job_variables:
      image: "my-repo/my-image:my-tag"  # Docker image specified here
    schedule:
      cron: "0 0 * * *"  # Sample schedule - runs daily at midnight

### File Example (

source_a.py

) Ensure the flow function is defined:

python
from prefect import flow

@flow
def my_flow():
    print("This is my flow!")

### Steps to Deploy 1. Navigate to your project directory:

sh
   cd project_dir

2. Run the deployment command:

sh
   prefect deploy -p prefect.yaml

### Summary - work_pool.name: Specifies the work pool to use. - job_variables.image: Specifies the Docker image for the deployment. - path: Path to the directory containing the flow file. - entrypoint: Relative reference to the flow function within the file. Refer to the official Prefect documentation for more details: - Prefect Deployments Concept - Prefect Deployment Guide Let me know if you encounter any further issues!