@Marvin How to update the default base job template JSON to have default environment variables for all ECS task runs?

Let me find relevant information on updating the default base job template JSON to include default environment variables for ECS task runs in Prefect. But before that, which version of Prefect are you using (2.x or 3.x)?

@Marvin Prefect 2.x

Alright, here are the steps and key points to update your default base job template JSON to include default environment variables for all ECS task runs using Prefect 2.x: 1. Understand Base Job Template: The base job template allows customization of the ECS task behavior for each flow run. It includes a

job_configuration

section and a

variables

section. 2. Edit the Template: In the

job_configuration

section, you can set your environment variables. Here’s a basic example:

json
{
  "job_configuration": {
    "Env": [
      {
        "Name": "MY_ENV_VAR",
        "Value": "{{ my_env_var }}"
      }
    ],
    ...
  },
  "variables": {
    "my_env_var": {
      "type": "string",
      "default": "default_value",
      ...
    }
  }
}

3. Update the Work Pool: Save your JSON file and use the following CLI command to update your work pool:

bash
prefect work-pool update --base-job-template path_to_your_base_job_template.json your_work_pool_name

### Key Sources: - Customizing ECS Work Pool Config - AWS ECS and Prefect Integration - Overriding Job Variables These steps should help you configure your ECS tasks with default environment variables. If further customization is needed, refer to the extensive Prefect documentation.

@Marvin I don't think that looks correct

Got it, let me dig a bit deeper into the Prefect 2.x documentation to make sure we get this right. I'll search for information specific to modifying job templates to include default environment variables for ECS tasks. To update the default base job template JSON for ECS task runs to include default environment variables in Prefect 2.x, you should follow these steps: ### Steps: 1. Create a Base Job Template: First, create or update your base job template JSON file. This file includes settings necessary for your ECS tasks, including environment variables.

json
   {
     "job_configuration": {
       "task_definition": {
         "containerDefinitions": [
           {
             "name": "my_container",
             "environment": [
               {
                 "name": "MY_ENV_VAR",
                 "value": "default_value"
               }
             ]
           }
         ]
       }
     }
   }

2. Update the Work Pool: Use the CLI to update your work pool with the new base job template. The command might look like this:

bash
   prefect work-pool update --base-job-template path_to_your_base_job_template.json your_work_pool_name

### Important Points: - Task Customizations: You can make further customizations to the task definitions and overrides, ensuring the right network configurations or other ECS-specific settings are correctly applied. ### Relevant Documentation: 1. Customizing ECS Work Pool Config 2. AWS ECS and Prefect Integration By following these steps, you should be able to configure your ECS task runs to include the necessary environment variables automatically.

@Marvin How do I use the variables section to add those in?

To add environment variables using the

variables

section in a base job template for ECS task runs, you'll need to update both the

job_configuration

and

variables

sections. Here's a step-by-step guide: ### Steps: 1. Define Variables in the Base Job Template: Update the

variables

section to define the environment variables. Then reference these variables in the

job_configuration

section.

json
   {
     "job_configuration": {
       "task_definition": {
         "containerDefinitions": [
           {
             "name": "my_container",
             "environment": [
               {
                 "name": "MY_ENV_VAR",
                 "value": "{{ my_env_var }}"
               },
               {
                 "name": "ANOTHER_ENV_VAR",
                 "value": "{{ another_env_var }}"
               }
             ]
           }
         ]
       }
     },
     "variables": {
       "properties": {
         "my_env_var": {
           "type": "string",
           "default": "default_value_for_my_env_var"
         },
         "another_env_var": {
           "type": "string",
           "default": "default_value_for_another_env_var"
         }
       }
     }
   }

2. Save and Update the Work Pool: Save this JSON to a file, say

base-job-template.json

. Then update your work pool via the CLI:

bash
   prefect work-pool update --base-job-template base-job-template.json your_work_pool_name

### Explanation: - `job_configuration`: This section defines how the job (ECS task) should be set up. The

environment

list inside

containerDefinitions

includes placeholders like

{{ my_env_var }}

which will be replaced by the values specified in the

variables

section. - `variables`: This section specifies the environment variables. It defines the type and default value for each variable. These will populate the placeholders in the

job_configuration

. ### Key Sources: 1. Customizing ECS Work Pool Config 2. AWS ECS and Prefect Integration 3. Overriding Job Variables This should help you set default environment variables for all ECS task runs using the

variables

section in the base job template. If you need more customization, you can adjust other parts of the

job_configuration

and

variables

sections accordingly.

@Marvin can the base job template file be a YAML instead of a JSON ?

Prefect 2.x documentation specifically mentions committing the base job template as a JSON file and updating work pools using that JSON file. There is no mention of using YAML for base job templates. ### Key Points: - The base job template must be a JSON file. - The command to update the work pool:

bash
  prefect work-pool update --base-job-template base-job-template.json your_work_pool_name

### References: - Work Pools Concept - Developing a New Worker Type From the documentation, it is clear that JSON is required for the base job template files. If YAML is essential for your workflow, you might need to write a conversion script to translate a YAML file into JSON before updating your work pool.