<@ULVA73B9P> I am trying to create a prefect.yaml file using prefect version 2.x I get this error wh...

Maja

09/20/2024, 11:41 AM

@Marvin I am trying to create a prefect.yaml file using prefect version 2.x I get this error when I try to use the command prefect deploy in the terminal: You've chosen a work pool with type 'prefect-agent' which cannot be used for project-style deployments. Let's pick another work pool to deploy to. My deployment section of the prefect.yaml file looks like this: deployments: - name: introduction.template.test_flow version: null tags: [] description: null schedule: {} flow_name: null entrypoint: template\test_flow\flow.py:test_new_deploy_flow parameters: {} work_pool: name: default-agent-pool work_queue_name: prod-limit-1 job_variables: image: '{{ build_image.image }}' How do I create a prefect.yaml file that can deploy to a work pool with type prefect-agent?

Marvin

09/20/2024, 11:42 AM

It seems that you are facing an issue regarding the work pool type

prefect-agent

. According to Prefect 2.x documentation,

prefect-agent

type work pools cannot be used for project-style deployments, which might be causing the error you're seeing. Based on the documentation, you might want to change the work pool type to something compatible such as

process

docker

kubernetes

, etc. Here is an example of a compatible

prefect.yaml

configuration:

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yaml
deployments:
- name: introduction.template.test_flow
  version: null
  tags: []
  description: null
  schedule: {}
  flow_name: null
  entrypoint: template\test_flow\flow.py:test_new_deploy_flow
  parameters: {}
  work_pool:
    name: default-process-pool
    work_queue_name: prod-limit-1
    job_variables:
      image: '{{ build_image.image }}'

Ensure your work pool is compatible by doing the following steps: 1. Create or use a work pool of a different type (e.g.,

process

). 2. Update the work pool name in your

prefect.yaml

file. For more information, you can refer to the following resources: - Prefect Deployment Guide - Prefect Agents Concepts Feel free to reach out if you have more questions!

Maja

09/20/2024, 11:45 AM

@Marvin but when I used prefect deployment build this was not an issue: prefect deployment build ${{ parameters.child2 }}\${{ parameters.flowfile }}:$(varflowname) --name $(deployname)${{ parameters.deploy_suffix }}.$(environment) --version $(Build.DefinitionName)$(Build.BuildNumber) --work-queue $(workqueue) --infra-block docker-container/$(environment) ${{ parameters.params }} --override image=$(imagerepo):$(varimage) --storage-block $(sb) --tag $(environment) --tag ${{ parameters.parent }} --tag ${{ parameters.child1 }} --tag ${{ parameters.child2 }} $(concurrency_limit_string) --path $(blobpath) --apply

Marvin

09/20/2024, 11:45 AM

In Prefect 2.x, while the

prefect deployment build

command allows the use of

--work-queue

to specify work queues including those associated with older

prefect-agent

types, the

prefect deploy

command does not support deploying to these older agent types for project-style deployments. The difference arises because

prefect deployment build

creates deployment specifications that can include older infrastructures for backward compatibility, while

prefect deploy

enforces a stricter policy against using certain deprecated configurations directly within the YAML. To resolve your error, you should ensure that you are using a supported work pool type in your

prefect.yaml

and corresponding deployment: 1. Create a work pool of the correct type:

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bash
   prefect work-pool create 'my-work-pool' -t process

2. Update your
prefect.yaml
file to reference this work pool:

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yaml
   deployments:
   - name: introduction.template.test_flow
     version: null
     tags: []
     description: null
     schedule: {}
     flow_name: null
     entrypoint: template\test_flow\flow.py:test_new_deploy_flow
     parameters: {}
     work_pool:
       name: my-work-pool
       work_queue_name: prod-limit-1
       job_variables:
         image: '{{ build_image.image }}'

For more details, check the following resources: 1. Prefect Deployment Guide 2. Prefect Agents Concepts

Maja

09/20/2024, 11:47 AM

@Marvin what is a project style deployment

Marvin

09/20/2024, 11:47 AM

Project-style deployments in Prefect refer to a structured approach where deployments are managed using a

prefect.yaml

file within a project directory. This file contains configuration details for building, pushing, pulling, and registering deployments. Here are the key characteristics and steps involved in a project-style deployment: 1. Configuration File: The

prefect.yaml

file in your project directory contains necessary configurations. It includes

build

push

pull

sections, along with deployment definitions. 2. Deployment Mechanics: When you run the

prefect deploy

command within the project directory: - The

prefect.yaml

file is loaded and parsed. - The

build

section is executed, resolving variables and blocks. - The

push

section is run, uploading artifacts as needed. - The

pull

section is templated but not executed immediately for security. - Finally, the deployment is registered with the Prefect API using all resolved configurations. Here's a simplified breakdown from the documentation: - Build: Set up dependencies and prepare environments, e.g., building a Docker image. - Push: Upload necessary files or images to storage. - Pull: Retrieve stored artifacts during execution. - Deploy: Register the deployment with metadata and configurations. To avoid the error you encountered, make sure that your work pools and queues align correctly with the supported configurations for project-style deployments. For more detailed guidance, you can check out: - Prefect Deployment Guide - Prefect CI/CD Integration Guide Feel free to ask if you have further questions!

Maja

09/20/2024, 11:52 AM

@Marvin Ok. But what if the flow is actually supposed to be run in a docker container? what should the work_pool value be? My prefect.yaml file looks like this: name: introduction prefect-version: 2.16.9 # build section allows you 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: myrepo/myimage:latest tag: '3.0' dockerfile: auto # push section allows you to manage if and how this project is uploaded to remote locations push: - prefect_docker.deployments.steps.push_docker_image: requires: prefect-docker>=0.3.1 image_name: '{{ build_image.image_name }}' tag: '{{ build_image.tag }}' credentials: null - prefect_azure.deployments.steps.push_to_azure_blob_storage: id: push_code requires: prefect-azure>=0.2.8 container: folder: introduction # pull section allows you to provide instructions for cloning this project in remote locations pull: - prefect_azure.deployments.steps.pull_from_azure_blob_storage: id: pull_code requires: prefect-azure>=0.2.8 container: '{{ push_code.container }}' folder: '{{ push_code.folder }}' # the deployments section allows you to provide configuration for deploying flows deployments: - name: introduction.template.test_flow version: null tags: [] description: null schedule: {} flow_name: null entrypoint: template\test_flow\flow.py:test_new_deploy_flow parameters: {} work_pool: name: default-agent-pool work_queue_name: prod-limit-1 job_variables: image: '{{ build_image.image }}'

Marvin

09/20/2024, 11:52 AM

Your message was too long by 111 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

Ok. But what if the flow is actually supposed to be run in a docker container? what should the work_pool value be?

My prefect.yaml file looks like this: name: introduction prefect-version: 2.16.9 # build section allows you 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: myrepo/myimage:latest tag: '3.0' dockerfile: auto # push section allows you to manage if and how this project is uploaded to remote locations push: - prefect_docker.deployments.steps.push_docker_image: requires: prefect-docker>=0.3.1 image_name: '{{ build_image.image_name }}' tag: '{{ build_image.tag }}' credentials: null - prefect_azure.deployments.steps.push_to_azure_blob_storage: id: push_code requires: prefect-azure>=0.2.8 container: folder: introduction # pull section allows you to provide instructions for cloning this project in remote locations pull: - prefect_azure.deployments.steps.pull_from_azure_blob_storage: id: pull_code requires: prefect-azure>=0.2.8 container: '{{ push_code.container }}' folder

Maja

09/20/2024, 11:55 AM

@Marvin Ok. But what if the flow is actually supposed to be run in a docker container? what should the work_pool value be? the build, push and pull sections of my prefect.yaml file looks like this: build: - prefect_docker.deployments.steps.build_docker_image: id: build_image requires: prefect-docker>=0.3.1 image_name: myrepo/myimage:latest tag: '3.0' 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 }}' credentials: null - prefect_azure.deployments.steps.push_to_azure_blob_storage: id: push_code requires: prefect-azure>=0.2.8 container: folder: introduction pull: - prefect_azure.deployments.steps.pull_from_azure_blob_storage: id: pull_code requires: prefect-azure>=0.2.8 container: '{{ push_code.container }}' folder: '{{ push_code.folder }}'

Marvin

09/20/2024, 11:56 AM

If your flow is supposed to run in a Docker container, you should use a

docker

work pool type in your

prefect.yaml

configuration. This ensures that your deployments will utilize Docker infrastructure. Here’s how you can set up your prefect.yaml file: 1. Create a Docker work pool: Use the CLI command to create a Docker work pool.

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bash
   prefect work-pool create 'my-docker-pool' -t docker

2. Update your
prefect.yaml
file: Incorporate the Docker work pool within the

prefect.yaml

file's

work_pool

section. Your

prefect.yaml

file would look something like this:

Copy code

yaml
build:
- prefect_docker.deployments.steps.build_docker_image:
    id: build_image
    requires: prefect-docker>=0.3.1
    image_name: myrepo/myimage:latest
    tag: '3.0'
    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 }}'
    credentials: null
- prefect_azure.deployments.steps.push_to_azure_blob_storage:
    id: push_code
    requires: prefect-azure>=0.2.8
    container:
    folder: introduction

pull:
- prefect_azure.deployments.steps.pull_from_azure_blob_storage:
    id: pull_code
    requires: prefect-azure>=0.2.8
    container: '{{ push_code.container }}'
    folder: '{{ push_code.folder }}'

deployments:
- name: introduction.template.test_flow
  version: null
  tags: []
  description: null
  schedule: {}
  flow_name: null
  entrypoint: template\test_flow\flow.py:test_new_deploy_flow
  parameters: {}
  work_pool:
    name: my-docker-pool
    work_queue_name: prod-limit-1
    job_variables:
      image: '{{ build_image.image }}'

This configuration ensures that your deployment will use a Docker container. For more information, refer to the following resources: 1. Work Pools Tutorial 2. Workers Tutorial 3. Prefect Deploy Guide Feel free to ask if you have any more questions!

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