https://prefect.io logo
Join Slack
Powered by
<@ULVA73B9P> I am trying to create a prefect.yaml ...
# ask-marvin
m
@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?
m
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:
Copy code
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!
m
@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
m
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:
Copy code
bash
   prefect work-pool create 'my-work-pool' -t process
2. Update your 
prefect.yaml
file to reference this work pool:
Copy code
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
m
@Marvin what is a project style deployment
m
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!
m
@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 }}'
m
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
m
@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 }}'
m
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.
Copy code
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!
43 Views
Open in Slack
PreviousNext
Powered by