Based on the research, I can provide you with an example of a

prefect.yaml

file that incorporates a Docker build target. While Prefect doesn't directly expose the target flag in its configuration, you can achieve this using the

build_config

option. Here's an example:

yaml
prefect.yaml
---
name: my-deployment
version: 0.1.0

build:
  - prefect_docker.deployments.steps.build_docker_image:
      requires: prefect-docker>=0.3.1
      image_name: my-flow-image
      tag: latest
      dockerfile: Dockerfile
      build_config:
        buildargs: {}
        target: prefect  # This specifies the build target
        platform: linux/amd64

push: false  # Set to true if you want to push to a registry

deployments:
  - name: example-deployment
    version: 0.1.0
    tags: []
    description: "Example deployment using Docker with a specific target"
    entrypoint: flow.py:my_flow
    work_pool:
      name: my-docker-pool
      work_queue_name: default

For this to work, your Dockerfile should use multi-stage builds with the appropriate target. Here's a complementary example of what your Dockerfile might look like:

dockerfile
# Base stage
FROM python:3.9-slim as base
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt

# Development stage
FROM base as development
COPY dev-requirements.txt .
RUN pip install -r dev-requirements.txt

# Prefect stage (this is our target)
FROM base as prefect
COPY . .
RUN pip install prefect

A few important notes: 1. The

target: prefect

in the

build_config

corresponds to the

as prefect

stage in the Dockerfile 2. Make sure you have the

prefect-docker

package installed (

pip install prefect-docker>=0.3.1

) 3. The

build_config

section allows you to pass various Docker build arguments, including the target 4. The example assumes you're using a Docker work pool for execution You can deploy this configuration using:

bash
prefect deploy

This setup allows you to maintain different build stages in your Dockerfile while specifically using the

prefect

target for your Prefect deployments. Links for further reading: - Prefect Docker Deployments Documentation - Prefect.yaml Configuration Guide

✅ thought for 9.3 seconds

Ah, I see your current setup. I'll help you modify this to include a Docker image with a specific target. Here's how you can adapt your

prefect.yaml

to use a Docker image with the

--prefect

target:

yaml
name: backend-flows
prefect-version: 3.4.7

build:
  - prefect_docker.deployments.steps.build_docker_image:
      requires: prefect-docker>=0.3.1
      image_name: my/docker/image
      tag: latest
      dockerfile: Dockerfile
      build_config:
        target: prefect  # This specifies the build target

push: null

pull:
  - prefect.deployments.steps.git_clone:
      repository: <https://github.com/repo/backend.git>
      branch: main
      access_token: "{{ prefect.blocks.secret.github-access-token }}"

deployments:
  - name: process
    tags: ["main"]
    entrypoint: flows/subfolder/process.py:lmain
    parameters: {}
    work_pool:
      name: my-workpool
      job_variables:
        image: my/docker/image:latest

The key changes I made: 1. Added the

build

section with

prefect_docker.deployments.steps.build_docker_image

2. Specified the target as

prefect

in the

build_config

3. Kept your existing

pull

configuration for Git 4. Maintained your deployment configuration Make sure your Dockerfile has the corresponding target defined, like this:

dockerfile
# Base stage
FROM python:3.9-slim as base
# ... base setup ...

# Target stage for Prefect
FROM base as prefect
# ... prefect-specific setup ...

To use this configuration: 1. Install the required package:

pip install prefect-docker>=0.3.1

2. Make sure your Dockerfile is in the same directory as your

prefect.yaml

(or adjust the path in the

dockerfile

field) 3. Deploy using

prefect deploy

The Docker image will be built using the

prefect

target before the deployment is created.

Ah, I understand now - you're building the Docker image in GitHub Actions and just want to specify which target to use when pulling the image for deployment. In this case, you can specify the target in the

job_variables

section of your work pool configuration. Here's how to modify your `prefect.yaml`:

yaml
name: backend-flows
prefect-version: 3.4.7

build: null

push: null

pull:
  - prefect.deployments.steps.git_clone:
      repository: <https://github.com/repo/backend.git>
      branch: main
      access_token: "{{ prefect.blocks.secret.github-access-token }}"

deployments:
  - name: process
    tags: ["main"]
    entrypoint: flows/subfolder/process.py:lmain
    parameters: {}
    work_pool:
      name: my-workpool
      job_variables:
        image: my/docker/image:latest
        target: prefect  # Specifies which target to use when running the container

This configuration: 1. Maintains your existing setup where the image is built externally in GitHub Actions 2. Adds the

target: prefect

to the

job_variables

to specify which target from your multi-stage Dockerfile should be used 3. Keeps all your other configurations intact This assumes your Docker image is built with multi-stage builds and has a target named

prefect

defined in its Dockerfile.