Poetry managed Python FastAPI application with Docker multi-stage builds

This repo serves as a minimal reference on setting up docker multi-stage builds with poetry

Requirements

• Docker >= 17.05
• Python >= 3.7
• Poetry

NOTE – Run all commands from the project root

Local development

Poetry

Create the virtual environment and install dependencies with:

    poetry install

See the poetry docs for information on how to add/update dependencies.

Run commands inside the virtual environment with:

    poetry run <your_command>

Spawn a shell inside the virtual environment with

    poetry shell

Start a development server locally

    poetry run uvicorn app.main:app --reload --host localhost --port 8000

API will be available at localhost:8000/

Swagger docs at localhost:8000/docs

To run testing/linting locally you would execute lint/test in the scripts directory.

Docker

Build images with:

    docker build --tag poetry-project --file docker/Dockerfile . 

The Dockerfile uses multi-stage builds to run lint and test stages before building the production stage. If linting or testing fails the build will fail.

You can stop the build at specific stages with the --target option:

    docker build --name poetry-project --file docker/Dockerfile . --target <stage>

For example we wanted to stop at the test stage:

    docker build --tag poetry-project --file docker/Dockerfile --target test .

We could then get a shell inside the container with:

    docker run -it poetry-project:latest bash

If you do not specify a target the resulting image will be the last image defined which in our case is the ‘production’ image.

GitHub

https://github.com/michael0liver/python-poetry-docker-example