/uvicorn-poetry

Docker image with Uvicorn ASGI server for running Python web applications on Kubernetes. Uses Poetry for managing dependencies and setting up a virtual environment. With FastAPI example applications.

Primary LanguagePythonMIT LicenseMIT

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uvicorn-poetry

This Docker image provides a platform to run Python applications with Uvicorn on Kubernetes container orchestration system. It provides Poetry for managing dependencies and setting up a virtual environment in the container.

This image aims to follow the best practices for a production grade container image for hosting Python web applications based on micro frameworks like FastAPI. Therefore source and documentation contain a lot of references to documentation of dependencies used in this project, so users of this image can follow up on that.

Any feedback is highly appreciated and will be considered.

Docker Hub: pfeiffermax/uvicorn-poetry

GitHub Repository: https://github.com/max-pfeiffer/uvicorn-poetry

Docker Image Features

  1. Supported architectures:
    1. Python v3.9, Debian or Debian-slim
    2. Python v3.10, Debian or Debian-slim
  2. Poetry is available as Python package dependency management tool
  3. A virtual environment for the application and application server
  4. An entrypoint for running the Python application with Uvicorn
  5. Additional entrypoints for pytest and black which can be used in multi stage builds for building docker executables

Usage

You can use the uvicorn-poetry-fastapi-project-template for your convenience. It requires Cookiecutter.

The image just provides a platform that you can use to build upon your own multistage builds. So it consequently does not contain an application itself. Please check out the example application on how to use that image and build containers efficiently.

There is also another sample app demonstrating a very simple single stage build. If you are not concerned about image size, go for that image.

Please be aware that your application needs an application layout without src folder which is proposed in fastapi-realworld-example-app. The application and test structure needs to be like that:

├── .dockerignore
├── Dockerfile
├── app
│    ├── __init__.py
│    └── main.py
├── poetry.lock
├── pyproject.toml
└── tests
    ├── __init__.py
    ├── conftest.py
    └── test_api
        ├── __init__.py
        ├── test_items.py
        └── test_root.py

Please be aware that you need to provide a pyproject.toml file to specify your Python package dependencies for Poetry and configure dependencies like Pytest. Poetry dependencies must at least contain the following to work:

  • python = "^3.9"
  • uvicorn = "0.18.3"

If your application uses FastAPI framework this needs to be added as well:

  • fastapi = "0.82.0"

IMPORTANT: make sure you have a .dockerignore file in your application root which excludes your local virtual environment in .venv! Otherwise you will have an issue activating that virtual environment when running the container.

Configuration

Configuration is done through command line arguments in the entrypoint for running the Python application. For everything else Uvicorn uses it's defaults. Since Uvicorn v0.16.0 you can configure Uvicorn via environment variables with the prefix UVICORN_. If you would like to do a deep dive on all the configuration options please see the official Uvicorn documentation.

Important change since V2.0.0

These custom environment variables are not supported any more:

  1. LOG_LEVEL : The granularity of Error log outputs.
  2. LOG_CONFIG_FILE : Logging configuration file.
  3. RELOAD : Enable auto-reload.