generic python docker container tutorial

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r/docker on Reddit: Generic Python Docker Container

December 28, 2023 -

I thought today, about using Docker to setup virtual environments instead of using Pipenv because I'd like to learn Docker a bit. I watched some Python videos on it and all of these were setting up fastapi's which I don't need so I wanted to make a more generic dockerfile and yml file that I can come back to over and over again.

I created a dockerfile like below:

FROM python:3.12-slim

WORKDIR /code

COPY ./requirements.txt ./ RUN pip install --no-cache-dir -r requirements.txt

COPY ./src ./src

I created a docker-compose.yml file like below:

services:
  app: 
      build: . 
      container_name: py_env 
      volumes: 
          - .:/code

I ran the command docker compose up --build -d and had no errors, it said Container py_env Started but when doing docker ps there is no container and when using dev containers in VS code to try to attach to a running container it says there are no running containers to attach to.

What am I missing?

Top answer

1 of 3

you can't just create an image and run it, you have to provide a action that triggers the container. for example use CMD [ "python", "./my_script.py" ]

2 of 3

Maybe just add the following: entrypoint: bash stdin_open: true tty: true Run with docker compose up --build -d And docker compose exec app bash to ssh into it.

GitHub

github.com › mozilla › generic-python-docker

GitHub - mozilla/generic-python-docker: An example repo for a generic, dockerized Python project

February 4, 2021 - An example repo for a generic, dockerized Python project - mozilla/generic-python-docker

Starred by 17 users

Forked by 22 users

Discussions

The best way to use docker with Python for development environments

I will write the main points how we are do container-based environments with docker-compose. for each and separate site (both frontend and backend code) a separate repo with 1 docker-compose.yml which defines "nginx", "python", "redis", "node", "postgresql" services as separate containers (plus any other we need) and the codebase is mounted to these containers, we don't build new containers for every deploy. Now, since we use multiple sites on 1 machine and we'd like to run them in parallel at ports 80, 443, we have a separate repo with 1 docker-compose.yml that starts a Traefik reverse proxy witha "traefik" docker network. and each repo's docker-compose is set to connect to that "traefik" docker network, each site has a URL set with Traefik labels. For example we set for a repo that a "python" service URL is https://mysite1.com , then if you open the browser at that URL, Traefik automatically routes to that "python" service. Traefik also does built-in automatic Let's Encrypt SSL certificate generation. More info about that: https://doc.traefik.io/traefik/providers/docker/ for vscode there is a plugin called Dev Containers ( https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers ) these allow to attach to any running container in a new vscode window, and we can run debugger and code autocompletion there, since if you attach to a python container, you have a python environment installed. (Plus we use these also for python: https://marketplace.visualstudio.com/items?itemName=ms-python.python https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance , so we use DebugPy to debug python scripts inside that, we start the debugger at inside the container, and we can attach to it fine) for nodejs the same solution could be used. And I think you don't even need to attach to a node JS container as you can run on your computer commands that should execute inside a container like this: docker compose exec , for example: docker compose exec node npm run dev we start the dev environment with docker compose up -d (first for Traefik repo, and after Traefik runs, then again docker compose up -d for each and every site we need to work on), and stop it with docker compose down. Pretty straightforward and standard. note that docker compose down removes containers and volumes, so if you use a persistent database, then you need to define a volume for the db files, so the db will not be lost after docker compose down. If it is a small/medium site that doesn't need high availability and autoscaling, this Traefik with docker-compose solution also works fine for production. The docker-compose alternatives for creating easier dev environments are Lando or DDEV but there's less documentation about those for Python projects, and they are not suitable for production but they are easier to use than docker compose. For example, they do this Traefik proxy setup by themselves, you can create scriptable commands, so you don't need to write the whole command every time like "docker compose exec python python manage.py runserver 0.0.0.0:80" but with a customly defined "lando runserver" as a simple example. More on reddit.com

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March 5, 2024

Generic Python Docker Container

you can't just create an image and run it, you have to provide a action that triggers the container. for example use CMD [ "python", "./my_script.py" ] More on reddit.com

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