pcmagas/python_dev repository overview

⁠A simple python container for cli-development

A simple python contaner spawning the python 3 version for python app development. It boostraps the virtualenv and automatically installs all the required pip dependencies.

⁠Volumes, enviromental variables and build arguments

The folder /home/developer/code is being exported as volume. Also you can set the setting PROJECT_PATH to .env in order to specify the path that will be mounted as volume.

Also the following enviromental variables are used:

⁠Recommended Usage

⁠Docker-compose based one

I would reccomend creating the following docker-compose.yml to your project's root

version: '3'

services:

  python_dev:
    image: pc-magas/python_dev:3
    stdin_open: true
    tty: true
    volumes:
      - $PROJECT_PATH:/home/developer/code
    environment:
      - DEPENDENCIES_FILE=$DEPENDENCIES_FILE

Then create this .env file:

PROJECT_PATH=^path_file^
DEPENDENCIES_FILE=^dependencies_file^

Where ^path_file^ is the project's root and ^dependencies_file^ is the pip freeze generated file.

In case that the user is or the default users group is NOT 1000 use the following docker-compose.yml:

version: '3'

services:

  python_dev:
    image: pc-magas/python_dev:3
    stdin_open: true
    tty: true
    volumes:
      - $PROJECT_PATH:/home/developer/code
    environment:
      - DEPENDENCIES_FILE=$DEPENDENCIES_FILE
      - DOCKER_UID=$UID
      - DOCKER_GID=$GID

And generate the .env like that:

cd ^path_file^
echo "PROJECT_PATH"=$(pwd) >> .env
echo "UID="$(id -u) >>.env
echo "UID="$(id -g) >>.env
echo "DEPENDENCIES_FILE=^depndencies_file^" >>.env

Where on the commands above the ^path_file^ is the project's root and ^dependencies_file^ is the pip freeze generated file.

Then via the following command you can launch it:

docker-compose run python_dev

⁠Further notices:

Do not be alarmed by the following errors during container launch: