This project provides a Python Sphinx Docker image for development purposes.
View Dockerfile on GitHub.
Docker Hub | Upstream Project |
---|---|
In case you seek help, go and visit the community pages.
devilbox.readthedocs.io | gitter.im/devilbox | devilbox.discourse.group |
- Image name:
devilbox/python-sphinx
Rolling tags are updated and pushed nightly to ensure latest patch-level Python version.
Image tag | Python version |
---|---|
3.9-dev |
Latest 3.9.x |
3.8-dev |
Latest 3.8.x |
3.7-dev |
Latest 3.7.x |
3.6-dev |
Latest 3.6.x |
3.5-dev |
Latest 3.5.x |
2.7-dev |
Latest 2.7.x |
Release tags are fixed and bound to git tags.
Image Tag | Python version |
---|---|
3.9-dev-<git-tag> |
Latest 3.9.x |
3.8-dev-<git-tag> |
Latest 3.8.x |
3.7-dev-<git-tag> |
Latest 3.7.x |
3.6-dev-<git-tag> |
Latest 3.6.x |
3.5-dev-<git-tag> |
Latest 3.5.x |
2.7-dev-<git-tag> |
Latest 2.7.x |
For easy usage, there is a Docker Compose example project included.
cp .env.example .env
docker-compose up
curl localhost:8000
Variable | Required | Default | Description |
---|---|---|---|
SPHINX_PROJECT |
. |
The sub-directory name under /shared/httpd/ to serve [1] |
|
SPHINX_BUILD_DIR |
_build/html |
The relative build sub-directory path under SPHINX_PROJECT_DIR |
|
SPHINX_PORT |
8000 |
Docker container internal http port to serve the application | |
NEW_UID |
1000 |
User id of the host system to ensure syncronized permissions between host and container | |
NEW_GID |
1000 |
Group id of the host system to ensure syncronized permissions between host and container |
- [1] See Project directory structure for usage
The following shows how to organize your project on the host operating system.
The following is the least required directory structure:
<project-dir>/
├── index.rst # Sphinx index file
└── conf.py # Sphinx configuration file
After you've started the container the structure will look like
<project-dir>/
├── _build
│ └── html
├── index.rst
└── conf.py
The following directory structure allows for auto-installing Python dependencies during startup into a virtual env.
<project-dir>/
├── index.rst # Sphinx index file
├── conf.py # Sphinx configuration file
└── requirements.txt # Optional: will pip install in virtual env
After you've started the container with a requirements.txt
in place, a new venv/
directory will be added with you Python virtual env.
<project-dir>/
├── index.rst # Sphinx index file
├── conf.py # Sphinx configuration file
├── requirements.txt
└── venv
├── bin
├── include
└── lib
When using this image, you need to mount your project directory into /shared/httpd/
into the container:
docker run \
--rm \
-v $(pwd)/<project-dir>:/shared/httpd/<project-dir> \
devilbox/python-sphinx:3.9-dev
If your local uid or gid are not 1000, you should set them accordingly via env vars to ensure to syncronize file system permissions across the container and your host system.
docker run \
--rm \
-v $(pwd)/<project-dir>:/shared/httpd/<project-dir> \
-e NEW_UID=$(id -u) \
-e NEW_GID=$(id -g) \
devilbox/python-sphinx:3.9-dev
# Build default version (Python 3.8)
make build
# Build specific version
make build PYTHON=3.7
# Test default version (Python 3.8)
make test
# Test specific version
make test PYTHON=3.7
Copyright (c) 2019 cytopia