commit | 3bc06bb80417609595cdf3060c0fdb75a8399b98 | [log] [tgz] |
---|---|---|
author | Joffrey F <f.joffrey@gmail.com> | Mon Dec 12 22:07:17 2016 |
committer | GitHub <noreply@github.com> | Mon Dec 12 22:07:17 2016 |
tree | 392ebafeb561b4ed7aca9888279a15e5f92024e3 | |
parent | 997e583ea9a7b33113edd91d5bee73d25d720448 [diff] | |
parent | b45f2659ddd126bab35a90e8d2ead7bacbbd8c48 [diff] |
Merge pull request #1343 from docker/2.0.0-release 2.0.0 release
Warning: This README is for the development version of the Docker SDK for Python, which is significantly different to the stable version. Documentation for the stable version is here.
A Python library for the Docker Engine API. It lets you do anything the docker
command does, but from within Python apps – run containers, manage containers, manage Swarms, etc.
The latest stable version is available on PyPi. Either add docker
to your requirements.txt
file or install with pip:
pip install docker
Connect to Docker using the default socket or the configuration in your environment:
import docker client = docker.from_env()
You can run containers:
>>> client.containers.run("ubuntu", "echo hello world") 'hello world\n'
You can run containers in the background:
>>> client.containers.run("bfirsh/reticulate-splines", detach=True) <Container '45e6d2de7c54'>
You can manage containers:
>>> client.containers.list() [<Container '45e6d2de7c54'>, <Container 'db18e4f20eaa'>, ...] >>> container = client.containers.get('45e6d2de7c54') >>> container.attrs['Config']['Image'] "bfirsh/reticulate-splines" >>> container.logs() "Reticulating spline 1...\n" >>> container.stop()
You can stream logs:
>>> for line in container.logs(stream=True): ... print line.strip() Reticulating spline 2... Reticulating spline 3... ...
You can manage images:
>>> client.images.pull('nginx') <Image 'nginx'> >>> client.images.list() [<Image 'ubuntu'>, <Image 'nginx'>, ...]
Read the full documentation to see everything you can do.