| commit | 8ca5b2b392ad5625dc726b8ae43f866196ba40df | [log] [tgz] |
|---|---|---|
| author | Joffrey F <[email protected]> | Fri Jan 20 22:07:54 2017 |
| committer | Joffrey F <[email protected]> | Fri Jan 20 22:09:52 2017 |
| tree | 21f69e21aa97ff67807c1c5e93241e1b4146bfa8 | |
| parent | 886e6ff9ea61a5c2177be1b64af397fedf420750 [diff] |
Fix milestone link Signed-off-by: Joffrey F <[email protected]>
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.