commit | e506a2b8eaef4cea0453af0f40870e488a66d568 | [log] [tgz] |
---|---|---|
author | Joffrey F <joffrey@docker.com> | Mon Apr 10 23:02:43 2017 |
committer | Joffrey F <joffrey@docker.com> | Mon Apr 10 23:03:13 2017 |
tree | ee07ff31e2bc565916e47fbb8dfa7d660c40e84b | |
parent | abd5370d8750dd4472dfef3b51751ec7ffc1ed2c [diff] |
Standardize handling of verbose param in inspect_network Signed-off-by: Joffrey F <joffrey@docker.com>
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.