commit | 4db37a12676e106b5f2980e959c9baa623ff6231 | [log] [tgz] |
---|---|---|
author | Djordje Lukic <djordje.lukic@docker.com> | Thu Jun 20 11:34:03 2019 |
committer | Djordje Lukic <djordje.lukic@docker.com> | Thu Jun 20 11:34:03 2019 |
tree | 84297e84491fc66a01ec9ed303696e54ff4b8d71 | |
parent | 46fdeffb103af59b526e0d1da840efaba93679c3 [diff] |
Bump dev Signed-off-by: Djordje Lukic <djordje.lukic@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
If you are intending to connect to a docker host via TLS, add docker[tls]
to your requirements instead, or install with pip:
pip install docker[tls]
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:latest", "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.