commit | b72926b3822e018baa8d0a82a76c32881932d6a2 | [log] [tgz] |
---|---|---|
author | Ulysses Souza <ulyssessouza@gmail.com> | Tue Dec 22 20:50:19 2020 |
committer | Ulysses Souza <ulysses.souza@docker.com> | Tue Dec 22 20:53:42 2020 |
tree | 3b3e09091ce3c31bd733d4db92693f233aeba16f | |
parent | 2f3e0f9fc441d2a637bfc0816d7eb6d814a7cd72 [diff] |
Post 4.4.1 release Signed-off-by: Ulysses Souza <ulyssessouza@gmail.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.