commit | 3178c8d48b7e7414d1f864ba1fe77139f4e923eb | [log] [tgz] |
---|---|---|
author | Felix Fontein <felix@fontein.de> | Fri May 05 15:39:31 2023 |
committer | GitHub <noreply@github.com> | Fri May 05 15:39:31 2023 |
tree | becedb0bb38d823969ec7074ff55e7aba817c723 | |
parent | a02ba743338c27fd9348af2cf7767b140501734d [diff] |
deps: compatiblity with requests ≥ 2.29.0 and urllib3 2.x (#3116) Requirements are the same, so it's still possible to use `urllib3 < 2` or `requests == 2.28.2` for example. Signed-off-by: Felix Fontein <felix@fontein.de>
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
Older versions (< 6.0) required installing
docker[tls]
for SSL/TLS support. This is no longer necessary and is a no-op, but is supported for backwards compatibility.
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.