mirror of https://github.com/docker/docker-py.git
This option was never functional, and was not intended to be added to the "container create" API, so let's remove it, because it has been removed in Docker 17.05, and was broken in versions before that; see - https://github.com/moby/moby/issues/32355 --init-path does not seem to work - https://github.com/moby/moby/pull/32470 remove --init-path from client Signed-off-by: Sebastiaan van Stijn <github@gone.nl> |
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docker | ||
docs | ||
scripts | ||
tests | ||
.coveragerc | ||
.dockerignore | ||
.editorconfig | ||
.gitignore | ||
.travis.yml | ||
CONTRIBUTING.md | ||
Dockerfile | ||
Dockerfile-docs | ||
Dockerfile-py3 | ||
Jenkinsfile | ||
LICENSE | ||
MAINTAINERS | ||
MANIFEST.in | ||
Makefile | ||
README.md | ||
appveyor.yml | ||
docs-requirements.txt | ||
pytest.ini | ||
requirements.txt | ||
setup.cfg | ||
setup.py | ||
test-requirements.txt | ||
tox.ini | ||
win32-requirements.txt |
README.md
Docker SDK for Python
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.
Installation
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]
Usage
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.