| commit | c8fba210a222d4f7fde90da8f48db1e7faa637ec | [log] [tgz] |
|---|---|---|
| author | Ulysses Souza <[email protected]> | Wed Mar 10 23:43:37 2021 |
| committer | Ulysses Souza <[email protected]> | Mon Mar 22 13:18:23 2021 |
| tree | c895f87ae9f514e0a47a39326d2a004ffd17275b | |
| parent | 31775a1532a66cf8a4c183a99bb5c73623147295 [diff] |
Remove support to pre python 3.6 Signed-off-by: Ulysses Souza <[email protected]>
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.