| commit | e901eac7a8c5f29c7720eafb9f58c8356cca2324 | [log] [tgz] |
|---|---|---|
| author | Milas Bowman <milas.bowman@docker.com> | Fri Aug 12 18:27:53 2022 |
| committer | GitHub <noreply@github.com> | Fri Aug 12 18:27:53 2022 |
| tree | 6cd2001cb03956b54c50384076521b8ab144abfc | |
| parent | fc86ab0d8501b10dbe9be203625e9002cf3922ed [diff] |
test: add additional tests for cgroupns option (#3024) See #2930. Signed-off-by: Milas Bowman <milas.bowman@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
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.