An API client for docker written in Python
To instantiate a Client class that will allow you to communicate with
a Docker daemon, simply do:
c = docker.Client(base_url='unix://var/run/docker.sock',
version='1.6',
timeout=10)base_url refers to the protocol+hostname+port where the docker server
is hosted. version is the version of the API the client will use and
timeout specifies the HTTP request timeout, in seconds.
c.build(path=None, tag=None, quiet=False, fileobj=None, nocache=False,
rm=False, stream=False)Similar to the docker build command. Either path or fileobj needs
to be set. path can be a local path (to a directory containing a
Dockerfile) or a remote URL. fileobj must be a readable file-like
object to a Dockerfile.
c.commit(container, repository=None, tag=None, message=None, author=None,
conf=None)Identical to the docker commit command.
c.containers(quiet=False, all=False, trunc=True, latest=False, since=None,
before=None, limit=-1)Identical to the docker ps command.
c.copy(container, resource)Identical to the docker cp command.
c.create_container(image, command=None, hostname=None, user=None,
detach=False, stdin_open=False, tty=False, mem_limit=0,
ports=None, environment=None, dns=None, volumes=None,
volumes_from=None, network_disabled=False, name=None,
entrypoint=None, cpu_shares=None, working_dir=None)Creates a container that can then be started. Parameters are similar
to those for the docker run command except it doesn't support the
attach options (-a). See "Port bindings" and "Using volumes" below for
more information on how to create port bindings and volume mappings.
c.diff(container)Identical to the docker diff command.
c.export(container)Identical to the docker export command.
c.history(image)Identical to the docker history command.
c.images(name=None, quiet=False, all=False, viz=False)Identical to the docker images command.
c.import_image(src, data=None, repository=None, tag=None)Identical to the docker import command. If src is a string or
unicode string, it will be treated as a URL to fetch the image from. To
import an image from the local machine, src needs to be a file-like
object or bytes collection. To import from a tarball use your absolute
path to your tarball. To load arbitrary data as tarball use whatever
you want as src and your tarball content in data.
c.info()Identical to the docker info command.
c.insert(image, url, path)Identical to the docker insert command.
c.inspect_container(container)Identical to the docker inspect command, but only for containers.
c.inspect_image(image_id)Identical to the docker inspect command, but only for images.
c.kill(container, signal=None)Kill a container. Similar to the docker kill command.
c.login(username, password=None, email=None, registry=None)Identical to the docker login command (but non-interactive, obviously).
c.logs(container, stdout=True, stderr=True, stream=False)Identical to the docker logs command. The stream parameter makes the
logs function return a blocking generator you can iterate over to
retrieve log output as it happens.
c.attach(container, stdout=True, stderr=True, stream=False, logs=False)The logs function is a wrapper around this one, which you can use
instead if you want to fetch/stream container output without first
retrieving the entire backlog.
c.port(container, private_port)Identical to the docker port command.
c.pull(repository, tag=None, stream=False)Identical to the docker pull command.
c.push(repository, stream=False)Identical to the docker push command.
c.remove_container(container, v=False, link=False)
```
Remove a container. Similar to the `docker rm` command.
```python
c.remove_image(image)
```
Remove an image. Similar to the `docker rmi` command.
```python
c.restart(container, timeout=10)
```
Restart a container. Similar to the `docker restart` command.
```python
c.search(term)
```
Identical to the `docker search` command.
```python
c.start(container, binds=None, port_bindings=None, lxc_conf=None,
publish_all_ports=False, links=None, privileged=False)
```
Similar to the `docker start` command, but doesn't support attach
options. Use `docker logs` to recover `stdout`/`stderr`.
`binds` allows to bind a directory in the host to the container. See
"Using volumes" below for more information. `port_bindings` exposes
container ports to the host. See "Port bindings" below for more
information. `lxc_conf` allows to pass LXC configuration options using a
dictionary. `privileged` starts the container in privileged mode.
[Links](http://docs.docker.io/en/latest/use/working_with_links_names/)
can be specified with the `links` argument. They can either be
specified as a dictionary mapping name to alias or as a list of
`(name, alias)` tuples.
```python
c.stop(container, timeout=10)
```
Stops a container. Similar to the `docker stop` command.
```python
c.tag(image, repository, tag=None, force=False)
```
Identical to the `docker tag` command.
```python
c.top(container)
```
Identical to the `docker top` command.
```python
c.version()
```
Identical to the `docker version` command.
```python
c.wait(container)
```
Wait for a container and return its exit code. Similar to the `docker
wait` command.
Port bindings
=============
Port bindings is done in two parts. Firstly, by providing a list of ports to
open inside the container in the `Client.create_container` method.
```python
c.create_container('busybox', 'ls', ports=[1111, 2222])
```
If you wish to use UDP instead of TCP (default), you can declare it like such:
```python
c.create_container('busybox', 'ls', ports=[(1111, 'udp'), 2222])
```
Bindings are then declared in the `Client.start` method.
```python
c.start(container_id, port_bindings={1111: 4567, 2222: None})
```
You can limit the host address on which the port will be exposed like such:
```python
c.start(container_id, port_bindings={1111: ('127.0.0.1', 4567)})
```
Or without host port assignment:
```python
c.start(container_id, port_bindings={1111: ('127.0.0.1',)})
```
Using volumes
=============
Similarly, volume declaration is done in two parts. First, you have to provide
a list of mountpoints to the `Client.create_container` method.
```python
c.create_container('busybox', 'ls', volumes=['/mnt/vol1', '/mnt/vol2'])
```
Volume mappings are then declared inside the `Client.start` method like this:
```python
c.start(container_id, binds={
'/home/user1/': '/mnt/vol2',
'/var/www': '/mnt/vol1'
})
```