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