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@ -6,440 +6,17 @@ docker-py
An API client for docker written in Python
Installation
============
------------
Our latest stable is always available on PyPi.
pip install docker-py
API
===
Documentation
------------
To instantiate a `Client` class that will allow you to communicate with
a Docker daemon, simply do:
Full documentation is available in the `/docs/` directory.
```python
c = docker.Client(base_url='unix://var/run/docker.sock',
version='1.12',
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.
```python
c.build(path=None, tag=None, quiet=False, fileobj=None, nocache=False,
rm=False, stream=False, timeout=None,
custom_context=False, encoding=None):
```
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.
If you have a tar file for the docker build context (including a dockerfile)
already, pass a readable file-like object to `fileobj` and also pass
`custom_context=True`. If the stream is compressed also, set `encoding` to
the correct value (e.g `gzip`).
```python
c.commit(container, repository=None, tag=None, message=None, author=None,
conf=None)
```
Identical to the `docker commit` command.
```python
c.containers(quiet=False, all=False, trunc=True, latest=False, since=None,
before=None, limit=-1)
```
Identical to the `docker ps` command.
```python
c.copy(container, resource)
```
Identical to the `docker cp` command.
```python
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,
memswap_limit=0)
```
Creates a container that can then be `start`ed. 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.
`command` is the command to be run in the container. String or list types are
accepted.
The `environment` variable accepts a dictionary or a list of strings
in the following format `["PASSWORD=xxx"]` or `{"PASSWORD": "xxx"}`.
The `mem_limit` variable accepts float values (which represent the memory limit
of the created container in bytes) or a string with a units identification char
('100000b', 1000k', 128m', '1g'). If a string is specified without a units
character, bytes are assumed as an intended unit.
`volumes_from` and `dns` arguments raise TypeError exception if they are used
against v1.10 of docker remote API. Those arguments should be passed to
`start()` instead.
```python
c.diff(container)
```
Identical to the `docker diff` command.
```python
c.export(container)
```
Identical to the `docker export` command.
```python
c.history(image)
```
Identical to the `docker history` command.
```python
c.images(name=None, quiet=False, all=False, viz=False)
```
Identical to the `docker images` command.
```python
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.
```python
c.info()
```
Identical to the `docker info` command.
```python
c.insert(image, url, path)
```
Identical to the `docker insert` command.
```python
c.inspect_container(container)
```
Identical to the `docker inspect` command, but only for containers.
```python
c.inspect_image(image_id)
```
Identical to the `docker inspect` command, but only for images.
```python
c.kill(container, signal=None)
```
Kill a container. Similar to the `docker kill` command.
```python
c.login(username, password=None, email=None, registry=None)
```
Identical to the `docker login` command (but non-interactive, obviously).
```python
c.logs(container, stdout=True, stderr=True, stream=False, timestamps=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.
```python
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.
```python
c.ping()
```
Hits the /_ping endpoint of the remote API and returns the result.
An exception will be raised if the endpoint isn't responding.
```python
c.port(container, private_port)
```
Identical to the `docker port` command.
```python
c.pull(repository, tag=None, stream=False)
```
Identical to the `docker pull` command.
```python
c.push(repository, tag=None, stream=False)
```
Identical to the `docker push` command.
````python
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,
dns=None, dns_search=None, volumes_from=None, network_mode=None,
restart_policy=None, cap_add=None, cap_drop=None)
```
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.
`dns` and `volumes_from` are only available if they are used with version v1.10
of docker remote API. Otherwise they are ignored.
`network_mode` is available since v1.11 and sets the Network mode for the
container ('bridge': creates a new network stack for the container on the
docker bridge, 'none': no networking for this container, 'container:[name|id]':
reuses another container network stack), 'host': use the host network stack
inside the container.
`restart_policy` is available since v1.2.0 and sets the RestartPolicy for how a container should or should not be
restarted on exit. By default the policy is set to no meaning do not restart the container when it exits.
The user may specify the restart policy as a dictionary for example:
for example:
```
{
"MaximumRetryCount": 0,
"Name": "always"
}
```
for always restarting the container on exit or can specify to restart the container to restart on failure and can limit
number of restarts.
for example:
```
{
"MaximumRetryCount": 5,
"Name": "on-failure"
}
```
`cap_add` and `cap_drop` are available since v1.2.0 and can be used to add or drop certain capabilities.
The user may specify the capabilities as an array for example:
```
[
"SYS_ADMIN",
"MKNOD"
]
```
```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])
```
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',)})
```
If you wish to use UDP instead of TCP (default), you need to declare it
like such in both the `create_container()` and `start()` calls:
```python
container_id = c.create_container('busybox', 'ls', ports=[(1111, 'udp'), 2222])
c.start(container_id, port_bindings={'1111/udp': 4567, 2222: None})
```
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/':
{
'bind': '/mnt/vol2',
'ro': False
},
'/var/www':
{
'bind': '/mnt/vol1',
'ro': True
}
})
```
Connection to daemon using HTTPS
================================
*These instructions are docker-py specific. Please refer to
http://docs.docker.com/articles/https/ first.*
* Authenticate server based on public/default CA pool
```python
client = docker.Client(base_url='<https_url>', tls=True)
```
Equivalent CLI options: `docker --tls ...`
If you want to use TLS but don't want to verify the server certificate
(for example when testing with a self-signed certificate):
```python
tls_config = docker.tls.TLSConfig(verify=False)
client = docker.Client(base_url='<https_url>', tls=tls_config)
```
* Authenticate server based on given CA
```python
tls_config = docker.tls.TLSConfig(ca_cert='/path/to/ca.pem')
client = docker.Client(base_url='<https_url>', tls=tls_config)
```
Equivalent CLI options: `docker --tlsverify --tlscacert /path/to/ca.pem ...`
* Authenticate with client certificate, do not authenticate server
based on given CA
```python
tls_config = docker.tls.TLSConfig(
client_cert=('/path/to/client-cert.pem', '/path/to/client-key.pem')
)
client = docker.Client(base_url='<https_url>', tls=tls_config)
```
Equivalent CLI options:
`docker --tls --tlscert /path/to/client-cert.pem
--tlskey /path/to/client-key.pem ...`
* Authenticate with client certificate, authenticate server based on given CA
```python
tls_config = docker.tls.TLSConfig(
client_cert=('/path/to/client-cert.pem', '/path/to/client-key.pem'),
ca_cert='/path/to/ca.pem'
)
client = docker.Client(base_url='<https_url>', tls=tls_config)
```
Equivalent CLI options:
`docker --tlsverify --tlscert /path/to/client-cert.pem
--tlskey /path/to/client-key.pem --tlscacert /path/to/ca.pem ...`
License
-------
Docker is licensed under the Apache License, Version 2.0. See LICENSE for full license text

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# Client API
To instantiate a `Client` class that will allow you to communicate with a
Docker daemon, simply do:
```python
from docker import Client
c = Client(base_url='unix://var/run/docker.sock')
```
**Params**:
* base_url (str): Refers to the protocol+hostname+port where the docker server
is hosted.
* version (str): The version of the API the client will use
* timeout (int): The HTTP request timeout, in seconds.
* tls (bool or [TLSConfig](tls.md#TLSConfig)): Equivalent CLI options:
`docker --tls ...`
## attach
The `.logs()` function is a wrapper around this method, which you can use
instead if you want to fetch/stream container output without first retrieving
the entire backlog.
**Params**:
* container (str): The container to attach to
* stdout (bool): Get STDOUT
* stderr (bool): Get STDERR
* stream (bool): Return an interator
* logs (bool): Get all previous output
**Returns** (generator or str): The logs or output for the image
## build
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.
If you have a tar file for the docker build context (including a Dockerfile)
already, pass a readable file-like object to `fileobj` and also pass
`custom_context=True`. If the stream is compressed also, set `encoding` to the
correct value (e.g `gzip`).
**Params**:
* path (str): Path to the directory containing the Dockerfile
* tag (str): A tag to add to the final image
* quiet (bool): Whether to return the status
* fileobj: A file object to use as the Dockerfile. (Or a file-like object)
* nocache (bool): Don't use the cache when set to `True`
* rm (bool): Remove intermediate containers
* stream (bool): Return a blocking generator you can iterate over to retrieve
build output as it happens
* timeout (int): HTTP timeout
* custom_context (bool): Optional if using `fileobj`
* encoding (str): The encoding for a stream. Set to `gzip` for compressing
**Returns** (generator): A generator of the build output
```python
>>> from io import BytesIO
>>> from docker import Client
>>> dockerfile = '''
... # Shared Volume
... FROM busybox:buildroot-2014.02
... MAINTAINER first last, first.last@yourdomain.com
... VOLUME /data
... CMD ["/bin/sh"]
... '''
>>> f = BytesIO(dockerfile.encode('utf-8'))
>>> cli = Client(base_url='tcp://127.0.0.1:2375')
>>> response = [line for line in cli.build(
... fileobj=f, rm=True, tag='yourname/volume'
... )]
>>> response
['{"stream":" ---\\u003e a9eb17255234\\n"}',
'{"stream":"Step 1 : MAINTAINER first last, first.last@yourdomain.com\\n"}',
'{"stream":" ---\\u003e Running in 08787d0ee8b1\\n"}',
'{"stream":" ---\\u003e 23e5e66a4494\\n"}',
'{"stream":"Removing intermediate container 08787d0ee8b1\\n"}',
'{"stream":"Step 2 : VOLUME /data\\n"}',
'{"stream":" ---\\u003e Running in abdc1e6896c6\\n"}',
'{"stream":" ---\\u003e 713bca62012e\\n"}',
'{"stream":"Removing intermediate container abdc1e6896c6\\n"}',
'{"stream":"Step 3 : CMD [\\"/bin/sh\\"]\\n"}',
'{"stream":" ---\\u003e Running in dba30f2a1a7e\\n"}',
'{"stream":" ---\\u003e 032b8b2855fc\\n"}',
'{"stream":"Removing intermediate container dba30f2a1a7e\\n"}',
'{"stream":"Successfully built 032b8b2855fc\\n"}']
```
**Raises:** [TypeError](
https://docs.python.org/3.4/library/exceptions.html#TypeError) if `path` nor
`fileobj` are specified
## commit
Identical to the `docker commit` command.
**Params**:
* container (str): The image hash of the container
* repository (str): The repository to push the image to
* tag (str): The tag to push
* message (str): A commit message
* author (str): The name of the author
* conf (dict): The configuraton for the container. See the [docker remote api](
https://docs.docker.com/reference/api/docker_remote_api/) for full details.
## containers
List containers. Identical to the `docker ps` command.
**Params**:
* quiet (bool): Only display numeric Ids
* all (bool): Show all containers. Only running containers are shown by default
* trunc (bool): Truncate output
* latest (bool): Show only the latest created container, include non-running
ones.
* since (str): Show only containers created since Id or Name, include
non-running ones
* before (str): Show only container created before Id or Name, include
non-running ones
* limit (int): Show `limit` last created containers, include non-running ones
* size (bool): Display sizes
**Returns** (dict): The system's containers
```python
>>> from docker import Client
>>> cli = Client(base_url='tcp://127.0.0.1:2375')
>>> cli.containers()
[{'Command': '/bin/sleep 30',
'Created': 1412574844,
'Id': '6e276c9e6e5759e12a6a9214efec6439f80b4f37618e1a6547f28a3da34db07a',
'Image': 'busybox:buildroot-2014.02',
'Names': ['/grave_mayer'],
'Ports': [],
'Status': 'Up 1 seconds'}]
```
## copy
Identical to the `docker cp` command. Get files/folders from the container.
**Params**:
* container (str): The container to copy from
* resource (str): The path within the container
**Returns** (str): The contents of the file as a string
## create_container
Creates a container that can then be `.start()` ed. Parameters are similar to
those for the `docker run` command except it doesn't support the attach
options (`-a`).
See [Port bindings](port-bindings.md) and [Using volumes](volumes.md) for more
information on how to create port bindings and volume mappings.
The `mem_limit` variable accepts float values (which represent the memory limit
of the created container in bytes) or a string with a units identification char
('100000b', 1000k', 128m', '1g'). If a string is specified without a units
character, bytes are assumed as an intended unit.
`volumes_from` and `dns` arguments raise [TypeError](
https://docs.python.org/3.4/library/exceptions.html#TypeError) exception if
they are used against v1.10 of docker remote API. Those arguments should be
passed to `start()` instead.
**Params**:
* image (str): The image to run
* command (str or list): The command to be run in the container
* hostname (str): Optional hostname for the container
* user (str or int): Username or UID
* detach (bool): Detached mode: run container in the background and print new
container Id
* stdin_open (bool): Keep STDIN open even if not attached
* tty (bool): Allocate a pseudo-TTY
* mem_limit (float or str): Memory limit (format: [number][optional unit],
where unit = b, k, m, or g)
* ports (list of ints): A list of port numbers
* environment (dict or list): A dictionary or a list of strings in the
following format `["PASSWORD=xxx"]` or `{"PASSWORD": "xxx"}`.
* dns (list): DNS name servers
* volumes (str or list):
* volumes_from (str or list): List of container names or Ids to get volumes
from. Optionally a single string joining container id's with commas
* network_disabled (bool): Disable networking
* name (str): A name for the container
* entrypoint (str or list): An entrypoint
* cpu_shares (int or float): CPU shares (relative weight)
* working_dir (str): Path to the working directory
* domainname (str or list): Set custom DNS search domains
* memswap_limit:
**Returns** (dict): A dictionary with an image 'Id' key and a 'Warnings' key.
```python
>>> from docker import Client
>>> cli = Client(base_url='tcp://127.0.0.1:2375')
>>> container = cli.create_container(image='busybox:latest', command='/bin/sleep 30')
>>> print(container)
{'Id': '8a61192da2b3bb2d922875585e29b74ec0dc4e0117fcbf84c962204e97564cd7',
'Warnings': None}
```
## diff
Inspect changes on a container's filesystem
**Params**:
* container (str): The container to diff
**Returns** (str):
## export
Export the contents of a filesystem as a tar archive to STDOUT
**Params**:
* container (str): The container to export
**Returns** (str): The filesystem tar archive as a str
## history
Show the history of an image
**Params**:
* image (str): The image to show history for
**Returns** (str): The history of the image
## images
List images. Identical to the `docker images` command.
**Params**:
* name (str): Optional filter for a name
* quiet (bool): Only show numeric Ids. Returns a list
* all (bool): Show all images (by default filter out the intermediate image
layers)
* viz: *Depreciated*
**Returns** (dict or list): A list if `quiet=True`, otherwise a dict.
```python
[{'Created': 1401926735,
'Id': 'a9eb172552348a9a49180694790b33a1097f546456d041b6e82e4d7716ddb721',
'ParentId': '120e218dd395ec314e7b6249f39d2853911b3d6def6ea164ae05722649f34b16',
'RepoTags': ['busybox:buildroot-2014.02', 'busybox:latest'],
'Size': 0,
'VirtualSize': 2433303},
...
```
## import_image
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.
**Params**:
* src (str or file): Path to tarfile or URL
* repository (str): The repository to create
* tag (str): The tag to apply
* image (str): Use another image like the `FROM` Dockerfile parameter
## info
Display system-wide information. Identical to the `docker info` command.
**Returns** (dict): The info as a dict
```
>>> from docker import Client
>>> cli = Client(base_url='tcp://127.0.0.1:2375')
>>> cli.info()
{'Containers': 3,
'Debug': 1,
'Driver': 'aufs',
'DriverStatus': [['Root Dir', '/mnt/sda1/var/lib/docker/aufs'],
['Dirs', '225']],
'ExecutionDriver': 'native-0.2',
'IPv4Forwarding': 1,
'Images': 219,
'IndexServerAddress': 'https://index.docker.io/v1/',
'InitPath': '/usr/local/bin/docker',
'InitSha1': '',
'KernelVersion': '3.16.1-tinycore64',
'MemoryLimit': 1,
'NEventsListener': 0,
'NFd': 11,
'NGoroutines': 12,
'OperatingSystem': 'Boot2Docker 1.2.0 (TCL 5.3);',
'SwapLimit': 1}
```
## insert
*DEPRECATED*
## inspect_container
Identical to the `docker inspect` command, but only for containers.
**Params**:
* container (str): The container to inspect
**Returns** (dict): Nearly the same output as `docker inspect`, just as a
single dict
## inspect_image
Identical to the `docker inspect` command, but only for images
**Params**:
* image_id (str): The image to inspect
**Returns** (dict): Nearly the same output as `docker inspect`, just as a
single dict
## kill
Kill a container or send a signal to a container
**Params**:
* container (str): The container to kill
* signal (str or int): The singal to send. Defaults to `SIGKILL`
## login
Nearly identical to the `docker login` command, but non-interactive.
**Params**:
* username (str): The registry username
* password (str): The plaintext password
* email (str): The email for the registry account
* registry (str): URL to the registry. Ex:`https://index.docker.io/v1/`
* reauth (bool): Whether refresh existing authentication on the docker server.
**Returns** (dict): The response from the login request
## logs
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.
**Params**:
* container (str): The container to get logs from
* stdout (bool): Get STDOUT
* stderr (bool): Get STDERR
* stream (bool): Stream the response
* timestamps (bool): Show timestamps
**Returns** (generator or str):
## ping
Hits the /_ping endpoint of the remote API and returns the result. An exception
will be raised if the endpoint isn't responding.
**Returns** (bool)
## port
Lookup the public-facing port that is NAT-ed to `private_port`. Identical to
the `docker port` command.
**Params**:
* container (str): The container to look up
* private_port (int): The private port to inspect
**Returns** (list of dict): The mapping for the host ports
```bash
$ docker run -d -p 80:80 ubuntu:14.04 /bin/sleep 30
7174d6347063a83f412fad6124c99cffd25ffe1a0807eb4b7f9cec76ac8cb43b
```
```python
>>> cli.port('7174d6347063', 80)
[{'HostIp': '0.0.0.0', 'HostPort': '80'}]
```
## pull
Identical to the `docker pull` command.
**Params**:
* repository (str): The repository to pull
* tag (str): The tag to pull
* stream (bool): Stream the output as a generator
* insecure_registry (bool): Use an insecure registry
**Returns** (generator or str): The output
```python
>>> from docker import Client
>>> cli = Client(base_url='tcp://127.0.0.1:2375')
>>> for line in cli.pull('busybox', stream=True):
... print(json.dumps(json.loads(line), indent=4))
{
"status": "Pulling image (latest) from busybox",
"progressDetail": {},
"id": "e72ac664f4f0"
}
{
"status": "Pulling image (latest) from busybox, endpoint: ...",
"progressDetail": {},
"id": "e72ac664f4f0"
}
```
## push
Push an image or a repository to the registry. Identical to the docker push
command
**Params**:
* repository (str): The repository to push to
* tag (str): An optional tag to push
* stream (bool): Stream the output as a blocking generator
* insecure_registry (bool): Use `http://` to connect to the registry
**Returns** (generator or str): The output of the upload
```python
>>> from docker import Client
>>> cli = Client(base_url='tcp://127.0.0.1:2375')
>>> response = [line for line in cli.push('yourname/app', stream=True)]
>>> response
['{"status":"Pushing repository yourname/app (1 tags)"}\\n',
'{"status":"Pushing","progressDetail":{},"id":"511136ea3c5a"}\\n',
'{"status":"Image already pushed, skipping","progressDetail":{},
"id":"511136ea3c5a"}\\n',
...
'{"status":"Pushing tag for rev [918af568e6e5] on {
https://cdn-registry-1.docker.io/v1/repositories/
yourname/app/tags/latest}"}\\n']
```
## remove_container
Remove a container. Similar to the `docker rm` command.
**Params**:
* container (str): The container to remove
* v (bool): Remove the volumes associated with the container
* link (bool): Remove the specified link and not the underlying container
* force (bool): Force the removal of a running container (uses SIGKILL)
## remove_image
Remove an image. Similar to the `docker rmi` command.
**Params**:
* image (str): The image to remove
* force (bool): Force removal of the image
* noprune (bool): Do not delete untagged parents
## restart
Restart a container. Similar to the `docker restart` command.
If `container` a dict, the `Id` key is used.
**Params**:
* container (str or dict): The container to restart
* timeout (int): Number of seconds to try to stop for before killing the
container. Once killed it will then be restarted. Default is 10 seconds.
## search
Identical to the `docker search` command.
**Params**:
* term (str): A term to search for
**Returns** (list of dicts): The response of the search
```python
>>> from docker import Client
>>> cli = Client(base_url='tcp://127.0.0.1:2375')
>>> response = cli.search('nginx')
>>> response[:2]
[{'description': 'Official build of Nginx.',
'is_official': True,
'is_trusted': False,
'name': 'nginx',
'star_count': 266},
{'description': 'Trusted automated Nginx (http://nginx.org/) ...',
'is_official': False,
'is_trusted': True,
'name': 'dockerfile/nginx',
'star_count': 60},
...
```
## start
Similar to the `docker start` command, but doesn't support attach options. Use
`.logs()` to recover `stdout`/`stderr`.
`binds` allows to bind a directory in the host to the container. See [Using
volumes](volumes.md) for more information. `port_bindings` exposes container
ports to the host. See [Port bindings](port-bindings.md) 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.
`dns` and `volumes_from` are only available if they are used with version v1.10
of docker remote API. Otherwise they are ignored.
`network_mode` is available since v1.11 and sets the Network mode for the
container ('bridge': creates a new network stack for the container on the
docker bridge, 'none': no networking for this container, 'container:[name|id]':
reuses another container network stack), 'host': use the host network stack
inside the container.
`restart_policy` is available since v1.2.0 and sets the RestartPolicy for how a
container should or should not be restarted on exit. By default the policy is
set to no meaning do not restart the container when it exits. The user may
specify the restart policy as a dictionary for example:
```python
{
"MaximumRetryCount": 0,
"Name": "always"
}
```
For always restarting the container on exit or can specify to restart the
container to restart on failure and can limit number of restarts. For example:
```python
{
"MaximumRetryCount": 5,
"Name": "on-failure"
}
```
`cap_add` and `cap_drop` are available since v1.2.0 and can be used to add or
drop certain capabilities. The user may specify the capabilities as an array
for example:
```python
[
"SYS_ADMIN",
"MKNOD"
]
```
**Params**:
* container (str): The container to start
* binds: Volumes to bind
* port_bindings (dict): Port bindings. See note above
* lxc_conf (dict): LXC config
* publish_all_ports (bool): Whether to publish all ports to the host
* links (dict or list of tuples): See note above
* privileged (bool): Give extended privileges to this container
* dns (list): Set custom DNS servers
* dns_search (list): DNS search domains
* volumes_from (str or list): List of container names or Ids to get volumes
from. Optionally a single string joining container id's with commas
* network_mode (str): One of `['bridge', None, 'container:<name|id>',
'host']`
* restart_policy (dict): See note above. "Name" param must be one of
`['on-failure', 'always']`
* cap_add (list of str): See note above
* cap_drop (list of str): See note above
```python
>>> from docker import Client
>>> cli = Client(base_url='tcp://127.0.0.1:2375')
>>> container = cli.create_container(
... image='busybox:latest',
... command='/bin/sleep 30')
>>> response = cli.start(container=container.get('Id'))
>>> print(response)
None
```
## stop
Stops a container. Similar to the `docker stop` command.
**Params**:
* container (str): The container to stop
* timeout (int): Timeout in seconds to wait for the container to stop before
sending a `SIGKILL`
## tag
Tag an image into a repository. Identical to the `docker tag` command.
**Params**:
* image (str): The image to tag
* repository (str): The repository to set for the tag
* tag (str): The tag name
* force (bool): Force
**Returns** (bool): True if successful
## top
Display the running processes of a container
**Params**:
* container (str): The container to inspect
**Returns** (str): The output of the top
```python
>>> from docker import Client
>>> cli = Client(base_url='tcp://127.0.0.1:2375')
>>> cli.create_container('busybox:latest', '/bin/sleep 30', name='sleeper')
>>> cli.start('sleeper')
>>> cli.top('sleeper')
{'Processes': [['952', 'root', '/bin/sleep 30']],
'Titles': ['PID', 'USER', 'COMMAND']}
```
<!---
TODO:
* events
* get_image
* load_image
* resize
* version
* wait
-->

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# Contributing
See the [Docker contributing guidelines](https://github.com/docker/docker/blob/master/CONTRIBUTING.md).
The following is specific to docker-py.
## Running the tests & Code Quality
To get the source source code and run the unit tests, run:
```
$ git clone git://github.com/docker/docker-py.git
$ cd docker-py
$ pip install tox
$ tox
```
## Building the docs
Docs are built with [MkDocs](http://www.mkdocs.org/). For development, you can
run the following in the project directory:
```
$ pip install -r docs-requirements.txt
$ mkdocs serve
```
## Release Checklist
Before a new release, please go through the following checklist:
* Bump version in docker/version.py
* Add a release note in docs/release_notes.md
* Git tag the version
* Upload to pypi
## Vulnerability Reporting
For any security issues, please do NOT file an issue or pull request on github!
Please contact [security@docker.com](mailto:security@docker.com) or read [the
Docker security page](https://www.docker.com/resources/security/).

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# docker-py documentation
An API client for docker written in Python
## Installation
Our latest stable is always available on PyPi.
pip install docker-py
## Documentation
Full documentation is available in the `/docs/` directory.
## License
Docker is licensed under the Apache License, Version 2.0. See LICENSE for full
license text

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# 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])
```
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',)})
```
If you wish to use UDP instead of TCP (default), you need to declare it
like such in both the `create_container()` and `start()` calls:
```python
container_id = c.create_container(
'busybox',
'ls',
ports=[(1111, 'udp'), 2222]
)
c.start(container_id, port_bindings={'1111/udp': 4567, 2222: None})
```

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# Release Notes
## v0.5.4
* This is the initial release of docker-py with MkDocs documentation.

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## Connection to daemon using HTTPS
**Note:** *These instructions are docker-py specific. Please refer to
[http://docs.docker.com/articles/https/](http://docs.docker.com/articles/https/)
first.*
## TLSConfig
**Params**:
* client_cert (tuple of str): Path to client cert, path to client key
* ca_cert (str): Path to CA cert file
* verify (bool or str): This can be `False` or a path to a CA Cert file
* ssl_version (int): A valid [SSL version](
https://docs.python.org/3.4/library/ssl.html#ssl.PROTOCOL_TLSv1)
* assert_hostname (bool): Verify hostname of docker daemon
### configure_client
**Params**:
* client: ([Client](api.md#client-api)): A client to apply this config to
## Authenticate server based on public/default CA pool
```python
client = docker.Client(base_url='<https_url>', tls=True)
```
Equivalent CLI options:
```bash
docker --tls ...
```
If you want to use TLS but don't want to verify the server certificate
(for example when testing with a self-signed certificate):
```python
tls_config = docker.tls.TLSConfig(verify=False)
client = docker.Client(base_url='<https_url>', tls=tls_config)
```
## Authenticate server based on given CA
```python
tls_config = docker.tls.TLSConfig(ca_cert='/path/to/ca.pem')
client = docker.Client(base_url='<https_url>', tls=tls_config)
```
Equivalent CLI options:
```bash
docker --tlsverify --tlscacert /path/to/ca.pem ...`
## Authenticate with client certificate, do not authenticate server based on given CA
```python
tls_config = docker.tls.TLSConfig(
client_cert=('/path/to/client-cert.pem', '/path/to/client-key.pem')
)
client = docker.Client(base_url='<https_url>', tls=tls_config)
```
Equivalent CLI options:
```bash
docker --tls --tlscert /path/to/client-cert.pem --tlskey /path/to/client-key.pem ...
```
## Authenticate with client certificate, authenticate server based on given CA
```python
tls_config = docker.tls.TLSConfig(
client_cert=('/path/to/client-cert.pem', '/path/to/client-key.pem'),
ca_cert='/path/to/ca.pem'
)
client = docker.Client(base_url='<https_url>', tls=tls_config)
```
Equivalent CLI options:
```bash
docker --tlsverify \
--tlscert /path/to/client-cert.pem \
--tlskey /path/to/client-key.pem \
--tlscacert /path/to/ca.pem ...
```

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# Using volumes
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/':
{
'bind': '/mnt/vol2',
'ro': False
},
'/var/www':
{
'bind': '/mnt/vol1',
'ro': True
}
})
```

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site_name: docker-py Documentation
site_description: An API client for docker written in Python
site_favicon: favicon_whale.png
# site_url: docker-py.readthedocs.org
repo_url: https://github.com/docker/docker-py/
theme: readthedocs
pages:
- [index.md, Home]
- [api.md, Client API]
- [port-bindings.md, Port Bindings]
- [volumes.md, Using Volumes]
- [tls.md, Using TLS]
- [release_notes.md, Release Notes]
- [contributing.md, Contributing]