Metadata-Version: 2.0
Name: docker-links-python
Version: 0.1.0
Summary: A helper for parsing Docker link environment variables.
Home-page: https://github.com/JoakimSoderberg/docker-links-python
Author: Joakim Soderberg
Author-email: joakim.soderberg@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Software Development :: Libraries :: Python Modules

## Docker Links Environment Parser (Python version)

This is a Python rewrite of [docker-links](https://github.com/brotchie/docker-links) for nodejs by @brotchie.

[Docker](http://www.docker.io/) has a feature where you can [link containers together by name](http://docs.docker.io/en/latest/use/working_with_links_names/). For example, you start a redis-server in a docker container and expose the default redis port 6379:

    $ docker run -p 6379 -d -name redis vagrant/redis-server

You then start another containiner running a Django web service that needs to access this redis server:

    $ docker run --link redis:db -d vagrant/django

Docker will internally hook up these the two containers and pass host and port information to the Django web service via environment variables:

    DB_NAME=/romantic_lumiere/db
    DB_PORT=tcp://172.17.0.5:6379
    DB_PORT_6379_TCP=tcp://172.17.0.5:6379
    DB_PORT_6379_TCP_ADDR=172.17.0.5
    DB_PORT_6379_TCP_PORT=6379
    DB_PORT_6379_TCP_PROTO=tcp

This library provides a helper `parse_links` that will parse these environment variables into easily navigable Python dictionaries.

### Install

TODO...

### Example Usage

Consider a container that accesses three external services on two other containers. The first container exposes redis on port 6379 and postgres on 6500. The second container exposes redis on port 6379.

    DB_NAME=/romantic_lumiere/db
    DB_PORT=tcp://172.17.0.5:6379
    DB_PORT_6379_TCP=tcp://172.17.0.5:6379
    DB_PORT_6379_TCP_ADDR=172.17.0.5
    DB_PORT_6379_TCP_PORT=6379
    DB_PORT_6379_TCP_PROTO=tcp
    DB_PORT_6500_TCP=tcp://172.17.0.5:6500
    DB_PORT_6500_TCP_ADDR=172.17.0.5
    DB_PORT_6500_TCP_PORT=6500
    DB_PORT_6500_TCP_PROTO=tcp
    DB_REDIS_NAME=/romantic_lumiere/db_redis
    DB_REDIS_PORT=tcp://172.17.0.2:6379
    DB_REDIS_PORT_6379_TCP=tcp://172.17.0.2:6379
    DB_REDIS_PORT_6379_TCP_ADDR=172.17.0.2
    DB_REDIS_PORT_6379_TCP_PORT=6379
    DB_REDIS_PORT_6379_TCP_PROTO=tcp

Parse with `docker-links`:

```python
>> import docker_links
>> import os
>> links = docker_links.parse_links(os.environ)
```

Links is then the following object:

```python
>> print json.dumps(links, indent=4)
{
    "db": {
        "name": "romantic_lumiere/db",
        "proto": "tcp",
        "url": "tcp://172.17.0.5:6379",
        "hostname": "172.17.0.5",
        "tcp": {
            "6379": {
                "url": "tcp://172.17.0.5:6379",
                "hostname": "172.17.0.5"
            },
            "6500": {
                "url": "tcp://172.17.0.5:6500",
                "hostname": "172.17.0.5"
            }
        },
        "port": 6379
    },
    "db_redis": {
        "name": "romantic_lumiere/db_redis",
        "proto": "tcp",
        "url": "tcp://172.17.0.2:6379",
        "hostname": "172.17.0.2",
        "tcp": {
            "6379": {
                "url": "tcp://172.17.0.2:6379",
                "hostname": "172.17.0.2"
            }
        },
        "port": 6379
    }
}
```







