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Add README/LICENSE for vendored lib
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1 change: 1 addition & 0 deletions MANIFEST.in
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include docs/README.rst LICENSE requirements/*
include pontoon/lib/data/*/*
include pontoon/lib/LICENSE.txt
2 changes: 2 additions & 0 deletions README.md
Expand Up @@ -145,6 +145,8 @@ $ apt-get update
$ apt-get install bats
```

The main project is MIT licensed, and the bundled library inherits LGPLv3.

### Debugging

Set the `DEBUG` environment variable (to anything) to enable debug output for pontoon.
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165 changes: 165 additions & 0 deletions pontoon/lib/LICENSE.txt
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GNU LESSER GENERAL PUBLIC LICENSE
Version 3, 29 June 2007

Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.


This version of the GNU Lesser General Public License incorporates
the terms and conditions of version 3 of the GNU General Public
License, supplemented by the additional permissions listed below.

0. Additional Definitions.

As used herein, "this License" refers to version 3 of the GNU Lesser
General Public License, and the "GNU GPL" refers to version 3 of the GNU
General Public License.

"The Library" refers to a covered work governed by this License,
other than an Application or a Combined Work as defined below.

An "Application" is any work that makes use of an interface provided
by the Library, but which is not otherwise based on the Library.
Defining a subclass of a class defined by the Library is deemed a mode
of using an interface provided by the Library.

A "Combined Work" is a work produced by combining or linking an
Application with the Library. The particular version of the Library
with which the Combined Work was made is also called the "Linked
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The "Minimal Corresponding Source" for a Combined Work means the
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111 changes: 111 additions & 0 deletions pontoon/lib/README.md
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#python-digitalocean
##

This library provides easy access to Digital Ocean APIs to deploy droplets, images and more.

[![](https://travis-ci.org/koalalorenzo/python-digitalocean.svg)](https://travis-ci.org/koalalorenzo/python-digitalocean)

<div align="center">

<iframe src="http://ghbtns.com/github-btn.html?user=koalalorenzo&repo=python-digitalocean&type=follow&size=large&count=true"
allowtransparency="true" frameborder="0" scrolling="0" width="220" height="30"></iframe>

<iframe src="http://ghbtns.com/github-btn.html?user=koalalorenzo&repo=python-digitalocean&type=watch&size=large&count=true"
allowtransparency="true" frameborder="0" scrolling="0" width="150" height="30"></iframe>

</div>

## How to install

You can install python-digitalocean using **pip**

pip install -U python-digitalocean

or via sources:

python setup.py install

## Features
python-digitalocean support all the features provided via digitalocean.com APIs, such as:

* Get user's Droplets
* Get user's Images (Snapshot and Backups)
* Get public Images
* Get Droplet's event status
* Create and Remove a Droplet
* Resize a Droplet
* Shutdown, restart and boot a Droplet
* Power off, power on and "power cycle" a Droplet
* Perform Snapshot
* Enable/Disable automatic Backups
* Restore root password of a Droplet


## Examples
### Shutdown all droplets

This example shows how to shutdown all the active droplets:

```python
import digitalocean
manager = digitalocean.Manager(token="secretspecialuniquesnowflake")
my_droplets = manager.get_all_droplets()
for droplet in my_droplets:
droplet.shutdown()
```

### Creating a Droplet and checking its status

This example shows how to create a droplet and how to check its status

```python
import digitalocean
droplet = digitalocean.Droplet(token="secretspecialuniquesnowflake",
name='Example',
region='nyc2', # New York 2
image='ubuntu-14-04-x64', # Ubuntu 14.04 x64
size_slug='512mb', # 512MB
backups=True)
droplet.create()
```

### Checking the status of the droplet
```python
actions = droplet.get_actions()
for action in actions:
action.load()
# Once it shows complete, droplet is up and running
print action.status
```

## Testing

### Test using Docker
To test this python-digitalocean you can use [docker](https://www.docker.com) to have a **clean environment automatically**. First you have to build the container by running in your shell on the repository directory:

docker build -t "pdo-tests" .

Then you can run all the tests (for both python 2 and python 3)

docker run pdo-tests

**Note**: This will use Ubuntu 14.04 as base and use your repository to run tests. So every time you edit some files, please run these commands to perform tests on your changes.

### Testing using pytest manually
Use [pytest](http://pytest.org/) to perform testing. It is recommended to use a dedicated virtualenv to perform tests, using these commands:

$ virtualenv /tmp/digitalocean_env
$ source /tmp/digitalocean_env/bin/activate
$ pip install -r requirements.txt

To run all the tests manually use py.test command:

$ py.test


## Links

* GitHub: [https://github.com/koalalorenzo/python-digitalocean](https://github.com/koalalorenzo/python-digitalocean)
* PyPi page: [https://pypi.python.org/pypi/python-digitalocean/](https://pypi.python.org/pypi/python-digitalocean/)
* Author Website: [http://who.is.lorenzo.setale.me/?](http://setale.me/)
* Author Blog: [http://blog.setale.me/](http://blog.setale.me/)

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