datadog-checks-base 1.3.2

The Datadog Check Toolkit

# Datadog Checks Base

## Overview

This package provides the Python bits needed by the [Datadog Agent][1]
to run Agent-based Integrations (also known as _Checks_).

This _Check toolkit_ is used in two scenarios:

1. When used from within the Python interpreter embedded in the Agent, it
provides all the base classes and utilities needed by any Check.

2. When installed in a local environment with a regular Python interpreter, it
mocks the presence of a running Agent so checks can work in standalone mode,
mostly useful for testing and development.

## Installation

Checks from [integrations-core][2] already
use the toolkit in a transparent way when you run the tests with Tox but you can
install the toolkit locally and play with it:
```
pip install git+https://github.com/DataDog/datadog-agent-tk.git
```

## Development

Create a dedicated virtualenv and follow the instructions in this paragraph
to work with the check.

To install the check in dev mode:
```
pip install -e .[dev]
```

To build the wheel package:
```
python setup.py bdist_wheel
```

To run the tests, [install tox][3] and just run:
```
tox
```

## Troubleshooting
Need help? Contact [Datadog Support][4].

## Further Reading
Learn more about infrastructure monitoring and all our integrations on [our blog][5]


[1]: https://github.com/DataDog/datadog-agent
[2]: https://github.com/DataDog/integrations-core
[3]: http://tox.readthedocs.io/en/latest/install.html
[4]: http://docs.datadoghq.com/help/
[5]: https://www.datadoghq.com/blog/