The Datadog Check Toolkit
Project description
Datadog Checks Base
Overview
This package provides the Python bits needed by the Datadog Agent to run Agent-based Integrations (also known as Checks).
This Check toolkit is used in two scenarios:
-
When used from within the Python interpreter embedded in the Agent, it provides all the base classes and utilities needed by any Check.
-
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 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 and just run:
tox
Troubleshooting
Need help? Contact Datadog Support.
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