tenint 0.1.0

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Tenable Integrations Framework Connector Library (Tenint)

The goal of the tenint library is to provide a simple and reliable way to build the common framework needed to build the connector so that the framework can load & run the connector code.

Currently the code connector code is in a working state, however the commandline interface is still being actively developed. Currently supported with the tenint command is the following commands:

# To initialize a project with an example connector.py & pyproject.toml file.
tenint init 

# To build the connector image for local launching within docker
tenint build

Basics of a connector

Connectors require at a minimum a Settings object, the Connector object loaded and pointed to you're main handler, and the app launcher in order to load the interface.

At the absolute minimum, you would need the following:

from tenint import Connector, Settings


class AppSettings(Settings):
	value: str


connector = Connector(settings=AppSettings)


@connector.job
def run_me(config: AppSettings):
	print(f"Hello World!  Launched with {config.value}")


if __name__ == '__main__':
	connector.app()

Settings

The Settings class is a pydantic model that you can setup with the settings that you wish to expose to the user within the TIF interface. It will use the model to generate a JSONSchema defintion that is used to paint that page.

Running you code locally (no docker)

To run the code above, there are two commands exposed, config and run

python connector.py config

python connector.py run -j "{"value": "some string"}"