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@jupiterone/graph-detectify
Advanced tools
You must have Node.JS installed to run this project. If you don't already have it installed, you can can download the installer here. You can alternatively install Node.JS using a version manager like fnm or nvm.
From the root of this project, run npm install to install dependencies. If you
have yarn installed, you can install dependencies by running yarn.
Create a .env file at the root of this project and add environment variables
to match what is in src/instanceConfigFields.json. The .env file is ignored
by git, so you won't have to worry about accidentally pushing credentials.
Given this example configuration:
{
"apiToken": {
"type": "string",
"mask": true
}
}
You would provide a .env file like this:
API_TOKEN=<secret>
The snake cased environment variables will automatically be converted and
applied to the camel cased configuration field. So for example, CLIENT_ID will
apply to the clientId config field, CLIENT_SECRET will apply to
clientSecret, and MY_SUPER_SECRET_CONFIGURATION_VALUE will apply to a
mySuperSecretConfigurationValue configuration field.
To start collecting data, run yarn start from the root of the project. This
will load in your configuration and execute the steps stored in src/steps.
This is the expected project structure for running integrations.
src/
/instanceConfigFields.json
/validateInvocation.ts
/getStepStartStates.ts
steps/
exampleStep.ts
// add additional steps here
Each of the files listed above contribute to creating an integration configuration.
Additional files can be placed under src and referenced from each of the
integration files.
The template project hosted here provides a simple example of how an integration can be setup.
Please reference the @jupiterone/integration-sdk
development documentation
for more information on how to build integrations.
FAQs
A graph conversion tool for https://detectify.com/
The npm package @jupiterone/graph-detectify receives a total of 44 weekly downloads. As such, @jupiterone/graph-detectify popularity was classified as not popular.
We found that @jupiterone/graph-detectify demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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