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@jupiterone/graph-google-cloud

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@jupiterone/graph-google-cloud

A graph conversion tool for https://cloud.google.com/

  • 3.11.4
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  • npm
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graph-google-cloud

Development Environment

Prerequisites

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.

Setup

Installing dependencies

From the root of this project, run npm install to install dependencies.

Loading credentials

Create a .env file at the root of this project and add environment variables to match what is in src/instanceConfigFields.ts. The .env file is ignored by git, so you won't have to worry about accidentally pushing credentials.

Given this example configuration:

import { IntegrationInstanceConfigFieldMap } from '@jupiterone/integration-sdk-core';

const instanceConfigFields: IntegrationInstanceConfigFieldMap = {
  clientId: {
    type: 'string',
  },
  clientSecret: {
    type: 'string',
    mask: true,
  },
};

export default instanceConfigFields;

You would provide a .env file like this:

CLIENT_ID="client-id"
CLIENT_SECRET="supersecret"

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.

Running the integration

To start collecting data, run npm run start from the root of the project. This will load in your configuration from src/index.ts.

Documentation

Development

Please reference the JupiterOne integration development documentation for more information on how to use the SDK.

See docs/development.md for details about how to get started with developing this integration.

Integration usage and resource coverage

More information about the resources covered by this integration and how to setup the integration in JupiterOne can be found in docs/jupiterone.md.

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Package last updated on 06 Sep 2024

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