Skip to main content

CreateTargetDataModel Embeddable Guide

The CreateTargetDataModel embeddable makes it easy to create target data models for your pipelines—whether for internal teams or customers. Like all nuvo pipeline components, it seamlessly integrates into your existing application with minimal effort.

This guide will help you implement the CreateTargetDataModel component and show how to configure it based on your specific requirements:

  1. Install the nuvo package
  2. Get your nuvo license key
  3. Get the access token
  4. Implement the embeddable component in your application
  5. Configure the component based on your specific use case

Let's get started​

Step 1: Install the nuvo package​

Installing the nuvo package is super easy.

Install the React package with NPM:

npm install @getnuvo/pipelines-react

Install it with Yarn:

yarn add @getnuvo/pipelines-react

Step 2: Get your nuvo license key​

You can get your nuvo license key from the nuvo User Platform.

If you don’t have an account yet, you can sign up here.

info

Please note that pipelines in development mode only send the first 100 rows to your defined output destination. If you would like to increase your quota, please contact us at [email protected].

Step 3: Get the access token​

In order to authorise yourself or rather the component you have to first get the access token via our authentication API.

You can get access tokens for two different cases:

  1. You want your internal users to create target data models
  2. You want your customers to to create target data models

You want your internal users to create target data models

  1. To get the access token for an internal user, you need to first create a user in the nuvo dashboard or use the user API
  2. Use the user’s email address and your license key to request the access token. Here is the cURL or JavaScript request you can use to get the access token:
cURL
Javascript
curl -X 'POST' 'https://api-gateway.getnuvo.com/dp/api/v1/auth/access-token' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "license_key": LICENSE_KEY,
  "auth": {
    "identifier": E-MAIL,
    "type": "USER"
  }
}' # Replace LICENSE_KEY with your license key & E-MAIL with a user`s email

You want your customers to create target data models

  1. To get the access token for your customer, you need to first create a sub-organization (sub-org) via the sub-organization API
  2. Use the sub-orgs’s identifier and your license key to retrieve the access token. Here is the cURL or JavaScript request you can use to retrieve the access token:
cURL
Javascript
curl -X 'POST' 'https://api-gateway.getnuvo.com/dp/api/v1/auth/access-token' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "license_key": LICENSE_KEY,
  "auth": {
    "identifier": SUB_ORG_IDENTIFIER,
    "type": "SUB_ORG"
  }
}'  # Replace LICENSE_KEY with your license key & SUB_ORG_IDENTIFIER with a sub-org identifier

Step 4: Implement the embeddable component in your application​

With the package installed, you can add the CreateTargetDataModel component to your application.

First, import the component in the file where you want to use the CreateTargetDataModel component:

import { CreateTargetDataModel } from "@getnuvo/pipelines-react";
import "@getnuvo/pipelines-react/index.css";

Step 5: Configure the component based on your specific use case​

Add the code snippet below and insert the component on the page where you want it to appear:

<CreateTargetDataModel
    accessToken=string
    configuration={{
        name: "ACCESS_TOKEN"
		}}
    settings={{
        i18nOverrides: {},
        language: "en",
        modal: false
    }}
    onTargetDataModelCreate={({data}) => {}}
    onClose={() => {}}
/>

accessToken

Add here the access token you’ve got in Step 3

configuration

The configuration determines if certain settings, such as name of the target data model, are already set.

name

Add here the name for the new target data model

settings

i18nOverrides

Allows you to override each text element in the interface

language

Defines the language of the flow. So far we only support English ("en")

modal

Defines whether the component is shown inline (false) or within a modal view (true)

onTargetDataModelCreate

Runs after the user has confirmed the final step of the flow to create a target data model

onClose

Runs when the user trys to close the modal by using the "X" button or clicking outside the modal