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 Ingestro 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:
- Install the Ingestro package
- Get your Ingestro license key
- Get the access token
- Implement the embeddable component in your application
- Configure the component based on your specific use case
Let's get started
Step 1: Install the Ingestro package
Installing the Ingestro package is super easy.
Install with NPM:
npm install @ingestro/pipelines-react
Install with Yarn:
yarn add @ingestro/pipelines-react
Install via CDN:
https://unpkg.com/@ingestro/pipelines-vanilla-js
Step 2: Get your Ingestro license key
You can get your Ingestro license key from the Ingestro User Platform.
If you don’t have an account yet, you can sign up here.
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:
- You want your internal users to create target data models
- You want your customers to to create target data models
You want your internal users to create target data models
- To get the access token for an internal user, you need to first create a user in the Ingestro User Platform or use the user API
- 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 -X 'POST' 'https://api-gateway.ingestro.com/dp/api/v1/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
- To get the access token for your customer, you need to first create a sub-organization (sub-org) via the sub-organization API
- 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 -X 'POST' 'https://api-gateway.ingestro.com/dp/api/v1/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 "@ingestro/pipelines-react";
import "@ingestro/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="ACCESS_TOKEN"
configuration={{
name: null,
}}
settings={{
i18nOverrides: {},
language: "en",
modal: false,
}}
onTargetDataModelCreate={({ data }) => {}}
onClose={() => {}}
onSuccessContinue={({ data }) => {
// runs when the user clicks the "Continue" button on the success screen
// data: object of the created target data model
}}
/>
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 embeddable (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
onSuccessContinue
Runs when the user clicks the "Continue" button on the success screen after successfully creating a target data model