To pull in real-time data, our proposal involves implementing a webhook-based solution for instant data transfer. This lets us receive updates instantly when a new event occurs on the client's server.
The following diagram outlines the proposed system architecture:
[Client's Server] --- (1) New Event ---> [Webhook Endpoint] --- (2) Process & Save ---> [Shared Database]
^ |
| |
--------------------------------- (3) Acknowledgement
Event: Whenever an event occurs, the client's server sends a POST request to our designated webhook endpoint with the transaction details.
Process & Save: Our server receives the request, processes the data, and stores it in our database.
Acknowledgment: After successfully processing and saving the data, our server sends an acknowledgment response back to the client's server.
Technical Details
Client Side
1. Webhook Endpoint on Client Server
The client's server must implement an API endpoint that will trigger whenever a bus ticket purchase is made. The endpoint will use a POST request to send data to our server. The API must provide the following data: ticket id, purchase price, purchase time, user email or id and any other necessary information.
Here's a Node.js based pseudocode of what the endpoint on the client's server could look like:
Our server has an endpoint ready to receive the data from the client's server. Once the data is received, it's processed and stored in our database. Here's a Node.js based pseudocode of how this could look:
const express = require('express');
const mongoose = require('mongoose');
const app = express();
const auth = require('basic-auth');
app.use(express.json());
// Set up database connection
mongoose.connect('mongodb://localhost:27017/ticket_db', { useNewUrlParser: true, useUnifiedTopology: true });
const db = mongoose.connection;
db.on('error', console.error.bind(console, 'connection error:'));
db.once('open', function() {
console.log("We're connected!");
});
const ticketSchema = new mongoose.Schema({}, { strict: false });
const Ticket = mongoose.model('Ticket', ticketSchema, 'ticket_data');
const authMiddleware = (req, res, next) => {
const credentials = auth(req);
if (!credentials || credentials.name !== 'your_username' || credentials.pass !== 'your_password') {
res.status(401).json({status: "error", message: "Access denied"});
} else {
next();
}
}
app.post('/webhook-endpoint', authMiddleware, async (req, res) => {
const incomingData = req.body;
// Data validation could go here
// Save data to our database
try {
await Ticket.create(incomingData);
res.status(200).json({status: "success"});
} catch (error) {
res.status(500).json({status: "error", message: error.message});
}
});
app.listen(3000, () => console.log('Server is listening on port 3000'));
3. Data Processing
Upon receiving a webhook call, our server will parse the data and perform necessary validations to ensure it's coming from the client's server. After successful validation, the data will be processed and structured in a format suitable for our database.
Here's a Node.js (Express) pseudocode example:
const express = require('express');
const app = express();
app.use(express.json());
app.post('/webhook-endpoint', (req, res) => {
const data = req.body;
// Validate incoming data
if (!data.ticket_id || !data.price || !data.purchase_time) {
return res.status(400).json({status: "error", message: "Missing required fields"});
}
// Process data if necessary (convert types, format date, etc.)
const processedData = {
ticket_id: String(data.ticket_id),
price: Number(data.price),
purchase_time: new Date(data.purchase_time),
user_id: String(data.user_id),
};
// Further operations with processedData
return res.status(200).json({status: "success"});
});
app.listen(3000, () => console.log('Server is listening on port 3000'));
4. Database Integration
The processed data will be saved into our database. Depending on the requirements, this could be a relational database like PostgreSQL or MySQL, or a NoSQL database like MongoDB.
We'll continue with Node.js, using the MongoDB native driver to store the data:
const express = require('express');
const MongoClient = require('mongodb').MongoClient;
const app = express();
app.use(express.json());
const client = new MongoClient('mongodb://localhost:27017/', { useUnifiedTopology: true });
let db, collection;
client.connect(err => {
if (err) throw err;
db = client.db('ticket_db');
collection = db.collection('ticket_data');
app.listen(3000, () => console.log('Server is listening on port 3000'));
});
app.post('/webhook-endpoint', (req, res) => {
const data = req.body;
// Validate incoming data
if (!data.ticket_id || !data.price || !data.purchase_time) {
return res.status(400).json({status: "error", message: "Missing required fields"});
}
// Process data if necessary (convert types, format date, etc.)
const processedData = {
ticket_id: String(data.ticket_id),
price: Number(data.price),
purchase_time: new Date(data.purchase_time),
user_id: String(data.user_id),
};
// Insert data into the database
collection.insertOne(processedData, (err, result) => {
if (err) throw err;
console.log(`Saved document with _id: ${result.insertedId}`);
return res.status(200).json({status: "success"});
});
});
In this expanded code, we have the webhook endpoint validating and processing the incoming data. The processed data is then inserted into our MongoDB database. The Express server and the MongoDB client are set up to start when the database connection is successfully established.
5. Acknowledgment
Once the data is successfully saved, an acknowledgment will be sent back to the client's server to confirm the successful processing of the transaction data.
Security Considerations
The webhook endpoint will be secured using HTTPS and a shared secret for data validation. This ensures that the data is securely transferred and comes from a trusted source.
Next Steps
Upon agreement, we will collaborate with your tech team to set up the webhook integration and customize it to your specific needs.
This solution allows for real-time integration with minimal latency, providing instant updates on purchase events. It's reliable and secure and will provide the necessary data for our loyalty reward program.
The outlined approach is a high-level view of the solution, and more technical details will be provided as we proceed with the implementation. We're confident in providing a robust, secure, and efficient real-time ticket purchase data integration solution.
