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Core Components:
a. Referral Link Generator
b. Referral Tracker
c. Reward Manager
d. API Layer
Microservice Architecture:
Use a RESTful API design with the following endpoints:
POST /generate-link
GET /referral-stats/{userId}
POST /track-click
POST /verify-referral
GET /rewards/{userId}
POST /claim-reward
Implementation Steps:
a. Set up a lightweight web framework (e.g., Flask for Python, Express for Node.js)
b. Implement the core components as separate modules
c. Create a database schema to store user referrals, clicks, and rewards
d. Develop the API endpoints
e. Implement authentication and authorization
f. Create documentation for easy integration
Key Features:
a. Generate unique referral links for each user
b. Track clicks on referral links
c. Verify referrals based on custom criteria
d. Manage and distribute rewards
e. Provide real-time statistics
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
console.log(Server is running on port ${PORT});
});
Now, let's break down the implementation steps and features:
Implementation Steps: a. Set up Express.js as the web framework b. Implement core components as separate modules (referralGenerator.js, referralTracker.js, rewardManager.js) c. Use a database (e.g., MongoDB) to store user referrals, clicks, and rewards d. Develop API endpoints as shown in the code e. Implement authentication middleware (auth.js) f. Create documentation for API usage (can be done using tools like Swagger)
Key Features: a. Generate unique referral links (implemented in referralGenerator.js) b. Track clicks on referral links (implemented in referralTracker.js) c. Verify referrals based on custom criteria (implemented in referralTracker.js) d. Manage and distribute rewards (implemented in rewardManager.js) e. Provide real-time statistics (implemented in GET /referral-stats/:userId)
Integration Guidelines: a. Provide clear documentation on how to use the API (can be done using Swagger or a similar tool) b. Offer sample code for common programming languages (can be included in the documentation) c. Create a client library for easy integration (can be a separate npm package) d. Implement webhook support for real-time updates (can be added as an additional feature)
Scalability and Performance: a. Use caching for frequently accessed data (can be implemented using Redis) b. Implement database indexing for faster queries (depends on the chosen database) c. Consider using a message queue for asynchronous processing (e.g., RabbitMQ or Apache Kafka) d. Design the system to be horizontally scalable (can be achieved by containerizing the application and using a container orchestration system like Kubernetes)
Security Considerations: a. Implement rate limiting to prevent abuse (can be done using a middleware like express-rate-limit) b. Use HTTPS for all API communications (can be enforced in production environments) c. Implement proper authentication and authorization (partially implemented with the authenticateUser middleware) d. Sanitize and validate all input data (can be done using a library like express-validator)
To complete this implementation, you would need to create the separate modules (referralGenerator.js, referralTracker.js, rewardManager.js, and auth.js) and implement the actual logic for generating links, tracking clicks, verifying referrals, managing rewards, and handling authentication.
async function getRewards(userId) {
try {
const user = await User.findById(userId).populate('rewards');
if (!user) {
throw new Error('User not found');
}
These modules provide a basic implementation of the core functionality for your referral system microservice. Here are a few additional notes:
You'll need to set up your database models (User, ReferralLink, Click, Referral, Reward, ClaimedReward) using an ORM like Mongoose if you're using MongoDB.
The auth.js module assumes you're using JWT for authentication. You'll need to implement a login system that generates these tokens.
Error handling in these modules is basic. In a production system, you'd want to implement more robust error handling and logging.
The reward system implemented here is simple. You might want to expand it to include different types of rewards, tiers, or point systems.
For production use, you should implement proper input validation and sanitization for all incoming data.
Consider implementing caching for frequently accessed data to improve performance.
Implement proper logging throughout the system for debugging and monitoring purposes.
To complete the system, you'll need to:
Set up your database and create the necessary models.
Implement any additional business logic specific to your referral system.
Add more robust error handling and logging.
Implement additional security measures like rate limiting and input validation.
Create comprehensive API documentation.
Set up testing for all components of the system.
Integration Guidelines:
a. Provide clear documentation on how to use the API
b. Offer sample code for common programming languages
c. Create a client library for easy integration
d. Implement webhook support for real-time updates
Scalability and Performance:
a. Use caching for frequently accessed data
b. Implement database indexing for faster queries
c. Consider using a message queue for asynchronous processing
d. Design the system to be horizontally scalable
Security Considerations:
a. Implement rate limiting to prevent abuse
b. Use HTTPS for all API communications
c. Implement proper authentication and authorization
d. Sanitize and validate all input data
Set up your database and create the necessary models:
async defaultNotificationSystem(user, message) {
console.log(Notification for user ${user._id}: ${message});
// In a real system, you might send an email or push notification here
}
This approach allows the backend of the system you're integrating with to overwrite the logic and flow of the referral system while maintaining a consistent interface.
https://www.youtube.com/watch?v=9_Cw_hj2gno
high-level design for the microservice:-
Core Components:
a. Referral Link Generator
b. Referral Tracker
c. Reward Manager
d. API Layer
Microservice Architecture:
Use a RESTful API design with the following endpoints:
POST /generate-link
GET /referral-stats/{userId}
POST /track-click
POST /verify-referral
GET /rewards/{userId}
POST /claim-reward
Implementation Steps:
a. Set up a lightweight web framework (e.g., Flask for Python, Express for Node.js)
b. Implement the core components as separate modules
c. Create a database schema to store user referrals, clicks, and rewards
d. Develop the API endpoints
e. Implement authentication and authorization
f. Create documentation for easy integration
Key Features:
a. Generate unique referral links for each user
b. Track clicks on referral links
c. Verify referrals based on custom criteria
d. Manage and distribute rewards
e. Provide real-time statistics
Sample Code Structure (Python with Flask):
const express = require('express');
const bodyParser = require('body-parser');
const { generateLink } = require('./referralGenerator');
const { trackClick, verifyReferral } = require('./referralTracker');
const { getRewards, claimReward } = require('./rewardManager');
const { authenticateUser } = require('./auth');
const app = express();
app.use(bodyParser.json());
// Middleware for authentication
app.use(authenticateUser);
// Generate referral link
app.post('/generate-link', (req, res) => {
const userId = req.body.user_id;
const link = generateLink(userId);
res.json({ referral_link: link });
});
// Get referral stats
app.get('/referral-stats/:userId', (req, res) => {
const userId = req.params.userId;
// Implement fetching referral stats
// This is a placeholder implementation
const stats = { clicks: 10, verified_referrals: 5 };
res.json(stats);
});
// Track click
app.post('/track-click', (req, res) => {
const { referral_link } = req.body;
const result = trackClick(referral_link);
res.json(result);
});
// Verify referral
app.post('/verify-referral', (req, res) => {
const { referral_link, new_user_id } = req.body;
const result = verifyReferral(referral_link, new_user_id);
res.json(result);
});
// Get rewards
app.get('/rewards/:userId', (req, res) => {
const userId = req.params.userId;
const rewards = getRewards(userId);
res.json(rewards);
});
// Claim reward
app.post('/claim-reward', (req, res) => {
const { user_id, reward_id } = req.body;
const result = claimReward(user_id, reward_id);
res.json(result);
});
// Error handling middleware
app.use((err, req, res, next) => {
console.error(err.stack);
res.status(500).json({ error: 'Something went wrong!' });
});
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
console.log(
Server is running on port ${PORT}
);});
Now, let's break down the implementation steps and features:
Implementation Steps: a. Set up Express.js as the web framework b. Implement core components as separate modules (referralGenerator.js, referralTracker.js, rewardManager.js) c. Use a database (e.g., MongoDB) to store user referrals, clicks, and rewards d. Develop API endpoints as shown in the code e. Implement authentication middleware (auth.js) f. Create documentation for API usage (can be done using tools like Swagger)
Key Features: a. Generate unique referral links (implemented in referralGenerator.js) b. Track clicks on referral links (implemented in referralTracker.js) c. Verify referrals based on custom criteria (implemented in referralTracker.js) d. Manage and distribute rewards (implemented in rewardManager.js) e. Provide real-time statistics (implemented in GET /referral-stats/:userId)
Integration Guidelines: a. Provide clear documentation on how to use the API (can be done using Swagger or a similar tool) b. Offer sample code for common programming languages (can be included in the documentation) c. Create a client library for easy integration (can be a separate npm package) d. Implement webhook support for real-time updates (can be added as an additional feature)
Scalability and Performance: a. Use caching for frequently accessed data (can be implemented using Redis) b. Implement database indexing for faster queries (depends on the chosen database) c. Consider using a message queue for asynchronous processing (e.g., RabbitMQ or Apache Kafka) d. Design the system to be horizontally scalable (can be achieved by containerizing the application and using a container orchestration system like Kubernetes)
Security Considerations: a. Implement rate limiting to prevent abuse (can be done using a middleware like express-rate-limit) b. Use HTTPS for all API communications (can be enforced in production environments) c. Implement proper authentication and authorization (partially implemented with the authenticateUser middleware) d. Sanitize and validate all input data (can be done using a library like express-validator)
To complete this implementation, you would need to create the separate modules (referralGenerator.js, referralTracker.js, rewardManager.js, and auth.js) and implement the actual logic for generating links, tracking clicks, verifying referrals, managing rewards, and handling authentication.
referralGenerator.js
const crypto = require('crypto');
function generateLink(userId) {
const timestamp = Date.now();
const hash = crypto.createHash('md5').update(
${userId}-${timestamp}
).digest('hex');return
<https://yourdomain.com/refer/${userId}/${hash}
;>}
module.exports = { generateLink };
referralTracker.js
const { ReferralLink, Click, Referral } = require('./models'); // Assuming you're using Mongoose for MongoDB
async function trackClick(referralLink) {
try {
const link = await ReferralLink.findOne({ url: referralLink });
if (!link) {
throw new Error('Invalid referral link');
}
} catch (error) {
return { success: false, message: error.message };
}
}
async function verifyReferral(referralLink, newUserId) {
try {
const link = await ReferralLink.findOne({ url: referralLink });
if (!link) {
throw new Error('Invalid referral link');
}
} catch (error) {
return { success: false, message: error.message };
}
}
module.exports = { trackClick, verifyReferral };
rewardManager.js
const { User, Reward, ClaimedReward } = require('./models');
async function getRewards(userId) {
try {
const user = await User.findById(userId).populate('rewards');
if (!user) {
throw new Error('User not found');
}
} catch (error) {
return { error: error.message };
}
}
async function claimReward(userId, rewardId) {
try {
const user = await User.findById(userId);
if (!user) {
throw new Error('User not found');
}
} catch (error) {
return { success: false, message: error.message };
}
}
module.exports = { getRewards, claimReward };
auth.js
const jwt = require('jsonwebtoken');
function authenticateUser(req, res, next) {
const authHeader = req.headers.authorization;
if (!authHeader) {
return res.status(401).json({ error: 'No token provided' });
}
const token = authHeader.split(' ')[1];
try {
const decoded = jwt.verify(token, process.env.JWT_SECRET);
req.user = decoded;
next();
} catch (error) {
return res.status(401).json({ error: 'Invalid token' });
}
}
module.exports = { authenticateUser };
These modules provide a basic implementation of the core functionality for your referral system microservice. Here are a few additional notes:
You'll need to set up your database models (User, ReferralLink, Click, Referral, Reward, ClaimedReward) using an ORM like Mongoose if you're using MongoDB.
The auth.js module assumes you're using JWT for authentication. You'll need to implement a login system that generates these tokens.
Error handling in these modules is basic. In a production system, you'd want to implement more robust error handling and logging.
The reward system implemented here is simple. You might want to expand it to include different types of rewards, tiers, or point systems.
For production use, you should implement proper input validation and sanitization for all incoming data.
Consider implementing caching for frequently accessed data to improve performance.
Implement proper logging throughout the system for debugging and monitoring purposes.
To complete the system, you'll need to:
Set up your database and create the necessary models.
Implement any additional business logic specific to your referral system.
Add more robust error handling and logging.
Implement additional security measures like rate limiting and input validation.
Create comprehensive API documentation.
Set up testing for all components of the system.
Integration Guidelines:
a. Provide clear documentation on how to use the API
b. Offer sample code for common programming languages
c. Create a client library for easy integration
d. Implement webhook support for real-time updates
Scalability and Performance:
a. Use caching for frequently accessed data
b. Implement database indexing for faster queries
c. Consider using a message queue for asynchronous processing
d. Design the system to be horizontally scalable
Security Considerations:
a. Implement rate limiting to prevent abuse
b. Use HTTPS for all API communications
c. Implement proper authentication and authorization
d. Sanitize and validate all input data
Set up your database and create the necessary models:
First, install the required packages:
npm install mongoose
Now, let's create the models:
// models/index.js
const mongoose = require('mongoose');
// User Model
const UserSchema = new mongoose.Schema({
email: { type: String, required: true, unique: true },
referralCode: { type: String, unique: true },
referralCount: { type: Number, default: 0 },
clickCount: { type: Number, default: 0 },
rewards: [{ type: mongoose.Schema.Types.ObjectId, ref: 'Reward' }],
claimedRewards: [{ type: mongoose.Schema.Types.ObjectId, ref: 'ClaimedReward' }],
});
// ReferralLink Model
const ReferralLinkSchema = new mongoose.Schema({
userId: { type: mongoose.Schema.Types.ObjectId, ref: 'User' },
url: { type: String, required: true, unique: true },
clickCount: { type: Number, default: 0 },
conversionCount: { type: Number, default: 0 },
});
// Click Model
const ClickSchema = new mongoose.Schema({
referralLink: { type: mongoose.Schema.Types.ObjectId, ref: 'ReferralLink' },
timestamp: { type: Date, default: Date.now },
});
// Referral Model
const ReferralSchema = new mongoose.Schema({
referrer: { type: mongoose.Schema.Types.ObjectId, ref: 'User' },
newUser: { type: mongoose.Schema.Types.ObjectId, ref: 'User' },
referralLink: { type: mongoose.Schema.Types.ObjectId, ref: 'ReferralLink' },
timestamp: { type: Date, default: Date.now },
status: { type: String, enum: ['pending', 'completed', 'rejected'], default: 'pending' },
});
// Reward Model
const RewardSchema = new mongoose.Schema({
name: { type: String, required: true },
description: { type: String },
requiredReferrals: { type: Number, required: true },
value: { type: Number },
});
// ClaimedReward Model
const ClaimedRewardSchema = new mongoose.Schema({
user: { type: mongoose.Schema.Types.ObjectId, ref: 'User' },
reward: { type: mongoose.Schema.Types.ObjectId, ref: 'Reward' },
claimedAt: { type: Date, default: Date.now },
});
const User = mongoose.model('User', UserSchema);
const ReferralLink = mongoose.model('ReferralLink', ReferralLinkSchema);
const Click = mongoose.model('Click', ClickSchema);
const Referral = mongoose.model('Referral', ReferralSchema);
const Reward = mongoose.model('Reward', RewardSchema);
const ClaimedReward = mongoose.model('ClaimedReward', ClaimedRewardSchema);
module.exports = { User, ReferralLink, Click, Referral, Reward, ClaimedReward };
Implement default referral system behavior with customization ability:
Create a new file called referralSystem.js:
// referralSystem.js
const { User, ReferralLink, Click, Referral, Reward, ClaimedReward } = require('./models');
class ReferralSystem {
constructor(options = {}) {
this.options = {
referralValidation: options.referralValidation || this.defaultReferralValidation,
rewardCalculation: options.rewardCalculation || this.defaultRewardCalculation,
notificationSystem: options.notificationSystem || this.defaultNotificationSystem,
};
}
async generateReferralLink(userId) {
const user = await User.findById(userId);
if (!user) {
throw new Error('User not found');
}
}
async trackClick(referralCode) {
const referralLink = await ReferralLink.findOne({ url: { $regex: referralCode } });
if (!referralLink) {
throw new Error('Invalid referral link');
}
}
async processReferral(referralCode, newUserId) {
const referralLink = await ReferralLink.findOne({ url: { $regex: referralCode } });
if (!referralLink) {
throw new Error('Invalid referral link');
}
}
async claimReward(userId, rewardId) {
const user = await User.findById(userId);
const reward = await Reward.findById(rewardId);
}
// Default implementations
async defaultReferralValidation(referralLink, newUserId) {
const existingReferral = await Referral.findOne({ newUser: newUserId });
return !existingReferral;
}
async defaultRewardCalculation(user) {
const rewardTiers = [
{ count: 5, reward: 'Bronze' },
{ count: 10, reward: 'Silver' },
{ count: 20, reward: 'Gold' },
];
}
async defaultNotificationSystem(user, message) {
console.log(
Notification for user ${user._id}: ${message}
);// In a real system, you might send an email or push notification here
}
generateUniqueCode() {
return Math.random().toString(36).substring(2, 15);
}
}
module.exports = ReferralSystem;
This ReferralSystem class provides a default implementation of a referral system. It allows for customization of key behaviors:
referralValidation: Determines if a referral is valid.
rewardCalculation: Calculates rewards based on referral count.
notificationSystem: Handles notifications to users.
To use this system with default behavior:
const ReferralSystem = require('./referralSystem');
const referralSystem = new ReferralSystem();
To customize the behavior, you can pass options when creating the ReferralSystem instance:
const customReferralSystem = new ReferralSystem({
referralValidation: async (referralLink, newUserId) => {
// Custom validation logic
},
rewardCalculation: async (user) => {
// Custom reward calculation logic
},
notificationSystem: async (user, message) => {
// Custom notification logic
}
});
This approach allows the backend of the system you're integrating with to overwrite the logic and flow of the referral system while maintaining a consistent interface.
To use this in your Express.js app:
const express = require('express');
const ReferralSystem = require('./referralSystem');
const app = express();
const referralSystem = new ReferralSystem();
app.post('/generate-link', async (req, res) => {
try {
const link = await referralSystem.generateReferralLink(req.body.userId);
res.json({ success: true, link });
} catch (error) {
res.status(400).json({ success: false, message: error.message });
}
});
app.post('/track-click', async (req, res) => {
try {
const result = await referralSystem.trackClick(req.body.referralCode);
res.json(result);
} catch (error) {
res.status(400).json({ success: false, message: error.message });
}
});
app.post('/process-referral', async (req, res) => {
try {
const result = await referralSystem.processReferral(req.body.referralCode, req.body.newUserId);
res.json(result);
} catch (error) {
res.status(400).json({ success: false, message: error.message });
}
});
app.post('/claim-reward', async (req, res) => {
try {
const result = await referralSystem.claimReward(req.body.userId, req.body.rewardId);
res.json(result);
} catch (error) {
res.status(400).json({ success: false, message: error.message });
}
});
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