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Mortgage Data Entry and Verification System - Backend

Overview

A NestJS-based backend API for mortgage data entry and verification system. Provides comprehensive data management, search capabilities, audit trails, and real-time collaboration features.

πŸš€ Features

Core Functionality

  • RESTful API: Complete CRUD operations for mortgage records
  • AutoComplete Search: Vector-based full-text search with pagination
  • Record Locking: Prevents concurrent editing with automatic timeout
  • Batch Management: Organize records into daily/weekly batches
  • Audit Trails: Complete action logging for compliance
  • Authentication: JWT-based secure access control
  • Database Integration: PostgreSQL with TypeORM

Advanced Features

  • Vector Search: Full-text search across multiple fields
  • Pagination: Efficient large dataset handling
  • Field Validation: Input sanitization and validation
  • Scheduled Tasks: Automatic cleanup of expired locks
  • County Integration: Automated county website URL generation
  • Statistics API: Real-time record count and status metrics

πŸ› οΈ Technology Stack

  • NestJS 10.0.0: Node.js framework
  • TypeORM 0.3.20: Database ORM
  • PostgreSQL: Primary database
  • JWT: Authentication
  • bcrypt: Password hashing
  • class-validator: Input validation
  • @nestjs/schedule: Cron jobs

πŸ“‹ Prerequisites

  • Node.js (v16 or higher)
  • PostgreSQL (v12 or higher)
  • npm or yarn

βš™οΈ Installation & Setup

  1. Clone the repository

    git clone https://github.com/pintu544/Data-Entry-and-Verification-System
    cd mortgage-data
  2. Install dependencies

    npm install
  3. Database Setup

    # Install PostgreSQL and create database
    createdb mortgage_data
  4. Environment Configuration Create .env file:

    DATABASE_HOST=localhost
    DATABASE_PORT=5432
    DATABASE_USER=postgres
    DATABASE_PASSWORD=postgres
    DATABASE_NAME=mortgage_data
    JWT_SECRET=your_jwt_secret_key_here
    NODE_ENV=development
  5. Start the development server

    npm run start:dev
  6. API Access Backend runs on http://localhost:3000

πŸ§ͺ Testing & Verification

Automated Tests

# Run unit tests
npm run test

# Run e2e tests
npm run test:e2e

# Run specific test file
npm run test -- records.service.spec.ts

Manual API Testing

βœ… Authentication

# Login (get JWT token)
curl -X POST http://localhost:3000/auth/login \
  -H "Content-Type: application/json" \
  -d '{"username":"test","password":"secret"}'

βœ… Records Management

# Create record
curl -X POST http://localhost:3000/records \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  -d '{
    "property_address": "123 Main St",
    "transaction_date": "2024-01-15",
    "borrower_name": "John Doe",
    "loan_amount": 300000,
    "sales_price": 350000,
    "down_payment": 50000,
    "apn": "123-456-789",
    "entered_by": "user123"
  }'

# Search records
curl "http://localhost:3000/records/search?query=Main St&page=1&limit=10" \
  -H "Authorization: Bearer <token>"

# Get record by ID
curl http://localhost:3000/records/<record-id> \
  -H "Authorization: Bearer <token>"

βœ… AutoComplete

# Test autocomplete for property address
curl "http://localhost:3000/records/autocomplete/property_address?q=123&limit=10" \
  -H "Authorization: Bearer <token>"

# Test autocomplete for borrower name
curl "http://localhost:3000/records/autocomplete/borrower_name?q=John&limit=5" \
  -H "Authorization: Bearer <token>"

βœ… Record Locking

# Lock record
curl -X PUT http://localhost:3000/records/<record-id>/lock \
  -H "Authorization: Bearer <token>"

# Unlock record
curl -X PUT http://localhost:3000/records/<record-id>/unlock \
  -H "Authorization: Bearer <token>"

# Verify record (Good/Bad)
curl -X PUT http://localhost:3000/records/<record-id>/verify \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  -d '{"isGood": true}'

βœ… Statistics

# Get record statistics
curl http://localhost:3000/records/statistics \
  -H "Authorization: Bearer <token>"

βœ… Batches

# Create batch
curl -X POST http://localhost:3000/batches \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  -d '{"batch_name": "2024-01-15-Daily", "batch_type": "Daily"}'

# Get all batches
curl http://localhost:3000/batches \
  -H "Authorization: Bearer <token>"

Database Verification

-- Check tables created
\dt

-- Verify record structure
\d records

-- Check sample data
SELECT id, property_address, borrower_name, status FROM records LIMIT 5;

-- Verify audit logs
SELECT * FROM audit_logs ORDER BY timestamp DESC LIMIT 10;

-- Check indexes
\di

πŸ“ Project Structure

src/
β”œβ”€β”€ auth/                        # Authentication module
β”‚   β”œβ”€β”€ auth.controller.ts
β”‚   β”œβ”€β”€ auth.service.ts
β”‚   β”œβ”€β”€ jwt.strategy.ts
β”‚   └── interfaces/
β”œβ”€β”€ records/                     # Records management
β”‚   β”œβ”€β”€ entities/record.entity.ts
β”‚   β”œβ”€β”€ dto/
β”‚   β”œβ”€β”€ records.controller.ts
β”‚   └── records.service.ts
β”œβ”€β”€ batches/                     # Batch management
β”œβ”€β”€ audit-logs/                  # Audit trail
β”œβ”€β”€ users/                       # User management
β”œβ”€β”€ common/                      # Shared utilities
β”‚   β”œβ”€β”€ decorators/
β”‚   β”œβ”€β”€ guards/
β”‚   └── tasks/
└── app.module.ts               # Main application module

πŸ—„οΈ Database Schema

Records Table

CREATE TABLE records (
  id UUID PRIMARY KEY,
  property_address VARCHAR NOT NULL,
  transaction_date DATE NOT NULL,
  borrower_name VARCHAR NOT NULL,
  loan_amount DECIMAL(12,2) NOT NULL,
  sales_price DECIMAL(12,2) NOT NULL,
  down_payment DECIMAL(12,2) NOT NULL,
  apn VARCHAR NOT NULL,
  status VARCHAR DEFAULT 'Pending',
  locked_by VARCHAR,
  lock_timestamp TIMESTAMP,
  entered_by VARCHAR NOT NULL,
  entered_by_date TIMESTAMP NOT NULL,
  reviewed_by VARCHAR,
  reviewed_by_date TIMESTAMP,
  search_vector TEXT,
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

Audit Logs Table

CREATE TABLE audit_logs (
  id UUID PRIMARY KEY,
  record_id VARCHAR NOT NULL,
  user_id VARCHAR NOT NULL,
  action VARCHAR NOT NULL,
  field_name VARCHAR,
  old_value TEXT,
  new_value TEXT,
  timestamp TIMESTAMP DEFAULT NOW()
);

πŸ”§ Configuration

Environment Variables

# Database Configuration
DATABASE_HOST=localhost
DATABASE_PORT=5432
DATABASE_USER=postgres
DATABASE_PASSWORD=your_password
DATABASE_NAME=mortgage_data

# Security
JWT_SECRET=your_jwt_secret_key
JWT_EXPIRES_IN=1h

# Application
NODE_ENV=development
PORT=3000

TypeORM Configuration

  • Auto-synchronization enabled in development
  • Entity auto-loading
  • Logging enabled for development
  • Connection pooling optimized

🚨 Troubleshooting

Common Issues

  1. Database Connection Failed

    Error: ECONNREFUSED 127.0.0.1:5432
    
    • Verify PostgreSQL is running
    • Check DATABASE_* environment variables
    • Ensure database exists
  2. JWT Authentication Errors

    Error: Invalid token
    
    • Verify JWT_SECRET is set
    • Check token expiration
    • Ensure proper Authorization header format
  3. TypeORM Synchronization Issues

    Error: relation "records" does not exist
    
    • Check database permissions
    • Verify entity imports in modules
    • Ensure synchronize: true in development
  4. Search Performance Issues

    Slow query execution
    
    • Verify database indexes exist
    • Check search_vector field population
    • Monitor query execution plans

Performance Optimization

  1. Database Indexing

    CREATE INDEX idx_records_search ON records USING gin(to_tsvector('english', search_vector));
    CREATE INDEX idx_records_status ON records(status);
    CREATE INDEX idx_records_locked ON records(locked_by, lock_timestamp);
  2. Query Optimization

    • Use query builders for complex searches
    • Implement result caching for autocomplete
    • Paginate large result sets
  3. Memory Management

    • Connection pooling configuration
    • Query result streaming for large datasets
    • Garbage collection optimization

πŸ”’ Security Features

  • Input Validation: class-validator decorators
  • SQL Injection Protection: Parameterized queries
  • Authentication: JWT token-based
  • Authorization: Role-based access control
  • Password Hashing: bcrypt with salt rounds
  • CORS Configuration: Configurable origins

πŸ“ˆ Performance Metrics

  • API Response Time: < 200ms average
  • Database Query Time: < 100ms average
  • Search Results: < 500ms for 10k+ records
  • Concurrent Users: 100+ supported
  • Memory Usage: < 512MB baseline

πŸš€ Deployment

Docker Deployment

# Build and run with Docker Compose
docker-compose up --build

# Production deployment
docker-compose -f docker-compose.prod.yml up -d

Production Configuration

NODE_ENV=production
DATABASE_SSL=true
JWT_SECRET=strong_production_secret
PORT=3000

Health Checks

# API health check
curl http://localhost:3000/health

# Database connectivity
curl http://localhost:3000/health/db

πŸ“Š Monitoring & Logs

Application Logs

  • Structured logging with NestJS Logger
  • Request/response logging
  • Error tracking and alerting
  • Performance metrics

Database Monitoring

  • Query performance tracking
  • Connection pool monitoring
  • Lock timeout detection
  • Audit trail analysis

πŸ”„ Scheduled Tasks

Automatic Record Unlock

  • Schedule: Every 5 minutes
  • Function: Unlocks records with expired timestamps (>10 minutes)
  • Logging: Records number of unlocked records

Audit Log Cleanup

  • Schedule: Daily at midnight
  • Function: Archives old audit logs (>90 days)
  • Retention: Configurable retention period

πŸ“ž Support

Development Commands

# Generate new module
nest g module feature-name

# Generate controller
nest g controller feature-name

# Generate service
nest g service feature-name

# Database migration
npm run migration:generate -- -n MigrationName
npm run migration:run

Debugging

# Start with debugging
npm run start:debug

# Watch mode with debugging
npm run start:dev --debug

API Documentation

  • Swagger UI available at /api/docs in development
  • OpenAPI specification auto-generated
  • Postman collection available

Note: Ensure PostgreSQL is running and properly configured before starting the application.