8.0 KiB
8.0 KiB
✅ Implementation Complete - Dubai DLD Analytics API
Summary
A fully functional Node.js API for Dubai Land Department analytics with context-aware query processing and all 10 specific questions implemented.
🎯 Key Features Implemented
1. Context-Aware Query Processing ✅
- Multi-turn conversations: Users can refine queries progressively
- Session management: 30-minute context retention
- Natural language refinements: "Summarise by week", "Apartments only", etc.
- Context merging: Follow-up queries inherit previous context
2. All 10 Questions Implemented ✅
-
✅ Q1-3: Rental price trend with context awareness
- Initial query with monthly grouping
- Follow-up: "Summarise by week" → Weekly grouping
- Follow-up: "Apartments only" → Filtered to apartments
-
✅ Q4: Brief about the Project (transaction summary)
-
✅ Q5: List of fast moving projects in last 6 months
-
✅ Q6: Which area is seeing uptick in off-plan projects
-
✅ Q7: Which area is having more rental transactions
-
✅ Q8: Top 5 areas for Commercial leasing and why
-
✅ Q9: Top 5 areas for Residential leasing and why
-
✅ Q10: Avg price of 3BHK apartment by area (monthly, top 5)
📁 Project Structure
dubai-dld-analytics/
├── src/
│ ├── app.js # Main Express app
│ ├── models/
│ │ └── database.js # MySQL connection
│ ├── services/
│ │ ├── nlpService.js # NLP parsing
│ │ ├── sqlGenerator.js # Dynamic SQL (legacy)
│ │ ├── contextAwareSQLGenerator.js # Context-aware SQL ✨
│ │ ├── contextManager.js # Session & context mgmt ✨
│ │ ├── queryTemplates.js # Hardcoded SQL templates ✨
│ │ └── chartFormatter.js # Chart.js formatting
│ ├── routes/
│ │ ├── api.js # API endpoints (with context-aware)
│ │ └── static.js # Static file serving
│ ├── middleware/
│ knife│ └── validation.js # Request validation
│ └── utils/
│ ├── dateUtils.js # Date utilities
│ └── textProcessor.js # Text processing
├── public/
│ └── index.html # Interactive dashboard
├── tests/
│ └── api.test.js # API tests
├── package.json # Dependencies
├── 2.sql # Database schema
├── README.md # Documentation
├── QUICK_START.md # Quick start guide
├── CONTEXT_AWARE_QUERIES.md # Context-aware guide ✨
├── IMPLEMENTATION_SUMMARY.md # Implementation details
└── setup.sh # Setup script
🚀 Quick Start
1. Install Dependencies
npm install
2. Configure Database
Edit .env:
DB_HOST=localhost
DB_NAME=dubai_dld
DB_USER=root
DB_PASSWORD=your_password
3. Import Database Schema
mysql -u root -p < 2.sql
4. Start Server
npm run dev
📡 API Endpoints
Context-Aware Queries
# Q1: Initial query
POST /api/query
{
"query": "Give me the last 6 months rental price trend for Business Bay",
"sessionId": "user123"
}
# Q2: Refine to weekly
POST /api/query
{
"query": "Summarise by week",
"sessionId": "user123"
}
# Q3: Filter apartments
POST /api/query
{
"query": "Apartments only",
"sessionId": "user123"
}
Specific Query Endpoints
GET /api/queries/project-summary-detail # Q4
GET /api/queries/fast-moving-projects # Q5
GET /api/queries/offplan-uptick # Q6
GET /api/queries/top-areas # Q7
GET /api/queries/commercial-leasing # Q8
GET /api/queries/residential-leasing # Q9
GET /api/queries/bhk-apartment-price # Q10
🎨 Chart.js Integration
All endpoints return Chart.js compatible data:
- Line Charts: Time series trends
- Bar Charts: Area comparisons
- Pie Charts: Distributions
- Cards: Summary statistics
📊 Example Response
{
"success": true,
"data": {
"text": "Rental price trend for Business Bay over the last 6 months, grouped by week, filtered to apartments",
"visualizations": [
{
"type": "line",
"title": "Weekly Rental Price Trend",
"data": {
"labels": ["2024-W1", "2024-W2", ...],
"datasets": [{
"label": "Average Rental Price (AED)",
"data": [85000, 87000, ...],
"borderColor": "rgb(75, 192, 192)"
}]
}
}
],
"cards": [
{
"title": "Average Price",
"value": "92,500 AED",
"subtitle": "Last 6 months",
"trend": "+15.3%"
}
],
"metadata": {
"query": "Apartments only",
"intent": "trend",
"context": {
"area": "business bay",
"time_period": "6 months",
"grouping": "weekly.bathef",
"property_filter": "flat"
}
}
}
}
🔧 Technical Highlights
Context Management
- Session-based context storage
- 30-minute TTL for automatic expiration
- Context merging for refinements
- Follow-up query detection
SQL Templates
- 10+ hardcoded templates for specific queries
- Context-aware query generation
- Parameterized queries (SQL injection prevention)
- Optimized for performance
NLP Processing
- Natural.js for entity extraction
- Dubai-specific area recognition
- Property type classification
- Room type extraction (BHK)
- Intent classification
📚 Documentation
- README.md: Complete documentation
- QUICK_START.md: Quick setup guide
- CONTEXT_AWARE_QUERIES.md: Context-aware usage guide
- IMPLEMENTATION_SUMMARY.md: Technical details
✨ What Makes This Special
- Context-Aware: First query system to support progressive refinements
- Hardcoded SQL: Optimized for all 10 specific questions
- Chart.js Ready: Direct frontend integration
- Production Ready: Error handling, validation, rate limiting
- Well Documented: Comprehensive guides and examples
🎯 Usage Examples
Context Flow Example
// Q1: Initial query
POST /api/query
{
"query": "Give me the last 6 months rental price trend for Business Bay",
"sessionId": "session1"
}
// Q2: Refine to weekly (keeps Business Bay, 6 months)
POST /api/query
{
"query": "Summarise by week",
"sessionId": "session1"
}
// Q3: Filter apartments (keeps everything above + adds filter)
POST /api/query
{
"query": "Apartments only",
"sessionId": "session1"
}
Predefined Query Example
// Fast moving projects
GET /api/queries/fast-moving-projects
🔐 Security
- Input validation (Joi)
- SQL injection prevention (parameterized queries)
- Rate limiting
- Helmet security headers
- CORS configuration
🚨 Error Handling
- Comprehensive error messages
- Database error handling
- Query validation
- Context error handling
- API error responses
📦 Dependencies
- express: Web framework
- mysql2: Database driver
- natural: NLP library
- moment: Date handling
- joi: Validation
- helmet: Security
- chart.js: Visualization (frontend)
✅ Testing
# Run tests
npm test
# Manual testing
curl http://localhost:3000/health
🎉 Status
✅ Fully Functional and Production Ready
All 10 questions implemented with:
- Context-aware query processing
- Hardcoded SQL templates
- Chart.js integration
- Complete documentation
- Error handling
- Security features
Version: 1.0.0
Last Updated: 2024
Status: ✅ Complete