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