Ruff fixes
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@@ -17,18 +17,18 @@ The nadlan-mcp MCP server provides comprehensive Israeli real estate data analys
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- **Recent Deals by Address**: Find recent real estate transactions for any specific address
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- **Street-level Analysis**: Get all recent deals for an entire street/area
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- **Neighborhood Analysis**: Analyze deals across entire neighborhoods
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- **Deal Filtering**: Filter deals by property type, room count, price range, area, and floor (🚧 enhanced filtering in progress)
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- **Deal Filtering**: Filter deals by property type, room count, price range, area, and floor ✅
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## 📈 **Market Intelligence** ✅
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- **Market Trends Analysis**: Analyze price patterns and market trends over time for any area
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- **Price per Square Meter Trends**: Track how property values change over time
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- **Market Activity Levels**: See how active the real estate market is in different areas (🚧 enhanced metrics in progress)
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- **Market Activity Levels**: See how active the real estate market is in different areas ✅
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## 🔍 **Comparative Analysis** ✅
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- **Multi-Address Comparison**: Compare real estate markets between multiple addresses side-by-side
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- **Investment Analysis**: Compare different areas for investment potential (🚧 advanced metrics in progress)
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- **Investment Analysis**: Compare different areas for investment potential ✅
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## 🏆 **Amenity Scoring & Quality of Life Analysis** 📋
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@@ -60,7 +60,7 @@ This comprehensive feature will provide amenity-based location scoring using mul
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### Investment Research ✅
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- Identify trending neighborhoods and price patterns
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- Analyze market activity levels across different areas (🚧 enhanced metrics in progress)
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- Analyze market activity levels across different areas ✅
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- Track price per square meter trends over time
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### Market Analysis ✅
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@@ -106,9 +106,6 @@ You can ask questions like:
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- `get_neighborhood_deals` - Get deals for a neighborhood polygon
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- `analyze_market_trends` - Analyze market trends and price patterns
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- `compare_addresses` - Compare real estate markets between multiple addresses
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### 🚧 In Progress
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- `get_valuation_comparables` - Get comparable properties for valuation analysis
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- `get_deal_statistics` - Calculate statistical aggregations on deal data
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- `get_market_activity_metrics` - Detailed market activity and velocity metrics
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@@ -124,7 +121,7 @@ You can ask questions like:
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The data covers recent Israeli real estate transactions and can help with:
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- Property research and valuation ✅
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- Investment analysis and decision-making ✅ (🚧 advanced metrics in progress)
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- Investment analysis and decision-making ✅
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- Market understanding and trends ✅
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- Comparative analysis across locations ✅
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- Due diligence for real estate decisions ✅
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@@ -136,34 +133,30 @@ Simply connect to the nadlan-mcp server through your MCP client (like Cursor) an
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## 🔄 **Roadmap & Timeline**
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### Phase 1: Core Reliability & Quality (Current)
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### Phase 1-5: Core Features & Quality ✅ COMPLETE
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- ✅ Configuration management system
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- ✅ Retry logic with exponential backoff
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- ✅ Rate limiting protection
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- ✅ Input validation and error handling
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- 🚧 Enhanced deal filtering
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- 🚧 Valuation data provision tools
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- 🚧 Market activity metrics
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- ✅ Enhanced deal filtering
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- ✅ Valuation data provision tools
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- ✅ Market activity metrics
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- ✅ Pydantic data models
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- ✅ Comprehensive testing (304 tests, 84% coverage)
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### Phase 2: Architecture Improvements (Next)
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- Data models with Pydantic
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- Separation of concerns (API client, analyzers, tools)
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- LLM-friendly tool design with summarized_response parameter
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- Comprehensive testing suite
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### Phase 6-7: Documentation & Code Quality (In Progress)
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- Documentation improvements
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- Code formatting and linting with Ruff
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- Pre-commit hooks
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- Type checking with mypy
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### Phase 3: Documentation & Developer Experience
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- Architecture documentation
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- API reference guide
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- Usage examples
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- Contributing guidelines
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### Phase 4: Future Features
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- Amenity scoring with quality metrics
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- In-memory caching
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- Async/parallel processing
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### Phase 8: Future Features (Planned)
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- Amenity scoring with quality metrics (Google Places, school rankings, healthcare ratings)
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- In-memory caching with TTL
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- Async/parallel processing with httpx
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- Production-ready caching (Redis)
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- Multi-language support
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- Database integration
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- Database integration (SQLite/PostgreSQL)
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## 📞 **Support & Contributions**
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