Update tasks and plan
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@@ -450,23 +450,33 @@ Implement comprehensive amenity scoring using multiple data sources:
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- Always return structured data that LLMs can easily process
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- Use `summarized_response: bool = False` for optional summarization
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### To-dos
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## Implementation Tracking
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- [ ] Add retry logic, rate limiting, and standardize error handling in govmap.py and fastmcp_server.py
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- [ ] Create config.py with externalized configuration and environment variable support
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- [ ] Update USECASES.md and README.md to reflect actual current state and future roadmap
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- [ ] Create tools for providing comparable deals and statistical data for LLM valuation
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- [ ] Create market activity scoring and investment analysis functions
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- [ ] Add comprehensive deal filtering by property type, rooms, price, area, floor
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- [ ] Create Pydantic models for Deal, Address, MarketAnalysis, PropertyValuation
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- [ ] Separate concerns: create api_client.py, analyzers package, thin fastmcp_server.py
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- [ ] Update all tools with summarized_response boolean parameter and consistent responses
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- [ ] Add integration tests, edge cases, parametrized tests for all functionality
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- [ ] Create test_validation.py with input validation and data model tests
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- [ ] Create ARCHITECTURE.md, DEPLOYMENT.md, CONTRIBUTING.md, API_REFERENCE.md, CLAUDE.md
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- [ ] Add module docstrings, comprehensive function docs, type hints, inline comments
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- [ ] Create examples/ directory with scripts showing all major use cases
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- [ ] Add status indicators, priority levels, timeline to USECASES.md
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- [ ] Delete/integrate mcp_server_concept.py, remove unused imports, consolidate duplicates
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- [ ] Setup pre-commit hooks, format all code, fix linter warnings, add mypy
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- [ ] Update requirements.txt with new dependencies, create requirements-dev.txt, pin versions
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**For detailed task tracking and current progress, see [TASKS.md](../../TASKS.md)**
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### Completed (Phase 1)
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- ✅ Configuration management system with environment variable support
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- ✅ Retry logic with exponential backoff (manual implementation)
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- ✅ Rate limiting protection
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- ✅ Standardized error handling (raise exceptions)
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- ✅ Comprehensive input validation
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- ✅ Updated dependencies with version pinning
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- ✅ Created requirements-dev.txt
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- ✅ Updated USECASES.md with status indicators
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- ✅ Created ARCHITECTURE.md
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- ✅ Deleted redundant code files
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### Completed (Phase 2.1)
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- ✅ Implemented `filter_deals_by_criteria()` with comprehensive filtering
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- ✅ Implemented `calculate_deal_statistics()` with statistical aggregations
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- ✅ Added `get_valuation_comparables` MCP tool
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- ✅ Added `get_deal_statistics` MCP tool
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### In Progress
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- 🚧 Phase 2.2: Market Activity & Investment Analysis
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- 🚧 Phase 2.3: Enhanced Deal Filtering (partially complete)
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### Next Up
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- Phase 3: Architecture Improvements (data models, separation of concerns)
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- Phase 4: Testing Expansion
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- Phase 5: Complete Documentation
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@@ -21,17 +21,18 @@ This document tracks the implementation progress of the Nadlan-MCP improvement p
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### Cleanup
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- ✅ Deleted redundant mcp_server_concept.py file
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### Phase 2.1: Property Valuation Data Provision
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- ✅ Created `filter_deals_by_criteria()` function with comprehensive filtering
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- ✅ Created `calculate_deal_statistics()` helper for statistical aggregations
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- ✅ Created `_extract_floor_number()` helper for Hebrew floor parsing
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- ✅ Created `_calculate_std_dev()` for standard deviation
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- ✅ Added MCP tool: `get_valuation_comparables`
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- ✅ Added MCP tool: `get_deal_statistics`
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## 🚧 In Progress
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### Phase 2: Missing Core Functionality
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#### 2.1 Property Valuation Data Provision
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- [ ] Create `get_comparable_properties()` function with flexible filtering
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- [ ] Create `get_deal_statistics()` helper for statistical aggregations
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- [ ] Add MCP tool: `get_valuation_comparables`
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- [ ] Add MCP tool: `get_deal_statistics`
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- [ ] Update documentation with valuation tool usage
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#### 2.2 Market Activity & Investment Analysis
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- [ ] Create `market_analysis.py` module
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- [ ] Implement `calculate_market_activity_score()`
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@@ -41,13 +42,13 @@ This document tracks the implementation progress of the Nadlan-MCP improvement p
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- [ ] Update documentation
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#### 2.3 Enhanced Deal Filtering & Search
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- [ ] Implement `filter_deals_by_criteria()` in govmap.py
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- [ ] Add property type filtering
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- [ ] Add room count filtering
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- [ ] Add price range filtering
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- [ ] Add area range filtering
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- [ ] Add floor range filtering
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- [ ] Update existing functions to support new filters
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- ✅ Implement `filter_deals_by_criteria()` in govmap.py
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- ✅ Add property type filtering
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- ✅ Add room count filtering
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- ✅ Add price range filtering
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- ✅ Add area range filtering
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- ✅ Add floor range filtering (with Hebrew floor name parsing)
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- [ ] Update existing functions to support new filters (integration)
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- [ ] Add tests for filtering logic
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## 📋 To-Do (Next Priority)
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@@ -211,27 +212,36 @@ This document tracks the implementation progress of the Nadlan-MCP improvement p
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## 📊 Progress Summary
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**Overall Progress:** ~15% complete
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**Overall Progress:** ~40% complete
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### By Phase:
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- Phase 1 (Code Quality): ✅ 100% complete
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- Phase 2 (Core Features): 🚧 0% complete
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- Phase 2.1 (Valuation Data): ✅ 100% complete
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- Phase 2.2 (Market Analysis): 📋 0% started
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- Phase 2.3 (Enhanced Filtering): ✅ 85% complete (integration & tests pending)
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- Phase 3 (Architecture): 📋 0% started
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- Phase 4 (Testing): 📋 0% started
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- Phase 5 (Documentation): 🚧 20% complete (USECASES, ARCHITECTURE done)
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- Phase 5 (Documentation): 🚧 30% complete (USECASES, ARCHITECTURE, TASKS done)
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- Phase 6 (Polish): 🚧 33% complete (cleanup done, linting pending)
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- Phase 7 (Future): 📋 Backlog
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### High Priority (MVP) Status:
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- ✅ Phase 1: Code Quality & Reliability - COMPLETE
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- 🚧 Phase 2: Missing Core Functionality - IN PROGRESS (next focus)
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- 📋 Phase 6.1: Cleanup - COMPLETE
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- ✅ Phase 2.1: Property Valuation Data Provision - COMPLETE
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- 🚧 Phase 2.2: Market Analysis - NEXT PRIORITY
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- 🚧 Phase 2.3: Enhanced Filtering - MOSTLY COMPLETE (tests pending)
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## 🎯 Current Sprint Focus
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1. **Implement valuation data provision tools** (Phase 2.1)
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2. **Implement market analysis tools** (Phase 2.2)
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3. **Implement enhanced filtering** (Phase 2.3)
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1. ✅ **Implement valuation data provision tools** (Phase 2.1) - COMPLETE
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2. **Implement market analysis tools** (Phase 2.2) - NEXT
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3. ✅ **Implement enhanced filtering** (Phase 2.3) - MOSTLY COMPLETE
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## 🎯 Next Sprint
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1. **Implement market activity metrics** (Phase 2.2)
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2. **Add tests for new filtering and valuation features** (Phase 4.1)
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3. **Create additional documentation files** (Phase 5.1)
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## Notes
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