Update tasks and plan

This commit is contained in:
Nitzan Pomerantz
2025-10-19 01:02:36 +03:00
parent 85f52a8108
commit 7780d89bb4
2 changed files with 61 additions and 41 deletions
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@@ -450,23 +450,33 @@ Implement comprehensive amenity scoring using multiple data sources:
- Always return structured data that LLMs can easily process
- Use `summarized_response: bool = False` for optional summarization
### To-dos
## Implementation Tracking
- [ ] Add retry logic, rate limiting, and standardize error handling in govmap.py and fastmcp_server.py
- [ ] Create config.py with externalized configuration and environment variable support
- [ ] Update USECASES.md and README.md to reflect actual current state and future roadmap
- [ ] Create tools for providing comparable deals and statistical data for LLM valuation
- [ ] Create market activity scoring and investment analysis functions
- [ ] Add comprehensive deal filtering by property type, rooms, price, area, floor
- [ ] Create Pydantic models for Deal, Address, MarketAnalysis, PropertyValuation
- [ ] Separate concerns: create api_client.py, analyzers package, thin fastmcp_server.py
- [ ] Update all tools with summarized_response boolean parameter and consistent responses
- [ ] Add integration tests, edge cases, parametrized tests for all functionality
- [ ] Create test_validation.py with input validation and data model tests
- [ ] Create ARCHITECTURE.md, DEPLOYMENT.md, CONTRIBUTING.md, API_REFERENCE.md, CLAUDE.md
- [ ] Add module docstrings, comprehensive function docs, type hints, inline comments
- [ ] Create examples/ directory with scripts showing all major use cases
- [ ] Add status indicators, priority levels, timeline to USECASES.md
- [ ] Delete/integrate mcp_server_concept.py, remove unused imports, consolidate duplicates
- [ ] Setup pre-commit hooks, format all code, fix linter warnings, add mypy
- [ ] Update requirements.txt with new dependencies, create requirements-dev.txt, pin versions
**For detailed task tracking and current progress, see [TASKS.md](../../TASKS.md)**
### Completed (Phase 1)
- ✅ Configuration management system with environment variable support
- ✅ Retry logic with exponential backoff (manual implementation)
- ✅ Rate limiting protection
- ✅ Standardized error handling (raise exceptions)
- ✅ Comprehensive input validation
- ✅ Updated dependencies with version pinning
- ✅ Created requirements-dev.txt
- ✅ Updated USECASES.md with status indicators
- Created ARCHITECTURE.md
- ✅ Deleted redundant code files
### Completed (Phase 2.1)
- ✅ Implemented `filter_deals_by_criteria()` with comprehensive filtering
- ✅ Implemented `calculate_deal_statistics()` with statistical aggregations
- ✅ Added `get_valuation_comparables` MCP tool
- ✅ Added `get_deal_statistics` MCP tool
### In Progress
- 🚧 Phase 2.2: Market Activity & Investment Analysis
- 🚧 Phase 2.3: Enhanced Deal Filtering (partially complete)
### Next Up
- Phase 3: Architecture Improvements (data models, separation of concerns)
- Phase 4: Testing Expansion
- Phase 5: Complete Documentation
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@@ -21,17 +21,18 @@ This document tracks the implementation progress of the Nadlan-MCP improvement p
### Cleanup
- ✅ Deleted redundant mcp_server_concept.py file
### Phase 2.1: Property Valuation Data Provision
- ✅ Created `filter_deals_by_criteria()` function with comprehensive filtering
- ✅ Created `calculate_deal_statistics()` helper for statistical aggregations
- ✅ Created `_extract_floor_number()` helper for Hebrew floor parsing
- ✅ Created `_calculate_std_dev()` for standard deviation
- ✅ Added MCP tool: `get_valuation_comparables`
- ✅ Added MCP tool: `get_deal_statistics`
## 🚧 In Progress
### Phase 2: Missing Core Functionality
#### 2.1 Property Valuation Data Provision
- [ ] Create `get_comparable_properties()` function with flexible filtering
- [ ] Create `get_deal_statistics()` helper for statistical aggregations
- [ ] Add MCP tool: `get_valuation_comparables`
- [ ] Add MCP tool: `get_deal_statistics`
- [ ] Update documentation with valuation tool usage
#### 2.2 Market Activity & Investment Analysis
- [ ] Create `market_analysis.py` module
- [ ] Implement `calculate_market_activity_score()`
@@ -41,13 +42,13 @@ This document tracks the implementation progress of the Nadlan-MCP improvement p
- [ ] Update documentation
#### 2.3 Enhanced Deal Filtering & Search
- [ ] Implement `filter_deals_by_criteria()` in govmap.py
- [ ] Add property type filtering
- [ ] Add room count filtering
- [ ] Add price range filtering
- [ ] Add area range filtering
- [ ] Add floor range filtering
- [ ] Update existing functions to support new filters
- Implement `filter_deals_by_criteria()` in govmap.py
- Add property type filtering
- Add room count filtering
- Add price range filtering
- Add area range filtering
- Add floor range filtering (with Hebrew floor name parsing)
- [ ] Update existing functions to support new filters (integration)
- [ ] Add tests for filtering logic
## 📋 To-Do (Next Priority)
@@ -211,27 +212,36 @@ This document tracks the implementation progress of the Nadlan-MCP improvement p
## 📊 Progress Summary
**Overall Progress:** ~15% complete
**Overall Progress:** ~40% complete
### By Phase:
- Phase 1 (Code Quality): ✅ 100% complete
- Phase 2 (Core Features): 🚧 0% complete
- Phase 2.1 (Valuation Data): ✅ 100% complete
- Phase 2.2 (Market Analysis): 📋 0% started
- Phase 2.3 (Enhanced Filtering): ✅ 85% complete (integration & tests pending)
- Phase 3 (Architecture): 📋 0% started
- Phase 4 (Testing): 📋 0% started
- Phase 5 (Documentation): 🚧 20% complete (USECASES, ARCHITECTURE done)
- Phase 5 (Documentation): 🚧 30% complete (USECASES, ARCHITECTURE, TASKS done)
- Phase 6 (Polish): 🚧 33% complete (cleanup done, linting pending)
- Phase 7 (Future): 📋 Backlog
### High Priority (MVP) Status:
- ✅ Phase 1: Code Quality & Reliability - COMPLETE
- 🚧 Phase 2: Missing Core Functionality - IN PROGRESS (next focus)
- 📋 Phase 6.1: Cleanup - COMPLETE
- Phase 2.1: Property Valuation Data Provision - COMPLETE
- 🚧 Phase 2.2: Market Analysis - NEXT PRIORITY
- 🚧 Phase 2.3: Enhanced Filtering - MOSTLY COMPLETE (tests pending)
## 🎯 Current Sprint Focus
1. **Implement valuation data provision tools** (Phase 2.1)
2. **Implement market analysis tools** (Phase 2.2)
3. **Implement enhanced filtering** (Phase 2.3)
1. **Implement valuation data provision tools** (Phase 2.1) - COMPLETE
2. **Implement market analysis tools** (Phase 2.2) - NEXT
3. **Implement enhanced filtering** (Phase 2.3) - MOSTLY COMPLETE
## 🎯 Next Sprint
1. **Implement market activity metrics** (Phase 2.2)
2. **Add tests for new filtering and valuation features** (Phase 4.1)
3. **Create additional documentation files** (Phase 5.1)
## Notes