Fix autocomplete_address bug and add test coverage report

Bug Fix:
- Fixed autocomplete_address tool to use correct API response fields
- Changed from non-existent fields (addressLabel, settlementNameHeb, coordinates)
  to actual API fields (text, id, type, score, shape)
- Added coordinate parsing from WKT POINT format
- Impact: HIGH - tool was returning empty data for all fields

Test Coverage Report:
- Added comprehensive test coverage analysis
- Documented 34 passing tests
- Identified e2e test results for MCP tools
- Listed missing test cases and recommendations
- Overall assessment: Good coverage, one bug found and fixed

E2E Test Results:
- ✅ find_recent_deals_for_address - WORKING
- ✅ analyze_market_trends - WORKING
- ✅ get_valuation_comparables - WORKING
- ✅ autocomplete_address - FIXED (needs MCP server restart to take effect)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

TEST_COVERAGE_REPORT.md

@@ -0,0 +1,250 @@
+# Test Coverage Report - Phase 3 Refactoring
+
+**Generated:** 2025-10-25
+**Branch:** phase-3
+**Total Tests:** 34 (all passing in 0.14s)
+
+## Executive Summary
+
+✅ **Overall Status:** GOOD - Most functionality is well-tested
+⚠️ **Concerns:** 1 bug found in `autocomplete_address` MCP tool, some modules lack direct unit tests
+📊 **Coverage:** Indirect coverage is good through integration tests, but direct unit tests for new modules would improve testability
+
+## Test Coverage by Module
+
+### ✅ Well Tested (Indirect Coverage via Integration Tests)
+
+| Module | Functions | Test Coverage | Notes |
+|--------|-----------|---------------|-------|
+| `client.py` | 9 API methods | ✅ High | Tested through GovmapClient integration tests |
+| `filters.py` | `filter_deals_by_criteria` | ✅ High | 8 dedicated tests covering all filter types |
+| `statistics.py` | `calculate_deal_statistics`, `calculate_std_dev` | ✅ Good | 1 dedicated test, used in other tests |
+| `market_analysis.py` | 4 functions | ✅ High | 6 dedicated tests for market analysis |
+| `utils.py` | `is_same_building` | ✅ Good | 1 dedicated test |
+
+### ⚠️ Missing Direct Unit Tests
+
+| Module | Functions | Test Coverage | Impact | Recommendation |
+|--------|-----------|---------------|--------|----------------|
+| `validators.py` | 4 validation functions | ⚠️ Indirect only | Low | Add unit tests for edge cases |
+| `utils.py` | `calculate_distance`, `extract_floor_number` | ⚠️ Indirect only | Low | Add unit tests for Hebrew floor parsing |
+| `market_analysis.py` | `parse_deal_dates` (helper) | ⚠️ Indirect only | Low | Already tested via parent functions |
+
+## E2E Test Results (MCP Tools)
+
+Tested the following MCP tools with real data:
+
+### ✅ Passing E2E Tests
+
+1. **`find_recent_deals_for_address`**
+   - Input: `"הרצל 1 תל אביב"`, 1 year, 100m radius, max 5 deals
+   - Result: ✅ SUCCESS - Returned 5 deals with complete statistics
+   - Data Quality: Excellent - all fields populated correctly
+
+2. **`analyze_market_trends`**
+   - Input: `"דיזנגוף 50 תל אביב"`, 2 years
+   - Result: ✅ SUCCESS - Returned 82 deals analyzed
+   - Output: Comprehensive yearly trends, property type breakdown, neighborhoods
+   - Data Quality: Excellent
+
+3. **`get_valuation_comparables`**
+   - Input: `"רוטשילד 1 תל אביב"`, property_type="דירה", rooms 2-4, max 5
+   - Result: ✅ SUCCESS - Returned 1 comparable with statistics
+   - Filtering: ✅ Working correctly (rooms, property type)
+   - Token Usage: ✅ Optimized (no bloat fields)
+
+### ❌ Bug Found: `autocomplete_address`
+
+**Status:** 🐛 BUG - Incorrect field mapping
+
+**Problem:**
+The `autocomplete_address` tool in `fastmcp_server.py` uses incorrect field names when parsing the API response.
+
+**Current Code (WRONG):**
+```python
+formatted_results.append({
+    "address": result.get("addressLabel", ""),           # ❌ Wrong field
+    "settlement": result.get("settlementNameHeb", ""),   # ❌ Wrong field
+    "coordinates": result.get("coordinates", {}),        # ❌ Wrong field
+    "polygon_id": result.get("polygon_id")               # ❌ Wrong field
+})
+```
+
+**Actual API Response Fields:**
+```python
+{
+    "id": "address|ADDR|123|test",
+    "text": "תל אביב",                # ✅ Use this for address
+    "type": "address",
+    "score": 100,
+    "shape": "POINT(3870000.123 3770000.456)",  # ✅ Parse this for coordinates
+    "data": {}
+}
+```
+
+**Impact:** HIGH - The tool returns empty data for all fields
+
+**Fix Required:**
+```python
+# Parse coordinates from WKT POINT format
+shape_str = result.get("shape", "")
+coordinates = {}
+if shape_str.startswith("POINT("):
+    coords_str = shape_str[6:-1]  # Remove "POINT(" and ")"
+    coords = coords_str.split()
+    if len(coords) == 2:
+        coordinates = {
+            "longitude": float(coords[0]),
+            "latitude": float(coords[1])
+        }
+
+formatted_results.append({
+    "text": result.get("text", ""),              # ✅ Display text
+    "id": result.get("id", ""),                 # ✅ Unique ID
+    "type": result.get("type", ""),             # ✅ Result type
+    "score": result.get("score", 0),            # ✅ Match score
+    "coordinates": coordinates                   # ✅ Parsed coordinates
+})
+```
+
+## Test Organization
+
+### Current Structure ✅
+```
+tests/
+└── test_govmap_client.py (34 tests)
+    ├── TestGovmapClient (12 tests)
+    └── TestMarketAnalysisFunctions (22 tests)
+```
+
+### Recommended Structure 📋
+```
+tests/
+├── test_govmap_client.py (existing integration tests)
+├── govmap/
+│   ├── test_validators.py (NEW - 10-15 tests)
+│   ├── test_utils.py (NEW - 8-10 tests)
+│   ├── test_filters.py (refactor existing)
+│   ├── test_statistics.py (refactor existing)
+│   └── test_market_analysis.py (refactor existing)
+└── test_fastmcp_tools.py (NEW - E2E tool tests)
+```
+
+## Missing Test Cases
+
+### High Priority
+
+1. **Validator Edge Cases**
+   ```python
+   # validators.py
+   - Test validate_address with empty string
+   - Test validate_address with very long address (>500 chars)
+   - Test validate_coordinates with out-of-bounds ITM coordinates
+   - Test validate_positive_int with negative numbers
+   - Test validate_deal_type with invalid types (3, 0, -1)
+   ```
+
+2. **Utils Hebrew Floor Parsing**
+   ```python
+   # utils.py
+   - Test extract_floor_number with all Hebrew floor names
+   - Test extract_floor_number with numeric strings
+   - Test extract_floor_number with invalid input
+   - Test calculate_distance with same point
+   - Test calculate_distance with far points
+   ```
+
+3. **MCP Tool E2E Tests**
+   ```python
+   # test_fastmcp_tools.py
+   - Test autocomplete_address with real API
+   - Test get_deals_by_radius with edge coordinates
+   - Test error handling for all tools
+   - Test token limits for large responses
+   ```
+
+### Medium Priority
+
+4. **Client Error Handling**
+   ```python
+   # client.py
+   - Test retry logic with transient failures
+   - Test rate limiting behavior
+   - Test timeout handling
+   - Test invalid API responses
+   ```
+
+5. **Filter Edge Cases**
+   ```python
+   # filters.py
+   - Test filtering with all null values
+   - Test filtering with overlapping criteria
+   - Test filtering with no matches
+   ```
+
+### Low Priority
+
+6. **Integration Tests**
+   ```python
+   # Integration with real API
+   - Test full workflow: autocomplete → find deals → analyze
+   - Test with various Israeli cities
+   - Test with English addresses
+   ```
+
+## Recommendations
+
+### Immediate Actions (Before Merge)
+
+1. **🔴 CRITICAL: Fix `autocomplete_address` bug**
+   - File: `nadlan_mcp/fastmcp_server.py` lines 65-71
+   - Estimated time: 10 minutes
+   - Add test to prevent regression
+
+### Short-term Actions (Next Sprint)
+
+2. **🟡 Add validator unit tests**
+   - Create `tests/govmap/test_validators.py`
+   - 10-15 tests covering edge cases
+   - Estimated time: 1-2 hours
+
+3. **🟡 Add utils unit tests**
+   - Create `tests/govmap/test_utils.py`
+   - Focus on Hebrew floor parsing and distance calculation
+   - Estimated time: 1 hour
+
+4. **🟡 Add MCP tool E2E tests**
+   - Create `tests/test_fastmcp_tools.py`
+   - Test all 10 MCP tools with real data
+   - Estimated time: 2-3 hours
+
+### Long-term Actions (Future)
+
+5. **🟢 Install and configure pytest-cov**
+   - Get actual coverage percentage
+   - Set coverage thresholds in CI
+
+6. **🟢 Reorganize tests into submodules**
+   - Split test_govmap_client.py into focused test files
+   - Better test organization and maintainability
+
+7. **🟢 Add integration test suite**
+   - Mark with @pytest.mark.integration
+   - Test full workflows with real API
+
+## Conclusion
+
+The refactored code has **good test coverage** overall:
+- ✅ 34 tests all passing
+- ✅ Core functionality well-tested through integration tests
+- ✅ E2E tests show tools working correctly
+- ⚠️ One bug found and documented (`autocomplete_address`)
+- 📋 Some unit tests missing for edge cases
+
+**Recommended Next Steps:**
+1. Fix the `autocomplete_address` bug (10 min)
+2. Add the fix to the PR before merging
+3. Create follow-up issues for missing unit tests
+4. Consider adding pytest-cov for coverage metrics
+
+**Overall Assessment:** The Phase 3 refactoring maintains code quality and test coverage. The modular structure will make it easier to add targeted unit tests in the future.

nadlan_mcp/fastmcp_server.py

@@ -63,13 +63,29 @@ def autocomplete_address(search_text: str) -> str:
         # Format results for better readability
         formatted_results = []
         for result in response['results']:
+            # Parse coordinates from WKT POINT format: "POINT(longitude latitude)"
+            shape_str = result.get("shape", "")
+            coordinates = {}
+            if shape_str and shape_str.startswith("POINT("):
+                try:
+                    coords_str = shape_str[6:-1]  # Remove "POINT(" and ")"
+                    coords = coords_str.split()
+                    if len(coords) == 2:
+                        coordinates = {
+                            "longitude": float(coords[0]),
+                            "latitude": float(coords[1])
+                        }
+                except (ValueError, IndexError) as e:
+                    logger.warning(f"Failed to parse coordinates from shape: {shape_str}, error: {e}")
+
             formatted_results.append({
-                "address": result.get("addressLabel", ""),
+                "text": result.get("text", ""),
-                "settlement": result.get("settlementNameHeb", ""),
+                "id": result.get("id", ""),
-                "coordinates": result.get("coordinates", {}),
+                "type": result.get("type", ""),
-                "polygon_id": result.get("polygon_id")
+                "score": result.get("score", 0),
+                "coordinates": coordinates
             })
-        
+
         return json.dumps(formatted_results, ensure_ascii=False, indent=2)
         
     except Exception as e: