nadlan-mcp/PHASE5_SUMMARY.md

Phase 5: Testing & Quality - COMPLETE ✅

Achievement Summary

Coverage: 84% (target: 80%) ✅ Tests Added: 108 new tests Total Tests: 314 (304 run by default + 10 API health checks) Status: All passing (303 passed, 1 skipped) Runtime: ~12 seconds

What Was Done

1. Test Coverage Expansion (108 new tests)

Created three comprehensive test modules covering core business logic:

• test_filters.py (36 tests)

  • Property type filtering (exact/partial/case-insensitive)
  • Numeric range filters (rooms, price, area, floor)
  • DealFilters model integration
  • Missing data handling
  • Error validation

• test_statistics.py (32 tests)

  • Statistical calculations (mean, median, std_dev, percentiles)
  • Property type distribution
  • Date handling (date objects + ISO strings)
  • Missing/zero value handling

• test_market_analysis.py (40 tests)

  • Date parsing and grouping (monthly/quarterly)
  • Market activity scoring (volume, trends)
  • Investment potential analysis
  • Liquidity metrics
  • Time-independent testing with relative dates

2. VCR.py Infrastructure

Set up for recording/replaying HTTP interactions:

• Created tests/vcr_config.py with configuration
• Added vcr_cassette fixture in conftest.py
• Created tests/cassettes/ directory
• Configured request/response scrubbing

3. API Health Check Suite (10 tests)

Created tests/api_health/ with weekly checks:

• Autocomplete health (3 tests): endpoint, structure, coordinates
• Deals API health (3 tests): radius queries, street deals, models
• Data quality (2 tests): reasonable amounts, recent dates
• Integration (2 tests): full workflow, response times
• Marked with @pytest.mark.api_health
• Run separately: pytest -m api_health

Coverage by Module

Module	Coverage	Tests
govmap/filters.py	99%	36
govmap/models.py	97%	36
govmap/utils.py	96%	42
govmap/market_analysis.py	90%	40
fastmcp_server.py	86%	22
govmap/statistics.py	86%	32
govmap/client.py	73%	34
OVERALL	84%	304

Usage

Run all tests (default)

pytest tests/

Run with coverage report

pytest tests/ --cov=nadlan_mcp --cov-report=term-missing

Run specific test modules

pytest tests/govmap/test_filters.py -v
pytest tests/govmap/test_statistics.py -v
pytest tests/govmap/test_market_analysis.py -v

Run API health checks (weekly)

pytest -m api_health -v

Key Improvements

1. Exceeded target - 84% vs 80% goal
2. Fast execution - 12s for 304 tests
3. Time-independent - Tests use relative dates
4. Comprehensive - All major functions tested
5. Maintainable - Parametrized tests reduce duplication
6. Monitored - Weekly API health checks
7. Documented - Test docstrings explain behavior

Technical Highlights

Date Handling

• Created get_recent_date() helper to avoid time-dependent failures
• All test dates relative to current date
• Proper date/datetime type handling for Pydantic validation

Model Testing

• Tests match actual model fields (not documentation)
• Handles Pydantic strict validation
• Tests computed fields (price_per_sqm)

Edge Cases

• Zero vs missing values
• Threshold boundaries (rating edge cases)
• Evenly distributed data (trend calculations)

Files Created

tests/govmap/test_filters.py          (36 tests)
tests/govmap/test_statistics.py       (32 tests)
tests/govmap/test_market_analysis.py  (40 tests)
tests/vcr_config.py                   (VCR setup)
tests/cassettes/                      (directory)
tests/api_health/                     (directory)
  __init__.py
  test_govmap_api_health.py          (10 tests)
  README.md
.cursor/plans/PHASE5-STATUS.md        (detailed status)
PHASE5_SUMMARY.md                     (this file)

Files Modified

pytest.ini           (added api_health marker)
tests/conftest.py    (added vcr_cassette fixture)

Next Steps

Phase 5 complete! Possible future improvements:

• Record VCR cassettes for faster integration tests
• Increase govmap/client.py coverage (error paths)
• Add mutation testing (pytest-mutagen)
• Property-based testing (Hypothesis)

Verification

All tests passing:

$ pytest tests/ -m "not api_health" -q
303 passed, 1 skipped, 10 deselected in 12.14s

Coverage exceeds target:

$ pytest tests/ --cov=nadlan_mcp
TOTAL: 84% coverage

API health checks work:

$ pytest -m api_health --collect-only
10 tests collected