7.6 KiB
POTE Testing Status Report
Date: December 15, 2025
Status: ✅ All Systems Operational - Ready for Deployment
🎯 Test Suite Summary
55 Tests - All Passing ✅
Platform: Python 3.13.5, pytest-9.0.2
Test Duration: ~1.8 seconds
Coverage: ~85% overall
Test Breakdown by Module:
| Module | Tests | Status | Coverage |
|---|---|---|---|
| Analytics | 18 tests | ✅ PASS | 80% |
| Models | 7 tests | ✅ PASS | 90% |
| Ingestion | 14 tests | ✅ PASS | 85% |
| Price Loader | 8 tests | ✅ PASS | 90% |
| Security Enricher | 8 tests | ✅ PASS | 85% |
📊 What's Been Tested?
✅ Core Database Operations
- Creating and querying Officials
- Creating and querying Securities
- Creating and querying Trades
- Price data storage and retrieval
- Unique constraints and relationships
- Database migrations (Alembic)
✅ Data Ingestion
- House Stock Watcher client (with fixtures)
- Trade loading from JSON
- Security enrichment from yfinance
- Price data fetching and storage
- Idempotent operations (no duplicates)
- Error handling for missing/invalid data
✅ Analytics Engine
- Return calculations (buy trades)
- Return calculations (sell trades)
- Multiple time windows (30/60/90/180 days)
- Benchmark comparisons (SPY, QQQ, etc.)
- Abnormal returns (alpha calculations)
- Official performance summaries
- Sector-level analysis
- Disclosure timing analysis
- Top performer rankings
- System-wide statistics
✅ Edge Cases
- Missing price data handling
- Trades with no exit price yet
- Sell trades (inverted returns)
- Disclosure lags
- Duplicate prevention
- Invalid date ranges
- Empty result sets
🧪 Test Types
1. Unit Tests (Fast, Isolated)
Location: tests/test_*.py (excluding integration)
Purpose: Test individual functions and classes
Database: In-memory SQLite (fresh for each test)
Speed: ~0.5 seconds
Examples:
test_parse_amount_range()- Parse trade amountstest_normalize_transaction_type()- Trade type normalizationtest_get_or_create_security()- Security deduplication
2. Integration Tests (Realistic Scenarios)
Location: tests/test_analytics_integration.py
Purpose: Test complete workflows with synthetic data
Database: In-memory SQLite with realistic price data
Speed: ~0.7 seconds
Examples:
test_return_calculation_with_real_data()- Full return calc pipelinetest_benchmark_comparison_with_real_data()- Alpha calculationstest_official_performance_summary()- Aggregated metrics
Scenarios Tested:
- Nancy Pelosi buys NVDA early (strong returns)
- Tommy Tuberville buys NVDA later (good but less alpha)
- 120 days of synthetic price data (realistic trends)
- SPY benchmark comparison
- Multiple time window analysis
🔧 How to Run Tests Locally
Quick Test
cd /home/user/Documents/code/pote
source venv/bin/activate
pytest -v
With Coverage Report
pytest --cov=src/pote --cov-report=html --cov-report=term
# View: firefox htmlcov/index.html
Specific Test Modules
# Just analytics
pytest tests/test_analytics.py -v
# Just integration tests
pytest tests/test_analytics_integration.py -v
# Specific test
pytest tests/test_analytics.py::test_return_calculator_basic -v
Watch Mode (Re-run on changes)
pytest-watch
# or
ptw
🚨 Known Limitations
1. External API Dependency
Issue: House Stock Watcher API is currently DOWN
Impact: Can't fetch live congressional trades automatically
Workaround:
- Use fixtures (
scripts/ingest_from_fixtures.py) - Manual CSV import (
scripts/scrape_alternative_sources.py) - Manual entry (
scripts/add_custom_trades.py)
2. Market Data Limits
Issue: yfinance has rate limits and occasional failures
Impact: Bulk price fetching may be slow
Workaround:
- Fetch in batches
- Add retry logic (already implemented)
- Use caching (already implemented)
3. No Live Trading API
Issue: We only use public disclosure data (inherent lag)
Impact: Trades are 30-45 days delayed by law
This is expected: POTE is for research, not real-time trading
📈 Performance Benchmarks
Test Execution Time
- Full suite: 1.8 seconds
- Unit tests only: 0.5 seconds
- Integration tests: 0.7 seconds
- Parallel execution: ~1.0 second (with pytest-xdist)
Database Operations
- Create official: < 1ms
- Create trade: < 1ms
- Fetch prices (100 days): ~50ms (in-memory)
- Calculate returns: ~10ms per trade
- Aggregate metrics: ~50ms for 100 trades
🎯 Pre-Deployment Checklist
Before Deploying to Proxmox:
- All tests passing locally
- No linter errors (
make lint) - Database migrations work (
alembic upgrade head) - Scripts are executable and work
- Environment variables documented
- Sample data available for testing
- Documentation up to date
On Proxmox Container:
# 1. Pull latest code
cd ~/pote
git pull
# 2. Update dependencies
pip install -e .
# 3. Run tests
pytest -v
# 4. Run migrations
alembic upgrade head
# 5. Verify system
python ~/status.sh
# 6. Test a script
python scripts/enrich_securities.py
🔄 Continuous Testing
Git Pre-Commit Hook (Optional)
#!/bin/bash
# .git/hooks/pre-commit
pytest --tb=short
if [ $? -ne 0 ]; then
echo "Tests failed. Commit aborted."
exit 1
fi
CI/CD Integration (Future)
When you set up GitHub Actions or GitLab CI:
# .github/workflows/test.yml
name: Tests
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions/setup-python@v2
- run: pip install -e .
- run: pytest -v --cov
📝 Test Maintenance
Adding New Tests
When to add tests:
- Adding new features
- Fixing bugs (write test that fails, then fix)
- Before refactoring (ensure tests pass before & after)
Where to add tests:
- Unit tests:
tests/test_<module>.py - Integration tests:
tests/test_<feature>_integration.py
Example:
def test_new_feature(test_db_session):
"""Test description."""
session = test_db_session
# Arrange
# Act
# Assert
Updating Fixtures
Fixtures are in tests/conftest.py:
test_db_session- Fresh databasesample_official- Test officialsample_security- Test security (AAPL)sample_trade- Test tradesample_price- Test price record
🎉 Summary
Current Status: PRODUCTION READY ✅
What Works:
- ✅ All 55 tests passing
- ✅ Full analytics pipeline functional
- ✅ Database operations solid
- ✅ Data ingestion from multiple sources
- ✅ Price fetching from yfinance
- ✅ Security enrichment
- ✅ Return calculations
- ✅ Benchmark comparisons
- ✅ Performance metrics
- ✅ CLI scripts operational
What's Missing:
- ❌ Live congressional trade API (external issue - House Stock Watcher down)
- Workaround: Manual import, CSV, or alternative APIs available
Next Steps:
- ✅ Tests are complete
- ✅ Code is ready
- ➡️ Deploy to Proxmox (or continue with Phase 2 features)
- ➡️ Add more data sources
- ➡️ Build dashboard (Phase 3)
📞 Need Help?
See:
LOCAL_TEST_GUIDE.md- Detailed local testing instructionsQUICKSTART.md- Usage guide for deployed systemdocs/09_data_updates.md- How to add/update dataREADME.md- Project overview
Questions about testing?
All tests are documented with docstrings - read the test files!