POTE/TESTING_STATUS.md

POTE Testing Status Report

Date: December 15, 2025
Status: ✅ All Systems Operational - Ready for Deployment

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🎯 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%

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📊 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

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🧪 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 amounts
• test_normalize_transaction_type() - Trade type normalization
• test_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 pipeline
• test_benchmark_comparison_with_real_data() - Alpha calculations
• test_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

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🔧 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

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🚨 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

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📈 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

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🎯 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

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🔄 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

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📝 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 database
• sample_official - Test official
• sample_security - Test security (AAPL)
• sample_trade - Test trade
• sample_price - Test price record

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🎉 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:

1. ✅ Tests are complete
2. ✅ Code is ready
3. ➡️ Deploy to Proxmox (or continue with Phase 2 features)
4. ➡️ Add more data sources
5. ➡️ Build dashboard (Phase 3)

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📞 Need Help?

See:

• LOCAL_TEST_GUIDE.md - Detailed local testing instructions
• QUICKSTART.md - Usage guide for deployed system
• docs/09_data_updates.md - How to add/update data
• README.md - Project overview

Questions about testing?
All tests are documented with docstrings - read the test files!