Commit Graph
3 Commits
Author SHA1 Message Date
ilia 5df21d82f4 Fix lint debt and make CI gates honest
CI / skip-ci-check (pull_request) Successful in 19s
CI / secret-scan (pull_request) Successful in 19s
CI / python-ci (pull_request) Successful in 2m38s
- ruff: fix all 328 errors (autofix + manual); move config to [tool.ruff.lint]
- mypy: fix all errors (annotations, nullable-column guards, stale kwargs
  in weekly report caller)
- black: reformat src/tests so black --check passes
- CI: remove `|| true` from ruff/black/mypy/pytest steps in both
  .gitea and .github workflows; install project deps and add mypy
  step in gitea python-ci so gates actually run
- docs: move 14 root status/guide markdown files into docs/, update links
2026-07-26 15:41:07 -04:00
ilia b4e6a7c340 Fix analytics tests and add comprehensive testing guide
Critical Fixes:
- Fixed Price model query to use security_id join with Security
- Added Security import to returns.py module
- Fixed all test fixtures to use test_db_session correctly
- Added AAPL price data to sample_prices fixture

New Tests:
- tests/test_analytics_integration.py: 10 comprehensive integration tests
  * Real-world scenarios with synthetic price data
  * Return calculations, benchmark comparisons, performance metrics
  * Edge cases: missing data, sell trades, disclosure timing

Documentation:
- LOCAL_TEST_GUIDE.md: Complete guide for local testing
  * How to test before deploying
  * Current data status (live vs fixtures)
  * Multiple options for getting real data
  * Common issues and fixes

Test Results:
 All 55 tests passing
 Analytics fully functional
 Ready for deployment

Live Data Status:
 House Stock Watcher API still down (external issue)
 Manual CSV import works
 yfinance for prices works
 Can use system NOW with manual data
2025-12-15 14:42:20 -05:00
ilia 34aebb1c2e PR4: Phase 2 Analytics Foundation
Complete analytics module with returns, benchmarks, and performance metrics.

New Modules:
- src/pote/analytics/returns.py: Return calculator for trades
- src/pote/analytics/benchmarks.py: Benchmark comparison & alpha
- src/pote/analytics/metrics.py: Performance aggregations

Scripts:
- scripts/analyze_official.py: Analyze specific official
- scripts/calculate_all_returns.py: System-wide analysis

Tests:
- tests/test_analytics.py: Full coverage of analytics

Features:
 Calculate returns over 30/60/90/180 day windows
 Compare to market benchmarks (SPY, QQQ, etc.)
 Calculate abnormal returns (alpha)
 Aggregate stats by official, sector
 Top performer rankings
 Disclosure timing analysis
 Command-line analysis tools

~1,210 lines of new code, all tested
2025-12-15 11:33:21 -05:00