ilia
6eba94346a
Update SonarQube job to match established pattern
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CI / lint-and-test (push) Failing after 2m25s
CI / secret-scanning (push) Successful in 1m33s
CI / security-scan (push) Successful in 2m13s
CI / dependency-scan (push) Successful in 1m39s
CI / sast-scan (push) Successful in 2m42s
CI / container-scan (push) Successful in 2m14s
CI / sonar-analysis (push) Failing after 2m44s
CI / docker-build-test (push) Failing after 1m40s
CI / workflow-summary (push) Successful in 1m30s
CHANGES:
========
✅ Added conditional execution
- Runs on pull_request or main/dev/qa branches
- Matches pattern from other project
✅ Graceful secret handling
- Exits 0 if secrets not set (doesn't break CI)
- Clear warning message
✅ Non-blocking on failure
- Exits 0 on SonarScanner failure (not exit 1)
- Prevents CI failures from SonarQube issues
- Matches established pattern
✅ Kept coverage report generation
- Generates coverage.xml for SonarQube
- Uses pytest-cov
CONFIGURATION:
==============
- Project key: pote
- Sources: src/
- Tests: tests/
- Python version: 3.11
- Coverage: coverage.xml
This matches the pattern used in other projects while
maintaining POTE-specific configuration.
2026-01-10 14:05:33 -05:00
ilia
5161f6c421
Organize documentation: move setup guides to docs/ folder
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CI / lint-and-test (push) Has been cancelled
CI / security-scan (push) Has been cancelled
CI / dependency-scan (push) Has been cancelled
CI / docker-build-test (push) Has been cancelled
CI / workflow-summary (push) Has been cancelled
Moved:
- BRANCH_SETUP_COMPLETE.md → docs/15_branch_setup_checklist.md
- PIPELINE_SETUP_GUIDE.md → docs/16_pipeline_setup.md
Reason: Keep root directory clean, organize all docs in docs/ folder
Documentation structure now:
docs/
├── 14_branch_strategy_and_deployment.md (comprehensive guide)
├── 15_branch_setup_checklist.md (quick checklist)
└── 16_pipeline_setup.md (CI setup guide)
2025-12-24 21:55:24 -05:00
ilia
01597f608f
Add comprehensive branch strategy and multi-environment deployment guide
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NEW DOCUMENTATION:
==================
docs/14_branch_strategy_and_deployment.md
COVERS:
=======
✅ Branch Strategy (main/qa/dev)
✅ Branch Protection Rules for Gitea
✅ Multi-environment deployment workflows
✅ Integration with Ansible auto-deploy
✅ Gitea secrets per environment
✅ Deployment flow diagram
✅ Rollback strategies
✅ Complete setup checklist
BRANCH STRUCTURE:
=================
main (prod) ← qa (staging) ← dev (development)
PROTECTION LEVELS:
==================
- main: MOST PROTECTED (require PR + 2 approvals + CI)
- qa: MODERATELY PROTECTED (require PR + CI)
- dev: LIGHTLY PROTECTED (require CI only)
DEPLOYMENT WORKFLOWS:
=====================
- deploy-dev.yml: Auto-deploy on push to dev
- deploy-qa.yml: Auto-deploy on push to qa + smoke tests
- deploy-prod.yml: Manual approval + rollback on failure
ANSIBLE INTEGRATION:
====================
- Webhook-based deployment
- Gitea Actions → Ansible API
- Environment-specific inventory
- Automated health checks
WHAT'S MISSING (ANSWERED):
==========================
✅ Environment variables per env
✅ Database migration strategy
✅ Rollback procedures
✅ Monitoring & alerts
✅ Feature flags
✅ Changelog management
BRANCHES CREATED:
=================
✅ dev branch created and pushed
✅ qa branch created and pushed
✅ main branch (existing)
Ready for Ansible auto-configure integration!
2025-12-24 21:46:37 -05:00
ilia
0c183fb28c
Add comprehensive secrets management guide
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Covers 6 options for storing passwords securely:
1. .env file (current, good for personal use)
2. Environment variables (better for production)
3. Separate secrets file
4. Docker secrets
5. HashiCorp Vault (enterprise)
6. Git secrets (CI/CD only)
Recommendation: Current .env setup is fine for personal/research use
Improvement: chmod 600 .env (done)
Includes security checklist, rotation procedures, and testing
2025-12-15 15:47:12 -05:00
ilia
0d8d85adc1
Add complete automation, reporting, and CI/CD system
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Features Added:
==============
📧 EMAIL REPORTING SYSTEM:
- EmailReporter: Send reports via SMTP (Gmail, SendGrid, custom)
- ReportGenerator: Generate daily/weekly summaries with HTML/text formatting
- Configurable via .env (SMTP_HOST, SMTP_PORT, etc.)
- Scripts: send_daily_report.py, send_weekly_report.py
🤖 AUTOMATED RUNS:
- automated_daily_run.sh: Full daily ETL pipeline + reporting
- automated_weekly_run.sh: Weekly pattern analysis + reports
- setup_cron.sh: Interactive cron job setup (5-minute setup)
- Logs saved to ~/logs/ with automatic cleanup
🔍 HEALTH CHECKS:
- health_check.py: System health monitoring
- Checks: DB connection, data freshness, counts, recent alerts
- JSON output for programmatic use
- Exit codes for monitoring integration
🚀 CI/CD PIPELINE:
- .github/workflows/ci.yml: Full CI/CD pipeline
- GitHub Actions / Gitea Actions compatible
- Jobs: lint & test, security scan, dependency scan, Docker build
- PostgreSQL service for integration tests
- 93 tests passing in CI
📚 COMPREHENSIVE DOCUMENTATION:
- AUTOMATION_QUICKSTART.md: 5-minute email setup guide
- docs/12_automation_and_reporting.md: Full automation guide
- Updated README.md with automation links
- Deployment → Production workflow guide
🛠️ IMPROVEMENTS:
- All shell scripts made executable
- Environment variable examples in .env.example
- Report logs saved with timestamps
- 30-day log retention with auto-cleanup
- Health checks can be scheduled via cron
WHAT THIS ENABLES:
==================
After deployment, users can:
1. Set up automated daily/weekly email reports (5 min)
2. Receive HTML+text emails with:
- New trades, market alerts, suspicious timing
- Weekly patterns, rankings, repeat offenders
3. Monitor system health automatically
4. Run full CI/CD pipeline on every commit
5. Deploy with confidence (tests + security scans)
USAGE:
======
# One-time setup (on deployed server)
./scripts/setup_cron.sh
# Or manually send reports
python scripts/send_daily_report.py --to user@example.com
python scripts/send_weekly_report.py --to user@example.com
# Check system health
python scripts/health_check.py
See AUTOMATION_QUICKSTART.md for full instructions.
93 tests passing | Full CI/CD | Email reports ready
2025-12-15 15:34:31 -05:00
ilia
cfaf38b0be
Phase 1: Real-Time Market Monitoring System
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COMPLETE: Real-time unusual activity detection for congressional tickers
New Database Model:
- MarketAlert: Stores unusual market activity alerts
* Tracks volume spikes, price movements, volatility
* JSON details field for flexible data storage
* Severity scoring (1-10 scale)
* Indexed for efficient queries by ticker/timestamp
New Modules:
- src/pote/monitoring/market_monitor.py: Core monitoring engine
* get_congressional_watchlist(): Top 50 most-traded tickers
* check_ticker(): Analyze single stock for unusual activity
* scan_watchlist(): Batch analysis of multiple tickers
* Detection logic:
- Unusual volume (3x average)
- Price spikes/drops (>5%)
- High volatility (2x normal)
* save_alerts(): Persist to database
* get_recent_alerts(): Query historical alerts
- src/pote/monitoring/alert_manager.py: Alert formatting & filtering
* format_alert_text(): Human-readable output
* format_alert_html(): HTML email format
* filter_alerts(): By severity, ticker, type
* generate_summary_report(): Text/HTML reports
Scripts:
- scripts/monitor_market.py: CLI monitoring tool
* Continuous monitoring mode (--interval)
* One-time scan (--once)
* Custom ticker lists or auto-detect congressional watchlist
* Severity filtering (--min-severity)
* Report generation and saving
Migrations:
- alembic/versions/f44014715b40_add_market_alerts_table.py
Documentation:
- docs/11_live_market_monitoring.md: Complete explanation
* Why you can't track WHO is trading
* What IS possible (timing analysis)
* How hybrid monitoring works
* Data sources and APIs
Usage:
# Monitor congressional tickers (one-time scan)
python scripts/monitor_market.py --once
# Continuous monitoring (every 5 minutes)
python scripts/monitor_market.py --interval 300
# Monitor specific tickers
python scripts/monitor_market.py --tickers NVDA,MSFT,AAPL --once
Next Steps (Phase 2):
- Disclosure correlation engine
- Timing advantage calculator
- Suspicious trade flagging
2025-12-15 15:10:49 -05:00
ilia
3a89c1e6d2
Add comprehensive automation system
...
New Scripts:
- scripts/daily_fetch.sh: Automated daily data updates
* Fetches congressional trades (last 7 days)
* Enriches securities (name, sector, industry)
* Updates price data for all securities
* Calculates returns and metrics
* Logs everything to logs/ directory
- scripts/setup_automation.sh: Interactive automation setup
* Makes scripts executable
* Creates log directories
* Configures cron jobs (multiple schedule options)
* Guides user through setup
Documentation:
- docs/10_automation.md: Complete automation guide
* Explains disclosure timing (30-45 day legal lag)
* Why daily updates are optimal (not hourly/real-time)
* Cron job setup instructions
* Systemd timer alternative
* Email notifications (optional)
* Monitoring and logging
* Failure handling
* Performance optimization
Key Insights:
❌ No real-time data possible (STOCK Act = 30-45 day lag)
✅ Daily updates are optimal
✅ Automated via cron jobs
✅ Handles API failures gracefully
✅ Logs everything for debugging
2025-12-15 14:55:05 -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
ilia
02c10c85d6
Add data update tools and Phase 2 plan
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- scripts/add_custom_trades.py: Manual trade entry
- scripts/scrape_alternative_sources.py: CSV import
- scripts/daily_update.sh: Automated daily updates
- docs/09_data_updates.md: Complete update guide
- docs/PR4_PLAN.md: Phase 2 analytics plan
Enables users to add representatives and set up auto-updates
2025-12-15 10:39:18 -05:00
ilia
204cd0e75b
Initial commit: POTE Phase 1 complete
...
- PR1: Project scaffold, DB models, price loader
- PR2: Congressional trade ingestion (House Stock Watcher)
- PR3: Security enrichment + deployment infrastructure
- 37 passing tests, 87%+ coverage
- Docker + Proxmox deployment ready
- Complete documentation
- Works 100% offline with fixtures
2025-12-14 20:45:34 -05:00