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