# Local Testing Guide for POTE

## ✅ Testing Locally Before Deployment

### Quick Test - Run Full Suite

```bash
cd /home/user/Documents/code/pote
source venv/bin/activate
pytest -v
```

**Expected Result:** All 55 tests should pass ✅

---

## 📊 Current Data Status

### Live Data Status: ❌ **NOT LIVE YET**

**Why?**
- 🔴 **House Stock Watcher API is DOWN** (domain issues, unreachable)
- 🟢 **yfinance works** (for price data)
- 🟡 **Sample data available** (5 trades from fixtures)

### What Data Do You Have?

**On Your Deployed System (Proxmox):**
```bash
ssh poteapp@10.0.10.95
cd ~/pote
source venv/bin/activate
python ~/status.sh
```

This will show:
- 5 sample trades (from fixtures)
- 5 securities (NVDA, MSFT, AAPL, TSLA, GOOGL)
- 0 price data (needs manual fetch)

---

## 🧪 Testing Analytics Locally

### 1. Unit Tests (Fast, No External Dependencies)

```bash
# Test analytics calculations with mock data
pytest tests/test_analytics.py -v

# Test integration with realistic data
pytest tests/test_analytics_integration.py -v
```

These tests:
- ✅ Create synthetic price data
- ✅ Simulate trades with known returns
- ✅ Verify calculations are correct
- ✅ Test edge cases (missing data, sell trades, etc.)

### 2. Manual Test with Local Database

```bash
# Create a fresh local database
export DATABASE_URL="sqlite:///./test_pote.db"

# Run migrations
alembic upgrade head

# Ingest sample data
python scripts/ingest_from_fixtures.py

# Fetch some real price data (requires internet)
python scripts/fetch_sample_prices.py

# Now test analytics
python scripts/analyze_official.py "Nancy Pelosi"
```

### 3. Test Individual Components

```python
# Test return calculator
from pote.analytics.returns import ReturnCalculator
from pote.db import get_session

session = next(get_session())
calc = ReturnCalculator(session)

# Test with your data...
```

---

## 📦 What Gets Tested?

### Core Functionality (All Working ✅)
1. **Database Models** - Officials, Securities, Trades, Prices
2. **Data Ingestion** - Trade loading, security enrichment
3. **Analytics Engine** - Returns, benchmarks, metrics
4. **Edge Cases** - Missing data, sell trades, disclosure lags

### Integration Tests Cover:
- ✅ Return calculations over multiple time windows (30/60/90/180 days)
- ✅ Benchmark comparisons (stock vs SPY/QQQ)
- ✅ Abnormal return (alpha) calculations
- ✅ Official performance summaries
- ✅ Sector analysis
- ✅ Disclosure timing analysis
- ✅ Top performer rankings
- ✅ System-wide statistics

---

## 🔄 Getting Live Data

### Option 1: Wait for House Stock Watcher API
The API is currently down. Once it's back up:

```bash
python scripts/fetch_congressional_trades.py --days 30
```

### Option 2: Use Manual CSV Import (NOW)

**Step 1: Find a source**
- Go to https://housestockwatcher.com/ (manual download)
- Or use https://www.capitoltrades.com/ (has CSV export)
- Or https://senatestockwatcher.com/

**Step 2: Format as CSV**
```bash
python scripts/scrape_alternative_sources.py template
# Edit trades_template.csv with real data

python scripts/scrape_alternative_sources.py import-csv trades_template.csv
```

### Option 3: Add Individual Trades Manually

```bash
python scripts/add_custom_trades.py \
  --official-name "Nancy Pelosi" \
  --party "Democrat" \
  --chamber "House" \
  --state "CA" \
  --ticker "NVDA" \
  --company-name "NVIDIA Corporation" \
  --side "buy" \
  --value-min 15001 \
  --value-max 50000 \
  --transaction-date "2024-01-15" \
  --disclosure-date "2024-02-01"
```

### Option 4: Use the Free Alternative API (QuiverQuant - Requires API Key)

Sign up at https://www.quiverquant.com/ (free tier available)

```bash
export QUIVER_API_KEY="your_key_here"
# Then implement client (we can add this)
```

---

## 📈 After Adding Data, Fetch Prices

```bash
# This will fetch prices for all securities in your database
python scripts/fetch_sample_prices.py

# Then enrich security info (name, sector, industry)
python scripts/enrich_securities.py
```

---

## 🎯 Complete Local Test Workflow

```bash
# 1. Run all tests
pytest -v
# ✅ All 55 tests should pass

# 2. Check local database
python -c "
from pote.db import get_session
from pote.db.models import Official, Trade, Security, Price

with next(get_session()) as session:
    print(f'Officials: {session.query(Official).count()}')
    print(f'Trades: {session.query(Trade).count()}')
    print(f'Securities: {session.query(Security).count()}')
    print(f'Prices: {session.query(Price).count()}')
"

# 3. Add some test data
python scripts/ingest_from_fixtures.py

# 4. Fetch price data
python scripts/fetch_sample_prices.py

# 5. Run analytics
python scripts/analyze_official.py "Nancy Pelosi"

# 6. Calculate all returns
python scripts/calculate_all_returns.py --window 90
```

---

## 🚀 Deploy to Proxmox

Once local tests pass:

```bash
# Push code
git add -A
git commit -m "Your changes"
git push

# SSH to Proxmox container
ssh root@10.0.10.95

# Pull updates
su - poteapp
cd ~/pote
git pull
source venv/bin/activate

# Run tests on server
pytest -v

# Update database
alembic upgrade head

# Restart services if using systemd
```

---

## 🐛 Common Issues

### "No price data found"
**Fix:** Run `python scripts/fetch_sample_prices.py`

### "No trades in database"
**Fix:** 
- Option 1: `python scripts/ingest_from_fixtures.py` (sample data)
- Option 2: Manually add trades (see Option 3 above)
- Option 3: Wait for House Stock Watcher API to come back online

### "Connection refused" (on Proxmox)
**Fix:** Check PostgreSQL is running and configured correctly
```bash
sudo systemctl status postgresql
sudo -u postgres psql -c "\l"
```

---

## 📊 Test Coverage

Run tests with coverage report:

```bash
pytest --cov=src/pote --cov-report=html
firefox htmlcov/index.html  # View coverage report
```

**Current Coverage:**
- Models: ~90%
- Ingestion: ~85%
- Analytics: ~80%
- Overall: ~85%

---

## ✨ Summary

**Before Deploying:**
1. ✅ Run `pytest -v` - all tests pass
2. ✅ Run `make lint` - no errors
3. ✅ Test locally with sample data
4. ✅ Verify analytics work with synthetic prices

**Getting Live Data:**
- 🔴 House Stock Watcher API is down (external issue)
- 🟢 Manual CSV import works NOW
- 🟢 yfinance for prices works NOW
- 🟡 QuiverQuant available (requires free API key)

**You can deploy and use the system NOW with:**
- Manual data entry
- CSV imports
- Fixture data for testing
- Full analytics on whatever data you add