# Quick Start Guide

Get the scraper running in minutes without downloading YOLO models!

## Minimal Setup (No Object Detection)

The scraper works perfectly fine **without** YOLO object detection. You can run it immediately and add object detection later if needed.

### Step 1: Run the Scraper

```bash
# Using Maven
mvn clean compile exec:java -Dexec.mainClass="com.auction.scraper.TroostwijkScraper"
```

Or in IntelliJ IDEA:
1. Open `TroostwijkScraper.java`
2. Right-click on the `main` method
3. Select "Run 'TroostwijkScraper.main()'"

### What You'll See

```
=== Troostwijk Auction Scraper ===

Initializing scraper...
⚠️  Object detection disabled: YOLO model files not found
   Expected files:
   - models/yolov4.cfg
   - models/yolov4.weights
   - models/coco.names
   Scraper will continue without image analysis.

[1/3] Discovering Dutch auctions...
✓ Found 5 auctions: [12345, 12346, 12347, 12348, 12349]

[2/3] Fetching lot details...
  Processing sale 12345...

[3/3] Starting monitoring service...
✓ Monitoring active. Press Ctrl+C to stop.
```

### Step 2: Test Desktop Notifications

The scraper will automatically send desktop notifications when:
- A new bid is placed on a monitored lot
- An auction is closing within 5 minutes

**No setup required** - desktop notifications work out of the box!

---

## Optional: Add Email Notifications

If you want email notifications in addition to desktop notifications:

```bash
# Set environment variable
export NOTIFICATION_CONFIG="smtp:your.email@gmail.com:app_password:your.email@gmail.com"

# Then run the scraper
mvn exec:java -Dexec.mainClass="com.auction.scraper.TroostwijkScraper"
```

**Get Gmail App Password:**
1. Enable 2FA in Google Account
2. Go to: Google Account → Security → 2-Step Verification → App passwords
3. Generate password for "Mail"
4. Use that password (not your regular Gmail password)

---

## Optional: Add Object Detection Later

If you want AI-powered image analysis to detect objects in auction photos:

### 1. Create models directory
```bash
mkdir models
cd models
```

### 2. Download YOLO files
```bash
# YOLOv4 config (small)
curl -O https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4.cfg

# YOLOv4 weights (245 MB - takes a few minutes)
curl -LO https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights

# COCO class names
curl -O https://raw.githubusercontent.com/AlexeyAB/darknet/master/data/coco.names
```

### 3. Run again
```bash
mvn exec:java -Dexec.mainClass="com.auction.scraper.TroostwijkScraper"
```

Now you'll see:
```
✓ Object detection enabled with YOLO
```

The scraper will now analyze auction images and detect objects like:
- Vehicles (cars, trucks, forklifts)
- Equipment (machines, tools)
- Furniture
- Electronics
- And 80+ other object types

---

## Features Without Object Detection

Even without YOLO, the scraper provides:

✅ **Full auction scraping** - Discovers all Dutch auctions
✅ **Lot tracking** - Monitors bids and closing times
✅ **Desktop notifications** - Real-time alerts
✅ **SQLite database** - All data persisted locally
✅ **Image downloading** - Saves all lot images
✅ **Scheduled monitoring** - Automatic updates every hour

Object detection simply adds:
- AI-powered image analysis
- Automatic object labeling
- Searchable image database

---

## Database Location

The scraper creates `troostwijk.db` in your current directory with:
- All auction data
- Lot details (title, description, bids, etc.)
- Downloaded image paths
- Object labels (if detection enabled)

View the database with any SQLite browser:
```bash
sqlite3 troostwijk.db
.tables
SELECT * FROM lots LIMIT 5;
```

---

## Stopping the Scraper

Press **Ctrl+C** to stop the monitoring service.

---

## Next Steps

1. ✅ **Run the scraper** without YOLO to test it
2. ✅ **Verify desktop notifications** work
3. ⚙️ **Optional**: Add email notifications
4. ⚙️ **Optional**: Download YOLO models for object detection
5. 🔧 **Customize**: Edit monitoring frequency, closing alerts, etc.

---

## Troubleshooting

### Desktop notifications not appearing?
- **Windows**: Check if Java has notification permissions
- **Linux**: Ensure desktop environment is running (not headless)
- **macOS**: Check System Preferences → Notifications

### OpenCV warnings?
These are normal and can be ignored:
```
WARNING: A restricted method in java.lang.System has been called
WARNING: Use --enable-native-access=ALL-UNNAMED to avoid warning
```

The scraper works fine despite these warnings.

---

## Full Documentation

See [README.md](../README.md) for complete documentation including:
- Email setup details
- YOLO installation guide
- Configuration options
- Database schema
- API endpoints