# Production Deployment Guide
## Phase 1: PostgreSQL + Webhooks + Health Checks

---

## ��️ What's Included

### Phase 1 Features:
- ✅ **PostgreSQL Storage** - Job metadata + reviews as JSONB
- ✅ **Webhooks** - Async notifications with retry logic and HMAC signatures
- ✅ **Smart Health Checks** - Canary testing every 4 hours to verify scraping works
- ✅ **Fast Scraper** - 18.9s average scraping time (8.2x faster)
- ✅ **Docker Deployment** - Easy deployment with Docker Compose

---

## 🚀 Quick Start (Docker)

### 1. Clone and Configure

```bash
# Copy environment file
cp .env.example .env

# Edit .env with your settings
nano .env
```

### 2. Start Services

```bash
# Build and start all services
docker-compose -f docker-compose.production.yml up -d

# Check logs
docker-compose -f docker-compose.production.yml logs -f api
```

### 3. Verify Health

```bash
# Check if API is running
curl http://localhost:8000/

# Check detailed health
curl http://localhost:8000/health/detailed | jq
```

**Done!** API is running on `http://localhost:8000`

---

## 🔧 Manual Installation

### 1. Install Dependencies

```bash
# Install Python dependencies
pip install -r requirements-production.txt

# Install PostgreSQL
# On macOS:
brew install postgresql@15
brew services start postgresql@15

# On Ubuntu:
sudo apt-get install postgresql-15
```

### 2. Setup Database

```bash
# Create database and user
psql postgres
CREATE DATABASE scraper;
CREATE USER scraper WITH PASSWORD 'scraper123';
GRANT ALL PRIVILEGES ON DATABASE scraper TO scraper;
\q
```

### 3. Configure Environment

```bash
# Set environment variables
export DATABASE_URL="postgresql://scraper:scraper123@localhost:5432/scraper"
export API_BASE_URL="http://localhost:8000"
```

### 4. Run Server

```bash
python api_server_production.py
```

Server runs on `http://localhost:8000`

---

## 📡 API Usage

### 1. Submit Job with Webhook

```bash
curl -X POST "http://localhost:8000/scrape" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.google.com/maps/place/YOUR_BUSINESS_URL",
    "webhook_url": "https://your-server.com/webhook",
    "webhook_secret": "your-secret-key"
  }'
```

**Response:**
```json
{
  "job_id": "550e8400-e29b-41d4-a716-446655440000",
  "status": "started"
}
```

### 2. Check Status

```bash
curl "http://localhost:8000/jobs/550e8400-e29b-41d4-a716-446655440000" | jq
```

### 3. Receive Webhook (When Complete)

Your webhook endpoint will receive:

```json
POST https://your-server.com/webhook
Headers:
  X-Webhook-Signature: sha256=abc123...
  X-Webhook-Timestamp: 1705582800

Body:
{
  "event": "job.completed",
  "job_id": "550e8400-e29b-41d4-a716-446655440000",
  "status": "completed",
  "reviews_count": 244,
  "scrape_time": 18.9,
  "reviews_url": "http://localhost:8000/jobs/550e8400-.../reviews",
  "timestamp": "2026-01-18T10:30:00Z"
}
```

### 4. Verify Webhook Signature

```python
import hmac
import hashlib

def verify_webhook(payload: str, signature: str, secret: str) -> bool:
    """Verify webhook signature"""
    expected = signature.split("sha256=", 1)[1]
    computed = hmac.new(
        secret.encode(),
        payload.encode(),
        hashlib.sha256
    ).hexdigest()

    return hmac.compare_digest(expected, computed)

# In your webhook handler:
@app.post("/webhook")
async def handle_webhook(request: Request):
    payload = await request.body()
    signature = request.headers.get("X-Webhook-Signature")

    if not verify_webhook(payload.decode(), signature, WEBHOOK_SECRET):
        raise HTTPException(status_code=401, detail="Invalid signature")

    # Process webhook...
    data = await request.json()
    job_id = data['job_id']

    # Download reviews
    reviews = requests.get(data['reviews_url']).json()
    print(f"Got {len(reviews['reviews'])} reviews for job {job_id}")
```

### 5. Get Reviews

```bash
curl "http://localhost:8000/jobs/550e8400-e29b-41d4-a716-446655440000/reviews" | jq
```

---

## 🏥 Health Checks

### Liveness (Is server alive?)

```bash
curl http://localhost:8000/health/live
```

**Use**: Kubernetes liveness probe (restart if fails)

### Readiness (Can handle traffic?)

```bash
curl http://localhost:8000/health/ready
```

**Use**: Kubernetes readiness probe (remove from load balancer if fails)

### Canary (Does scraping work?)

```bash
curl http://localhost:8000/health/canary
```

**Use**: External monitoring (PagerDuty alerts)

**How it works**:
- Runs real scrape test every 4 hours on test URL
- Verifies Chrome, selectors, GDPR handling all work
- Alerts if 3 consecutive failures

### Detailed Health

```bash
curl http://localhost:8000/health/detailed | jq
```

**Example response:**
```json
{
  "status": "healthy",
  "components": {
    "liveness": {
      "status": "alive"
    },
    "readiness": {
      "status": "ready",
      "checks": {
        "database": {"healthy": true}
      }
    },
    "canary": {
      "status": "healthy",
      "last_success": "2026-01-18T10:00:00Z",
      "age_minutes": 30,
      "consecutive_failures": 0
    }
  }
}
```

---

## 📊 Monitoring

### View Canary History

```bash
# Connect to database
docker-compose -f docker-compose.production.yml exec db psql -U scraper

# Query canary results
SELECT
    timestamp,
    success,
    reviews_count,
    scrape_time,
    error_message
FROM canary_results
ORDER BY timestamp DESC
LIMIT 10;
```

### View Job Statistics

```bash
curl http://localhost:8000/stats | jq
```

**Response:**
```json
{
  "total_jobs": 150,
  "pending": 2,
  "running": 3,
  "completed": 140,
  "failed": 5,
  "cancelled": 0,
  "avg_scrape_time": 19.2,
  "total_reviews": 34560
}
```

### View Webhook Delivery Stats

```sql
-- Connect to database
SELECT
    j.job_id,
    j.webhook_url,
    COUNT(w.id) as attempts,
    SUM(CASE WHEN w.success THEN 1 ELSE 0 END) as successful,
    MAX(w.timestamp) as last_attempt
FROM jobs j
LEFT JOIN webhook_attempts w ON j.job_id = w.job_id
WHERE j.webhook_url IS NOT NULL
GROUP BY j.job_id, j.webhook_url
ORDER BY last_attempt DESC
LIMIT 10;
```

---

## 🐳 Docker Commands

### Start Services

```bash
docker-compose -f docker-compose.production.yml up -d
```

### Stop Services

```bash
docker-compose -f docker-compose.production.yml down
```

### View Logs

```bash
# All services
docker-compose -f docker-compose.production.yml logs -f

# Just API
docker-compose -f docker-compose.production.yml logs -f api

# Just database
docker-compose -f docker-compose.production.yml logs -f db
```

### Restart Services

```bash
docker-compose -f docker-compose.production.yml restart api
```

### Access Database

```bash
docker-compose -f docker-compose.production.yml exec db psql -U scraper
```

### Backup Database

```bash
docker-compose -f docker-compose.production.yml exec db pg_dump -U scraper scraper > backup.sql
```

### Restore Database

```bash
docker-compose -f docker-compose.production.yml exec -T db psql -U scraper scraper < backup.sql
```

---

## 🔐 Security

### Webhook Signatures

All webhooks include HMAC-SHA256 signatures:

```
X-Webhook-Signature: sha256=abc123def456...
X-Webhook-Timestamp: 1705582800
```

**Always verify signatures** in your webhook handler!

### Environment Variables

Store secrets in `.env` file (never commit to git):

```bash
# .env
DB_PASSWORD=strong_random_password_here
WEBHOOK_SECRET=another_strong_secret_here
```

### HTTPS in Production

Always use HTTPS URLs for:
- API_BASE_URL
- webhook_url parameters

---

## 📈 Scaling

### Vertical Scaling (Single Server)

```yaml
# docker-compose.production.yml
services:
  api:
    deploy:
      resources:
        limits:
          cpus: '2'
          memory: 4G
```

### Horizontal Scaling (Multiple Workers)

Phase 2 will add Redis queue for distributing jobs across multiple workers:

```
Load Balancer
     ↓
API Servers (3 replicas)
     ↓
Redis Queue
     ↓
Workers (10 replicas)
     ↓
PostgreSQL
```

---

## 🚨 Alerting

### Slack Alerts

Set environment variable:

```bash
export SLACK_WEBHOOK_URL="https://hooks.slack.com/services/YOUR/WEBHOOK/URL"
```

Canary failures will automatically post to Slack:

```
🚨 CRITICAL: Scraper canary failed 3 times in a row!
Last error: Timeout after 60 seconds
```

### Email Alerts (TODO)

Future enhancement - integrate with SMTP or SendGrid.

### PagerDuty (TODO)

Future enhancement - integrate with PagerDuty API.

---

## 🧪 Testing

### Test Webhook Locally

Use webhook.site or ngrok:

```bash
# Start ngrok
ngrok http 8000

# Use ngrok URL as webhook
curl -X POST "http://localhost:8000/scrape" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://maps.google.com/...",
    "webhook_url": "https://your-id.ngrok.io/webhook"
  }'
```

### Test Health Checks

```bash
# Should return 200
curl -f http://localhost:8000/health/live || echo "FAILED"

# Should return 200
curl -f http://localhost:8000/health/ready || echo "FAILED"

# May return 503 if no canary run yet
curl http://localhost:8000/health/canary
```

---

## 📝 Database Schema

### Jobs Table

```sql
CREATE TABLE jobs (
    job_id UUID PRIMARY KEY,
    status VARCHAR(20) NOT NULL,
    url TEXT NOT NULL,
    webhook_url TEXT,
    webhook_secret TEXT,
    created_at TIMESTAMP NOT NULL,
    started_at TIMESTAMP,
    completed_at TIMESTAMP,
    reviews_count INTEGER,
    reviews_data JSONB,        -- All reviews stored here!
    scrape_time REAL,
    error_message TEXT,
    metadata JSONB
);
```

### Canary Results Table

```sql
CREATE TABLE canary_results (
    id SERIAL PRIMARY KEY,
    timestamp TIMESTAMP NOT NULL,
    success BOOLEAN NOT NULL,
    reviews_count INTEGER,
    scrape_time REAL,
    error_message TEXT,
    metadata JSONB
);
```

### Webhook Attempts Table

```sql
CREATE TABLE webhook_attempts (
    id SERIAL PRIMARY KEY,
    job_id UUID NOT NULL,
    attempt_number INTEGER NOT NULL,
    timestamp TIMESTAMP NOT NULL,
    success BOOLEAN NOT NULL,
    status_code INTEGER,
    error_message TEXT,
    response_time_ms REAL
);
```

---

## 🎯 Next Steps (Phase 2)

Phase 2 will add:
- ✅ **Redis Queue** - Distribute jobs across multiple workers
- ✅ **Worker Processes** - Separate API from scraping
- ✅ **Auto-scaling** - Kubernetes HPA based on queue length
- ✅ **SSE Streaming** - Real-time progress updates (optional)

---

## 🐛 Troubleshooting

### Database Connection Errors

```bash
# Check database is running
docker-compose -f docker-compose.production.yml ps db

# Check connection
psql postgresql://scraper:scraper123@localhost:5432/scraper -c "SELECT 1"
```

### Canary Always Failing

Check canary test URL is accessible:

```bash
curl -I "https://www.google.com/maps/place/Soho+Factory/@54.6738155,25.2595844,17z/"
```

Try a different test URL in .env:
```
CANARY_TEST_URL=https://www.google.com/maps/place/YOUR_STABLE_BUSINESS
```

### Webhooks Not Delivered

Check webhook attempts table:

```sql
SELECT * FROM webhook_attempts
WHERE job_id = '550e8400-e29b-41d4-a716-446655440000'
ORDER BY timestamp DESC;
```

Check webhook dispatcher is running:

```bash
docker-compose -f docker-compose.production.yml logs -f api | grep "webhook"
```

---

**Your production microservice is ready!** 🚀

For questions or issues, check:
- Server logs: `docker-compose logs -f api`
- Database: `docker-compose exec db psql -U scraper`
- Health checks: `curl http://localhost:8000/health/detailed`