Initial commit

v2_lizenzserver/services/analytics/Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    gcc \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Create non-root user
+RUN useradd -m -u 1000 analytics && chown -R analytics:analytics /app
+USER analytics
+
+# Expose port
+EXPOSE 5003
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=3s --start-period=40s --retries=3 \
+    CMD python -c "import requests; requests.get('http://localhost:5003/health').raise_for_status()"
+
+# Run the application
+CMD ["python", "app.py"]

v2_lizenzserver/services/analytics/__init__.py

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+# Analytics Service Package

v2_lizenzserver/services/analytics/app.py

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+from flask import Flask, jsonify, request
+from flask_cors import CORS
+from datetime import datetime, timedelta
+import os
+import psycopg2
+from psycopg2.extras import RealDictCursor
+from psycopg2.pool import SimpleConnectionPool
+import redis
+import json
+import logging
+from functools import wraps
+import jwt
+from collections import defaultdict
+import numpy as np
+from prometheus_flask_exporter import PrometheusMetrics
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+app = Flask(__name__)
+CORS(app)
+
+# Initialize Prometheus metrics
+metrics = PrometheusMetrics(app)
+metrics.info('analytics_service_info', 'Analytics Service Information', version='1.0.0')
+
+# Configuration
+DATABASE_URL = os.environ.get('DATABASE_URL', 'postgresql://postgres:postgres@postgres:5432/v2_adminpanel')
+REDIS_URL = os.environ.get('REDIS_URL', 'redis://redis:6379/2')
+JWT_SECRET = os.environ.get('JWT_SECRET', 'your-secret-key')
+SERVICE_PORT = 5003
+
+# Database connection pool
+db_pool = SimpleConnectionPool(1, 20, DATABASE_URL)
+
+# Redis client
+redis_client = redis.from_url(REDIS_URL, decode_responses=True)
+
+# Cache decorator
+def cache_result(ttl=300):
+    def decorator(f):
+        @wraps(f)
+        def wrapper(*args, **kwargs):
+            cache_key = f"analytics:{f.__name__}:{str(args)}:{str(kwargs)}"
+            cached = redis_client.get(cache_key)
+            if cached:
+                return json.loads(cached)
+            result = f(*args, **kwargs)
+            redis_client.setex(cache_key, ttl, json.dumps(result, default=str))
+            return result
+        return wrapper
+    return decorator
+
+# JWT validation decorator
+def require_auth(f):
+    @wraps(f)
+    def wrapper(*args, **kwargs):
+        auth_header = request.headers.get('Authorization')
+        if not auth_header or not auth_header.startswith('Bearer '):
+            return jsonify({'error': 'Missing or invalid authorization header'}), 401
+        
+        token = auth_header.split(' ')[1]
+        try:
+            payload = jwt.decode(token, JWT_SECRET, algorithms=['HS256'])
+            request.jwt_payload = payload
+        except jwt.ExpiredSignatureError:
+            return jsonify({'error': 'Token expired'}), 401
+        except jwt.InvalidTokenError:
+            return jsonify({'error': 'Invalid token'}), 401
+        
+        return f(*args, **kwargs)
+    return wrapper
+
+# Database query helper
+def execute_query(query, params=None, fetchall=True):
+    conn = db_pool.getconn()
+    try:
+        with conn.cursor(cursor_factory=RealDictCursor) as cur:
+            cur.execute(query, params)
+            if fetchall:
+                return cur.fetchall()
+            return cur.fetchone()
+    finally:
+        db_pool.putconn(conn)
+
+# Analytics calculations
+class AnalyticsService:
+    @staticmethod
+    @cache_result(ttl=60)
+    def get_usage_statistics(customer_id=None, days=30):
+        """Get usage statistics for licenses"""
+        base_query = """
+            SELECT 
+                DATE(lh.timestamp) as date,
+                COUNT(DISTINCT lh.license_id) as active_licenses,
+                COUNT(DISTINCT lh.hardware_id) as active_devices,
+                COUNT(*) as total_heartbeats,
+                COUNT(DISTINCT lh.session_data->>'app_version') as app_versions
+            FROM license_heartbeats lh
+            JOIN licenses l ON l.id = lh.license_id
+            WHERE lh.timestamp >= NOW() - INTERVAL '%s days'
+        """
+        
+        params = [days]
+        if customer_id:
+            base_query += " AND l.customer_id = %s"
+            params.append(customer_id)
+        
+        base_query += " GROUP BY DATE(lh.timestamp) ORDER BY date DESC"
+        
+        return execute_query(base_query, params)
+    
+    @staticmethod
+    @cache_result(ttl=300)
+    def get_performance_metrics(days=7):
+        """Get system performance metrics"""
+        query = """
+            SELECT 
+                DATE_TRUNC('hour', timestamp) as hour,
+                AVG(EXTRACT(EPOCH FROM (timestamp - LAG(timestamp) OVER (PARTITION BY license_id ORDER BY timestamp)))) as avg_heartbeat_interval,
+                COUNT(*) as validation_count,
+                COUNT(DISTINCT license_id) as unique_licenses,
+                COUNT(DISTINCT hardware_id) as unique_devices
+            FROM license_heartbeats
+            WHERE timestamp >= NOW() - INTERVAL '%s days'
+            GROUP BY DATE_TRUNC('hour', timestamp)
+            ORDER BY hour DESC
+        """
+        return execute_query(query, [days])
+    
+    @staticmethod
+    @cache_result(ttl=120)
+    def get_anomaly_statistics(days=30):
+        """Get anomaly detection statistics"""
+        query = """
+            SELECT 
+                anomaly_type,
+                severity,
+                COUNT(*) as count,
+                COUNT(CASE WHEN resolved = false THEN 1 END) as unresolved_count,
+                AVG(CASE WHEN resolved = true THEN EXTRACT(EPOCH FROM (resolved_at - detected_at))/3600 END) as avg_resolution_hours
+            FROM anomaly_detections
+            WHERE detected_at >= NOW() - INTERVAL '%s days'
+            GROUP BY anomaly_type, severity
+            ORDER BY count DESC
+        """
+        return execute_query(query, [days])
+    
+    @staticmethod
+    @cache_result(ttl=300)
+    def get_license_distribution():
+        """Get license distribution statistics"""
+        query = """
+            SELECT 
+                l.license_type,
+                l.is_test,
+                COUNT(*) as total_count,
+                COUNT(CASE WHEN l.is_active = true THEN 1 END) as active_count,
+                COUNT(CASE WHEN lh.timestamp >= NOW() - INTERVAL '1 hour' THEN 1 END) as recently_active,
+                AVG(l.device_limit) as avg_device_limit
+            FROM licenses l
+            LEFT JOIN LATERAL (
+                SELECT timestamp 
+                FROM license_heartbeats 
+                WHERE license_id = l.id 
+                ORDER BY timestamp DESC 
+                LIMIT 1
+            ) lh ON true
+            GROUP BY l.license_type, l.is_test
+        """
+        return execute_query(query)
+    
+    @staticmethod
+    def get_revenue_impact(days=30):
+        """Calculate revenue impact from license usage"""
+        query = """
+            WITH license_activity AS (
+                SELECT 
+                    l.id,
+                    l.customer_id,
+                    l.license_type,
+                    l.price,
+                    COUNT(DISTINCT DATE(lh.timestamp)) as active_days,
+                    COUNT(DISTINCT lh.hardware_id) as devices_used
+                FROM licenses l
+                LEFT JOIN license_heartbeats lh ON l.id = lh.license_id
+                    AND lh.timestamp >= NOW() - INTERVAL '%s days'
+                WHERE l.is_test = false
+                GROUP BY l.id, l.customer_id, l.license_type, l.price
+            )
+            SELECT 
+                license_type,
+                COUNT(*) as total_licenses,
+                SUM(price) as total_revenue,
+                AVG(active_days) as avg_active_days,
+                AVG(devices_used) as avg_devices_used,
+                SUM(CASE WHEN active_days > 0 THEN price ELSE 0 END) as active_revenue,
+                SUM(CASE WHEN active_days = 0 THEN price ELSE 0 END) as inactive_revenue
+            FROM license_activity
+            GROUP BY license_type
+        """
+        return execute_query(query, [days])
+    
+    @staticmethod
+    @cache_result(ttl=600)
+    def get_geographic_distribution():
+        """Get geographic distribution of license usage"""
+        query = """
+            SELECT 
+                lh.ip_address::text,
+                COUNT(DISTINCT lh.license_id) as license_count,
+                COUNT(DISTINCT lh.hardware_id) as device_count,
+                COUNT(*) as total_validations,
+                MAX(lh.timestamp) as last_seen
+            FROM license_heartbeats lh
+            WHERE lh.timestamp >= NOW() - INTERVAL '24 hours'
+                AND lh.ip_address IS NOT NULL
+            GROUP BY lh.ip_address
+            ORDER BY total_validations DESC
+            LIMIT 100
+        """
+        return execute_query(query)
+    
+    @staticmethod
+    def get_usage_patterns(license_id=None):
+        """Analyze usage patterns for predictive analytics"""
+        base_query = """
+            WITH hourly_usage AS (
+                SELECT 
+                    EXTRACT(HOUR FROM timestamp) as hour_of_day,
+                    EXTRACT(DOW FROM timestamp) as day_of_week,
+                    COUNT(*) as usage_count
+                FROM license_heartbeats
+                WHERE timestamp >= NOW() - INTERVAL '30 days'
+        """
+        
+        params = []
+        if license_id:
+            base_query += " AND license_id = %s"
+            params.append(license_id)
+        
+        base_query += """
+                GROUP BY hour_of_day, day_of_week
+            )
+            SELECT 
+                hour_of_day,
+                day_of_week,
+                usage_count,
+                AVG(usage_count) OVER (PARTITION BY hour_of_day) as avg_hourly_usage,
+                AVG(usage_count) OVER (PARTITION BY day_of_week) as avg_daily_usage
+            FROM hourly_usage
+            ORDER BY day_of_week, hour_of_day
+        """
+        
+        return execute_query(base_query, params)
+    
+    @staticmethod
+    def calculate_churn_risk():
+        """Calculate churn risk based on usage patterns"""
+        query = """
+            WITH recent_activity AS (
+                SELECT 
+                    l.id,
+                    l.customer_id,
+                    l.expires_at,
+                    MAX(lh.timestamp) as last_activity,
+                    COUNT(DISTINCT DATE(lh.timestamp)) as active_days_30d,
+                    COUNT(DISTINCT DATE(lh.timestamp)) FILTER (WHERE lh.timestamp >= NOW() - INTERVAL '7 days') as active_days_7d
+                FROM licenses l
+                LEFT JOIN license_heartbeats lh ON l.id = lh.license_id
+                    AND lh.timestamp >= NOW() - INTERVAL '30 days'
+                WHERE l.is_test = false
+                GROUP BY l.id, l.customer_id, l.expires_at
+            )
+            SELECT 
+                customer_id,
+                COUNT(*) as total_licenses,
+                AVG(EXTRACT(EPOCH FROM (NOW() - last_activity))/86400) as avg_days_since_activity,
+                AVG(active_days_30d) as avg_active_days_30d,
+                AVG(active_days_7d) as avg_active_days_7d,
+                MIN(expires_at) as next_expiry,
+                CASE 
+                    WHEN AVG(active_days_7d) = 0 AND AVG(active_days_30d) > 0 THEN 'high'
+                    WHEN AVG(active_days_30d) < 5 THEN 'medium'
+                    ELSE 'low'
+                END as churn_risk
+            FROM recent_activity
+            GROUP BY customer_id
+            HAVING COUNT(*) > 0
+            ORDER BY churn_risk DESC, avg_days_since_activity DESC
+        """
+        return execute_query(query)
+
+# API Routes
+@app.route('/health', methods=['GET'])
+def health_check():
+    """Health check endpoint"""
+    return jsonify({
+        'status': 'healthy',
+        'service': 'analytics-service',
+        'timestamp': datetime.utcnow().isoformat()
+    })
+
+@app.route('/api/v1/analytics/usage', methods=['GET'])
+@require_auth
+def get_usage_stats():
+    """Get usage statistics"""
+    customer_id = request.args.get('customer_id')
+    days = int(request.args.get('days', 30))
+    
+    stats = AnalyticsService.get_usage_statistics(customer_id, days)
+    
+    return jsonify({
+        'success': True,
+        'data': stats,
+        'period_days': days,
+        'customer_id': customer_id
+    })
+
+@app.route('/api/v1/analytics/performance', methods=['GET'])
+@require_auth
+def get_performance():
+    """Get performance metrics"""
+    days = int(request.args.get('days', 7))
+    metrics = AnalyticsService.get_performance_metrics(days)
+    
+    return jsonify({
+        'success': True,
+        'data': metrics,
+        'period_days': days
+    })
+
+@app.route('/api/v1/analytics/anomalies', methods=['GET'])
+@require_auth
+def get_anomalies():
+    """Get anomaly statistics"""
+    days = int(request.args.get('days', 30))
+    anomalies = AnalyticsService.get_anomaly_statistics(days)
+    
+    return jsonify({
+        'success': True,
+        'data': anomalies,
+        'period_days': days
+    })
+
+@app.route('/api/v1/analytics/distribution', methods=['GET'])
+@require_auth
+def get_distribution():
+    """Get license distribution"""
+    distribution = AnalyticsService.get_license_distribution()
+    
+    return jsonify({
+        'success': True,
+        'data': distribution
+    })
+
+@app.route('/api/v1/analytics/revenue', methods=['GET'])
+@require_auth
+def get_revenue():
+    """Get revenue impact analysis"""
+    days = int(request.args.get('days', 30))
+    revenue = AnalyticsService.get_revenue_impact(days)
+    
+    return jsonify({
+        'success': True,
+        'data': revenue,
+        'period_days': days
+    })
+
+@app.route('/api/v1/analytics/geographic', methods=['GET'])
+@require_auth
+def get_geographic():
+    """Get geographic distribution"""
+    geo_data = AnalyticsService.get_geographic_distribution()
+    
+    return jsonify({
+        'success': True,
+        'data': geo_data
+    })
+
+@app.route('/api/v1/analytics/patterns', methods=['GET'])
+@require_auth
+def get_patterns():
+    """Get usage patterns"""
+    license_id = request.args.get('license_id')
+    patterns = AnalyticsService.get_usage_patterns(license_id)
+    
+    return jsonify({
+        'success': True,
+        'data': patterns,
+        'license_id': license_id
+    })
+
+@app.route('/api/v1/analytics/churn-risk', methods=['GET'])
+@require_auth
+def get_churn_risk():
+    """Get churn risk analysis"""
+    churn_data = AnalyticsService.calculate_churn_risk()
+    
+    return jsonify({
+        'success': True,
+        'data': churn_data
+    })
+
+@app.route('/api/v1/analytics/summary/<customer_id>', methods=['GET'])
+@require_auth
+def get_customer_summary(customer_id):
+    """Get comprehensive analytics summary for a customer"""
+    usage = AnalyticsService.get_usage_statistics(customer_id, 30)
+    
+    # Calculate summary metrics
+    total_heartbeats = sum(day['total_heartbeats'] for day in usage)
+    active_days = len([day for day in usage if day['active_licenses'] > 0])
+    
+    return jsonify({
+        'success': True,
+        'customer_id': customer_id,
+        'summary': {
+            'total_heartbeats_30d': total_heartbeats,
+            'active_days_30d': active_days,
+            'average_daily_devices': np.mean([day['active_devices'] for day in usage]) if usage else 0,
+            'usage_trend': usage[:7] if len(usage) >= 7 else usage
+        }
+    })
+
+# Real-time analytics endpoint (for websocket in future)
+@app.route('/api/v1/analytics/realtime', methods=['GET'])
+@require_auth
+def get_realtime_stats():
+    """Get real-time statistics for dashboard"""
+    # Get stats from last 5 minutes
+    query = """
+        SELECT 
+            COUNT(DISTINCT license_id) as active_licenses,
+            COUNT(DISTINCT hardware_id) as active_devices,
+            COUNT(*) as validations_5min,
+            COUNT(*) / 5.0 as validations_per_minute
+        FROM license_heartbeats
+        WHERE timestamp >= NOW() - INTERVAL '5 minutes'
+    """
+    realtime = execute_query(query, fetchall=False)
+    
+    # Get current anomalies
+    anomaly_query = """
+        SELECT COUNT(*) as unresolved_anomalies
+        FROM anomaly_detections
+        WHERE resolved = false
+    """
+    anomalies = execute_query(anomaly_query, fetchall=False)
+    
+    return jsonify({
+        'success': True,
+        'timestamp': datetime.utcnow().isoformat(),
+        'data': {
+            'active_licenses': realtime['active_licenses'] or 0,
+            'active_devices': realtime['active_devices'] or 0,
+            'validations_5min': realtime['validations_5min'] or 0,
+            'validations_per_minute': float(realtime['validations_per_minute'] or 0),
+            'unresolved_anomalies': anomalies['unresolved_anomalies'] or 0
+        }
+    })
+
+if __name__ == '__main__':
+    logger.info(f"Starting Analytics Service on port {SERVICE_PORT}")
+    app.run(host='0.0.0.0', port=SERVICE_PORT, debug=os.environ.get('FLASK_ENV') == 'development')

v2_lizenzserver/services/analytics/requirements.txt

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+Flask==3.0.0
+flask-cors==4.0.0
+psycopg2-binary==2.9.9
+redis==5.0.1
+PyJWT==2.8.0
+numpy==1.26.2
+requests==2.31.0
+python-dotenv==1.0.0
+gunicorn==21.2.0
+prometheus-flask-exporter==0.23.0