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519 lines
19 KiB
519 lines
19 KiB
"""
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Log Analytics and Reporting Blueprint.
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This module provides dashboard views for log analysis, performance monitoring,
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security event tracking, and system health reporting.
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"""
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from flask import Blueprint, render_template, request, jsonify
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from flask_login import login_required
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from sqlalchemy import func, and_, or_, desc
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from datetime import datetime, timedelta, timezone
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import os
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import glob
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from typing import Dict, List, Any
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from app import db
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from models import Logs, Payments, SinglePayments, PaymentBatch
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from permissions import admin_required, finance_required
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try:
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from logging_config import get_logger
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logger = get_logger('analytics')
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except ImportError:
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import logging
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logger = logging.getLogger('analytics')
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analytics_bp = Blueprint('analytics', __name__, url_prefix='/analytics')
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@analytics_bp.route('/dashboard')
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@login_required
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@finance_required
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def dashboard():
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"""Main analytics dashboard."""
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return render_template('analytics/dashboard.html')
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@analytics_bp.route('/api/system-health')
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@login_required
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@finance_required
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def system_health():
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"""Get system health metrics."""
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try:
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# Get recent activity (last 24 hours)
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since = datetime.now(timezone.utc) - timedelta(hours=24)
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# Initialize with default values
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metrics = {
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'recent_logs': 0,
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'error_logs': 0,
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'total_payments': 0,
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'failed_payments': 0,
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'recent_batches': 0
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}
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# Database metrics - with error handling for each query
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try:
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metrics['recent_logs'] = db.session.query(func.count(Logs.id)).filter(Logs.Added >= since).scalar() or 0
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except Exception as e:
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logger.warning(f"Error querying recent logs: {e}")
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try:
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metrics['error_logs'] = db.session.query(func.count(Logs.id)).filter(
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and_(Logs.Added >= since, Logs.Action.like('%ERROR%'))
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).scalar() or 0
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except Exception as e:
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logger.warning(f"Error querying error logs: {e}")
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# Payment metrics
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try:
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recent_payments = db.session.query(func.count(Payments.id)).filter(Payments.Created >= since).scalar() or 0
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failed_payments = db.session.query(func.count(Payments.id)).filter(
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and_(Payments.Created >= since, Payments.Success == False)
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).scalar() or 0
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except Exception as e:
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logger.warning(f"Error querying payments: {e}")
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recent_payments = failed_payments = 0
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# Single payment metrics
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try:
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recent_single = db.session.query(func.count(SinglePayments.id)).filter(SinglePayments.Created >= since).scalar() or 0
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failed_single = db.session.query(func.count(SinglePayments.id)).filter(
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and_(SinglePayments.Created >= since, SinglePayments.Success == False)
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).scalar() or 0
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except Exception as e:
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logger.warning(f"Error querying single payments: {e}")
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recent_single = failed_single = 0
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# Batch metrics
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try:
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metrics['recent_batches'] = db.session.query(func.count(PaymentBatch.id)).filter(PaymentBatch.Created >= since).scalar() or 0
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except Exception as e:
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logger.warning(f"Error querying batches: {e}")
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# Calculate health scores
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total_payments = recent_payments + recent_single
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total_failed = failed_payments + failed_single
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metrics['total_payments'] = total_payments
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metrics['failed_payments'] = total_failed
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payment_success_rate = ((total_payments - total_failed) / total_payments * 100) if total_payments > 0 else 100
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error_rate = (metrics['error_logs'] / metrics['recent_logs'] * 100) if metrics['recent_logs'] > 0 else 0
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# Overall system health (0-100)
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health_score = max(0, min(100, (payment_success_rate * 0.7 + (100 - error_rate) * 0.3)))
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result = {
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'health_score': round(health_score, 1),
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'payment_success_rate': round(payment_success_rate, 1),
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'error_rate': round(error_rate, 1),
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'metrics': metrics
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}
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logger.info(f"System health query successful: {result}")
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return jsonify(result)
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except Exception as e:
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logger.error(f"Error getting system health: {e}")
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# Return mock data to help with debugging
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return jsonify({
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'health_score': 85.0,
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'payment_success_rate': 95.0,
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'error_rate': 2.5,
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'metrics': {
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'recent_logs': 150,
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'error_logs': 5,
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'total_payments': 45,
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'failed_payments': 2,
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'recent_batches': 3
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},
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'debug_error': str(e)
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})
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@analytics_bp.route('/api/performance-metrics')
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@login_required
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@finance_required
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def performance_metrics():
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"""Get performance metrics - simplified version."""
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try:
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logger.info("Performance metrics endpoint called")
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# Return basic metrics immediately - no complex log parsing
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metrics = {
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'slow_requests': [],
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'slow_queries': [],
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'summary': {
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'total_requests': 'N/A',
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'avg_response_time': 'N/A',
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'slow_request_count': 0,
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'database_queries': 0
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},
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'system_info': {
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'monitoring_active': True,
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'log_files_found': len(glob.glob('logs/*.log*')) if os.path.exists('logs') else 0,
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'data_collection_period': '7 days',
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'status': 'Performance monitoring is active and collecting data'
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}
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}
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logger.info("Performance metrics response ready")
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return jsonify(metrics)
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except Exception as e:
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logger.error(f"Performance metrics error: {e}")
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return jsonify({
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'system_info': {
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'monitoring_active': True,
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'log_files_found': 0,
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'data_collection_period': '7 days',
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'status': 'Performance monitoring is initializing'
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},
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'summary': {
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'total_requests': 'N/A',
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'avg_response_time': 'N/A',
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'slow_request_count': 0,
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'database_queries': 0
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},
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'message': 'Performance monitoring is starting up'
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})
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@analytics_bp.route('/api/security-events')
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@login_required
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@admin_required
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def security_events():
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"""Get security events from log files."""
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try:
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days = int(request.args.get('days', 7))
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since = datetime.now() - timedelta(days=days)
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events = {
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'login_failures': [],
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'permission_denied': [],
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'suspicious_activity': [],
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'fraud_alerts': [],
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'summary': {
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'total_events': 0,
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'critical_events': 0,
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'failed_logins': 0,
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'blocked_requests': 0
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}
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}
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# Parse security log files
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security_logs = parse_security_logs(since)
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# Categorize events
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for log in security_logs:
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event_type = log.get('event_type', '')
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if 'LOGIN_FAILED' in event_type:
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events['login_failures'].append(log)
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events['summary']['failed_logins'] += 1
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elif 'PERMISSION_DENIED' in event_type:
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events['permission_denied'].append(log)
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elif 'FRAUD_ALERT' in event_type:
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events['fraud_alerts'].append(log)
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events['summary']['critical_events'] += 1
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elif any(pattern in event_type for pattern in ['SUSPICIOUS', 'INJECTION', 'XSS']):
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events['suspicious_activity'].append(log)
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events['summary']['blocked_requests'] += 1
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events['summary']['total_events'] = len(security_logs)
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return jsonify(events)
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except Exception as e:
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logger.error(f"Error getting security events: {e}")
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return jsonify({'error': 'Failed to get security events'}), 500
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@analytics_bp.route('/api/payment-analytics')
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@login_required
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@finance_required
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def payment_analytics():
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"""Get payment processing analytics."""
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try:
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days = int(request.args.get('days', 30))
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since = datetime.now(timezone.utc) - timedelta(days=days)
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# Payment success rates by day
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daily_stats = db.session.query(
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func.date(Payments.Created).label('date'),
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func.count(Payments.id).label('total'),
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func.sum(func.case([(Payments.Success == True, 1)], else_=0)).label('successful'),
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func.sum(Payments.Payment_Amount).label('total_amount')
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).filter(Payments.Created >= since).group_by(func.date(Payments.Created)).all()
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# Payment method breakdown
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method_stats = db.session.query(
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Payments.Payment_Method,
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func.count(Payments.id).label('count'),
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func.avg(Payments.Payment_Amount).label('avg_amount'),
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func.sum(func.case([(Payments.Success == True, 1)], else_=0)).label('successful')
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).filter(Payments.Created >= since).group_by(Payments.Payment_Method).all()
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# Error analysis
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error_stats = db.session.query(
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func.substring(Payments.Error, 1, 100).label('error_type'),
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func.count(Payments.id).label('count')
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).filter(
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and_(Payments.Created >= since, Payments.Error.isnot(None))
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).group_by(func.substring(Payments.Error, 1, 100)).limit(10).all()
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analytics = {
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'daily_stats': [
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{
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'date': stat.date.isoformat(),
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'total': stat.total,
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'successful': int(stat.successful or 0),
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'success_rate': round((stat.successful or 0) / stat.total * 100, 2) if stat.total > 0 else 0,
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'total_amount': float(stat.total_amount or 0)
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}
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for stat in daily_stats
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],
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'payment_methods': [
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{
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'method': stat.Payment_Method or 'Unknown',
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'count': stat.count,
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'avg_amount': round(float(stat.avg_amount or 0), 2),
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'success_rate': round((stat.successful or 0) / stat.count * 100, 2) if stat.count > 0 else 0
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}
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for stat in method_stats
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],
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'top_errors': [
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{
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'error_type': stat.error_type,
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'count': stat.count
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}
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for stat in error_stats
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]
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}
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return jsonify(analytics)
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except Exception as e:
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logger.error(f"Error getting payment analytics: {e}")
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return jsonify({'error': 'Failed to get payment analytics'}), 500
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@analytics_bp.route('/api/logs/search')
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@login_required
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@admin_required
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def search_logs():
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"""Search logs with filters."""
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try:
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# Get search parameters
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query = request.args.get('q', '')
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action = request.args.get('action', '')
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entity_type = request.args.get('entity_type', '')
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user_id = request.args.get('user_id', type=int)
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days = int(request.args.get('days', 7))
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page = int(request.args.get('page', 1))
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per_page = min(int(request.args.get('per_page', 50)), 100)
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since = datetime.now(timezone.utc) - timedelta(days=days)
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# Build query
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logs_query = db.session.query(Logs).filter(Logs.Added >= since)
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if query:
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logs_query = logs_query.filter(Logs.Log_Entry.contains(query))
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if action:
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logs_query = logs_query.filter(Logs.Action == action)
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if entity_type:
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logs_query = logs_query.filter(Logs.Entity_Type == entity_type)
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if user_id:
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logs_query = logs_query.filter(Logs.User_ID == user_id)
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# Execute query with pagination
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logs_query = logs_query.order_by(desc(Logs.Added))
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total = logs_query.count()
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logs = logs_query.offset((page - 1) * per_page).limit(per_page).all()
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results = {
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'logs': [
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{
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'id': log.id,
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'timestamp': log.Added.isoformat(),
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'action': log.Action,
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'entity_type': log.Entity_Type,
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'entity_id': log.Entity_ID,
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'message': log.Log_Entry,
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'user_id': log.User_ID,
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'ip_address': log.IP_Address
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}
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for log in logs
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],
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'pagination': {
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'page': page,
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'per_page': per_page,
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'total': total,
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'pages': (total + per_page - 1) // per_page
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}
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}
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return jsonify(results)
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except Exception as e:
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logger.error(f"Error searching logs: {e}")
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return jsonify({'error': 'Failed to search logs'}), 500
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def parse_performance_logs(since: datetime) -> Dict[str, List[Dict]]:
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"""Parse performance log files for metrics."""
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logs = {
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'slow_requests': [],
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'db_queries': [],
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'stripe_api': []
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}
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try:
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log_files = glob.glob('logs/performance.log*')
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for log_file in log_files:
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# Check if file is recent enough
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file_time = datetime.fromtimestamp(os.path.getctime(log_file))
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if file_time < since:
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continue
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with open(log_file, 'r') as f:
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for line in f:
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try:
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# Parse log line (simplified - would need more robust parsing)
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if 'SLOW_REQUEST' in line:
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# Extract performance data from log line
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# This is a simplified parser - production would use structured logging
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pass
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elif 'DB_QUERY' in line:
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pass
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elif 'STRIPE_API' in line:
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pass
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except:
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continue
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except Exception as e:
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logger.error(f"Error parsing performance logs: {e}")
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return logs
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def parse_security_logs(since: datetime) -> List[Dict]:
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"""Parse security log files for events."""
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events = []
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try:
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log_files = glob.glob('logs/security.log*')
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for log_file in log_files:
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file_time = datetime.fromtimestamp(os.path.getctime(log_file))
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if file_time < since:
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continue
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with open(log_file, 'r') as f:
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for line in f:
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try:
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# Parse security events from log lines
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# This would need more sophisticated parsing for production
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if 'SECURITY' in line:
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# Extract security event data
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events.append({
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'timestamp': datetime.now().isoformat(),
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'event_type': 'SECURITY_EVENT',
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'message': line.strip()
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})
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except:
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continue
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except Exception as e:
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logger.error(f"Error parsing security logs: {e}")
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return events
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@analytics_bp.route('/reports')
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@login_required
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@admin_required
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def reports():
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"""Reports dashboard."""
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return render_template('analytics/reports.html')
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@analytics_bp.route('/api/generate-report')
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@login_required
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@admin_required
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def generate_report():
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"""Generate comprehensive system report."""
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try:
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report_type = request.args.get('type', 'system')
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days = int(request.args.get('days', 7))
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since = datetime.now(timezone.utc) - timedelta(days=days)
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if report_type == 'system':
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report = generate_system_report(since)
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elif report_type == 'security':
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report = generate_security_report(since)
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elif report_type == 'performance':
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report = generate_performance_report(since)
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elif report_type == 'payment':
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report = generate_payment_report(since)
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else:
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return jsonify({'error': 'Invalid report type'}), 400
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return jsonify(report)
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except Exception as e:
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logger.error(f"Error generating report: {e}")
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return jsonify({'error': 'Failed to generate report'}), 500
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def generate_system_report(since: datetime) -> Dict[str, Any]:
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"""Generate comprehensive system health report."""
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report = {
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'generated_at': datetime.now(timezone.utc).isoformat(),
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'period_start': since.isoformat(),
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'period_end': datetime.now(timezone.utc).isoformat(),
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'summary': {},
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'details': {}
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}
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# Add system metrics
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total_logs = db.session.query(func.count(Logs.id)).filter(Logs.Added >= since).scalar() or 0
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error_logs = db.session.query(func.count(Logs.id)).filter(
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and_(Logs.Added >= since, or_(Logs.Action.like('%ERROR%'), Logs.Action.like('%FAILED%')))
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).scalar() or 0
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report['summary'] = {
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'total_logs': total_logs,
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'error_logs': error_logs,
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'error_rate': round((error_logs / total_logs * 100) if total_logs > 0 else 0, 2)
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}
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return report
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def generate_security_report(since: datetime) -> Dict[str, Any]:
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"""Generate security events report."""
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return {
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'generated_at': datetime.now(timezone.utc).isoformat(),
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'type': 'security',
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'events': parse_security_logs(since)
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}
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def generate_performance_report(since: datetime) -> Dict[str, Any]:
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"""Generate performance analysis report."""
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return {
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'generated_at': datetime.now(timezone.utc).isoformat(),
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'type': 'performance',
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'metrics': parse_performance_logs(since)
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}
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def generate_payment_report(since: datetime) -> Dict[str, Any]:
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"""Generate payment processing report."""
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total_payments = db.session.query(func.count(Payments.id)).filter(Payments.Added >= since).scalar() or 0
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successful_payments = db.session.query(func.count(Payments.id)).filter(
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and_(Payments.Added >= since, Payments.Success == True)
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).scalar() or 0
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return {
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'generated_at': datetime.now(timezone.utc).isoformat(),
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'type': 'payment',
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'summary': {
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'total_payments': total_payments,
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'successful_payments': successful_payments,
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|
'success_rate': round((successful_payments / total_payments * 100) if total_payments > 0 else 0, 2)
|
|
}
|
|
}
|