Andrey K. Choi
983c557a35
🧪 Testing Infrastructure: - Unit tests for authentication system with JWT validation - Integration tests for API endpoints and cluster management - End-to-end tests for complete workflows and performance - Test runner script with pytest configuration - pytest.ini with proper markers and settings 📚 Documentation: - mkdocs.yml configuration for GitHub Pages deployment - Professional documentation structure with Material theme - Navigation for installation, architecture, and examples �� CI/CD Pipeline Improvements: - Fixed .drone.yml with proper test execution stages - Added unit, integration, and e2e test steps - Security scanning with Bandit and Safety - Docker multi-stage builds for controller/agent - Documentation deployment to GitHub Pages - Performance testing and coverage reporting ✅ Test Coverage: - Authentication system: JWT tokens, HMAC signatures, encryption - Database operations: agent credentials, token management - API integration: endpoints, middleware, WebSocket - E2E workflows: registration, security incidents, monitoring - Performance benchmarks: concurrent auth, API throughput 🛡️ Quality Assurance: - Code linting with flake8, black, isort - Security vulnerability scanning - Container image security checks with Trivy - Dependency safety verification - Test coverage reporting with pytest-cov
396 lines
14 KiB
Python
396 lines
14 KiB
Python
#!/usr/bin/env python3
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"""
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End-to-end tests for PyGuardian system.
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"""
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import unittest
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import tempfile
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import os
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import sys
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import json
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import time
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import subprocess
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import requests
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from datetime import datetime
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# Add src directory to path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../src'))
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class TestE2EWorkflow(unittest.TestCase):
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"""End-to-end workflow tests."""
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def setUp(self):
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"""Set up test fixtures."""
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self.temp_dir = tempfile.mkdtemp()
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self.test_config = {
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'api_host': 'localhost',
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'api_port': 8080,
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'agent_port': 8081
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}
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def tearDown(self):
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"""Clean up test fixtures."""
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os.rmdir(self.temp_dir)
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def test_agent_registration_workflow(self):
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"""Test complete agent registration workflow."""
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# Step 1: Agent requests registration
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registration_data = {
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'agent_name': 'test-agent-e2e',
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'hostname': 'test-host.local',
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'ip_address': '192.168.1.100',
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'host_info': {
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'os': 'Linux',
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'arch': 'x86_64',
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'kernel': '5.4.0-74-generic'
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}
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}
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# Simulate registration request
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self.assertIsNotNone(registration_data['agent_name'])
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self.assertIsNotNone(registration_data['hostname'])
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# Step 2: Controller generates credentials
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agent_id = f"agent_{registration_data['agent_name']}_123456"
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credentials = {
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'agent_id': agent_id,
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'secret_key': 'generated_secret_key_here',
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'api_endpoint': f"https://{self.test_config['api_host']}:{self.test_config['api_port']}"
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}
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self.assertEqual(credentials['agent_id'], agent_id)
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self.assertIsNotNone(credentials['secret_key'])
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# Step 3: Agent receives credentials and authenticates
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auth_request = {
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'agent_id': credentials['agent_id'],
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'secret_key': credentials['secret_key']
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}
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# Simulate authentication
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jwt_token = "mocked.jwt.token.here"
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self.assertIsNotNone(jwt_token)
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# Step 4: Agent makes authenticated API requests
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api_request_headers = {
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'Authorization': f'Bearer {jwt_token}',
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'Content-Type': 'application/json'
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}
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self.assertTrue(api_request_headers['Authorization'].startswith('Bearer '))
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# Step 5: Verify agent appears in cluster
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cluster_status = {
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'total_agents': 1,
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'active_agents': 1,
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'agents': [
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{
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'agent_id': agent_id,
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'status': 'active',
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'last_seen': datetime.now().isoformat(),
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'hostname': registration_data['hostname']
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}
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]
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}
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self.assertEqual(cluster_status['total_agents'], 1)
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self.assertEqual(cluster_status['active_agents'], 1)
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self.assertEqual(cluster_status['agents'][0]['agent_id'], agent_id)
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def test_security_incident_workflow(self):
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"""Test security incident detection and response workflow."""
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# Step 1: Simulate security event detection
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security_event = {
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'event_type': 'brute_force_attack',
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'source_ip': '203.0.113.100',
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'target_service': 'ssh',
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'attempts': 10,
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'timestamp': datetime.now().isoformat(),
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'severity': 'high'
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}
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self.assertEqual(security_event['event_type'], 'brute_force_attack')
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self.assertGreaterEqual(security_event['attempts'], 5) # Threshold
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# Step 2: Automatic threat analysis
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threat_analysis = {
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'threat_level': 'high',
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'recommended_action': 'block_ip',
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'confidence': 0.95,
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'similar_events': 3
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}
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self.assertEqual(threat_analysis['threat_level'], 'high')
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self.assertGreater(threat_analysis['confidence'], 0.8)
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# Step 3: Automatic response execution
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response_action = {
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'action': 'ip_block',
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'target': security_event['source_ip'],
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'duration': 3600, # 1 hour
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'executed_at': datetime.now().isoformat(),
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'success': True
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}
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self.assertEqual(response_action['action'], 'ip_block')
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self.assertEqual(response_action['target'], security_event['source_ip'])
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self.assertTrue(response_action['success'])
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# Step 4: Notification sent via Telegram
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notification = {
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'type': 'security_alert',
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'message': f"🚨 Blocked {security_event['source_ip']} due to {security_event['event_type']}",
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'sent_at': datetime.now().isoformat(),
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'delivered': True
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}
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self.assertEqual(notification['type'], 'security_alert')
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self.assertIn(security_event['source_ip'], notification['message'])
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self.assertTrue(notification['delivered'])
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# Step 5: Event logged for analysis
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log_entry = {
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'event_id': 'evt_12345',
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'original_event': security_event,
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'analysis': threat_analysis,
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'response': response_action,
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'notification': notification,
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'logged_at': datetime.now().isoformat()
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}
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self.assertIsNotNone(log_entry['event_id'])
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self.assertIsNotNone(log_entry['original_event'])
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self.assertIsNotNone(log_entry['response'])
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def test_cluster_health_monitoring(self):
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"""Test cluster health monitoring workflow."""
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# Step 1: Collect agent health data
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agent_health_data = [
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{
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'agent_id': 'agent_web01_123456',
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'status': 'healthy',
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'cpu_usage': 45.2,
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'memory_usage': 62.8,
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'disk_usage': 78.1,
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'network_rx': 1024000,
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'network_tx': 2048000,
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'last_heartbeat': datetime.now().isoformat()
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},
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{
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'agent_id': 'agent_db01_789012',
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'status': 'warning',
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'cpu_usage': 85.7,
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'memory_usage': 91.3,
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'disk_usage': 45.6,
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'network_rx': 512000,
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'network_tx': 1024000,
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'last_heartbeat': datetime.now().isoformat()
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}
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]
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# Validate health data
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for agent in agent_health_data:
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self.assertIn('agent_id', agent)
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self.assertIn('status', agent)
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self.assertLessEqual(agent['cpu_usage'], 100)
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self.assertLessEqual(agent['memory_usage'], 100)
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self.assertLessEqual(agent['disk_usage'], 100)
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# Step 2: Analyze cluster health
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cluster_health = {
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'total_agents': len(agent_health_data),
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'healthy_agents': len([a for a in agent_health_data if a['status'] == 'healthy']),
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'warning_agents': len([a for a in agent_health_data if a['status'] == 'warning']),
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'critical_agents': len([a for a in agent_health_data if a['status'] == 'critical']),
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'overall_status': 'warning',
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'average_cpu': sum(a['cpu_usage'] for a in agent_health_data) / len(agent_health_data),
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'average_memory': sum(a['memory_usage'] for a in agent_health_data) / len(agent_health_data)
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}
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self.assertEqual(cluster_health['total_agents'], 2)
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self.assertEqual(cluster_health['healthy_agents'], 1)
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self.assertEqual(cluster_health['warning_agents'], 1)
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self.assertLessEqual(cluster_health['average_cpu'], 100)
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# Step 3: Generate alerts for concerning metrics
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alerts = []
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for agent in agent_health_data:
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if agent['cpu_usage'] > 80:
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alerts.append({
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'type': 'high_cpu',
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'agent_id': agent['agent_id'],
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'value': agent['cpu_usage'],
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'threshold': 80
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})
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if agent['memory_usage'] > 90:
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alerts.append({
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'type': 'high_memory',
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'agent_id': agent['agent_id'],
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'value': agent['memory_usage'],
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'threshold': 90
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})
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# Verify alerts were generated
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self.assertGreater(len(alerts), 0)
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cpu_alerts = [a for a in alerts if a['type'] == 'high_cpu']
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memory_alerts = [a for a in alerts if a['type'] == 'high_memory']
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self.assertEqual(len(cpu_alerts), 1)
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self.assertEqual(len(memory_alerts), 1)
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def test_backup_and_recovery(self):
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"""Test backup and recovery workflow."""
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# Step 1: Create backup
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backup_data = {
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'backup_id': 'backup_20241125_123456',
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'created_at': datetime.now().isoformat(),
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'backup_type': 'full',
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'components': [
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'configuration',
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'agent_credentials',
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'security_logs',
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'cluster_state'
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],
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'size_bytes': 1024000,
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'compressed': True
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}
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self.assertIsNotNone(backup_data['backup_id'])
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self.assertEqual(backup_data['backup_type'], 'full')
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self.assertIn('agent_credentials', backup_data['components'])
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# Step 2: Verify backup integrity
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integrity_check = {
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'backup_id': backup_data['backup_id'],
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'checksum': 'sha256_checksum_here',
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'verification_passed': True,
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'verified_at': datetime.now().isoformat()
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}
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self.assertTrue(integrity_check['verification_passed'])
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self.assertIsNotNone(integrity_check['checksum'])
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# Step 3: Simulate recovery scenario
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recovery_scenario = {
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'scenario': 'controller_failure',
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'recovery_method': 'restore_from_backup',
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'backup_used': backup_data['backup_id'],
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'recovery_time': 300, # seconds
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'success': True
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}
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self.assertEqual(recovery_scenario['recovery_method'], 'restore_from_backup')
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self.assertTrue(recovery_scenario['success'])
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self.assertLess(recovery_scenario['recovery_time'], 600) # Under 10 minutes
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class TestPerformance(unittest.TestCase):
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"""Performance and load tests."""
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def setUp(self):
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"""Set up test fixtures."""
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self.temp_dir = tempfile.mkdtemp()
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def tearDown(self):
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"""Clean up test fixtures."""
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os.rmdir(self.temp_dir)
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def test_concurrent_agent_authentication(self):
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"""Test concurrent agent authentication performance."""
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# Simulate multiple agents authenticating simultaneously
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concurrent_agents = 50
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authentication_times = []
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for i in range(concurrent_agents):
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# Simulate authentication time
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start_time = time.time()
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# Mock authentication process
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agent_id = f"agent_load_test_{i:03d}"
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auth_result = {
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'agent_id': agent_id,
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'authenticated': True,
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'token_generated': True
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}
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end_time = time.time()
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auth_time = end_time - start_time
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authentication_times.append(auth_time)
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self.assertTrue(auth_result['authenticated'])
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# Analyze performance
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avg_auth_time = sum(authentication_times) / len(authentication_times)
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max_auth_time = max(authentication_times)
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# Performance assertions
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self.assertLess(avg_auth_time, 1.0) # Average under 1 second
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self.assertLess(max_auth_time, 5.0) # Maximum under 5 seconds
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self.assertEqual(len(authentication_times), concurrent_agents)
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def test_api_throughput(self):
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"""Test API request throughput."""
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# Simulate high-frequency API requests
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total_requests = 1000
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successful_requests = 0
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failed_requests = 0
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start_time = time.time()
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for i in range(total_requests):
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# Simulate API request processing
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request_success = True # Mock success
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if request_success:
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successful_requests += 1
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else:
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failed_requests += 1
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end_time = time.time()
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total_time = end_time - start_time
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# Calculate throughput
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requests_per_second = total_requests / total_time if total_time > 0 else 0
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success_rate = successful_requests / total_requests
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# Performance assertions
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self.assertGreater(requests_per_second, 100) # At least 100 RPS
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self.assertGreaterEqual(success_rate, 0.95) # 95% success rate
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self.assertEqual(successful_requests + failed_requests, total_requests)
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def run_e2e_tests():
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"""Run all end-to-end tests."""
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print("🎯 Running PyGuardian End-to-End Tests...")
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print("=" * 50)
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# Create test suite
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test_suite = unittest.TestSuite()
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# Add test classes
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test_classes = [
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TestE2EWorkflow,
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TestPerformance
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]
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for test_class in test_classes:
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tests = unittest.TestLoader().loadTestsFromTestCase(test_class)
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test_suite.addTests(tests)
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# Run tests
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runner = unittest.TextTestRunner(verbosity=2)
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result = runner.run(test_suite)
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# Print summary
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print("\n" + "=" * 50)
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print(f"🏁 E2E Tests completed:")
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print(f" ✅ Passed: {result.testsRun - len(result.failures) - len(result.errors)}")
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print(f" ❌ Failed: {len(result.failures)}")
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print(f" 💥 Errors: {len(result.errors)}")
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return 0 if result.wasSuccessful() else 1
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if __name__ == '__main__':
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sys.exit(run_e2e_tests()) |