"""
DDoS Protector Agent

DDoS protection and mitigation using traffic analysis, rate limiting,
and attack pattern detection to protect against distributed denial of service attacks.
"""

from typing import Any, Dict, List
from agents.base import BaseAgent


class DDoSProtectorAgent(BaseAgent):
    """
    DDoS protection and mitigation agent.

    Protects against:
    - Volumetric attacks (UDP flood, ICMP flood)
    - Protocol attacks (SYN flood, ACK flood)
    - Application layer attacks (HTTP flood, Slowloris)
    - DNS amplification attacks
    - NTP amplification attacks
    """

    def __init__(self):
        super().__init__(
            name='ddos-protector',
            description='DDoS protection and mitigation',
            category='security',
            version='1.0.0',
            tags=['ddos', 'protection', 'mitigation', 'network', 'availability', 'flooding']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Protect against and mitigate DDoS attacks.

        Args:
            params: {
                'action': 'monitor|detect|mitigate|report',
                'protected_assets': {
                    'ip_addresses': List[str],
                    'domains': List[str],
                    'services': List[Dict]
                },
                'protection_mode': 'learning|active|aggressive',
                'detection_thresholds': {
                    'pps_threshold': int,  # Packets per second
                    'bps_threshold': int,  # Bits per second
                    'connections_per_sec': int,
                    'http_requests_per_sec': int
                },
                'mitigation_strategies': [
                    'rate-limiting',
                    'traffic-shaping',
                    'blackholing',
                    'geo-blocking',
                    'challenge-response',
                    'cdn-routing'
                ],
                'options': {
                    'auto_mitigation': bool,
                    'challenge_suspected_bots': bool,
                    'enable_geo_blocking': bool,
                    'whitelist_trusted_ips': List[str],
                    'blacklist_known_attackers': List[str]
                }
            }

        Returns:
            {
                'status': 'success|failed',
                'protection_id': str,
                'attacks_detected': List[Dict],
                'mitigation_actions': List[Dict],
                'traffic_statistics': Dict
            }
        """
        action = params.get('action', 'monitor')
        protected_assets = params.get('protected_assets', {})
        protection_mode = params.get('protection_mode', 'active')
        detection_thresholds = params.get('detection_thresholds', {})
        mitigation_strategies = params.get('mitigation_strategies', ['rate-limiting'])
        options = params.get('options', {})

        self.logger.info(
            f"DDoS protection - action: {action}, mode: {protection_mode}"
        )

        # Mock DDoS detection and mitigation results
        attacks_detected = [
            {
                'id': 'DDOS-001',
                'severity': 'critical',
                'attack_type': 'SYN Flood',
                'category': 'Protocol Attack',
                'status': 'mitigated',
                'start_time': '2025-11-16T10:15:00Z',
                'end_time': '2025-11-16T10:45:00Z',
                'duration_minutes': 30,
                'target': {
                    'ip': '203.0.113.10',
                    'port': 443,
                    'service': 'HTTPS'
                },
                'attack_sources': {
                    'unique_ips': 15234,
                    'countries': ['CN', 'RU', 'BR', 'IN', 'VN'],
                    'top_source_asns': ['AS12345', 'AS67890', 'AS11111']
                },
                'traffic_stats': {
                    'peak_pps': 8500000,
                    'peak_bps': 45000000000,
                    'total_packets': 153000000,
                    'total_bytes_gb': 675.2,
                    'syn_packets': 153000000,
                    'incomplete_connections': 12500000
                },
                'baseline_comparison': {
                    'normal_pps': 125000,
                    'attack_multiplier': 68,
                    'normal_connections_per_sec': 500,
                    'attack_connections_per_sec': 850000
                },
                'mitigation_applied': [
                    'SYN cookie protection',
                    'Rate limiting per source IP',
                    'Blackholing of top attackers',
                    'Traffic shaping'
                ],
                'impact': {
                    'service_degradation': '15% during first 5 minutes',
                    'legitimate_traffic_affected': '2%',
                    'total_downtime_seconds': 0
                }
            },
            {
                'id': 'DDOS-002',
                'severity': 'critical',
                'attack_type': 'HTTP Flood',
                'category': 'Application Layer Attack',
                'status': 'mitigating',
                'start_time': '2025-11-16T11:00:00Z',
                'end_time': 'ongoing',
                'duration_minutes': 120,
                'target': {
                    'domain': 'example.com',
                    'endpoints': ['/api/search', '/login', '/checkout'],
                    'service': 'Web Application'
                },
                'attack_sources': {
                    'unique_ips': 45678,
                    'bot_traffic_percent': 98.5,
                    'residential_proxies': 23456,
                    'datacenter_ips': 22222
                },
                'traffic_stats': {
                    'peak_requests_per_sec': 250000,
                    'total_requests': 1800000000,
                    'malicious_requests_percent': 99.2
                },
                'baseline_comparison': {
                    'normal_requests_per_sec': 2500,
                    'attack_multiplier': 100,
                    'normal_bandwidth_mbps': 150,
                    'attack_bandwidth_mbps': 8500
                },
                'attack_patterns': [
                    'Randomized User-Agent headers',
                    'Distributed source IPs',
                    'Valid HTTP requests',
                    'Targeting resource-intensive endpoints',
                    'Session exhaustion attempts'
                ],
                'mitigation_applied': [
                    'JavaScript challenge',
                    'CAPTCHA for suspicious traffic',
                    'Rate limiting per IP and session',
                    'CDN caching aggressive',
                    'Geo-blocking high-risk countries',
                    'Bot detection and blocking'
                ],
                'impact': {
                    'service_degradation': '35% for legitimate users',
                    'response_time_increase': '450%',
                    'failed_requests_percent': 12
                }
            },
            {
                'id': 'DDOS-003',
                'severity': 'high',
                'attack_type': 'UDP Amplification',
                'category': 'Volumetric Attack',
                'amplification_protocol': 'DNS',
                'status': 'mitigated',
                'start_time': '2025-11-16T09:30:00Z',
                'end_time': '2025-11-16T10:00:00Z',
                'duration_minutes': 30,
                'target': {
                    'ip': '203.0.113.10',
                    'bandwidth_saturated': True
                },
                'attack_sources': {
                    'amplification_servers': 8934,
                    'actual_attacker_ips': 3,
                    'amplification_factor': 54
                },
                'traffic_stats': {
                    'peak_bps': 125000000000,  # 125 Gbps
                    'total_bytes_tb': 5.6,
                    'dns_response_packets': 234000000
                },
                'mitigation_applied': [
                    'Upstream filtering at ISP',
                    'Blackhole routing',
                    'DDoS scrubbing center redirect',
                    'Rate limiting DNS responses'
                ],
                'impact': {
                    'bandwidth_exhausted': 'Yes',
                    'total_downtime_minutes': 8,
                    'service_restored_via': 'Scrubbing center'
                }
            },
            {
                'id': 'DDOS-004',
                'severity': 'medium',
                'attack_type': 'Slowloris',
                'category': 'Application Layer Attack',
                'status': 'mitigated',
                'start_time': '2025-11-16T08:00:00Z',
                'end_time': '2025-11-16T08:30:00Z',
                'duration_minutes': 30,
                'target': {
                    'ip': '203.0.113.10',
                    'port': 80,
                    'service': 'HTTP'
                },
                'attack_sources': {
                    'unique_ips': 234,
                    'slow_connections': 15000
                },
                'attack_method': 'Partial HTTP requests holding connections open',
                'traffic_stats': {
                    'concurrent_connections': 15000,
                    'normal_concurrent_connections': 500,
                    'connection_exhaustion': True
                },
                'mitigation_applied': [
                    'Connection timeout reduction',
                    'Maximum connections per IP',
                    'Request completion timeouts',
                    'Blacklisting slow clients'
                ],
                'impact': {
                    'service_degradation': 'Complete for 5 minutes',
                    'total_downtime_seconds': 300
                }
            }
        ]

        mitigation_actions = [
            {
                'timestamp': '2025-11-16T10:16:00Z',
                'attack_id': 'DDOS-001',
                'action': 'enabled_syn_cookies',
                'result': 'success',
                'impact': 'Reduced attack effectiveness by 75%'
            },
            {
                'timestamp': '2025-11-16T10:17:00Z',
                'attack_id': 'DDOS-001',
                'action': 'rate_limit_per_ip',
                'parameters': {'max_connections_per_sec': 10},
                'result': 'success',
                'ips_affected': 15234
            },
            {
                'timestamp': '2025-11-16T10:20:00Z',
                'attack_id': 'DDOS-001',
                'action': 'blackhole_top_attackers',
                'ips_blackholed': 1523,
                'result': 'success'
            },
            {
                'timestamp': '2025-11-16T11:05:00Z',
                'attack_id': 'DDOS-002',
                'action': 'enable_javascript_challenge',
                'result': 'success',
                'bot_traffic_blocked': '95%'
            },
            {
                'timestamp': '2025-11-16T11:10:00Z',
                'attack_id': 'DDOS-002',
                'action': 'geo_block',
                'countries_blocked': ['CN', 'RU'],
                'traffic_reduced': '60%',
                'result': 'success'
            },
            {
                'timestamp': '2025-11-16T09:32:00Z',
                'attack_id': 'DDOS-003',
                'action': 'redirect_to_scrubbing_center',
                'scrubbing_center': 'DDoS-Scrub-DC1',
                'result': 'success',
                'clean_traffic_returned': True
            }
        ]

        traffic_statistics = {
            'current_traffic': {
                'pps': 85000,
                'bps': 450000000,
                'requests_per_sec': 1200,
                'connections_per_sec': 450,
                'bandwidth_utilization_percent': 15.2
            },
            'baseline_traffic': {
                'pps': 125000,
                'bps': 850000000,
                'requests_per_sec': 2500,
                'connections_per_sec': 500
            },
            'attack_traffic_blocked': {
                'packets_dropped': 156000000,
                'bytes_dropped_gb': 678.5,
                'requests_blocked': 1780000000,
                'malicious_ips_blocked': 17191
            },
            'protection_effectiveness': {
                'attack_mitigation_rate': 99.2,
                'false_positive_rate': 0.3,
                'legitimate_traffic_passed': 99.7
            }
        }

        severity_counts = {
            'critical': sum(1 for a in attacks_detected if a['severity'] == 'critical'),
            'high': sum(1 for a in attacks_detected if a['severity'] == 'high'),
            'medium': sum(1 for a in attacks_detected if a['severity'] == 'medium'),
            'low': sum(1 for a in attacks_detected if a['severity'] == 'low')
        }

        return {
            'status': 'success',
            'protection_id': f'ddos-protection-{action}-20251116-001',
            'action': action,
            'protection_mode': protection_mode,
            'timestamp': '2025-11-16T00:00:00Z',
            'attacks_detected': attacks_detected,
            'total_attacks': len(attacks_detected),
            'severity_counts': severity_counts,
            'active_attacks': sum(1 for a in attacks_detected if a['status'] in ['ongoing', 'mitigating']),
            'mitigated_attacks': sum(1 for a in attacks_detected if a['status'] == 'mitigated'),
            'mitigation_actions': mitigation_actions,
            'total_mitigation_actions': len(mitigation_actions),
            'traffic_statistics': traffic_statistics,
            'protected_assets': {
                'ip_addresses': len(protected_assets.get('ip_addresses', [])) or 5,
                'domains': len(protected_assets.get('domains', [])) or 3,
                'services': len(protected_assets.get('services', [])) or 8
            },
            'attack_summary': {
                'syn_flood': 1,
                'http_flood': 1,
                'udp_amplification': 1,
                'slowloris': 1
            },
            'global_statistics': {
                'total_packets_analyzed': 2500000000,
                'malicious_packets_blocked': 156000000,
                'clean_packets_delivered': 2344000000,
                'total_downtime_minutes': 8,
                'uptime_percentage': 99.44
            },
            'recommendations': [
                'ONGOING: Continue monitoring HTTP flood attack',
                'Increase CDN caching for attacked endpoints',
                'Consider additional geo-blocking for high-risk regions',
                'Review and optimize rate limiting rules',
                'Implement additional bot detection mechanisms',
                'Coordinate with ISP for upstream filtering',
                'Consider DDoS-as-a-Service provider for large attacks',
                'Update DDoS response playbook',
                'Conduct post-incident review'
            ],
            'protection_capacity': {
                'maximum_pps': 50000000,
                'maximum_bps': 500000000000,  # 500 Gbps
                'current_utilization': 17.0,
                'available_capacity': 83.0
            },
            'reports_generated': [
                f'ddos_protection_{action}_20251116.pdf',
                f'ddos_attacks_timeline_20251116.json',
                f'ddos_mitigation_log_20251116.csv',
                f'ddos_traffic_analysis_20251116.html'
            ],
            'next_steps': [
                'Monitor ongoing HTTP flood attack',
                'Review mitigation effectiveness',
                'Update blacklist with new attacker IPs',
                'Coordinate with CDN provider',
                'Prepare incident report',
                'Schedule DDoS resilience testing'
            ]
        }

    def validate_params(self, params: Dict[str, Any]) -> bool:
        """Validate DDoS protection parameters."""
        valid_actions = ['monitor', 'detect', 'mitigate', 'report']
        action = params.get('action', 'monitor')
        if action not in valid_actions:
            self.logger.error(f"Invalid action: {action}")
            return False

        valid_modes = ['learning', 'active', 'aggressive']
        protection_mode = params.get('protection_mode', 'active')
        if protection_mode not in valid_modes:
            self.logger.error(f"Invalid protection_mode: {protection_mode}")
            return False

        return True
