"""
Threat Detector Agent

Detects security threats using behavioral analysis, anomaly detection,
threat intelligence, and pattern matching across systems and networks.
"""

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


class ThreatDetectorAgent(BaseAgent):
    """
    Security threat detection agent.

    Detects:
    - Advanced Persistent Threats (APT)
    - Anomalous behavior
    - Threat intelligence indicators
    - Zero-day attacks
    - Insider threats
    - Command and control (C2) communication
    """

    def __init__(self):
        super().__init__(
            name='threat-detector',
            description='Detect security threats',
            category='security',
            version='1.0.0',
            tags=['threat', 'detection', 'apt', 'anomaly', 'intelligence', 'behavioral']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Detect security threats.

        Args:
            params: {
                'detection_scope': 'network|endpoint|cloud|application|all',
                'detection_methods': ['behavioral', 'signature', 'anomaly', 'ml', 'threat-intel'],
                'data_sources': {
                    'logs': List[str],
                    'network_traffic': bool,
                    'endpoint_telemetry': bool,
                    'cloud_events': bool,
                    'user_activity': bool
                },
                'threat_intel_feeds': List[str],
                'sensitivity': 'low|medium|high',
                'time_window': {
                    'start': str,
                    'end': str,
                    'duration_hours': int
                },
                'options': {
                    'correlate_events': bool,
                    'enrich_with_threat_intel': bool,
                    'calculate_risk_score': bool,
                    'auto_respond': bool
                }
            }

        Returns:
            {
                'status': 'success|failed',
                'detection_id': str,
                'threats_detected': List[Dict],
                'threat_count': int,
                'severity_distribution': Dict,
                'recommendations': List[str]
            }
        """
        detection_scope = params.get('detection_scope', 'all')
        detection_methods = params.get('detection_methods', ['behavioral', 'anomaly'])
        data_sources = params.get('data_sources', {})
        sensitivity = params.get('sensitivity', 'medium')

        self.logger.info(
            f"Detecting threats - scope: {detection_scope}, methods: {', '.join(detection_methods)}"
        )

        # Mock threat detection results
        threats_detected = [
            {
                'id': 'THREAT-001',
                'severity': 'critical',
                'type': 'Advanced Persistent Threat (APT)',
                'name': 'APT29 (Cozy Bear)',
                'confidence': 0.92,
                'detection_method': 'behavioral + threat-intel',
                'description': 'Suspected APT29 activity detected',
                'indicators': {
                    'c2_domains': ['malicious-c2.example.com'],
                    'malicious_ips': ['185.220.101.45', '195.133.94.23'],
                    'file_hashes': ['a1b2c3d4e5f6...'],
                    'ttps': ['T1071.001', 'T1059.001', 'T1566.001']
                },
                'affected_systems': [
                    '10.0.1.50 (web-server-01)',
                    '10.0.1.55 (database-server)',
                    '10.0.2.10 (workstation-45)'
                ],
                'timeline': {
                    'first_seen': '2025-11-10T14:23:00Z',
                    'last_seen': '2025-11-16T10:15:00Z',
                    'duration_days': 6
                },
                'attack_stages': [
                    'Initial Access (Spear Phishing)',
                    'Execution (PowerShell)',
                    'Persistence (Scheduled Task)',
                    'Command and Control',
                    'Exfiltration (Suspected)'
                ],
                'mitre_tactics': ['Initial Access', 'Execution', 'Persistence', 'C2', 'Exfiltration'],
                'risk_score': 9.8,
                'recommended_actions': [
                    'Isolate affected systems immediately',
                    'Block C2 domains and IPs',
                    'Perform forensic analysis',
                    'Hunt for additional indicators',
                    'Notify incident response team'
                ]
            },
            {
                'id': 'THREAT-002',
                'severity': 'high',
                'type': 'Insider Threat',
                'name': 'Data Exfiltration Attempt',
                'confidence': 0.87,
                'detection_method': 'anomaly + behavioral',
                'description': 'Unusual data access and transfer patterns detected',
                'user': 'john.doe',
                'anomalies': [
                    'Accessed 15x more files than usual',
                    'Downloaded 2.5GB of data at 3 AM',
                    'Accessed systems not typical for role',
                    'Used external USB device',
                    'Copied files to personal cloud storage'
                ],
                'affected_data': {
                    'databases': ['customer_db', 'financial_db'],
                    'file_shares': ['//fileserver/confidential'],
                    'records_accessed': 25000,
                    'data_classification': ['Confidential', 'PII', 'Financial']
                },
                'timeline': {
                    'first_anomaly': '2025-11-16T03:15:00Z',
                    'last_activity': '2025-11-16T04:45:00Z'
                },
                'risk_score': 8.5,
                'recommended_actions': [
                    'Suspend user account immediately',
                    'Review access logs',
                    'Notify HR and legal',
                    'Preserve evidence',
                    'Interview user'
                ]
            },
            {
                'id': 'THREAT-003',
                'severity': 'high',
                'type': 'Malware - Ransomware',
                'name': 'Ransomware Activity',
                'confidence': 0.95,
                'detection_method': 'signature + behavioral',
                'description': 'Ransomware encryption activity detected',
                'malware_family': 'REvil/Sodinokibi',
                'indicators': {
                    'file_hash': 'b4d3c2a1f5e6d7c8...',
                    'c2_server': '92.118.36.199',
                    'encryption_extension': '.locked',
                    'ransom_note': 'README_HOW_TO_DECRYPT.txt'
                },
                'affected_systems': ['10.0.3.25 (file-server-02)'],
                'files_encrypted': 1247,
                'total_size_gb': 45.2,
                'timeline': {
                    'initial_infection': '2025-11-16T09:30:00Z',
                    'encryption_started': '2025-11-16T09:45:00Z',
                    'detected': '2025-11-16T09:47:00Z'
                },
                'attack_vector': 'Phishing email with malicious attachment',
                'risk_score': 9.5,
                'recommended_actions': [
                    'Isolate affected system immediately',
                    'Block C2 communication',
                    'Identify patient zero',
                    'Check backup integrity',
                    'Do NOT pay ransom',
                    'Engage incident response team'
                ]
            },
            {
                'id': 'THREAT-004',
                'severity': 'medium',
                'type': 'Brute Force Attack',
                'name': 'SSH Brute Force',
                'confidence': 0.98,
                'detection_method': 'signature',
                'description': 'Brute force attack against SSH service',
                'source_ips': ['45.89.123.45', '103.55.67.89', '185.220.102.8'],
                'target_systems': ['10.0.1.10 (ssh-server)'],
                'attack_stats': {
                    'total_attempts': 15234,
                    'failed_attempts': 15234,
                    'success_attempts': 0,
                    'unique_usernames_tried': 287,
                    'duration_hours': 4.5
                },
                'timeline': {
                    'attack_started': '2025-11-16T05:00:00Z',
                    'attack_ended': '2025-11-16T09:30:00Z'
                },
                'risk_score': 6.5,
                'recommended_actions': [
                    'Block source IPs at firewall',
                    'Enable fail2ban or similar',
                    'Enforce key-based authentication',
                    'Implement rate limiting',
                    'Enable MFA'
                ]
            },
            {
                'id': 'THREAT-005',
                'severity': 'medium',
                'type': 'Cryptomining',
                'name': 'Unauthorized Cryptomining',
                'confidence': 0.89,
                'detection_method': 'behavioral + anomaly',
                'description': 'Cryptomining activity detected on production servers',
                'affected_systems': [
                    '10.0.1.75 (app-server-03)',
                    '10.0.1.76 (app-server-04)'
                ],
                'indicators': {
                    'mining_pools': ['pool.minexmr.com:4444'],
                    'wallet_address': 'crypto-wallet-address-here',
                    'process_name': 'kworker',
                    'cpu_usage': '98%',
                    'network_connections': 'Outbound to mining pool'
                },
                'impact': {
                    'performance_degradation': 'Severe',
                    'increased_costs': '$2,500/month estimated',
                    'affected_applications': ['Production API', 'Web Application']
                },
                'risk_score': 6.0,
                'recommended_actions': [
                    'Terminate mining processes',
                    'Remove malicious binaries',
                    'Block mining pool domains',
                    'Investigate infection vector',
                    'Patch vulnerabilities'
                ]
            }
        ]

        severity_distribution = {
            'critical': sum(1 for t in threats_detected if t['severity'] == 'critical'),
            'high': sum(1 for t in threats_detected if t['severity'] == 'high'),
            'medium': sum(1 for t in threats_detected if t['severity'] == 'medium'),
            'low': sum(1 for t in threats_detected if t['severity'] == 'low')
        }

        threat_types_detected = {
            'APT': 1,
            'Insider Threat': 1,
            'Ransomware': 1,
            'Brute Force': 1,
            'Cryptomining': 1
        }

        mitre_attack_coverage = {
            'tactics_observed': ['Initial Access', 'Execution', 'Persistence', 'Privilege Escalation',
                                 'Defense Evasion', 'Credential Access', 'Command and Control', 'Exfiltration'],
            'techniques_observed': ['T1071.001', 'T1059.001', 'T1566.001', 'T1110', 'T1496'],
            'total_ttps': 5
        }

        return {
            'status': 'success',
            'detection_id': f'threat-detection-{detection_scope}-20251116-001',
            'detection_scope': detection_scope,
            'detection_methods': detection_methods,
            'sensitivity': sensitivity,
            'timestamp': '2025-11-16T00:00:00Z',
            'threats_detected': threats_detected,
            'threat_count': len(threats_detected),
            'severity_distribution': severity_distribution,
            'threat_types_detected': threat_types_detected,
            'mitre_attack_coverage': mitre_attack_coverage,
            'total_events_analyzed': 1250000,
            'events_correlated': 4567,
            'true_positives': len(threats_detected),
            'false_positives': 12,
            'detection_accuracy': 0.96,
            'mean_time_to_detect': '12 minutes',
            'threat_intel_matches': 47,
            'iocs_identified': {
                'malicious_ips': 15,
                'malicious_domains': 8,
                'file_hashes': 23,
                'urls': 12
            },
            'recommendations': [
                'IMMEDIATE: Address critical APT threat - isolate systems',
                'IMMEDIATE: Suspend insider threat user account',
                'IMMEDIATE: Contain ransomware - isolate affected systems',
                'HIGH: Block brute force source IPs',
                'MEDIUM: Remove cryptomining malware',
                'Enable automated threat response',
                'Enhance threat intelligence integration',
                'Conduct threat hunting exercises',
                'Update detection rules and signatures',
                'Train security team on new threat patterns'
            ],
            'detection_coverage': {
                'network': 0.92,
                'endpoint': 0.88,
                'cloud': 0.85,
                'application': 0.79
            },
            'reports_generated': [
                f'threat_detection_{detection_scope}_20251116.pdf',
                f'threat_intelligence_report_20251116.json',
                f'ioc_list_20251116.csv'
            ],
            'next_steps': [
                'Activate incident response for critical threats',
                'Perform threat hunting for related indicators',
                'Update firewall and IDS rules',
                'Share IOCs with threat intelligence community',
                'Review and improve detection coverage gaps'
            ]
        }

    def validate_params(self, params: Dict[str, Any]) -> bool:
        """Validate threat detection parameters."""
        valid_scopes = ['network', 'endpoint', 'cloud', 'application', 'all']
        detection_scope = params.get('detection_scope', 'all')
        if detection_scope not in valid_scopes:
            self.logger.error(f"Invalid detection_scope: {detection_scope}")
            return False

        valid_methods = ['behavioral', 'signature', 'anomaly', 'ml', 'threat-intel']
        detection_methods = params.get('detection_methods', ['behavioral'])
        for method in detection_methods:
            if method not in valid_methods:
                self.logger.error(f"Invalid detection method: {method}")
                return False

        valid_sensitivity = ['low', 'medium', 'high']
        sensitivity = params.get('sensitivity', 'medium')
        if sensitivity not in valid_sensitivity:
            self.logger.error(f"Invalid sensitivity: {sensitivity}")
            return False

        return True
