"""
Forensics Analyzer Agent

Performs digital forensics analysis including evidence collection,
preservation, analysis, and reporting for security investigations.
"""

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


class ForensicsAnalyzerAgent(BaseAgent):
    """
    Digital forensics analysis agent.

    Performs:
    - Evidence acquisition and preservation
    - File system analysis
    - Memory forensics
    - Network forensics
    - Timeline analysis
    - Artifact recovery
    """

    def __init__(self):
        super().__init__(
            name='forensics-analyzer',
            description='Digital forensics analysis',
            category='security',
            version='1.0.0',
            tags=['forensics', 'investigation', 'evidence', 'analysis', 'eDiscovery']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Perform forensic analysis.

        Args:
            params: {
                'action': 'acquire|analyze|timeline|report',
                'targets': {
                    'systems': List[str],
                    'disk_images': List[str],
                    'memory_dumps': List[str],
                    'network_captures': List[str],
                    'log_files': List[str]
                },
                'analysis_type': 'live|dead|hybrid',
                'forensic_tools': List[str],
                'investigation_id': str,
                'preserve_evidence': bool,
                'chain_of_custody': bool
            }

        Returns:
            {
                'status': 'success|failed',
                'investigation_id': str,
                'findings': List[Dict],
                'evidence_collected': List[Dict],
                'timeline': List[Dict]
            }
        """
        action = params.get('action', 'analyze')
        targets = params.get('targets', {})
        analysis_type = params.get('analysis_type', 'hybrid')
        investigation_id = params.get('investigation_id', 'FOR-20251116-001')

        self.logger.info(
            f"Forensics analysis - investigation: {investigation_id}, type: {analysis_type}"
        )

        evidence_collected = [
            {
                'evidence_id': 'EVD-001',
                'type': 'Disk Image',
                'source': 'web-server-01',
                'file_name': 'web-server-01_20251116.dd',
                'size_gb': 500,
                'hash_md5': 'a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6',
                'hash_sha256': 'b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2',
                'acquired_at': '2025-11-16T10:30:00Z',
                'acquired_by': 'forensics.analyst',
                'integrity_verified': True,
                'chain_of_custody': True
            },
            {
                'evidence_id': 'EVD-002',
                'type': 'Memory Dump',
                'source': 'web-server-01',
                'file_name': 'web-server-01_memory.mem',
                'size_gb': 32,
                'hash_md5': 'c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7',
                'hash_sha256': 'd3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4',
                'acquired_at': '2025-11-16T10:25:00Z',
                'acquired_by': 'forensics.analyst',
                'integrity_verified': True
            },
            {
                'evidence_id': 'EVD-003',
                'type': 'Network Capture',
                'source': 'Firewall SPAN Port',
                'file_name': 'network_traffic_20251116.pcap',
                'size_gb': 15.5,
                'packets_captured': 45678901,
                'duration_hours': 4,
                'acquired_at': '2025-11-16T10:15:00Z'
            },
            {
                'evidence_id': 'EVD-004',
                'type': 'Log Files',
                'source': 'SIEM',
                'file_count': 234,
                'size_gb': 8.2,
                'log_types': ['firewall', 'ids', 'auth', 'web_server', 'database'],
                'acquired_at': '2025-11-16T10:20:00Z'
            }
        ]

        findings = [
            {
                'finding_id': 'FIND-001',
                'category': 'Malware Detection',
                'severity': 'critical',
                'description': 'Ransomware binary found on disk',
                'evidence': 'EVD-001',
                'location': '/tmp/.hidden/encrypt.exe',
                'file_hash': 'e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9',
                'malware_family': 'REvil/Sodinokibi',
                'first_seen': '2025-11-16T09:45:00Z',
                'last_modified': '2025-11-16T09:50:00Z'
            },
            {
                'finding_id': 'FIND-002',
                'category': 'Persistence Mechanism',
                'severity': 'high',
                'description': 'Malicious scheduled task created',
                'evidence': 'EVD-001',
                'task_name': 'SystemUpdate',
                'command': 'C:\\tmp\\.hidden\\encrypt.exe --silent',
                'created_at': '2025-11-16T09:46:00Z',
                'creator': 'SYSTEM'
            },
            {
                'finding_id': 'FIND-003',
                'category': 'Network Communication',
                'severity': 'critical',
                'description': 'C2 communication detected',
                'evidence': 'EVD-003',
                'destination_ip': '185.220.101.45',
                'destination_port': 8080,
                'protocol': 'HTTPS',
                'data_sent_mb': 15.2,
                'connections': 47,
                'first_connection': '2025-11-16T09:47:00Z',
                'last_connection': '2025-11-16T10:15:00Z'
            },
            {
                'finding_id': 'FIND-004',
                'category': 'Data Access',
                'severity': 'high',
                'description': 'Unusual file access patterns',
                'evidence': 'EVD-004',
                'files_accessed': 1247,
                'file_types': ['.docx', '.xlsx', '.pdf', '.db'],
                'access_pattern': 'Rapid sequential access',
                'user_account': 'john.doe'
            },
            {
                'finding_id': 'FIND-005',
                'category': 'Credential Theft',
                'severity': 'critical',
                'description': 'LSASS memory dump attempted',
                'evidence': 'EVD-002',
                'tool_used': 'Mimikatz',
                'credentials_compromised': 12,
                'timestamp': '2025-11-16T09:48:00Z'
            }
        ]

        timeline = [
            {
                'timestamp': '2025-11-16T09:42:00Z',
                'event': 'Initial Access',
                'source': 'EVD-004',
                'description': 'Phishing email opened, malicious attachment executed',
                'user': 'john.doe',
                'host': 'workstation-45'
            },
            {
                'timestamp': '2025-11-16T09:45:00Z',
                'event': 'Malware Execution',
                'source': 'EVD-001',
                'description': 'Ransomware binary executed from temp directory',
                'process': 'encrypt.exe',
                'pid': 4532
            },
            {
                'timestamp': '2025-11-16T09:46:00Z',
                'event': 'Persistence Established',
                'source': 'EVD-001',
                'description': 'Malicious scheduled task created',
                'artifact': 'SystemUpdate task'
            },
            {
                'timestamp': '2025-11-16T09:47:00Z',
                'event': 'C2 Communication',
                'source': 'EVD-003',
                'description': 'Established connection to C2 server',
                'ip': '185.220.101.45'
            },
            {
                'timestamp': '2025-11-16T09:48:00Z',
                'event': 'Credential Access',
                'source': 'EVD-002',
                'description': 'Attempted LSASS memory dump',
                'tool': 'Mimikatz'
            },
            {
                'timestamp': '2025-11-16T09:50:00Z',
                'event': 'Lateral Movement',
                'source': 'EVD-004',
                'description': 'Used stolen credentials to access web-server-01',
                'method': 'RDP'
            },
            {
                'timestamp': '2025-11-16T10:00:00Z',
                'event': 'Encryption Started',
                'source': 'EVD-001',
                'description': 'Began encrypting files on web-server-01',
                'files_encrypted': 1247
            },
            {
                'timestamp': '2025-11-16T10:15:00Z',
                'event': 'Detection',
                'source': 'EDR',
                'description': 'Ransomware activity detected and alerted',
                'alert_id': 'ALT-12345'
            }
        ]

        artifacts_recovered = {
            'deleted_files': 47,
            'registry_keys': 23,
            'browser_history': 156,
            'temp_files': 89,
            'email_messages': 34,
            'documents': 245,
            'executables': 12,
            'scripts': 8
        }

        return {
            'status': 'success',
            'investigation_id': investigation_id,
            'action': action,
            'analysis_type': analysis_type,
            'timestamp': '2025-11-16T00:00:00Z',
            'evidence_collected': evidence_collected,
            'total_evidence_items': len(evidence_collected),
            'total_evidence_size_gb': 555.7,
            'findings': findings,
            'total_findings': len(findings),
            'critical_findings': sum(1 for f in findings if f['severity'] == 'critical'),
            'high_findings': sum(1 for f in findings if f['severity'] == 'high'),
            'timeline': timeline,
            'timeline_span_hours': 1.5,
            'artifacts_recovered': artifacts_recovered,
            'total_artifacts': sum(artifacts_recovered.values()),
            'analysis_summary': {
                'attack_vector': 'Phishing email with malicious attachment',
                'malware_type': 'Ransomware (REvil/Sodinokibi)',
                'initial_compromise': '2025-11-16T09:42:00Z',
                'detection_time': '2025-11-16T10:15:00Z',
                'dwell_time_minutes': 33,
                'systems_compromised': 2,
                'data_exfiltrated': False,
                'files_encrypted': 1247,
                'credentials_stolen': 12,
                'persistence_mechanisms': 1,
                'c2_servers': 1
            },
            'iocs_identified': {
                'file_hashes': 15,
                'ip_addresses': 8,
                'domains': 3,
                'urls': 12,
                'registry_keys': 5,
                'file_paths': 23
            },
            'investigation_tools_used': [
                'EnCase Forensic',
                'FTK Imager',
                'Volatility (Memory Analysis)',
                'Wireshark',
                'Autopsy',
                'X-Ways Forensics'
            ],
            'chain_of_custody': {
                'maintained': True,
                'custodians': ['forensics.analyst', 'security.lead'],
                'transfers': 2,
                'storage_location': 'Secure Evidence Locker',
                'access_log_entries': 12
            },
            'recommendations': [
                'IMMEDIATE: Block C2 IP addresses at perimeter',
                'IMMEDIATE: Reset all 12 compromised credentials',
                'HIGH: Remove persistence mechanisms',
                'HIGH: Restore encrypted files from backup',
                'MEDIUM: Implement email attachment sandboxing',
                'Conduct user security awareness training',
                'Update endpoint protection signatures',
                'Review and update incident response procedures',
                'Share IOCs with threat intelligence community'
            ],
            'reports_generated': [
                f'forensics_report_{investigation_id}.pdf',
                f'forensics_timeline_{investigation_id}.html',
                f'forensics_evidence_log_{investigation_id}.csv',
                f'forensics_iocs_{investigation_id}.json',
                f'forensics_technical_analysis_{investigation_id}.docx'
            ],
            'next_steps': [
                'Complete detailed timeline analysis',
                'Analyze memory dump for additional IOCs',
                'Correlate with threat intelligence',
                'Prepare expert witness report if needed',
                'Archive evidence securely',
                'Conduct lessons learned session'
            ]
        }

    def validate_params(self, params: Dict[str, Any]) -> bool:
        """Validate forensic analysis parameters."""
        valid_actions = ['acquire', 'analyze', 'timeline', 'report']
        action = params.get('action', 'analyze')
        if action not in valid_actions:
            self.logger.error(f"Invalid action: {action}")
            return False

        valid_analysis_types = ['live', 'dead', 'hybrid']
        analysis_type = params.get('analysis_type', 'hybrid')
        if analysis_type not in valid_analysis_types:
            self.logger.error(f"Invalid analysis_type: {analysis_type}")
            return False

        return True
