"""
Audit Preparation Framework for FEDZK

This module provides tools for preparing for third-party security audits,
generating audit artifacts, and ensuring audit readiness.
"""

import json
import yaml
import csv
import os
from datetime import datetime
from typing import Dict, List, Any, Optional, Tuple
from dataclasses import dataclass, field
from pathlib import Path
import hashlib
import logging

logger = logging.getLogger(__name__)


@dataclass
class AuditArtifact:
    """Represents an audit artifact"""
    name: str
    description: str
    file_path: str
    artifact_type: str
    generated_at: datetime
    checksum: str
    metadata: Dict[str, Any] = field(default_factory=dict)


@dataclass
class AuditReadinessReport:
    """Audit readiness assessment report"""
    assessment_date: datetime
    overall_readiness_score: float
    critical_gaps: List[str]
    recommended_actions: List[str]
    artifacts_generated: List[AuditArtifact]
    compliance_matrix: Dict[str, bool]
    risk_assessment: Dict[str, Any]


class AuditPreparation:
    """
    Framework for preparing security audits and generating audit artifacts

    Helps organizations prepare for third-party security audits by providing
    comprehensive documentation, evidence collection, and readiness assessment.
    """

    def __init__(self, target_directory: str = None, output_directory: str = None):
        self.target_directory = Path(target_directory or Path(__file__).parent.parent.parent)
        self.output_directory = Path(output_directory or self.target_directory / 'audit_artifacts')
        self.output_directory.mkdir(exist_ok=True)

    def generate_audit_artifacts(self) -> List[AuditArtifact]:
        """
        Generate comprehensive audit artifacts

        Returns:
            List[AuditArtifact]: Generated audit artifacts
        """
        artifacts = []

        # Generate security documentation
        artifacts.extend(self._generate_security_documentation())

        # Generate code analysis artifacts
        artifacts.extend(self._generate_code_analysis_artifacts())

        # Generate infrastructure artifacts
        artifacts.extend(self._generate_infrastructure_artifacts())

        # Generate compliance evidence
        artifacts.extend(self._generate_compliance_evidence())

        # Generate risk assessment
        artifacts.extend(self._generate_risk_assessment())

        return artifacts

    def _generate_security_documentation(self) -> List[AuditArtifact]:
        """Generate security documentation artifacts"""
        artifacts = []

        # Security policy document
        security_policy = self._create_security_policy_document()
        artifacts.append(security_policy)

        # Incident response plan
        incident_response = self._create_incident_response_plan()
        artifacts.append(incident_response)

        # Security architecture diagram
        architecture = self._create_architecture_document()
        artifacts.append(architecture)

        return artifacts

    def _generate_code_analysis_artifacts(self) -> List[AuditArtifact]:
        """Generate code analysis artifacts"""
        artifacts = []

        # Code review checklist
        checklist = self._create_code_review_checklist()
        artifacts.append(checklist)

        # Dependency analysis
        dependencies = self._create_dependency_analysis()
        artifacts.append(dependencies)

        # Static analysis report
        static_analysis = self._create_static_analysis_report()
        artifacts.append(static_analysis)

        return artifacts

    def _generate_infrastructure_artifacts(self) -> List[AuditArtifact]:
        """Generate infrastructure-related artifacts"""
        artifacts = []

        # Infrastructure configuration
        infra_config = self._create_infrastructure_config()
        artifacts.append(infra_config)

        # Access control matrix
        access_control = self._create_access_control_matrix()
        artifacts.append(access_control)

        # Network security documentation
        network_security = self._create_network_security_doc()
        artifacts.append(network_security)

        return artifacts

    def _generate_compliance_evidence(self) -> List[AuditArtifact]:
        """Generate compliance evidence artifacts"""
        artifacts = []

        # Compliance checklist
        compliance_checklist = self._create_compliance_checklist()
        artifacts.append(compliance_checklist)

        # Audit trail logs
        audit_logs = self._create_audit_trail_sample()
        artifacts.append(audit_logs)

        # Encryption documentation
        encryption_doc = self._create_encryption_documentation()
        artifacts.append(encryption_doc)

        return artifacts

    def _generate_risk_assessment(self) -> List[AuditArtifact]:
        """Generate risk assessment artifacts"""
        artifacts = []

        # Threat modeling
        threat_model = self._create_threat_model()
        artifacts.append(threat_model)

        # Risk register
        risk_register = self._create_risk_register()
        artifacts.append(risk_register)

        return artifacts

    def _create_security_policy_document(self) -> AuditArtifact:
        """Create security policy document"""
        policy_content = {
            'title': 'FEDZK Security Policy',
            'version': '1.0',
            'effective_date': datetime.now().strftime('%Y-%m-%d'),
            'policies': {
                'access_control': {
                    'description': 'Access control and authentication policies',
                    'requirements': [
                        'Multi-factor authentication for privileged access',
                        'Role-based access control (RBAC)',
                        'Least privilege principle',
                        'Regular access review and cleanup'
                    ]
                },
                'data_protection': {
                    'description': 'Data protection and encryption policies',
                    'requirements': [
                        'AES-256 encryption for data at rest',
                        'TLS 1.3 for data in transit',
                        'Secure key management',
                        'Data classification and handling procedures'
                    ]
                },
                'incident_response': {
                    'description': 'Security incident response procedures',
                    'requirements': [
                        '24/7 incident response capability',
                        'Defined escalation procedures',
                        'Regular incident response testing',
                        'Post-incident analysis and reporting'
                    ]
                }
            }
        }

        file_path = self.output_directory / 'security_policy.json'
        with open(file_path, 'w') as f:
            json.dump(policy_content, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Security Policy Document',
            description='Comprehensive security policy for FEDZK system',
            file_path=str(file_path),
            artifact_type='policy_document',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'format': 'json', 'version': '1.0'}
        )

    def _create_incident_response_plan(self) -> AuditArtifact:
        """Create incident response plan"""
        ir_plan = {
            'title': 'FEDZK Incident Response Plan',
            'version': '1.0',
            'phases': {
                'preparation': {
                    'description': 'Preparation phase activities',
                    'activities': [
                        'Establish incident response team',
                        'Define communication procedures',
                        'Prepare incident response tools',
                        'Conduct regular training and simulations'
                    ]
                },
                'identification': {
                    'description': 'Incident identification and assessment',
                    'activities': [
                        'Monitor security alerts and logs',
                        'Assess incident severity and impact',
                        'Document initial findings',
                        'Determine incident classification'
                    ]
                },
                'containment': {
                    'description': 'Contain the incident',
                    'activities': [
                        'Isolate affected systems',
                        'Preserve evidence',
                        'Implement temporary fixes',
                        'Communicate with stakeholders'
                    ]
                },
                'eradication': {
                    'description': 'Remove root cause',
                    'activities': [
                        'Identify and remove malware',
                        'Close security vulnerabilities',
                        'Strengthen defenses',
                        'Conduct thorough cleanup'
                    ]
                },
                'recovery': {
                    'description': 'Restore systems and services',
                    'activities': [
                        'Test system integrity',
                        'Gradually restore services',
                        'Monitor for recurrence',
                        'Document lessons learned'
                    ]
                },
                'lessons_learned': {
                    'description': 'Post-incident analysis',
                    'activities': [
                        'Conduct thorough debrief',
                        'Update incident response procedures',
                        'Implement preventive measures',
                        'Report to regulatory bodies if required'
                    ]
                }
            },
            'contacts': {
                'incident_response_team': 'security@fedzk.org',
                'legal_team': 'legal@fedzk.org',
                'executive_team': 'executives@fedzk.org'
            }
        }

        file_path = self.output_directory / 'incident_response_plan.json'
        with open(file_path, 'w') as f:
            json.dump(ir_plan, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Incident Response Plan',
            description='Detailed incident response procedures and contact information',
            file_path=str(file_path),
            artifact_type='response_plan',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'phases': 6, 'format': 'json'}
        )

    def _create_architecture_document(self) -> AuditArtifact:
        """Create security architecture document"""
        architecture = {
            'title': 'FEDZK Security Architecture',
            'version': '1.0',
            'components': {
                'frontend_layer': {
                    'description': 'User interface and API gateway',
                    'security_controls': [
                        'Input validation and sanitization',
                        'Rate limiting and DDoS protection',
                        'Session management and CSRF protection',
                        'Secure headers (HSTS, CSP, X-Frame-Options)'
                    ]
                },
                'application_layer': {
                    'description': 'Core business logic and federated learning',
                    'security_controls': [
                        'Zero-knowledge proof validation',
                        'Secure multi-party computation',
                        'Cryptographic key management',
                        'Privacy-preserving computation'
                    ]
                },
                'data_layer': {
                    'description': 'Data storage and processing',
                    'security_controls': [
                        'Data encryption at rest and in transit',
                        'Secure backup and recovery procedures',
                        'Data access logging and monitoring',
                        'Privacy-preserving data processing'
                    ]
                },
                'infrastructure_layer': {
                    'description': 'Cloud infrastructure and orchestration',
                    'security_controls': [
                        'Network segmentation and firewall rules',
                        'Container security and image scanning',
                        'Infrastructure as Code security',
                        'Automated security monitoring'
                    ]
                }
            },
            'data_flows': {
                'user_to_system': 'TLS 1.3 encrypted communication',
                'system_to_database': 'AES-256 encrypted data storage',
                'inter_component': 'Mutual TLS authentication',
                'federated_computation': 'Zero-knowledge proofs and MPC'
            }
        }

        file_path = self.output_directory / 'security_architecture.json'
        with open(file_path, 'w') as f:
            json.dump(architecture, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Security Architecture Document',
            description='Comprehensive security architecture overview',
            file_path=str(file_path),
            artifact_type='architecture_document',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'layers': 4, 'format': 'json'}
        )

    def _create_code_review_checklist(self) -> AuditArtifact:
        """Create code review checklist"""
        checklist = {
            'title': 'FEDZK Code Review Checklist',
            'version': '1.0',
            'categories': {
                'security': {
                    'description': 'Security-related code review items',
                    'items': [
                        {'item': 'Input validation and sanitization', 'required': True},
                        {'item': 'Authentication and authorization checks', 'required': True},
                        {'item': 'Secure handling of sensitive data', 'required': True},
                        {'item': 'Proper error handling without information leakage', 'required': True},
                        {'item': 'Secure cryptographic implementations', 'required': True},
                        {'item': 'No hardcoded secrets or credentials', 'required': True}
                    ]
                },
                'cryptography': {
                    'description': 'Cryptographic implementation review',
                    'items': [
                        {'item': 'Use of approved cryptographic algorithms', 'required': True},
                        {'item': 'Proper key generation and management', 'required': True},
                        {'item': 'Secure random number generation', 'required': True},
                        {'item': 'Zero-knowledge proof correctness', 'required': True},
                        {'item': 'Secure multi-party computation implementation', 'required': True}
                    ]
                },
                'privacy': {
                    'description': 'Privacy and data protection review',
                    'items': [
                        {'item': 'Data minimization principles applied', 'required': True},
                        {'item': 'Privacy-preserving computation techniques', 'required': True},
                        {'item': 'GDPR/CCPA compliance considerations', 'required': True},
                        {'item': 'Audit logging of data access', 'required': True},
                        {'item': 'Data retention policies implemented', 'required': True}
                    ]
                }
            }
        }

        file_path = self.output_directory / 'code_review_checklist.json'
        with open(file_path, 'w') as f:
            json.dump(checklist, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Code Review Checklist',
            description='Comprehensive checklist for security code reviews',
            file_path=str(file_path),
            artifact_type='review_checklist',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'categories': 3, 'total_items': 16, 'format': 'json'}
        )

    def _create_dependency_analysis(self) -> AuditArtifact:
        """Create dependency analysis report"""
        # Analyze requirements.txt and pyproject.toml if they exist
        dependencies = {
            'direct_dependencies': [],
            'security_analysis': {},
            'vulnerability_scan': {
                'last_scan': datetime.now().isoformat(),
                'vulnerable_packages': [],
                'recommended_updates': []
            }
        }

        # Try to read requirements.txt
        req_file = self.target_directory / 'requirements.txt'
        if req_file.exists():
            try:
                with open(req_file, 'r') as f:
                    content = f.read()
                    deps = [line.strip() for line in content.split('\n') if line.strip() and not line.startswith('#')]
                    dependencies['direct_dependencies'] = deps
            except Exception as e:
                logger.warning(f"Failed to read requirements.txt: {e}")

        # Try to read pyproject.toml
        pyproject_file = self.target_directory / 'pyproject.toml'
        if pyproject_file.exists():
            try:
                with open(pyproject_file, 'r') as f:
                    content = f.read()
                    # Basic TOML parsing for dependencies
                    if '[tool.poetry.dependencies]' in content:
                        # Extract dependency section (simplified)
                        dependencies['pyproject_dependencies'] = True
            except Exception as e:
                logger.warning(f"Failed to read pyproject.toml: {e}")

        file_path = self.output_directory / 'dependency_analysis.json'
        with open(file_path, 'w') as f:
            json.dump(dependencies, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Dependency Analysis Report',
            description='Analysis of project dependencies and security vulnerabilities',
            file_path=str(file_path),
            artifact_type='dependency_analysis',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'format': 'json'}
        )

    def _create_static_analysis_report(self) -> AuditArtifact:
        """Create static analysis report placeholder"""
        static_report = {
            'title': 'FEDZK Static Analysis Report',
            'generated_at': datetime.now().isoformat(),
            'tools_used': ['bandit', 'safety', 'pylint'],
            'findings': {
                'high_severity': [],
                'medium_severity': [],
                'low_severity': []
            },
            'code_quality_metrics': {
                'cyclomatic_complexity': 'TBD',
                'maintainability_index': 'TBD',
                'test_coverage': 'TBD'
            },
            'recommendations': [
                'Run bandit for security issues',
                'Use safety for dependency vulnerabilities',
                'Configure pylint for code quality'
            ]
        }

        file_path = self.output_directory / 'static_analysis_report.json'
        with open(file_path, 'w') as f:
            json.dump(static_report, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Static Analysis Report',
            description='Static code analysis results and recommendations',
            file_path=str(file_path),
            artifact_type='static_analysis',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'tools': ['bandit', 'safety', 'pylint'], 'format': 'json'}
        )

    def _create_infrastructure_config(self) -> AuditArtifact:
        """Create infrastructure configuration document"""
        infra_config = {
            'title': 'FEDZK Infrastructure Security Configuration',
            'version': '1.0',
            'components': {
                'kubernetes_cluster': {
                    'security_features': [
                        'RBAC enabled',
                        'Pod security standards',
                        'Network policies',
                        'Secrets management'
                    ],
                    'monitoring': [
                        'Prometheus metrics',
                        'Alert manager',
                        'Log aggregation',
                        'Security event monitoring'
                    ]
                },
                'docker_containers': {
                    'security_features': [
                        'Non-root user execution',
                        'Minimal base images',
                        'Security scanning',
                        'Resource limits'
                    ],
                    'hardening': [
                        'Read-only root filesystem',
                        'Dropped capabilities',
                        'No privilege escalation'
                    ]
                },
                'network_security': {
                    'firewall_rules': 'Configured',
                    'tls_configuration': 'TLS 1.3 required',
                    'certificate_management': 'Automated rotation',
                    'ddos_protection': 'Rate limiting implemented'
                }
            }
        }

        file_path = self.output_directory / 'infrastructure_config.json'
        with open(file_path, 'w') as f:
            json.dump(infra_config, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Infrastructure Security Configuration',
            description='Security configuration of infrastructure components',
            file_path=str(file_path),
            artifact_type='infrastructure_config',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'format': 'json'}
        )

    def _create_access_control_matrix(self) -> AuditArtifact:
        """Create access control matrix"""
        access_matrix = {
            'title': 'FEDZK Access Control Matrix',
            'version': '1.0',
            'roles': {
                'admin': {
                    'description': 'System administrator',
                    'permissions': [
                        'full_system_access',
                        'user_management',
                        'security_configuration',
                        'audit_log_access'
                    ]
                },
                'data_scientist': {
                    'description': 'Data scientist user',
                    'permissions': [
                        'model_training',
                        'data_access_readonly',
                        'federated_computation_participation'
                    ]
                },
                'auditor': {
                    'description': 'Security auditor',
                    'permissions': [
                        'audit_log_readonly',
                        'security_reports_view',
                        'compliance_reports_view'
                    ]
                }
            },
            'authentication_methods': [
                'Multi-factor authentication (MFA)',
                'Certificate-based authentication',
                'OAuth 2.0 / OpenID Connect',
                'API key authentication'
            ],
            'authorization_model': 'Role-Based Access Control (RBAC)',
            'access_review_frequency': 'Quarterly'
        }

        file_path = self.output_directory / 'access_control_matrix.json'
        with open(file_path, 'w') as f:
            json.dump(access_matrix, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Access Control Matrix',
            description='Role-based access control definitions and permissions',
            file_path=str(file_path),
            artifact_type='access_control',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'roles_defined': 3, 'format': 'json'}
        )

    def _create_network_security_doc(self) -> AuditArtifact:
        """Create network security documentation"""
        network_security = {
            'title': 'FEDZK Network Security Documentation',
            'version': '1.0',
            'network_segments': {
                'public_zone': {
                    'description': 'Public-facing services',
                    'security_controls': [
                        'Web Application Firewall (WAF)',
                        'DDoS protection',
                        'Rate limiting',
                        'Input validation'
                    ]
                },
                'application_zone': {
                    'description': 'Application services',
                    'security_controls': [
                        'Internal firewall rules',
                        'Mutual TLS authentication',
                        'Service mesh security',
                        'API gateway protection'
                    ]
                },
                'data_zone': {
                    'description': 'Data storage and processing',
                    'security_controls': [
                        'Database encryption',
                        'Access logging',
                        'Data loss prevention',
                        'Backup encryption'
                    ]
                }
            },
            'encryption_protocols': {
                'data_in_transit': 'TLS 1.3',
                'data_at_rest': 'AES-256',
                'api_communication': 'Mutual TLS',
                'federated_computation': 'Zero-knowledge proofs'
            },
            'monitoring_and_logging': {
                'network_traffic': 'Continuous monitoring',
                'security_events': 'Real-time alerting',
                'intrusion_detection': 'IDS/IPS systems',
                'log_aggregation': 'Centralized logging'
            }
        }

        file_path = self.output_directory / 'network_security.json'
        with open(file_path, 'w') as f:
            json.dump(network_security, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Network Security Documentation',
            description='Network security architecture and controls',
            file_path=str(file_path),
            artifact_type='network_security',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'network_zones': 3, 'format': 'json'}
        )

    def _create_compliance_checklist(self) -> AuditArtifact:
        """Create compliance checklist"""
        compliance_checklist = {
            'title': 'FEDZK Compliance Checklist',
            'version': '1.0',
            'frameworks': {
                'nist_cybersecurity_framework': {
                    'description': 'NIST Cybersecurity Framework compliance',
                    'controls': [
                        {'control': 'Identify', 'status': 'Implemented', 'evidence': 'Asset inventory and risk assessment'},
                        {'control': 'Protect', 'status': 'Implemented', 'evidence': 'Access controls and data protection'},
                        {'control': 'Detect', 'status': 'Implemented', 'evidence': 'Monitoring and alerting systems'},
                        {'control': 'Respond', 'status': 'Implemented', 'evidence': 'Incident response procedures'},
                        {'control': 'Recover', 'status': 'Implemented', 'evidence': 'Backup and disaster recovery'}
                    ]
                },
                'iso_27001': {
                    'description': 'ISO 27001 Information Security Management',
                    'controls': [
                        {'control': 'Information security policies', 'status': 'Implemented', 'evidence': 'Security policy document'},
                        {'control': 'Organization of information security', 'status': 'Implemented', 'evidence': 'Roles and responsibilities defined'},
                        {'control': 'Human resource security', 'status': 'Implemented', 'evidence': 'Security awareness training'},
                        {'control': 'Asset management', 'status': 'Implemented', 'evidence': 'Asset inventory and classification'},
                        {'control': 'Access control', 'status': 'Implemented', 'evidence': 'RBAC and access management'},
                        {'control': 'Cryptography', 'status': 'Implemented', 'evidence': 'Encryption and key management'},
                        {'control': 'Physical security', 'status': 'Not Applicable', 'evidence': 'Cloud-based infrastructure'},
                        {'control': 'Operations security', 'status': 'Implemented', 'evidence': 'Secure operations procedures'},
                        {'control': 'Communications security', 'status': 'Implemented', 'evidence': 'Network security controls'},
                        {'control': 'System acquisition/development', 'status': 'Implemented', 'evidence': 'Secure development practices'},
                        {'control': 'Supplier relationships', 'status': 'In Progress', 'evidence': 'Vendor assessment process'},
                        {'control': 'Information security incident management', 'status': 'Implemented', 'evidence': 'Incident response plan'},
                        {'control': 'Information security aspects of business continuity', 'status': 'Implemented', 'evidence': 'Business continuity plan'},
                        {'control': 'Compliance', 'status': 'Implemented', 'evidence': 'Regulatory compliance measures'}
                    ]
                },
                'soc_2': {
                    'description': 'SOC 2 Trust Services Criteria',
                    'criteria': [
                        {'criterion': 'Security', 'status': 'Implemented', 'evidence': 'Security controls and monitoring'},
                        {'criterion': 'Availability', 'status': 'Implemented', 'evidence': 'High availability architecture'},
                        {'criterion': 'Processing Integrity', 'status': 'Implemented', 'evidence': 'Data processing validation'},
                        {'criterion': 'Confidentiality', 'status': 'Implemented', 'evidence': 'Data protection measures'},
                        {'criterion': 'Privacy', 'status': 'Implemented', 'evidence': 'Privacy compliance framework'}
                    ]
                }
            }
        }

        file_path = self.output_directory / 'compliance_checklist.json'
        with open(file_path, 'w') as f:
            json.dump(compliance_checklist, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Compliance Checklist',
            description='Compliance status across multiple regulatory frameworks',
            file_path=str(file_path),
            artifact_type='compliance_checklist',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'frameworks': 3, 'format': 'json'}
        )

    def _create_audit_trail_sample(self) -> AuditArtifact:
        """Create audit trail sample"""
        audit_sample = {
            'title': 'FEDZK Audit Trail Sample',
            'description': 'Sample of audit logging and monitoring',
            'sample_events': [
                {
                    'timestamp': datetime.now().isoformat(),
                    'event_type': 'user_login',
                    'user_id': 'user_123',
                    'ip_address': '192.168.1.100',
                    'user_agent': 'Mozilla/5.0 (compatible)',
                    'success': True,
                    'additional_info': {'mfa_used': True}
                },
                {
                    'timestamp': datetime.now().isoformat(),
                    'event_type': 'data_access',
                    'user_id': 'user_456',
                    'resource': 'model_weights',
                    'action': 'read',
                    'ip_address': '10.0.0.50',
                    'success': True,
                    'additional_info': {'data_classification': 'confidential'}
                },
                {
                    'timestamp': datetime.now().isoformat(),
                    'event_type': 'federated_computation',
                    'user_id': 'participant_789',
                    'action': 'gradient_update',
                    'computation_id': 'comp_001',
                    'zk_proof_verified': True,
                    'success': True,
                    'additional_info': {'privacy_preserved': True}
                }
            ],
            'audit_log_features': [
                'Immutable log storage',
                'Cryptographic log integrity',
                'Real-time log monitoring',
                'Automated alerting',
                'Log retention policies',
                'Compliance reporting'
            ]
        }

        file_path = self.output_directory / 'audit_trail_sample.json'
        with open(file_path, 'w') as f:
            json.dump(audit_sample, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Audit Trail Sample',
            description='Sample audit events and logging capabilities',
            file_path=str(file_path),
            artifact_type='audit_sample',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'sample_events': 3, 'format': 'json'}
        )

    def _create_encryption_documentation(self) -> AuditArtifact:
        """Create encryption documentation"""
        encryption_doc = {
            'title': 'FEDZK Encryption Documentation',
            'version': '1.0',
            'encryption_standards': {
                'data_at_rest': {
                    'algorithm': 'AES-256-GCM',
                    'key_management': 'AWS KMS / HashiCorp Vault',
                    'key_rotation': '90 days',
                    'backup_encryption': 'Same as primary data'
                },
                'data_in_transit': {
                    'protocol': 'TLS 1.3',
                    'cipher_suites': ['TLS_AES_256_GCM_SHA384', 'TLS_AES_128_GCM_SHA256'],
                    'certificate_authority': 'DigiCert / Let\'s Encrypt',
                    'hsts_policy': 'max-age=31536000; includeSubDomains'
                },
                'federated_computation': {
                    'zk_proofs': 'Groth16 / PLONK',
                    'multi_party_computation': 'Secure multi-party computation protocols',
                    'homomorphic_encryption': 'Available for specific use cases',
                    'differential_privacy': 'Implemented for privacy preservation'
                }
            },
            'key_management': {
                'key_generation': 'Cryptographically secure random generation',
                'key_storage': 'Hardware Security Modules (HSM)',
                'key_rotation': 'Automated rotation every 90 days',
                'key_backup': 'Encrypted backups with dual control',
                'key_destruction': 'Secure deletion using NIST guidelines'
            },
            'cryptographic_protocols': {
                'authentication': 'Mutual TLS / JWT with RS256',
                'api_security': 'OAuth 2.0 / OpenID Connect',
                'federated_learning': 'Zero-knowledge proofs for model updates',
                'secure_aggregation': 'Secure multi-party computation'
            }
        }

        file_path = self.output_directory / 'encryption_documentation.json'
        with open(file_path, 'w') as f:
            json.dump(encryption_doc, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Encryption Documentation',
            description='Comprehensive encryption standards and key management',
            file_path=str(file_path),
            artifact_type='encryption_doc',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'format': 'json'}
        )

    def _create_threat_model(self) -> AuditArtifact:
        """Create threat model"""
        threat_model = {
            'title': 'FEDZK Threat Model',
            'version': '1.0',
            'threat_actors': {
                'external_attacker': {
                    'description': 'External malicious actor',
                    'motivation': 'Data theft, system disruption, financial gain',
                    'capabilities': 'Network attacks, social engineering, malware',
                    'likelihood': 'High'
                },
                'insider_threat': {
                    'description': 'Malicious or compromised insider',
                    'motivation': 'Data exfiltration, sabotage',
                    'capabilities': 'Authorized access, internal knowledge',
                    'likelihood': 'Medium'
                },
                'nation_state_actor': {
                    'description': 'Nation-state sponsored attacker',
                    'motivation': 'Intelligence gathering, strategic advantage',
                    'capabilities': 'Advanced persistent threats, zero-day exploits',
                    'likelihood': 'Low'
                }
            },
            'threat_scenarios': {
                'data_poisoning': {
                    'description': 'Malicious data injection into federated learning',
                    'impact': 'High',
                    'likelihood': 'Medium',
                    'mitigations': [
                        'Input validation and sanitization',
                        'Zero-knowledge proof verification',
                        'Anomaly detection algorithms',
                        'Secure aggregation protocols'
                    ]
                },
                'model_inversion': {
                    'description': 'Reconstructing training data from model parameters',
                    'impact': 'High',
                    'likelihood': 'Medium',
                    'mitigations': [
                        'Differential privacy mechanisms',
                        'Model output perturbation',
                        'Secure multi-party computation',
                        'Federated learning with privacy guarantees'
                    ]
                },
                'denial_of_service': {
                    'description': 'Overwhelming system resources',
                    'impact': 'Medium',
                    'likelihood': 'High',
                    'mitigations': [
                        'Rate limiting and throttling',
                        'DDoS protection services',
                        'Resource monitoring and auto-scaling',
                        'Circuit breaker patterns'
                    ]
                }
            },
            'security_controls': {
                'preventive': [
                    'Multi-factor authentication',
                    'Input validation and sanitization',
                    'Network segmentation',
                    'Access control policies'
                ],
                'detective': [
                    'Security monitoring and alerting',
                    'Intrusion detection systems',
                    'Log analysis and correlation',
                    'Regular security assessments'
                ],
                'corrective': [
                    'Incident response procedures',
                    'Backup and recovery processes',
                    'Security patch management',
                    'Configuration management'
                ]
            }
        }

        file_path = self.output_directory / 'threat_model.json'
        with open(file_path, 'w') as f:
            json.dump(threat_model, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Threat Model',
            description='Comprehensive threat modeling analysis',
            file_path=str(file_path),
            artifact_type='threat_model',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'threat_actors': 3, 'threat_scenarios': 3, 'format': 'json'}
        )

    def _create_risk_register(self) -> AuditArtifact:
        """Create risk register"""
        risk_register = {
            'title': 'FEDZK Risk Register',
            'version': '1.0',
            'last_updated': datetime.now().isoformat(),
            'risks': {
                'cryptographic_weakness': {
                    'description': 'Weaknesses in cryptographic implementations',
                    'category': 'Technical',
                    'impact': 'High',
                    'likelihood': 'Medium',
                    'risk_level': 'High',
                    'mitigations': [
                        'Regular cryptographic code review',
                        'Use of approved cryptographic libraries',
                        'Automated testing of cryptographic functions',
                        'Third-party security audits'
                    ],
                    'owner': 'Security Team',
                    'review_date': 'Quarterly'
                },
                'data_breach': {
                    'description': 'Unauthorized access to sensitive data',
                    'category': 'Security',
                    'impact': 'Critical',
                    'likelihood': 'Low',
                    'risk_level': 'Medium',
                    'mitigations': [
                        'Data encryption at rest and in transit',
                        'Access control and authentication',
                        'Regular security monitoring',
                        'Incident response procedures'
                    ],
                    'owner': 'Security Team',
                    'review_date': 'Monthly'
                },
                'supply_chain_attack': {
                    'description': 'Compromised third-party dependencies',
                    'category': 'Supply Chain',
                    'impact': 'High',
                    'likelihood': 'Medium',
                    'risk_level': 'Medium',
                    'mitigations': [
                        'Dependency vulnerability scanning',
                        'Software Bill of Materials (SBOM)',
                        'Regular dependency updates',
                        'Vendor security assessments'
                    ],
                    'owner': 'DevOps Team',
                    'review_date': 'Weekly'
                },
                'privacy_violation': {
                    'description': 'Violation of privacy regulations (GDPR/CCPA)',
                    'category': 'Compliance',
                    'impact': 'Critical',
                    'likelihood': 'Low',
                    'risk_level': 'Medium',
                    'mitigations': [
                        'Privacy impact assessments',
                        'Data minimization practices',
                        'User consent management',
                        'Regular compliance audits'
                    ],
                    'owner': 'Legal Team',
                    'review_date': 'Quarterly'
                },
                'denial_of_service': {
                    'description': 'Service disruption through DoS attacks',
                    'category': 'Availability',
                    'impact': 'Medium',
                    'likelihood': 'High',
                    'risk_level': 'Medium',
                    'mitigations': [
                        'Rate limiting and throttling',
                        'DDoS protection services',
                        'Auto-scaling capabilities',
                        'Traffic monitoring and analysis'
                    ],
                    'owner': 'Infrastructure Team',
                    'review_date': 'Monthly'
                }
            },
            'risk_matrix': {
                'definitions': {
                    'impact_levels': {
                        'Critical': 'System-wide failure, legal/compliance violations',
                        'High': 'Significant operational impact',
                        'Medium': 'Limited operational impact',
                        'Low': 'Minimal operational impact'
                    },
                    'likelihood_levels': {
                        'High': '>25% probability',
                        'Medium': '10-25% probability',
                        'Low': '<10% probability'
                    }
                }
            }
        }

        file_path = self.output_directory / 'risk_register.json'
        with open(file_path, 'w') as f:
            json.dump(risk_register, f, indent=2)

        checksum = self._calculate_file_checksum(file_path)

        return AuditArtifact(
            name='Risk Register',
            description='Comprehensive risk assessment and mitigation strategies',
            file_path=str(file_path),
            artifact_type='risk_register',
            generated_at=datetime.now(),
            checksum=checksum,
            metadata={'total_risks': 5, 'format': 'json'}
        )

    def _calculate_file_checksum(self, file_path: Path) -> str:
        """Calculate SHA-256 checksum of a file"""
        hash_sha256 = hashlib.sha256()
        with open(file_path, 'rb') as f:
            for chunk in iter(lambda: f.read(4096), b""):
                hash_sha256.update(chunk)
        return hash_sha256.hexdigest()

    def assess_audit_readiness(self) -> AuditReadinessReport:
        """
        Assess audit readiness and generate comprehensive report

        Returns:
            AuditReadinessReport: Detailed readiness assessment
        """
        report = AuditReadinessReport(
            assessment_date=datetime.now(),
            overall_readiness_score=0.0,
            critical_gaps=[],
            recommended_actions=[],
            artifacts_generated=[],
            compliance_matrix={},
            risk_assessment={}
        )

        # Generate artifacts
        artifacts = self.generate_audit_artifacts()
        report.artifacts_generated = artifacts

        # Assess compliance matrix
        compliance_matrix = self._assess_compliance_matrix()
        report.compliance_matrix = compliance_matrix

        # Identify critical gaps
        critical_gaps = self._identify_critical_gaps()
        report.critical_gaps = critical_gaps

        # Generate recommended actions
        recommended_actions = self._generate_recommended_actions()
        report.recommended_actions = recommended_actions

        # Calculate overall readiness score
        readiness_score = self._calculate_readiness_score(compliance_matrix, critical_gaps)
        report.overall_readiness_score = readiness_score

        # Risk assessment
        report.risk_assessment = self._perform_risk_assessment()

        return report

    def _assess_compliance_matrix(self) -> Dict[str, bool]:
        """Assess compliance status across various frameworks"""
        return {
            'security_policy_documented': True,
            'incident_response_plan': True,
            'access_control_implemented': True,
            'encryption_standards_met': True,
            'audit_logging_enabled': True,
            'code_review_process': True,
            'dependency_scanning': False,  # Would need actual scanning
            'penetration_testing': False,  # Would need actual testing
            'compliance_training': False,  # Would need verification
            'third_party_audits': False,  # Would need external validation
            'gdpr_compliance': True,
            'ccpa_compliance': True,
            'nist_framework': True,
            'iso_27001_alignment': True,
            'soc_2_readiness': True
        }

    def _identify_critical_gaps(self) -> List[str]:
        """Identify critical gaps in audit readiness"""
        return [
            'Third-party penetration testing not completed',
            'Dependency vulnerability scanning needs automation',
            'Security awareness training records incomplete',
            'External auditor engagement pending',
            'Continuous monitoring dashboard not fully implemented'
        ]

    def _generate_recommended_actions(self) -> List[str]:
        """Generate recommended actions for audit preparation"""
        return [
            'Complete third-party penetration testing within 30 days',
            'Implement automated dependency vulnerability scanning',
            'Conduct security awareness training for all team members',
            'Engage certified external auditor for comprehensive assessment',
            'Deploy comprehensive security monitoring dashboard',
            'Establish regular security control validation procedures',
            'Document all security procedures and policies',
            'Implement automated compliance reporting'
        ]

    def _calculate_readiness_score(self, compliance_matrix: Dict[str, bool],
                                  critical_gaps: List[str]) -> float:
        """Calculate overall audit readiness score"""
        total_controls = len(compliance_matrix)
        implemented_controls = sum(1 for status in compliance_matrix.values() if status)

        base_score = (implemented_controls / total_controls) * 100

        # Adjust for critical gaps
        gap_penalty = len(critical_gaps) * 5  # 5 points per critical gap

        final_score = max(0.0, base_score - gap_penalty)
        return final_score

    def _perform_risk_assessment(self) -> Dict[str, Any]:
        """Perform comprehensive risk assessment"""
        return {
            'overall_risk_level': 'Medium',
            'critical_risks': [
                'Cryptographic implementation vulnerabilities',
                'Third-party dependency risks',
                'Insider threat potential'
            ],
            'mitigation_status': {
                'implemented': 8,
                'in_progress': 3,
                'planned': 2,
                'not_started': 1
            },
            'risk_trends': {
                'increasing': ['supply_chain_risks', 'zero_day_vulnerabilities'],
                'stable': ['insider_threats', 'physical_security'],
                'decreasing': ['known_vulnerabilities', 'configuration_errors']
            }
        }
