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import pandas as pd
import numpy as np
from datetime import datetime, timedelta
import json

class SpecializedTrainingManagement:
    def __init__(self):
        self.training_programs = {}
        self.courses = {}
        self.certifications = {}
        self.students = {}
        self.enrollments = {}
        self.assessments = {}
        self.career_paths = {}
    
    def create_training_program(self, program_id, program_config):
        """Crear programa de formación especializada"""
        self.training_programs[program_id] = {
            'program_id': program_id,
            'name': program_config['name'],
            'description': program_config['description'],
            'target_role': program_config['target_role'],
            'skill_level': program_config.get('skill_level', 'intermediate'),
            'duration_weeks': program_config.get('duration_weeks', 12),
            'delivery_method': program_config.get('delivery_method', 'blended'),
            'prerequisites': program_config.get('prerequisites', []),
            'learning_objectives': program_config.get('learning_objectives', []),
            'curriculum': program_config.get('curriculum', []),
            'certification_path': program_config.get('certification_path', []),
            'instructors': program_config.get('instructors', []),
            'max_students': program_config.get('max_students', 20),
            'status': 'active',
            'created_date': datetime.now()
        }
    
    def create_course(self, course_id, course_config):
        """Crear curso especializado"""
        self.courses[course_id] = {
            'course_id': course_id,
            'title': course_config['title'],
            'description': course_config['description'],
            'category': course_config['category'],
            'skill_level': course_config.get('skill_level', 'intermediate'),
            'duration_hours': course_config.get('duration_hours', 40),
            'delivery_method': course_config.get('delivery_method', 'in_person'),
            'instructor': course_config.get('instructor'),
            'learning_objectives': course_config.get('learning_objectives', []),
            'syllabus': course_config.get('syllabus', []),
            'hands_on_labs': course_config.get('hands_on_labs', []),
            'assessment_methods': course_config.get('assessment_methods', []),
            'certification_credits': course_config.get('certification_credits', 0),
            'prerequisites': course_config.get('prerequisites', []),
            'created_date': datetime.now()
        }
    
    def create_certification_program(self, cert_id, cert_config):
        """Crear programa de certificación"""
        self.certifications[cert_id] = {
            'cert_id': cert_id,
            'name': cert_config['name'],
            'issuing_body': cert_config['issuing_body'],
            'category': cert_config['category'],
            'skill_level': cert_config.get('skill_level', 'intermediate'),
            'validity_years': cert_config.get('validity_years', 3),
            'exam_requirements': cert_config.get('exam_requirements', []),
            'experience_requirements': cert_config.get('experience_requirements', []),
            'continuing_education': cert_config.get('continuing_education', 0),
            'cost': cert_config.get('cost', 0),
            'recognition_level': cert_config.get('recognition_level', 'professional'),
            'created_date': datetime.now()
        }
    
    def register_student(self, student_id, student_data):
        """Registrar estudiante"""
        self.students[student_id] = {
            'student_id': student_id,
            'name': student_data['name'],
            'email': student_data['email'],
            'current_role': student_data.get('current_role', 'unknown'),
            'target_role': student_data.get('target_role', 'unknown'),
            'experience_years': student_data.get('experience_years', 0),
            'current_certifications': student_data.get('current_certifications', []),
            'skill_assessment': student_data.get('skill_assessment', {}),
            'learning_preferences': student_data.get('learning_preferences', []),
            'enrollment_date': datetime.now(),
            'status': 'active'
        }
    
    def enroll_student(self, enrollment_id, enrollment_data):
        """Inscribir estudiante en programa"""
        self.enrollments[enrollment_id] = {
            'enrollment_id': enrollment_id,
            'student_id': enrollment_data['student_id'],
            'program_id': enrollment_data.get('program_id'),
            'course_id': enrollment_data.get('course_id'),
            'cert_id': enrollment_data.get('cert_id'),
            'enrollment_date': datetime.now(),
            'start_date': enrollment_data.get('start_date'),
            'end_date': enrollment_data.get('end_date'),
            'status': 'enrolled',
            'progress': 0,
            'completion_date': None,
            'final_grade': None,
            'certificate_issued': False
        }
    
    def conduct_assessment(self, assessment_id, assessment_data):
        """Realizar evaluación de estudiante"""
        self.assessments[assessment_id] = {
            'assessment_id': assessment_id,
            'student_id': assessment_data['student_id'],
            'enrollment_id': assessment_data['enrollment_id'],
            'assessment_type': assessment_data['assessment_type'],
            'questions': assessment_data['questions'],
            'answers': assessment_data['answers'],
            'score': assessment_data['score'],
            'max_score': assessment_data['max_score'],
            'percentage': (assessment_data['score'] / assessment_data['max_score'] * 100) if assessment_data['max_score'] > 0 else 0,
            'passing_threshold': assessment_data.get('passing_threshold', 70),
            'passed': assessment_data['score'] >= (assessment_data['max_score'] * assessment_data.get('passing_threshold', 70) / 100),
            'assessment_date': datetime.now(),
            'time_taken_minutes': assessment_data.get('time_taken_minutes', 0),
            'feedback': assessment_data.get('feedback', '')
        }
        
        # Actualizar progreso del estudiante
        self.update_student_progress(assessment_data['student_id'], assessment_data['enrollment_id'])
        
        return True
    
    def update_student_progress(self, student_id, enrollment_id):
        """Actualizar progreso del estudiante"""
        if enrollment_id not in self.enrollments:
            return False
        
        enrollment = self.enrollments[enrollment_id]
        
        # Obtener todas las evaluaciones del estudiante para este enrollment
        student_assessments = [
            a for a in self.assessments.values()
            if a['student_id'] == student_id and a['enrollment_id'] == enrollment_id
        ]
        
        if not student_assessments:
            return False
        
        # Calcular progreso basado en evaluaciones completadas
        total_assessments = len(student_assessments)
        passed_assessments = len([a for a in student_assessments if a['passed']])
        
        # Calcular progreso porcentual
        if enrollment.get('program_id'):
            # Para programas, calcular basado en cursos completados
            program = self.training_programs[enrollment['program_id']]
            total_courses = len(program.get('curriculum', []))
            progress = (passed_assessments / total_courses * 100) if total_courses > 0 else 0
        else:
            # Para cursos individuales, calcular basado en evaluaciones
            progress = (passed_assessments / total_assessments * 100) if total_assessments > 0 else 0
        
        enrollment['progress'] = min(progress, 100)
        
        # Verificar si está completo
        if enrollment['progress'] >= 100:
            enrollment['status'] = 'completed'
            enrollment['completion_date'] = datetime.now()
            enrollment['certificate_issued'] = True
        
        return True
    
    def create_career_path(self, path_id, path_config):
        """Crear ruta de carrera"""
        self.career_paths[path_id] = {
            'path_id': path_id,
            'name': path_config['name'],
            'description': path_config['description'],
            'target_role': path_config['target_role'],
            'entry_level': path_config.get('entry_level', 'beginner'),
            'target_level': path_config.get('target_level', 'expert'),
            'stages': path_config.get('stages', []),
            'required_courses': path_config.get('required_courses', []),
            'required_certifications': path_config.get('required_certifications', []),
            'experience_requirements': path_config.get('experience_requirements', []),
            'estimated_duration_months': path_config.get('estimated_duration_months', 24),
            'created_date': datetime.now()
        }
    
    def assess_student_readiness(self, student_id, target_role):
        """Evaluar preparación del estudiante para un rol"""
        if student_id not in self.students:
            return None
        
        student = self.students[student_id]
        
        # Obtener evaluaciones del estudiante
        student_assessments = [a for a in self.assessments.values() if a['student_id'] == student_id]
        
        if not student_assessments:
            return None
        
        # Calcular métricas de rendimiento
        total_assessments = len(student_assessments)
        passed_assessments = len([a for a in student_assessments if a['passed']])
        avg_score = sum(a['percentage'] for a in student_assessments) / total_assessments if total_assessments > 0 else 0
        
        # Evaluar preparación basada en métricas
        readiness_score = 0
        
        # Factor de rendimiento académico
        if avg_score >= 90:
            readiness_score += 40
        elif avg_score >= 80:
            readiness_score += 30
        elif avg_score >= 70:
            readiness_score += 20
        else:
            readiness_score += 10
        
        # Factor de experiencia
        experience_years = student.get('experience_years', 0)
        if experience_years >= 5:
            readiness_score += 30
        elif experience_years >= 3:
            readiness_score += 20
        elif experience_years >= 1:
            readiness_score += 10
        
        # Factor de certificaciones
        current_certs = len(student.get('current_certifications', []))
        if current_certs >= 3:
            readiness_score += 20
        elif current_certs >= 2:
            readiness_score += 15
        elif current_certs >= 1:
            readiness_score += 10
        
        # Factor de progreso en formación
        student_enrollments = [e for e in self.enrollments.values() if e['student_id'] == student_id]
        if student_enrollments:
            avg_progress = sum(e['progress'] for e in student_enrollments) / len(student_enrollments)
            readiness_score += (avg_progress / 100) * 10
        
        # Determinar nivel de preparación
        if readiness_score >= 80:
            readiness_level = 'ready'
        elif readiness_score >= 60:
            readiness_level = 'almost_ready'
        elif readiness_score >= 40:
            readiness_level = 'needs_development'
        else:
            readiness_level = 'not_ready'
        
        # Generar recomendaciones
        recommendations = self.generate_readiness_recommendations(readiness_score, student, target_role)
        
        assessment = {
            'student_id': student_id,
            'target_role': target_role,
            'readiness_score': readiness_score,
            'readiness_level': readiness_level,
            'performance_metrics': {
                'avg_score': avg_score,
                'passed_assessments': passed_assessments,
                'total_assessments': total_assessments,
                'experience_years': experience_years,
                'certifications': current_certs
            },
            'recommendations': recommendations,
            'assessment_date': datetime.now()
        }
        
        return assessment
    
    def generate_readiness_recommendations(self, readiness_score, student, target_role):
        """Generar recomendaciones de preparación"""
        recommendations = []
        
        if readiness_score < 40:
            recommendations.append({
                'type': 'foundational_training',
                'priority': 'high',
                'description': 'Completar entrenamiento fundamental en ciberseguridad',
                'actions': ['Basic security concepts', 'Network security fundamentals', 'Incident response basics']
            })
        
        if readiness_score < 60:
            recommendations.append({
                'type': 'skill_development',
                'priority': 'medium',
                'description': 'Desarrollar habilidades específicas para el rol objetivo',
                'actions': ['Role-specific training', 'Hands-on labs', 'Mentoring program']
            })
        
        if readiness_score < 80:
            recommendations.append({
                'type': 'certification',
                'priority': 'medium',
                'description': 'Obtener certificaciones relevantes para el rol',
                'actions': ['Study for relevant certifications', 'Take practice exams', 'Join study groups']
            })
        
        if readiness_score >= 80:
            recommendations.append({
                'type': 'maintenance',
                'priority': 'low',
                'description': 'Mantener y actualizar conocimientos existentes',
                'actions': ['Continuing education', 'Stay updated with latest threats', 'Mentor others']
            })
        
        return recommendations
    
    def generate_training_report(self, program_id=None, student_id=None):
        """Generar reporte de formación"""
        report = {
            'report_date': datetime.now(),
            'program_metrics': {},
            'student_metrics': {},
            'certification_metrics': {},
            'recommendations': []
        }
        
        if program_id:
            # Reporte específico de programa
            program = self.training_programs[program_id]
            program_enrollments = [e for e in self.enrollments.values() if e['program_id'] == program_id]
            
            total_enrollments = len(program_enrollments)
            completed_enrollments = len([e for e in program_enrollments if e['status'] == 'completed'])
            avg_progress = sum(e['progress'] for e in program_enrollments) / total_enrollments if total_enrollments > 0 else 0
            
            report['program_metrics'] = {
                'program_name': program['name'],
                'total_enrollments': total_enrollments,
                'completed_enrollments': completed_enrollments,
                'completion_rate': (completed_enrollments / total_enrollments * 100) if total_enrollments > 0 else 0,
                'avg_progress': avg_progress
            }
        
        if student_id:
            # Reporte específico de estudiante
            student = self.students[student_id]
            student_enrollments = [e for e in self.enrollments.values() if e['student_id'] == student_id]
            student_assessments = [a for a in self.assessments.values() if a['student_id'] == student_id]
            
            total_courses = len(student_enrollments)
            completed_courses = len([e for e in student_enrollments if e['status'] == 'completed'])
            avg_score = sum(a['percentage'] for a in student_assessments) / len(student_assessments) if student_assessments else 0
            
            report['student_metrics'] = {
                'student_name': student['name'],
                'total_courses': total_courses,
                'completed_courses': completed_courses,
                'completion_rate': (completed_courses / total_courses * 100) if total_courses > 0 else 0,
                'avg_score': avg_score,
                'current_certifications': student.get('current_certifications', [])
            }
        
        # Métricas generales de certificaciones
        total_certifications = len(self.certifications)
        active_certifications = len([c for c in self.certifications.values() if c.get('status') == 'active'])
        
        report['certification_metrics'] = {
            'total_certifications': total_certifications,
            'active_certifications': active_certifications
        }
        
        return report

# Ejemplo de uso
training_mgmt = SpecializedTrainingManagement()

# Crear programa de formación
training_mgmt.create_training_program('PROG-001', {
    'name': 'Advanced Security Analyst Program',
    'description': 'Programa avanzado para analistas de seguridad',
    'target_role': 'security_analyst',
    'skill_level': 'advanced',
    'duration_weeks': 16,
    'delivery_method': 'blended',
    'prerequisites': ['Basic security knowledge', 'Network fundamentals'],
    'learning_objectives': [
        'Advanced threat analysis',
        'Incident response procedures',
        'Security tool mastery'
    ],
    'curriculum': ['COURSE-001', 'COURSE-002', 'COURSE-003']
})

# Crear curso especializado
training_mgmt.create_course('COURSE-001', {
    'title': 'Advanced Threat Analysis',
    'description': 'Análisis avanzado de amenazas de seguridad',
    'category': 'threat_analysis',
    'skill_level': 'advanced',
    'duration_hours': 40,
    'delivery_method': 'in_person',
    'instructor': 'Dr. Security Expert',
    'learning_objectives': [
        'Identify advanced persistent threats',
        'Analyze malware behavior',
        'Correlate security events'
    ],
    'hands_on_labs': ['Malware analysis lab', 'Threat hunting lab'],
    'certification_credits': 20
})

# Registrar estudiante
training_mgmt.register_student('STU-001', {
    'name': 'Alice Johnson',
    'email': 'alice.johnson@company.com',
    'current_role': 'junior_analyst',
    'target_role': 'senior_analyst',
    'experience_years': 2,
    'current_certifications': ['Security+'],
    'learning_preferences': ['hands_on', 'lab_based']
})

# Inscribir estudiante
training_mgmt.enroll_student('ENR-001', {
    'student_id': 'STU-001',
    'program_id': 'PROG-001',
    'start_date': datetime.now(),
    'end_date': datetime.now() + timedelta(weeks=16)
})

# Realizar evaluación
training_mgmt.conduct_assessment('ASSESS-001', {
    'student_id': 'STU-001',
    'enrollment_id': 'ENR-001',
    'assessment_type': 'midterm',
    'questions': 20,
    'answers': 18,
    'score': 18,
    'max_score': 20,
    'passing_threshold': 70,
    'time_taken_minutes': 45
})

# Evaluar preparación
readiness = training_mgmt.assess_student_readiness('STU-001', 'senior_analyst')
print(f"Preparación del estudiante: {readiness['readiness_level']}")
print(f"Score de preparación: {readiness['readiness_score']}")

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class CertificationManagement:
    def __init__(self):
        self.certification_tracking = {}
        self.continuing_education = {}
        self.renewal_alerts = {}
        self.certification_paths = {}
    
    def track_certification(self, cert_id, student_id, certification_data):
        """Rastrear certificación de estudiante"""
        tracking_id = f"TRACK-{len(self.certification_tracking) + 1}"
        
        self.certification_tracking[tracking_id] = {
            'tracking_id': tracking_id,
            'cert_id': cert_id,
            'student_id': student_id,
            'certification_name': certification_data['certification_name'],
            'issuing_body': certification_data['issuing_body'],
            'issue_date': certification_data['issue_date'],
            'expiry_date': certification_data['expiry_date'],
            'certification_number': certification_data.get('certification_number'),
            'status': 'active',
            'verification_url': certification_data.get('verification_url'),
            'continuing_education_required': certification_data.get('continuing_education_required', 0),
            'continuing_education_completed': 0,
            'renewal_reminder_sent': False,
            'created_date': datetime.now()
        }
        
        return tracking_id
    
    def add_continuing_education(self, tracking_id, ce_data):
        """Añadir educación continua"""
        if tracking_id not in self.certification_tracking:
            return False
        
        ce_id = f"CE-{len(self.continuing_education) + 1}"
        
        self.continuing_education[ce_id] = {
            'ce_id': ce_id,
            'tracking_id': tracking_id,
            'activity_name': ce_data['activity_name'],
            'provider': ce_data['provider'],
            'credits_earned': ce_data['credits_earned'],
            'completion_date': ce_data['completion_date'],
            'verification_document': ce_data.get('verification_document'),
            'status': 'completed',
            'created_date': datetime.now()
        }
        
        # Actualizar créditos completados
        tracking = self.certification_tracking[tracking_id]
        tracking['continuing_education_completed'] += ce_data['credits_earned']
        
        return True
    
    def check_renewal_requirements(self, tracking_id):
        """Verificar requisitos de renovación"""
        if tracking_id not in self.certification_tracking:
            return None
        
        tracking = self.certification_tracking[tracking_id]
        
        # Verificar si está cerca de expirar
        days_to_expiry = (tracking['expiry_date'] - datetime.now()).days
        
        renewal_status = {
            'tracking_id': tracking_id,
            'certification_name': tracking['certification_name'],
            'days_to_expiry': days_to_expiry,
            'expiry_date': tracking['expiry_date'],
            'continuing_education_required': tracking['continuing_education_required'],
            'continuing_education_completed': tracking['continuing_education_completed'],
            'ce_remaining': tracking['continuing_education_required'] - tracking['continuing_education_completed'],
            'renewal_status': 'current'
        }
        
        if days_to_expiry < 0:
            renewal_status['renewal_status'] = 'expired'
        elif days_to_expiry < 30:
            renewal_status['renewal_status'] = 'urgent'
        elif days_to_expiry < 90:
            renewal_status['renewal_status'] = 'due_soon'
        
        # Verificar requisitos de educación continua
        if tracking['continuing_education_required'] > 0:
            ce_remaining = tracking['continuing_education_required'] - tracking['continuing_education_completed']
            if ce_remaining > 0:
                renewal_status['ce_status'] = 'incomplete'
            else:
                renewal_status['ce_status'] = 'complete'
        else:
            renewal_status['ce_status'] = 'not_required'
        
        return renewal_status
    
    def generate_renewal_alerts(self):
        """Generar alertas de renovación"""
        alerts = []
        
        for tracking_id, tracking in self.certification_tracking.items():
            renewal_status = self.check_renewal_requirements(tracking_id)
            
            if renewal_status['renewal_status'] in ['urgent', 'expired']:
                alerts.append({
                    'alert_id': f"ALERT-{len(alerts) + 1}",
                    'tracking_id': tracking_id,
                    'student_id': tracking['student_id'],
                    'certification_name': tracking['certification_name'],
                    'alert_type': 'renewal_urgent',
                    'priority': 'high',
                    'message': f"Certificación {tracking['certification_name']} expira en {renewal_status['days_to_expiry']} días",
                    'created_date': datetime.now()
                })
            
            if renewal_status['ce_status'] == 'incomplete' and renewal_status['days_to_expiry'] < 60:
                alerts.append({
                    'alert_id': f"ALERT-{len(alerts) + 1}",
                    'tracking_id': tracking_id,
                    'student_id': tracking['student_id'],
                    'certification_name': tracking['certification_name'],
                    'alert_type': 'continuing_education',
                    'priority': 'medium',
                    'message': f"Faltan {renewal_status['ce_remaining']} créditos de educación continua para {tracking['certification_name']}",
                    'created_date': datetime.now()
                })
        
        return alerts
    
    def create_certification_path(self, path_id, path_config):
        """Crear ruta de certificación"""
        self.certification_paths[path_id] = {
            'path_id': path_id,
            'name': path_config['name'],
            'description': path_config['description'],
            'target_role': path_config['target_role'],
            'certifications': path_config['certifications'],
            'prerequisites': path_config.get('prerequisites', []),
            'recommended_order': path_config.get('recommended_order', []),
            'estimated_duration_months': path_config.get('estimated_duration_months', 12),
            'total_cost': path_config.get('total_cost', 0),
            'created_date': datetime.now()
        }
    
    def recommend_certification_path(self, student_id, target_role):
        """Recomendar ruta de certificación"""
        if student_id not in self.students:
            return None
        
        student = self.students[student_id]
        current_certs = student.get('current_certifications', [])
        experience_years = student.get('experience_years', 0)
        
        # Buscar rutas relevantes
        relevant_paths = [
            path for path in self.certification_paths.values()
            if path['target_role'] == target_role
        ]
        
        if not relevant_paths:
            return None
        
        # Evaluar cada ruta
        path_recommendations = []
        
        for path in relevant_paths:
            # Calcular compatibilidad
            compatibility_score = 0
            
            # Factor de experiencia
            if experience_years >= 5:
                compatibility_score += 30
            elif experience_years >= 3:
                compatibility_score += 20
            elif experience_years >= 1:
                compatibility_score += 10
            
            # Factor de certificaciones existentes
            existing_certs = len([cert for cert in current_certs if cert in path['certifications']])
            compatibility_score += existing_certs * 15
            
            # Factor de prerrequisitos
            prerequisites_met = len([req for req in path['prerequisites'] if req in current_certs])
            if path['prerequisites']:
                compatibility_score += (prerequisites_met / len(path['prerequisites'])) * 25
            
            # Factor de duración
            if path['estimated_duration_months'] <= 6:
                compatibility_score += 15
            elif path['estimated_duration_months'] <= 12:
                compatibility_score += 10
            
            path_recommendations.append({
                'path_id': path['path_id'],
                'path_name': path['name'],
                'compatibility_score': compatibility_score,
                'certifications_needed': [cert for cert in path['certifications'] if cert not in current_certs],
                'estimated_duration': path['estimated_duration_months'],
                'total_cost': path['total_cost']
            })
        
        # Ordenar por compatibilidad
        path_recommendations.sort(key=lambda x: x['compatibility_score'], reverse=True)
        
        return {
            'student_id': student_id,
            'target_role': target_role,
            'recommendations': path_recommendations,
            'generated_date': datetime.now()
        }

# Ejemplo de uso
cert_mgmt = CertificationManagement()

# Rastrear certificación
tracking_id = cert_mgmt.track_certification('CISSP', 'STU-001', {
    'certification_name': 'CISSP',
    'issuing_body': 'ISC2',
    'issue_date': datetime.now() - timedelta(days=365),
    'expiry_date': datetime.now() + timedelta(days=730),
    'certification_number': 'CISSP123456',
    'continuing_education_required': 40
})

# Añadir educación continua
cert_mgmt.add_continuing_education(tracking_id, {
    'activity_name': 'Security Conference 2025',
    'provider': 'Security Institute',
    'credits_earned': 8,
    'completion_date': datetime.now() - timedelta(days=30)
})

# Verificar requisitos de renovación
renewal_status = cert_mgmt.check_renewal_requirements(tracking_id)
print(f"Estado de renovación: {renewal_status['renewal_status']}")
print(f"Créditos restantes: {renewal_status['ce_remaining']}")

# Generar alertas
alerts = cert_mgmt.generate_renewal_alerts()
print(f"Alertas generadas: {len(alerts)}")