Intelligent Educational Progress Tracking System

AI-powered learning analytics with predictive intervention and personalized learning paths

import { cronflow } from 'cronflow';
import express from 'express';
import { z } from 'zod';

const app = express();
app.use(express.json());

// Types for educational progress tracking
interface Student {
  id: string;
  name: string;
  grade: number;
  age: number;
  learningStyle: 'visual' | 'auditory' | 'kinesthetic' | 'reading';
  specialNeeds?: string[];
  parentEmails: string[];
  enrollmentDate: string;
  currentGPA: number;
  attendanceRate: number;
}

interface Assignment {
  id: string;
  title: string;
  subject: string;
  type: 'homework' | 'quiz' | 'test' | 'project' | 'participation';
  totalPoints: number;
  dueDate: string;
  difficultyLevel: 1 | 2 | 3 | 4 | 5;
  learningObjectives: string[];
  estimatedTimeMinutes: number;
}

interface Submission {
  id: string;
  studentId: string;
  assignmentId: string;
  submittedAt: string;
  score: number;
  maxScore: number;
  timeSpent?: number; // minutes
  attemptCount: number;
  feedback?: string;
  teacherNotes?: string;
  rubricScores?: Record<string, number>; // rubric criteria -> score
}

interface LearningAnalytics {
  studentId: string;
  subject: string;
  conceptMastery: Record<string, number>; // concept -> mastery percentage
  learningVelocity: number; // concepts mastered per week
  strugglingAreas: string[];
  strengthAreas: string[];
  engagementLevel: number; // 0-1 scale
  predictedGrade: string;
  riskLevel: 'low' | 'medium' | 'high';
  interventionRecommendations: string[];
}

interface PersonalizedPath {
  studentId: string;
  subject: string;
  nextRecommendations: Array<{
    type: 'review' | 'practice' | 'advanced' | 'remediation';
    content: string;
    estimatedTime: number;
    priority: 'high' | 'medium' | 'low';
    reason: string;
  }>;
  adaptiveStrategies: string[];
  preferredResources: string[];
}

interface InterventionAlert {
  studentId: string;
  alertType: 'academic' | 'attendance' | 'engagement' | 'behavioral';
  severity: 'low' | 'medium' | 'high' | 'critical';
  description: string;
  recommendedActions: string[];
  stakeholders: string[]; // who should be notified
  deadline?: string;
}

// Mock educational data services
async function getStudentProfile(studentId: string): Promise<Student> {
  console.log('👨‍🎓 Loading student profile for:', studentId);

  // Mock student data
  return {
    id: studentId,
    name: `Student ${studentId.slice(-3)}`,
    grade: 8,
    age: 14,
    learningStyle: 'visual',
    specialNeeds: ['ADHD'],
    parentEmails: ['parent1@example.com', 'parent2@example.com'],
    enrollmentDate: '2024-08-15T00:00:00Z',
    currentGPA: 3.2,
    attendanceRate: 0.85,
  };
}

async function getRecentSubmissions(
  studentId: string,
  days: number = 30
): Promise<Submission[]> {
  console.log(
    `📚 Fetching recent submissions for student ${studentId} (last ${days} days)`
  );

  // Mock submission data with realistic patterns
  const submissions: Submission[] = [];
  const subjects = ['Math', 'English', 'Science', 'History', 'Art'];
  const assignmentTypes = [
    'homework',
    'quiz',
    'test',
    'project',
    'participation',
  ] as const;

  for (let i = 0; i < 15; i++) {
    const daysAgo = Math.floor(Math.random() * days);
    const subject = subjects[Math.floor(Math.random() * subjects.length)];
    const type =
      assignmentTypes[Math.floor(Math.random() * assignmentTypes.length)];

    // Simulate performance patterns based on subject and type
    let baseScore = 0.7; // 70% base performance
    if (subject === 'Math') baseScore = 0.6; // Struggling with math
    if (subject === 'Art') baseScore = 0.9; // Strong in art
    if (type === 'test') baseScore -= 0.1; // Tests are harder

    const randomVariation = (Math.random() - 0.5) * 0.3;
    const scorePercentage = Math.max(
      0.3,
      Math.min(1.0, baseScore + randomVariation)
    );

    submissions.push({
      id: `sub_${i}`,
      studentId,
      assignmentId: `assign_${subject}_${i}`,
      submittedAt: new Date(
        Date.now() - daysAgo * 24 * 60 * 60 * 1000
      ).toISOString(),
      score: Math.round(scorePercentage * 100),
      maxScore: 100,
      timeSpent: Math.floor(Math.random() * 120) + 30, // 30-150 minutes
      attemptCount: Math.floor(Math.random() * 3) + 1,
      feedback:
        scorePercentage < 0.7
          ? 'Needs improvement in key concepts'
          : 'Good work!',
      rubricScores: {
        Understanding: Math.round(scorePercentage * 100),
        Application: Math.round(
          (scorePercentage + (Math.random() - 0.5) * 0.2) * 100
        ),
        Communication: Math.round(
          (scorePercentage + (Math.random() - 0.5) * 0.15) * 100
        ),
      },
    });
  }

  return submissions.sort(
    (a, b) =>
      new Date(b.submittedAt).getTime() - new Date(a.submittedAt).getTime()
  );
}

async function analyzeLearningPatterns(
  student: Student,
  submissions: Submission[]
): Promise<LearningAnalytics> {
  console.log('🔍 Analyzing learning patterns and performance trends...');

  // Group submissions by subject
  const subjectGroups = submissions.reduce(
    (groups, sub) => {
      const subject = sub.assignmentId.split('_')[1]; // Extract subject from assignment ID
      if (!groups[subject]) groups[subject] = [];
      groups[subject].push(sub);
      return groups;
    },
    {} as Record<string, Submission[]>
  );

  const analytics: Record<string, LearningAnalytics> = {};

  for (const [subject, subs] of Object.entries(subjectGroups)) {
    const avgScore =
      subs.reduce((sum, s) => sum + s.score / s.maxScore, 0) / subs.length;
    const recentScores = subs.slice(0, 5).map(s => s.score / s.maxScore);
    const earlierScores = subs.slice(-5).map(s => s.score / s.maxScore);

    // Calculate learning velocity (improvement over time)
    const recentAvg =
      recentScores.reduce((sum, s) => sum + s, 0) / recentScores.length;
    const earlierAvg =
      earlierScores.reduce((sum, s) => sum + s, 0) / earlierScores.length;
    const learningVelocity = (recentAvg - earlierAvg) * 100; // percentage change

    // Identify struggling and strength areas
    const conceptScores = subs.reduce(
      (concepts, sub) => {
        if (sub.rubricScores) {
          Object.entries(sub.rubricScores).forEach(([concept, score]) => {
            if (!concepts[concept]) concepts[concept] = [];
            concepts[concept].push(score / 100);
          });
        }
        return concepts;
      },
      {} as Record<string, number[]>
    );

    const conceptMastery = Object.entries(conceptScores).reduce(
      (mastery, [concept, scores]) => {
        mastery[concept] =
          (scores.reduce((sum, s) => sum + s, 0) / scores.length) * 100;
        return mastery;
      },
      {} as Record<string, number>
    );

    const strugglingAreas = Object.entries(conceptMastery)
      .filter(([_, score]) => score < 70)
      .map(([concept, _]) => concept);

    const strengthAreas = Object.entries(conceptMastery)
      .filter(([_, score]) => score > 85)
      .map(([concept, _]) => concept);

    // Calculate engagement level based on time spent and attempt patterns
    const avgTimeSpent =
      subs.filter(s => s.timeSpent).reduce((sum, s) => sum + s.timeSpent!, 0) /
      subs.filter(s => s.timeSpent).length;
    const avgAttempts =
      subs.reduce((sum, s) => sum + s.attemptCount, 0) / subs.length;
    const engagementLevel = Math.min(
      1,
      (avgTimeSpent / 60) * (avgAttempts / 2) * avgScore
    ); // Normalized engagement

    // Predict grade and risk level
    let predictedGrade = 'C';
    let riskLevel: 'low' | 'medium' | 'high' = 'medium';

    if (avgScore > 0.9) {
      predictedGrade = 'A';
      riskLevel = 'low';
    } else if (avgScore > 0.8) {
      predictedGrade = 'B';
      riskLevel = 'low';
    } else if (avgScore > 0.7) {
      predictedGrade = 'C';
      riskLevel = 'medium';
    } else if (avgScore > 0.6) {
      predictedGrade = 'D';
      riskLevel = 'high';
    } else {
      predictedGrade = 'F';
      riskLevel = 'high';
    }

    // Generate intervention recommendations
    const interventionRecommendations: string[] = [];
    if (strugglingAreas.length > 0) {
      interventionRecommendations.push(
        `Focus on ${strugglingAreas.join(', ')} concepts`
      );
    }
    if (learningVelocity < -5) {
      interventionRecommendations.push(
        'Consider additional tutoring or support'
      );
    }
    if (engagementLevel < 0.5) {
      interventionRecommendations.push(
        'Increase engagement through interactive activities'
      );
    }
    if (student.attendanceRate < 0.8) {
      interventionRecommendations.push(
        'Address attendance issues affecting performance'
      );
    }

    analytics[subject] = {
      studentId: student.id,
      subject,
      conceptMastery,
      learningVelocity,
      strugglingAreas,
      strengthAreas,
      engagementLevel,
      predictedGrade,
      riskLevel,
      interventionRecommendations,
    };
  }

  // Return analytics for the primary subject (Math for this example)
  return analytics['Math'] || Object.values(analytics)[0];
}

async function generatePersonalizedPath(
  student: Student,
  analytics: LearningAnalytics
): Promise<PersonalizedPath> {
  console.log('🎯 Generating personalized learning path...');

  const recommendations: Array<{
    type: 'review' | 'practice' | 'advanced' | 'remediation';
    content: string;
    estimatedTime: number;
    priority: 'high' | 'medium' | 'low';
    reason: string;
  }> = [];

  // Add remediation for struggling areas
  analytics.strugglingAreas.forEach(area => {
    recommendations.push({
      type: 'remediation' as const,
      content: `Review ${area} fundamentals with visual aids and practice problems`,
      estimatedTime: 45,
      priority: 'high' as const,
      reason: `Identified weakness in ${area} (${analytics.conceptMastery[area]?.toFixed(1)}% mastery)`,
    });
  });

  // Add practice for areas near mastery
  Object.entries(analytics.conceptMastery).forEach(([concept, mastery]) => {
    if (mastery >= 70 && mastery < 85) {
      recommendations.push({
        type: 'practice' as const,
        content: `Practice ${concept} with intermediate-level problems`,
        estimatedTime: 30,
        priority: 'medium' as const,
        reason: `Build confidence in ${concept} (${mastery.toFixed(1)}% mastery)`,
      });
    }
  });

  // Add advanced content for strength areas
  analytics.strengthAreas.forEach(area => {
    recommendations.push({
      type: 'advanced' as const,
      content: `Explore advanced ${area} concepts and real-world applications`,
      estimatedTime: 60,
      priority: 'low' as const,
      reason: `Strength area ready for enrichment (${analytics.conceptMastery[area]?.toFixed(1)}% mastery)`,
    });
  });

  // Adaptive strategies based on learning style and needs
  const adaptiveStrategies: string[] = [];
  if (student.learningStyle === 'visual') {
    adaptiveStrategies.push('Use diagrams, charts, and visual representations');
    adaptiveStrategies.push('Color-code different concepts and problem types');
  } else if (student.learningStyle === 'auditory') {
    adaptiveStrategies.push('Include video explanations and audio content');
    adaptiveStrategies.push('Encourage study groups and verbal explanations');
  } else if (student.learningStyle === 'kinesthetic') {
    adaptiveStrategies.push('Include hands-on activities and manipulatives');
    adaptiveStrategies.push('Break study into shorter, active sessions');
  }

  if (student.specialNeeds?.includes('ADHD')) {
    adaptiveStrategies.push('Provide frequent breaks and varied activities');
    adaptiveStrategies.push('Use timers and structured task lists');
  }

  // Preferred resources based on performance and engagement
  const preferredResources = [
    'Interactive practice problems',
    'Video tutorials matching learning style',
    'Peer collaboration opportunities',
    'Gamified learning modules',
  ];

  if (analytics.engagementLevel < 0.5) {
    preferredResources.unshift(
      'Engaging multimedia content',
      'Short-format lessons'
    );
  }

  return {
    studentId: student.id,
    subject: analytics.subject,
    nextRecommendations: recommendations.slice(0, 5), // Top 5 recommendations
    adaptiveStrategies,
    preferredResources,
  };
}

async function detectInterventionNeeds(
  student: Student,
  analytics: LearningAnalytics,
  submissions: Submission[]
): Promise<InterventionAlert[]> {
  console.log('🚨 Detecting intervention needs...');

  const alerts: InterventionAlert[] = [];

  // Academic performance alerts
  if (analytics.riskLevel === 'high') {
    alerts.push({
      studentId: student.id,
      alertType: 'academic',
      severity: 'high',
      description: `Student at risk of failing ${analytics.subject} (predicted grade: ${analytics.predictedGrade})`,
      recommendedActions: [
        'Schedule parent-teacher conference',
        'Implement intensive tutoring program',
        'Consider modified assignment schedule',
        ...analytics.interventionRecommendations,
      ],
      stakeholders: ['teacher', 'counselor', 'parents'],
      deadline: new Date(Date.now() + 7 * 24 * 60 * 60 * 1000).toISOString(), // 1 week
    });
  }

  // Attendance alerts
  if (student.attendanceRate < 0.8) {
    alerts.push({
      studentId: student.id,
      alertType: 'attendance',
      severity: student.attendanceRate < 0.7 ? 'high' : 'medium',
      description: `Poor attendance rate: ${(student.attendanceRate * 100).toFixed(1)}%`,
      recommendedActions: [
        'Contact parents about attendance concerns',
        'Investigate barriers to attendance',
        'Develop attendance improvement plan',
        'Consider flexible scheduling if appropriate',
      ],
      stakeholders: ['teacher', 'attendance_officer', 'parents'],
    });
  }

  // Engagement alerts
  if (analytics.engagementLevel < 0.3) {
    alerts.push({
      studentId: student.id,
      alertType: 'engagement',
      severity: 'medium',
      description: `Low engagement in ${analytics.subject} (${(analytics.engagementLevel * 100).toFixed(1)}%)`,
      recommendedActions: [
        'Explore alternative teaching methods',
        'Increase interactive activities',
        'Connect content to student interests',
        'Consider peer mentoring',
      ],
      stakeholders: ['teacher', 'counselor'],
    });
  }

  // Learning velocity alerts (declining performance)
  if (analytics.learningVelocity < -10) {
    alerts.push({
      studentId: student.id,
      alertType: 'academic',
      severity: 'medium',
      description: `Performance declining in ${analytics.subject} (${analytics.learningVelocity.toFixed(1)}% change)`,
      recommendedActions: [
        'Review recent teaching methods',
        'Check for external factors affecting performance',
        'Provide additional support in struggling areas',
        'Monitor closely for continued decline',
      ],
      stakeholders: ['teacher', 'counselor'],
    });
  }

  return alerts;
}

async function sendNotifications(
  type: string,
  data: any,
  recipients: string[]
): Promise<void> {
  console.log(`📧 Sending ${type} notifications to:`, recipients);
  console.log('Notification data:', JSON.stringify(data, null, 2));

  // In real implementation, integrate with email/SMS services
  // Could also integrate with school management systems, parent portals, etc.
}

async function updateStudentRecords(
  studentId: string,
  analytics: LearningAnalytics,
  personalizedPath: PersonalizedPath
): Promise<void> {
  console.log(`💾 Updating student records for ${studentId}`);

  // In real implementation, update student information system
  // Store analytics, learning paths, and intervention history
}

// Schema for education progress tracking
const progressTrackingSchema = z.object({
  studentId: z.string().min(1),
  submissionData: z
    .object({
      assignmentId: z.string(),
      score: z.number().min(0),
      maxScore: z.number().positive(),
      timeSpent: z.number().positive().optional(),
      submittedAt: z.string().datetime().optional(),
      feedback: z.string().optional(),
    })
    .optional(),
  forceAnalysis: z.boolean().default(false),
  analysisWindow: z.number().positive().default(30), // days
  notifyParents: z.boolean().default(true),
  generateReport: z.boolean().default(true),
});

// Define the educational progress tracking workflow
const educationTrackingWorkflow = cronflow.define({
  id: 'education-progress-tracking',
  name: 'Intelligent Educational Progress Tracking System',
  description:
    'AI-powered learning analytics with predictive intervention and personalized learning paths',
  hooks: {
    onSuccess: (ctx, stepId) => {
      if (!stepId) {
        console.log('🎉 Educational progress analysis completed successfully!');
        console.log(
          '📊 Analysis results:',
          JSON.stringify(ctx.last.summary, null, 2)
        );
      }
    },
    onFailure: (ctx, stepId) => {
      console.log(`❌ Educational progress tracking failed at step: ${stepId}`);
      console.log('Error:', ctx.step_error || ctx.error);
    },
  },
});

educationTrackingWorkflow
  // Step 1: Load student profile and recent submissions
  .step('load-student-data', async ctx => {
    console.log('📋 Loading student profile and academic history...');

    const student = await getStudentProfile(ctx.payload.studentId);
    const submissions = await getRecentSubmissions(
      ctx.payload.studentId,
      ctx.payload.analysisWindow
    );

    // If new submission data provided, add it to the analysis
    if (ctx.payload.submissionData) {
      const newSubmission: Submission = {
        id: `sub_${Date.now()}`,
        studentId: ctx.payload.studentId,
        assignmentId: ctx.payload.submissionData.assignmentId,
        submittedAt:
          ctx.payload.submissionData.submittedAt || new Date().toISOString(),
        score: ctx.payload.submissionData.score,
        maxScore: ctx.payload.submissionData.maxScore,
        timeSpent: ctx.payload.submissionData.timeSpent,
        attemptCount: 1,
        feedback: ctx.payload.submissionData.feedback,
      };

      submissions.unshift(newSubmission);
      console.log(
        `📝 Processing new submission: ${newSubmission.score}/${newSubmission.maxScore} points`
      );
    }

    console.log(`👨‍🎓 Student: ${student.name} (Grade ${student.grade})`);
    console.log(`📚 Analyzing ${submissions.length} recent submissions`);
    console.log(
      `📈 Current GPA: ${student.currentGPA}, Attendance: ${(student.attendanceRate * 100).toFixed(1)}%`
    );

    return { student, submissions };
  })

  // Step 2: Perform learning analytics
  .step('analyze-learning-patterns', async ctx => {
    console.log('🔍 Analyzing learning patterns and performance trends...');

    const analytics = await analyzeLearningPatterns(
      ctx.last.student,
      ctx.last.submissions
    );

    console.log(`📊 Subject: ${analytics.subject}`);
    console.log(`🎯 Predicted Grade: ${analytics.predictedGrade}`);
    console.log(`⚠️ Risk Level: ${analytics.riskLevel}`);
    console.log(
      `📈 Learning Velocity: ${analytics.learningVelocity.toFixed(1)}%`
    );
    console.log(
      `💡 Engagement Level: ${(analytics.engagementLevel * 100).toFixed(1)}%`
    );

    if (analytics.strugglingAreas.length > 0) {
      console.log(
        `🔍 Struggling Areas: ${analytics.strugglingAreas.join(', ')}`
      );
    }
    if (analytics.strengthAreas.length > 0) {
      console.log(`💪 Strength Areas: ${analytics.strengthAreas.join(', ')}`);
    }

    return {
      student: ctx.last.student,
      submissions: ctx.last.submissions,
      analytics,
    };
  })

  // Step 3: Generate personalized learning path
  .step('generate-personalized-path', async ctx => {
    console.log('🎯 Generating personalized learning path...');

    const personalizedPath = await generatePersonalizedPath(
      ctx.last.student,
      ctx.last.analytics
    );

    console.log(
      `📚 Generated ${personalizedPath.nextRecommendations.length} learning recommendations`
    );
    console.log(
      `🔧 Adaptive strategies: ${personalizedPath.adaptiveStrategies.length} strategies`
    );

    personalizedPath.nextRecommendations.forEach((rec, index) => {
      console.log(
        `  ${index + 1}. [${rec.priority.toUpperCase()}] ${rec.content} (${rec.estimatedTime}min)`
      );
      console.log(`     Reason: ${rec.reason}`);
    });

    return {
      student: ctx.last.student,
      submissions: ctx.last.submissions,
      analytics: ctx.last.analytics,
      personalizedPath,
    };
  })

  // Step 4: Detect intervention needs
  .step('detect-interventions', async ctx => {
    console.log('🚨 Detecting intervention needs...');

    const interventionAlerts = await detectInterventionNeeds(
      ctx.last.student,
      ctx.last.analytics,
      ctx.last.submissions
    );

    if (interventionAlerts.length > 0) {
      console.log(
        `⚠️ Generated ${interventionAlerts.length} intervention alerts:`
      );
      interventionAlerts.forEach((alert, index) => {
        console.log(
          `  ${index + 1}. [${alert.severity.toUpperCase()}] ${alert.alertType}: ${alert.description}`
        );
        console.log(`     Stakeholders: ${alert.stakeholders.join(', ')}`);
        if (alert.deadline) {
          console.log(
            `     Deadline: ${new Date(alert.deadline).toLocaleDateString()}`
          );
        }
      });
    } else {
      console.log('✅ No immediate interventions needed');
    }

    return {
      student: ctx.last.student,
      submissions: ctx.last.submissions,
      analytics: ctx.last.analytics,
      personalizedPath: ctx.last.personalizedPath,
      interventionAlerts,
    };
  })

  // Step 5: Update student records
  .step('update-records', async ctx => {
    console.log('💾 Updating student academic records...');

    await updateStudentRecords(
      ctx.last.student.id,
      ctx.last.analytics,
      ctx.last.personalizedPath
    );

    console.log('✅ Student records updated successfully');

    return {
      student: ctx.last.student,
      analytics: ctx.last.analytics,
      personalizedPath: ctx.last.personalizedPath,
      interventionAlerts: ctx.last.interventionAlerts,
      recordsUpdated: true,
    };
  })

  // Conditional: Send notifications if interventions are needed or parents should be notified
  .if(
    'needs-notifications',
    ctx =>
      ctx.payload.notifyParents ||
      ctx.last.interventionAlerts.length > 0 ||
      ctx.last.analytics.riskLevel === 'high'
  )

  // Parallel notification sending
  .parallel([
    // Notify parents
    async ctx => {
      if (ctx.payload.notifyParents) {
        console.log('👨‍👩‍👧‍👦 Sending parent notifications...');

        const parentNotification = {
          studentName: ctx.last.student.name,
          subject: ctx.last.analytics.subject,
          predictedGrade: ctx.last.analytics.predictedGrade,
          engagementLevel: ctx.last.analytics.engagementLevel,
          recommendations: ctx.last.personalizedPath.nextRecommendations.slice(
            0,
            3
          ),
          interventions: ctx.last.interventionAlerts.filter(a =>
            a.stakeholders.includes('parents')
          ),
        };

        await sendNotifications(
          'parent_update',
          parentNotification,
          ctx.last.student.parentEmails
        );
        return { parentNotificationSent: true };
      }
      return { parentNotificationSent: false };
    },

    // Notify teachers and counselors
    async ctx => {
      const teacherAlerts = ctx.last.interventionAlerts.filter(
        a =>
          a.stakeholders.includes('teacher') ||
          a.stakeholders.includes('counselor')
      );

      if (teacherAlerts.length > 0) {
        console.log('👩‍🏫 Sending teacher/counselor alerts...');

        const teacherNotification = {
          studentName: ctx.last.student.name,
          alerts: teacherAlerts,
          analytics: ctx.last.analytics,
          recommendations: ctx.last.personalizedPath.nextRecommendations,
        };

        await sendNotifications('teacher_alert', teacherNotification, [
          'teacher@school.edu',
          'counselor@school.edu',
        ]);
        return { teacherNotificationSent: true };
      }
      return { teacherNotificationSent: false };
    },

    // Update learning management system
    async ctx => {
      console.log('🖥️ Updating Learning Management System...');

      // Simulate LMS integration
      const lmsUpdate = {
        studentId: ctx.last.student.id,
        personalizedPath: ctx.last.personalizedPath,
        analytics: ctx.last.analytics,
        timestamp: new Date().toISOString(),
      };

      // In real implementation, integrate with Canvas, Blackboard, Google Classroom, etc.
      console.log('📱 LMS updated with personalized learning path');
      return { lmsUpdated: true };
    },
  ])

  .endIf()

  // Step 6: Generate comprehensive progress report
  .step('generate-report', async ctx => {
    if (!ctx.payload.generateReport) {
      return { reportGenerated: false };
    }

    console.log('📊 Generating comprehensive progress report...');

    const report = {
      studentProfile: {
        id: ctx.last.student.id,
        name: ctx.last.student.name,
        grade: ctx.last.student.grade,
        learningStyle: ctx.last.student.learningStyle,
        specialNeeds: ctx.last.student.specialNeeds,
      },
      academicPerformance: {
        currentGPA: ctx.last.student.currentGPA,
        attendanceRate: ctx.last.student.attendanceRate,
        subject: ctx.last.analytics.subject,
        predictedGrade: ctx.last.analytics.predictedGrade,
        riskLevel: ctx.last.analytics.riskLevel,
        learningVelocity: ctx.last.analytics.learningVelocity,
        engagementLevel: ctx.last.analytics.engagementLevel,
      },
      learningAnalysis: {
        conceptMastery: ctx.last.analytics.conceptMastery,
        strugglingAreas: ctx.last.analytics.strugglingAreas,
        strengthAreas: ctx.last.analytics.strengthAreas,
        interventionRecommendations:
          ctx.last.analytics.interventionRecommendations,
      },
      personalizedPath: {
        nextRecommendations: ctx.last.personalizedPath.nextRecommendations,
        adaptiveStrategies: ctx.last.personalizedPath.adaptiveStrategies,
        preferredResources: ctx.last.personalizedPath.preferredResources,
      },
      interventions: ctx.last.interventionAlerts,
      actionItems: [
        ...ctx.last.interventionAlerts.map(alert => ({
          type: 'intervention',
          description: alert.description,
          priority: alert.severity,
          deadline: alert.deadline,
          stakeholders: alert.stakeholders,
        })),
        ...ctx.last.personalizedPath.nextRecommendations.map(rec => ({
          type: 'learning',
          description: rec.content,
          priority: rec.priority,
          estimatedTime: `${rec.estimatedTime} minutes`,
        })),
      ],
      generatedAt: new Date().toISOString(),
      analysisWindow: ctx.payload.analysisWindow,
      totalSubmissions: ctx.last.submissions.length,
    };

    return { report, reportGenerated: true };
  })

  // Step 7: Create summary and final results
  .step('create-summary', async ctx => {
    console.log('📋 Creating final analysis summary...');

    const summary = {
      studentId: ctx.last.student.id,
      studentName: ctx.last.student.name,
      analysisComplete: true,
      riskLevel: ctx.last.analytics.riskLevel,
      interventionsTriggered: ctx.last.interventionAlerts.length,
      personalizedRecommendations:
        ctx.last.personalizedPath.nextRecommendations.length,
      notificationsSent: {
        parents: ctx.last.parentNotificationSent || false,
        teachers: ctx.last.teacherNotificationSent || false,
        lmsUpdated: ctx.last.lmsUpdated || false,
      },
      reportGenerated: ctx.last.reportGenerated,
      keyInsights: [
        `Student predicted to earn ${ctx.last.analytics.predictedGrade} in ${ctx.last.analytics.subject}`,
        `Learning velocity: ${ctx.last.analytics.learningVelocity > 0 ? 'improving' : 'declining'} (${ctx.last.analytics.learningVelocity.toFixed(1)}%)`,
        `Engagement level: ${ctx.last.analytics.engagementLevel > 0.7 ? 'high' : ctx.last.analytics.engagementLevel > 0.4 ? 'moderate' : 'low'}`,
        ...(ctx.last.analytics.strugglingAreas.length > 0
          ? [
              `Needs support in: ${ctx.last.analytics.strugglingAreas.join(', ')}`,
            ]
          : []),
        ...(ctx.last.analytics.strengthAreas.length > 0
          ? [`Excelling in: ${ctx.last.analytics.strengthAreas.join(', ')}`]
          : []),
      ],
      nextSteps: ctx.last.personalizedPath.nextRecommendations
        .slice(0, 3)
        .map(rec => rec.content),
      timestamp: new Date().toISOString(),
    };

    return { summary, success: true };
  })

  // Background action: Log analytics for institutional insights
  .action('log-institutional-analytics', async ctx => {
    console.log('📈 Logging institutional analytics...');

    // Aggregate data for school-wide insights
    const institutionalData = {
      gradeLevel: ctx.last.student.grade,
      subject: ctx.last.analytics.subject,
      riskLevel: ctx.last.analytics.riskLevel,
      learningStyle: ctx.last.student.learningStyle,
      interventionsNeeded: ctx.last.interventionAlerts.length,
      engagementLevel: ctx.last.analytics.engagementLevel,
      timestamp: new Date().toISOString(),
    };

    // In real implementation, this would feed into school analytics dashboard
    console.log('📊 Institutional analytics logged for trend analysis');
  });

// Route to trigger educational progress tracking
app.post('/api/education/track-progress', async (req, res) => {
  try {
    console.log('🚀 Triggering educational progress tracking workflow...');

    const validatedRequest = progressTrackingSchema.parse(req.body);

    const runId = await cronflow.trigger(
      'education-progress-tracking',
      validatedRequest
    );

    res.json({
      success: true,
      message: 'Educational progress tracking initiated',
      runId,
      studentId: validatedRequest.studentId,
      analysisWindow: validatedRequest.analysisWindow,
      timestamp: new Date().toISOString(),
    });
  } catch (error) {
    console.error('Progress tracking trigger error:', error);
    res.status(400).json({
      success: false,
      error: (error as Error).message || 'Failed to trigger progress tracking',
    });
  }
});

// Route to submit new assignment score
app.post('/api/education/submit-assignment', async (req, res) => {
  try {
    console.log('📝 Processing new assignment submission...');

    const submissionSchema = z.object({
      studentId: z.string().min(1),
      assignmentId: z.string().min(1),
      score: z.number().min(0),
      maxScore: z.number().positive(),
      timeSpent: z.number().positive().optional(),
      feedback: z.string().optional(),
      autoAnalyze: z.boolean().default(true),
    });

    const submission = submissionSchema.parse(req.body);

    if (submission.autoAnalyze) {
      // Automatically trigger progress tracking for new submissions
      const runId = await cronflow.trigger('education-progress-tracking', {
        studentId: submission.studentId,
        submissionData: {
          assignmentId: submission.assignmentId,
          score: submission.score,
          maxScore: submission.maxScore,
          timeSpent: submission.timeSpent,
          feedback: submission.feedback,
        },
        notifyParents: submission.score / submission.maxScore < 0.7, // Notify parents for low scores
        generateReport: true,
      });

      res.json({
        success: true,
        message: 'Assignment submitted and analysis triggered',
        submissionId: `sub_${Date.now()}`,
        score: `${submission.score}/${submission.maxScore}`,
        percentage: ((submission.score / submission.maxScore) * 100).toFixed(1),
        analysisRunId: runId,
        autoAnalyzed: true,
      });
    } else {
      res.json({
        success: true,
        message: 'Assignment submitted',
        submissionId: `sub_${Date.now()}`,
        score: `${submission.score}/${submission.maxScore}`,
        percentage: ((submission.score / submission.maxScore) * 100).toFixed(1),
        autoAnalyzed: false,
      });
    }
  } catch (error) {
    console.error('Assignment submission error:', error);
    res.status(400).json({
      success: false,
      error: (error as Error).message || 'Failed to submit assignment',
    });
  }
});

// Route to get student analytics dashboard
app.get('/api/education/student/:studentId/dashboard', async (req, res) => {
  try {
    const { studentId } = req.params;
    const days = parseInt(req.query.days as string) || 30;

    console.log(`📊 Generating dashboard for student ${studentId}...`);

    const student = await getStudentProfile(studentId);
    const submissions = await getRecentSubmissions(studentId, days);
    const analytics = await analyzeLearningPatterns(student, submissions);
    const personalizedPath = await generatePersonalizedPath(student, analytics);
    const interventionAlerts = await detectInterventionNeeds(
      student,
      analytics,
      submissions
    );

    const dashboard = {
      student: {
        name: student.name,
        grade: student.grade,
        currentGPA: student.currentGPA,
        attendanceRate: student.attendanceRate,
        learningStyle: student.learningStyle,
      },
      performance: {
        predictedGrade: analytics.predictedGrade,
        riskLevel: analytics.riskLevel,
        learningVelocity: analytics.learningVelocity,
        engagementLevel: analytics.engagementLevel,
        conceptMastery: analytics.conceptMastery,
      },
      insights: {
        strugglingAreas: analytics.strugglingAreas,
        strengthAreas: analytics.strengthAreas,
        recommendedActions: analytics.interventionRecommendations,
      },
      personalizedPath: {
        nextRecommendations: personalizedPath.nextRecommendations.slice(0, 5),
        adaptiveStrategies: personalizedPath.adaptiveStrategies,
      },
      alerts: interventionAlerts,
      recentActivity: {
        submissionCount: submissions.length,
        averageScore:
          (submissions.reduce((sum, s) => sum + s.score / s.maxScore, 0) /
            submissions.length) *
          100,
        lastSubmission: submissions[0]?.submittedAt,
        analysisWindow: days,
      },
      timestamp: new Date().toISOString(),
    };

    res.json({
      success: true,
      dashboard,
    });
  } catch (error) {
    console.error('Dashboard generation error:', error);
    res.status(500).json({
      success: false,
      error: 'Failed to generate student dashboard',
    });
  }
});

// Route to get class/teacher insights
app.get('/api/education/class/:classId/insights', async (req, res) => {
  try {
    const { classId } = req.params;
    console.log(`👩‍🏫 Generating class insights for class ${classId}...`);

    // Mock class-wide analytics
    const classInsights = {
      classId,
      totalStudents: 28,
      performance: {
        averageGPA: 3.1,
        averageAttendance: 0.87,
        riskDistribution: {
          low: 12,
          medium: 11,
          high: 5,
        },
        gradeDistribution: {
          A: 6,
          B: 8,
          C: 9,
          D: 3,
          F: 2,
        },
      },
      topConcerns: [
        'Algebra fundamentals - 8 students struggling',
        'Attendance issues - 5 students below 80%',
        'Low engagement - 6 students below 40%',
      ],
      interventionsActive: [
        'Math tutoring program - 5 students enrolled',
        'Parent conferences scheduled - 8 families',
        'Peer mentoring - 3 students participating',
      ],
      trends: {
        performanceChange: 2.3, // 2.3% improvement
        engagementChange: -1.1, // 1.1% decrease
        attendanceChange: 0.8, // 0.8% improvement
      },
      recommendations: [
        'Consider implementing more interactive math activities',
        'Address engagement decline with varied teaching methods',
        'Continue attendance improvement initiatives',
      ],
      generatedAt: new Date().toISOString(),
    };

    res.json({
      success: true,
      insights: classInsights,
    });
  } catch (error) {
    res.status(500).json({
      success: false,
      error: 'Failed to generate class insights',
    });
  }
});

// Route to get intervention recommendations
app.get('/api/education/interventions/:studentId', async (req, res) => {
  try {
    const { studentId } = req.params;
    const student = await getStudentProfile(studentId);
    const submissions = await getRecentSubmissions(studentId, 30);
    const analytics = await analyzeLearningPatterns(student, submissions);
    const interventions = await detectInterventionNeeds(
      student,
      analytics,
      submissions
    );

    res.json({
      success: true,
      studentId,
      interventions,
      totalAlerts: interventions.length,
      highPriorityCount: interventions.filter(
        i => i.severity === 'high' || i.severity === 'critical'
      ).length,
      generatedAt: new Date().toISOString(),
    });
  } catch (error) {
    res.status(500).json({
      success: false,
      error: 'Failed to get intervention recommendations',
    });
  }
});

app.listen(3000, async () => {
  console.log('\n🎓 Educational Progress Tracking System Starting...');
  console.log('⚡ Server running on port 3000');
  console.log('📍 Available endpoints:');
  console.log(
    '  POST /api/education/track-progress - Trigger comprehensive progress analysis'
  );
  console.log(
    '  POST /api/education/submit-assignment - Submit new assignment with auto-analysis'
  );
  console.log(
    '  GET  /api/education/student/:id/dashboard - Get student analytics dashboard'
  );
  console.log(
    '  GET  /api/education/class/:id/insights - Get class-wide insights'
  );
  console.log(
    '  GET  /api/education/interventions/:id - Get intervention recommendations'
  );

  await cronflow.start();
  console.log('🚀 Educational tracking workflows ready!');
  console.log('🧠 AI-powered learning analytics active');
  console.log('📊 Predictive intervention system online');
});