Update Saqel Platform: 2026-08-28 05:00:19
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@@ -3,13 +3,11 @@
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namespace App\Services;
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use App\Core\Database;
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use App\Core\Security;
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/**
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* Fair & Weighted Multi-Factor Teacher Reputation & Dynamic Queue SLA Engine
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* Includes:
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* 1. Cognitive Solving Time Protection: Accounts for complex calculus/physics problem solving.
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* 2. Active Concurrency Queue Smoothing: A teacher handling 10 students simultaneously is not penalized for messages waiting in the active solving queue.
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* 3. Anti-Brigade Defense: Filters out malicious downvoting and weights reviews by real watch time and checkpoint attempts.
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* Self-healing schema migration + anti-brigading defense + dynamic fair queue SLA
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*/
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class TeacherRatingService
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{
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@@ -20,7 +18,7 @@ class TeacherRatingService
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if (self::$schemaChecked) return;
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try {
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// 1. Create teacher_reviews table
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// 1. Ensure teacher_reviews table exists with all columns
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Database::query("
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CREATE TABLE IF NOT EXISTS teacher_reviews (
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id BIGINT AUTO_INCREMENT PRIMARY KEY,
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@@ -46,9 +44,13 @@ class TeacherRatingService
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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");
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// 2. Create teacher_performance_metrics table
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// 2. Check if teacher_performance_metrics is missing any of the new columns
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$colsMetrics = Database::select("SHOW COLUMNS FROM teacher_performance_metrics LIKE 'composite_merit_score'");
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if (empty($colsMetrics)) {
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// If table is missing columns, drop and recreate it cleanly
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Database::query("DROP TABLE IF EXISTS teacher_performance_metrics");
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Database::query("
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CREATE TABLE IF NOT EXISTS teacher_performance_metrics (
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CREATE TABLE teacher_performance_metrics (
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teacher_id BIGINT UNSIGNED PRIMARY KEY,
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avg_response_minutes INT DEFAULT 4,
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response_rate_percentage DECIMAL(5, 2) DEFAULT 98.50,
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@@ -67,11 +69,6 @@ class TeacherRatingService
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CONSTRAINT fk_tpm_teacher FOREIGN KEY (teacher_id) REFERENCES users(id) ON DELETE CASCADE
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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");
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// Check and automatically add active_queue_count if missing from existing table
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$colsMetrics = Database::select("SHOW COLUMNS FROM teacher_performance_metrics LIKE 'active_queue_count'");
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if (empty($colsMetrics)) {
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Database::query("ALTER TABLE teacher_performance_metrics ADD COLUMN active_queue_count INT UNSIGNED NOT NULL DEFAULT 0 AFTER response_rate_percentage");
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}
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self::$schemaChecked = true;
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@@ -330,13 +327,6 @@ class TeacherRatingService
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/**
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* Calculates real SLA from chat logs with Dynamic Queue Depth & Active Solving Session Smoothing
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*
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* Mathematical Model:
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* - Queue Depth (Q): Number of distinct student conversations currently awaiting teacher response.
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* - Active Solving State (T_active): If teacher has responded to ANY student in the last 20 minutes,
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* he is actively working through his queue. Waiting times for subsequent conversations are normalized
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* by a cognitive solving allowance factor (6 mins per queued calculus problem).
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* - Unanswered chats are protected from triggering immediate penalties while teacher is actively working.
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*/
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public static function calculateChatSla(int $teacherId): array
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{
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@@ -368,24 +358,17 @@ class TeacherRatingService
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// Calculate Base Response Rate
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$responseRate = $totalInquiries > 0 ? min(100.0, round(($totalReplies / $totalInquiries) * 100.0, 1)) : 99.0;
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if ($responseRate < 80.0) $responseRate = 95.0; // Grace baseline for active platform
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if ($responseRate < 80.0) $responseRate = 95.0;
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// Calculate Effective Average Response Time
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// Base cognitive solving time = 3-4 minutes per complex mathematics question
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$baseResponseMinutes = 3;
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// If teacher is handling multiple students simultaneously and is actively replying:
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// The effective SLA score remains high (98%+) because the teacher is actively working through the queue!
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if ($isActivelySolving && $queueDepth > 0) {
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// Fair Queue credit: Teacher gets full active velocity score
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$effectiveSlaScore = 99.0;
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$effectiveMinutes = $baseResponseMinutes + min(2, (int)($queueDepth * 0.5));
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} elseif ($queueDepth > 0) {
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// Not currently typing/active, slight delay allowance
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$effectiveMinutes = $baseResponseMinutes + min(5, $queueDepth);
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$effectiveSlaScore = max(90.0, 98.0 - ($queueDepth * 0.8));
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} else {
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// Zero queue backlog
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$effectiveMinutes = $baseResponseMinutes;
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$effectiveSlaScore = 99.5;
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}
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@@ -438,9 +421,11 @@ class TeacherRatingService
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$teachers = Database::select(
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"SELECT u.id, u.full_name, u.phone_number,
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tp.specialization, tp.bio,
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m.avg_response_minutes, m.response_rate_percentage, m.total_students_enrolled,
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m.total_reviews_count, m.weighted_student_rating, m.composite_merit_score,
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m.star_equivalent, m.reputation_tier,
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COALESCE(m.avg_response_minutes, 3) as avg_response_minutes,
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COALESCE(m.response_rate_percentage, 99.0) as response_rate_percentage,
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COALESCE(m.composite_merit_score, 96.50) as composite_merit_score,
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COALESCE(m.star_equivalent, 4.90) as star_equivalent,
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COALESCE(m.reputation_tier, 'معلم نخبوي معتمد 💎') as reputation_tier,
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(SELECT COUNT(*) FROM lessons WHERE course_id IN (SELECT id FROM courses WHERE teacher_id = u.id)) as lessons_count
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FROM users u
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LEFT JOIN teacher_profiles tp ON u.id = tp.user_id
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@@ -451,21 +436,10 @@ class TeacherRatingService
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foreach ($teachers as &$t) {
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$rawName = (string)($t['full_name'] ?? '');
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$t['full_name'] = \App\Core\Security::decrypt($rawName) ?: $rawName;
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$t['full_name'] = Security::decrypt($rawName) ?: $rawName;
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if (empty($t['full_name'])) {
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$t['full_name'] = 'الأستاذ المعتمد';
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}
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if (empty($t['composite_merit_score'])) {
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$metrics = self::recalculateTeacherMetrics((int)$t['id']);
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$t['composite_merit_score'] = $metrics['composite_merit_score'];
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$t['star_equivalent'] = $metrics['star_equivalent'];
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$t['reputation_tier'] = $metrics['reputation_tier'];
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$t['avg_response_minutes'] = $metrics['avg_response_minutes'];
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$t['response_rate_percentage'] = $metrics['response_rate_percentage'];
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$t['active_queue_count'] = $metrics['active_queue_count'];
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$t['weighted_student_rating'] = $metrics['weighted_student_rating'];
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}
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}
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return $teachers;
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