Update: 2026-07-02 05:27:04

2026-07-02 05:27:05 +03:00
parent d2ce4bdb16
commit 05d047d871
25 changed files with 1625 additions and 85 deletions
@@ -0,0 +1,176 @@
+<?php
+/**
+ * ai_formula_solver.php
+ * مكتشف خوارزميات المنافسين (AI Competitor Formula Solver)
+ * يستخدم الانحدار الخطي المتعدد (Multiple Linear Regression) لاكتشاف
+ * أجرة فتح العداد، وسعر الكيلومتر، وسعر الدقيقة لكل تطبيق منافس.
+ */
+
+require_once __DIR__ . '/../core/bootstrap.php';
+require_once __DIR__ . '/../functions.php';
+
+try {
+    $con = Database::get('main');
+} catch (Exception $e) {
+    die("Database connection failed: " . $e->getMessage() . "\n");
+}
+
+echo "Starting AI Formula Discovery Engine...\n";
+
+// نجلب التطبيقات التي لديها بيانات (مسافة ووقت وسعر)
+$sqlApps = "SELECT DISTINCT competitor_name, country_code 
+            FROM scraped_competitor_prices 
+            WHERE distance_km > 0 AND duration_min > 0 AND price_amount > 0";
+$stmtApps = $con->query($sqlApps);
+$apps = $stmtApps->fetchAll(PDO::FETCH_ASSOC);
+
+if (empty($apps)) {
+    echo "No sufficient data (Distance/Duration) found to perform regression.\n";
+    exit;
+}
+
+// دالة لحل نظام معادلات خطية (Gaussian Elimination)
+function solveLinearSystem($A, $B) {
+    $n = count($A);
+    for ($i = 0; $i < $n; $i++) {
+        // Search for maximum in this column
+        $maxEl = abs($A[$i][$i]);
+        $maxRow = $i;
+        for ($k = $i + 1; $k < $n; $k++) {
+            if (abs($A[$k][$i]) > $maxEl) {
+                $maxEl = abs($A[$k][$i]);
+                $maxRow = $k;
+            }
+        }
+        
+        // Swap maximum row with current row
+        for ($k = $i; $k < $n; $k++) {
+            $tmp = $A[$maxRow][$k];
+            $A[$maxRow][$k] = $A[$i][$k];
+            $A[$i][$k] = $tmp;
+        }
+        $tmp = $B[$maxRow];
+        $B[$maxRow] = $B[$i];
+        $B[$i] = $tmp;
+        
+        // Make all rows below this one 0 in current column
+        for ($k = $i + 1; $k < $n; $k++) {
+            if ($A[$i][$i] == 0) continue;
+            $c = -$A[$k][$i] / $A[$i][$i];
+            for ($j = $i; $j < $n; $j++) {
+                if ($i == $j) {
+                    $A[$k][$j] = 0;
+                } else {
+                    $A[$k][$j] += $c * $A[$i][$j];
+                }
+            }
+            $B[$k] += $c * $B[$i];
+        }
+    }
+    
+    // Solve equation Ax=b for an upper triangular matrix A
+    $x = array_fill(0, $n, 0);
+    for ($i = $n - 1; $i >= 0; $i--) {
+        if ($A[$i][$i] == 0) continue;
+        $x[$i] = $B[$i] / $A[$i][$i];
+        for ($k = $i - 1; $k >= 0; $k--) {
+            $B[$k] -= $A[$k][$i] * $x[$i];
+        }
+    }
+    return $x;
+}
+
+foreach ($apps as $app) {
+    $competitor = $app['competitor_name'];
+    $countryCode = $app['country_code'];
+    
+    echo "Analyzing: $competitor ($countryCode)...\n";
+    
+    // سحب أحدث 5000 رحلة لتكوين نموذج رياضي دقيق
+    $sqlData = "SELECT distance_km, duration_min, price_amount 
+                FROM scraped_competitor_prices 
+                WHERE competitor_name = :comp 
+                AND country_code = :country 
+                AND distance_km > 0 AND duration_min > 0 AND price_amount > 0
+                ORDER BY id DESC LIMIT 5000";
+    $stmtData = $con->prepare($sqlData);
+    $stmtData->execute([':comp' => $competitor, ':country' => $countryCode]);
+    $samples = $stmtData->fetchAll(PDO::FETCH_ASSOC);
+    
+    $N = count($samples);
+    if ($N < 10) {
+        echo " -> Not enough samples ($N). Skipping.\n";
+        continue;
+    }
+    
+    // بناء مصفوفات Least Squares (X^T X) * Beta = (X^T Y)
+    // Beta = [Base_Fare, KM_Price, Min_Price]
+    $sum_x1 = 0; $sum_x2 = 0; $sum_y = 0;
+    $sum_x1_sq = 0; $sum_x2_sq = 0; $sum_x1_x2 = 0;
+    $sum_x1_y = 0; $sum_x2_y = 0;
+    
+    foreach ($samples as $s) {
+        $x1 = (float)$s['distance_km'];
+        $x2 = (float)$s['duration_min'];
+        $y = (float)$s['price_amount'];
+        
+        $sum_x1 += $x1;
+        $sum_x2 += $x2;
+        $sum_y += $y;
+        
+        $sum_x1_sq += ($x1 * $x1);
+        $sum_x2_sq += ($x2 * $x2);
+        $sum_x1_x2 += ($x1 * $x2);
+        
+        $sum_x1_y += ($x1 * $y);
+        $sum_x2_y += ($x2 * $y);
+    }
+    
+    $matrixA = [
+        [$N,       $sum_x1,    $sum_x2],
+        [$sum_x1,  $sum_x1_sq, $sum_x1_x2],
+        [$sum_x2,  $sum_x1_x2, $sum_x2_sq]
+    ];
+    
+    $matrixB = [
+        $sum_y,
+        $sum_x1_y,
+        $sum_x2_y
+    ];
+    
+    // حل المصفوفة
+    try {
+        $beta = solveLinearSystem($matrixA, $matrixB);
+        
+        $baseFare = round(max(0, $beta[0]), 3); // Base fare cannot be negative
+        $kmPrice  = round(max(0, $beta[1]), 3);
+        $minPrice = round(max(0, $beta[2]), 3);
+        
+        echo " -> [DISCOVERED] Base Fare: $baseFare, KM: $kmPrice, Min: $minPrice\n";
+        
+        // حفظ في جدول المعادلات السرية
+        $sqlUpsert = "INSERT INTO competitor_secret_formulas 
+                      (competitor_name, country_code, base_fare, price_per_km, price_per_min, sample_size) 
+                      VALUES (:comp, :country, :base, :km, :min, :size)
+                      ON DUPLICATE KEY UPDATE 
+                      base_fare = :base, price_per_km = :km, price_per_min = :min, sample_size = :size, last_updated = NOW()";
+        
+        $stmtUp = $con->prepare($sqlUpsert);
+        $stmtUp->execute([
+            ':comp' => $competitor,
+            ':country' => $countryCode,
+            ':base' => $baseFare,
+            ':km' => $kmPrice,
+            ':min' => $minPrice,
+            ':size' => $N
+        ]);
+        
+        echo " -> Saved successfully.\n";
+        
+    } catch (Exception $e) {
+        echo " -> Error solving matrix: " . $e->getMessage() . "\n";
+    }
+}
+
+echo "Done.\n";
+?>
@@ -0,0 +1,172 @@
+<?php
+/**
+ * cron_ai_engine.php
+ * المحرك الرئيسي للذكاء الاصطناعي (AI Engine)
+ * يتم تشغيله كـ Cron Job كل 30 دقيقة أو ساعة لتقليل الضغط على السيرفر.
+ * 
+ * يدمج 3 وحدات (Modules) ذكية:
+ * 1. AI Pricing (Total Price Math): تعديل جدول kazan ليكون السعر الإجمالي أرخص بـ 6.5% من المنافس الأقوى بدقة.
+ * 2. AI Dispatch: تحديد مناطق الذروة وتوجيه السائقين إليها.
+ * 3. AI Retention: اصطياد الركاب الخاملين.
+ */
+
+require_once __DIR__ . '/../core/bootstrap.php';
+require_once __DIR__ . '/../functions.php';
+
+try {
+    $con = Database::get('main');
+    $redis = getRedisConnection();
+} catch (Exception $e) {
+    die("Connection failed: " . $e->getMessage() . "\n");
+}
+
+echo "Starting Siro AI Engine...\n";
+
+// نسبة الخصم المستهدفة (6.5% من إجمالي سعر الرحلة)
+$targetMargin = 0.065; 
+
+// ==========================================
+// 1. وحدة التسعير الديناميكي بناءً على السعر الإجمالي
+// ==========================================
+echo "1. Running Smart Pricing Module (Total Price Formula)...\n";
+try {
+    $sql = "SELECT country_code, 
+                   AVG(price_per_km) as avg_price_km,
+                   MIN(price_per_km) as min_price_km
+            FROM scraped_competitor_prices 
+            WHERE created_at >= DATE_SUB(NOW(), INTERVAL 3 HOUR)
+            AND price_per_km > 0
+            GROUP BY country_code";
+    
+    $stmt = $con->query($sql);
+    $competitorRates = $stmt->fetchAll(PDO::FETCH_ASSOC);
+
+    foreach ($competitorRates as $rate) {
+        $country = $rate['country_code'];
+        $countryNameMap = ['JO' => 'Jordan', 'SY' => 'Syria', 'EG' => 'Egypt', 'IQ' => 'Iraq'];
+        $countryName = $countryNameMap[$country] ?? null;
+        
+        if ($countryName) {
+            $avgKmPrice = (float)$rate['avg_price_km'];
+            $minKmPrice = (float)$rate['min_price_km'];
+            
+            // 1. حساب السعر الفعّال للكيلومتر بناءً على المتوسط والأرخص
+            $effectiveCompetitorPrice = round($avgKmPrice * (1 - $targetMargin), 2);
+            if ($effectiveCompetitorPrice > $minKmPrice) {
+                $effectiveCompetitorPrice = round(($effectiveCompetitorPrice + $minKmPrice) / 2, 2);
+            }
+            
+            // 2. الهندسة العكسية للسعر الإجمالي (Reverse Engineering)
+            // بما أن سيرو يضيف سعر الدقيقة (والتي تعادل دقيقتين لكل كيلومتر تقريباً)، فإن التكلفة الإضافية للدقائق ترفع السعر الإجمالي بمقدار 1.5x
+            // لضمان أن يكون السعر النهائي أقل بـ 6%، نقسم الناتج على 1.5 ليمتص تكلفة الدقائق.
+            $calculatedSpeedPrice = round($effectiveCompetitorPrice / 1.5, 3);
+            
+            // 3. تسعير الفئات المتعددة
+            $newSpeedPrice      = $calculatedSpeedPrice;
+            $newComfortPrice    = round($newSpeedPrice * 1.30, 3);
+            $newLadyPrice       = round($newSpeedPrice * 1.10, 3);
+            $newElectricPrice   = round($newSpeedPrice * 1.20, 3);
+            $newVanPrice        = round($newSpeedPrice * 1.50, 3);
+            $newDeliveryPrice   = round($newSpeedPrice * 0.90, 3);
+            $newMishwarVipPrice = round($newSpeedPrice * 1.40, 3); 
+            $newFixedPrice      = $newSpeedPrice; 
+            $newAwfarPrice      = round($newSpeedPrice * 0.85, 3);
+            
+            // أسعار الدقائق
+            $newNormalMin = round($newSpeedPrice / 4, 3);
+            $newPeakMin   = round($newNormalMin * 1.15, 3);
+            $newLateMin   = round($newNormalMin * 1.25, 3);
+
+            $updateSql = "UPDATE kazan 
+                          SET speedPrice = :speedPrice,
+                              comfortPrice = :comfortPrice,
+                              ladyPrice = :ladyPrice,
+                              electricPrice = :electricPrice,
+                              vanPrice = :vanPrice,
+                              deliveryPrice = :deliveryPrice,
+                              mishwarVipPrice = :mishwarVipPrice,
+                              fixedPrice = :fixedPrice,
+                              awfarPrice = :awfarPrice,
+                              normalMinPrice = :normalMin,
+                              peakMinPrice = :peakMin,
+                              lateMinPrice = :lateMin
+                          WHERE country = :countryName";
+            $upStmt = $con->prepare($updateSql);
+            $upStmt->execute([
+                ':speedPrice'      => $newSpeedPrice,
+                ':comfortPrice'    => $newComfortPrice,
+                ':ladyPrice'       => $newLadyPrice,
+                ':electricPrice'   => $newElectricPrice,
+                ':vanPrice'        => $newVanPrice,
+                ':deliveryPrice'   => $newDeliveryPrice,
+                ':mishwarVipPrice' => $newMishwarVipPrice,
+                ':fixedPrice'      => $newFixedPrice,
+                ':awfarPrice'      => $newAwfarPrice,
+                ':normalMin'       => $newNormalMin,
+                ':peakMin'         => $newPeakMin,
+                ':lateMin'         => $newLateMin,
+                ':countryName'     => $countryName
+            ]);
+            
+            echo "   -> Updated $countryName (Total Price Math applied): Speed=$newSpeedPrice JOD/KM, NormalMin=$newNormalMin JOD/MIN\n";
+        }
+    }
+} catch (Exception $e) {
+    echo "   Error in Pricing Module: " . $e->getMessage() . "\n";
+}
+
+// ==========================================
+// 2. وحدة توجيه السائقين (Demand Predictor)
+// ==========================================
+echo "2. Running Demand Predictor Module...\n";
+try {
+    $cacheJson = $redis->get('siro:cache:pricing:grids');
+    $hotZones = [];
+    if ($cacheJson) {
+        $grids = json_decode($cacheJson, true)['grids'] ?? [];
+        foreach ($grids as $key => $data) {
+            if (strpos($key, 'FALLBACK') !== false) continue;
+            
+            if ($data['avg_price'] > 0) {
+                $parts = explode('_', $key);
+                if (count($parts) == 3) {
+                    $hotZones[] = [
+                        'latitude' => (float)$parts[1],
+                        'longitude' => (float)$parts[2],
+                        'avg_price' => $data['avg_price'],
+                        'top_competitor' => $data['top_competitor'],
+                        'timestamp' => time()
+                    ];
+                }
+            }
+        }
+        
+        $redis->set('siro:cache:ai:hotzones', json_encode(['status' => 'success', 'data' => $hotZones], JSON_UNESCAPED_UNICODE));
+        echo "   -> Saved " . count($hotZones) . " Hot Zones to Redis for Driver Map Guidance.\n";
+    }
+} catch (Exception $e) {
+    echo "   Error in Demand Predictor: " . $e->getMessage() . "\n";
+}
+
+// ==========================================
+// 3. وحدة استهداف الركاب الخاملين (Smart Retention)
+// ==========================================
+echo "3. Running Smart Retention Module...\n";
+try {
+    $sql = "SELECT source, COUNT(*) as opens
+            FROM passenger_opening_locations
+            WHERE created_at >= DATE_SUB(NOW(), INTERVAL 3 HOUR)
+            GROUP BY source
+            HAVING opens >= 3";
+            
+    $stmt = $con->query($sql);
+    $idleRiders = $stmt->fetchAll(PDO::FETCH_ASSOC);
+    
+    $notifiedCount = count($idleRiders);
+    echo "   -> Identified $notifiedCount idle riders requiring push notifications.\n";
+} catch (Exception $e) {
+    echo "   Error in Smart Retention: " . $e->getMessage() . "\n";
+}
+
+echo "AI Engine finished successfully.\n";
+?>
@@ -35,7 +35,7 @@ if (empty($data) || !is_array($data)) {
 }

 $insertedCount = 0;
-$stmt = $con->prepare("INSERT INTO scraped_competitor_prices (task_id, app_name, competitor_name, start_location, end_location, start_lat, start_lng, end_lat, end_lng, price_amount, price_per_km, currency, country_code) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)");
+$stmt = $con->prepare("INSERT INTO scraped_competitor_prices (task_id, app_name, competitor_name, start_location, end_location, start_lat, start_lng, end_lat, end_lng, price_amount, price_per_km, distance_km, duration_min, currency, country_code) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)");

 foreach ($data as $row) {
    if (isset($row['status']) && $row['status'] !== 'success') {
@@ -46,6 +46,7 @@ foreach ($data as $row) {
    $resultData = $row['result_data'] ?? [];
    
    $appName = $resultData['app'] ?? $row['app'] ?? 'Unknown';
+    $competitorName = $appName; // Assuming app_name is competitor_name for now
    
    $startLoc = $resultData['start_location'] ?? $row['start_location'] ?? '';
    if (empty($startLoc) && !empty($resultData['start_lat'])) {
@@ -84,19 +85,34 @@ foreach ($data as $row) {
    }

    $distanceKm = (float)($resultData['distance_km'] ?? 1);
-    if ($distanceKm <= 0) $distanceKm = 1;
+    if ($distanceKm <= 0) $distanceKm = 1; // Prevent division by zero
    $pricePerKm = $amount / $distanceKm;
+    
+    $durationMin = isset($resultData['duration_min']) ? (int)$resultData['duration_min'] : null;

    $startLat = $resultData['start_lat'] ?? null;
    $startLng = $resultData['start_lng'] ?? null;
    $endLat = $resultData['end_lat'] ?? null;
    $endLng = $resultData['end_lng'] ?? null;
-    $countryCode = 'JO'; // Default for now, as scraping is in Jordan
+    
+    $countryCode = $row['country_code'] ?? 'JO'; // Default

    if ($stmt->execute([
-        $taskId, $appName, $appName, $startLoc, $endLoc, 
-        $startLat, $startLng, $endLat, $endLng, 
-        $amount, $pricePerKm, $currency, $countryCode
+        $taskId,
+        $appName,
+        $competitorName,
+        $startLoc,
+        $endLoc,
+        $startLat,
+        $startLng,
+        $endLat,
+        $endLng,
+        $amount,
+        $pricePerKm,
+        $distanceKm,
+        $durationMin,
+        $currency,
+        $countryCode
    ])) {
        $insertedCount++;
    } else {
@@ -0,0 +1,103 @@
+<?php
+/**
+ * cron_generate_heatmap_cache.php
+ * يجمع بيانات الخريطة الحرارية ويخزنها في Redis
+ */
+
+require_once __DIR__ . '/../core/bootstrap.php';
+require_once __DIR__ . '/../functions.php';
+
+try {
+    $con = Database::get('main');
+    $redis = getRedisConnection();
+} catch (Exception $e) {
+    die("Connection failed: " . $e->getMessage() . "\n");
+}
+
+echo "Starting Heatmap Cache Generation (Redis)...\n";
+
+// مربعات المدن الكبرى لتمثيل الدول (لتجنب حساب المضلعات المعقدة)
+// الأردن (عمان والزرقاء)
+// سوريا (دمشق)
+// مصر (القاهرة والإسكندرية)
+// العراق (بغداد)
+$cityBounds = [
+    'JO' => [ // Amman & Zarqa rough bounding box
+        'lat' => [31.80, 32.20],
+        'lng' => [35.80, 36.20]
+    ],
+    'SY' => [ // Damascus
+        'lat' => [33.40, 33.60],
+        'lng' => [36.20, 36.40]
+    ],
+    'EG' => [ // Cairo & Alexandria
+        'lat' => [29.80, 31.30],
+        'lng' => [29.80, 31.50]
+    ],
+    'IQ' => [ // Baghdad
+        'lat' => [33.10, 33.50],
+        'lng' => [44.20, 44.60]
+    ]
+];
+
+try {
+    $sql = "SELECT latitude, longitude, source, created_at
+            FROM passenger_opening_locations
+            WHERE created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)
+            ORDER BY created_at DESC
+            LIMIT 20000";
+
+    $stmt = $con->query($sql);
+    $locations = $stmt->fetchAll(PDO::FETCH_ASSOC);
+
+    $stats = ['geofence' => 0, 'app_usage' => 0, 'silent_push' => 0];
+    
+    // تقسيم البيانات حسب الدولة (لتسهيل قراءتها من الـ API)
+    $countryData = [
+        'JO' => [], 'SY' => [], 'EG' => [], 'IQ' => [], 'OTHER' => []
+    ];
+
+    foreach ($locations as $loc) {
+        $lat = (float)$loc['latitude'];
+        $lng = (float)$loc['longitude'];
+        if ($lat == 0 || $lng == 0) continue;
+
+        $src = $loc['source'] ?? 'app_usage';
+        $date = substr($loc['created_at'], 0, 10);
+        
+        $assignedCountry = 'OTHER';
+        // البحث عن المربع الذي يقع فيه الإحداثي
+        foreach ($cityBounds as $cc => $b) {
+            if ($lat >= $b['lat'][0] && $lat <= $b['lat'][1] &&
+                $lng >= $b['lng'][0] && $lng <= $b['lng'][1]) {
+                $assignedCountry = $cc;
+                break;
+            }
+        }
+
+        if (isset($stats[$src])) $stats[$src]++;
+        
+        $countryData[$assignedCountry][] = [
+            'lat' => $lat,
+            'lng' => $lng,
+            'source' => $src,
+            'date' => $date
+        ];
+    }
+
+    $redisData = [
+        'last_updated' => date('Y-m-d H:i:s'),
+        'total' => count($locations),
+        'stats' => $stats,
+        'data' => $countryData // مقسمة وجاهزة
+    ];
+
+    $redis->set('siro:cache:heatmap:data', json_encode($redisData, JSON_UNESCAPED_UNICODE));
+
+    echo "Heatmap Cache Generated Successfully. Points: " . count($locations) . "\n";
+
+} catch (Exception $e) {
+    error_log("Error generating heatmap cache: " . $e->getMessage());
+    echo "Error: " . $e->getMessage();
+}
+?>
@@ -0,0 +1,119 @@
+<?php
+/**
+ * cron_generate_pricing_cache.php
+ * يجمع أسعار المنافسين لكل مربع جغرافي (2.5km) ويحفظ النتيجة في Redis
+ * يتم تشغيله كـ Cron Job (CLI) لتخفيف الضغط تماماً عن الاستعلام المباشر للركاب.
+ */
+
+require_once __DIR__ . '/../core/bootstrap.php';
+require_once __DIR__ . '/../functions.php';
+
+try {
+    $con = Database::get('main');
+    $redis = getRedisConnection();
+} catch (Exception $e) {
+    die("Connection failed: " . $e->getMessage() . "\n");
+}
+
+echo "Starting Pricing Cache Generation (Redis)...\n";
+
+try {
+    // 1. جلب متوسط الأسعار من المنافسين في آخر ساعة للشبكة
+    $sql = "SELECT country_code,
+                   ROUND(latitude / 0.025) * 0.025 AS grid_lat,
+                   ROUND(longitude / 0.025) * 0.025 AS grid_lng,
+                   competitor_name,
+                   AVG(price) as avg_price,
+                   COUNT(*) as requests_count
+            FROM competitor_prices
+            WHERE created_at >= DATE_SUB(NOW(), INTERVAL 1 HOUR)
+            GROUP BY country_code, grid_lat, grid_lng, competitor_name";
+
+    $stmt = $con->query($sql);
+    $results = $stmt->fetchAll(PDO::FETCH_ASSOC);
+
+    // بناء مصفوفة الشبكات
+    $grids = [];
+    foreach ($results as $row) {
+        $cc = strtoupper($row['country_code']);
+        $gLat = number_format((float)$row['grid_lat'], 3);
+        $gLng = number_format((float)$row['grid_lng'], 3);
+        
+        $key = "{$cc}_{$gLat}_{$gLng}";
+        
+        if (!isset($grids[$key])) {
+            $grids[$key] = [
+                'competitors' => [],
+                'total_price' => 0,
+                'total_competitors' => 0
+            ];
+        }
+        
+        $grids[$key]['competitors'][$row['competitor_name']] = (float)$row['avg_price'];
+        $grids[$key]['total_price'] += (float)$row['avg_price'];
+        $grids[$key]['total_competitors']++;
+    }
+
+    $processedGrids = [];
+    $fallbackData = []; // لمتوسط البلد بالكامل كبديل
+
+    foreach ($grids as $key => $data) {
+        if ($data['total_competitors'] == 0) continue;
+
+        $overallAvg = $data['total_price'] / $data['total_competitors'];
+        
+        // إيجاد المنافس الأرخص في هذا المربع
+        $cheapestComp = '';
+        $cheapestPrice = 999999;
+        foreach ($data['competitors'] as $name => $price) {
+            if ($price < $cheapestPrice) {
+                $cheapestPrice = $price;
+                $cheapestComp = $name;
+            }
+        }
+
+        $gridInfo = [
+            'avg_price' => round($overallAvg, 2),
+            'top_competitor' => $cheapestComp,
+            'cheapest_price' => round($cheapestPrice, 2)
+        ];
+        
+        $processedGrids[$key] = $gridInfo;
+
+        // حفظ المتوسط للـ Fallback
+        $cc = explode('_', $key)[0];
+        if (!isset($fallbackData[$cc])) {
+            $fallbackData[$cc] = ['sum' => 0, 'count' => 0, 'cheapest_comp' => $cheapestComp];
+        }
+        $fallbackData[$cc]['sum'] += $overallAvg;
+        $fallbackData[$cc]['count']++;
+    }
+
+    // إضافة Fallback لكل دولة (في حال الراكب كان في مربع فارغ)
+    foreach ($fallbackData as $cc => $d) {
+        if ($d['count'] > 0) {
+            $processedGrids["{$cc}_FALLBACK"] = [
+                'avg_price' => round($d['sum'] / $d['count'], 2),
+                'top_competitor' => $d['cheapest_comp'],
+                'cheapest_price' => round($d['sum'] / $d['count'], 2)
+            ];
+        }
+    }
+
+    // 2. الحفظ في Redis
+    // نحفظ المصفوفة بالكامل كـ JSON String داخل مفتاح رئيسي واحد للسرعة العالية في القراءة 
+    // مفتاح: siro:cache:pricing:grids
+    $redisData = [
+        'last_updated' => date('Y-m-d H:i:s'),
+        'grids' => $processedGrids
+    ];
+    
+    $redis->set('siro:cache:pricing:grids', json_encode($redisData, JSON_UNESCAPED_UNICODE));
+    
+    echo "Pricing Cache Generated Successfully in Redis. Grids: " . count($processedGrids) . "\n";
+
+} catch (Exception $e) {
+    error_log("Error generating pricing cache (Redis): " . $e->getMessage());
+    echo "Error: " . $e->getMessage();
+}
+?>
@@ -30,6 +30,8 @@ CREATE TABLE IF NOT EXISTS `scraped_competitor_prices` (
  `end_lng` decimal(10,7) DEFAULT NULL,
  `price_amount` decimal(8,2) NOT NULL,
  `price_per_km` decimal(8,2) NOT NULL,
+  `distance_km` decimal(8,2) DEFAULT NULL,
+  `duration_min` int DEFAULT NULL,
  `currency` varchar(10) NOT NULL DEFAULT 'JOD',
  `country_code` varchar(10) NOT NULL DEFAULT 'JO',
  `scraped_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
@@ -42,6 +44,32 @@ CREATE TABLE IF NOT EXISTS `scraped_competitor_prices` (
 ";
 $con->exec($sql);

+// [AI Formula Discovery] Create table for reverse-engineered formulas
+$sqlFormula = "
+CREATE TABLE IF NOT EXISTS `competitor_secret_formulas` (
+  `id` INT AUTO_INCREMENT PRIMARY KEY,
+  `competitor_name` varchar(100) NOT NULL,
+  `country_code` varchar(10) NOT NULL,
+  `base_fare` decimal(8,3) NOT NULL,
+  `price_per_km` decimal(8,3) NOT NULL,
+  `price_per_min` decimal(8,3) NOT NULL,
+  `confidence_score` decimal(5,2) DEFAULT 0,
+  `sample_size` int DEFAULT 0,
+  `last_updated` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
+  UNIQUE KEY `idx_comp_country` (`competitor_name`, `country_code`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
+";
+$con->exec($sqlFormula);
+
+// Auto-patch existing table if upgrading
+try {
+    $con->exec("ALTER TABLE `scraped_competitor_prices` ADD COLUMN `distance_km` decimal(8,2) DEFAULT NULL AFTER `price_per_km`");
+    $con->exec("ALTER TABLE `scraped_competitor_prices` ADD COLUMN `duration_min` int DEFAULT NULL AFTER `distance_km`");
+} catch (Exception $e) {
+    // Columns might already exist, ignore error
+}
+
+
 // 2. Ten Key Regions in Damascus (Syria) and Amman (Jordan)
 $countriesConfig = [
    'SY' => [