88 lines
3.2 KiB
PHP
88 lines
3.2 KiB
PHP
<?php
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/**
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* get_price_gap_heatmap.php
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* يجلب بيانات الخريطة الحرارية (Price Gap Heatmap) لعرضها في تطبيق Flutter
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*/
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require_once __DIR__ . '/../../connect.php';
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if ($role !== 'admin' && $role !== 'super_admin') {
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http_response_code(403);
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echo json_encode(['status' => 'failure', 'message' => 'Unauthorized']);
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exit;
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}
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try {
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$countryCode = resolveAdminCountry(filterRequest('country_code'), $role, $admin_country ?? null);
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if (!$countryCode) {
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jsonError("Missing required parameter: country_code");
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exit;
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}
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// Determine current Siro speed price
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$sqlKazan = "SELECT speedPrice FROM kazan WHERE country = :country LIMIT 1";
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$stmtKazan = $con->prepare($sqlKazan);
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$countryNameMap = ['SY' => 'Syria', 'JO' => 'Jordan', 'EG' => 'Egypt', 'IQ' => 'Iraq'];
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$stmtKazan->execute([':country' => $countryNameMap[strtoupper($countryCode)] ?? 'Syria']);
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$kazanRow = $stmtKazan->fetch(PDO::FETCH_ASSOC);
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$currentSpeedPrice = $kazanRow ? (float)$kazanRow['speedPrice'] : 0;
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if ($currentSpeedPrice <= 0) {
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jsonError("Siro base price not configured for this country.");
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exit;
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}
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// Aggregate competitor data by geographical grid (approx 1.5km x 1.5km)
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$sql = "SELECT
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ROUND(from_latitude * 74, 0) / 74 AS lat_group,
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ROUND(from_longitude * 74, 0) / 74 AS lng_group,
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AVG(price_per_km) as avg_competitor_price_per_km,
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COUNT(*) as trip_count
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FROM competitor_prices
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WHERE country_code = :country
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AND distance_km > 0
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AND created_at >= DATE_SUB(NOW(), INTERVAL 7 DAY)
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GROUP BY lat_group, lng_group
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HAVING trip_count >= 3"; // Require at least 3 trips for a reliable heatmap point
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$stmt = $con->prepare($sql);
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$stmt->execute([':country' => strtoupper($countryCode)]);
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$grids = $stmt->fetchAll(PDO::FETCH_ASSOC);
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$heatmapData = [];
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foreach ($grids as $grid) {
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$compPricePerKm = (float)$grid['avg_competitor_price_per_km'];
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if ($compPricePerKm <= 0) continue;
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// Calculate PCI for this specific grid
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// PCI < 1 means we are cheaper. PCI > 1 means we are more expensive.
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$pci = round($currentSpeedPrice / $compPricePerKm, 2);
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// Calculate the "weight" for the heatmap renderer
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// E.g. -1 (We are 100% cheaper) to +1 (We are 100% more expensive)
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$weight = round($pci - 1.0, 2);
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// Clamp between -1 and 1
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$weight = max(-1.0, min(1.0, $weight));
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$heatmapData[] = [
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'lat' => (float)$grid['lat_group'],
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'lng' => (float)$grid['lng_group'],
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'pci' => $pci,
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'weight' => $weight, // Negative = Green (Cheaper), Positive = Red (More expensive)
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'sample_size' => (int)$grid['trip_count']
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];
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}
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jsonSuccess([
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'total_heatmap_points' => count($heatmapData),
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'current_siro_price_per_km' => $currentSpeedPrice,
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'heatmap_data' => $heatmapData
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]);
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} catch (Exception $e) {
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error_log("[get_price_gap_heatmap] Error: " . $e->getMessage());
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jsonError("Failed to generate heatmap data");
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}
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