101 lines
3.3 KiB
PHP
101 lines
3.3 KiB
PHP
<?php
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namespace App\Jobs;
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use App\Enums\StatusVerifikasiWajah;
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use Illuminate\Bus\Queueable;
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use Illuminate\Contracts\Queue\ShouldBeUnique;
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use Illuminate\Contracts\Queue\ShouldQueue;
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use Illuminate\Foundation\Bus\Dispatchable;
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use Illuminate\Queue\InteractsWithQueue;
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use Illuminate\Queue\SerializesModels;
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use Illuminate\Support\Facades\Cache;
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use Illuminate\Support\Facades\DB;
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use Illuminate\Support\Facades\Http;
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use Illuminate\Support\Facades\Log;
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class RetrainAllModels implements ShouldQueue, ShouldBeUnique
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{
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use Dispatchable, InteractsWithQueue, Queueable, SerializesModels;
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public $timeout = 3600;
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public $uniqueFor = 300;
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public function handle(): void
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{
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Log::info("Memulai training model SVM multi-class global...");
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Cache::put('face_training_status', [
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'phase' => 'training',
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'message' => 'Memulai training model SVM...',
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], 3600);
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$approvedUsers = DB::table('data_wajah')
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->where('is_verified', StatusVerifikasiWajah::APPROVED)
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->pluck('id_user')
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->toArray();
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if (count($approvedUsers) === 0) {
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Log::info("Tidak ada user approved. Skip training.");
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return;
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}
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$approvedStr = array_map('strval', $approvedUsers);
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try {
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$response = Http::timeout(600)
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->withHeaders([
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'X-API-Key' => config('services.flask.api_key'),
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])
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->post(config('services.flask.url') . '/train-model', [
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'approved_user_ids' => $approvedStr,
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]);
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if (!$response->successful()) {
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throw new \Exception("Flask API error: HTTP {$response->status()} - " . $response->body());
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}
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$output = $response->json();
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if (!isset($output['status']) || $output['status'] !== 'success') {
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throw new \Exception("Training error: " . ($output['message'] ?? 'Unknown'));
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}
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$totalUsers = $output['total_users'] ?? 0;
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$testAcc = $output['test_accuracy'] ?? 0;
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Log::info("Training model global selesai. Total user: {$totalUsers}");
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Cache::put('face_training_status', [
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'phase' => 'done',
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'message' => "Training selesai! {$totalUsers} user, Akurasi: " . round($testAcc * 100, 2) . '%',
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], 300);
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app(\App\Services\NotifikasiService::class)->kirimKeRole(
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'hrd',
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'training',
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'Training Model Selesai',
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"Sistem telah berhasil memperbarui model AI Face Recognition untuk {$totalUsers} karyawan.",
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[],
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false
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);
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} catch (\Exception $e) {
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Log::error("Training model global GAGAL: " . $e->getMessage());
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Cache::put('face_training_status', [
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'phase' => 'error',
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'message' => 'Training gagal: ' . $e->getMessage(),
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], 300);
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app(\App\Services\NotifikasiService::class)->kirimKeRole(
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'hrd',
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'training',
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'Training Model Gagal',
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'Terjadi kesalahan saat melatih ulang model AI. Silakan cek log server.',
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[],
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false
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);
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}
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}
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}
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