102 lines
3.3 KiB
PHP
102 lines
3.3 KiB
PHP
<?php
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namespace App\Jobs;
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use Illuminate\Bus\Queueable;
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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\DB;
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use Illuminate\Support\Facades\Http;
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use Illuminate\Support\Facades\Log;
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use Illuminate\Support\Facades\Storage;
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class ReextractAllFrames implements ShouldQueue
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{
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use Dispatchable, InteractsWithQueue, Queueable, SerializesModels;
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public $timeout = 3600;
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public function handle(): void
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{
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Log::info("Memulai re-extract frames untuk semua user...");
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$users = DB::table('data_wajah')
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->whereNotNull('path_video')
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->get();
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if ($users->isEmpty()) {
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Log::info("Tidak ada user dengan video. Skip re-extract.");
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return;
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}
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$successCount = 0;
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$failCount = 0;
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foreach ($users as $data) {
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$userId = $data->id_user;
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$videoPath = Storage::disk('local')->path($data->path_video);
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if (!file_exists($videoPath)) {
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Log::warning("Video tidak ditemukan untuk user {$userId}: {$videoPath}");
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$failCount++;
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continue;
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}
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try {
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$response = Http::timeout(120)
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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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->attach(
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'video',
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fopen($videoPath, 'r'),
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'enrollment.mp4'
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)
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->post(config('services.flask.url') . '/extract-frames', [
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'user_id' => (string) $userId,
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'target_frames' => 200,
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]);
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if (!$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']) || $output['status'] !== 'success') {
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throw new \Exception("Extract error: " . ($output['message'] ?? 'Unknown'));
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}
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$jumlahFrame = $output['total_extracted'] ?? 0;
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DB::table('data_wajah')->where('id_user', $userId)->update([
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'jumlah_frame' => $jumlahFrame,
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]);
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Log::info("Re-extract berhasil untuk user {$userId}. Frames: {$jumlahFrame}");
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$successCount++;
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} catch (\Exception $e) {
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Log::error("Re-extract GAGAL untuk user {$userId}: " . $e->getMessage());
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$failCount++;
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}
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}
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Log::info("Re-extract selesai. Berhasil: {$successCount}, Gagal: {$failCount}");
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app(\App\Services\NotifikasiService::class)->kirimKeRole(
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'hrd',
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'pengumuman',
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'Ekstraksi Wajah Selesai',
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"Proses re-extract video wajah selesai. Berhasil: {$successCount}, Gagal: {$failCount}."
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);
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if ($successCount > 0) {
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dispatch(new RetrainAllModels());
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Log::info("Training model global di-trigger setelah re-extract.");
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}
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}
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}
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