78 lines
2.4 KiB
PHP
78 lines
2.4 KiB
PHP
<?php
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namespace App\Http\Controllers\Public;
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use App\Http\Controllers\Controller;
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use App\Models\Classification;
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use Illuminate\Http\Request;
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use Illuminate\Support\Facades\Http;
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class ClassificationController extends Controller
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{
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public function index()
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{
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$classifications = Classification::where('user_id', auth()->id())->get();
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return inertia('user/classification/ClassificationIndex', [
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'classifications' => $classifications,
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]);
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}
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public function predict(Request $request)
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{
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$request->validate([
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'image' => 'required|image|max:2048',
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]);
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$image = $request->file('image');
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try {
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// 1. Kirim ke AI Server untuk prediksi
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$response = Http::attach(
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'image',
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file_get_contents($image),
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$image->getClientOriginalName()
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)->post('http://127.0.0.1:5001/predict');
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if ($response->failed()) {
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return response()->json(['error' => 'Gagal terhubung ke AI server'], 500);
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}
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$data = $response->json();
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// 2. Jika sukses, simpan gambar dan hasil ke database
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$path = $image->store('classifications', 'public');
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Classification::create([
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'user_id' => auth()->id() ?? null,
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'image_path' => $path,
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'result' => $data['label'],
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'confidence' => (float) filter_var($data['confidence'], FILTER_SANITIZE_NUMBER_FLOAT, FILTER_FLAG_ALLOW_FRACTION),
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]);
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return response()->json([
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'label' => $data['label'],
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'confidence' => $data['confidence'],
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'message' => 'Hasil klasifikasi berhasil disimpan'
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]);
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} catch (\Exception $e) {
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return response()->json(['error' => 'Terjadi kesalahan: ' . $e->getMessage()], 500);
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}
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}
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public function destroy(Classification $classification)
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{
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if ($classification->user_id !== auth()->id()) {
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abort(403);
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}
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// Hapus file dari storage jika ada
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if ($classification->image_path && \Storage::disk('public')->exists($classification->image_path)) {
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\Storage::disk('public')->delete($classification->image_path);
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}
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$classification->delete();
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return back()->with('success', 'Klasifikasi berhasil dihapus');
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}
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} |