Merge remote-tracking branch 'origin/feature/chatbot-sidebar' into dev
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@@ -88,9 +88,42 @@ class ChatbotController extends Controller
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try {
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// Panggil service untuk generate text
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$response = $this->openAIService->mainGenerateText($request->input('prompt'));
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$classifyResponse = $this->openAIService->classifyMainGenerateText($request->input('prompt'));
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info($classifyResponse);
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// Pastikan hasil klasifikasi valid sebelum melanjutkan
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$validCategories = [
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'reklame', 'business_or_industries', 'customers',
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'pbg', 'retribusi', 'spatial_plannings',
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'tourisms', 'umkms'
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];
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if (!in_array($classifyResponse, $validCategories)) {
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return response()->json([
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'error' => ''
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], 400);
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}
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$queryResponse = $this->openAIService->createMainQuery($classifyResponse, $request->input('prompt'));
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info($queryResponse);
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$firstValidation = $this->openAIService->validateSyntaxQuery($queryResponse);
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$secondValidation = $this->openAIService->validateSyntaxQuery($queryResponse);
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$formattedResultQuery = "[]";
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return response()->json(['response' => $response]);
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if($firstValidation === "VALID" && $secondValidation === "VALID")
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{
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$queryResponse = str_replace(['```sql', '```'], '', $queryResponse);
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$queryResult = DB::select($queryResponse);
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info($queryResult);
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$formattedResultQuery = json_encode($queryResult, JSON_PRETTY_PRINT);
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info($formattedResultQuery);
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}
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$nlpResult = $this->openAIService->generateNLPFromQuery($request->input('prompt'), $formattedResultQuery);
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$finalGeneratedText =$this->openAIService->generateFinalText($nlpResult);
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return response()->json(['response' => $finalGeneratedText]);
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} catch (\Exception $e) {
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// Tangani error dan log exception
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\Log::error("Error generating text: " . $e->getMessage());
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@@ -153,6 +153,72 @@ class OpenAIService
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return trim($response['choices'][0]['message']['content'] ?? 'No response');
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}
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public function classifyMainGenerateText($prompt) {
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$response = $this->client->chat()->create([
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'model' => 'gpt-4o-mini',
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'messages' => [
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[
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'role' => 'system',
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'content' => "You are an assistant that classifies text into one of the following categories:
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- reklame (ads or product/service promotions)
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- business_or_industries (business or industries in general)
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- customers (customers, consumers, or service users)
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- pbg (tasks related to Building Approval)
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- retribusi (retributions related to PBG)
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- spatial_plannings (spatial planning)
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- tourisms (tourism and tourist destinations)
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- umkms (Micro, Small, and Medium Enterprises)
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Respond with only one of the categories above without any additional explanation."
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],
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[
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'role' => 'user',
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'content' => "Classify the following text:\n\n" . $prompt
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],
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],
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]);
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return trim($response['choices'][0]['message']['content'] ?? 'No response');
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}
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public function createMainQuery($classify, $prompt)
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{
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// Load file JSON
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$jsonPath = public_path('templates/table_config.json');
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$jsonConfig = json_decode(file_get_contents($jsonPath), true);
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// Pastikan kategori tersedia dalam konfigurasi
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if (!isset($jsonConfig[$classify])) {
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return "Error: Kategori tidak ditemukan dalam konfigurasi.";
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}
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// Ambil nama tabel dan kolom
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$tableName = $jsonConfig[$classify]['table_name'];
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$columns = implode(', ', $jsonConfig[$classify]['list_column']);
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$response = $this->client->chat()->create([
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'model' => 'gpt-4o-mini',
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'messages' => [
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[
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'role' => 'system',
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'content' => "You are an AI assistant that generates only valid MariaDB queries based on user requests.
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Use the following table information to construct the SQL query:
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- Table Name: $tableName
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- Available Columns: $columns
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Generate only the SQL query without any explanation or additional text."
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],
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[
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'role' => 'user',
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'content' => $prompt
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],
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],
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]);
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return trim($response['choices'][0]['message']['content'] ?? 'No response');
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}
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public function mainGenerateText($prompt) {
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$response = $this->client->chat()->create([
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