feature: chatbot
This commit is contained in:
84
app/Http/Controllers/Api/ChatbotController.php
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84
app/Http/Controllers/Api/ChatbotController.php
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<?php
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namespace App\Http\Controllers\Api;
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use Illuminate\Http\Request;
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use App\Services\OpenAIService;
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use App\Http\Controllers\Controller;
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use Illuminate\Http\Response;
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use Illuminate\Support\Facades\DB;
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class ChatbotController extends Controller
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{
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protected $openAIService;
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public function __construct(OpenAIService $openAIService)
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{
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$this->openAIService = $openAIService;
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}
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public function generateText(Request $request)
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{
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info($request);
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$request->validate([
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'tab_active' => 'required|string',
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'prompt' => 'required|string',
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]);
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$tab_active = $request->input('tab_active');
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$main_content = match ($tab_active) {
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"count-retribusi" => "RETRIBUTION",
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"document-validation" => "DOCUMENT VALIDATION",
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"data-information" => "DATA SUMMARY",
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default => "UNKNOWN",
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};
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if ($main_content === "UNKNOWN") {
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return response()->json(['response' => 'Invalid tab_active value.'], 400);
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}
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info($main_content);
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// Klasifikasi apakah pertanyaan butuh database atau bisa dijawab langsung
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$classifyResponse = $this->openAIService->generateClassifyMainContent($request->input('prompt'), $main_content);
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if ($classifyResponse === "DATABASE") {
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$queryResponse = $this->openAIService->generateQueryBasedMainContent($request->input('prompt'), $main_content);
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if (is_array($queryResponse)) {
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info('Query Response is an array: ', $queryResponse);
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} else {
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info('Query Response is a string: ' . $queryResponse);
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}
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// Validasi query dua kali sebelum eksekusi
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if (
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$this->openAIService->validateSyntaxQuery($queryResponse) === "VALID" &&
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$this->openAIService->validateSyntaxQuery($queryResponse) === "VALID"
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) {
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info($queryResponse);
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$queryResponse = str_replace(['```sql', '```'], '', $queryResponse);
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$resultQuery = DB::select($queryResponse);
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$formattedResultQuery = json_encode($resultQuery, JSON_PRETTY_PRINT);
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$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' => $finalGeneratedText]);
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}
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return response()->json(['response' => ''], 400);
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}
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if ($classifyResponse === "GENERAL") {
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$nlpResult = $this->openAIService->generateGeneralText($request->input('prompt'), $main_content);
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$finalGeneratedText =$this->openAIService->generateFinalText($nlpResult);
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return response()->json(['response' => $finalGeneratedText]);
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}
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return response()->json(['response' => ''], 500);
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}
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private function classifyContent(string $prompt) {
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$classifyResponse = $this->openAIService->generateClassifyContent($prompt);
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return $classifyResponse;
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}
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}
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17
app/Http/Controllers/Chatbot/ChatbotController.php
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17
app/Http/Controllers/Chatbot/ChatbotController.php
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<?php
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namespace App\Http\Controllers\Chatbot;
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use App\Http\Controllers\Controller;
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use Illuminate\Http\Request;
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class ChatbotController extends Controller
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{
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/**
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* Displya a listing of the resource
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*/
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public function index()
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{
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return view('chatbot.index');
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}
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}
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157
app/Services/OpenAIService.php
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157
app/Services/OpenAIService.php
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<?php
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namespace App\Services;
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use OpenAI;
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use Illuminate\Support\Facades\Storage;
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class OpenAIService
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{
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protected $client;
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public function __construct()
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{
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$this->client = OpenAI::client(env('OPENAI_API_KEY'));
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}
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public function generateGeneralText($prompt, $mainContent)
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{
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$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 expert assistant. Your task is to generate a concise response based on the provided prompt and main content.
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Guidelines:
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- Summarize the key points in exactly 5 bullet points.
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- Ensure the response is clear and relevant to the prompt.
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- Use simple and professional language."
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],
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['role' => 'user', 'content' => "Prompt: $prompt \nMain Content: $mainContent"],
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],
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]);
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return trim($response['choices'][0]['message']['content'] ?? 'No response');
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}
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public function generateClassifyMainContent($prompt, $mainContent)
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{
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$response = $this->client->chat()->create([
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'model' => 'gpt-4o-mini',
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'messages' => [
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[
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'role' => 'system',
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'content' => "You are an expert assistant in classifying questions based on whether their answers must be retrieved from a database or can be explained generally.
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Your task is to return one of the following two labels:
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- \"DATABASE\" → If the question requires specific data that can only be obtained from a database.
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- \"GENERAL\" → If the question can be answered without accessing a database.
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Consider the following context: \"$mainContent\"
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Respond with only one of the labels: \"DATABASE\" or \"GENERAL\"."
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],
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['role' => 'user', 'content' => $prompt],
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],
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]);
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return trim($response['choices'][0]['message']['content'] ?? 'No response');
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}
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public function generateQueryBasedMainContent($prompt, $mainContent)
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{
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// Load file JSON
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$jsonPath = public_path('templates/contentTemplatePrompt.json'); // Sesuaikan path
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$jsonData = json_decode(file_get_contents($jsonPath), true);
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// Periksa apakah kategori ada dalam JSON
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if (!isset($jsonData[$mainContent])) {
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return "Template prompt tidak ditemukan.";
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}
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// Ambil template berdasarkan kategori
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$promptTemplate = $jsonData[$mainContent]['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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['role' => 'system', 'content' => $promptTemplate],
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['role' => 'user', 'content' => $prompt],
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],
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]);
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return trim($response['choices'][0]['message']['content'] ?? 'No response');
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}
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public function validateSyntaxQuery($queryResponse)
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{
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$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 a MariaDB SQL expert. Your task is to validate the syntax of an SQL query to ensure it follows proper MariaDB syntax rules.
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Guidelines:
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- Check for any syntax errors, missing keywords, or incorrect clause usage.
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- Ensure the query is well-structured and adheres to best practices.
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- Verify that all SQL keywords are used correctly and in the right order.
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- If the query is valid, respond with: \"VALID\".
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- If the query has issues, respond with: \"INVALID\".
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Always respond with either \"VALID\" or \"INVALID\"."
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],
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['role' => 'user', 'content' => $queryResponse],
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],
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]);
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return trim($response['choices'][0]['message']['content'] ?? 'No response');
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}
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public function generateNLPFromQuery($inputUser, $resultQuery) {
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$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 expert assistant. Your task is to analyze the database query results and transform them into a human-readable answer based on the user's question.
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Guidelines:
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- Understand the user's question and extract the key intent.
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- Summarize or format the query results to directly answer the user's question.
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- Ensure the response is clear, concise, and relevant.
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- If the query result is empty or does not match the question, provide a polite response indicating that no data is available.
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Always provide a well-structured response that makes sense based on the input question."
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],
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['role' => 'user', 'content' => "User's question: $inputUser \nDatabase result: $resultQuery"],
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],
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]);
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return trim($response['choices'][0]['message']['content'] ?? 'No response');
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}
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public function generateFinalText($nlpResult) {
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$response = $this->client->chat()->create([
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'model' => 'gpt-4o-mini',
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'messages' => [
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[
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'role' => 'system',
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'content' => "You are an expert text formatter. Your task is to take the given NLP result and format it into a structured, human-readable text suitable for rendering inside an HTML <div>.
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Guidelines:
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- Preserve the meaning and clarity of the content.
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- Use proper line breaks for readability.
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- If the text contains lists, convert them into bullet points.
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- Emphasize important keywords using <strong> tags if necessary.
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- Ensure the response remains clean and concise without extra explanations."
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],
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['role' => 'user', 'content' => "Here is the NLP result that needs formatting:\n\n$nlpResult"],
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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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}
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