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fix: inserting chat history into the answer generation process

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This commit is contained in:
@jamaludinarifrohman6661
2025-03-06 11:06:45 +07:00
parent 15210a56ee
commit 3f5d0eb1cd
5 changed files with 198 additions and 150 deletions
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216
app/Services/OpenAIService.php
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@@ -4,6 +4,7 @@ namespace App\Services;
use OpenAI;
use Illuminate\Support\Facades\Storage;
use Illuminate\Support\Facades\Log;
class OpenAIService
{
@@ -11,54 +12,11 @@ class OpenAIService
public function __construct()
{
// $this->client = OpenAI::client(env('OPENAI_API_KEY'));
$this->client = OpenAI::client(env('OPENAI_API_KEY'));
}
public function generateGeneralText($prompt, $mainContent)
{
$response = $this->client->chat()->create([
'model' => 'gpt-4o-mini',
'messages' => [
[
'role' => 'system',
'content' => "You are an expert assistant. Your task is to generate a concise response based on the provided prompt and main content.
Guidelines:
- Summarize the key points in exactly 5 bullet points.
- Ensure the response is clear and relevant to the prompt.
- Use simple and professional language."
],
['role' => 'user', 'content' => "Prompt: $prompt \nMain Content: $mainContent"],
],
]);
return trim($response['choices'][0]['message']['content'] ?? 'No response');
}
public function generateClassifyMainContent($prompt, $mainContent)
{
$response = $this->client->chat()->create([
'model' => 'gpt-4o-mini',
'messages' => [
[
'role' => 'system',
'content' => "You are an expert assistant in classifying questions based on whether their answers must be retrieved from a database or can be explained generally.
Your task is to return one of the following two labels:
- \"DATABASE\" → If the question requires specific data that can only be obtained from a database.
- \"GENERAL\" → If the question can be answered without accessing a database.
Consider the following context: \"$mainContent\"
Respond with only one of the labels: \"DATABASE\" or \"GENERAL\"."
],
['role' => 'user', 'content' => $prompt],
],
]);
return trim($response['choices'][0]['message']['content'] ?? 'No response');
}
public function generateQueryBasedMainContent($prompt, $mainContent)
public function generateQueryBasedMainContent($prompt, $mainContent, $chatHistory)
{
// Load file JSON
$jsonPath = public_path('templates/contentTemplatePrompt.json'); // Sesuaikan path
@@ -72,17 +30,59 @@ class OpenAIService
// Ambil template berdasarkan kategori
$promptTemplate = $jsonData[$mainContent]['prompt'];
// Menyusun pesan untuk OpenAI
$messages = [
['role' => 'system', 'content' => $promptTemplate],
];
// Menambahkan chat history sebagai konteks
foreach ($chatHistory as $chat) {
if (isset($chat['user'])) {
$messages[] = ['role' => 'user', 'content' => $chat['user']];
}
if (isset($chat['rawBotResponse'])) {
$messages[] = ['role' => 'assistant', 'content' => $chat['rawBotResponse']];
}
}
// Tambahkan prompt terbaru user
$messages[] = ['role' => 'user', 'content' => $prompt];
// Kirim request ke OpenAI API
$response = $this->client->chat()->create([
'model' => 'gpt-4o-mini',
'messages' => [
['role' => 'system', 'content' => $promptTemplate],
['role' => 'user', 'content' => $prompt],
],
'messages' => $messages,
]);
return trim($response['choices'][0]['message']['content'] ?? 'No response');
}
// public function generateQueryBasedMainContent($prompt, $mainContent, $chatHistory)
// {
// // Load file JSON
// $jsonPath = public_path('templates/contentTemplatePrompt.json'); // Sesuaikan path
// $jsonData = json_decode(file_get_contents($jsonPath), true);
// // Periksa apakah kategori ada dalam JSON
// if (!isset($jsonData[$mainContent])) {
// return "Template prompt tidak ditemukan.";
// }
// // Ambil template berdasarkan kategori
// $promptTemplate = $jsonData[$mainContent]['prompt'];
// $response = $this->client->chat()->create([
// 'model' => 'gpt-4o-mini',
// 'messages' => [
// ['role' => 'system', 'content' => $promptTemplate],
// ['role' => 'user', 'content' => $prompt],
// ],
// ]);
// return trim($response['choices'][0]['message']['content'] ?? 'No response');
// }
public function validateSyntaxQuery($queryResponse)
{
@@ -181,8 +181,8 @@ class OpenAIService
return trim($response['choices'][0]['message']['content'] ?? 'No response');
}
public function createMainQuery($classify, $prompt)
public function createMainQuery($classify, $prompt, $chatHistory)
{
// Load file JSON
$jsonPath = public_path('templates/table_config.json');
@@ -197,54 +197,80 @@ class OpenAIService
$tableName = $jsonConfig[$classify]['table_name'];
$columns = implode(', ', $jsonConfig[$classify]['list_column']);
// Konversi chatHistory ke dalam format messages
$messages = [
[
'role' => 'system',
'content' => "You are an AI assistant that generates only valid MariaDB queries based on user requests.
Use the following table information to construct the SQL query:
- Table Name: $tableName
- Available Columns: $columns
Generate only the SQL query without any explanation or additional text.
The query should include `LIMIT 10` to restrict the results."
]
];
// Menambahkan chat history sebagai konteks
foreach ($chatHistory as $chat) {
if (isset($chat['user'])) {
$messages[] = ['role' => 'user', 'content' => $chat['user']];
}
if (isset($chat['rawBotResponse'])) {
$messages[] = ['role' => 'assistant', 'content' => $chat['rawBotResponse']];
}
}
// Tambahkan prompt utama pengguna
$messages[] = ['role' => 'user', 'content' => $prompt];
// Kirim permintaan ke model AI
$response = $this->client->chat()->create([
'model' => 'gpt-4o-mini',
'messages' => [
[
'role' => 'system',
'content' => "You are an AI assistant that generates only valid MariaDB queries based on user requests.
Use the following table information to construct the SQL query:
- Table Name: $tableName
- Available Columns: $columns
Generate only the SQL query without any explanation or additional text."
],
[
'role' => 'user',
'content' => $prompt
],
],
'messages' => $messages
]);
return trim($response['choices'][0]['message']['content'] ?? 'No response');
}
public function mainGenerateText($prompt) {
$response = $this->client->chat()->create([
'model' => 'gpt-4o-mini',
'messages' => [
[
'role' => 'system',
'content' => "You are an expert assistant with deep knowledge in multiple fields, including programming, data science, and business strategy. Provide clear, concise, and accurate responses."
],
[
'role' => 'user',
'content' => $prompt
],
],
]);
return trim($response['choices'][0]['message']['content'] ?? 'No response');
}
// 1. Buat fungsi untuk akses data advertisements
// 2. Buat fungsi untuk akses data business_or_industries
// 3. Buat fungsi untuk akses data customers
// 4. Buat fungsi untuk akses data pbg_task
// 5. Buat fungsi untuk akses data pbg_task_retribution
// 6. Buat fungsi untuk akses data spatial_plannings
// 7. Buat fungsi untuk akses data tourisms
// 8. Buat fungsi untuk akses data umkms
// public function createMainQuery($classify, $prompt)
// {
// // Load file JSON
// $jsonPath = public_path('templates/table_config.json');
// $jsonConfig = json_decode(file_get_contents($jsonPath), true);
// // Pastikan kategori tersedia dalam konfigurasi
// if (!isset($jsonConfig[$classify])) {
// return "Error: Kategori tidak ditemukan dalam konfigurasi.";
// }
// // Ambil nama tabel dan kolom
// $tableName = $jsonConfig[$classify]['table_name'];
// $columns = implode(', ', $jsonConfig[$classify]['list_column']);
// $response = $this->client->chat()->create([
// 'model' => 'gpt-4o-mini',
// 'messages' => [
// [
// 'role' => 'system',
// 'content' => "You are an AI assistant that generates only valid MariaDB queries based on user requests.
// Use the following table information to construct the SQL query:
// - Table Name: $tableName
// - Available Columns: $columns
// Generate only the SQL query without any explanation or additional text
// The query should include `LIMIT 10` to restrict the results."
// ],
// [
// 'role' => 'user',
// 'content' => $prompt
// ],
// ],
// ]);
// return trim($response['choices'][0]['message']['content'] ?? 'No response');
// }
}