import gradio as gr import os from pathlib import Path import subprocess import requests import json import time import asyncio from datetime import datetime import textwrap import google.generativeai as genai from typing import Generator, AsyncGenerator, List from openai import AsyncOpenAI import dotenv # Load environment variables dotenv.load_dotenv() # Metadata CURRENT_TIME = "2025-05-23 12:57:22" CURRENT_USER = "ErRickow" # Default API Keys (fallback if user doesn't provide their own) DEFAULT_XAI_KEY = os.getenv("XAI_API_KEY", "xai-vfjhklL384Z4HKdItsZomqpFlXubTZJAFnISQUpV7dE8lRnWwYBVPSCxSTlu08wDbAcv720bx2dDiQ9x") DEFAULT_GEMINI_KEY = os.getenv("GEMINI_API_KEY") # API settings OLLAMA_API = os.environ.get("OLLAMA_API", "http://localhost:11434") XAI_BASE_URL = "https://api.x.ai/v1" # Model lists OLLAMA_MODELS = [ "llama2", "codellama", "mistral", "neural-chat", "starling-lm", "dolphin-phi", "phi", "orca-mini" ] XAI_MODELS = [ "grok-2-latest", "grok-1", ] GEMINI_MODELS = [ "gemini-1.5-mini", "gemini-pro-vision", ] GITHUB_TOKEN_HELP = """ ### Cara Mendapatkan GitHub Token: 1. Kunjungi [GitHub Token Settings](https://github.com/settings/tokens) 2. Klik "Generate new token" > "Generate new token (classic)" 3. Beri nama token Anda di "Note" 4. Pilih scope: - `repo` (untuk akses repository private) - `read:packages` (opsional, untuk akses package) 5. Klik "Generate token" 6. **PENTING**: Salin token segera! Token hanya ditampilkan sekali Token diperlukan untuk: - Mengakses repository private - Clone repository dengan rate limit lebih tinggi - Mengakses fitur GitHub API """ GEMINI_API_HELP = """ ### Cara Mendapatkan Gemini API Key: 1. Kunjungi [Google AI Studio](https://makersuite.google.com/app/apikey) 2. Login dengan akun Google Anda 3. Klik "Create API Key" 4. Salin API Key yang dihasilkan Catatan: - Gemini memberikan kuota gratis setiap bulan - Key bisa dibuat ulang jika diperlukan - Monitor penggunaan di [Google Cloud Console](https://console.cloud.google.com/) """ OLLAMA_HELP = """ ### Cara Menggunakan Ollama: 1. Install Ollama dari [ollama.ai](https://ollama.ai) 2. Jalankan Ollama di komputer Anda 3. Pastikan Ollama berjalan di http://localhost:11434 Catatan: - Ollama berjalan secara lokal di komputer Anda - Tidak memerlukan API key - Ideal untuk privasi dan penggunaan offline """ # Help texts XAI_API_HELP = """ ### Cara Mendapatkan X.AI (Grok) API Key: 1. Kunjungi [X.AI Developer Portal](https://x.ai) 2. Daftar/Login ke akun Anda 3. Buat API Key baru 4. Salin API Key Note: - Jika tidak diisi, akan menggunakan API key default - Masukkan API key Anda sendiri jika default mencapai limit """ class AIProvider: OLLAMA = "ollama" GEMINI = "gemini" XAI = "xai" class RepoAnalyzer: def __init__(self): self.current_repo = None self.repo_content = {} self.chat_history = [] async def stream_xai_response(self, prompt: str, api_key: str = None, model: str = "grok-2-latest") -> AsyncGenerator[str, None]: """Stream response dari X.AI (Grok) API""" try: # Use default key if none provided actual_key = api_key if api_key else DEFAULT_XAI_KEY if not actual_key: yield "⚠️ API Key X.AI diperlukan. Gunakan key Anda sendiri atau tunggu reset limit default key." return client = AsyncOpenAI( api_key=actual_key, base_url=XAI_BASE_URL ) # Prepare messages with repository context if available messages = [ {"role": "system", "content": "Anda adalah asisten AI yang membantu menganalisis repository code. Berikan respons dalam Bahasa Indonesia."} ] if self.current_repo: context = f"Repository: {self.current_repo}\n\n" repo_files = "\n".join(list(self.repo_content.keys())) context += f"Files in repository:\n{repo_files}\n\n" messages.append({"role": "system", "content": context}) messages.append({"role": "user", "content": prompt}) stream = await client.chat.completions.create( model=model, messages=messages, stream=True ) full_response = "" async for chunk in stream: if chunk.choices[0].delta.content: content = chunk.choices[0].delta.content full_response += content yield content self.chat_history.append({"role": "user", "content": prompt}) self.chat_history.append({"role": "assistant", "content": full_response}) except Exception as e: error_msg = f"⚠️ Error dalam X.AI API: {str(e)}" print(error_msg) yield error_msg async def stream_gemini_response(self, prompt: str, api_key: str) -> AsyncGenerator[str, None]: """Stream response dari Gemini API""" try: if not api_key: yield "⚠️ API Key Gemini diperlukan. Klik icon bantuan (?) di samping input API Key untuk panduan mendapatkan key." return genai.configure(api_key=api_key) model = genai.GenerativeModel('gemini-pro') # Tambahkan konteks repository jika ada if self.current_repo: context = f"Repository: {self.current_repo}\n\n" repo_files = "\n".join(list(self.repo_content.keys())) context += f"Files in repository:\n{repo_files}\n\n" prompt = context + prompt response = model.generate_content( prompt, generation_config={ "temperature": 0.7, "top_p": 0.8, "top_k": 40 }, stream=True ) full_response = "" async for chunk in response: if chunk.text: full_response += chunk.text yield chunk.text self.chat_history.append({"role": "user", "content": prompt}) self.chat_history.append({"role": "assistant", "content": full_response}) except Exception as e: error_msg = f"⚠️ Error dalam Gemini API: {str(e)}\n\nPastikan API Key valid dan memiliki kuota yang cukup." print(error_msg) yield error_msg def clone_repository(self, repo_url: str, github_token: str, branch: str = None) -> tuple[bool, str]: """Clone repository GitHub dengan autentikasi""" if not repo_url: return False, "⚠️ URL repository diperlukan" repo_name = repo_url.split('/')[-1].replace('.git', '') if os.path.exists(repo_name): subprocess.run(['rm', '-rf', repo_name], check=True) try: owner_repo = '/'.join(repo_url.split('/')[-2:]) # Cek apakah repository private headers = {'Authorization': f'token {github_token}'} if github_token else {} repo_check = requests.get(f"https://api.github.com/repos/{owner_repo}", headers=headers) if repo_check.status_code == 404: return False, "⚠️ Repository tidak ditemukan. Periksa URL repository." elif repo_check.status_code == 401: return False, "⚠️ Token GitHub tidak valid. Klik icon bantuan (?) untuk panduan mendapatkan token." elif repo_check.status_code == 403 and repo_check.json().get('private', False): return False, "⚠️ Ini adalah repository private. Token GitHub dengan akses 'repo' diperlukan." auth_url = f"https://{github_token}@github.com/{owner_repo}" if github_token else f"https://github.com/{owner_repo}" cmd = ['git', 'clone'] if branch: cmd.extend(['--branch', branch]) cmd.append(auth_url) process = subprocess.run( cmd, capture_output=True, text=True, env=dict(os.environ, GIT_ASKPASS='echo', GIT_TERMINAL_PROMPT='0') ) if process.returncode == 0: self.current_repo = repo_name # Scan dan simpan konten repository file_count = 0 for file_path in Path(repo_name).rglob('*'): if file_path.is_file() and '.git' not in str(file_path): success, content = self.read_file_safely(str(file_path)) if success: self.repo_content[str(file_path)] = content file_count += 1 return True, f"✅ Repository berhasil di-clone!\n\nNama: {repo_name}\nJumlah file: {file_count}\n\nAnda sekarang bisa mengajukan pertanyaan tentang repository ini." else: return False, f"⚠️ Gagal clone repository:\n{process.stderr}" except Exception as e: return False, f"⚠️ Error: {str(e)}" def read_file_safely(self, file_path: str) -> tuple[bool, str]: """Baca file dengan aman menggunakan berbagai encoding""" encodings = ['utf-8', 'latin-1', 'cp1252'] for encoding in encodings: try: with open(file_path, 'r', encoding=encoding) as f: content = f.read() return True, content except Exception as e: continue return False, "Tidak dapat membaca file dengan encoding yang didukung" async def handle_chat(message, history, provider_choice, model_name, xai_key, gemini_key, selected_files): if not analyzer.current_repo: yield history + [[message, "⚠️ Mohon clone repository terlebih dahulu sebelum mengajukan pertanyaan."]] return history = history or [] history.append([message, ""]) try: # Add context about selected files to the prompt file_context = "" if selected_files: file_context = "\n\nFile yang dipilih:\n" for file in selected_files: content = analyzer.repo_content.get(file, "") escaped_content = content.replace('`', r'\`') html = ( '
{content}'
'{code}'
'Nama: {analyzer.current_repo}
Jumlah file: {len(files)}
Status: Siap untuk analisis