app.py

import sys
import subprocess
import logging
import gradio as gr
import requests
import os
from typing import Dict, Tuple

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

def install(package):
    subprocess.check_call([sys.executable, "-m", "pip", "install", package])

required_packages = ['gradio', 'requests']
for package in required_packages:
    try:
        __import__(package)
    except ImportError:
        print(f"{package} not found. Installing...")
        install(package)

if not os.environ.get("CODEPAL_API_KEY"):
    print("Error: CODEPAL_API_KEY environment variable is not set.")
    print("Please set it and try again.")
    sys.exit(1)

# Constants
DEFAULTS = {
    "SYSTEM_MESSAGE": "You are CodePal.ai, an expert AI assistant specialized in helping programmers. You generate clean, efficient, and well-documented code based on user requirements.",
    "MAX_TOKENS": 4000,
    "TEMPERATURE": 0.7,
    "TOP_P": 0.95,
}

API_URLS = {
    "CODE_GENERATOR": "https://api.codepal.ai/v1/code-generator/query",
    "CODE_FIXER": "https://api.codepal.ai/v1/code-fixer/query",
    "CODE_EXTENDER": "https://api.codepal.ai/v1/code-extender/query",
}

def check_api_endpoints():
    for name, url in API_URLS.items():
        try:
            response = requests.head(url)
            if response.status_code == 200:
                print(f"{name} API endpoint is accessible.")
            else:
                print(f"Warning: {name} API endpoint returned status code {response.status_code}")
        except requests.RequestException as e:
            print(f"Error accessing {name} API endpoint: {str(e)}")

check_api_endpoints()

def get_api_key() -> str:
    """Fetch API key from environment variables."""
    return os.environ.get("CODEPAL_API_KEY", "")

def is_api_key_valid() -> bool:
    """Validate if the API key is set and not a placeholder."""
    api_key = get_api_key()
    return bool(api_key) and api_key != "YOUR_API_KEY"

def build_request_data(language: str, instructions: str, flavor: str, max_tokens: int, temperature: float, top_p: float) -> Dict:
    """Construct the request data for API calls."""
    return {
        "language": language,
        "instructions": instructions,
        "flavor": flavor,
        "max_tokens": max_tokens,
        "temperature": temperature,
        "top_p": top_p
    }

def handle_api_response(response) -> Tuple[bool, str]:
    """Handle API response and return success status and result."""
    if response.status_code != 200:
        error_message = "API request failed"
        try:
            error_data = response.json()
            error_message = error_data.get("error", error_message)
        except Exception:
            error_message = f"API request failed with status code {response.status_code}"
        return False, f"Error: {error_message}"

    result = response.json()
    if "error" in result:
        return False, f"Error: {result['error']}"
    
    return True, result["result"]

def generate_code(language: str, requirements: str, code_style: str, include_tests: bool,
                  max_tokens: int = DEFAULTS["MAX_TOKENS"],
                  temperature: float = DEFAULTS["TEMPERATURE"],
                  top_p: float = DEFAULTS["TOP_P"]) -> Tuple[bool, str]:
    """Generate code using CodePal.ai API."""
    try:
        if not is_api_key_valid():
            return False, "Error: CodePal.ai API key is not configured. Please set the CODEPAL_API_KEY environment variable."

        flavor = {
            "minimal": "minimal",
            "verbose": "documented"
        }.get(code_style, "standard") if code_style in ["minimal", "verbose"] else "tests" if include_tests else "standard"

        api_key = get_api_key()
        headers = {
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json"
        }

        data = build_request_data(language, requirements, flavor, max_tokens, temperature, top_p)
        response = requests.post(API_URLS["CODE_GENERATOR"], headers=headers, json=data)
        return handle_api_response(response)
    except Exception as e:
        logger.error(f"Error in generate_code: {str(e)}")
        return False, f"Error: {str(e)}"

# Launch the app (if applicable)
if __name__ == "__main__":
    try:
        app.launch(share=True)  # Modify based on your application's entry point
    except Exception as e:
        print(f"Error starting the Gradio application: {str(e)}")
        sys.exit(1)