import subprocess
from pathlib import Path
import requests
from tqdm import tqdm

class Install:
    def __init__(self, api):
        # Get the current directory
        current_dir = Path(__file__).resolve().parent
        install_file = current_dir / ".installed"

        if not install_file.exists():
            print("-------------- GPTj backend by marella -------------------------------")
            print("This is the first time you are using this backend.")
            print("Installing ...")
            try:
                print("Checking pytorch")
                import torch
                import torchvision
                if torch.cuda.is_available():
                    print("CUDA is supported.")
                else:
                    print("CUDA is not supported. Reinstalling PyTorch with CUDA support.")
                    self.reinstall_pytorch_with_cuda()
            except Exception as ex:
                self.reinstall_pytorch_with_cuda()
            # Step 2: Install dependencies using pip from requirements.txt
            requirements_file = current_dir / "requirements.txt"
            subprocess.run(["pip", "install", "--no-cache-dir", "-r", str(requirements_file)])
            
            # Create ther models folder
            models_folder = Path("./models/c_transformers")
            models_folder.mkdir(exist_ok=True, parents=True)
            
            #Create the install file             
            with open(install_file,"w") as f:
                f.write("ok")
            print("Installed successfully")
            
    def reinstall_pytorch_with_cuda(self):
        subprocess.run(["pip", "install", "torch", "torchvision", "torchaudio", "--no-cache-dir", "--index-url", "https://download.pytorch.org/whl/cu117"])