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custom_nodes
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import os
import sys
import subprocess
import zipfile
from huggingface_hub import hf_hub_download
from huggingface_hub.utils import (
    RepositoryNotFoundError,
    EntryNotFoundError,
    HfHubHTTPError,
    LocalEntryNotFoundError
)

def run_command(command):
    """Run a shell command and print its output"""
    process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, universal_newlines=True)
    for line in process.stdout:
        print(line, end='')
    process.wait()
    return process.returncode

def install_comfyui():
    """First-time installation of ComfyUI and models to Google Drive"""
    # Mount Google Drive
    print("Mounting Google Drive...")
    from google.colab import drive
    drive.mount('/content/drive')
    
    # Create ComfyUI directory in Google Drive
    COMFYUI_DRIVE_PATH = "/content/drive/MyDrive/ComfyUI"
    os.makedirs(COMFYUI_DRIVE_PATH, exist_ok=True)
    
    # Clone ComfyUI repository
    print("\nCloning ComfyUI repository...")
    run_command("git clone https://github.com/comfyanonymous/ComfyUI /content/ComfyUI")
    
    # Create and activate virtual environment
    print("\nSetting up virtual environment...")
    run_command("cd /content/ComfyUI && python -m venv venv")
    run_command("source /content/ComfyUI/venv/bin/activate && pip install --upgrade pip")
    
    # Install PyTorch and dependencies
    print("\nInstalling PyTorch and dependencies...")
    run_command("source /content/ComfyUI/venv/bin/activate && pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121")
    
    # Install additional packages
    print("\nInstalling additional packages...")
    packages = [
        "insightface", "onnxruntime-gpu", "wheel", "setuptools", "packaging", "ninja",
        "accelerate", "diffusers", "transformers", "mediapipe>=0.10.8", "huggingface-hub",
        "omegaconf", "einops", "opencv-python", "face-alignment", "decord",
        "ffmpeg-python>=0.2.0", "safetensors", "soundfile", "pytorch-lightning",
        "deepspeed", "flash-attn", "triton==3.2.0"
    ]
    
    for package in packages:
        run_command(f"source /content/ComfyUI/venv/bin/activate && pip install {package}")
    
    # Install requirements.txt
    run_command("source /content/ComfyUI/venv/bin/activate && pip install -r /content/ComfyUI/requirements.txt")
    
    # Install SageAttention
    print("\nInstalling SageAttention...")
    run_command("cd /content && git clone https://github.com/thu-ml/SageAttention")
    run_command("cd /content/SageAttention && export MAX_JOBS=4 && python setup.py install")
    
    # Create model directories
    print("\nCreating model directories...")
    model_dirs = ["checkpoints", "controlnet", "clip", "vae", "loras"]
    for dir_name in model_dirs:
        os.makedirs(os.path.join(COMFYUI_DRIVE_PATH, "models", dir_name), exist_ok=True)
    
    # Download models
    print("\nDownloading models...")
    BASE_DOWNLOAD_DIR = os.path.join(COMFYUI_DRIVE_PATH, "models")
    
    def download_and_process_item(repo_id, local_dir, filename, extract_and_delete=False, repo_type=None):
        try:
            print(f"Downloading {filename}...")
            file_path = hf_hub_download(
                repo_id=repo_id,
                filename=filename,
                repo_type=repo_type,
                local_dir=local_dir
            )
            
            if extract_and_delete and filename.endswith('.zip'):
                print(f"Extracting {filename}...")
                with zipfile.ZipFile(file_path, 'r') as zip_ref:
                    zip_ref.extractall(local_dir)
                os.remove(file_path)
                print(f"Extracted and removed {filename}")
            
            return True
        except Exception as e:
            print(f"Error downloading {filename}: {str(e)}")
            return False
    
    # Download tasks
    flux_dev_tasks = [
        # ControlNet models
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "Flux-Union-Pro2.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "controlnet")},
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "Flux1-controlnet-upscaler-Jasperai-fp8.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "controlnet")},
        # CLIP models
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "clip_l.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "clip")},
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "clip")},
        # VAE models
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "ae.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "vae")},
        # LoRA models
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "comfyui_portrait_lora64.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "loras")},
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "Maya_Lora_v1_000002500.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "loras")},
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "more_details.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "loras")},
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "FameGrid_Bold_SDXL_V1.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "loras")},
        # Checkpoints
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "epicrealism_naturalSinRC1VAE.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "checkpoints")},
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "epicrealism_pureEvolutionV3.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "checkpoints")},
        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "epicrealismXL_vxviLastfameRealism.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "checkpoints")}
    ]
    
    wanskyreels_tasks = [
        {"repo_id": "simwalo/WanSkyReelsFP8", "repo_type": "dataset", "filename": "wan2.1-fp8.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "checkpoints")}
    ]
    
    custom_nodes_tasks = [
        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "PersonMaskUltraV2.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "insightface.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "liveportrait.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "rembg.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "LLM.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "sams.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "ComfyUI-LatentSyncWrapper.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True}
    ]
    
    # Download all models
    for task in flux_dev_tasks + wanskyreels_tasks + custom_nodes_tasks:
        download_and_process_item(**task)
    
    # Copy ComfyUI to Google Drive
    print("\nCopying ComfyUI to Google Drive...")
    run_command(f"cp -r /content/ComfyUI/* {COMFYUI_DRIVE_PATH}/")
    
    print("\nInstallation complete! You can now use the startup function to run ComfyUI.")

def start_comfyui():
    """Start ComfyUI using the installation from Google Drive"""
    # Mount Google Drive
    print("Mounting Google Drive...")
    from google.colab import drive
    drive.mount('/content/drive')
    
    # Set paths
    COMFYUI_DRIVE_PATH = "/content/drive/MyDrive/ComfyUI"
    COMFYUI_LOCAL_PATH = "/content/ComfyUI"
    
    # Create local directory
    os.makedirs(COMFYUI_LOCAL_PATH, exist_ok=True)
    
    # Copy ComfyUI from Drive to local
    print("\nCopying ComfyUI from Google Drive...")
    run_command(f"cp -r {COMFYUI_DRIVE_PATH}/* {COMFYUI_LOCAL_PATH}/")
    
    # Create and activate virtual environment
    print("\nSetting up virtual environment...")
    run_command(f"cd {COMFYUI_LOCAL_PATH} && python -m venv venv")
    run_command(f"source {COMFYUI_LOCAL_PATH}/venv/bin/activate && pip install --upgrade pip")
    
    # Install PyTorch and dependencies
    print("\nInstalling PyTorch and dependencies...")
    run_command(f"source {COMFYUI_LOCAL_PATH}/venv/bin/activate && pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121")
    
    # Install additional packages
    print("\nInstalling additional packages...")
    packages = [
        "insightface", "onnxruntime-gpu", "wheel", "setuptools", "packaging", "ninja",
        "accelerate", "diffusers", "transformers", "mediapipe>=0.10.8", "huggingface-hub",
        "omegaconf", "einops", "opencv-python", "face-alignment", "decord",
        "ffmpeg-python>=0.2.0", "safetensors", "soundfile", "pytorch-lightning",
        "deepspeed", "flash-attn", "triton==3.2.0"
    ]
    
    for package in packages:
        run_command(f"source {COMFYUI_LOCAL_PATH}/venv/bin/activate && pip install {package}")
    
    # Install requirements.txt
    run_command(f"source {COMFYUI_LOCAL_PATH}/venv/bin/activate && pip install -r {COMFYUI_LOCAL_PATH}/requirements.txt")
    
    # Install SageAttention
    print("\nInstalling SageAttention...")
    run_command("cd /content && git clone https://github.com/thu-ml/SageAttention")
    run_command("cd /content/SageAttention && export MAX_JOBS=4 && python setup.py install")
    
    # Start ComfyUI
    print("\nStarting ComfyUI...")
    run_command(f"cd {COMFYUI_LOCAL_PATH} && source venv/bin/activate && python main.py --fast --use-pytorch-cross-attention --listen")

if __name__ == "__main__":
    print("ComfyUI Google Colab Helper")
    print("1. First-time installation (saves to Google Drive)")
    print("2. Quick startup (uses existing installation from Google Drive)")
    
    choice = input("Enter your choice (1 or 2): ")
    
    if choice == "1":
        install_comfyui()
    elif choice == "2":
        start_comfyui()
    else:
        print("Invalid choice. Please enter 1 or 2.")