check_env.py

#!/usr/bin/env python3
"""
Environment Check Script for ConversAI
Run this to diagnose configuration issues
"""
import os
import sys


def check_environment():
    """Check environment variables and configuration"""
    print("="*70)
    print("ConversAI Environment Check")
    print("="*70)
    print()

    # Check Python version
    print(f"Python Version: {sys.version}")
    print()

    # Check environment variables
    print("Environment Variables:")
    print("-" * 70)

    env_vars = {
        "HF_TOKEN": "HuggingFace Token (auto in PUBLIC Spaces)",
        "HUGGINGFACE_API_KEY": "HuggingFace API Key (manual)",
        "OPENAI_API_KEY": "OpenAI API Key",
        "ANTHROPIC_API_KEY": "Anthropic API Key",
        "LLM_PROVIDER": "Explicit LLM Provider",
        "LLM_MODEL": "Custom Model Name",
        "SPACE_ID": "HuggingFace Space ID (if in Space)"
    }

    has_any_key = False
    for var, description in env_vars.items():
        value = os.getenv(var)
        if value:
            has_any_key = True
            # Show first 10 chars for security
            preview = value[:10] + "..." if len(value) > 10 else value
            print(f"✅ {var:<25} SET ({preview})")
        else:
            print(f"❌ {var:<25} NOT SET")

    print()
    print("-" * 70)
    print()

    # Determine what will happen
    print("Configuration Status:")
    print("-" * 70)

    if not has_any_key:
        print("❌ NO CREDENTIALS FOUND")
        print()
        print("The app will NOT work without LLM credentials.")
        print()
        print("Solutions:")
        print("1. If on HuggingFace Spaces:")
        print("   → Make sure Space is PUBLIC (Settings → Visibility)")
        print("   → Or add HUGGINGFACE_API_KEY in Settings → Variables")
        print()
        print("2. If running locally:")
        print("   → Set OPENAI_API_KEY environment variable")
        print("   → Or set ANTHROPIC_API_KEY")
        print("   → Or set HUGGINGFACE_API_KEY")
        print()
        return False

    # Check which provider will be used
    provider = os.getenv("LLM_PROVIDER", "").lower()

    if provider == "openai" and os.getenv("OPENAI_API_KEY"):
        print("✅ Will use: OpenAI (explicit)")
    elif provider == "anthropic" and os.getenv("ANTHROPIC_API_KEY"):
        print("✅ Will use: Anthropic Claude (explicit)")
    elif provider == "huggingface" and (os.getenv("HUGGINGFACE_API_KEY") or os.getenv("HF_TOKEN")):
        print("✅ Will use: HuggingFace Inference API (explicit)")
    elif os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY"):
        print("✅ Will use: HuggingFace Inference API (auto-detected)")
    elif os.getenv("OPENAI_API_KEY"):
        print("✅ Will use: OpenAI (auto-detected)")
    elif os.getenv("ANTHROPIC_API_KEY"):
        print("✅ Will use: Anthropic Claude (auto-detected)")
    else:
        print("⚠️  Unknown configuration")

    print()

    # Check if in HuggingFace Spaces
    if os.getenv("SPACE_ID"):
        print(f"📍 Running in HuggingFace Space: {os.getenv('SPACE_ID')}")
        if not (os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY")):
            print("⚠️  WARNING: In HF Space but no HF token found!")
            print("   This Space might be PRIVATE. Consider:")
            print("   1. Making it PUBLIC, or")
            print("   2. Adding HUGGINGFACE_API_KEY manually")
    else:
        print("📍 Running locally (not in HuggingFace Space)")

    print()
    print("-" * 70)
    print()

    # Check imports
    print("Checking Python Dependencies:")
    print("-" * 70)

    dependencies = {
        "gradio": "Gradio UI framework",
        "requests": "HTTP library",
        "pandas": "Data processing (optional)"
    }

    all_imports_ok = True
    for module, description in dependencies.items():
        try:
            __import__(module)
            print(f"✅ {module:<20} OK")
        except ImportError:
            print(f"❌ {module:<20} NOT INSTALLED")
            all_imports_ok = False

    print()

    if not all_imports_ok:
        print("⚠️  Some dependencies missing. Run:")
        print("   pip install -r requirements.txt")
        print()

    print("="*70)

    if has_any_key and all_imports_ok:
        print("✅ Environment looks good! You should be able to run the app.")
        print()
        print("Start the app with:")
        print("   python app.py")
        return True
    else:
        print("❌ Environment has issues. Fix the problems above.")
        return False


if __name__ == "__main__":
    success = check_environment()
    sys.exit(0 if success else 1)