import os
from typing import List

class HuggingFaceSettings:
    # File upload settings (HF Spaces can handle larger files)
    MAX_FILE_SIZE = 200 * 1024 * 1024  # 200MB for HF Spaces
    ALLOWED_EXTENSIONS = ['.mp4', '.avi', '.mov', '.mkv', '.wmv', '.flv', '.webm', '.m4v']
    
    # Transcription settings (optimized for HF Spaces)
    WHISPER_MODEL = os.getenv("WHISPER_MODEL", "base")  # HF Spaces can handle base model
    CLEANUP_INTERVAL_HOURS = 3.5  # Clean up after 3.5 hours
    
    # Performance settings for HF Spaces
    MODEL_PRELOAD = True  # Always preload on HF Spaces
    MAX_CONCURRENT_TRANSCRIPTIONS = 2  # HF Spaces can handle more
    REQUEST_TIMEOUT_SECONDS = 600  # 10 minutes max per request
    
    # Rate limiting (more generous on HF Spaces)
    RATE_LIMIT_REQUESTS = 20  # requests per minute per IP
    
    # Server settings
    HOST = "0.0.0.0"
    PORT = 7860  # Standard HF Spaces port
    
    # Logging settings
    DEBUG_MODE = os.getenv("DEBUG", "false").lower() == "true"
    LOG_TO_FILE = False  # No file logging on HF Spaces
    
    # Hugging Face Spaces specific
    HF_SPACE_ID = os.getenv("SPACE_ID", "your-username/video-transcription")
    HF_SPACE_URL = f"https://{HF_SPACE_ID.replace('/', '-')}.hf.space" if "SPACE_ID" in os.environ else "http://localhost:7860"

# Use HF-optimized settings
settings = HuggingFaceSettings()