import os
import json
import hashlib
import threading
from functools import wraps
from time import time, sleep

def file_cache(folder="cache", ttl=3600):
    """
    Decorator to cache function results in the specified folder with a TTL.
    
    Args:
        folder (str): Directory where cached files will be stored.
        ttl (int): Time-to-live for the cache in seconds.
    """
    if not os.path.exists(folder):
        os.makedirs(folder)

    def refresh_cache(func, cache_file, cache_key, args, kwargs):
        def refresh_loop():
            while True:
                sleep(ttl)
                try:
                    # Check if the cache is less than half the ttl (wait for half ttl to pass)
                    if os.path.exists(cache_file):
                        with open(cache_file, "r") as f:
                            cached_data = json.load(f)
                            if time() - cached_data["timestamp"] < ttl / 2:
                                return

                    # Re-compute the result and update the cache
                    print(f"Refreshing cache for {func.__name__}...")
                    result = func(*args, **kwargs)
                    with open(cache_file, "w") as f:
                        json.dump({"timestamp": time(), "result": result}, f)
                except Exception as e:
                    print(f"Error during cache refresh: {e}")

        threading.Thread(target=refresh_loop, daemon=True).start()


    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            # Create a unique cache key based on the function name and arguments
            cache_key = hashlib.md5(
                f"{func.__name__}-{args}-{kwargs}".encode("utf-8")
            ).hexdigest()
            cache_file = os.path.join(folder, f"{cache_key}.json")

            # Start a background thread for auto-refresh if it doesn't exist
            if not os.path.exists(cache_file):
                print(f"Creating cache for {func.__name__} with auto-refresh.")
                result = func(*args, **kwargs)
                with open(cache_file, "w") as f:
                    json.dump({"timestamp": time(), "result": result}, f)

                # Start refresh thread
                refresh_cache(func, cache_file, cache_key, args, kwargs)

            # Check if cache exists and is valid
            if os.path.exists(cache_file):
                try:
                    with open(cache_file, "r") as f:
                        cached_data = json.load(f)
                        # Check if the cache has expired
                        if time() - cached_data["timestamp"] < ttl:
                            return cached_data["result"]
                except (IOError, ValueError, KeyError):
                    pass  # In case of error, re-compute the result

            # If cache is expired or invalid, recompute and update
            result = func(*args, **kwargs)
            with open(cache_file, "w") as f:
                json.dump({"timestamp": time(), "result": result}, f)

            # Start refresh thread if it doesn't exist
            refresh_cache(func, cache_file, cache_key, args, kwargs)
            return result

        return wrapper
    return decorator