generated from nathanwoodburn/python-webserver-template
Nathan Woodburn
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83 lines
3.2 KiB
Python
83 lines
3.2 KiB
Python
import os
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import json
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import hashlib
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import threading
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from functools import wraps
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from time import time, sleep
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def file_cache(folder="cache", ttl=3600):
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"""
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Decorator to cache function results in the specified folder with a TTL.
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Args:
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folder (str): Directory where cached files will be stored.
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ttl (int): Time-to-live for the cache in seconds.
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"""
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if not os.path.exists(folder):
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os.makedirs(folder)
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def refresh_cache(func, cache_file, cache_key, args, kwargs):
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def refresh_loop():
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while True:
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sleep(ttl)
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try:
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# Check if the cache is less than half the ttl (wait for half ttl to pass)
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if os.path.exists(cache_file):
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with open(cache_file, "r") as f:
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cached_data = json.load(f)
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if time() - cached_data["timestamp"] < ttl / 2:
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return
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# Re-compute the result and update the cache
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print(f"Refreshing cache for {func.__name__}...")
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result = func(*args, **kwargs)
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with open(cache_file, "w") as f:
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json.dump({"timestamp": time(), "result": result}, f)
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except Exception as e:
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print(f"Error during cache refresh: {e}")
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threading.Thread(target=refresh_loop, daemon=True).start()
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def decorator(func):
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@wraps(func)
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def wrapper(*args, **kwargs):
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# Create a unique cache key based on the function name and arguments
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cache_key = hashlib.md5(
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f"{func.__name__}-{args}-{kwargs}".encode("utf-8")
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).hexdigest()
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cache_file = os.path.join(folder, f"{cache_key}.json")
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# Start a background thread for auto-refresh if it doesn't exist
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if not os.path.exists(cache_file):
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print(f"Creating cache for {func.__name__} with auto-refresh.")
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result = func(*args, **kwargs)
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with open(cache_file, "w") as f:
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json.dump({"timestamp": time(), "result": result}, f)
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# Start refresh thread
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refresh_cache(func, cache_file, cache_key, args, kwargs)
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# Check if cache exists and is valid
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if os.path.exists(cache_file):
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try:
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with open(cache_file, "r") as f:
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cached_data = json.load(f)
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# Check if the cache has expired
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if time() - cached_data["timestamp"] < ttl:
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return cached_data["result"]
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except (IOError, ValueError, KeyError):
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pass # In case of error, re-compute the result
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# If cache is expired or invalid, recompute and update
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result = func(*args, **kwargs)
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with open(cache_file, "w") as f:
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json.dump({"timestamp": time(), "result": result}, f)
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# Start refresh thread if it doesn't exist
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refresh_cache(func, cache_file, cache_key, args, kwargs)
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return result
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return wrapper
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return decorator
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