generated from nathanwoodburn/python-webserver-template
Nathan Woodburn
e8d5dc8f9f
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50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
import os
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import json
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import hashlib
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from functools import wraps
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from time import time
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def file_cache(folder="cache", ttl=300):
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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 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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# 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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# Call the function and cache the result
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result = func(*args, **kwargs)
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try:
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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 (IOError, TypeError) as e:
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print(f"Warning: Could not cache result: {e}")
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return result
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return wrapper
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return decorator
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