File size: 3,627 Bytes
f577535 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 | import time
from functools import wraps
from typing import Dict, Any, Callable
_cache: Dict[str, Any] = {}
CACHE_DURATION = 900 # 15 minutes - default
LOGIN_CACHE_DURATION = 3600 # 1 hour - user login sessions and auth data
USER_DATA_CACHE_DURATION = 1800 # 30 minutes - user profile data
WATCHLIST_STATS_CACHE_DURATION = 600 # 10 minutes - watchlist statistics
def cache_result(duration: int = CACHE_DURATION) -> Callable:
"""
Decorator to cache function results with configurable duration.
Args:
duration: Cache duration in seconds (default: 15 minutes)
Returns:
Decorated function with caching capability
"""
def decorator(func: Callable) -> Callable:
@wraps(func)
def wrapper(*args, **kwargs):
cache_key = f"{func.__module__}.{func.__name__}:{str(args)}:{str(sorted(kwargs.items()))}"
# Check if cached result exists and is still valid
if cache_key in _cache:
cached_data, timestamp = _cache[cache_key]
if time.time() - timestamp < duration:
return cached_data
# Execute function and cache result
result = func(*args, **kwargs)
_cache[cache_key] = (result, time.time())
return result
return wrapper
return decorator
def cache_user_data(duration: int = USER_DATA_CACHE_DURATION) -> Callable:
"""Cache user profile data with longer TTL."""
return cache_result(duration)
def cache_login_data(duration: int = LOGIN_CACHE_DURATION) -> Callable:
"""Cache login session data with even longer TTL."""
return cache_result(duration)
def cache_watchlist_stats(duration: int = WATCHLIST_STATS_CACHE_DURATION) -> Callable:
"""Cache watchlist statistics with moderate TTL."""
return cache_result(duration)
def clear_user_cache(user_id: int) -> None:
"""
Clear all cache entries related to a specific user_id.
Args:
user_id: The user ID whose cache entries should be cleared
"""
global _cache
user_id_str = str(user_id)
keys_to_remove = [key for key in _cache if user_id_str in key]
for key in keys_to_remove:
del _cache[key]
def clear_old_cache(max_age: int = 1800) -> int:
"""
Clear cache entries older than the specified age.
Args:
max_age: Maximum age in seconds (default: 30 minutes)
Returns:
Number of cache entries cleared
"""
global _cache
current_time = time.time()
keys_to_remove = []
for key, (data, timestamp) in _cache.items():
if current_time - timestamp > max_age:
keys_to_remove.append(key)
for key in keys_to_remove:
del _cache[key]
return len(keys_to_remove)
def get_cache_stats() -> Dict[str, Any]:
"""
Get statistics about the current cache state.
Returns:
Dictionary containing cache statistics
"""
current_time = time.time()
total_entries = len(_cache)
if total_entries == 0:
return {
"total_entries": 0,
"oldest_entry_age": 0,
"newest_entry_age": 0,
"average_age": 0
}
ages = [current_time - timestamp for _, timestamp in _cache.values()]
return {
"total_entries": total_entries,
"oldest_entry_age": max(ages),
"newest_entry_age": min(ages),
"average_age": sum(ages) / len(ages)
}
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