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| import weakref
from collections import OrderedDict
from threading import RLock
import time
class LRUCache:
"""带过期时间的LRU缓存"""
def __init__(self, max_size=1000, ttl=3600):
self.max_size = max_size
self.ttl = ttl
self.cache = OrderedDict()
self.timestamps = {}
self.lock = RLock()
def get(self, key):
"""获取缓存值"""
with self.lock:
if key not in self.cache:
return None
if self._is_expired(key):
self._remove(key)
return None
self.cache.move_to_end(key)
return self.cache[key]
def put(self, key, value):
"""设置缓存值"""
with self.lock:
if key in self.cache:
self.cache[key] = value
self.cache.move_to_end(key)
else:
self.cache[key] = value
self.timestamps[key] = time.time()
while len(self.cache) > self.max_size:
oldest_key = next(iter(self.cache))
self._remove(oldest_key)
def _is_expired(self, key):
"""检查键是否过期"""
if key not in self.timestamps:
return True
return time.time() - self.timestamps[key] > self.ttl
def _remove(self, key):
"""移除键值对"""
self.cache.pop(key, None)
self.timestamps.pop(key, None)
def clear_expired(self):
"""清理过期项"""
with self.lock:
expired_keys = [
key for key in self.cache.keys()
if self._is_expired(key)
]
for key in expired_keys:
self._remove(key)
def get_stats(self):
"""获取缓存统计信息"""
with self.lock:
return {
'size': len(self.cache),
'max_size': self.max_size,
'hit_rate': getattr(self, '_hit_rate', 0)
}
class ImprovedDataProcessor:
"""改进后的数据处理器"""
def __init__(self, cache_size=1000, cache_ttl=3600):
self.cache = LRUCache(max_size=cache_size, ttl=cache_ttl)
self.callbacks = weakref.WeakSet()
self.data_buffer = []
self.max_buffer_size = 100
self._setup_cleanup_timer()
def process_data(self, data_id, data):
"""改进后的数据处理方法"""
try:
cached_result = self.cache.get(data_id)
if cached_result is not None:
return cached_result
with self._resource_manager(data) as resources:
result = self._safe_process_data(data_id, data, resources)
self.cache.put(data_id, result)
return result
except Exception as e:
logging.error(f"数据处理失败: {e}", exc_info=True)
self._cleanup_resources()
raise
finally:
self._cleanup_buffer()
def _safe_process_data(self, data_id, data, resources):
"""安全的数据处理"""
intermediate_data = resources.get_intermediate_object()
try:
result = self._expensive_computation(data)
callback = CallbackHandler(data_id, weakref.ref(self))
self.callbacks.add(callback)
return result
finally:
resources.release_intermediate_object(intermediate_data)
def _cleanup_buffer(self):
"""清理数据缓冲区"""
if len(self.data_buffer) > self.max_buffer_size:
self.data_buffer = self.data_buffer[-self.max_buffer_size//2:]
import gc
gc.collect()
def _setup_cleanup_timer(self):
"""设置定期清理定时器"""
import threading
def cleanup_task():
while True:
try:
self.cache.clear_expired()
self._cleanup_buffer()
self._log_memory_usage()
except Exception as e:
logging.error(f"清理任务异常: {e}")
time.sleep(300)
cleanup_thread = threading.Thread(target=cleanup_task, daemon=True)
cleanup_thread.start()
def _log_memory_usage(self):
"""记录内存使用情况"""
import psutil
import os
process = psutil.Process(os.getpid())
memory_info = process.memory_info()
cache_stats = self.cache.get_stats()
logging.info(
f"内存使用情况 - RSS: {memory_info.rss / 1024 / 1024:.2f}MB, "
f"缓存大小: {cache_stats['size']}/{cache_stats['max_size']}, "
f"缓冲区大小: {len(self.data_buffer)}"
)
|
