Research_AI_Assistant / cache_implementation.py
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# cache_implementation.py
import time
from typing import Optional
class SessionCache:
def __init__(self):
self.memory_cache = {}
self.hits = 0
self.misses = 0
def get(self, session_id: str) -> Optional[dict]:
if session_id in self.memory_cache:
self.hits += 1
return self.memory_cache[session_id]
self.misses += 1
return None
def set(self, session_id: str, data: dict, ttl: int = 3600):
# Size-based eviction
if self._get_total_size() > 100 * 1024 * 1024: # 100MB limit
self._evict_oldest()
compressed_data = self._compress_data(data)
self.memory_cache[session_id] = {
'data': compressed_data,
'timestamp': time.time(),
'ttl': ttl
}
def delete(self, session_id: str):
"""
Remove session from cache
"""
if session_id in self.memory_cache:
del self.memory_cache[session_id]
def clear(self):
"""
Clear all cached sessions
"""
self.memory_cache.clear()
self.hits = 0
self.misses = 0
def get_hit_rate(self) -> float:
"""
Calculate cache hit rate
"""
total = self.hits + self.misses
return self.hits / total if total > 0 else 0.0
def _get_total_size(self) -> int:
"""
Calculate total size of cached data
"""
# TODO: Implement actual size calculation
return len(str(self.memory_cache))
def _evict_oldest(self):
"""
Evict oldest session based on timestamp
"""
if not self.memory_cache:
return
oldest_session = min(
self.memory_cache.items(),
key=lambda x: x[1].get('timestamp', 0)
)
del self.memory_cache[oldest_session[0]]
def _compress_data(self, data: dict) -> dict:
"""
Compress data using specified compression algorithm
"""
# TODO: Implement actual gzip compression if needed
# For now, return as-is
return data