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a809248 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 | """
Caching Module for RAG System.
Implements Redis-based caching for embeddings and responses.
"""
import hashlib
import json
import pickle
from typing import Any, Optional, List, Union
from datetime import timedelta
from ..utils import get_logger
logger = get_logger(__name__)
class CacheBackend:
"""Base cache backend interface."""
def get(self, key: str) -> Optional[Any]:
raise NotImplementedError
def set(self, key: str, value: Any, ttl: Optional[int] = None) -> bool:
raise NotImplementedError
def delete(self, key: str) -> bool:
raise NotImplementedError
def exists(self, key: str) -> bool:
raise NotImplementedError
def clear(self) -> bool:
raise NotImplementedError
class InMemoryCache(CacheBackend):
"""
Simple in-memory cache for development.
"""
def __init__(self, max_size: int = 1000):
"""
Initialize in-memory cache.
Args:
max_size: Maximum number of entries
"""
self.max_size = max_size
self._cache = {}
self._expiry = {}
logger.info("In-memory cache initialized")
def get(self, key: str) -> Optional[Any]:
"""Get value from cache."""
import time
if key in self._expiry:
if time.time() > self._expiry[key]:
self.delete(key)
return None
return self._cache.get(key)
def set(self, key: str, value: Any, ttl: Optional[int] = None) -> bool:
"""Set value in cache."""
import time
# Evict if at max size
if len(self._cache) >= self.max_size:
oldest = next(iter(self._cache))
self.delete(oldest)
self._cache[key] = value
if ttl:
self._expiry[key] = time.time() + ttl
return True
def delete(self, key: str) -> bool:
"""Delete key from cache."""
self._cache.pop(key, None)
self._expiry.pop(key, None)
return True
def exists(self, key: str) -> bool:
"""Check if key exists."""
return key in self._cache
def clear(self) -> bool:
"""Clear all cache entries."""
self._cache.clear()
self._expiry.clear()
return True
class RedisCache(CacheBackend):
"""
Redis-based cache for production.
"""
def __init__(
self,
host: str = "localhost",
port: int = 6379,
db: int = 0,
password: Optional[str] = None,
prefix: str = "rag:"
):
"""
Initialize Redis cache.
Args:
host: Redis host
port: Redis port
db: Redis database number
password: Redis password
prefix: Key prefix
"""
self.prefix = prefix
self._redis = None
try:
import redis
self._redis = redis.Redis(
host=host,
port=port,
db=db,
password=password,
decode_responses=False
)
self._redis.ping()
logger.info(f"Redis cache connected: {host}:{port}")
except Exception as e:
logger.warning(f"Redis not available: {e}")
self._redis = None
def _key(self, key: str) -> str:
"""Add prefix to key."""
return f"{self.prefix}{key}"
def get(self, key: str) -> Optional[Any]:
"""Get value from Redis."""
if not self._redis:
return None
try:
data = self._redis.get(self._key(key))
if data:
return pickle.loads(data)
return None
except Exception as e:
logger.debug(f"Cache get error: {e}")
return None
def set(self, key: str, value: Any, ttl: Optional[int] = None) -> bool:
"""Set value in Redis."""
if not self._redis:
return False
try:
data = pickle.dumps(value)
if ttl:
self._redis.setex(self._key(key), ttl, data)
else:
self._redis.set(self._key(key), data)
return True
except Exception as e:
logger.debug(f"Cache set error: {e}")
return False
def delete(self, key: str) -> bool:
"""Delete key from Redis."""
if not self._redis:
return False
try:
self._redis.delete(self._key(key))
return True
except Exception as e:
logger.debug(f"Cache delete error: {e}")
return False
def exists(self, key: str) -> bool:
"""Check if key exists in Redis."""
if not self._redis:
return False
try:
return self._redis.exists(self._key(key)) > 0
except Exception:
return False
def clear(self) -> bool:
"""Clear all cache entries with prefix."""
if not self._redis:
return False
try:
keys = self._redis.keys(f"{self.prefix}*")
if keys:
self._redis.delete(*keys)
return True
except Exception as e:
logger.debug(f"Cache clear error: {e}")
return False
class RAGCache:
"""
High-level caching for RAG operations.
Caches embeddings, search results, and LLM responses.
"""
def __init__(self, backend: Optional[CacheBackend] = None):
"""
Initialize RAG cache.
Args:
backend: Cache backend to use
"""
if backend:
self.backend = backend
else:
# Try Redis first, fallback to in-memory
redis_cache = RedisCache()
if redis_cache._redis:
self.backend = redis_cache
else:
self.backend = InMemoryCache()
self.embedding_ttl = 86400 # 24 hours
self.search_ttl = 3600 # 1 hour
self.response_ttl = 1800 # 30 minutes
def _hash_key(self, *args) -> str:
"""Generate cache key from arguments."""
content = json.dumps(args, sort_keys=True, default=str)
return hashlib.md5(content.encode()).hexdigest()
def get_embedding(self, text: str, model: str) -> Optional[List[float]]:
"""Get cached embedding."""
key = f"emb:{self._hash_key(text, model)}"
return self.backend.get(key)
def set_embedding(self, text: str, model: str, embedding: List[float]) -> bool:
"""Cache an embedding."""
key = f"emb:{self._hash_key(text, model)}"
return self.backend.set(key, embedding, self.embedding_ttl)
def get_search_results(self, query: str, top_k: int) -> Optional[Any]:
"""Get cached search results."""
key = f"search:{self._hash_key(query, top_k)}"
return self.backend.get(key)
def set_search_results(self, query: str, top_k: int, results: Any) -> bool:
"""Cache search results."""
key = f"search:{self._hash_key(query, top_k)}"
return self.backend.set(key, results, self.search_ttl)
def get_response(self, query: str, context_hash: str) -> Optional[str]:
"""Get cached LLM response."""
key = f"resp:{self._hash_key(query, context_hash)}"
return self.backend.get(key)
def set_response(self, query: str, context_hash: str, response: str) -> bool:
"""Cache LLM response."""
key = f"resp:{self._hash_key(query, context_hash)}"
return self.backend.set(key, response, self.response_ttl)
def invalidate_all(self) -> bool:
"""Invalidate all cached data."""
return self.backend.clear()
# Global instance
_cache: Optional[RAGCache] = None
def get_cache() -> RAGCache:
"""Get global cache instance."""
global _cache
if _cache is None:
_cache = RAGCache()
return _cache
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