Spaces:
Running
Running
File size: 1,885 Bytes
3064989 | 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 | import hashlib
import json
import time
from typing import Any, Dict, Optional
# In-memory LRU fallback dictionary
_memory_cache: Dict[str, Dict[str, Any]] = {}
VISION_CACHE_TTL = 86400 # 24 hours in seconds
def get_image_hash(image_bytes: bytes) -> str:
"""Computes SHA-256 hash of image content."""
return hashlib.sha256(image_bytes).hexdigest()
def get_cached_inference(cache_key: str, redis_conn=None) -> Optional[Dict[str, Any]]:
"""Retrieves cached inference result from Redis or in-memory dict."""
if redis_conn:
try:
cached = redis_conn.get(cache_key)
if cached:
print(f"[Cache] Redis hit for {cache_key}")
return json.loads(cached)
except Exception as e:
print(f"[Cache] Redis read error: {e}")
# Fallback to in-memory cache
if cache_key in _memory_cache:
entry = _memory_cache[cache_key]
if time.time() < entry["expires_at"]:
print(f"[Cache] In-Memory hit for {cache_key}")
return entry["data"]
else:
del _memory_cache[cache_key]
return None
def set_cached_inference(cache_key: str, data: Dict[str, Any], redis_conn=None, ttl: int = VISION_CACHE_TTL):
"""Saves inference result into Redis or in-memory dict."""
if redis_conn:
try:
redis_conn.setex(cache_key, ttl, json.dumps(data))
return
except Exception as e:
print(f"[Cache] Redis write error: {e}")
# Fallback in-memory dict (cap max entries to 500)
if len(_memory_cache) > 500:
# Evict oldest entry
oldest_key = min(_memory_cache, key=lambda k: _memory_cache[k]["created_at"])
del _memory_cache[oldest_key]
_memory_cache[cache_key] = {
"data": data,
"created_at": time.time(),
"expires_at": time.time() + ttl,
}
|