How to cache filtered data in Redis with Python

import redis
import json
import hashlib
import time

cache = redis.Redis(host='localhost', port=6379, db=0, decode_responses=True)

def filter_data(data, predicate_key, predicate_value):
    """Filter a list of dicts by key-value pair, with Redis caching."""
    cache_key = hashlib.md5(
        f"{predicate_key}:{predicate_value}".encode()
    ).hexdigest()
    
    cached_result = cache.get(cache_key)
    if cached_result:
        print("Cache HIT")
        return json.loads(cached_result)
    
    print("Cache MISS")
    filtered = [item for item in data if item.get(predicate_key) == predicate_value]
    
    array_key = f"{cache_key}:{predicate_value}"
    cache.setex(cache_key, 300, json.dumps(filtered))
    
    return filtered

if __name__ == "__main__":
    users = [
        {"id": 1, "name": "Alice", "role": "admin"},
        {"id": 2, "name": "Bob", "role": "user"},
        {"id": 3, "name": "Charlie", "role": "user"},
        {"id": 4, "name": "Diana", "role": "admin"},
    ]

    result1 = filter_data(users, "role", "admin")
    print(f"First call: {result1}")

    result2 = filter_data(users, "role", "admin")
    print(f"Second call: {result2}")
    
    cache.flushdb()