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aiocache_cached_decorator_with_memory_cache_and_json_serializer.py

python

Demonstrates how to use the cached decorator to cache the result of a function.

15d ago24 linesaiocache.aio-libs.org
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aiocache_cached_decorator_with_memory_cache_and_json_serializer.py
1import asyncio
2from aiocache import cached, Cache
3from aiocache.serializers import JsonSerializer
4
5# This decorator will cache the result of the function using the default
6# SimpleMemoryCache. It will use the function name and arguments as the key.
7@cached(
8    ttl=10, cache=Cache.MEMORY, serializer=JsonSerializer(), namespace="main"
9)
10async def cached_get(key):
11    print(f"Getting value for {key} from source...")
12    await asyncio.sleep(1)
13    return {"key": key, "value": "results"}
14
15
16async def main():
17    print("First call (not cached):")
18    await cached_get("test")
19    
20    print("\nSecond call (cached):")
21    await cached_get("test")
22
23if __name__ == "__main__":
24    asyncio.run(main())