Caching library for Python with sync and async support
Project description
Flux Cache
An extensible caching library for Python with support for synchronous and asynchronous functions.
Installation
pip install flux-cache[redis]
Quick Start
Basic Usage
from flux_cache import cache
@cache(ttl=60)
def expensive_function(x, y):
print("Computing...")
return x + y
expensive_function(1, 2) # computes
expensive_function(1, 2) # cached
Async Usage
from flux_cache import async_cache
@async_cache(ttl=60)
async def fetch_data(x):
return x * 2
How It Works
-
A cache key is generated using:
- Function module
- Function name
- Arguments (args + kwargs)
-
The key is hashed using SHA-256
-
Values are stored in the backend along with optional expiration timestamps
Cache Control
Clear entire cache
expensive_function.clear()
Invalidate specific call
expensive_function.invalidate(1, 2)
Backends
Default: In-Memory
Thread-safe, simple dictionary-based backend.
from flux_cache.backends import MemoryBackend
@cache(backend=MemoryBackend())
def foo():
return "bar"
Custom Backend
Implement the BaseBackend interface:
class BaseBackend:
def get(self, key): ...
def set(self, key, value, ttl=None): ...
def delete(self, key): ...
def clear(self): ...
🧪 Testing
Run tests using:
pytest
📄 License
MIT License
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