pycachely-rj 1.0.0

Simple in-memory caching with TTL support

cachely ⚡

Simple in-memory caching with TTL support for Python.

Installation

pip install cachely

Usage

Decorator

from cachely import cache

@cache(ttl=300)  # Cache for 5 minutes
def expensive_computation(x):
    return x ** 100

@cache(ttl=60, key_prefix="user")
def get_user(user_id):
    return database.fetch_user(user_id)

Manual Cache

from cachely import Cache

cache = Cache()

# Set with TTL
cache.set("key", "value", ttl=300)

# Get value
value = cache.get("key", default=None)

# Delete
cache.delete("key")

# Clear all
cache.clear()

Features

• 🕐 TTL (time-to-live) support
• 🔒 Thread-safe operations
• 🎯 Function decorator
• 🧹 Automatic cleanup of expired entries
• 📊 Cache info and stats

API

Decorator Parameters

Parameter	Type	Default	Description
ttl	int	None	Seconds until expiration
key_prefix	str	None	Prefix for cache keys

Cache Methods

Method	Description
get(key, default)	Get cached value
set(key, value, ttl)	Set cached value
delete(key)	Delete cached value
clear()	Clear all cache
cleanup()	Remove expired entries
size()	Number of cached items

License

MIT