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Simple Redis client for python.
It has been made to simplify working with Redis in python.
Instantiate Cache()
, give the Redis host
, port
and db
.
Then you can get a cached entry with Cache.get_data_from_cache()
and add an entry to Redis with Cache.save_data_to_cache()
⚠️The data send to cache NEEDS TO BE A DICTIONARY! ⚠️
from redis_client.client import Cache
from time import sleep
from tpying import Dict
# Redis Configuration
cache = Cache(redis_host="localhost", redis_port=6379, redis_db=0, log_level="INFO")
def username_expander(username: str) -> Dict[str, str]:
"""Example of a function that require caching."""
# Key that will be use to retrieve cached data
# Note that I include the parameter 'username' in the key to make sure we only cache unique value.
key = f"username_expander:{username}"
# Check if the data is already caches
cached_data = cache.get_data_from_cache(key)
# Return it if yes
if cached_data:
return cached_data
data = {"expanded_username": f"{username}_123"}
# Save data to cache with an expiration time of 12 hours
cache.save_data_to_cache(key, data, expiration_in_hours=12)
return data
FAQs
A simple client for Redis
We found that redis-client demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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