Limpyd provides an easy way to store objects in Redis, without losing the power and the control of the Redis API, in a limpid way, with just as abstraction as needed.
Featuring:
- Don't care about keys,
limpyddo it for you - Retrieve objects from some of their attributes
- Retrieve objects collection
- CRUD abstraction
- Powerful indexing and filtering
- Keep the power of all the Redis data types in your own code
Example of configuration:
from limpyd import model
main_database = model.RedisDatabase(
host="localhost",
port=6379,
db=0
)
class Bike(model.RedisModel):
database = main_database
name = model.InstanceHashField(indexable=True, unique=True)
color = model.InstanceHashField()
wheels = model.StringField(default=2)So you can use it like this:
>>> mountainbike = Bike(name="mountainbike")
>>> mountainbike.wheels.get()
'2'
>>> mountainbike.wheels.incr()
>>> mountainbike.wheels.get()
'3'
>>> mountainbike.name.set("tricycle")
>>> tricycle = Bike.collection(name="tricycle")[0]
>>> tricycle.wheels.get()
'3'
>>> tricycle.hmset(color="blue")
True
>>> tricycle.hmget('color')
['blue']
>>> tricycle.hmget('color', 'name')
['blue', 'tricycle']
>>> tricycle.color.hget()
'blue'
>>> tricycle.color.hset('yellow')
True
>>> tricycle.hmget('color')
['yellow']Python versions 2.7 and 3.5 to 3.8 are supported (CPython and PyPy).
Redis-py versions >= 3 are supported, with redis-server versions >= 3.
pip install redis-limpydFor Redis-py versions < 3, please use limpyd version 1.3.1 (or later in 1.x versions)
See https://redis-limpyd.readthedocs.io/ for a full documentation
See CHANGELOG.rst
- A bundle of great extensions: Limpyd-extensions
- A queue/task/job manager: Limpyd-jobs