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README.rst

PyPI Version Build Status Doc Status

Limpyd

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, limpyd do 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']

Install

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-limpyd

For Redis-py versions < 3, please use limpyd version 1.3.1 (or later in 1.x versions)

Documentation

See https://redis-limpyd.readthedocs.io/ for a full documentation

Changelog

See CHANGELOG.rst

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Provide an easy way to store python objects in Redis, without losing the power and the control of the Redis API

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