membank 0.2.2

A library to handle persistent memory

membank

Python library for storing data in persistent memory (sqlite, postgresql, berkeley db)

usage

from membank import LoadMemory from collections import namedtuple

memory = LoadMemory() # defaults to sqlite memory Dog = namedtuple('Dog', ['color', 'size', 'breed']) memory.create(Dog) # expects Python collections.namedtuple memory.put.dog(Dog('brown')) # stores object into database memory.get.dog() # retrieves first object found as namedtuple dog = memory.get.dog() assert dog.color == 'brown'

... new process ... memory = LoadMemory() # this works unless sqlite memory is used before dog = memory.get.dog() assert dog.color == 'brown'