membank 0.2.3

A library to handle persistent memory

membank

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

goals

Provide interface to database storage that automates heavy lifting of database setup, migration, table definition, query construction.

quick intro

add items to persistent storage

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
dog = memory.get.dog() # retrieves first object found as namedtuple
assert dog.color == 'brown'

retrieve those after

memory = LoadMemory() # to make this work in new process, use something else than sqlite memory
dog = memory.get.dog()
assert dog.color == 'brown'