membank 0.2.6

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

import dataclasses as data # Python standard library

from membank import LoadMemory

@data.dataclass
class Dog():
    breed: str
    color: str = "black"
    weight: float = 0

memory = LoadMemory() # defaults to sqlite memory
memory.put.dog(Dog('Puli')) # stores object into database
dog = memory.get.dog() # retrieves first object found
assert dog.breed == 'Puli'

retrieve those after

memory = LoadMemory() # to make this work in new process, don't use sqlite memory
dog = memory.get.dog()
assert dog.color == 'black'

be carefull editing returned objects

dog = memory.get.dog()
dog.breed = 'Labrador' # this will fail. you can't edit returned object from get
dog = Dog(dataclasses.astuple(dog)) # reinitialise your object again
dog.breed = 'Labdrador' # now you can edit