dictature 0.10.0

dictature -- A generic wrapper around dict-like interface with mulitple backends

Dictature

A wrapper for Python's dictionary with multiple backends.

Installation

pip install dictature

Dictature usage

This package also includes a class that allows you to use your SQLite db or any backend as a Python dictionary:

from dictature import Dictature
from dictature.backend import DictatureBackendDirectory, DictatureBackendSQLite

# will use/create the db directory
# dictionary = Dictature(DictatureBackendDirectory('test_data'))
# will use/create the db file
dictionary = Dictature(DictatureBackendSQLite('test_data.sqlite3'))

# will create a table db_test and there a row called foo with value bar
dictionary['test']['foo'] = 'bar'

# also support anything that can be jsonized
dictionary['test']['list'] = ['1', 2, True]
print(dictionary['test']['list'])  # prints ['1', 2, True]

# or anything, really (that can be serialized with pickle)
from threading import Thread
dictionary['test']['thread'] = Thread
print(dictionary['test']['thread'])  # prints <class 'threading.Thread'>

# and deleting
del dictionary['test']['list']  # deletes the record
del dictionary['test']  # drops whole table

Currently, the following backends are supported:

• DictatureBackendDirectory: stores the data in a directory as json files
• DictatureBackendSQLite: stores the data in a SQLite database
• DictatureBackendMISP: stores the data in a MISP instance
• DictatureBackendWebdav: stores data in a WebDav share as files

Transformers

You can also use transformers to change how the values are stored. E.g. to encrypt data, you can use the AESTransformer (which requires the pycryptodome package):

from dictature import Dictature
from dictature.backend import DictatureBackendDirectory
from dictature.transformer.aes import AESTransformer

name_transformer = AESTransformer('password1', True)
value_transformer = AESTransformer('password2', False)

dictionary = Dictature(
    DictatureBackendSQLite('test_data.sqlite3'),
    name_transformer=name_transformer,
    value_transformer=value_transformer
)

Currently, the following transformers are supported:

• AESTransformer: encrypts/decrypts the data using AES
• HmacTransformer: signs the data using HMAC or performs hash integrity checks
• GzipTransformer: compresses given data
• PassthroughTransformer: does nothing
• PipelineTransformer: chains multiple transformers