lambdaJSON 0.2.10

Serialize python standard types (function, tuple, set, frozenset, complex, range, bytes, bytearray, dict with number keys, byte keys or tuple keys, and etc) with json. No dependencies, just needs json lib (or other json libraries). --Changes: Better code for function freezing

Serialize python standard types (function, tuple, complex, set, frozenset, range, bytearray, bytes, dict with number keys, byte keys or tuple keys, and etc) with json. lambdaJSON lets you serialize python standard library objects with json. Typical usage:

#!/usr/bin/env python

>>> import lambdaJSON
>>> myComplexData = {True: (3-5j), (3+5j): b'json', (1, 2, 3): {b'lambda': [1, 2, 3, (3, 4, 5)]}}
>>> mySerializedData = lambdaJSON.serialize(myComplexData)
>>> myComplexData  == lambdaJSON.deserialize(mySerializedData)
True

>>>

To pass args and kwargs to the encoder/decoder simply pass them to the serialize/deserialize function, example for json:

>>> mySerializedData = lambdaJSON.serialize(myComplexData, sort_keys = True)
>>> myComplexData  == lambdaJSON.deserialize(mySerializedData, object_hook = my_hook)

It can be done for ujson too. You can also serialize python functions:

>>> import lambdaJSON
>>> def f(): print('lambdaJSON Rocks!')

>>> mySerializedFunction = lambdaJSON.serialize(f)
>>> myNewFunction  = lambdaJSON.deserialize(mySerializedFunction)
>>> myNewFunction()
'lambdaJSON Rocks!'
>>>

Changed int 0.2.4, for function deserialization you must pass a function which returns the list of globals for the function:

>>> import lambdaJSON
>>> y = 10
>>> def f(x): return x*y

>>> mySerializedFunction = lambdaJSON.serialize(f)
>>> myNewFunction  = lambdaJSON.deserialize(mySerializedFunction, globs = (lambda: globals()))
>>> myNewFunction(5)
50
>>> y = 3
>>> myNewFunction(5)
15
>>>

If no globs passed to function, the globs will be just the __builtins__ module. Note that passing globals will pass the lambdaJSONs globals and it will not work, if you want to include all the globals from where the deserialization function is called, just use globs = (lambda: globals()), else implement your own function. You can do some nice hacks too:

>>> z = 10
>>> def g():
        global z
        z += 1
        return {'z':z}

>>> def f(x,y): return x*y+z

>>> mySerializedFunction = lambdaJSON.serialize(f)
>>> myNewFunction  = lambdaJSON.deserialize(mySerializedFunction, globs = g)
>>> myNewFunction(2,3)
17
>>> myNewFunction(2,3)
18
>>>

isn’t it cool??

After the support for all types are added, I’m planning to release a query friendly version of this library, that will be in version 0.3.0.

Currently Supported Types

This types are covered in this version:

1. Functions

2. Bytes and Bytearrays

3. Tuples

4. Complex

5. Range

6. Set and Frozenset

7. Dicts (With Number, Tuple, String, Bool and Byte keys)

8. other json supported types

Changes from previous

Better code for function freezing.

Project Info

Github project page: https://github.com/pooya-eghbali/lambdaJSON Mail me at: persian.writer [at] Gmail.com