Python object serializer

Python serializer class (can be extended by other classes).

Thanks to the Serializable class, each object can be serialized. I created it because I like saving my objects in key->value storage systems. In this way, you can create a class that extends this one in order to obtain a serializable object.

##Define a serializable object

To define a new serializable object you only need to specify its params and extend the Serializable object. Params can be a list of strings or a list of tuples (param_name, type).

from serializable import Serializable

class Photo(Serializable):
	params = [
		('service_id', str), 
		('id', int), 
		('tags', list), 
		('title', str)
	]

	def ...

##Instantiate and serialize an object Create a new object is simple. After you created its instance, you can save it into the database as text using the json_me() method. You can recreate the same object from text using its constructor.

This is an example:

from serializable import Serializable
from ... import Photo

photo = Photo(
	service_id='flickr', 
	id=12131, 
	tags=['#happy', '#smile'], 
	title="Happiness"
)

exported_json = photo.json_me()
#exported_json = '{"tags": ["#happy", "#smile"], "id": 12131, "service_id": "flickr", "title": "Happiness"}'

##Deserialize - instantiate an object from the exported text

import json
from ... import Photo

exported_json = '{"tags": ["#happy", "#smile"], "id": 12131, "service_id": "flickr", "title": "Happiness"}'
params = json.loads(exported_json)

photo = Photo(**params)

##Attributes You can easily access the object attributes.

from ... import Photo

photo = Photo(
	service_id='flickr', 
	id=12131, 
	tags=['#happy', '#smile'], 
	title="Happiness"
)

print(photo.service_id)

##License

Released under the MIT license.