Metadata-Version: 2.1
Name: alcherializer
Version: 0.1.0
Summary: Django like model serializer
Home-page: https://github.com/vinyguedess/alcherializer
Author: Vinicius Guedes
Author-email: viniciusgued@gmail.com
License: MIT
Download-URL: https://github.com/vinyguedess/alcherializer/archive/master.zip
Keywords: django,flask,serializer,sql,sqlalchemy,alchemy
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: SQLAlchemy (<=1.4.18,>=1.3.20)



.. image:: https://api.codeclimate.com/v1/badges/332cfdc498df9f6dc272/maintainability
   :target: https://codeclimate.com/github/vinyguedess/alcherializer/maintainability
   :alt: Maintainability


.. image:: https://api.codeclimate.com/v1/badges/332cfdc498df9f6dc272/test_coverage
   :target: https://codeclimate.com/github/vinyguedess/alcherializer/test_coverage
   :alt: Test Coverage


Alcherializer
=============

A "Django like" model serializer.

Declaring Serializer
--------------------

It's very simples to declare a serializer. Just like Django, the only
thing you need is to create a class with a Meta class inside and
a model attribute.

This instantly maps all fields declared in model.

.. code-block:: python

   from datetime import datetime
   from alcherializer import Serializer
   import sqlalchemy


   class User:
       name = sqlalchemy.Column(sqlalchemy.String(100))
       age = sqlalchemy.Column(sqlalchemy.Integer)
       is_active = sqlalchemy.Column(sqlalchemy.Boolean)
       created_at = sqlalchemy.Column(sqlalchemy.DateTime, default=datetime.utcnow)


   class UserSerializer(Serializer):
       class Meta:
           model = User

PS: For further exemplifications we will always use **User** and **UserSerializer**.

Validation
----------

To validate a payload, it's possible to send it through data argument while
instantiating the serializer and call **.is_valid** method.

.. code-block:: python

   serializer = UserSerializer(data={
       "name": "Clark Kent",
       "age": 31,
       "is_active": True
   })
   serializer.is_valid()  # True

Fetching validation errors
^^^^^^^^^^^^^^^^^^^^^^^^^^

If any error happens you can fetch the information through error attribute.

.. code-block:: python

   serializer = UserSerializer(data={
       "name": "", # If ommitted or None should present error too
       "age": 31,
       "is_active": True
   })
   serializer.is_valid()  # False
   serializer.errors # {"name": ["Can't be blank"]}


