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Python Data Structures for Humans

Project Description

Python Data Structures for Humans™.

News

After a period of sparse activity, Schematics has again been under heavy development as of late.

It is recommended that new users get started with the latest development release instead of the stable release. To do this, add the --pre option when installing via pip:

pip install --pre schematics

About

Project documentation: https://schematics.readthedocs.io/en/latest/

Schematics is a Python library to combine types into structures, validate them, and transform the shapes of your data based on simple descriptions.

The internals are similar to ORM type systems, but there is no database layer in Schematics. Instead, we believe that building a database layer is made significantly easier when Schematics handles everything but writing the query.

Further, it can be used for a range of tasks where having a database involved may not make sense.

Some common use cases:

Example

This is a simple Model.

>>> from schematics.models import Model
>>> from schematics.types import StringType, URLType
>>> class Person(Model):
...     name = StringType(required=True)
...     website = URLType()
...
>>> person = Person({'name': u'Joe Strummer',
...                  'website': 'http://soundcloud.com/joestrummer'})
>>> person.name
u'Joe Strummer'

Serializing the data to JSON.

>>> import json
>>> json.dumps(person.to_primitive())
{"name": "Joe Strummer", "website": "http://soundcloud.com/joestrummer"}

Let’s try validating without a name value, since it’s required.

>>> person = Person()
>>> person.website = 'http://www.amontobin.com/'
>>> person.validate()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "schematics/models.py", line 231, in validate
    raise DataError(e.messages)
schematics.exceptions.DataError: {'name': ['This field is required.']}

Add the field and validation passes.

>>> person = Person()
>>> person.name = 'Amon Tobin'
>>> person.website = 'http://www.amontobin.com/'
>>> person.validate()
>>>

Testing & Coverage support

Run coverage and check the missing statements.

$ coverage run --source schematics -m py.test && coverage report
Release History

Release History

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
schematics-2.0.1-py2.py3-none-any.whl (47.3 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel May 31, 2017
schematics-2.0.1.tar.gz (43.1 kB) Copy SHA256 Checksum SHA256 Source May 31, 2017

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