schematics

Python Data Structures for Humans™.

For more information, please see our documentation: http://schematics.readthedocs.org/en/latest/

About

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:

Design and document specific data structures
Convert structures to and from different formats such as JSON or MsgPack
Validate API inputs
Remove fields based on access rights of some data’s recipient
Define message formats for communications protocols, like an RPC
Custom persistence layers

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 ModelValidationError(e.messages)
schematics.exceptions.ModelValidationError: {'name': [u'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 files for schematics 1.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for schematics 1.1.3
File	Size	Uploaded
schematics-1.1.3.tar.gz	60.4 kB	Jun 27, 2017	Details

Built distribution (wheel)

Table of built distributions (wheels) for schematics 1.1.3
File	Interpreter	ABI	Platform	Reset
schematics-1.1.3-py2.py3-none-any.whl 30.3 kB Jun 27, 2017	Python 3, Python 2	none	any	Details

Total release size: 90.8 kB

Release files / schematics-1.1.3.tar.gz

Download URL	schematics-1.1.3.tar.gz
Size	60.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`38258298cf8ac21fcc0ab178fc7bfdbc263c35d9c293fb63d8fa6ff3230629e6`
BLAKE2b-256 checksum How to use checksums	`ec937babe53bd3ac7d1178e993831d2bddb565104292b732817853db9a030ffe`
Upload date	Jun 27, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / schematics-1.1.3-py2.py3-none-any.whl

Download URL	schematics-1.1.3-py2.py3-none-any.whl
Size	30.3 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`7605944736e921cab314d99245a532ee15295f675aff7a48fb70846af9b2ebf6`
BLAKE2b-256 checksum How to use checksums	`5a8f41db19aa25d4bdd0aa3df7b34c864ef4f09a3338cd17a1776cbc45e9970a`
Upload date	Jun 27, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No