Skip to main content

Python Data Structures for Humans

Project description

Python Data Structures for Humans™.

Build Status Coverage

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

schematics-2.0.0.tar.gz (42.8 kB view details)

Uploaded Source

Built Distribution

schematics-2.0.0-py2.py3-none-any.whl (46.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file schematics-2.0.0.tar.gz.

File metadata

  • Download URL: schematics-2.0.0.tar.gz
  • Upload date:
  • Size: 42.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for schematics-2.0.0.tar.gz
Algorithm Hash digest
SHA256 8db109d1d4c498d861e9e640b2726bff4cda2cc48806c38e4029c96a1f8e3863
MD5 3cce3e21d66a5587312e0f2ab2362dfc
BLAKE2b-256 e6f903b8d430be0f2061bbe9e4064fb8215ab1b69bde29ec4dac662ae73ae679

See more details on using hashes here.

File details

Details for the file schematics-2.0.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for schematics-2.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3d6c8e8ac6e045a96988fac1005303e7e51a142700c5a7043b54422cc0545fd5
MD5 759ad7ddca3d10987023cad346a8d142
BLAKE2b-256 1ceec5f57660f605c616436786003a770ee07191c84d93ed71cd30ca017fc32e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page