Skip to main content

Kylie

https://img.shields.io/travis/judy2k/kylie.svg https://coveralls.io/repos/judy2k/kylie/badge.svg?branch=master Code Health https://img.shields.io/pypi/v/kylie.svg

Kylie provides mappings between JSON data structures and Python objects. It provides a reasonable amount of power with only a tiny bit of magic, and it has 100% code coverage.

Features

Example

class SpanishInquisitionModel(Model):
    inquisition_id = Attribute('id')
    expected = Attribute(python_type=bool, serialized_type=int)

Then:

>>> surprise = SpanishInquisitionModel(inquisition_id=1234, expected=False)
>>> surprise.inquisition_id
1234
>>> surprise.serialize()
{'id': 1234, expected=0}

Note that the attribute inquisition_id becomes the dict key "id", and expected is mapped to 0 instead of False.

We can now take this dict, dumps it to JSON, and somewhere else call the following on the json_data (which is a dict returned from loads):

>>> my_surprise = SpanishInquisitionModel.deserialize(json_data)
>>> my_surprise.inquisition_id
1234
>>> my_surprise.expected
False

Kylie supports nested models, so you can embed other Model instances inside the data, and Kylie will manage serialization and deserialization of them for you.

Non-Features

So what doesn’t Kylie do yet? Well, there are a few things, because it’s very new:

  • Doesn’t have any mechanism for validation. I plan to add this once I decide the best way to do it. Ideas welcome!

  • Doesn’t have any built-in mechanism for choosing between different types to deserialize a dict to. This can be done through customized type mapper functions. At the very least, I’ll document this soon. I plan to add the ability to automatically deserialize to a type based on, for example, a __type__ item in the dict.

  • No post-serialize or post-deserialize options, unless you do it yourself. This would allow wiring up of objects that are referred to by id and provided elsewhere in the serialized data-structure, for example.

So, lots to do, but I think Kylie is already useful.

Why is it called Kylie?

Back in the late 80’s (I’m old!) Kylie and Jason were today’s Kim and Kanye. This Kylie works well with JSON. Geddit?

http://upload.wikimedia.org/wikipedia/en/1/1a/KylieEspeciallyForYouCover.png

History

0.3.0 (2015-06-05)

  • MappedModelChoice & BaseModelChoice for determining Model to deserialize at runtime.

  • Change to internal Attribute interface (will lead to minor version bump)

    _apply_model has been replaced with a direct set of attr_name.

  • Minor code quality improvements.

  • Documentation improvements.

0.2.0 (2015-04-22)

  • Added list support to Relation with sequence=True parameter.

0.1.1 (2015-04-12)

  • Removed print statement inside class constructor.

0.1.0 (2015-04-12)

  • First release on PyPI.

Download files

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

Source Distribution

kylie-0.3.0.tar.gz (19.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kylie-0.3.0-py2.py3-none-any.whl (9.4 kB view details)

Uploaded Python 2Python 3

File details

Details for the file kylie-0.3.0.tar.gz.

File metadata

  • Download URL: kylie-0.3.0.tar.gz
  • Upload date:
  • Size: 19.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for kylie-0.3.0.tar.gz
Algorithm Hash digest
SHA256 82561bb4216c9c51618656789db93d32c8b7816d9c4901cbd491c5f6775bb248
MD5 5f49a38070c379d2b456dd3abf7b85d4
BLAKE2b-256 0cba3cf470f6a83dfa3aaef9ab3e583e6c74d3e8efcdcb91b484f0569a5ba718

See more details on using hashes here.

File details

Details for the file kylie-0.3.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for kylie-0.3.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1c76d331ee637e9a5fec4835de3f829e989525cbf6e0955660866872799ba191
MD5 4180dff50d5acdbfb789790c85df99a5
BLAKE2b-256 9f7232055900ae88a9b37651eb9a4a90657ddd03c9e84584b2dfeec233daf699

See more details on using hashes here.

Release history Release notifications | RSS feed

0.3.1

2 files

This release

0.3.0 This release

2 files

0.2.0

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page