typerighter 0.2.0

Data Types for Cynical Humans

Overview

Welcome to Typerighter, a project that makes it easy to with common types of data using roughly the same ideas as type systems. Instead of defining what a string is, it uses strings to define what URLs or datetimes are.

Its concepts are simple and built around ideas that require little effort for effective data management.

Schematics Rethink

I am the original author of https://github.com/schematics/schematics.

A community took over the Schematics project a while back, but I found I needed to solve the roughly the same validation and conversion problems in every new system I encountered, giving me an opportunity to continue learning about the problem space.

Typerighter is how I think about the problem ten years after Schematics.

Read The Docs

Learn more about it with our great documentation.

Example

Define a type by instantiating it with config parameters.

>>> string_type = types.StringType(max_length=12)

Validate data with that type definition.

>>> short_string = 'Take Five'
>>> string_type.validate(short_string)

Define a record with fields and instantiate it.

>>> class Artist(types.Record):
...     name = types.StringType(required=True)
...     website = types.URLType()
...
>>> artist_type = Artist()

Validate data with that record.

>>> band_data = {
...     'name': u'American Food',
...     'website': 'https://soundcloud.com/americanfood'
... })
>>> artist_type.validate(band_data)

Use a mutable structure instead of a dict for the data.

>>> american_food = artist_type.make_view(band_data)
>>> # Promote the reinterpretation of Take On Me
>>> american_food.website = 'https://soundcloud.com/americanfood/my-take-on-take-on-me'
>>> american_food.validate()