oblate

Python library for data validation


Keywords
data, data-validation, library, python, python3, schema, schema-validation
License
MIT
Install
pip install oblate==1.0.0

Documentation

Oblate — data, made easy

Oblate is a Python library that provides modern and robust interface for data and schema validation.

Focused around simplicity and flexibility, Oblate has the following features:

  • Intuitive and modern object oriented interface
  • Built in support for commonly used data structures
  • Easily extendible and customizable to suit every use case
  • Robust with no compromise on performance and speed
  • Typed and plays well with static type checking

DocumentationSource CodePython Package Index

Installation

Oblate is available on PyPi and can be installed using pip.

$ pip install oblate 

ℹ️ Didn't work? Try prefixing the above command with python -m if you don't have pip on PATH or the command doesn't work for some reason.

Usage

Oblate is focused around simplicity and ease of usage. Below snippet is an example of how data is handled using Oblate:

from oblate import validate, fields
import oblate

# A schema defines the structure of data
class Author(oblate.Schema):
    name = fields.String()  # Field must be a string
    bio = fields.String(none=True)  # Field allows None to be passed
    rating = fields.Integer(default=0)  # Optional field that defaults to 0

    # Apply custom validations to a field
    @validate.field(rating)
    def validate_rating(self, value, ctx):
        assert value >= 0 and value <= 10, 'Rating must be in range 0-10 inclusive'

class Book(oblate.Schema):
    title = fields.String()
    price = fields.Float()
    author = fields.Object(Author)

data = {
    'title': 'Art of Data Validation',
    'price': 20.30,
    'author': {
        'name': 'John',
        'bio': None,
        'rating': 4,
    }
}
book = Book(data)
print(f"{book.title} by {book.author.name}")

Check the Quickstart section in documentation for an introduction to the basics of library.