rac-schemas 0.30

RAC JSON Schemas and validators

rac_schemas

JSON schemas and validation helpers.

Requirements

• Python 3.4 or higher

• jsonschema

• tox (for running tests)

• pre-commit (for running linters before committing)

  • After installing pre-commit, install the git-hook scripts:

  $ pre-commit install
  

Installation

The recommended way to install this package is using pip:

pip install rac_schemas

Usage

This library has one main public method, is_valid(), which takes a dict as the first argument and a schema filename as the second.

from rac_schemas import is_valid

data = {"key": "value" ... }
is_valid(data, "object.json")

rac_schemas will attempt to add an appropriate extension to schema filenames in cases where it is either missing or incorrect. For example, if either schema and schema.org as schema filenames, rac_schemas will attempt to open schema.json.

Invalid data will raise a jsonschema.exceptions.ValidationError, and an invalid schema filename will raise a FileNotFoundError.

Available schemas

All schemas are located in the schemas/ subdirectory of the rac_schemas/ directory.

Tests

rac_schemas comes with unit tests as well as linting. The easiest way to make sure all tests pass is to run tox from the root of the repository. This will execute all tests, and will also run autopep8 and flake8 linters against the codebase.

Documentation

Automatically generated HTML documentation in the docs/ directory based upon .json files in the schemas/ subdirectory of the rac_schemas/ directory.

A simplified overview of the data model is below:

Requirements

• Python 3.4 or higher
• json-schema-for-humans

Usage

Running generate_docs.py will iterate over the schemas/ subdirectory and write updated docs files to the docs/ directory.

License

Code is released under an MIT license. SeeLICENSE.md.