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Description:

pittschemas 0.2

pitt_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 pitt_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 pitt_schemas import is_valid

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

pitt_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, pitt_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 pitt_schemas/ directory.
Tests
pitt_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 pitt_schemas/ directory.
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.