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Strictly checks that a json schema is valid

Project description

# perfect-jsonschema
[![Build Status](](
_Because soft validation is not enough_

# Why
[JSON schema standard]( and its implementations stand that if you have something unfamiliar in your schema, it's not an error. In particular, you won't get an error if you made a typo or used something you thought as working. For example, this one is perfectly fine and valid:

"required": ["company"],
"type": "object",
"propertie": {"company": {"pattern": "^(Apple)$"}, "format": "url"},

But we want to catch those `propertie` typos and invalid `url` [formats](

The library rely on [jsonschema]( and supports additional keywords to ignore.

# Features

Derives the draft from the schema and yields a `jsonschema.SchemaError` if:
* A schema is empty
* A schema contains a keyword which is not a part of a jsonschema implementation or `extended_keywords` set
* A schema contains an invalid format value
* A schema fails with `jsonschema.check_schema()`

# Usage

from perfect-jsonschema import check

check(schema, extended_keywords={"tag"})
except Exception as e:

An exception example:

Traceback (most recent call last):
f"Schema contains invalid keywords for "
jsonschema.exceptions.SchemaError: Schema contains invalid keywords for
{'propertie', 'company'}

# Local development

pipenv install --dev
pipenv shell

# Contribution

Any contribution is welcome

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