A tool to check whether a JSON schema is subset/subschema of another JSON schema.
Project description
GHGA JSON Subschema
Note: This is a fork of IBM/jsonsubschema maintained by the German Human Genome-Phenome Archive (GHGA). It was created to bring in necessary fixes, updates, and functionality required by GHGA-related projects.
ghga-jsonsubschema checks if one JSON schema is a subschema (subtype) of another.
For any two JSON schemas s1 and s2, s1 <: s2 (reads s1 is subschema/subtype of s2) if every JSON document instance that validates against s1 also validates against s2.
jsonsubschema is very useful in analysing schema evolution and ensuring that newer schema versions are backward compatible. jsonsubschema also enables static type checking on different components of a system that uses JSON schema to describe data interfaces among the system's different components.
For a practical overview of the architecture, purpose, and usage of this library, please see DETAILS.md. For the formal foundations and deep technical details, please refer to the ISSTA 2021 paper by Andrew Habib, Avraham Shinnar, Martin Hirzel, and Michael Pradel, the original authors of this library.
Installation
Requirements
- Python 3.13+
Install from PyPI
pip install ghga-jsonsubschema
Install from source
git clone https://github.com/ghga-de/ghga-jsonsubschema.git
cd ghga-jsonsubschema
uv sync
Running subschema
JSON subschema provides two usage interfaces:
CLI interface
First, create two JSON schema examples by executing the following:
echo '{"type": ["null", "string"]}' > s1.json
echo '{"type": ["string", "null"], "not": {"enum": [""]}}' > s2.json
Then, invoke the CLI by executing:
python -m jsonsubschema s2.json s1.json
Python API
from jsonsubschema import is_subschema
def main():
s1 = {'type': "integer"}
s2 = {'type': ["integer", "string"]}
print(f'LHS <: RHS {is_subschema(s1, s2)}')
if __name__ == "__main__":
main()
Development
Set up a local development environment:
uv sync --extra dev
uv run pre-commit install
Run the test suite:
uv run pytest tests/
Run the test suite with coverage:
uv run pytest --cov tests/
Changes made by GHGA
This fork is based on version 0.0.8 of IBM/jsonsubschema and introduces additional changes:
- Public API names have been changed to align with PEP 8.
- The minimum required Python version is now 3.13.
- Packaging uses more modern conventions.
- Tests have been converted from
unittesttopytest. - An empty
enumis now treated as an uninhabited schema. - Bugs inherited from upstream have been fixed: negating a numeric schema now
respects
exclusiveMinimum/exclusiveMaximum, intersecting numeric schemas no longer drops exclusive bounds, nestedanyOfunions are now fully flattened (previously, adjacent nested unions could make two equivalent schemas compare as unrelated), and arrays with at most one item are now recognized as satisfyinguniqueItems. - The
dependencieskeyword (which upstream silently ignores) now raisesexceptions.UnsupportedDependenciesinstead of potentially returning unsound verdicts. - Negating an integer schema (e.g.
{"not": {"type": "integer", "minimum": 10, "maximum": 20}}) now yields the exact complement — including the non-integer numbers, represented internally as{"type": "number", "not": {"multipleOf": 1}}— where upstream silently computes a too-small complement that can yield unsound verdicts. Only negating a numeric schema with a non-trivialmultipleOf(whose complement would contain the non-multiples) raisesexceptions.UnsupportedNegatedNumericinstead of returning potentially wrong results. - Uninhabited numeric schemas whose
multipleOfhas no multiple within the schema's bounds are now recognized as such, and subtype checks of numeric schemas admitting a single value are now exact (e.g.{"type": "integer"}is now a subschema of{"type": "number", "multipleOf": 0.5}).
License
This repository is distributed under the terms of the Apache 2.0 License, see LICENSE.txt.
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