CQL2 JSON Pydantic
Pydantic v2 models for building CQL2 JSON filters.
Quick start
pip install cql2json-pydantic
from cql2json_pydantic import BinaryComparisonPredicate, BinaryComparisonPredicateOp, PropertyRef
query = BinaryComparisonPredicate(
op=BinaryComparisonPredicateOp.EQUAL,
args=[PropertyRef(property="city"), "Toronto"],
)
print(query.model_dump_json(exclude_none=True))
Output:
{"op":"=","args":[{"property":"city"},"Toronto"]}
Use model_dump_json(indent=2, exclude_none=True) for formatted JSON, or
model_dump(mode="json", exclude_none=True) for a JSON-compatible Python dictionary.
See more filter examples and their JSON output.
Project conventions
This project is templated a Hatch-based Python package with:
- Apache-2.0 license
- Keep a Changelog-compatible
CHANGELOG.md - Diátaxis documentation under
docs/ - top-level
mkdocs.yaml - Taskfile integration with
Terradue/taskfile-utils - GitHub Actions CI
Documentation
Project documentation: https://terradue.github.io/cql2json-pydantic/
Contribute
Submit a Github issue if you have comments or suggestions.
Local quality checks
Install Hatch and Taskfiles then install the Git hook:
task quality:pre-commit:install
Every commit runs Ruff (including the configured McCabe complexity limit), Ruff formatting, strict mypy checks, and the pytest suite.
Run the complete hook explicitly with:
task quality:pre-commit:run
License
1 maintainer
Metadata
1 maintainer
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