jsonschema-gentypes 1.0.0

Tool to generate Python types based on TypedDict from a JSON Schema

JSON Schema generate Python types

Tools to generate Python types based on TypeDict from a JSON schema

Quick start

install:

python3 -m pip install --user jsonschema-gentype

Convert a JSON schema to a Python file contains the types:

jsonschema-gentype --json-schema=<JSON schema> --python=<destination Python>

Docker

You can also run it with Docker:

docker run --rm --user=$(id --user) --volume=$(pwd):/src camptocamp/jsonschema-gentypes

Config file

You can also write a config file named jsonschema-gentypes.yaml with:

headers: >
  # Automatically generated file from a JSON schema
# Used to correctly format the generated file
callbacks:
  - - black
  - - isort
generate:
  - # JSON schema file path
    source: jsonschema_gentypes/schema.json
    # Python file path
    destination: jsonschema_gentypes/configuration.py
    # The name of the root element
    root_name: Config
    # Argument passed to the API
    api_arguments:
      additional_properties: Only explicit
    # Rename an element
    name_mapping: {}

And just run:

jsonschema-gentype

Validation

This package also provide some validations features for YAML file based on jsonschema.

Additional features:

• Have the line and columns number in the errors, it the file is loaded with ruamel.yaml.
• Fill with the default provides in the JSON schema, disabled by default because it have some issue with OneOf and AnyOf.

    import ruamel.yaml
    import pkgutil
    import jsonschema_gentypes.validate

    schema_data = pkgutil.get_data("jsonschema_gentypes", "schema.json")
    with open(filename) as data_file:
        yaml = ruamel.yaml.YAML()  # type: ignore
        data = yaml.load(data_file)
    errors, data = jsonschema_gentypes.validate.validate(filename, data, schema, default)
    if errors:
        print("\n".join(errors))
        sys.exit(1)

Limitations

Requires Python 3.8

See the issues with label "limitation".

Contribute

The code should be formatted with isort and black.

The code should be typed.

The prospector tests should pass.

The code should be tested with pytests.