jsonschema-markdown 0.3.3

Export a JSON Schema document to Markdown documentation.

jsonschema-markdown

Generate markdown documentation from JSON Schema files. The main goal is to generate documentation that is easy to read and understand.

Can be used as a command line tool or as a library.

Installation

pipx install jsonschema-markdown

Usage

To use jsonschema-markdown as a CLI, just pass the filename as an argument and redirect the output to a file.

$ jsonschema-markdown --help
Usage: jsonschema-markdown [OPTIONS] FILENAME

  Load FILENAME and output a markdown version.

  Use '-' as FILENAME to read from stdin.

Options:
  -t, --title TEXT          Do not use the title from the schema, use this
                            title instead.
  --footer / --no-footer    Add a footer with a link to the project.
                            [default: footer]
  --resolve / --no-resolve  [Experimental] Resolve $ref pointers.  [default:
                            no-resolve]
  --debug / --no-debug      Enable debug output.  [default: no-debug]
  --version                 Show the version and exit.
  --help                    Show this message and exit.

# Example
$ jsonschema-markdown schema.json > schema.md

Usage with Docker

The jsonschema-markdown command is also available as a Docker image. To use it, you can mount the schema file as a volume.

cat my-schema.json | docker run --rm -i elisiariocouto/jsonschema-markdown - > schema.md

⚠️ Warning: Do not pass the -t flag.

The Docker image is available at:

• elisiariocouto/jsonschema-markdown
• ghcr.io/elisiariocouto/jsonschema-markdown

Usage as a library

To use it as a library, load your JSON schema file as Python dict and pass it to generate. The function will return a string with the markdown.

import jsonschema_markdown

with open('schema.json') as f:
    schema = json.load(f)

markdown = jsonschema_markdown.generate(schema)

Features

Partially inspired by json-schema-for-humans, this project does not currently support all features of JSON Schema, but it should support:

• Required fields
• String patterns
• Enumerations
• Default values
• Descriptions and titles
• Nested objects
• Basic OneOf, AnyOf, AllOf functionality
• Arrays
• Integers with minimum, maximum values and exclusives
• Boolean values
• Deprecation notices (searches for case-insensitive deprecated in the field description)

Caveats

• This project is still in early development, and the output may change in the future.
• Custom definitions are expected to be in the same file as the schema that uses them, in the definitions or $defs parameter at the root of the document.