Skip to main content

Export a JSON Schema document to Markdown documentation.

Project description

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]
  --empty-columns / --no-empty-columns
                                  Remove empty columns from the output, useful
                                  when deprecated or examples are not used.
                                  [default: empty-columns]
  --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:

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jsonschema_markdown-0.3.6.tar.gz (8.9 kB view details)

Uploaded Source

Built Distribution

jsonschema_markdown-0.3.6-py3-none-any.whl (9.6 kB view details)

Uploaded Python 3

File details

Details for the file jsonschema_markdown-0.3.6.tar.gz.

File metadata

  • Download URL: jsonschema_markdown-0.3.6.tar.gz
  • Upload date:
  • Size: 8.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.2 Linux/6.5.0-1017-azure

File hashes

Hashes for jsonschema_markdown-0.3.6.tar.gz
Algorithm Hash digest
SHA256 6ea02f2e02b9e05d700af82e872acb5cb450de633d2f8c4cab9f4e6dcc48ed55
MD5 85095e4db99eb66922e220aad16d11f8
BLAKE2b-256 a2e76530e6041902924010c24136df69c72cc6c17d6efbda80d32a174e41a82c

See more details on using hashes here.

File details

Details for the file jsonschema_markdown-0.3.6-py3-none-any.whl.

File metadata

File hashes

Hashes for jsonschema_markdown-0.3.6-py3-none-any.whl
Algorithm Hash digest
SHA256 db0dae62f7a7788c70538054abd3d538ceb3c68cb776896cf099963be12d9647
MD5 e8bf78e49f4b5ccd39ef6468ce9be1f3
BLAKE2b-256 1efdc96af7628a5f329e8135684aa3881c6b27dda518d614685b9d807d68be4c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page