Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/elisiariocouto/jsonschema-markdown
📖 Generate markdown documentation based on a JSON Schema document
https://github.com/elisiariocouto/jsonschema-markdown
documentation documentation-generator jsonschema jsonschema-markdown markdown
Last synced: 9 days ago
JSON representation
📖 Generate markdown documentation based on a JSON Schema document
- Host: GitHub
- URL: https://github.com/elisiariocouto/jsonschema-markdown
- Owner: elisiariocouto
- License: mit
- Created: 2023-07-18T20:32:02.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-24T20:26:57.000Z (23 days ago)
- Last Synced: 2024-10-26T07:19:51.564Z (21 days ago)
- Topics: documentation, documentation-generator, jsonschema, jsonschema-markdown, markdown
- Language: Python
- Homepage: https://pypi.org/project/jsonschema-markdown/
- Size: 182 KB
- Stars: 14
- Watchers: 1
- Forks: 6
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# jsonschema-markdown
[![PyPI](https://img.shields.io/pypi/v/jsonschema-markdown)](https://pypi.org/project/jsonschema-markdown/)
[![Docker](https://img.shields.io/docker/v/elisiariocouto/jsonschema-markdown)](https://hub.docker.com/r/elisiariocouto/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.
Easy to use in CI/CD pipelines, as a Docker image is available.
## Installation
```bash
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.```bash
$ jsonschema-markdown --help
Usage: jsonschema-markdown [OPTIONS] FILENAMELoad 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]
--examples-format [text|yaml|json]
Format of the examples in the output.
[default: text]
--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.```bash
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](https://hub.docker.com/r/elisiariocouto/jsonschema-markdown)
- [ghcr.io/elisiariocouto/jsonschema-markdown](https://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.```python
import jsonschema_markdownwith open('schema.json') as f:
schema = json.load(f)markdown = jsonschema_markdown.generate(schema)
```## Features
The goal is to support the latest JSON Schema specification, `2020-12`. However,
this project does not currently support all features, but it should support:- Required fields
- String patterns
- Enumerations
- Default values
- Descriptions and titles
- Nested objects using `$defs` or `definitions`
- Basic `oneOf`, `anyOf`, `allOf` functionality
- Arrays
- Integers with minimum, maximum values and exclusives
- Boolean values
- Deprecated fields (using the `deprecated` option, additionaly searches for case-insensitive `deprecated` in the field description)
- Supports optional YAML and JSON formatting for examples## Caveats
- This project is still in early development, and the output may change in the future.
- Custom definitions are expected to be in the same file as the schema that uses them,
in the `definitions` or `$defs` parameter at the root of the document.
- Inline nested definitions are not represented in the output yet. See #18.---
## Examples
### Example 1 Input
Given the following JSON Schema:
```json
{
"$id": "https://example.com/movie.schema.json",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"description": "A representation of a movie",
"type": "object",
"required": ["title", "director", "releaseDate"],
"properties": {
"title": {
"type": "string"
},
"director": {
"type": "string"
},
"releaseDate": {
"type": "string",
"format": "date"
},
"genre": {
"type": "string",
"enum": ["Action", "Comedy", "Drama", "Science Fiction"]
},
"duration": {
"type": "string"
},
"cast": {
"type": "array",
"items": {
"type": "string"
},
"additionalItems": false
}
}
}
```### Example 1 Ouput
The following markdown will be generated:---
# jsonschema-markdown
A representation of a movie
### Type: `object`
| Property | Type | Required | Possible values | Deprecated | Default | Description | Examples |
| -------- | ---- | -------- | --------------- | ---------- | ------- | ----------- | -------- |
| title | `string` | ✅ | string | | | | |
| director | `string` | ✅ | string | | | | |
| releaseDate | `string` | ✅ | Format: [`date`](https://json-schema.org/understanding-json-schema/reference/string#built-in-formats) | | | | |
| genre | `string` | | `Action` `Comedy` `Drama` `Science Fiction` | | | | |
| duration | `string` | | string | | | | |
| cast | `array` | | string | | | | |---
Markdown generated with [jsonschema-markdown](https://github.com/elisiariocouto/jsonschema-markdown).
---
### Example 2
In [tests/model.py](tests/model.py) you can see a more complex example of a model that is exported as a JSON Schema.
The output can be seen in [tests/model.md](tests/model.md).