Avro to Markdown

About The Project

Avro to markdown is a very simple project that generates readable markdown from an avro schema. This is useful to be able to generate readable, always up-to-date documentation on the schemas you use to exchange messages within your organization.

Getting Started

To get a local copy up and running follow these simple steps.

Installation

pip install avro-to-markdown

Usage

With avro_schema.avsc:

{
    "type": "record",
    "name": "User",
    "namespace": "example.avro",
    "fields": [
        {"name": "favorite_number", "type": "int", "doc": "Favorite number"}
    ]
}

>>> from pathlib import Path
>>> from avro_to_markdown import schema_to_markdown
>>> schema = json.loads(Path("avro_schema.avsc").read_text())
>>> print(schema_to_markdown("# My schema\n\nThis message has my favorite number.\n", schema))

# My schema

This message has my favorite number.

* favorite_number - Favorite number (number)

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. For detailed contributing guidelines, please see CONTRIBUTING.md

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Project Link: https://github.com/wayfair-incubator/avro-to-markdown/