Odin provides a declarative framework for defining resources (classes) and their relationships, validation of the fields that make up the resources and mapping between objects (either a resource, or other python structures).
Odin also comes with built in serialisation tools for importing and exporting data from resources.
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- Class based declarative style
- Class based annotations style! ✨ new in 2.0
- Fields for building composite resources
- Field and Resource level validation
- Easy extension to support custom fields
- Python 3.8+ and PyPy 1 supported
- Support for documenting resources with Sphinx
- Minimal dependencies
1 certain contrib items are not supported. Pint is not installable with PyPy.
- Design, document and validate complex (and simple!) data structures
- Convert structures to and from different formats such as JSON, YAML, MsgPack, CSV, TOML
- Validate API inputs
- Define message formats for communications protocols, like an RPC
- Map API requests to ORM objects
In development
- XML Codec (export only)
- Complete documentation coverage
- Improvements for CSV Codec (writing, reading multi resource CSV's)
Optional
- simplejson - Odin will use simplejson if it is available or fallback to the builtin json library
- msgpack-python - To enable use of the msgpack codec
- pyyaml - To enable use of the YAML codec
- toml - To enable use of the TOML codec
Contrib
- arrow - Support for Arrow data types.
- pint - Support for physical quantities using the Pint library.
Development
- pytest - Testing
- pytest-cov - Coverage reporting
Definition
import odin
class Author(odin.Resource):
name = odin.StringField()
class Publisher(odin.Resource):
name = odin.StringField()
class Book(odin.Resource):
title = odin.StringField()
authors = odin.ArrayOf(Author)
publisher = odin.DictAs(Publisher)
genre = odin.StringField()
num_pages = odin.IntegerField()
Using Annotations
import odin
class Author(odin.AnnotatedResource):
name: str
class Publisher(odin.AnnotatedResource):
name: str
website: Optional[odin.Url]
class Book(odin.AnnotatedResource):
title: str
authors: List[Author]
publisher: Publisher
genre: str
num_pages: int
Usage:
>>> b = Book(
title="Consider Phlebas",
genre="Space Opera",
publisher=Publisher(name="Macmillan"),
num_pages=471
)
>>> b.authors.append(Author(name="Iain M. Banks"))
>>> from odin.codecs import json_codec
>>> json_codec.dumps(b, indent=4)
{
"$": "Book",
"authors": [
{
"$": "Author",
"name": "Iain M. Banks"
}
],
"genre": "Space Opera",
"num_pages": 471,
"publisher": {
"$": "Publisher",
"name": "Macmillan"
},
"title": "Consider Phlebas"
}