The fox spirit is an especially prolific shapeshifter
There are a few too many ways of describing a data model in Python--see below code chunk for a non-comprehensive list. All of them represent the same concept, but have different approaches in their philosophies and implementations. This library strives, to a reasonable and useful extent, to provide a seamless translation between them.
from dataclasses import dataclass
from typing import NamedTuple, TypedDict
from collections import namedtuple
import attrs
import msgspec
import pydantic
@dataclass
class FooDataclass:
bar: str
baz: int = 1
class FooNamedTuple(NamedTuple):
bar: str
baz: int = 1
# `typing.TypedDict` does not allow right hand side assignment
class FooNamedTuple(TypedDict):
bar: str
baz: int
# Attributes can be specified via:
# - a sequence of strings (as below)
# - a single string with each field name separated by whitespace
# and/or commas (e.g., "bar baz", "bar, baz")
FooNamedTuple2 = namedtuple("FooNamedTuple2", ["bar", "baz"])
@attrs.define
class FooAttrs:
bar: str
baz: int = 1
FooAttrs2 = attrs.make_class(
"FooAttrs2",
{"bar": attrs.field(type=str), "baz": attrs.field(type=int, default=1)}
)
class FooMsgspec(msgspec.Struct):
bar: str
baz: int = 1
class FooPydantic(pydantic.BaseModel):
bar: str
baz: int = 1
FooPydantic2 = pydantic.create_model("FooPydantic2", bar=(str, ...), baz=(int, 1))Ninetales is a Pokemon loosely based on the nine-tailed fox, mythical fox entity in Chinese, Korean, Vietnamese, and Japanese folklore. "The fox spirit is an especially prolific shapeshifter", is the approach this library takes to converting between Python data model paragigms.
For the time being and until we have a stable enough API:
git clone git@github.com:gorkaerana/ninetales.git
cd ninetales
python3 -m venv .venv
. .venv/bin/activate
python3 -m pip install -U pip
python3 -m pip install .git clone git@github.com:gorkaerana/ninetales.git
cd ninetales
rye sync