Typical: Take Typing Further.
Project description
typical: Python's Typing Toolkit
Introduction
typical is a library devoted to runtime analysis, inference,
validation, and enforcement of Python types,
PEP 484 Type Hints, and
custom user-defined data-types.
It provides a high-level Functional API and Object API to suite most any occasion.
Getting Started
Installation is as simple as pip install -U typical. For more
installation options to make typical even faster, see the
Install section in the
documentation.
Help
The latest documentation is hosted at python-typical.org.
Starting with version 2.0, All documentation is hand-crafted markdown & versioned documentation can be found at typical's Git Repo. (Versioned documentation is still in-the-works directly on our domain.)
A Typical Use-Case
The decorator that started it all:
typic.al(...)
import typic
@typic.al
def hard_math(a: int, b: int, *c: int) -> int:
return a + b + sum(c)
hard_math(1, "3")
#> 4
@typic.al(strict=True)
def strict_math(a: int, b: int, *c: int) -> int:
return a + b + sum(c)
strict_math(1, 2, 3, "4")
#> Traceback (most recent call last):
#> ...
#> typic.constraints.error.ConstraintValueError: Given value <'4'> fails constraints: (type=int, nullable=False, coerce=False)
typical has both a high-level Object API and high-level
Functional API. In general, any method registered to one API is also
available to the other.
The Object API
from typing import Iterable
import typic
@typic.constrained(ge=1)
class ID(int):
...
@typic.constrained(max_length=280)
class Tweet(str):
...
@typic.klass
class Tweeter:
id: ID
tweets: Iterable[Tweet]
json = '{"id":1,"tweets":["I don\'t understand Twitter"]}'
t = Tweeter.transmute(json)
print(t)
#> Tweeter(id=1, tweets=["I don't understand Twitter"])
print(t.tojson())
#> '{"id":1,"tweets":["I don\'t understand Twitter"]}'
Tweeter.validate({"id": 0, "tweets": []})
#> Traceback (most recent call last):
#> ...
#> typic.constraints.error.ConstraintValueError: Given value <0> fails constraints: (type=int, nullable=False, coerce=False, ge=1)
The Functional API
import dataclasses
from typing import Iterable
import typic
@typic.constrained(ge=1)
class ID(int):
...
@typic.constrained(max_length=280)
class Tweet(str):
...
@dataclasses.dataclass # or typing.TypedDict or typing.NamedTuple or annotated class...
class Tweeter:
id: ID
tweets: Iterable[Tweet]
json = '{"id":1,"tweets":["I don\'t understand Twitter"]}'
protocol = typic.protocol(Tweeter)
t = protocol.transmute(json) # or typic.transmute()
print(t)
#> Tweeter(id=1, tweets=["I don't understand Twitter"])
print(protocol.tojson(t))
#> '{"id":1,"tweets":["I don\'t understand Twitter"]}'
protocol.validate({"id": 0, "tweets": []}) # or typic.validate()
#> Traceback (most recent call last):
#> ...
#> typic.constraints.error.ConstraintValueError: Tweeter.id: value <0> fails constraints: (type=int, nullable=False, coerce=False, ge=1)
Changelog
See our Change Log and our Releases.
Release history Release notifications | RSS feed
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