typesentinel 0.2.1

Runtime type checking decorators with sync and async support.

typesentinel

typesentinel is a lightweight, dependency-free library for runtime type checking of Python function arguments. It supports both synchronous and asynchronous functions, Union types, custom failure handlers, and signature-aware error messages.

pip install typesentinel

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🧠 Why typesentinel?

Other libraries like Pydantic, Beartype, Enforce, or typeguard offer runtime validation, but often come with heavy dependencies, global monkey-patching, performance costs, or complicated configuration.

typesentinel focuses on one thing and does it well:

• ✔ Minimal — zero dependencies, tiny footprint
• ✔ Explicit — works only where you decorate; never global
• ✔ Async-friendly — supports async functions & async failure handlers
• ✔ Precise errors — error messages include the real parameter names
• ✔ Flexible — annotations, shorthand, or explicit TypeCheck objects
• ✔ Safe — never mutates your function’s signature or typing info

If you want simple, predictable runtime validation with no overhead, typesentinel is built for you.

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🚀 Quick Start

Type checking from function annotations

from pytype_check.decorator import type_check

@type_check
def greet(name: str, excited: bool = False):
    return f"Hello, {name}{'!' if excited else ''}"

greet("Alice")       # OK
greet(123)           # ❌ Invalid type for argument 'name': expected str, got int

Shorthand keyword type checks

@type_check(name=str, times=int)
async def repeat(name, times):
    return ", ".join(name for _ in range(times))

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🔍 Union Type Support

from typing import Union

@type_check(a=Union[int, str])
def fn(a):
    return a

@type_check(a=int | str)
def fn(a):
    return a

Error message:

Invalid type for argument 'a': expected int | str, got float

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🛠 Custom Failure Handling

from pytype_check.decorator import type_check
from pytype_check.type_check import TypeCheckResult

async def capture(*fails: TypeCheckResult):
    raise ValueError("validation failed")

@type_check(a=int, on_failure=capture)
async def double(a):
    return a * 2

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🧩 Explicit TypeCheck Objects

from pytype_check.decorator import type_check
from pytype_check.type_check import TypeCheck, ArgKind

checks = [
    TypeCheck(0, int, ArgKind.POSITIONAL),
    TypeCheck("label", str, ArgKind.KEYWORD, message="label must be a string"),
]

@type_check(checks)
def render(value, *, label):
    return f"{label}: {value}"

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🧪 Testing

python -m pytest

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📄 License

MIT License. See LICENSE for details.

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