A dependency-free JSON validation library using TypedDict and Annotated
Project description
Pytastic
A dependency-free, high-performance JSON validation library using Python's native TypedDict and Annotated.
Highlights
- Zero Dependencies: Pure Python standard library.
- Dual API:
vx.User(data)for clean, dynamic usage.vx.validate(User, data)for full IDE type safety.
- Rich Constraints:
min,max,regex,unique,one_of,Literal, and nested validation.
Installation
pip install pytastic
Usage
from pytastic import Pytastic
from typing import TypedDict, Annotated, List, Literal
vx = Pytastic()
# 1. Define Schema
class User(TypedDict):
username: Annotated[str, "min_len=3; regex=^[a-z_]+$"]
age: Annotated[int, "min=18"]
role: Literal["admin", "user"]
vx.register(User)
# 2. Validate
try:
# Typed validation (IDE friendly)
user = vx.validate(User, {"username": "tersoo", "age": 25, "role": "admin"})
print(user)
# 3. Export JSON Schema
print(vx.schema(User))
except Exception as e:
print(e)
License
MIT
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