pytypehint 1.1.0
Validate data and build ordinary dataclasses from Python type hints.
Supports nested models, lists, tuples, enums, unions and Annotated constraints.
Inspect the compiled schema or export it as portable data.
Types are exact: no implicit coercion. Python 3.11+, standard library only.
The schema and validation core of FuncToWeb.
pip install pytypehint
from dataclasses import dataclass
from typing import Annotated
from pytypehint import Min, struct_of
@dataclass
class Item:
name: str
quantity: Annotated[int, Min(1)] = 1
schema = struct_of(Item)
item = schema.build({"name": "Pen"}) # Item(name='Pen', quantity=1)
Compile once and reuse the schema. Invalid input raises SchemaTypeError or
SchemaValueError, with the failing field or index in the error path.
| Method | Result |
|---|---|
build(data) |
Dataclass instance; signature_of(fn) returns kwargs for fn(**kwargs) |
resolve(data) |
Validated dictionary with missing defaults filled at this level |
decode(data) |
Portable values restored to Python types |
to_dict() |
Portable schema description |
For portable input, use schema.build(schema.decode(data)).
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Release files for pytypehint 1.1.0
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