typantic 0.1.1

Auto-generate Typer CLI interfaces from Pydantic models.

typantic

Auto-generate Typer CLI interfaces from Pydantic models.

Define your config once as a Pydantic model with validators, and get a fully-typed CLI for free — no duplication, no drift.

Installation

pip install typantic

Quick start

from pathlib import Path
from typing import Annotated

import typer
from pydantic import AfterValidator, BaseModel, Field

from typantic import pydantic_to_typer


# 1. Define your config with validators
class Config(BaseModel):
    images: Annotated[
        list[Path],
        Field(description="Image folders to process.", kw_only=False),
    ]
    output: Annotated[
        Path,
        AfterValidator(Path.resolve),
        Field(description="Output directory.", kw_only=True),
    ]
    threshold: Annotated[
        float,
        Field(default=0.5, description="Detection threshold.", kw_only=True),
    ]
    seed: Annotated[
        int | None,
        Field(default=None, description="Random seed.", kw_only=True),
    ]


# 2. Use the decorator — that's it
app = typer.Typer()

@app.command()
@pydantic_to_typer(Config)
def run(config: Config):
    """Process images with validation."""
    print(config)

if __name__ == "__main__":
    app()

$ python example.py --help

 Usage: example.py [OPTIONS] IMAGES...

 Process images with validation.

╭─ Arguments ──────────────────────────────────────────────────╮
│ *  images  IMAGES...  Image folders to process.  [required]  │
╰──────────────────────────────────────────────────────────────╯
╭─ Options ────────────────────────────────────────────────────╮
│ *  --output     PATH     Output directory.  [required]       │
│    --threshold  FLOAT    Detection threshold.  [default: 0.5]│
│    --seed       INTEGER  Random seed.                        │
│    --help                Show this message and exit.         │
╰──────────────────────────────────────────────────────────────╯

How it works

The @pydantic_to_typer(Model) decorator:

1. Reads Model.model_fields to discover field names, types, descriptions, and defaults
2. Strips Annotated validator metadata to extract the base types Typer understands
3. Maps kw_only=False → typer.Argument, kw_only=True → typer.Option
4. Rewrites the function's __signature__ so Typer sees the expanded parameters
5. At call time, passes the raw CLI values into Model(...) so all Pydantic validators run

Your function receives the validated model instance — validators, default_factory, union types, and everything else works exactly as in Pydantic.

Features

Pydantic	CLI result
kw_only=False	typer.Argument (positional)
kw_only=True or unset	typer.Option (--flag)
Field(description=...)	help=... in the CLI
Field(default=...)	Default value shown in --help
Field(default_factory=...)	Factory called once at decoration time
int | None	Optional CLI option
list[Path]	Variadic positional argument
AfterValidator, BeforeValidator	Run at call time via Pydantic

Requirements

• Python ≥ 3.12
• Pydantic ≥ 2.0
• Typer ≥ 0.26

License

MIT