grammarie 0.1.1

Custom Pydantic types and validators

grammarie

Grammarie is a type of Fae magic that is the craft of making things be. This package helps you shape your data into its proper form.

More specifically, this package defines a set of types annotated in a way that let's Pydantic validate and/or coerce data into the target type and form.

In the example below, data is provided with wrong types and formats, but are coerced by the types defined by the model and its fields.

from datetime import UTC, datetime
from pydantic import BaseModel
from grammarie import Decimal1, IntTimestampMS, LowercaseStr, UppercaseStr


class PowerTransformer(BaseModel):
    id: LowercaseStr
    name: UppercaseStr
    voltage_primary: Decimal1
    voltage_secondary: Decimal1
    installation_date: IntTimestampMS


transformers = [
    PowerTransformer(
        id="d37dca6f-6f23-4401-8cc8-e3ee422939e4",
        name="S Ulven T1 Transformator",
        voltage_primary=420.00056,
        voltage_secondary="132",
        installation_date="2023-05-03 11:15:01",
    ),
    PowerTransformer(
        id="26381360-959A-4D39-8049-D20889FAE0d6",
        name="S Ofoten T2 Transformator",
        voltage_primary="420",
        voltage_secondary=300,
        installation_date=datetime(2021, 8, 16, 8, 35, 1, tzinfo=UTC),
    ),
]

print(transformers)
# [
#     PowerTransformer(
#         id='d37dca6f-6f23-4401-8cc8-e3ee422939e4',
#         name='S ULVEN T1 TRANSFORMATOR',
#         voltage_primary=Decimal('420.0'),
#         voltage_secondary=Decimal('132.0'),
#         installation_date=1683105301000
#     ),
#     PowerTransformer(
#         id='26381360-959a-4d39-8049-d20889fae0d6',
#         name='S OFOTEN T2 TRANSFORMATOR',
#         voltage_primary=Decimal('420.0'),
#         voltage_secondary=Decimal('300.0'),
#         installation_date=1629102901000
#     )
# ]

Installation

This package is available on PyPI and can be installed with pip, uv, pdm, poetry or any other package manager.

Development

This project uses Poetry to manage the environment and Python dependencies. To install the development environment and run the test suite:

poetry install
poetry run pytest

It's recommended to also install the pre-commit hooks:

poetry run pre-commit install

This ensures that linting and formatting are run automatically on every commit.