pymapme 0.0.4

functionality for mapping one model into another

PyMapMe

PyMapMe is a tiny library for mapping pydantic models, it might be useful when you have some model and want to represent it using different structure.

Supported functionality:

• nested mapping
• using helper functions with the access to InModel (see _get_full_name)
• using context data, when you need to extend your model with some extra data

Getting started

from typing import Any

from pydantic import BaseModel, Field
from pymapme.models.mapping import MappingModel


class Person(BaseModel):
    name: str
    surname: str


class Profile(BaseModel):
    nickname: str
    person: Person


class User(MappingModel):
    nickname: str = Field(source='nickname')
    first_name: str = Field(source='person.name')
    surname: str = Field(source='person.surname')
    full_name: str = Field(source_func='_get_full_name')
    age: int = Field(source_func='_get_age_from_context')

    @staticmethod
    def _get_full_name(model: Profile, default: Any):
        return model.person.name + ' ' + model.person.surname

    @staticmethod
    def _get_age_from_context(model: Profile, default: Any, age: int):
        return age


extra = {'age': 35}
profile = Profile(nickname='baobab', person=Person(name='John', surname='Smith'))
user = User.build_from_model(profile, context=extra)
print(user.dict())
# {'nickname': 'baobab', 'first_name': 'John', 'surname': 'Smith', 'full_name': 'John Smith', 'age': 35}

Development

Run tests:

make run-unit-tests

Run static analysis:

make run-static-analysis

Build package:

make build-package

Installation

It is recommended to use Poetry:

poetry add pymapme