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        "author": "OkThought",
        "author_email": "bogush.vano@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "# data-mapper\nA declarative data mapper\n\n![PyPI](https://img.shields.io/pypi/v/data-mapper?style=for-the-badge)\n![Travis (.org) branch](https://img.shields.io/travis/OkThought/data-mapper/master?logo=travis&style=for-the-badge)\n\n## Disclaimer\nI don't know if anyone uses this library except for me so I'm not\nputting much effort in writing good documentation. If you are using it\nor just thinking about using it, give me a sign of your attention (e.g.\nstar this repo, or open an issue) and this will definitely motivate me\nto do it ;)\n\n## Description\n\nMost projects work with different representations of the same data.\nThe code that is written every time to morph data between its representations\nis mostly very repetitive. More over, it is always a deposit of bugs and issues\nwhich requires a developer or tester to unit-test it.\n\nThis package is an attempt to solve these problems... well, at least the most\ncommon ones.\n\nAnd to make a developer job easier it is primarily designed to be used\nin declarative fashion: describe what you want and get it right after.\n\n## Use Cases and Features\n\nHere are examples of the most common use-cases and features: \n\n### Different Naming Schemes\n\nThis mapper looks for properties `first_name` and `last_name` in the data.\nFor property `first_name` it tries to resolve it by the first key \n`'first_name'`, if not found it tries the second key `'name'`.\nThe similar process goes for property `last_name`.\n\n```python\nfrom data_mapper.mappers import Mapper\nfrom data_mapper.properties import Property\n\nclass PersonMapper(Mapper):\n    first_name = Property('first_name', 'name')\n    last_name = Property('last_name', 'surname')\n\nmapper = PersonMapper()\n\nassert mapper.get({\n    'first_name': 'Ivan', \n    'surname': 'Bogush',\n}) == {\n    'first_name': 'Ivan', \n    'last_name': 'Bogush',\n}\n\nassert mapper.get({\n    'name': 'Ivan', \n    'surname': 'Bogush',\n}) == {\n    'first_name': 'Ivan', \n    'last_name': 'Bogush',\n}\n```\n\nThis use-case has a story :)\n> It was the first issue I wanted to solve in my other project. I had different \nnaming schemes in different data sources, and in my databases. All of them used \ndifferent names for product categories: 'categories', 'category', 'categoryId'.\nI found it very boring to write repeatable code to convert the same data.\n\n### Arbitrary functions on resolved values\n\n#### Full Name String Construction\nThis one resolves properties `first_name`, `middle_name` [optionally] and \n`last_name` and combines them into a single string \u2014 `full_name`.\n\n```python\nfrom data_mapper.shortcuts import F, Str, L\n\nfull_name = F(\n    ' '.join,\n    L(\n        Str('first_name'),\n        Str('middle_name', required=False),\n        Str('last_name'),\n        skip_none=True,\n    ),\n)\n\nassert 'Anton Pavlovich Chekhov' == full_name.get(dict(\n    first_name='Anton',\n    middle_name='Pavlovich',\n    last_name='Chekhov',\n))\n\nassert 'Anton Chekhov' == full_name.get(dict(\n    first_name='Anton',\n    last_name='Chekhov',\n))\n```\n\n### Object mapping\n\n#### Dict to *Object*\n\nLet's assume we have a class `Person`:\n```python\nclass Person:\n    def __init__(\n            self,\n            id_: int,\n            first_name: str,\n            last_name: str,\n            middle_name: str = None,\n    ):\n        self.id = id_\n        self.first_name = first_name\n        self.last_name = last_name\n        self.middle_name = middle_name\n```\n\nA mapper from dict with corresponding keys to an instance of class `Person` \ncould be defined by subclassing `ObjectMapper`:\n\n```python\nfrom data_mapper.mappers.object import ObjectMapper\nfrom data_mapper.properties import (\n    CompoundProperty, CompoundListProperty, IntegerProperty, StringProperty,\n)\n\n\nclass PersonMapper(ObjectMapper):\n    init = Person\n    args = CompoundListProperty(\n        IntegerProperty('id'),\n        StringProperty('first_name'),\n        StringProperty('last_name'),\n    )\n    kwargs = CompoundProperty(\n        middle_name=StringProperty(required=False),\n    )\n\nfirst, middle, last = 'Iosif Aleksandrovich Brodsky'.split()\nperson = PersonMapper().get(dict(\n    id=1940,\n    first_name=first,\n    middle_name=middle,\n    last_name=last,\n))\n\nassert isinstance(person, Person)\nassert person.id == 1940\nassert person.first_name == first\nassert person.middle_name == middle\nassert person.last_name == last\n```\n\nExactly the same can be done by instantiating the `ObjectMapper`:\n\n```python\nfrom data_mapper.mappers.object import ObjectMapper\nfrom data_mapper.properties import (\n    CompoundProperty, CompoundListProperty, IntegerProperty, StringProperty,\n)\n\n\nmapper = ObjectMapper(\n    init=Person,\n    args=CompoundListProperty(\n        IntegerProperty('id'),\n        StringProperty('first_name'),\n        StringProperty('last_name'),\n    ),\n    kwargs=CompoundProperty(\n        middle_name=StringProperty(required=False),\n    ),\n)\n\nfirst, middle, last = 'Iosif Aleksandrovich Brodsky'.split()\nperson = mapper.get(dict(\n    id=1940,\n    first_name=first,\n    middle_name=middle,\n    last_name=last,\n))\n\nassert isinstance(person, Person)\nassert person.id == 1940\nassert person.first_name == first\nassert person.middle_name == middle\nassert person.last_name == last\n```\n\n\n",
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