A declarative data mapper
Project description
data-mapper
A declarative data mapper
Description
Most projects work with different representations of the same data. The code that is written every time to morph data between its representations is mostly very repetitive. More over, it is always a deposit of bugs and issues which requires a developer or tester to unit-test it.
This package is an attempt to solve these problems... well, at least the most common ones.
And to make a developer job easier it is primarily designed to be used in declarative fashion: describe what you want and get it right after.
Use Cases and Features
Here are examples of the most common use-cases and features:
Different Naming Schemes
This mapper looks for properties first_name
and last_name
in the data.
For property first_name
it tries to resolve it by the first key
'first_name'
, if not found it tries the second key 'name'
.
The similar process goes for property last_name
.
from data_mapper.mappers import Mapper from data_mapper.properties import Property class PersonMapper(Mapper): first_name = Property('first_name', 'name') last_name = Property('last_name', 'surname') mapper = PersonMapper() assert mapper.get({ 'first_name': 'Ivan', 'surname': 'Bogush', }) == { 'first_name': 'Ivan', 'last_name': 'Bogush', } assert mapper.get({ 'name': 'Ivan', 'surname': 'Bogush', }) == { 'first_name': 'Ivan', 'last_name': 'Bogush', }
This use-case has a story :)
It was the first issue I wanted to solve in my other project. I had different naming schemes in different data sources, and in my databases. All of them used different names for product categories: 'categories', 'category', 'categoryId'. I found it very boring to write repeatable code to convert the same data.
Arbitrary operations on resolved values
Full Name String Construction
This one resolves properties first_name
, middle_name
[optionally] and
last_name
and combines them into a single string — full_name
.
from data_mapper.properties.operations import Operation from data_mapper.properties.string import StringProperty full_name = Operation( StringProperty('first_name'), StringProperty('middle_name', required=False), StringProperty('last_name'), func=lambda *args: ' '.join(filter(None, args)), ) assert 'Anton Pavlovich Chekhov' == full_name.get(dict( first_name='Anton', middle_name='Pavlovich', last_name='Chekhov', )) assert 'Anton Chekhov' == full_name.get(dict( first_name='Anton', last_name='Chekhov', ))
Object mapping
Dict to Object
Let's assume we have a class Person
:
class Person: def __init__( self, id_: int, first_name: str, last_name: str, middle_name: str = None, ): self.id = id_ self.first_name = first_name self.last_name = last_name self.middle_name = middle_name
A mapper from dict with corresponding keys to an instance of class Person
could be defined by subclassing ObjectMapper
:
from data_mapper.mappers.object import ObjectMapper from data_mapper.properties.compound import CompoundProperty from data_mapper.properties.compound_list import CompoundListProperty from data_mapper.properties.integer import IntegerProperty from data_mapper.properties.string import StringProperty class PersonMapper(ObjectMapper): init = Person args = CompoundListProperty( IntegerProperty('id'), StringProperty('first_name'), StringProperty('last_name'), ) kwargs = CompoundProperty( middle_name=StringProperty(required=False), ) first, middle, last = 'Iosif Aleksandrovich Brodsky'.split() person = PersonMapper().get(dict( id=1940, first_name=first, middle_name=middle, last_name=last, )) assert isinstance(person, Person) assert person.id == 1940 assert person.first_name == first assert person.middle_name == middle assert person.last_name == last
Exactly the same can be done by instantiating the ObjectMapper
:
from data_mapper.mappers.object import ObjectMapper from data_mapper.properties.compound import CompoundProperty from data_mapper.properties.compound_list import CompoundListProperty from data_mapper.properties.integer import IntegerProperty from data_mapper.properties.string import StringProperty mapper = ObjectMapper( init=Person, args=CompoundListProperty( IntegerProperty('id'), StringProperty('first_name'), StringProperty('last_name'), ), kwargs=CompoundProperty( middle_name=StringProperty(required=False), ), ) first, middle, last = 'Iosif Aleksandrovich Brodsky'.split() person = mapper.get(dict( id=1940, first_name=first, middle_name=middle, last_name=last, )) assert isinstance(person, Person) assert person.id == 1940 assert person.first_name == first assert person.middle_name == middle assert person.last_name == last
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