Skip to main content
Join the official 2020 Python Developers SurveyStart the survey!

Simple Models for Python

Project description

https://travis-ci.org/lamenezes/simple-model.svg?branch=master https://coveralls.io/repos/github/lamenezes/simple-model/badge.svg?branch=master https://badge.fury.io/py/pysimplemodel.svg

SimpleModel offers a simple way to handle data using classes instead of a plenty of lists and dicts.

It has simple objectives:

  • Define your fields easily (just a tuple, nor dicts or instances of type classes whatever)
  • Support for field validation
  • Conversion to dict

That’s it. If you want something more complex there are plenty of libraries and frameworks that does a lot of cool stuff.

How to install

pip install pysimplemodel

How to use

from simple_model import Model
from simple_model.exceptions import ValidationError


class Person(Model):
    fields = ('name', 'age', 'height', 'weight')
    allow_empty = ('height', 'weight')

    def validate_age(self, value):
        if 0 > value > 150:
            raise ValidationError

    def validate_height(self, value):
        if value <= 0:
            raise ValidationError
>> person = Person(name='John Doe', age=18)
>> person.name
'John Doe'
>> person.validate()
>> dict(person)
{'name': 'John Doe', 'age': 18, 'height': '', 'weight': ''}

Validation

Model values aren’t validated until the validated method is called:

>> person = Person()  # no exception
>> person.validate()
...
EmptyField: name field cannot be empty
>> person = Person(name='Jane Doe', age=60)
>> person.validate()  # now it's ok!

You may change the validate method to return a boolean instead of raising an exception:

>> person = Person()
>> person.validate(raise_exception=False)
False
>>> person = Person(name='Jane Doe', age=60)
>>> person.validate(raise_exception=False)
True

Cleaning

Sometimes it is necessary to clean some values of your models, this can be easily done using simple-model:

class CleanPerson(Model):
    fields = ('name', 'age')

    def clean_name(self, value):
        return value.strip()

    def clean_age(self, value):
        return int(value)

>> person = CleanPerson(name='John Doe  \n', age='10')
>> person.name, person.age
('John Doe  \n', '10')
>> person.clean()
>> person.name, person.age
('John Doe', 10)

Build many models

It’s possible to build many models in a single step, it can be done by passing an iterable to the build_many method.

people = [{'name': 'John Doe'}, {'name': 'John Doe II'}]
models = Person.build_many(people)

Conversion to Dict

To convert to dict is pretty straight-forward task:

>> person = Person(name='Jane Doe', age=60)
>> dict(person)
{'age': 60, 'height': None, 'name': 'Jane Doe', 'weight': None}

Simple model also supports dict conversion of nested models:

class SocialPerson(Model):
    fields = ('name', 'friend')

>> person = Person(name='Jane Doe', age=60)
>> other_person = SocialPerson(name='John Doe', friend=person)
>> dict(other_person)
{'friend': {'age': 60, 'height': None, 'name': 'Jane Doe', 'weight': None}, 'name': 'John Doe'}

It also supports nested models as lists:

class MoreSocialPerson(Model):
    fields = ('name', 'friends')

>> person = Person(name='Jane Doe', age=60)
>> other_person = Person(name='John Doe', age=15)
>> social_person = MoreSocialPerson(name='Foo Bar', friends=[person, other_person])
>> dict(social_person)
{
    'name': 'Foo Bar',
    'friends': [
        {
            'age': 60,
            'height': None,
            'name': 'Jane Doe',
            'weight': None
        },
        {
            'age': 15,
            'height': None,
            'name': 'John Doe',
            'weight': None
        }
    ]
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pysimplemodel, version 0.14.0
Filename, size File type Python version Upload date Hashes
Filename, size pysimplemodel-0.14.0.tar.gz (5.1 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page