Skip to main content

very simple model framework

Project description

As the name says, this is a very simple model framework. It can be used for data validation and (de-)serialization.

Installation

Install with pip:

$ pip install --user simple_model

Usage

Examples:

>>> from simple_model import Model, Attribute

>>> class Data(Model):
...     name = Attribute(str)
...     some_value = Attribute(str, optional=True)
...     another_value = Attribute(int, fallback=0)

>>> dict(Data(name = 'test', some_value = None, another_value = 12))
{ 'name': 'test', 'some_value': None, 'another_value': 12 }

>>> dict(Data(name = 'test', allow_missing=True))
{ 'name': 'test', 'some_value': None, 'another_value': 0 }

>>> dict(Data(name = 'test', unknown_value = True, allow_missing=True))
{ 'name': 'test', 'some_value': None, 'another_value': 0 }

>>> init_dict = {'name': 'test', 'some_value': 'val', 'another_value': 3}
>>> Data(**init_dict)
{ 'name': 'test', 'some_value': 'val', 'another_value': 3 }

Initializing with missing attributes while not specifying to allow them will result in an AssertionError.

The default behaviour for missing attributes can be changed:

>>> class Data(Model):
...     _allow_missing = True

Serialization can be achieved easily, for example:

>>> import json
>>> def serialize(model):
...     return json.dumps(dict(model))

>>> def deserialize(string):
...     return Data(**json.loads(string))

Since the Model class simply calls the Attribute class for each parameter and the Attribute class in turn calls the given ‘type’, one could easily use functions instead of types to achieve more complex results and value parsing:

>>> from datetime import datetime
>>> def parse_date(string):
...     return datetime.strptime(string, '%Y-%m-%d')

>>> class Data(Model):
...     date = Attribute(parse_date)

>>> dict(Data('2015-11-20'))
{ 'date': datetime.datetime(2015, 11, 20, 0, 0) }

Fallback values can also be given as functions

>>> def fun():
...     return "foo"

>>> class Data(Model):
...     point = Attribute(str, fallback=fun)

>>> dict(Data(allow_missing=True))
{ 'point': 'foo' }

Tests

To run the tests use tox:

$ tox

Or run py.test manually (not recommended, needs simple_module installed):

$ py.test .

Project details


Download files

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

Source Distribution

simple_model-0.1.1.tar.gz (3.2 kB view details)

Uploaded Source

File details

Details for the file simple_model-0.1.1.tar.gz.

File metadata

File hashes

Hashes for simple_model-0.1.1.tar.gz
Algorithm Hash digest
SHA256 bea7f459a7d054a8abb73d891f679a37f3c5145544a6850fcc4cb3a9bb02f1a9
MD5 36d97af4fb91fda80a5b5a5936096e44
BLAKE2b-256 7bbbc615f9151a8c2b425793bfacd838c5a5694dbc36e2939e67a9e1b6d25949

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page