Related is a Python library for creating nested object models
that can be serialized to and de-serialized from
nested python dictionaries.
When paired with other libraries (e.g. PyYAML),
Related object models can be used to convert to and from
nested data formats (e.g. JSON, YAML).

Example use cases for related object models include:

• Configuration file reading and writing
• REST API message response generation and request processing
• Object-Document Mapping for a document store (e.g. MongoDB, elasticsearch)
• Data import parsing or export generation

Requirements

• Python (2.7, 3.5, 3.6)

Installation

Install using pip...

pip install related

First Example

import related

@related.immutable
class Person(object):
    first_name = related.StringField()
    last_name = related.StringField()

@related.immutable
class RoleModels(object):
    scientists = related.SetField(Person)

people = [Person(first_name="Grace", last_name="Hopper"),
          Person(first_name="Katherine", last_name="Johnson"),
          Person(first_name="Katherine", last_name="Johnson")]

print(related.to_yaml(RoleModels(scientists=people)))

Yields:

scientists:
- first_name: Grace
  last_name: Hopper
- first_name: Katherine
  last_name: Johnson

Second Example

The below example is based off of this Docker Compose example.
It shows how a YAML file can be loaded into an object model, tested, and
then generated back into a string that matches the original YAML.

version: '2'
services:
  web:
    build: .
    ports:
    - 5000:5000
    volumes:
    - .:/code
  redis:
    image: redis

Below is the related object model that represents the above configuration.
Notice how the name-based mapping of services (i.e. web, redis) are
represented by the model.

import related


@related.immutable
class Service(object):
    name = related.StringField()
    image = related.StringField(required=False)
    build = related.StringField(required=False)
    ports = related.SequenceField(str, required=False)
    volumes = related.SequenceField(str, required=False)
    command = related.StringField(required=False)


@related.immutable
class Compose(object):
    version = related.StringField(required=False, default=None)
    services = related.MappingField(Service, "name", required=False)

The above yaml can then be loaded by using one of the convenience
method and then round-tripped back to yaml to check that the format
has been maintained. The related module uses OrderedDict objects
in order to maintain sort order by default.

from os.path import join, dirname

from model import Compose
from related import to_yaml, from_yaml, to_model

YML_FILE = join(dirname(__file__), "docker-compose.yml")


def test_compose_from_yml():
    original_yaml = open(YML_FILE).read().strip()
    yml_dict = from_yaml(original_yaml)
    compose = to_model(Compose, yml_dict)

    assert compose.version == '2'
    assert compose.services['web'].ports == ["5000:5000"]
    assert compose.services['redis'].image == "redis"

    generated_yaml = to_yaml(compose,
                             suppress_empty_values=True,
                             suppress_map_key_values=True).strip()

    assert original_yaml == generated_yaml

More Examples

More examples can be found by reviewing the tests/ folder of this project.
Below are links and descriptions of the tests provided so far., Example, description, --------------, ------------------------------------------------------------------, Example 00, First example above that shows how SetFields work., Example 01, Second example above that demonstrates YAML (de)serialization., Example 02, Compose v3 with long-form ports and singledispatch to_dict, Example 03, A single class (Company) with a bunch of value fields., Example 04, A multi-class object model with Enum class value field., Example 05, Handling of renaming of attributes including Python keywords., Example 06, Basic JSON (de)serialization with TimeField, DateTimeField and DecimalField., Example 07, Function decorator that converts inputs to obj and outputs to dict, Example 08, Handle self-referencing and out-of-order references using strings., # Documentation

Below is a quick version of documentation until more time can be dedicated.

Overview

The attrs library is the underlying engine for related.
As explained in this article by Glyph,
attrs cleanly and cleverly
eliminates a lot of the boilerplate
required when creating Python classes
without using inheritance.
Some core functionality provided by attrs:

• Generated initializer method
  (__init__)
• Generated comparison methods
  (__eq__, __ne__, __lt__, __le__, __gt__, __ge__ )
• Human-readable representation method
  (__repr__)
• Attribute converter and validator framework

The related project is an opinionated layer
built on top of the attrs library
that provides the following:

• Value fields that handle both validation and conversion
  to and from basic data types like
  str, float, and bool.
• Nested fields that support relationships such as
  Child, Sequences, Mappings, and Sets of objects.
• to_dict function that converts nested object graphs
  to python dictionaries.
  Made customizable (without resorting to monkey-patching)
  by the singledispatch library.
• to_model function that instantiated classes
  used by the de-serialization process going from
  python dictionaries to the related model.
• Conversion helper functions
  (to_yaml, from_yaml, to_json, from_json)
  for easily going between
  related models and data formats.
• @mutable and @immutable for decorating classes
  as related models without the need for inheritance increasing
  maintainability and flexibility.

Class Decorators, decorator, description, --------------, ----------------------------------------------------------------, @mutable, Activate a related class that instantiates changeable objects., @immutable, Activate a related class that instantiates unchangeable objects., See the decorators.py file to view the source code until proper

documentation is generated.

Field Types, field type, description, --------------, ----------------------------------------------------------------, BooleanField, bool value field., ChildField, Child object of a specified type cls., DateField, date field formatted using formatter., DateTimeField, datetime field formatted using formatter., TimeField, time field formatted using formatter., FloatField, float value field., IntegerField, int value field., MappingField(cls,key), Dictionary of objects of type cls index by key field values., RegexField(regex), str value field that is validated by re.match(regex)., SequenceField(cls), List of objects all of specified type cls., SetField, Set of objects all of a specified type cls., StringField, str value field., URLField, ParseResult object., UUIDField, UUID object, will create uuid4 by default if not specified., Adding your own field types is fairly straightforward

due to the power of the underlying attrs project.
See the fields.py file to see how the above are constructed.

Functions, function, description, -------------------, -----------------------------------------------------, from_json(s,cls), Convert a JSON string or stream into specified class., from_yaml(s,cls), Convert a YAML string or stream into specified class., is_related(obj), Returns True if object is @mutable or @immutable., to_dict(obj), Singledispatch function for converting to a dict., to_json(obj), Convert object to a (pretty) JSON string via to_dict., to_model(cls,value), Convert a value to a cls instance., to_yaml(obj), Convert object to a YAML string via to_dict., See the functions.py file to view the source code until proper

documentation is generated.

Credits/Prior Art

The related project has been heavily influenced by the following
projects that might be worth looking at if related doesn't meet your needs.

• attrs - The engine that powers related functionality.
• Django ORM - Object-relational mapping for Django that inspired related's design.
• cattrs - Alternative take for handling nested-objects using attrs.
• addict and box - Python dictionary wrappers that do not require a model.
• Jackson - Java-based technology for serializing and de-serializing objects.

License

The MIT License (MIT)
Copyright (c) 2017 Ian Maurer, Genomoncology LLC