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# Objects
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2015-01-04 16:23:05 +03:00
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2015-03-30 00:46:48 +03:00
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Dependency management tool for Python projects.
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2015-03-13 00:46:31 +03:00
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2015-03-17 16:49:23 +03:00
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[![Latest Version](https://pypip.in/version/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
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[![Downloads](https://pypip.in/download/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
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2015-03-17 18:43:25 +03:00
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[![Build Status](https://travis-ci.org/rmk135/objects.svg?branch=master)](https://travis-ci.org/rmk135/objects)
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[![Coverage Status](https://coveralls.io/repos/rmk135/objects/badge.svg)](https://coveralls.io/r/rmk135/objects)
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2015-03-18 02:16:59 +03:00
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[![License](https://pypip.in/license/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
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2015-03-23 17:21:06 +03:00
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[![Supported Python versions](https://pypip.in/py_versions/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
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[![Supported Python implementations](https://pypip.in/implementation/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
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2015-01-04 17:26:33 +03:00
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2015-03-30 15:45:51 +03:00
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## Introduction
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Python ecosystem consists of a big amount of various classes, functions and
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objects that could be used for applications development. Each of them has its
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own role.
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Modern Python applications are mostly the composition of well-known open
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source systems, frameworks, libraries and some turnkey functionality.
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When application goes bigger, its amount of objects and their dependencies
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also increased extremely fast and became hard to maintain.
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`Objects` is designed to be developer's friendly tool for managing objects
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and their dependencies in formal, pretty way. Main idea of `Objects` is to
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keep dependencies under control.
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## Entities
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Current section describes main `Objects` entities and their interaction.
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### Providers
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Providers are strategies of accessing objects.
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All providers are callable. They describe how particular objects will be
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provided. For example:
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```python
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"""`NewInstance` and `Singleton` providers example."""
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from objects.providers import NewInstance
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from objects.providers import Singleton
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# NewInstance provider will create new instance of specified class
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# on every call.
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new_object = NewInstance(object)
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object_1 = new_object()
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object_2 = new_object()
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assert object_1 is not object_2
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# Singleton provider will create new instance of specified class on first call,
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# and return same instance on every next call.
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single_object = Singleton(object)
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single_object_1 = single_object()
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single_object_2 = single_object()
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assert single_object_1 is single_object_2
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```
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### Injections
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Injections are additional instructions, that are used for determining
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dependencies of objects.
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2015-03-30 16:11:33 +03:00
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Objects can take dependencies in various forms. Some objects take init
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arguments, other are using attributes or methods to be initialized. Injection,
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in terms of `Objects`, is an instruction how to provide dependency for the
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particular object.
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2015-03-31 12:37:16 +03:00
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Every Python object could be an injection's value. Special case is a `Objects`
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provider as an injection's value. In such case, injection value is a result of
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injectable provider call (every time injection is done).
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Injections are used by providers.
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```python
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"""`KwArg` and `Attribute` injections example."""
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import sqlite3
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from objects.providers import Singleton
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from objects.providers import NewInstance
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from objects.injections import KwArg
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from objects.injections import Attribute
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class ObjectA(object):
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"""ObjectA has dependency on database."""
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def __init__(self, database):
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"""Initializer.
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Database dependency need to be injected via init arg."""
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self.database = database
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def get_one(self):
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"""Select one from database and return it."""
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return self.database.execute('SELECT 1').fetchone()[0]
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# Database and `ObjectA` providers.
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database = Singleton(sqlite3.Connection,
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KwArg('database', ':memory:'),
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KwArg('timeout', 30),
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KwArg('detect_types', True),
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KwArg('isolation_level', 'EXCLUSIVE'),
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Attribute('row_factory', sqlite3.Row))
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object_a = NewInstance(ObjectA,
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KwArg('database', database))
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# Creating several `ObjectA` instances.
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object_a_1 = object_a()
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object_a_2 = object_a()
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# Making some asserts.
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assert object_a_1 is not object_a_2
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assert object_a_1.database is object_a_2.database
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assert object_a_1.get_one() == object_a_2.get_one() == 1
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```
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2015-03-31 14:44:15 +03:00
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Also injections could be used by any callable with `@inject` decorator:
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2015-03-13 00:47:10 +03:00
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2015-01-04 17:26:33 +03:00
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```python
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"""`@inject` decorator example."""
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2015-01-04 17:28:02 +03:00
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2015-03-12 01:25:12 +03:00
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from objects.providers import NewInstance
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2015-01-11 19:10:11 +03:00
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2015-03-23 02:04:18 +03:00
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from objects.injections import KwArg
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from objects.injections import inject
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2015-01-28 01:26:38 +03:00
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2015-01-23 02:42:59 +03:00
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object_a = NewInstance(object)
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object_b = NewInstance(object)
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2015-03-12 01:25:12 +03:00
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@inject(KwArg('a', object_a))
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@inject(KwArg('b', object_b))
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def example_callback(a, b):
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"""This function has dependencies on object a and b.
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2015-03-31 14:44:15 +03:00
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Dependencies are injected using `@inject` decorator.
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"""
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assert a is not b
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assert isinstance(a, object)
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assert isinstance(b, object)
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example_callback()
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```
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### Catalogs
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Catalogs are named set of providers.
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