python-dependency-injector/README.md

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# Objects
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Dependency management tool for Python projects.
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[![Latest Version](https://pypip.in/version/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
[![Downloads](https://pypip.in/download/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
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[![Build Status](https://travis-ci.org/rmk135/objects.svg?branch=master)](https://travis-ci.org/rmk135/objects)
[![Coverage Status](https://coveralls.io/repos/rmk135/objects/badge.svg)](https://coveralls.io/r/rmk135/objects)
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[![License](https://pypip.in/license/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
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[![Supported Python versions](https://pypip.in/py_versions/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
[![Supported Python implementations](https://pypip.in/implementation/Objects/badge.svg)](https://pypi.python.org/pypi/Objects/)
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## Introduction
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Python ecosystem consists of a big amount of various classes, functions and
objects that could be used for applications development. Each of them has its
own role.
Modern Python applications are mostly the composition of well-known open
source systems, frameworks, libraries and some turnkey functionality.
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When application goes bigger, its amount of objects and their dependencies
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
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.
### Providers
Providers are strategies of accessing objects.
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They describe how particular object need to be provided. For example:
```python
from objects.providers import NewInstance
from objects.providers import Singleton
# NewInstance provider will create new instance of specified class on every call.
new_object = NewInstance(object)
object_1 = new_object()
object_2 = new_object()
assert object_1 is not object_2
# Singleton provider will create new instance of specified class on first call, and return same instance on every next call.
single_object = Singleton(object)
single_object_1 = single_object()
single_object_2 = single_object()
assert single_object_1 is single_object_2
```
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### Injections
Injections are additional instructions, that are used for determining
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dependencies of objects.
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### Catalogs
Catalogs are named set of providers.
## Example
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```python
"""Concept example of `Objects`."""
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from objects.catalog import AbstractCatalog
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from objects.providers import Singleton
from objects.providers import NewInstance
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from objects.injections import KwArg
from objects.injections import Attribute
from objects.injections import inject
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import sqlite3
class ObjectA(object):
"""Example class ObjectA, that has dependency on database."""
def __init__(self, db):
"""Initializer."""
self.db = db
class ObjectB(object):
"""Example class ObjectB, that has dependencies on ObjectA and database."""
def __init__(self, a, db):
"""Initializer."""
self.a = a
self.db = db
class Catalog(AbstractCatalog):
"""Catalog of objects providers."""
database = Singleton(sqlite3.Connection,
KwArg('database', ':memory:'),
Attribute('row_factory', sqlite3.Row))
""":type: (objects.Provider) -> sqlite3.Connection"""
object_a = NewInstance(ObjectA,
KwArg('db', database))
""":type: (objects.Provider) -> ObjectA"""
object_b = NewInstance(ObjectB,
KwArg('a', object_a),
KwArg('db', database))
""":type: (objects.Provider) -> ObjectB"""
# Catalog static provides.
a1, a2 = Catalog.object_a(), Catalog.object_a()
b1, b2 = Catalog.object_b(), Catalog.object_b()
assert a1 is not a2
assert b1 is not b2
assert a1.db is a2.db is b1.db is b2.db is Catalog.database()
# Example of inline injections.
@inject(KwArg('a', Catalog.object_a))
@inject(KwArg('b', Catalog.object_b))
@inject(KwArg('database', Catalog.database))
def example(a, b, database):
assert a.db is b.db is database is Catalog.database()
example()
```