Create multiple containers page

docs/examples/application-multiple-containers.rst

@@ -0,0 +1,87 @@
+.. _application-multiple-containers:
+
+Application example (multiple containers)
+=========================================
+
+.. meta::
+   :keywords: Python,Dependency Injection,Inversion of Control,Container,Example,Application,
+              Framework,AWS,boto3,client
+   :description: This example shows how you can create an application using multiple declarative
+                 containers. We build an example Python micro application following the dependency
+                 injection principle. It consists from several services with a domain logic that
+                 have dependencies on database & AWS S3.
+
+This example shows how you can create an application using multiple declarative containers. Using
+multiple declarative containers is a good choice for a large application. For
+building a moderate or a small size application refer to :ref:`application-single-container`.
+
+We build an example micro application following the dependency injection principle. It consists
+of several services with a domain logic. The services have dependencies on database & AWS S3.
+
+.. image:: images/application.png
+    :width: 100%
+    :align: center
+
+Start from the scratch or jump to the section:
+
+.. contents::
+   :local:
+   :backlinks: none
+
+You can find the source code and instructions for running on the `Github <https://github.com/ets-labs/python-dependency-injector/tree/master/examples/miniapps/application-multiple-containers>`_.
+
+Application structure
+---------------------
+
+Application consists of an ``example`` package, a configuration file and a ``requirements.txt``
+file.
+
+.. code-block:: bash
+
+   ./
+   ├── example/
+   │   ├── __init__.py
+   │   ├── __main__.py
+   │   ├── containers.py
+   │   └── services.py
+   ├── config.yml
+   └── requirements.txt
+
+Containers
+----------
+
+Listing of the ``example/containers.py``:
+
+.. literalinclude:: ../../examples/miniapps/application-multiple-containers/example/containers.py
+   :language: python
+
+Main module
+-----------
+
+Listing of the ``example/__main__.py``:
+
+.. literalinclude:: ../../examples/miniapps/application-multiple-containers/example/__main__.py
+   :language: python
+
+Services
+--------
+
+Listing of the ``example/services.py``:
+
+.. literalinclude:: ../../examples/miniapps/application-multiple-containers/example/services.py
+   :language: python
+
+Configuration
+-------------
+
+Listing of the ``config.yml``:
+
+.. literalinclude:: ../../examples/miniapps/application-multiple-containers/config.yml
+   :language: yaml
+
+Run the application
+-------------------
+
+You can find the source code and instructions for running on the `Github <https://github.com/ets-labs/python-dependency-injector/tree/master/examples/miniapps/application-multiple-containers>`_.
+
+.. disqus::

docs/examples/application-single-container.rst

@@ -0,0 +1,93 @@
+.. _application-single-container:
+
+Application example (single container)
+======================================
+
+.. meta::
+   :keywords: Python,Dependency Injection,Inversion of Control,Container,Example,Application,
+              Framework,AWS,boto3,client
+   :description: This example shows how you can create an application using a single declarative
+                 container. We build an example Python micro application following the dependency
+                 injection principle. It consists from several services with a domain logic that
+                 have dependencies on database & AWS S3.
+
+This example shows how you can create an application using a single declarative container. Using
+a single declarative container is a good choice for small or moderate size application. For
+building a large application refer to :ref:`application-multiple-containers`.
+
+We build an example micro application following the dependency injection principle. It consists
+of several services with a domain logic. The services have dependencies on database & AWS S3.
+
+.. image:: images/application.png
+    :width: 100%
+    :align: center
+
+Start from the scratch or jump to the section:
+
+.. contents::
+   :local:
+   :backlinks: none
+
+You can find the source code and instructions for running on the `Github <https://github.com/ets-labs/python-dependency-injector/tree/master/examples/miniapps/application-single-container>`_.
+
+Application structure
+---------------------
+
+Application consists of an ``example`` package, several configuration files and a
+``requirements.txt`` file.
+
+.. code-block:: bash
+
+   ./
+   ├── example/
+   │   ├── __init__.py
+   │   ├── __main__.py
+   │   ├── containers.py
+   │   └── services.py
+   ├── config.ini
+   ├── logging.ini
+   └── requirements.txt
+
+Container
+---------
+
+Listing of the ``example/containers.py``:
+
+.. literalinclude:: ../../examples/miniapps/application-single-container/example/containers.py
+   :language: python
+
+Main module
+-----------
+
+Listing of the ``example/__main__.py``:
+
+.. literalinclude:: ../../examples/miniapps/application-single-container/example/__main__.py
+   :language: python
+
+Services
+--------
+
+Listing of the ``example/services.py``:
+
+.. literalinclude:: ../../examples/miniapps/application-single-container/example/services.py
+   :language: python
+
+Configuration
+-------------
+
+Listing of the ``config.ini``:
+
+.. literalinclude:: ../../examples/miniapps/application-single-container/config.ini
+   :language: ini
+
+Listing of the ``logging.ini``:
+
+.. literalinclude:: ../../examples/miniapps/application-single-container/logging.ini
+   :language: ini
+
+Run the application
+-------------------
+
+You can find the source code and instructions for running on the `Github <https://github.com/ets-labs/python-dependency-injector/tree/master/examples/miniapps/application-single-container>`_.
+
+.. disqus::

docs/examples/index.rst

@@ -10,5 +10,7 @@ Explore the examples to see the ``Dependency Injector`` in action.
 ..  toctree::
     :maxdepth: 2
 
-    services-single-container
-    services-multiple-containers
+    application-single-container
+    application-multiple-containers
+
+.. disqus::

docs/examples/services-multiple-containers.rst

@@ -1,73 +0,0 @@
-Services mini application example (multiple containers)
-=======================================================
-
-.. meta::
-   :description: "Services miniapp" is an example mini application that 
-                 consists from several services that have dependencies on 
-                 some standard and 3rd-party libraries for logging, 
-                 interaction with database and remote service via API. 
-                 "Services miniapp" example demonstrates usage of 
-                 Dependency Injector for creating inversion of control /
-                 dependency injection container.
-
-"Services miniapp" is an example mini application that consists from several 
-services that have dependencies on some standard and 3rd-party libraries for 
-logging, interaction with database and remote service calls via API.
-
-"Services miniapp" example demonstrates usage of 
-:doc:`Dependency Injector <../index>` for creating IoC container.
-
-Instructions for running:
-
-.. code-block:: bash
-
-    python run.py 1 secret photo.jpg
-
-Example application
-~~~~~~~~~~~~~~~~~~~
-
-Classes diagram:
-
-.. image:: /images/miniapps/services/classes.png
-    :width: 100%
-    :align: center
-
-
-Example application structure:
-
-.. code-block:: bash
-
-    /example
-        /__init__.py
-        /main.py
-        /services.py
-
-
-Listing of ``example/services.py``:
-
-.. literalinclude:: ../../examples/miniapps/services_v2/example/services.py
-   :language: python
-
-Listing of ``example/main.py``:
-
-.. literalinclude:: ../../examples/miniapps/services_v2/example/main.py
-   :language: python
-
-IoC container
-~~~~~~~~~~~~~
-
-Listing of ``container.py``:
-
-.. literalinclude:: ../../examples/miniapps/services_v2/container.py
-   :language: python
-
-Run application
-~~~~~~~~~~~~~~~
-
-Listing of ``run.py``:
-
-.. literalinclude:: ../../examples/miniapps/services_v2/run.py
-   :language: python
-
-
-.. disqus::

docs/examples/services-single-container.rst

@@ -1,82 +0,0 @@
-Services mini application example (single container)
-====================================================
-
-.. meta::
-   :description: "Services miniapp" is an example mini application that 
-                 consists from several services that have dependencies on 
-                 some standard and 3rd-party libraries for logging, 
-                 interaction with database and remote service via API. 
-                 "Services miniapp" example demonstrates usage of 
-                 Dependency Injector for creating several inversion of control /
-                 dependency injection containers.
-
-"Services" is an example mini application. It consists from several services that have
-dependencies on database & AWS S3.
-
-.. image:: images/services-miniapp.png
-    :width: 100%
-    :align: center
-
-Start from the scratch or jump to the section:
-
-.. contents::
-   :local:
-   :backlinks: none
-
-Application structure
----------------------
-
-Application consists from ``example`` package, several configuration files and ``requirements.txt``.
-
-.. code-block:: bash
-
-   ./
-   ├── example/
-   │   ├── __init__.py
-   │   ├── __main__.py
-   │   ├── containers.py
-   │   └── services.py
-   ├── config.ini
-   ├── logging.ini
-   └── requirements.txt
-
-Container
----------
-
-Listing of ``example/containers.py``:
-
-.. literalinclude:: ../../examples/miniapps/services-single-container/example/containers.py
-   :language: python
-
-Listing of ``example/__main__.py``:
-
-.. literalinclude:: ../../examples/miniapps/services-single-container/example/__main__.py
-   :language: python
-
-Services
---------
-
-Listing of ``example/services.py``:
-
-.. literalinclude:: ../../examples/miniapps/services-single-container/example/services.py
-   :language: python
-
-Configuration
--------------
-
-Listing of ``config.ini``:
-
-.. literalinclude:: ../../examples/miniapps/services-single-container/config.ini
-   :language: ini
-
-Listing of ``logging.ini``:
-
-.. literalinclude:: ../../examples/miniapps/services-single-container/logging.ini
-   :language: ini
-
-Sources on Github
------------------
-
-To find the source code navigate to the `Github <https://github.com/ets-labs/python-dependency-injector/tree/master/examples/miniapps/services-single-container>`_.
-
-.. disqus::

docs/index.rst

@@ -129,9 +129,8 @@ Contents
     :maxdepth: 2
 
     introduction/index
-    main/installation
-    tutorials/index
     examples/index
+    tutorials/index
     providers/index
     containers/index
     examples-other/index

docs/introduction/di_in_python.rst

@@ -3,90 +3,90 @@ Dependency injection and inversion of control in Python
 
 .. meta::
    :keywords: Python,DI,Dependency injection,IoC,Inversion of Control
-   :description: This article describes benefits of dependency injection and 
-                 inversion of control for Python applications. Also it 
-                 contains some Python examples that show how dependency 
-                 injection and inversion could be implemented. In addition, it 
-                 demonstrates usage of dependency injection framework, 
+   :description: This article describes benefits of dependency injection and
+                 inversion of control for Python applications. Also it
+                 contains some Python examples that show how dependency
+                 injection and inversion could be implemented. In addition, it
+                 demonstrates usage of dependency injection framework,
                  IoC container and such popular design pattern as Factory.
 
 History
 ~~~~~~~
 
-Originally, dependency injection pattern got popular in languages with static 
-typing, like Java. Dependency injection framework can 
+Originally, dependency injection pattern got popular in languages with static
+typing, like Java. Dependency injection framework can
 significantly improve flexibility of the language with static typing. Also,
-implementation of dependency injection framework for language with static 
-typing is not something that one can do shortly, it could be quite complex 
+implementation of dependency injection framework for language with static
+typing is not something that one can do shortly, it could be quite complex
 thing to be done well.
 
-While Python is very flexible interpreted language with dynamic typing, there 
-is a meaning that dependency injection doesn't work for it as well, as it does 
-for Java. Also there is a meaning that dependency injection framework is 
+While Python is very flexible interpreted language with dynamic typing, there
+is a meaning that dependency injection doesn't work for it as well, as it does
+for Java. Also there is a meaning that dependency injection framework is
 something that Python developer would not ever need, cause dependency injection
 could be implemented easily using language fundamentals.
 
 Discussion
 ~~~~~~~~~~
 
-It is true. 
+It is true.
 
 Partly.
 
-Dependency injection, as a software design pattern, has number of 
+Dependency injection, as a software design pattern, has number of
 advantages that are common for each language (including Python):
 
 + Dependency Injection decreases coupling between a class and its dependency.
-+ Because dependency injection doesn't require any change in code behavior it 
-  can be applied to legacy code as a refactoring. The result is clients that 
-  are more independent and that are easier to unit test in isolation using 
-  stubs or mock objects that simulate other objects not under test. This ease 
-  of testing is often the first benefit noticed when using dependency 
++ Because dependency injection doesn't require any change in code behavior it
+  can be applied to legacy code as a refactoring. The result is clients that
+  are more independent and that are easier to unit test in isolation using
+  stubs or mock objects that simulate other objects not under test. This ease
+  of testing is often the first benefit noticed when using dependency
   injection.
-+ Dependency injection can be used to externalize a system's configuration 
-  details into configuration files allowing the system to be reconfigured 
-  without recompilation (rebuilding). Separate configurations can be written 
-  for different situations that require different implementations of 
++ Dependency injection can be used to externalize a system's configuration
+  details into configuration files allowing the system to be reconfigured
+  without recompilation (rebuilding). Separate configurations can be written
+  for different situations that require different implementations of
   components. This includes, but is not limited to, testing.
-+ Reduction of boilerplate code in the application objects since all work to 
++ Reduction of boilerplate code in the application objects since all work to
   initialize or set up dependencies is handled by a provider component.
-+ Dependency injection allows a client to remove all knowledge of a concrete 
-  implementation that it needs to use. This helps isolate the client from the 
-  impact of design changes and defects. It promotes reusability, testability 
++ Dependency injection allows a client to remove all knowledge of a concrete
+  implementation that it needs to use. This helps isolate the client from the
+  impact of design changes and defects. It promotes reusability, testability
   and maintainability.
-+ Dependency injection allows a client the flexibility of being configurable. 
-  Only the client's behavior is fixed. The client may act on anything that 
++ Dependency injection allows a client the flexibility of being configurable.
+  Only the client's behavior is fixed. The client may act on anything that
   supports the intrinsic interface the client expects.
 
 .. note::
 
-    While improved testability is one the first benefits of using dependency 
-    injection, it could be easily overwhelmed by monkey-patching technique, 
-    that works absolutely great in Python (you can monkey-patch anything, 
-    anytime).  At the same time, monkey-patching has nothing similar with 
-    other advantages defined above. Also monkey-patching technique is 
+    While improved testability is one the first benefits of using dependency
+    injection, it could be easily overwhelmed by monkey-patching technique,
+    that works absolutely great in Python (you can monkey-patch anything,
+    anytime).  At the same time, monkey-patching has nothing similar with
+    other advantages defined above. Also monkey-patching technique is
     something that could be considered like too dirty to be used in production.
 
-The complexity of dependency injection pattern implementation in Python is 
-definitely quite lower than in other languages (even with dynamic typing). 
+The complexity of dependency injection pattern implementation in Python is
+definitely quite lower than in other languages (even with dynamic typing).
 
-.. note:: 
+.. note::
 
-    Low complexity of dependency injection pattern implementation in Python 
-    still means that some code should be written, reviewed, tested and 
+    Low complexity of dependency injection pattern implementation in Python
+    still means that some code should be written, reviewed, tested and
     supported.
 
-Talking about inversion of control, it is a software design principle that 
+Talking about inversion of control, it is a software design principle that
 also works for each programming language, not depending on its typing type.
 
-Inversion of control is used to increase modularity of the program and make 
+Inversion of control is used to increase modularity of the program and make
 it extensible.
 
 Main design purposes of using inversion of control are:
 
 + To decouple the execution of a task from implementation.
 + To focus a module on the task it is designed for.
-+ To free modules from assumptions about how other systems do what they do and 
++ To free modules from assumptions about how other systems do what they do and
   instead rely on contracts.
 + To prevent side effects when replacing a module.
 
@@ -115,9 +115,9 @@ Next example demonstrates creation of several cars with different engines:
    :language: python
 
 While previous example demonstrates advantages of dependency injection, there
-is a disadvantage demonstration as well - creation of car requires additional 
-code for specification of dependencies. Nevertheless, this disadvantage could 
-be easily avoided by using a dependency injection framework for creation of 
+is a disadvantage demonstration as well - creation of car requires additional
+code for specification of dependencies. Nevertheless, this disadvantage could
+be easily avoided by using a dependency injection framework for creation of
 inversion of control container (IoC container).
 
 Example of creation of several inversion of control containers (IoC containers)
@@ -131,18 +131,21 @@ What's next?
 
 Choose one of the following as a next step:
 
-+ Pass one of the dependency injection tutorials:
-    + :ref:`flask-tutorial`
-    + :ref:`aiohttp-tutorial`
-    + :ref:`asyncio-daemon-tutorial`
-    + :ref:`cli-tutorial`
-+ Know more about the :ref:`providers`
-+ Go to the :ref:`contents`
+- Look at application examples:
+    - :ref:`application-single-container`
+    - :ref:`application-multiple-containers`
+- Pass the tutorials:
+    - :ref:`flask-tutorial`
+    - :ref:`aiohttp-tutorial`
+    - :ref:`asyncio-daemon-tutorial`
+    - :ref:`cli-tutorial`
+- Know more about the :ref:`providers`
+- Go to the :ref:`contents`
 
 Useful links
 ~~~~~~~~~~~~
 
-There are some useful links related to dependency injection design pattern 
+There are some useful links related to dependency injection design pattern
 that could be used for further reading:
 
 + https://en.wikipedia.org/wiki/Dependency_injection

docs/introduction/index.rst

@@ -17,3 +17,4 @@ dependency injection pattern, inversion of control principle and
     what_is_di
     di_in_python
     key_features
+    installation

docs/introduction/installation.rst

@@ -31,7 +31,7 @@ Verification of currently installed version could be done using
 
     >>> import dependency_injector
     >>> dependency_injector.__version__
-    '3.15.2'
+    '3.38.0'
 
 .. _PyPi: https://pypi.org/project/dependency-injector/
 .. _GitHub: https://github.com/ets-labs/python-dependency-injector

docs/introduction/what_is_di.rst

@@ -175,13 +175,16 @@ What's next?
 
 Choose one of the following as a next step:
 
-+ Pass one of the tutorials:
-    + :ref:`cli-tutorial`
-    + :ref:`flask-tutorial`
-    + :ref:`aiohttp-tutorial`
-    + :ref:`asyncio-daemon-tutorial`
-+ Know more about the :ref:`providers`
-+ Go to the :ref:`contents`
+- Look at application examples:
+    - :ref:`application-single-container`
+    - :ref:`application-multiple-containers`
+- Pass the tutorials:
+    - :ref:`flask-tutorial`
+    - :ref:`aiohttp-tutorial`
+    - :ref:`asyncio-daemon-tutorial`
+    - :ref:`cli-tutorial`
+- Know more about the :ref:`providers`
+- Go to the :ref:`contents`
 
 .. disqus::
 

examples/miniapps/application-multiple-containers/README.rst

@@ -1,5 +1,5 @@
-Services mini application example (multiple containers)
-=======================================================
+Application example (multiple containers)
+=========================================
 
 Create virtual env:
 

examples/miniapps/application-single-container/README.rst

@@ -1,5 +1,5 @@
-Services mini application example (single container)
-====================================================
+Application example (single container)
+======================================
 
 Create virtual env: