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README.md

Python 3.5 container image

This container image includes Python 3.5 as a S2I base image for your Python 3.5 applications. Users can choose between RHEL and CentOS based builder images. The RHEL image is available in the Red Hat Container Catalog as registry.access.redhat.com/rhscl/python-35-rhel7. The CentOS image is then available on Docker Hub as centos/python-35-centos7. The resulting image can be run using Docker.

Description

Python 3.5 available as container is a base platform for building and running various Python 3.5 applications and frameworks. Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

This container image includes an npm utility, so users can use it to install JavaScript modules for their web applications. There is no guarantee for any specific npm or nodejs version, that is included in the image; those versions can be changed anytime and the nodejs itself is included just to make the npm work.

Usage

To build a simple python-sample-app application using standalone S2I and then run the resulting image with Docker execute:

  • For RHEL based image

    $ s2i build https://github.com/sclorg/s2i-python-container.git --context-dir=3.5/test/setup-test-app/ rhscl/python-35-rhel7 python-sample-app
$ docker run -p 8080:8080 python-sample-app

  • For CentOS based image

    $ s2i build https://github.com/sclorg/s2i-python-container.git --context-dir=3.5/test/setup-test-app/ centos/python-35-centos7 python-sample-app
$ docker run -p 8080:8080 python-sample-app

Accessing the application:

$ curl 127.0.0.1:8080

Environment variables

To set these environment variables, you can place them as a key value pair into a .s2i/environment file inside your source code repository.

  • APP_SCRIPT

    Used to run the application from a script file. This should be a path to a script file (defaults to app.sh unless set to null) that will be run to start the application.

  • APP_FILE

    Used to run the application from a Python script. This should be a path to a Python file (defaults to app.py unless set to null) that will be passed to the Python interpreter to start the application.

  • APP_MODULE

    Used to run the application with Gunicorn, as documented here. This variable specifies a WSGI callable with the pattern MODULE_NAME:VARIABLE_NAME, where MODULE_NAME is the full dotted path of a module, and VARIABLE_NAME refers to a WSGI callable inside the specified module. Gunicorn will look for a WSGI callable named application if not specified.

    If APP_MODULE is not provided, the run script will look for a wsgi.py file in your project and use it if it exists.

    If using setup.py for installing the application, the MODULE_NAME part can be read from there. For an example, see setup-test-app.

  • APP_HOME

    This variable can be used to specify a sub-directory in which the application to be run is contained. The directory pointed to by this variable needs to contain wsgi.py (for Gunicorn) or manage.py (for Django).

    If APP_HOME is not provided, the assemble and run scripts will use the application's root directory.

  • APP_CONFIG

    Path to a valid Python file with a Gunicorn configuration file.

  • DISABLE_MIGRATE

    Set this variable to a non-empty value to inhibit the execution of 'manage.py migrate' when the produced image is run. This only affects Django projects. See "Handling Database Migrations" section of Django blogpost on OpenShift blog on suggestions how/when to run DB migrations in OpenShift environment. Most importantly, note that running DB migrations from two or more pods might corrupt your database.

  • DISABLE_COLLECTSTATIC

    Set this variable to a non-empty value to inhibit the execution of 'manage.py collectstatic' during the build. This only affects Django projects.

  • DISABLE_SETUP_PY_PROCESSING

    Set this to a non-empty value to skip processing of setup.py script if you use -e . in requirements.txt to trigger its processing or you don't want your application to be installed into site-packages directory.

  • ENABLE_PIPENV

    Set this variable to use Pipenv, the higher-level Python packaging tool, to manage dependencies of the application. This should be used only if your project contains properly formated Pipfile and Pipfile.lock. (Implies UPGRADE_PIP_TO_LATEST to satisfy dependencies of Pipenv.)

  • PIP_INDEX_URL

    Set this variable to use a custom index URL or mirror to download required packages during build process. This only affects packages listed in requirements.txt. Pipenv ignores this variable.

  • UPGRADE_PIP_TO_LATEST

    Set this variable to a non-empty value to have the 'pip' program and related python packages (setuptools and wheel) be upgraded to the most recent version before any Python packages are installed. If not set it will use whatever the default version is included by the platform for the Python version being used.

  • WEB_CONCURRENCY

    Set this to change the default setting for the number of workers. By default, this is set to the number of available cores times 2, capped at 12.

Source repository layout

You do not need to change anything in your existing Python project's repository. However, if these files exist they will affect the behavior of the build process:

  • requirements.txt

    List of dependencies to be installed with pip. The format is documented here.

  • Pipfile

    The replacement for requirements.txt, project is currently under active design and development, as documented here. Set ENABLE_PIPENV environment variable to true in order to process this file.

  • setup.py

    Configures various aspects of the project, including installation of dependencies, as documented here. For most projects, it is sufficient to simply use requirements.txt or Pipfile. Set DISABLE_SETUP_PY_PROCESSING environment variable to true in order to skip processing of this file.

Run strategies

The container image produced by s2i-python executes your project in one of the following ways, in precedence order:

  • Gunicorn

    The Gunicorn WSGI HTTP server is used to serve your application in the case that it is installed. It can be installed by listing it either in the requirements.txt file or in the install_requires section of the setup.py file.

    If a file named wsgi.py is present in your repository, it will be used as the entry point to your application. This can be overridden with the environment variable APP_MODULE. This file is present in Django projects by default.

    If you have both Django and Gunicorn in your requirements, your Django project will automatically be served using Gunicorn.

  • Django development server

    If you have Django in your requirements but don't have Gunicorn, then your application will be served using Django's development web server. However, this is not recommended for production environments.

  • Python script

    This would be used where you provide a Python code file for running you application. It will be used in the case where you specify a path to a Python script via the APP_FILE environment variable, defaulting to a file named app.py if it exists. The script is passed to a regular Python interpreter to launch your application.

  • Application script file

    This is the most general way of executing your application. It will be used in the case where you specify a path to an executable script file via the APP_SCRIPT environment variable, defaulting to a file named app.sh if it exists. The script is executed directly to launch your application.

Hot deploy

If you are using Django, hot deploy will work out of the box.

To enable hot deploy while using Gunicorn, make sure you have a Gunicorn configuration file inside your repository with the reload option set to true. Make sure to specify your config via the APP_CONFIG environment variable.

To change your source code in running container, use Docker's exec command:

docker exec -it <CONTAINER_ID> /bin/bash

After you enter into the running container, your current directory is set to /opt/app-root/src, where the source code is located.

See also

Dockerfile and other sources are available on https://github.com/sclorg/s2i-python-container. In that repository you also can find another versions of Python environment Dockerfiles. Dockerfile for CentOS is called Dockerfile, Dockerfile for RHEL is called Dockerfile.rhel7.