Python for OpenShift - Docker images

This repository contains sources of the images for building various versions of Python applications as reproducible Docker images using source-to-image. User can choose between RHEL and CentOS based builder images. The resulting image can be run using Docker.

Versions

Python versions currently provided are:

python-3.3

RHEL versions currently supported are:

RHEL7

CentOS versions currently supported are:

CentOS7

Installation

To build Python image, choose between CentOS or RHEL based image:

RHEL based image

To build a rhel-based python-3.3 image, you need to run the build on a properly subscribed RHEL machine.
```
$ git clone https://github.com/openshift/sti-python.git
$ cd sti-python
$ make build TARGET=rhel7 VERSION=3.3
```

CentOS based image

This image is available on DockerHub. To download it use:

$ docker pull openshift/python-33-centos7

To build Python image from scratch use:

$ git clone https://github.com/openshift/sti-python.git
$ cd sti-python
$ make build VERSION=3.3

Notice: By omitting the VERSION parameter, the build/test action will be performed on all provided versions of Python. Since we are now providing only version 3.3, you can omit this parameter.

Usage

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

For RHEL based image

$ sti build https://github.com/openshift/sti-python.git --context-dir=3.3/test/setup-test-app/ openshift/python-33-rhel7 python-sample-app
$ docker run -p 8080:8080 python-sample-app

For CentOS based image

$ sti build https://github.com/openshift/sti-python.git --context-dir=3.3/test/setup-test-app/ openshift/python-33-centos7 python-sample-app
$ docker run -p 8080:8080 python-sample-app

Accessing the application:

$ curl 127.0.0.1:8080

Test

This repository also provides STI test framework, which launches tests to check functionality of a simple python application built on top of sti-python image.

User can choose between testing python test application based on RHEL or CentOS image.

RHEL based image

To test a rhel7-based python-3.3 image, you need to run the test on a properly subscribed RHEL machine.
```
$ cd sti-python
$ make test TARGET=rhel7 VERSION=3.3
```

CentOS based image

$ cd sti-python
$ make test VERSION=3.3

Notice: By omitting the VERSION parameter, the build/test action will be performed on all provided versions of Python. Since we are now providing only version 3.3 you can omit this parameter.

Repository organization

<python-version>
- Dockerfile
  
  CentOS based Dockerfile.
- Dockerfile.rhel7
  
  RHEL based Dockerfile. In order to perform build or test actions on this Dockerfile you need to run the action on a properly subscribed RHEL machine.
- .sti/bin/
  
  This folder contains scripts that are run by STI:
  - assemble
    
    Is used to install the sources into location from where the application will be run and prepare the application for deployment (eg. installing dependencies, etc.)
  - run
    
    This script is responsible for running the application, by using the application web server.
  - usage*
    
    This script prints the usage of this image.
- contrib/
  
  This folder contains file with commonly used modules.
- test/
  
  This folder is containing STI test framework with simple server.
  - setup-test-app/
    
    Simple gunicorn application used for testing purposes in the STI test framework.
  - standalone-test-app/
    
    Simple standalone application used for testing purposes in the STI test framework.
  - run
    
    Script that runs the STI test framework.
hack/

Folder contains scripts which are responsible for build and test actions performed by the Makefile.

Image name structure

Structure: openshift/1-2-3

Platform name - python
Platform version(without dots)
Base builder image - centos7/rhel7

Examples: openshift/python-33-centos7, openshift/python-33-rhel7

Environment variables

To set these environment variables, you can place them into .sti/environment file inside your source code repository.

APP_FILE

Used to run the application from a Python script. This should be a path to a Python file (defaults to app.py) 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 a 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 example, see setup-test-app.
APP_CONFIG

Path to a valid Python file with gunicorn configuration.
DISABLE_COLLECTSTATIC

Set it to a nonempty value to inhibit the execution of 'manage.py collectstatic' during the build. Only affects Django projects.
DISABLE_MIGRATE

Set it to a nonempty value to inhibit the execution of 'manage.py migrate' when the produced image is run. Only affects Django projects.

Source repository layout

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

requirements.txt

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

Configuration of various aspects of the project, including installation dependencies, as documented here. For most projects, it is sufficient to use requirements.txt.

Run strategies

The Docker image produced by sti-python executes your project in one of these ways, in precedence order:

Gunicorn

The Gunicorn WSGI HTTP server is used to serve your application in case 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 be automatically served with Gunicorn.
Django development server

If you have Django in your requirements, but don't have Gunicorn, then your application will be served with Django's development web server. This is not, however, a recommended way to serve your application in production.
Python script

This is the most general way of executing your application. It will be used in case 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.

brenton / sti-python