Language Guide: Python

This document describes the .circleci/config.yml file for a sample application written in Python.

Demo Python Django Reference Project

We maintain a reference Python Django project to show how to build Django on CircleCI 2.0:

In the project you will find a commented CircleCI configuration file .circleci/config.yml. This file shows best practice for using CircleCI 2.0 with Python projects.

Refer to the Project Walkthrough for a sample Flask application:

Pre-Built CircleCI Docker Images

We recommend using a CircleCI pre-built image that comes pre-installed with tools that are useful in a CI environment. You can select the Python version you need from Docker Hub: The demo project uses an official CircleCI image.

Database images for use as a secondary ‘service’ container are also available on Docker Hub in the circleci directory.

Build the Demo Django Project

A good way to start using CircleCI is to build a project yourself. Here’s how to build the demo project with your own account:

  1. Fork the project on GitHub to your own account.
  2. Go to the Add Projects page in CircleCI and click the Build Project button next to the project you just forked.
  3. To make changes you can edit the .circleci/config.yml file and make a commit. When you push a commit to GitHub, CircleCI will build and test the project.

Config Walkthrough

Start with the version:

version: 2 # use CircleCI 2.0

First, specify a jobs key. Each job represents a phase in your Build-Test-Deploy (BTD) process. The sample app only needs a build job, so all other configuration will be nested under that key.

Specify a working directory and container images for this build in docker section:

jobs: # a collection of steps
  build: # runs not using Workflows must have a `build` job as entry point
    working_directory: ~/circleci-demo-python-django # directory where steps will run
    docker: # run the steps with Docker
      - image: circleci/python:3.6.1 # ...with this image as the primary container; this is where all `steps` will run
      - image: circleci/postgres:9.6.2 # database image for service container available at `localhost:<port>`
        environment: # environment variables for database
          POSTGRES_USER: root
          POSTGRES_DB: circle_test

Finally, add several steps within the build job:

    steps: # a collection of executable commands
      - checkout # special step to check out source code to the working directory
      - restore_cache: # restores saved dependency cache if the Branch key template or requirements.txt files have not changed since the previous run
          key: deps1-{{ .Branch }}-{{ checksum "requirements.txt" }}
      - run: # install and activate virtual environment with pip
          command: |
            python3 -m venv venv
            . venv/bin/activate
            pip install -r requirements.txt
      - save_cache: # special step to save dependency cache
          key: deps1-{{ .Branch }}-{{ checksum "requirements.txt" }}
            - "venv"
      - run: # run tests
          command: |
            . venv/bin/activate
            python test
      - store_artifacts: # special step to store test reports as artifacts
          path: test-reports/
          destination: tr1
      # See for deploy examples    

For the complete list of CircleCI configuration keys, refer to the Configuring CircleCI document.

See Also