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#!/bin/bash set -e # Default behavior is to do everything from scratch. # The --use-cache option is useful if you're iterating on a broken build. if [[ "$1" == "--use-cache" ]]; then docker build --rm -t kaggle/python-build . else docker pull continuumio/anaconda3:latest docker build --rm --no-cache -t kaggle/python-build . fi rm -rf /tmp/python-build docker rm jupyter_test || true mkdir -p /tmp/python-build/tmp mkdir -p /tmp/python-build/devshm mkdir -p /tmp/python-build/working # Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root --ip="*" sleep 3 docker kill jupyter_test && docker rm jupyter_test docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 -e KAGGLE_DATA_PROXY_PROJECT=test -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py' # The test_build.py script creates a plot called plot1.png; check that it exists [ -s /tmp/python-build/working/plot1.png ] || exit 1 docker tag kaggle/python-build gcr.io/kaggle-images/python gcloud docker -- push gcr.io/kaggle-images/python docker tag kaggle/python-build:latest kaggle/python:latest docker push kaggle/python:latest