#!/bin/bash
set -e

IMAGE_TAG='kaggle/python-build'
IMAGE_TAG_OVERRIDE=''
ADDITONAL_OPTS=''
PATTERN='test*.py'

usage() {
cat &2
                exit
            fi
            IMAGE_TAG_OVERRIDE=$2
            shift # skip the flag value
            ;;
        -p|--pattern)
            if [[ -z $2 ]]; then
                usage
                printf 'ERROR: No PATTERN specified after the %s flag.\n' "$1" >&2
                exit
            fi
            PATTERN="$2"
            shift # skip the flag value
            ;;
        -?*)
            usage
            printf 'ERROR: Unknown option: %s\n' "$1" >&2
            exit
            ;;
        *)            
            break
    esac

    shift
done

if [[ -n "$IMAGE_TAG_OVERRIDE" ]]; then
    IMAGE_TAG="$IMAGE_TAG_OVERRIDE"
fi

readonly IMAGE_TAG
readonly ADDITONAL_OPTS
readonly PATTERN

set -x
docker run --rm --net=none -v /tmp/python-build:/tmp/python-build "$IMAGE_TAG" 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

# Only run Jupyter server test if no specific test pattern is specified.
if [ $PATTERN == 'test*.py' ]; then
    # 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 $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm "$IMAGE_TAG" jupyter notebook --allow-root --ip="*"
    sleep 3
    docker kill jupyter_test && docker rm jupyter_test
fi

# Note about `TF_FORCE_GPU_ALLOW_GROWTH`. This allocate memory at runtime as needed.
# By default, TensorFlow maps nearly all of the GPU memory visible to the process.
# This is causing issue when other libraries are trying to run tests using a GPU.
# See: https://www.tensorflow.org/guide/gpu#allowing_gpu_memory_growth
#
# Note about `XLA_PYTHON_CLIENT_PREALLOCATE`. By default, JAX preallocates 90%
# of the GPU memory which is causing issues when other libraries are trying to run
# tests using a GPU.
# See: https://jax.readthedocs.io/en/latest/gpu_memory_allocation.html
#
# Note about `--hostname localhost` (b/158137436)
# hostname defaults to the container name which fails DNS name
# resolution with --net=none (required to keep tests hermetic). See details in bug.
docker run --rm -t --read-only --net=none \
    -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key \
    -e KAGGLE_USER_SECRETS_TOKEN_KEY=test-secrets-key \
    -e KAGGLE_URL_BASE=http://127.0.0.1:8001 \
    -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \
    -e KAGGLE_DATA_PROXY_PROJECT=test \
    -e TF_FORCE_GPU_ALLOW_GROWTH=true \
    -e XLA_PYTHON_CLIENT_PREALLOCATE=false \
    --hostname localhost \
    --shm-size=2g \
    -v $PWD:/input:ro -v /tmp/python-build/working:/working \
    -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \
    -w=/working \
    $ADDITONAL_OPTS \
    "$IMAGE_TAG" \
    /bin/bash -c "python -m unittest discover -s /input/tests -p $PATTERN -v"