#!/bin/bash

# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

set -v

echo "Submitting an AI Platform job..."

export MODEL_NAME="sklearn_taxi_custom"
export MODEL_DIR=gs://${BUCKET_NAME}/${MODEL_NAME}  # TODO Change BUCKET_NAME to your bucket name
export CUSTOM_ROUTINE_PATH=gs://${BUCKET_NAME}/${MODEL_NAME}/library/custom_routine-1.0.tar.gz

gsutil mb gs://"${BUCKET_NAME}"

PACKAGE_PATH=./trainer # this can be a gcs location to a zipped and uploaded package
CURRENT_DATE=$(date +%Y%m%d_%H%M%S)
JOB_NAME=train_${MODEL_NAME}_${CURRENT_DATE}
PYTHON_VERSION=3.7
RUNTIME_VERSION=1.15
TIER="BASIC" # BASIC | BASIC_GPU | STANDARD_1 | PREMIUM_1


gcloud ai-platform jobs submit training "${JOB_NAME}" \
 --job-dir="${MODEL_DIR}" \
 --python-version=${PYTHON_VERSION} \
 --runtime-version=${RUNTIME_VERSION} \
 --region="${REGION}" \
 --scale-tier=${TIER} \
 --module-name=trainer.task \
 --package-path=${PACKAGE_PATH}  \
 --stream-logs \
 -- \
 --input="${GCS_TAXI_TRAIN_BIG}" \
 --n-estimators=20 \
 --max-depth=3

python ./package.py sdist --formats=gztar
gsutil cp ./dist/custom_routine-1.0.tar.gz "${CUSTOM_ROUTINE_PATH}"

set -

# Notes:
# GCS_TAXI_TRAIN_BIG is set by datasets/download-taxi.sh script
# use --packages instead of --package-path if gcs location
# add --reuse-job-dir to resume training
