#! /bin/bash
PYTHON_PATH=/home/gaoyazhe/miniconda3/bin/python
MODEL_PATH=/srv/apps/ffm-baseline/eda/esmm
DATA_PATH=/home/gaoyazhe/data

echo "start time"
current=$(date "+%Y-%m-%d %H:%M:%S")
timeStamp=$(date -d "$current" +%s)
currentTimeStamp=$((timeStamp*1000+`date "+%N"`/1000000))
echo $current

echo "rm leave tfrecord"
rm ${DATA_PATH}/tr/*
rm ${DATA_PATH}/va/*
rm ${DATA_PATH}/native/*
rm ${DATA_PATH}/nearby/*

echo "data2ffm"
${PYTHON_PATH} ${MODEL_PATH}/Feature_pipline/data2ffm.py > ${DATA_PATH}/infer.log

echo "split data"
split -l $((`wc -l < ${DATA_PATH}/tr.csv`/15)) ${DATA_PATH}/tr.csv -d -a 4 ${DATA_PATH}/tr/tr_ --additional-suffix=.csv
split -l $((`wc -l < ${DATA_PATH}/va.csv`/5)) ${DATA_PATH}/va.csv -d -a 4 ${DATA_PATH}/va/va_ --additional-suffix=.csv
split -l $((`wc -l < ${DATA_PATH}/native.csv`/5)) ${DATA_PATH}/native.csv -d -a 4 ${DATA_PATH}/native/native_ --additional-suffix=.csv
split -l $((`wc -l < ${DATA_PATH}/nearby.csv`/5)) ${DATA_PATH}/nearby.csv -d -a 4 ${DATA_PATH}/nearby/nearby_ --additional-suffix=.csv

echo "csv to tfrecord"
${PYTHON_PATH} ${MODEL_PATH}/Feature_pipline/get_tfrecord.py --input_dir=${DATA_PATH}/tr/ --output_dir=${DATA_PATH}/tr/
${PYTHON_PATH} ${MODEL_PATH}/Feature_pipline/get_tfrecord.py --input_dir=${DATA_PATH}/va/ --output_dir=${DATA_PATH}/va/
${PYTHON_PATH} ${MODEL_PATH}/Feature_pipline/get_tfrecord.py --input_dir=${DATA_PATH}/native/ --output_dir=${DATA_PATH}/native/
${PYTHON_PATH} ${MODEL_PATH}/Feature_pipline/get_tfrecord.py --input_dir=${DATA_PATH}/nearby/ --output_dir=${DATA_PATH}/nearby/

cat ${DATA_PATH}/tr/*.tfrecord > ${DATA_PATH}/tr/tr.tfrecord
cat ${DATA_PATH}/va/*.tfrecord > ${DATA_PATH}/va/va.tfrecord
cat ${DATA_PATH}/native/*.tfrecord > ${DATA_PATH}/native/native.tfrecord
cat ${DATA_PATH}/nearby/*.tfrecord > ${DATA_PATH}/nearby/nearby.tfrecord

rm ${DATA_PATH}/tr/tr_*
rm ${DATA_PATH}/va/va_*
rm ${DATA_PATH}/native/native_*
rm ${DATA_PATH}/nearby/nearby_*

echo "data transform time"
current=$(date "+%Y-%m-%d %H:%M:%S")
timeStamp=$(date -d "$current" +%s)
currentTimeStamp=$((timeStamp*1000+`date "+%N"`/1000000))
echo $current

echo "train..."
${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/DeepCvrMTL.py --ctr_task_wgt=0.3 --learning_rate=0.0001 --deep_layers=256,128 --dropout=0.8,0.5 --optimizer=Adam --num_epochs=1 --embedding_size=16 --batch_size=1024 --field_size=23 --feature_size=354332 --l2_reg=0.005 --log_steps=100 --num_threads=36 --model_dir=${DATA_PATH}/model_ckpt/DeepCvrMTL/ --data_dir=${DATA_PATH} --task_type=train

echo "train time"
current=$(date "+%Y-%m-%d %H:%M:%S")
timeStamp=$(date -d "$current" +%s)
currentTimeStamp=$((timeStamp*1000+`date "+%N"`/1000000))
echo $current

echo "infer native..."
${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/DeepCvrMTL.py --ctr_task_wgt=0.3 --learning_rate=0.0001 --deep_layers=256,128 --dropout=0.8,0.5 --optimizer=Adam --num_epochs=1 --embedding_size=16 --batch_size=1024 --field_size=23 --feature_size=354332 --l2_reg=0.005 --log_steps=100 --num_threads=36 --model_dir=${DATA_PATH}/model_ckpt/DeepCvrMTL/ --data_dir=${DATA_PATH}/native --task_type=infer > ${DATA_PATH}/infer.log


echo "infer nearby..."
${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/DeepCvrMTL.py --ctr_task_wgt=0.3 --learning_rate=0.0001 --deep_layers=256,128 --dropout=0.8,0.5 --optimizer=Adam --num_epochs=1 --embedding_size=16 --batch_size=1024 --field_size=23 --feature_size=354332 --l2_reg=0.005 --log_steps=100 --num_threads=36 --model_dir=${DATA_PATH}/model_ckpt/DeepCvrMTL/ --data_dir=${DATA_PATH}/nearby --task_type=infer > ${DATA_PATH}/infer.log

echo "sort and 2sql"
${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/sort_and_2sql.py

echo "infer and sort and 2sql time"
current=$(date "+%Y-%m-%d %H:%M:%S")
timeStamp=$(date -d "$current" +%s)
currentTimeStamp=$((timeStamp*1000+`date "+%N"`/1000000))
echo $current

${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/send_mail.py