Commit afda43b5 authored by 高雅喆's avatar 高雅喆

add path var

parent b5353e6f
#! /bin/bash
PYTHON_PATH=/home/gaoyazhe/miniconda3/bin/python
MODEL_PATH=/srv/apps/ffm-baseline/eda/esmm
DATA_PATH=/home/gaoyazhe/data
echo "start timestamp"
current=$(date "+%Y-%m-%d %H:%M:%S")
timeStamp=$(date -d "$current" +%s)
currentTimeStamp=$((timeStamp*1000+`date "+%N"`/1000000))
echo $currentTimeStamp
echo "rm leave tfrecord"
rm /home/gaoyazhe/data/tr/*
rm /home/gaoyazhe/data/va/*
rm /home/gaoyazhe/data/native/*
rm /home/gaoyazhe/data/nearby/*
rm ${DATA_PATH}/tr/*
rm ${DATA_PATH}/va/*
rm ${DATA_PATH}/native/*
rm ${DATA_PATH}/nearby/*
echo "mysql to csv"
mysql -u root -p3SYz54LS9#^9sBvC -h 10.66.157.22 -P 4000 -D jerry_test -e "select number,data from esmm_data2ffm_train" > /home/gaoyazhe/data/tr.csv
mysql -u root -p3SYz54LS9#^9sBvC -h 10.66.157.22 -P 4000 -D jerry_test -e "select number,data from esmm_data2ffm_cv" > /home/gaoyazhe/data/va.csv
mysql -u root -p3SYz54LS9#^9sBvC -h 10.66.157.22 -P 4000 -D jerry_test -e "select number,data from esmm_data2ffm_infer_native" > /home/gaoyazhe/data/native.csv
mysql -u root -p3SYz54LS9#^9sBvC -h 10.66.157.22 -P 4000 -D jerry_test -e "select number,data from esmm_data2ffm_infer_nearby" > /home/gaoyazhe/data/nearby.csv
mysql -u root -p3SYz54LS9#^9sBvC -h 10.66.157.22 -P 4000 -D jerry_test -e "select number,data from esmm_data2ffm_train" > ${DATA_PATH}/tr.csv
mysql -u root -p3SYz54LS9#^9sBvC -h 10.66.157.22 -P 4000 -D jerry_test -e "select number,data from esmm_data2ffm_cv" > ${DATA_PATH}/va.csv
mysql -u root -p3SYz54LS9#^9sBvC -h 10.66.157.22 -P 4000 -D jerry_test -e "select number,data from esmm_data2ffm_infer_native" > ${DATA_PATH}/native.csv
mysql -u root -p3SYz54LS9#^9sBvC -h 10.66.157.22 -P 4000 -D jerry_test -e "select number,data from esmm_data2ffm_infer_nearby" > ${DATA_PATH}/nearby.csv
echo "split data"
split -l $((`wc -l < /home/gaoyazhe/data/tr.csv`/15)) /home/gaoyazhe/data/tr.csv -d -a 4 /home/gaoyazhe/data/tr/tr_ --additional-suffix=.csv
split -l $((`wc -l < /home/gaoyazhe/data/va.csv`/5)) /home/gaoyazhe/data/va.csv -d -a 4 /home/gaoyazhe/data/va/va_ --additional-suffix=.csv
split -l $((`wc -l < /home/gaoyazhe/data/native.csv`/5)) /home/gaoyazhe/data/native.csv -d -a 4 /home/gaoyazhe/data/native/native_ --additional-suffix=.csv
split -l $((`wc -l < /home/gaoyazhe/data/nearby.csv`/5)) /home/gaoyazhe/data/nearby.csv -d -a 4 /home/gaoyazhe/data/nearby/nearby_ --additional-suffix=.csv
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"
/home/gaoyazhe/miniconda3/bin/python /srv/apps/ffm-baseline/eda/esmm/Feature_pipline/get_tfrecord.py --input_dir=/home/gaoyazhe/data/tr/ --output_dir=/home/gaoyazhe/data/tr/
/home/gaoyazhe/miniconda3/bin/python /srv/apps/ffm-baseline/eda/esmm/Feature_pipline/get_tfrecord.py --input_dir=/home/gaoyazhe/data/va/ --output_dir=/home/gaoyazhe/data/va/
/home/gaoyazhe/miniconda3/bin/python /srv/apps/ffm-baseline/eda/esmm/Feature_pipline/get_tfrecord.py --input_dir=/home/gaoyazhe/data/native/ --output_dir=/home/gaoyazhe/data/native/
/home/gaoyazhe/miniconda3/bin/python /srv/apps/ffm-baseline/eda/esmm/Feature_pipline/get_tfrecord.py --input_dir=/home/gaoyazhe/data/nearby/ --output_dir=/home/gaoyazhe/data/nearby/
${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 /home/gaoyazhe/data/tr/*.tfrecord > /home/gaoyazhe/data/tr/tr.tfrecord
cat /home/gaoyazhe/data/va/*.tfrecord > /home/gaoyazhe/data/va/va.tfrecord
cat /home/gaoyazhe/data/native/*.tfrecord > /home/gaoyazhe/data/native/native.tfrecord
cat /home/gaoyazhe/data/nearby/*.tfrecord > /home/gaoyazhe/data/nearby/nearby.tfrecord
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 /home/gaoyazhe/data/tr/tr_*
rm /home/gaoyazhe/data/va/va_*
rm /home/gaoyazhe/data/native/native_*
rm /home/gaoyazhe/data/nearby/nearby_*
rm ${DATA_PATH}/tr/tr_*
rm ${DATA_PATH}/va/va_*
rm ${DATA_PATH}/native/native_*
rm ${DATA_PATH}/nearby/nearby_*
echo "train..."
/home/gaoyazhe/miniconda3/bin/python /srv/apps/ffm-baseline/eda/esmm/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=11 --feature_size=354332 --l2_reg=0.005 --log_steps=100 --num_threads=36 --model_dir=/home/gaoyazhe/data/model_ckpt/DeepCvrMTL/ --data_dir="/home/gaoyazhe/data" --task_type="train" > /home/gaoyazhe/data/train.log
${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/DeepCvrMTL.py --ctr_task_wgt=0.3 --learning_rate=0.0001 --deep_layers=256,128 --dropout=0.8,0.5 --optimizer=Adam --num_epochs=1 --embedding_size=16 --batch_size=1024 --field_size=11 --feature_size=354332 --l2_reg=0.005 --log_steps=100 --num_threads=36 --model_dir=${DATA_PATH}/model_ckpt/DeepCvrMTL/ --data_dir="${DATA_PATH}" --task_type="train" > ${DATA_PATH}/train.log
/home/gaoyazhe/miniconda3/bin/python /srv/apps/ffm-baseline/eda/esmm/Model_pipline/send_mail.py
${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/send_mail.py
echo "infer native..."
/home/gaoyazhe/miniconda3/bin/python /srv/apps/ffm-baseline/eda/esmm/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=11 --feature_size=354332 --l2_reg=0.005 --log_steps=100 --num_threads=36 --model_dir=/home/gaoyazhe/data/model_ckpt/DeepCvrMTL/ --data_dir="/home/gaoyazhe/data/native" --task_type="infer"
${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/DeepCvrMTL.py --ctr_task_wgt=0.3 --learning_rate=0.0001 --deep_layers=256,128 --dropout=0.8,0.5 --optimizer=Adam --num_epochs=1 --embedding_size=16 --batch_size=1024 --field_size=11 --feature_size=354332 --l2_reg=0.005 --log_steps=100 --num_threads=36 --model_dir=${DATA_PATH}/model_ckpt/DeepCvrMTL/ --data_dir="${DATA_PATH}/native" --task_type="infer"
echo "infer nearby..."
/home/gaoyazhe/miniconda3/bin/python /srv/apps/ffm-baseline/eda/esmm/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=11 --feature_size=354332 --l2_reg=0.005 --log_steps=100 --num_threads=36 --model_dir=/home/gaoyazhe/data/model_ckpt/DeepCvrMTL/ --data_dir="/home/gaoyazhe/data/nearby" --task_type="infer"
${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/DeepCvrMTL.py --ctr_task_wgt=0.3 --learning_rate=0.0001 --deep_layers=256,128 --dropout=0.8,0.5 --optimizer=Adam --num_epochs=1 --embedding_size=16 --batch_size=1024 --field_size=11 --feature_size=354332 --l2_reg=0.005 --log_steps=100 --num_threads=36 --model_dir=${DATA_PATH}/model_ckpt/DeepCvrMTL/ --data_dir="${DATA_PATH}/nearby" --task_type="infer"
echo "sort and 2sql"
/home/gaoyazhe/miniconda3/bin/python /srv/apps/ffm-baseline/eda/esmm/Model_pipline/sort_and_2sql.py
${PYTHON_PATH} ${MODEL_PATH}/Model_pipline/sort_and_2sql.py
echo "stop timestamp"
current=$(date "+%Y-%m-%d %H:%M:%S")
timeStamp=$(date -d "$current" +%s)
currentTimeStamp=$((timeStamp*1000+`date "+%N"`/1000000))
......
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