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				@@ -25,7 +25,7 @@ FM_HOME=/root/sunmingze/alphaFM 
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				 today="$(date +%Y%m%d)" 
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				 today_early_1="$(date -d '1 days ago' +%Y%m%d)" 
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				-start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+start_time=$(date +%s) 
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				 elapsed=0 
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				 LOG_PREFIX=广告模型自动更新任务 
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				@@ -102,12 +102,12 @@ check_run_status() { 
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				     local step_start_time=$2 
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				     local step_name=$3 
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				-    local step_end_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				-    local step_elapsed=$(($(date +%s -d "$step_end_time") - $(date +%s -d "$step_start_time"))) 
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				+    local step_end_time=$(date +%s) 
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				+    local step_elapsed=$(($step_end_time - $step_start_time)) 
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				     if [ $status -ne 0 ]; then 
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				         echo "$LOG_PREFIX -- ${step_name}失败: 耗时 $step_elapsed" 
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				-        local elapsed=$(($(date +%s -d "$step_end_time") - $(date +%s -d "$start_time"))) 
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				+        local elapsed=$(($step_end_time - $start_time)) 
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				         /root/anaconda3/bin/python ad/ad_monitor_util.py --level error --msg "$msg" --start "$start_time" --elapsed "$elapsed" 
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				         exit 1 
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				     else 
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				@@ -117,12 +117,12 @@ check_run_status() { 
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				 # 校验大数据任务是否执行完成 
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				 check_ad_hive() { 
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				-    local step_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step_start_time=$(date +%s) 
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				     while true; do 
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				         local python_return_code=$(python ad/ad_utils.py --excute_program check_ad_origin_hive --partition ${predict_end_str:0:8} --hh ${predict_end_str:8:10}) 
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				-        local step_end_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				-        local elapsed=$(($(date +%s -d "$step_end_time") - $(date +%s -d "$step_start_time"))) 
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				+        local step_end_time=$(date +%s) 
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				+        local elapsed=$(($step_end_time - $step_start_time)) 
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				         if [ "$python_return_code" -eq 0 ]; then 
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				             break 
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				         fi 
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				@@ -143,7 +143,7 @@ check_ad_hive() { 
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				 # 原始特征生产 
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				 make_origin_data() { 
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				-    local step_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step_start_time=$(date +%s) 
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				     /opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \ 
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				     --class com.aliyun.odps.spark.zhp.makedata_ad.makedata_ad_31_originData_20240620 \ 
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				     --master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \ 
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				@@ -161,7 +161,7 @@ make_origin_data() { 
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				 # 特征分桶,训练用的数据和预测用的数据分不同的目录 
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				 make_bucket_feature() { 
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				-    local step_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step_start_time=$(date +%s) 
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				     # 训练用的数据 
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				     /opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \ 
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				     --class com.aliyun.odps.spark.zhp.makedata_ad.makedata_ad_33_bucketData_20240622 \ 
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				@@ -191,7 +191,7 @@ make_bucket_feature() { 
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				 # 模型训练 
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				 model_train() { 
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				-    local step_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step_start_time=$(date +%s) 
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				     $HADOOP fs -text ${trainBucketFeaturePath}/* | ${FM_HOME}/bin/fm_train -m ${local_model_file_path} -dim 1,1,8  -im ${LAST_MODEL_HOME}/model_online.txt -core 8 
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				     local return_code=$? 
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				@@ -200,10 +200,10 @@ model_train() { 
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				 # AUC对比 
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				 auc_compare() { 
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				-    local step5_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step5_start_time=$(date +%s) 
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				     # 5.1 计算线上模型的AUC 
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				-    local step_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step_start_time=$(date +%s) 
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				     $HADOOP fs -text ${predictBucketFeaturePath}/* | ${FM_HOME}/bin/fm_predict -m ${LAST_MODEL_HOME}/model_online.txt -dim 8 -core 8 -out ${PREDICT_PATH}/${model_name}_${train_end_str}_online.txt 
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				     online_auc=`cat ${PREDICT_PATH}/${model_name}_${train_end_str}_online.txt | /root/sunmingze/AUC/AUC` 
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				@@ -211,7 +211,7 @@ auc_compare() { 
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				     check_run_status $return_code $step_start_time "线上模型AUC计算" 
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				     # 5.2 计算新模型的AUC 
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				-    step_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    step_start_time=$(date +%s) 
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				     $HADOOP fs -text ${predictBucketFeaturePath}/* | ${FM_HOME}/bin/fm_predict -m ${local_model_file_path} -dim 8 -core 8 -out ${PREDICT_PATH}/${model_name}_${train_end_str}_new.txt 
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				     new_auc=`cat ${PREDICT_PATH}/${model_name}_${train_end_str}_new.txt | /root/sunmingze/AUC/AUC` 
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				@@ -224,8 +224,8 @@ auc_compare() { 
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				     auc_diff=$(echo "$online_auc - $new_auc" | bc -l) 
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				     local auc_diff_abs=$(echo "sqrt(($auc_diff)^2)" | bc -l) 
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				-    local step_end_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				-    local step5_elapsed=$(($(date +%s -d "$step_end_time") - $(date +%s -d "$step5_start_time"))) 
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				+    local step_end_time=$(date +%s) 
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				+    local step5_elapsed=$(($step_end_time - $step5_start_time)) 
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				     # 5.4 如果差值的绝对值小于0.005且新模型的AUC大于0.73, 则更新模型 
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				     if (( $(echo "${online_auc} <= ${new_auc}" | bc -l) )); then 
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				         local msg="新模型优于线上模型 \n\t线上模型AUC: ${online_auc} \n\t新模型AUC: ${new_auc}" 
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				@@ -238,7 +238,7 @@ auc_compare() { 
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				     else 
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				         local msg="新模型与线上模型差值大于等于阈值0.005或新模型的AUC小于0.73 \n\t线上模型AUC: ${online_auc} \n\t新模型AUC: ${new_auc} \n\t差值为: $auc_diff" 
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				         echo -e "$LOG_PREFIX -- $msg: 耗时 $step5_elapsed" 
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				-        local elapsed=$(($(date +%s -d "$step_end_time") - $(date +%s -d "$start_time"))) 
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				+        local elapsed=$(($step_end_time - $start_time)) 
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				         /root/anaconda3/bin/python ad/ad_monitor_util.py --level error --msg "$msg" --start "$start_time" --elapsed "$elapsed" 
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				         exit 1 
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				     fi 
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				@@ -246,7 +246,7 @@ auc_compare() { 
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				 # 模型格式转换 
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				 model_to_online_format() { 
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				-    local step_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step_start_time=$(date +%s) 
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				     cat ${local_model_file_path} | 
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				     awk -F " " '{ 
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				         if (NR == 1) { 
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				@@ -269,7 +269,7 @@ model_to_online_format() { 
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				 # 模型文件上传OSS 
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				 model_upload_oss() { 
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				-    local step_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step_start_time=$(date +%s) 
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				     local online_model_path=${OSS_PATH}/${model_name}.txt 
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				     $HADOOP fs -test -e ${online_model_path} 
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				     if [ $? -eq 0 ]; then 
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				@@ -285,7 +285,7 @@ model_upload_oss() { 
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				 # 模型文件本地备份 
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				 model_local_back() { 
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				-    local step_start_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step_start_time=$(date +%s) 
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				     # 将之前的线上模型进行备份,表示从上一个备份时间到当前时间内,使用的线上模型都是此文件 
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				     # 假设当前是07-11,上一次备份时间为07-07。备份之后表示从07-07下午至07-11上午线上使用的模型文件都是model_online_20240711.txt 
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				     cp -f ${LAST_MODEL_HOME}/model_online.txt ${LAST_MODEL_HOME}/model_online_${$(date "+%Y%m%d%H")}.txt 
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				@@ -297,7 +297,7 @@ model_local_back() { 
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				 # 任务完成通知 
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				 success_inform() { 
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				-    local step_end_time=$(date "+%Y-%m-%d %H:%M:%S") 
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				+    local step_end_time=$(date +%s) 
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				     local msg="\n\t - 广告模型文件更新完成 \n\t - 前一天线上模型全天数据AUC: $yesterday_online_auc \n\t - 前一天新模型全天数据AUC: $yesterday_new_auc \n\t - 新模型AUC: $new_auc \n\t - 线上模型AUC: $online_auc  \n\t - AUC差值: $auc_diff \n\t - 模型上传路径: $online_model_path" 
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				     echo -e "$LOG_PREFIX -- 模型更新完成 -- $msg: 耗时 $step_elapsed" 
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				     local elapsed=$(($(date +%s -d "$step_end_time") - $(date +%s -d "$start_time"))) 
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