feat:修改定时任务脚本

ad/01_ad_model_update_everyday.sh

@@ -84,42 +84,42 @@ export JAVA_HOME=/usr/lib/jvm/java-1.8.0
 
 
 # 4 模型训练
-$HADOOP fs -text ${bucketFeatureSavePath}/${today_early_1}/* | ${FM_HOME}/bin/fm_train -m ${MODEL_PATH}/${model_name}_${today_early_1}.txt -dim 1,1,8  -im ${LAST_MODEL_HOME}/model_online.txt -core 8
-if [ $? -ne 0 ]; then
-   echo "模型训练失败"
-   /root/anaconda3/bin/python ad/ad_monitor_util.py "广告模型训练失败"
-   exit 1
-fi
-
-
-# 5 对比AUC
-# 5.1 校验今天10分区的数据是否生产完成
-$HADOOP fs -text ${bucketFeatureSavePath}/${today}/* | ${FM_HOME}/bin/fm_predict -m ${LAST_MODEL_HOME}/model_online.txt -dim 8 -core 8 -out ${PREDICT_PATH}/${model_name}_${today}_online.txt
-$HADOOP fs -text ${bucketFeatureSavePath}/${today}/* | ${FM_HOME}/bin/fm_predict -m ${MODEL_PATH}/${model_name}_${today_early_1}.txt -dim 8 -core 8 -out ${PREDICT_PATH}/${model_name}_${today}_new.txt
-
-# shellcheck disable=SC2006
-online_auc=`cat ${PREDICT_PATH}/${model_name}_${today}_online.txt | /root/sunmingze/AUC/AUC`
-if [ $? -ne 0 ]; then
-   echo "线上模型AUC计算失败"
-   /root/anaconda3/bin/python ad/ad_monitor_util.py "线上模型AUC计算失败"
-   exit 1
-fi
+#$HADOOP fs -text ${bucketFeatureSavePath}/${today_early_1}/* | ${FM_HOME}/bin/fm_train -m ${MODEL_PATH}/${model_name}_${today_early_1}.txt -dim 1,1,8  -im ${LAST_MODEL_HOME}/model_online.txt -core 8
+#if [ $? -ne 0 ]; then
+#   echo "模型训练失败"
+#   /root/anaconda3/bin/python ad/ad_monitor_util.py "广告模型训练失败"
+#   exit 1
+#fi
 
-new_auc=`cat ${PREDICT_PATH}/${model_name}_${today}_new.txt | /root/sunmingze/AUC/AUC`
-if [ $? -ne 0 ]; then
-   echo "新模型AUC计算失败"
-   /root/anaconda3/bin/python ad/ad_monitor_util.py "新模型AUC计算失败"
-   exit 1
-fi
 
-if [ "$online_auc" \< "$new_auc" ]; then
-    echo "新模型优于线上模型: 线上模型AUC: ${online_auc}, 新模型AUC: ${new_auc}"
-    /root/anaconda3/bin/python ad/ad_monitor_util.py "新模型优于线上模型: 线上模型AUC: ${online_auc}, 新模型AUC: ${new_auc}"
-else
-    echo "新模型不如线上模型: 线上模型AUC: ${online_auc}, 新模型AUC: ${new_auc}"
-    /root/anaconda3/bin/python ad/ad_monitor_util.py "新模型不如线上模型: 线上模型AUC: ${online_auc}, 新模型AUC: ${new_auc}"
-    exit 1
-fi
+## 5 对比AUC
+## 5.1 校验今天10分区的数据是否生产完成
+#$HADOOP fs -text ${bucketFeatureSavePath}/${today}/* | ${FM_HOME}/bin/fm_predict -m ${LAST_MODEL_HOME}/model_online.txt -dim 8 -core 8 -out ${PREDICT_PATH}/${model_name}_${today}_online.txt
+#$HADOOP fs -text ${bucketFeatureSavePath}/${today}/* | ${FM_HOME}/bin/fm_predict -m ${MODEL_PATH}/${model_name}_${today_early_1}.txt -dim 8 -core 8 -out ${PREDICT_PATH}/${model_name}_${today}_new.txt
+#
+## shellcheck disable=SC2006
+#online_auc=`cat ${PREDICT_PATH}/${model_name}_${today}_online.txt | /root/sunmingze/AUC/AUC`
+#if [ $? -ne 0 ]; then
+#   echo "线上模型AUC计算失败"
+#   /root/anaconda3/bin/python ad/ad_monitor_util.py "线上模型AUC计算失败"
+#   exit 1
+#fi
+#
+#new_auc=`cat ${PREDICT_PATH}/${model_name}_${today}_new.txt | /root/sunmingze/AUC/AUC`
+#if [ $? -ne 0 ]; then
+#   echo "新模型AUC计算失败"
+#   /root/anaconda3/bin/python ad/ad_monitor_util.py "新模型AUC计算失败"
+#   exit 1
+#fi
+#
+#if [ "$online_auc" \< "$new_auc" ]; then
+#    echo "新模型优于线上模型: 线上模型AUC: ${online_auc}, 新模型AUC: ${new_auc}"
+#    /root/anaconda3/bin/python ad/ad_monitor_util.py "新模型优于线上模型: 线上模型AUC: ${online_auc}, 新模型AUC: ${new_auc}"
+#else
+#    echo "新模型不如线上模型: 线上模型AUC: ${online_auc}, 新模型AUC: ${new_auc}"
+#    /root/anaconda3/bin/python ad/ad_monitor_util.py "新模型不如线上模型: 线上模型AUC: ${online_auc}, 新模型AUC: ${new_auc}"
+#    exit 1
+#fi
 
 
 # 6 模型格式转换
@@ -163,12 +163,12 @@ awk -F " " '{
 #fi
 
 # 7.3 本地保存最新的线上使用的模型，用于下一次的AUC验证
-cp -f ${LAST_MODEL_HOME}/model_online.txt ${LAST_MODEL_HOME}/model_online_$(date +\%Y\%m\%d).txt
-cp -f ${MODEL_PATH}/${model_name}_${today_early_1}.txt ${LAST_MODEL_HOME}/model_online.txt
-if [ $? -ne 0 ]; then
-   echo "模型备份失败"
-   /root/anaconda3/bin/python ad/ad_monitor_util.py "模型备份失败 - 最新模型地址: ${MODEL_PATH}/${model_name}_${today_early_1}.txt"
-   exit 1
-fi
+#cp -f ${LAST_MODEL_HOME}/model_online.txt ${LAST_MODEL_HOME}/model_online_$(date +\%Y\%m\%d).txt
+#cp -f ${MODEL_PATH}/${model_name}_${today_early_1}.txt ${LAST_MODEL_HOME}/model_online.txt
+#if [ $? -ne 0 ]; then
+#   echo "模型备份失败"
+#   /root/anaconda3/bin/python ad/ad_monitor_util.py "模型备份失败 - 最新模型地址: ${MODEL_PATH}/${model_name}_${today_early_1}.txt"
+#   exit 1
+#fi
 
 # 32 16 * * * cd /root/zhangbo/recommend-emr-dataprocess && /bin/sh ./ad/01_ad_model_update_everyday.sh > logs/01_update_eventday$(date +\%Y-\%m-\%d_\%H).log 2>&1