recommend-emr-dataprocess/ad/01_ad_model_update.sh

#!/bin/sh
set -x

# source /root/anaconda3/bin/activate py37
sh_path=$(dirname $0)
source ${sh_path}/00_common.sh

export SPARK_HOME=/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8
export PATH=$SPARK_HOME/bin:$PATH
export HADOOP_CONF_DIR=/etc/taihao-apps/hadoop-conf
export JAVA_HOME=/usr/lib/jvm/java-1.8.0

# 全局常量
HADOOP=/opt/apps/HADOOP-COMMON/hadoop-common-current/bin/hadoop

TRAIN_PATH=/dw/recommend/model/31_ad_sample_data_v4
BUCKET_FEATURE_PATH=/dw/recommend/model/33_ad_train_data_v4
TABLE=alg_recsys_ad_sample_all

today_early_1="$(date -d '1 days ago' +%Y%m%d)"

train_dates=()

init() {
  local count=
  local handle_date="$(date -d '2 days ago' +%Y%m%d)"

  # 循环获取前 n 天的非节日日期
  while [[ $count -lt 7 ]]; do
    # 获取当前日期的 MM-DD 部分
    date_key=$(date -d "$handle_date -${count} day" +%Y%m%d)

    # 判断是否是节日
    if [ $(is_holidays $date_key) -ge 0 ]; then
      # 如果不是节日，添加到数组中
      train_dates+=($date_key)
      # 计数器加 1
      count=$((count + 1))
    fi
  done

  echo "train_dates: ${train_dates[@]}"

}


# 主方法
main() {
  init 

}


main