update

task/recommend_strategy_d.py

@@ -74,10 +74,20 @@ spark.sql("CREATE TEMPORARY FUNCTION json_map AS 'brickhouse.udf.json.JsonMapUDF
 spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJsonFormatCheck'")
 spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDFArryMerge'")
 
+
+t = 1
+day_num = 0 - t
+now = (datetime.datetime.now() + datetime.timedelta(days=day_num))
+last_30_day_str = (now + datetime.timedelta(days=-31)).strftime("%Y%m%d")
+today_str = now.strftime("%Y%m%d")
+today_str_format = now.strftime("%Y-%m-%d")
+yesterday_str = (now + datetime.timedelta(days=-1)).strftime("%Y%m%d")
+yesterday_str_format = (now + datetime.timedelta(days=-1)).strftime("%Y-%m-%d")
+one_week_age_str = (now + datetime.timedelta(days=-7)).strftime("%Y%m%d")
 grey_select_sql = """SELECT *,
     NVL(ROUND((navbar_search+highlight_word+self_welfare_card+recommend_welfare_card+recommend_content_card*0.2+transfer_card+video_consultation)/card_exposure,5),0) as recommend_ctr,
     NVL(ROUND(card_click/card_exposure,5),0) as click_ctr,
-    NVL(ROUND((navbar_search+highlight_word+self_welfare_card+recommend_welfare_card+recommend_content_card*0.2+transfer_card+video_consultation)/card_click,5),0) as second_jump_ctr FROM pm.tl_pm_recommend_strategy_d_v2"""
+    NVL(ROUND((navbar_search+highlight_word+self_welfare_card+recommend_welfare_card+recommend_content_card*0.2+transfer_card+video_consultation)/card_click,5),0) as second_jump_ctr FROM pm.tl_pm_recommend_strategy_d_v2 where day_id >= {day_id}""".format(day_id=one_week_age_str)
 device_df = spark.sql(grey_select_sql)
 
 device_df.show(1, False)