alg_recsys_rank_item_realtime_1day.py 8.5 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207
  1. # -*- coding: utf-8 -*-
  2. import traceback
  3. import datetime
  4. from odps import ODPS
  5. from threading import Timer
  6. from my_utils import RedisHelper, get_data_from_odps, send_msg_to_feishu
  7. from my_config import set_config
  8. from log import Log
  9. from alg_recsys_recall_4h_region_trend import records_process_for_list
  10. import json
  11. from datetime import datetime, timedelta
  12. import sys
  13. from my_utils import execute_sql_from_odps
  14. config_, _ = set_config()
  15. log_ = Log()
  16. redis_helper = RedisHelper()
  17. REDIS_PREFIX = "item_rt_fea_1day_"
  18. def process_and_store(row):
  19. video_id, json_str = row
  20. key = REDIS_PREFIX + str(video_id)
  21. expire_time = 24 * 3600
  22. redis_helper.set_data_to_redis(key, json_str, expire_time)
  23. # log_.info("video写入数据key={},value={}".format(key, json_str))
  24. def check_data(project, table, partition) -> int:
  25. """检查数据是否准备好,输出数据条数"""
  26. odps = ODPS(
  27. access_id=config_.ODPS_CONFIG['ACCESSID'],
  28. secret_access_key=config_.ODPS_CONFIG['ACCESSKEY'],
  29. project=project,
  30. endpoint=config_.ODPS_CONFIG['ENDPOINT'],
  31. connect_timeout=3000,
  32. read_timeout=500000,
  33. pool_maxsize=1000,
  34. pool_connections=1000
  35. )
  36. try:
  37. t = odps.get_table(name=table)
  38. log_.info(f"检查分区是否存在-【 dt={partition} 】")
  39. check_res = t.exist_partition(partition_spec=f'dt={partition}')
  40. if check_res:
  41. sql = f'select * from {project}.{table} where dt = {partition}'
  42. log_.info(sql)
  43. with odps.execute_sql(sql=sql).open_reader() as reader:
  44. data_count = reader.count
  45. else:
  46. log_.info("表{}分区{}不存在".format(table, partition))
  47. data_count = 0
  48. except Exception as e:
  49. log_.error("table:{},partition:{} no data. return data_count=0:{}".format(
  50. table, partition, e))
  51. data_count = 0
  52. return data_count
  53. def get_sql(date, previous_date_str, project):
  54. sql = '''
  55. SELECT videoid
  56. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",view_pv))) AS view_pv_list_1day
  57. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",view_uv))) AS view_uv_list_1day
  58. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",play_pv))) AS play_pv_list_1day
  59. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",play_uv))) AS play_uv_list_1day
  60. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",share_pv))) AS share_pv_list_1day
  61. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",share_uv))) AS share_uv_list_1day
  62. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",return_uv))) AS return_uv_list_1day
  63. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",p_view_uv))) AS p_view_uv_list_1day
  64. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",p_view_pv))) AS p_view_pv_list_1day
  65. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",p_return_uv))) AS p_return_uv_list_1day
  66. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",2day_share_uv))) AS share_uv_list_2day
  67. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",2day_share_pv))) AS share_pv_list_2day
  68. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",3day_share_uv))) AS share_uv_list_3day
  69. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",3day_share_pv))) AS share_pv_list_3day
  70. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",1day_sharedepth_max_avg))) AS sharedepth_max_avg_list_1day
  71. ,CONCAT_WS(',',COLLECT_LIST(CONCAT(dt,":",1day_sharewidth_max_avg))) AS sharewidth_max_avg_list_1day
  72. FROM (
  73. SELECT videoid
  74. ,dt
  75. ,SUM(view次数) AS view_pv
  76. ,SUM(view人数) AS view_uv
  77. ,SUM(play次数) AS play_pv
  78. ,SUM(play人数) AS play_uv
  79. ,SUM(share次数) AS share_pv
  80. ,SUM(share人数) AS share_uv
  81. ,SUM(回流人数) AS return_uv
  82. ,SUM(platform_view) AS p_view_uv
  83. ,SUM(platform_view_total) AS p_view_pv
  84. ,SUM(platform_return) AS p_return_uv
  85. ,SUM(lasttwodays_share) AS 2day_share_uv
  86. ,SUM(lasttwodays_share_total) AS 2day_share_pv
  87. ,SUM(lastthreedays_share) AS 3day_share_uv
  88. ,SUM(lastthreedays_share_total) AS 3day_share_pv
  89. ,SUM(sharedepth_max_avg) AS 1day_sharedepth_max_avg
  90. ,SUM(sharewidth_max_avg) AS 1day_sharewidth_max_avg
  91. FROM loghubods.video_data_each_hour_dataset_24h_total_apptype
  92. WHERE dt <= '{}23'
  93. AND dt >= '{}00'
  94. GROUP BY videoid
  95. ,dt
  96. )
  97. GROUP BY videoid
  98. '''.format(date, previous_date_str)
  99. print("sql:" + sql)
  100. records = execute_sql_from_odps(project=project, sql=sql)
  101. video_list = []
  102. with records.open_reader() as reader:
  103. for record in reader:
  104. video_id = record['videoid']
  105. m = dict()
  106. try:
  107. m["view_pv_list_1day"] = record['view_pv_list_1day']
  108. except Exception as e:
  109. log_.error(e)
  110. try:
  111. m["view_uv_list_1day"] = record['view_uv_list_1day']
  112. except Exception as e:
  113. log_.error(e)
  114. try:
  115. m["play_pv_list_1day"] = record['play_pv_list_1day']
  116. except Exception as e:
  117. log_.error(e)
  118. try:
  119. m["play_uv_list_1day"] = record['play_uv_list_1day']
  120. except Exception as e:
  121. log_.error(e)
  122. try:
  123. m["share_pv_list_1day"] = record['share_pv_list_1day']
  124. except Exception as e:
  125. log_.error(e)
  126. try:
  127. m["share_uv_list_1day"] = record['share_uv_list_1day']
  128. except Exception as e:
  129. log_.error(e)
  130. try:
  131. m["return_uv_list_1day"] = record['return_uv_list_1day']
  132. except Exception as e:
  133. log_.error(e)
  134. try:
  135. m["p_view_pv_list_1day"] = record['p_view_pv_list_1day']
  136. except Exception as e:
  137. log_.error(e)
  138. try:
  139. m["p_view_uv_list_1day"] = record['p_view_uv_list_1day']
  140. except Exception as e:
  141. log_.error(e)
  142. try:
  143. m["p_return_uv_list_1day"] = record['p_return_uv_list_1day']
  144. except Exception as e:
  145. log_.error(e)
  146. try:
  147. m["sharedepth_max_avg_list_1day"] = record['sharedepth_max_avg_list_1day']
  148. except Exception as e:
  149. log_.error(e)
  150. try:
  151. m["sharewidth_max_avg_list_1day"] = record['sharewidth_max_avg_list_1day']
  152. except Exception as e:
  153. log_.error(e)
  154. json_str = json.dumps(m)
  155. video_list.append([video_id, json_str])
  156. return video_list
  157. def h_timer_check():
  158. try:
  159. date = sys.argv[1]
  160. hour = sys.argv[2]
  161. except Exception as e:
  162. now_date = datetime.today()
  163. date = datetime.strftime(now_date, '%Y%m%d')
  164. hour = datetime.now().hour
  165. log_.info("没有读取到参数,采用系统时间,报错info:{}".format(e))
  166. # 1 判断上游数据表是否生产完成
  167. project = "loghubods"
  168. table = "video_data_each_hour_dataset_24h_total_apptype"
  169. partition = str(date) + str(hour)
  170. table_data_cnt = check_data(project, table, partition)
  171. if table_data_cnt == 0:
  172. log_.info("上游数据{}未就绪{},等待...".format(table, partition))
  173. Timer(60, h_timer_check).start()
  174. else:
  175. log_.info("上游数据就绪,count={},开始读取数据表".format(table_data_cnt))
  176. # 2 读取数据表 处理特征
  177. previous_date_str = (datetime.strptime(
  178. date, "%Y%m%d") - timedelta(days=1)).strftime("%Y%m%d")
  179. video_list = get_sql(date, previous_date_str, project)
  180. # 3 写入redis
  181. log_.info("video的数据量:{}".format(len(video_list)))
  182. records_process_for_list(
  183. video_list, process_and_store, max_size=50, num_workers=8)
  184. redis_helper.set_data_to_redis(
  185. REDIS_PREFIX + "partition", partition, 24 * 3600)
  186. if __name__ == '__main__':
  187. log_.info("开始执行:" + datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
  188. h_timer_check()
  189. log_.info("完成执行:" + datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
  190. # cd /root/zhangbo/rov-offline
  191. # python alg_recsys_rank_item_realtime_1day.py 20240117 20