run_kykoffline_recommend.py 7.8 KB

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  1. # -*- coding: utf-8 -*-
  2. # @Time: 2023/10/24
  3. import argparse
  4. import random
  5. import multiprocessing
  6. from mq_http_sdk.mq_client import *
  7. from mq_http_sdk.mq_consumer import *
  8. from mq_http_sdk.mq_exception import MQExceptionBase
  9. sys.path.append(os.getcwd())
  10. from common.common import Common
  11. from common.public import get_consumer, ack_message, task_fun_mq
  12. from common.scheduling_db import MysqlHelper
  13. from kanyikan.kanyikan_recommend.kanyikan_recommend_offline import KanyikanRecommend
  14. def run(args1, args2, args3, args4, args5):
  15. KanyikanRecommend.start_wechat(log_type=args1,
  16. crawler=args2,
  17. rule_dict=args3,
  18. our_uid=args4,
  19. env=args5)
  20. class ZFQZMain:
  21. @classmethod
  22. def zhufuquanzi_main(cls, log_type, crawler, topic_name, group_id, env):
  23. topic_name="kykoffline_recommend_prod"
  24. group_id="kykoffline_recommend_prod"
  25. consumer = get_consumer(topic_name, group_id)
  26. # 长轮询表示如果Topic没有消息,则客户端请求会在服务端挂起3秒,3秒内如果有消息可以消费则立即返回响应。
  27. # 长轮询时间3秒(最多可设置为30秒)。
  28. wait_seconds = 30
  29. # 一次最多消费3条(最多可设置为16条)。
  30. batch = 1
  31. Common.logger(log_type, crawler).info(f'{10 * "="}Consume And Ack Message From Topic{10 * "="}\n'
  32. f'WaitSeconds:{wait_seconds}\n'
  33. f'TopicName:{topic_name}\n'
  34. f'MQConsumer:{group_id}')
  35. Common.logging(log_type, crawler, env, f'{10 * "="}Consume And Ack Message From Topic{10 * "="}\n'
  36. f'WaitSeconds:{wait_seconds}\n'
  37. f'TopicName:{topic_name}\n'
  38. f'MQConsumer:{group_id}')
  39. while True:
  40. try:
  41. # 长轮询消费消息。
  42. recv_msgs = consumer.consume_message(batch, wait_seconds)
  43. for msg in recv_msgs:
  44. Common.logger(log_type, crawler).info(f"Receive\n"
  45. f"MessageId:{msg.message_id}\n"
  46. f"MessageBodyMD5:{msg.message_body_md5}\n"
  47. f"MessageTag:{msg.message_tag}\n"
  48. f"ConsumedTimes:{msg.consumed_times}\n"
  49. f"PublishTime:{msg.publish_time}\n"
  50. f"Body:{msg.message_body}\n"
  51. f"NextConsumeTime:{msg.next_consume_time}\n"
  52. f"ReceiptHandle:{msg.receipt_handle}\n"
  53. f"Properties:{msg.properties}")
  54. Common.logging(log_type, crawler, env, f"Receive\n"
  55. f"MessageId:{msg.message_id}\n"
  56. f"MessageBodyMD5:{msg.message_body_md5}\n"
  57. f"MessageTag:{msg.message_tag}\n"
  58. f"ConsumedTimes:{msg.consumed_times}\n"
  59. f"PublishTime:{msg.publish_time}\n"
  60. f"Body:{msg.message_body}\n"
  61. f"NextConsumeTime:{msg.next_consume_time}\n"
  62. f"ReceiptHandle:{msg.receipt_handle}\n"
  63. f"Properties:{msg.properties}")
  64. # ack_mq_message
  65. ack_message(log_type=log_type, crawler=crawler, recv_msgs=recv_msgs, consumer=consumer)
  66. # 处理爬虫业务
  67. task_dict = task_fun_mq(msg.message_body)['task_dict']
  68. rule_dict = task_fun_mq(msg.message_body)['rule_dict']
  69. task_id = task_dict['id']
  70. select_user_sql = f"""select * from crawler_user_v3 where task_id={task_id}"""
  71. user_list = MysqlHelper.get_values(log_type, crawler, select_user_sql, env, action="")
  72. our_uid_list = []
  73. for user in user_list:
  74. our_uid_list.append(user["uid"])
  75. our_uid = random.choice(our_uid_list)
  76. Common.logger(log_type, crawler).info(f"调度任务:{task_dict}")
  77. Common.logging(log_type, crawler, env, f"调度任务:{task_dict}")
  78. Common.logger(log_type, crawler).info(f"抓取规则:{rule_dict}")
  79. Common.logging(log_type, crawler, env, f"抓取规则:{rule_dict}")
  80. Common.logger(log_type, crawler).info(f"用户列表:{user_list}\n")
  81. Common.logging(log_type, crawler, env, f"用户列表:{user_list}\n")
  82. Common.logger(log_type, crawler).info(f'开始抓取:{task_dict["taskName"]}\n')
  83. Common.logging(log_type, crawler, env, f'开始抓取:{task_dict["taskName"]}\n')
  84. process = multiprocessing.Process(
  85. target=run,
  86. args=(log_type, crawler, rule_dict, our_uid, env)
  87. )
  88. process.start()
  89. print("进程开始")
  90. for i in range(10):
  91. if not process.is_alive():
  92. print("进程异常,准备重启")
  93. process.terminate()
  94. os.system("adb forward --remove-all")
  95. time.sleep(60)
  96. process = multiprocessing.Process(
  97. target=run,
  98. args=(log_type, crawler, rule_dict, our_uid, env)
  99. )
  100. process.start()
  101. time.sleep(60)
  102. Common.logger(log_type, crawler).info('抓取一轮结束\n')
  103. Common.logging(log_type, crawler, env, '抓取一轮结束\n')
  104. except MQExceptionBase as err:
  105. # Topic中没有消息可消费。
  106. if err.type == "MessageNotExist":
  107. Common.logger(log_type, crawler).info(f"No new message! RequestId:{err.req_id}\n")
  108. Common.logging(log_type, crawler, env, f"No new message! RequestId:{err.req_id}\n")
  109. continue
  110. Common.logger(log_type, crawler).info(f"Consume Message Fail! Exception:{err}\n")
  111. Common.logging(log_type, crawler, env, f"Consume Message Fail! Exception:{err}\n")
  112. time.sleep(2)
  113. continue
  114. if __name__ == "__main__":
  115. parser = argparse.ArgumentParser() ## 新建参数解释器对象
  116. parser.add_argument('--log_type', type=str) ## 添加参数,注明参数类型
  117. parser.add_argument('--crawler') ## 添加参数
  118. parser.add_argument('--topic_name') ## 添加参数
  119. parser.add_argument('--group_id') ## 添加参数
  120. parser.add_argument('--env') ## 添加参数
  121. args = parser.parse_args() ### 参数赋值,也可以通过终端赋值
  122. ZFQZMain.zhufuquanzi_main(log_type=args.log_type,
  123. crawler=args.crawler,
  124. topic_name=args.topic_name,
  125. group_id=args.group_id,
  126. env=args.env)