run_htzf_recommend.py 7.6 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131
  1. # -*- coding: utf-8 -*-
  2. # @Author: luojunhui
  3. # @Time: 2023/10/19
  4. import argparse
  5. import random
  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, get_rule_from_mysql
  12. from common.scheduling_db import MysqlHelper
  13. from haitunzhufu.haitunzhufu_recommend import HTZFScheduling
  14. class HTZFMain:
  15. @classmethod
  16. def main(cls, log_type, crawler, topic_name, group_id, env):
  17. consumer = get_consumer(topic_name, group_id)
  18. # 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。
  19. # 长轮询时间3秒(最多可设置为30秒)。
  20. wait_seconds = 30
  21. # 一次最多消费3条(最多可设置为16条)。
  22. batch = 1
  23. Common.logger(log_type, crawler).info(f'{10 * "="}Consume And Ack Message From Topic{10 * "="}\n'
  24. f'WaitSeconds:{wait_seconds}\n'
  25. f'TopicName:{topic_name}\n'
  26. f'MQConsumer:{group_id}')
  27. Common.logging(log_type, crawler, env, f'{10 * "="}Consume And Ack Message From Topic{10 * "="}\n'
  28. f'WaitSeconds:{wait_seconds}\n'
  29. f'TopicName:{topic_name}\n'
  30. f'MQConsumer:{group_id}')
  31. while True:
  32. try:
  33. # 长轮询消费消息。
  34. recv_msgs = consumer.consume_message(batch, wait_seconds)
  35. for msg in recv_msgs:
  36. Common.logger(log_type, crawler).info(f"Receive\n"
  37. f"MessageId:{msg.message_id}\n"
  38. f"MessageBodyMD5:{msg.message_body_md5}\n"
  39. f"MessageTag:{msg.message_tag}\n"
  40. f"ConsumedTimes:{msg.consumed_times}\n"
  41. f"PublishTime:{msg.publish_time}\n"
  42. f"Body:{msg.message_body}\n"
  43. f"NextConsumeTime:{msg.next_consume_time}\n"
  44. f"ReceiptHandle:{msg.receipt_handle}\n"
  45. f"Properties:{msg.properties}")
  46. Common.logging(log_type, crawler, env, f"Receive\n"
  47. f"MessageId:{msg.message_id}\n"
  48. f"MessageBodyMD5:{msg.message_body_md5}\n"
  49. f"MessageTag:{msg.message_tag}\n"
  50. f"ConsumedTimes:{msg.consumed_times}\n"
  51. f"PublishTime:{msg.publish_time}\n"
  52. f"Body:{msg.message_body}\n"
  53. f"NextConsumeTime:{msg.next_consume_time}\n"
  54. f"ReceiptHandle:{msg.receipt_handle}\n"
  55. f"Properties:{msg.properties}")
  56. # ack_mq_message
  57. ack_message(log_type=log_type, crawler=crawler, recv_msgs=recv_msgs, consumer=consumer)
  58. # 处理爬虫业务
  59. task_dict = task_fun_mq(msg.message_body)['task_dict']
  60. rule_dict = task_fun_mq(msg.message_body)['rule_dict']
  61. task_id = task_dict['id']
  62. select_user_sql = f"""select * from crawler_user_v3 where task_id={task_id}"""
  63. user_list = MysqlHelper.get_values(log_type, crawler, select_user_sql, env, action="")
  64. our_uid_list = []
  65. for user in user_list:
  66. our_uid_list.append(user["uid"])
  67. our_uid = random.choice(our_uid_list)
  68. Common.logger(log_type, crawler).info(f"调度任务:{task_dict}")
  69. Common.logging(log_type, crawler, env, f"调度任务:{task_dict}")
  70. Common.logger(log_type, crawler).info(f"抓取规则:{rule_dict}")
  71. Common.logging(log_type, crawler, env, f"抓取规则:{rule_dict}")
  72. Common.logger(log_type, crawler).info(f"用户列表:{user_list}\n")
  73. Common.logging(log_type, crawler, env, f"用户列表:{user_list}\n")
  74. Common.logger(log_type, crawler).info(f'开始抓取:{task_dict["taskName"]}\n')
  75. Common.logging(log_type, crawler, env, f'开始抓取:{task_dict["taskName"]}\n')
  76. new_r = get_rule_from_mysql(task_id=task_id, log_type=log_type, crawler=crawler, env=env)
  77. r_d = {}
  78. for item in new_r:
  79. for k, val in item.items():
  80. r_d[k] = val
  81. Common.logger(log_type, crawler).info(f"抓取规则:{r_d}")
  82. Common.logging(log_type, crawler, env, f"抓取规则:{r_d}")
  83. # 初始化
  84. HTZF = HTZFScheduling(
  85. log_type=log_type,
  86. crawler=crawler,
  87. env=env,
  88. rule_dict=r_d,
  89. our_uid=our_uid
  90. )
  91. for i in range(100):
  92. if HTZF.download_count >= int(rule_dict.get("videos_cnt", {}).get("min", 10)):
  93. HTZF.download_count = 0
  94. break
  95. else:
  96. HTZF.get_videoList(page_id=i + 1)
  97. time.sleep(60)
  98. Common.logger(log_type, crawler).info('抓取一轮结束\n')
  99. Common.logging(log_type, crawler, env, '抓取一轮结束\n')
  100. except MQExceptionBase as err:
  101. # Topic中没有消息可消费。
  102. if err.type == "MessageNotExist":
  103. Common.logger(log_type, crawler).info(f"No new message! RequestId:{err.req_id}\n")
  104. Common.logging(log_type, crawler, env, f"No new message! RequestId:{err.req_id}\n")
  105. continue
  106. Common.logger(log_type, crawler).info(f"Consume Message Fail! Exception:{err}\n")
  107. Common.logging(log_type, crawler, env, f"Consume Message Fail! Exception:{err}\n")
  108. time.sleep(2)
  109. continue
  110. if __name__ == "__main__":
  111. parser = argparse.ArgumentParser() ## 新建参数解释器对象
  112. parser.add_argument('--log_type', type=str) ## 添加参数,注明参数类型
  113. parser.add_argument('--crawler') ## 添加参数
  114. parser.add_argument('--topic_name') ## 添加参数
  115. parser.add_argument('--group_id') ## 添加参数
  116. parser.add_argument('--env') ## 添加参数
  117. args = parser.parse_args() ### 参数赋值,也可以通过终端赋值
  118. HTZFMain.main(log_type=args.log_type,
  119. crawler=args.crawler,
  120. topic_name=args.topic_name,
  121. group_id=args.group_id,
  122. env=args.env)