run_ks_recommend.py 4.8 KB

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  1. # -*- coding: utf-8 -*-
  2. # @Author: wangkun
  3. # @Time: 2023/6/7
  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
  12. from common.scheduling_db import MysqlHelper
  13. from kuaishou.kuaishou_recommend.kuaishou_recommend_shceduling import KuaiShouRecommendScheduling
  14. def main(log_type, crawler, topic_name, group_id, env):
  15. consumer = get_consumer(topic_name, group_id)
  16. # 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。
  17. # 长轮询时间3秒(最多可设置为30秒)。
  18. wait_seconds = 3
  19. # 一次最多消费3条(最多可设置为16条)。
  20. batch = 1
  21. Common.logger(log_type, crawler).info(f'{10 * "="}Consume And Ack Message From Topic{10 * "="}\n'
  22. f'WaitSeconds:{wait_seconds}\n'
  23. f'TopicName:{topic_name}\n'
  24. f'MQConsumer:{group_id}')
  25. while True:
  26. try:
  27. # 长轮询消费消息。
  28. recv_msgs = consumer.consume_message(batch, wait_seconds)
  29. for msg in recv_msgs:
  30. Common.logger(log_type, crawler).info(f"Receive\n"
  31. f"MessageId:{msg.message_id}\n"
  32. f"MessageBodyMD5:{msg.message_body_md5}\n"
  33. f"MessageTag:{msg.message_tag}\n"
  34. f"ConsumedTimes:{msg.consumed_times}\n"
  35. f"PublishTime:{msg.publish_time}\n"
  36. f"Body:{msg.message_body}\n"
  37. f"NextConsumeTime:{msg.next_consume_time}\n"
  38. f"ReceiptHandle:{msg.receipt_handle}\n"
  39. f"Properties:{msg.properties}")
  40. # ack_mq_message
  41. ack_message(log_type=log_type, crawler=crawler, recv_msgs=recv_msgs, consumer=consumer)
  42. # 处理爬虫业务
  43. task_dict = task_fun_mq(msg.message_body)['task_dict']
  44. rule_dict = task_fun_mq(msg.message_body)['rule_dict']
  45. task_id = task_dict['id']
  46. select_user_sql = f"""select * from crawler_user_v3 where task_id={task_id}"""
  47. user_list = MysqlHelper.get_values(log_type, crawler, select_user_sql, env, action="")
  48. our_uid_list = []
  49. for user in user_list:
  50. our_uid_list.append(user["uid"])
  51. our_uid = random.choice(our_uid_list)
  52. Common.logger(log_type, crawler).info(f"调度任务:{task_dict}")
  53. Common.logger(log_type, crawler).info(f"抓取规则:{rule_dict}")
  54. # Common.logger(log_type, crawler).info(f"用户列表:{user_list}\n")
  55. Common.logger(log_type, crawler).info(f'开始抓取 {task_dict["taskName"]}\n')
  56. KuaiShouRecommendScheduling.get_videoList(log_type=log_type,
  57. crawler=crawler,
  58. rule_dict=rule_dict,
  59. our_uid=our_uid,
  60. env=env)
  61. Common.del_logs(log_type, crawler)
  62. Common.logger(log_type, crawler).info('抓取一轮结束\n')
  63. except MQExceptionBase as err:
  64. # Topic中没有消息可消费。
  65. if err.type == "MessageNotExist":
  66. Common.logger(log_type, crawler).info(f"No new message! RequestId:{err.req_id}\n")
  67. continue
  68. Common.logger(log_type, crawler).info(f"Consume Message Fail! Exception:{err}\n")
  69. time.sleep(2)
  70. continue
  71. if __name__ == "__main__":
  72. parser = argparse.ArgumentParser() ## 新建参数解释器对象
  73. parser.add_argument('--log_type', type=str) ## 添加参数,注明参数类型
  74. parser.add_argument('--crawler') ## 添加参数
  75. parser.add_argument('--topic_name') ## 添加参数
  76. parser.add_argument('--group_id') ## 添加参数
  77. parser.add_argument('--env') ## 添加参数
  78. args = parser.parse_args() ### 参数赋值,也可以通过终端赋值
  79. main(log_type=args.log_type,
  80. crawler=args.crawler,
  81. topic_name=args.topic_name,
  82. group_id=args.group_id,
  83. env=args.env)