piaoquan_crawler/shipinhao/shipinhao_main/run_sph_recommend.py

# -*- coding: utf-8 -*-
# @Author: wangkun
# @Time: 2023/7/27
import argparse
import random
from mq_http_sdk.mq_client import *
from mq_http_sdk.mq_consumer import *
from mq_http_sdk.mq_exception import MQExceptionBase
sys.path.append(os.getcwd())
from common.common import Common
from common.public import get_consumer, ack_message, task_fun_mq
from common.scheduling_db import MysqlHelper
from shipinhao.shipinhao_recommend.recommend_h5 import RecommendH5
from shipinhao.shipinhao_recommend.shipinhao_recommend import ShipinhaoRecommend


class ShipinhaoRecommendMain:
    @classmethod
    def shipinhao_recommend_main(cls, log_type, crawler, topic_name, group_id, env):
        consumer = get_consumer(topic_name, group_id)
        # 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。
        # 长轮询时间3秒（最多可设置为30秒）。
        wait_seconds = 30
        # 一次最多消费3条（最多可设置为16条）。
        batch = 1
        Common.logger(log_type, crawler).info(f'{10 * "="}Consume And Ack Message From Topic{10 * "="}\n'
                                              f'WaitSeconds:{wait_seconds}\n'
                                              f'TopicName:{topic_name}\n'
                                              f'MQConsumer:{group_id}')
        Common.logging(log_type, crawler, env, f'{10 * "="}Consume And Ack Message From Topic{10 * "="}\n'
                                               f'WaitSeconds:{wait_seconds}\n'
                                               f'TopicName:{topic_name}\n'
                                               f'MQConsumer:{group_id}')
        while True:
            try:
                # 长轮询消费消息。
                recv_msgs = consumer.consume_message(batch, wait_seconds)
                for msg in recv_msgs:
                    Common.logger(log_type, crawler).info(f"Receive\n"
                                                          f"MessageId:{msg.message_id}\n"
                                                          f"MessageBodyMD5:{msg.message_body_md5}\n"
                                                          f"MessageTag:{msg.message_tag}\n"
                                                          f"ConsumedTimes:{msg.consumed_times}\n"
                                                          f"PublishTime:{msg.publish_time}\n"
                                                          f"Body:{msg.message_body}\n"
                                                          f"NextConsumeTime:{msg.next_consume_time}\n"
                                                          f"ReceiptHandle:{msg.receipt_handle}\n"
                                                          f"Properties:{msg.properties}")
                    Common.logging(log_type, crawler, env, f"Receive\n"
                                                           f"MessageId:{msg.message_id}\n"
                                                           f"MessageBodyMD5:{msg.message_body_md5}\n"
                                                           f"MessageTag:{msg.message_tag}\n"
                                                           f"ConsumedTimes:{msg.consumed_times}\n"
                                                           f"PublishTime:{msg.publish_time}\n"
                                                           f"Body:{msg.message_body}\n"
                                                           f"NextConsumeTime:{msg.next_consume_time}\n"
                                                           f"ReceiptHandle:{msg.receipt_handle}\n"
                                                           f"Properties:{msg.properties}")
                    # ack_mq_message
                    ack_message(log_type=log_type, crawler=crawler, recv_msgs=recv_msgs, consumer=consumer)

                    # 处理爬虫业务
                    task_dict = task_fun_mq(msg.message_body)['task_dict']
                    rule_dict = task_fun_mq(msg.message_body)['rule_dict']
                    task_id = task_dict['id']
                    select_user_sql = f"""select * from crawler_user_v3 where task_id={task_id}"""
                    user_list = MysqlHelper.get_values(log_type, crawler, select_user_sql, env, action="")
                    our_uid_list = []
                    for user in user_list:
                        our_uid_list.append(user["uid"])
                    our_uid = random.choice(our_uid_list)
                    Common.logger(log_type, crawler).info(f"调度任务:{task_dict}")
                    Common.logging(log_type, crawler, env, f"调度任务:{task_dict}")
                    Common.logger(log_type, crawler).info(f"抓取规则:{rule_dict}")
                    Common.logging(log_type, crawler, env, f"抓取规则:{rule_dict}")
                    Common.logger(log_type, crawler).info(f"用户列表:{user_list}\n")
                    Common.logging(log_type, crawler, env, f"用户列表:{user_list}\n")
                    Common.logger(log_type, crawler).info(f'开始抓取:{task_dict["taskName"]}\n')
                    Common.logging(log_type, crawler, env, f'开始抓取:{task_dict["taskName"]}\n')

                    # 每轮扫描视频数
                    scan_count = 20
                    # 抓取符合规则的视频列表
                    ShipinhaoRecommend.get_recommend_list(log_type=log_type,
                                                          crawler=crawler,
                                                          rule_dict=rule_dict,
                                                          scan_count=scan_count,
                                                          env=env)
                    # 抓取符合规则视频的 URL，并发送 MQ 消息给 ETL
                    RecommendH5.download_videos(log_type=log_type,
                                                crawler=crawler,
                                                env=env,
                                                rule_dict=rule_dict,
                                                our_uid=our_uid)
                    ShipinhaoRecommend.download_video_list = []
                    Common.logger(log_type, crawler).info('抓取一轮结束\n')
                    Common.logging(log_type, crawler, env, '抓取一轮结束\n')

            except MQExceptionBase as err:
                # Topic中没有消息可消费。
                if err.type == "MessageNotExist":
                    Common.logger(log_type, crawler).info(f"No new message! RequestId:{err.req_id}\n")
                    Common.logging(log_type, crawler, env, f"No new message! RequestId:{err.req_id}\n")
                    continue

                Common.logger(log_type, crawler).info(f"Consume Message Fail! Exception:{err}\n")
                Common.logging(log_type, crawler, env, f"Consume Message Fail! Exception:{err}\n")
                time.sleep(2)
                continue


if __name__ == "__main__":
    parser = argparse.ArgumentParser()  ## 新建参数解释器对象
    parser.add_argument('--log_type', type=str)  ## 添加参数,注明参数类型
    parser.add_argument('--crawler')  ## 添加参数
    parser.add_argument('--topic_name')  ## 添加参数
    parser.add_argument('--group_id')  ## 添加参数
    parser.add_argument('--env')  ## 添加参数
    args = parser.parse_args()  ### 参数赋值，也可以通过终端赋值
    ShipinhaoRecommendMain.shipinhao_recommend_main(log_type=args.log_type,
                                                    crawler=args.crawler,
                                                    topic_name=args.topic_name,
                                                    group_id=args.group_id,
                                                    env=args.env)