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@@ -0,0 +1,157 @@
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+import os
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+import random
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+import sys
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+import time
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+import uuid
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+import json
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+
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+from datetime import datetime
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+
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+import cv2
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+import requests
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+
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+from application.common import Feishu
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+
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+sys.path.append(os.getcwd())
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+
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+from application.items import VideoItem
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+from application.pipeline import PiaoQuanPipeline
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+from application.common.messageQueue import MQ
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+from application.common.log import AliyunLogger
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+from application.common.mysql import MysqlHelper
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+
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+
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+
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+class BSZHRecommend(object):
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+
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+ """
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+ 本山祝福推荐流
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+ """
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+
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+ def __init__(self, platform, mode, rule_dict, user_list, env="prod"):
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+ self.limit_flag = False
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+ self.platform = platform
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+ self.mode = mode
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+ self.rule_dict = rule_dict
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+ self.user_list = user_list
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+ self.env = env
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+ self.download_cnt = 0
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+ self.mq = MQ(topic_name="topic_crawler_etl_" + self.env)
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+ self.expire_flag = False
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+ self.aliyun_log = AliyunLogger(mode=self.mode, platform=self.platform)
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+ self.mysql = MysqlHelper(mode=self.mode, platform=self)
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+
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+ def get_video_duration(self, video_link: str) -> int:
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+ cap = cv2.VideoCapture(video_link)
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+ if cap.isOpened():
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+ rate = cap.get(5)
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+ frame_num = cap.get(7)
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+ duration = int(frame_num / rate)
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+ return duration
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+ return 0
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+
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+ def get_recommend_list(self):
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+ print("本山祝福开始")
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+
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+ """
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+ 获取推荐页视频
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+ """
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+ url = "http://47.236.68.175:8889/crawler/ben_shan_zhu_fu/recommend"
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+ next_cursor = 1
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+ for i in range(5):
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+ payload = json.dumps({
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+ "cursor": f"{next_cursor}"
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+ })
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+ headers = {
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+ 'Content-Type': 'application/json'
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+ }
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+ for i in range(3):
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+ response = requests.request("POST", url, headers=headers, data=payload)
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+ response = response.json()
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+ if response['code'] != 0:
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+ time.sleep(2)
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+ continue
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+ else:
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+ break
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+ if response['code'] != 0:
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+ self.aliyun_log.logging(
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+ code="3000",
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+ message="抓取单条视频失败,请求失败"
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+ ),
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+ return
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+ for index, video_obj in enumerate(response['data']['data'], 1):
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+ try:
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+ self.aliyun_log.logging(
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+ code="1001", message="扫描到一条视频", data=video_obj
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+ )
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+ next_cursor = response['data']['next_cursor']
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+ self.process_video_obj(video_obj)
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+ except Exception as e:
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+ self.aliyun_log.logging(
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+ code="3000",
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+ message="抓取单条视频失败, 该视频位于第{}页第{}条报错原因是{}".format(
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+ 1, index, e
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+ ),
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+ )
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+ if self.limit_flag:
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+ return
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+ time.sleep(random.randint(5, 10))
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+
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+ def process_video_obj(self, video_obj):
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+ """
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+ 处理视频
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+ :param video_obj:
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+ """
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+ time.sleep(random.randint(3, 8))
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+ trace_id = self.platform + str(uuid.uuid1())
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+ our_user = random.choice(self.user_list)
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+ item = VideoItem()
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+ # id = uuid.uuid4()
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+ item.add_video_info("video_id", video_obj["nid"])
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+ item.add_video_info("video_title", video_obj["title"])
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+ item.add_video_info("play_cnt", 0)
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+ item.add_video_info("publish_time_stamp", int(video_obj["update_time"]))
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+ item.add_video_info("out_user_id", video_obj["nid"])
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+ item.add_video_info("cover_url", video_obj["video_cover"])
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+ item.add_video_info("like_cnt", 0)
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+ item.add_video_info("video_url", video_obj["video_url"])
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+ item.add_video_info("out_video_id", video_obj["nid"])
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+ item.add_video_info("platform", self.platform)
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+ item.add_video_info("strategy", self.mode)
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+ item.add_video_info("session", "{}-{}".format(self.platform, int(time.time())))
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+ item.add_video_info("user_id", our_user["uid"])
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+ item.add_video_info("user_name", our_user["nick_name"])
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+ mq_obj = item.produce_item()
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+ pipeline = PiaoQuanPipeline(
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+ platform=self.platform,
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+ mode=self.mode,
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+ rule_dict=self.rule_dict,
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+ env=self.env,
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+ item=mq_obj,
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+ trace_id=trace_id,
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+ )
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+ if pipeline.process_item():
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+ self.download_cnt += 1
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+ self.mq.send_msg(mq_obj)
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+ self.aliyun_log.logging(code="1002", message="成功发送至 ETL", data=mq_obj)
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+ if self.download_cnt >= int(
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+ self.rule_dict.get("videos_cnt", {}).get("min", 200)
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+ ):
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+ self.limit_flag = True
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+
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+
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+
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+ def run(self):
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+ self.get_recommend_list()
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+
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+
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+if __name__ == '__main__':
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+ J = BSZHRecommend(
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+ platform="benshanzhufu",
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+ mode="recommend",
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+ rule_dict={},
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+ user_list=[{'uid': "123456", 'nick_name': "xiaoxiao"}],
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+
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+ )
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+ J.get_recommend_list()
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+ # J.logic()
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