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@@ -0,0 +1,169 @@
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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 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.proxies import tunnel_proxies
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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 TTJFFQRecommend(object):
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+ """
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+ 福气矩阵-天天聚福气
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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_recommend_list(self):
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+ if self.expire_flag:
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+ self.aliyun_log.logging(
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+ code="2000",
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+ message="本轮已经抓取到足够的数据,自动退出\t{}".format(self.download_cnt),
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+ )
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+ return
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+ """
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+ 获取推荐页视频
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+ """
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+ headers = {
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+ 'Host': 'api.xinghetime.com',
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+ 'xweb_xhr': '1',
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+ 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36 MicroMessenger/6.8.0(0x16080000) NetType/WIFI MiniProgramEnv/Mac MacWechat/WMPF MacWechat/3.8.6(0x13080610) XWEB/1156',
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+ 'content-type': 'application/json',
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+ 'accept': '*/*',
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+ 'sec-fetch-site': 'cross-site',
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+ 'sec-fetch-mode': 'cors',
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+ 'sec-fetch-dest': 'empty',
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+ 'referer': 'https://servicewechat.com/wxa12a841184757478/7/page-frame.html',
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+ 'accept-language': 'zh-CN,zh;q=0.9'
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+ }
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+ while True:
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+ time.sleep(random.randint(1, 10))
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+ url = "https://api.xinghetime.com/luckvideo/video/getRecommendVideos"
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+ payload = json.dumps({
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+ "baseParam": {
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+ "mid": "openid_oeBeO4lCgcJCey9JEJm9ZHPnOln8",
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+ "pageSource": "video-home",
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+ "appType": 2
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+ },
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+ "bizParam": {
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+ "pageSize": 10
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+ }
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+ })
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+
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+ response = requests.request("POST", url, headers=headers, data=payload, proxies=tunnel_proxies())
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+ for index, video_obj in enumerate(response.json()['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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+ 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,第{}条报错原因是{}".format(
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+ 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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+ play_str = video_obj["playCountFormat"]
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+ play_cnt = int(play_str.replace("+", "").replace("次播放", ""))
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+ item = VideoItem()
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+ item.add_video_info("video_id", video_obj["videoId"])
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+ item.add_video_info("video_title", video_obj["title"])
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+ item.add_video_info("play_cnt", play_cnt)
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+ item.add_video_info("publish_time_stamp", int(time.time()))
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+ item.add_video_info("out_user_id", video_obj["videoId"])
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+ item.add_video_info("cover_url", video_obj["coverImagePath"])
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+ item.add_video_info("like_cnt", 0)
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+ item.add_video_info("video_url", video_obj["videoPath"])
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+ item.add_video_info("out_video_id", video_obj["videoId"])
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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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+ # 获取当前时间
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+ current_time = datetime.now()
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+ formatted_time = current_time.strftime("%Y-%m-%d %H:%M:%S")
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+ values = [[
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+ video_obj["videoId"],
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+ formatted_time,
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+ video_obj["title"],
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+ video_obj["coverImagePath"],
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+ video_obj["videoPath"],
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+ play_cnt
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+ ]]
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+ Feishu.insert_columns(self.platform, 'fuxiaoshun', "MZrtFR", "ROWS", 1, 2)
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+ time.sleep(0.5)
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+ Feishu.update_values(self.platform, 'fuxiaoshun', "MZrtFR", "A2:Z2", values)
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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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+
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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 = TTJFFQRecommend(
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+ platform="tiantianjufuqi",
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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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