import os import json import random import sys import time import uuid import requests sys.path.append(os.getcwd()) from common.video_item import VideoItem from common import tunnel_proxies from common.pipeline import PiaoQuanPipelineTest class YiQiFengFaRecommend(object): def __init__(self, platform, mode, rule_dict, user_list, env): self.platform = platform self.mode = mode self.rule_dict = rule_dict self.user_list = user_list self.env = env self.download_cnt = 0 self.limit_flag = False def get_video_list(self, token): """ 推荐流大约110条数据,目前暂时不会更新 """ headers = { 'Host': 'api.xiahong.top', 'ik': 'b326b5062b2f0e69046810717534cb09', 'xweb_xhr': '1', '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/3.8.5(0x13080510)XWEB/1100', 'token': token, 'Content-Type': 'application/json', 'Accept': '*/*', 'Sec-Fetch-Site': 'cross-site', 'Sec-Fetch-Mode': 'cors', 'Sec-Fetch-Dest': 'empty', 'Referer': 'https://servicewechat.com/wxe5389a260a0a4ee2/2/page-frame.html', 'Accept-Language': 'en-US,en;q=0.9', } while True: time.sleep(random.randint(1, 10)) try: if self.limit_flag: message = "本轮已经抓取到足够的数据,自动退出\t{}".format(self.download_cnt) print(message) return else: params = { 's': 'mobile/Video/getList', 'cid': '1', 'page': '11', 'api_version': '4', 'appid': 'wxe5389a260a0a4ee2', 'version': '1.9.1', 'env_version': 'release', 'scene': '1089' } response = requests.get('https://api.xiahong.top/index.php', headers=headers, params=params, proxies=tunnel_proxies()) video_list = response.json()['data']['list'] if video_list: for index, video_obj in enumerate(video_list, 1): try: print("扫描到一条视频") self.process_video_obj(video_obj) except Exception as e: print("抓取第{}条的时候出现问题, 报错信息是{}".format(index, e)) else: print("已经抓完了,自动退出") return except Exception as e: print("抓取推荐页的时候出现错误, 报错信息是{}".format(e)) def process_video_obj(self, video_obj): obj = { "id": 224708, "title": "🔴这个女博士的遭遇❗️让人心疼,群友们都看看吧!", "images": "http://pic.weitunit.com/ca/a9/caa9007f30a99b6b427e1f3664fe527b.jpg", "video_url": "https://api-hl.huoshan.com/hotsoon/item/video/_source/?video_id=v0200fg10000clhclejc77u23q1m9ojg&line=0&app_id=0&vquality=normal&watermark=0&long_video=0&sf=4&ts=1702261882&item_id=7305624354258275638", "out_link_id": "", "type": 0, "share_title": "🔴这个女博士的遭遇❗️让人心疼,群友们都看看吧!", "image_breathing": False, "video_cover": "https://mmbiz.qpic.cn/sz_mmbiz_png/enW3mhIB3IULz7uuISC8VTFZvc6F86PdUpo9ZAdo0UfyBmFPic6l7zoXpKKWU2Dt0Vf2Q8XV9jKkX63yP20G0CA/640?wx_fmt=png&from=appmsg", "end_title": "❤️请帮忙转发各大群里!拜托大家!🙏", "end_cover": "https://mmbiz.qpic.cn/sz_mmbiz_png/enW3mhIB3IULz7uuISC8VTFZvc6F86PdCVQYE2xgQ9qyjLL43ib6aQ4EaFdFruicY79WUiapcxQK5a955sqia50KFA/640?wx_fmt=png&from=appmsg", "author_nickname": "", "author_picture": "", "prompt_type": "", "display_image": "https://mmbiz.qpic.cn/mmbiz_gif/NlUgcycicAT2CehvYKTx4YCTGSMJ8XFRXIQCwX1q6ibG9TprFAGicHre6aicHxQ1qxW0wzUgW5lmRDQDxPdyJNZxag/0?wx_fmt=gif", "share_image": "http://pic.weitunit.com/ca/a9/caa9007f30a99b6b427e1f3664fe527b.jpg?x-oss-process=image/resize,m_fill,w_400,h_320,limit_0/watermark,image_bmV3X3dhdGVybWFyay5wbmc_eC1vc3MtcHJvY2Vzcz1pbWFnZS9yZXNpemUsUF81MA,g_center/watermark,image_dmlld3MucG5nP3gtb3NzLXByb2Nlc3M9aW1hZ2UvcmVzaXplLFBfNDA,g_sw,x_10,y_10/quality,Q_70", "click_jump_path_index": "/pages/index/index?videoId=224708&from=video", "share_jump_path_index": "/pages/index/index?videoId=224708&from=video", "visited": 8376085, "shared": 1159920, "share_vid": 224708 } trace_id = self.platform + str(uuid.uuid1()) our_user = random.choice(self.user_list) item = VideoItem() item.add_video_info("user_id", our_user["uid"]) item.add_video_info("user_name", our_user["nick_name"]) item.add_video_info("video_id", video_obj["id"]) item.add_video_info("video_title", video_obj["title"]) item.add_video_info("video_url", video_obj['video_url']) item.add_video_info("cover_url", video_obj["video_cover"]) item.add_video_info("play_cnt", video_obj['visited']) item.add_video_info("share_cnt", video_obj['shared']) item.add_video_info("out_video_id", video_obj["id"]) item.add_video_info("platform", self.platform) item.add_video_info("strategy", self.mode) item.add_video_info("session", "{}-{}".format(self.platform, int(time.time()))) mq_obj = item.produce_item() pipeline = PiaoQuanPipelineTest( platform=self.platform, mode=self.mode, rule_dict=self.rule_dict, env=self.env, item=mq_obj, trace_id=trace_id, ) if pipeline.process_item(): self.download_cnt += 1 # self.mq.send_msg(mq_obj) print(mq_obj) print("成功发送至 ETL") if self.download_cnt >= int( self.rule_dict.get("videos_cnt", {}).get("min", 200) ): self.limit_flag = True if __name__ == '__main__': S = YiQiFengFaRecommend( platform="zhufuyiqifengfa", mode="recommend", env="dev", rule_dict={}, user_list=[{'nick_name': "Ivring", 'uid': "1997"}, {'nick_name': "paul", 'uid': "1998"}] ) token = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE3MDIyNjIzMjUsIm5iZiI6MTcwMjI2MjMyNSwiZXhwIjoxNzAyMjY5NTI1LCJkYXRhIjp7InVzZXJfaWQiOjIzOTI0Nzc0MH19.LKxtz3OKw4ADlcLwU2sWMB5AJ5__aPNdVGqtRuk1ps4" S.get_video_list(token)