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- import os
- import sys
- import asyncio
- import json
- import random
- import uuid
- import time
- import traceback
- from datetime import datetime
- import aiohttp
- sys.path.append(os.getcwd())
- from application.common.feishu import FsData
- from application.common.feishu.feishu_utils import FeishuUtils
- from application.common.gpt import GPT4oMini
- from application.common.messageQueue import MQ
- from application.common.log import AliyunLogger
- from application.functions.zqkd_db_redis import DatabaseOperations, RedisOperations
- from application.items import VideoItem
- from application.pipeline import PiaoQuanPipeline
- from application.common.log import Local
- class ZhongQingKanDianAuthor:
- API_BASE_URL = "http://8.217.192.46:8889"
- COMMON_HEADERS = {
- "Content-Type": "application/json"
- }
- # 最大重试次数
- MAX_RETRIES = 3
- # 最大等待时长
- TIMEOUT = 30
- def __init__(self, platform, mode, rule_dict, user_list, env="prod"):
- """
- 初始化
- :param platform: 平台名称 zhongqingkandian
- :param mode: 运行模式 recommend
- :param rule_dict: 规则字典,包含视频数量限制、时长限制等规则 [{"videos_cnt":{"min":100,"max":0}},{"duration":{"min":30,"max":1200}}]
- :param user_list: 用户列表
- :param env: 运行环境,默认为 "prod"
- """
- self.limit_flag = True
- self.platform = platform
- self.mode = mode
- self.rule_dict = rule_dict
- self.user_list = user_list
- self.env = env
- self.download_cnt = 0
- self.mq = MQ(topic_name="topic_crawler_etl_" + self.env)
- self.expire_flag = False
- self.aliyun_log = AliyunLogger(mode=self.mode, platform=self.platform)
- self.db_ops = DatabaseOperations(mode=mode, platform=platform)
- self.redis_ops = RedisOperations(mode=mode, platform=platform)
- data_rule = FsData()
- self.title_rule = data_rule.get_title_rule()
- self.LocalLog = Local.logger(self.platform, self.mode)
- self.curses = 1
- result = self.redis_ops.get_last_scanned_id()
- self.last_scanned_id = 0 if result is None else int(result)
- self.zqkd_user_list = self.db_ops.select_user(self.last_scanned_id)
- self.LocalLog.info(f"获取到的用户列表:{self.zqkd_user_list} \n 昨天最后扫描的用户ID{self.last_scanned_id}")
- async def send_request(self, path, data):
- """
- 异步发送 POST 请求到指定路径,带有重试机制。
- :param path: 请求的 API 路径
- :param data: 请求的数据
- :return: 响应的 JSON 数据,如果请求失败则返回 None
- """
- full_url = f"{self.API_BASE_URL}{path}"
- async with aiohttp.ClientSession(headers=self.COMMON_HEADERS) as session:
- for retry in range(self.MAX_RETRIES):
- try:
- async with session.post(full_url, data=data, timeout=self.TIMEOUT) as response:
- response.raise_for_status()
- self.LocalLog.info(f"{path}响应数据:{await response.json()}")
- return await response.json()
- except (aiohttp.ClientError, json.JSONDecodeError) as e:
- tb_info = traceback.format_exc()
- self.LocalLog.info(f"{path}请求失败:{e} \n{tb_info}")
- self.aliyun_log.logging(
- code="3000",
- message=f"请求 {path} 失败,错误信息: {str(e)}",
- data={"path": path}
- )
- await asyncio.sleep(5)
- return None
- def is_response_valid(self, resp, url):
- """
- 检查响应是否有效(状态码为 0 表示有效)。
- :param resp: 响应数据
- :param url: 请求的 URL
- :return: 如果响应有效则返回响应数据,否则返回 None
- """
- try:
- if resp and resp.get('code') != 0:
- self.aliyun_log.logging(
- code="3000",
- message=f"抓取{url}失败,请求失败,响应:{resp}"
- )
- self.LocalLog.info(f"{url}请求失败,响应:{resp}")
- return None
- return resp
- except Exception as e:
- tb_info = traceback.format_exc()
- self.aliyun_log.logging(
- code="3000",
- message=f"检查响应有效性时出错,错误信息: {str(e)}",
- data={"url": url, "resp": resp}
- )
- self.LocalLog.info(f"检查 {url} 响应有效性时出错:{e} \n{tb_info}")
- return None
- async def req_user_list(self, account_id):
- """
- 异步请求与指定内容 ID 相关的推荐列表。
- :param
- :return: 相关推荐视频列表的有效响应数据,如果请求失败则返回 None
- """
- try:
- url = '/crawler/zhong_qing_kan_dian/blogger'
- body = json.dumps({
- "account_id": f"{account_id}",
- "content_type": "全部",
- "cursor": f"{self.curses}"
- })
- self.LocalLog.info(f"开始请求用户视频列表{body}")
- resp = await self.send_request(url, body)
- return self.is_response_valid(resp, url)
- except Exception as e:
- tb_info = traceback.format_exc()
- self.aliyun_log.logging(
- code="1004",
- message=f"请求相关推荐视频列表时发生异常,错误信息: {str(e)}",
- data={"url": url}
- )
- self.LocalLog.info(f"请求相关推荐视频列表 {url} 时发生异常:{e} \n{tb_info}")
- return None
- async def req_detail(self, content_link, **kwargs):
- """
- 异步请求视频详情。
- :param content_link: 视频内容链接
- :param kwargs: 额外的视频信息
- :return: 无返回值,处理视频详情信息
- """
- try:
- self.LocalLog.info(f"开始请求视频详情,链接: {content_link}")
- url = '/crawler/zhong_qing_kan_dian/detail'
- body = json.dumps({
- "content_link": content_link
- })
- resp = await self.send_request(url, body)
- if not self.is_response_valid(resp, url):
- return
- data = resp.get("data", {}).get("data", {})
- if data.get("content_type") != "video":
- self.aliyun_log.logging(
- code="3003",
- message=f"跳过非视频内容",
- data={"content_link": content_link}
- )
- self.LocalLog.info(f"跳过非视频内容,链接: {content_link}")
- return
- self.LocalLog.info(f"{content_link} 是视频")
- data.update(kwargs)
- await self.process_video_obj(data)
- await asyncio.sleep(10)
- except Exception as e:
- tb_info = traceback.format_exc()
- self.aliyun_log.logging(
- code="1005",
- message=f"请求视频详情时发生异常,错误信息: {str(e)}",
- data={"content_link": content_link}
- )
- self.LocalLog.error(f"请求视频详情,链接 {content_link} 时发生异常:{e} \n{tb_info}")
- async def control_request_author(self):
- """
- 控制相关推荐视频列表的请求和处理流程。
- :return: 无返回值,根据下载数量限制控制流程
- """
- while self.limit_flag:
- try:
- self.LocalLog.info(f"开始用户视频列表的请求和处理流程,今日已爬 {self.download_cnt} 个视频")
- if not self.zqkd_user_list:
- self.LocalLog.info("没有用户数据")
- await asyncio.sleep(10)
- continue
- for user_info in self.zqkd_user_list:
- current_id, user_id = user_info
- author_resp = await self.req_user_list(user_id)
- if current_id > self.last_scanned_id:
- self.last_scanned_id = current_id
- if not author_resp:
- continue
- author_data = author_resp.get("data", {}).get("data", [])
- if not author_data["next_cursor"]:
- continue
- for author_obj in author_data:
- author_content_link = author_obj.get("share_url")
- if author_content_link:
- await self.req_detail(author_content_link, **author_obj)
- except Exception as e:
- tb_info = traceback.format_exc()
- self.aliyun_log.logging(
- code="3009",
- message=f"控制相关推荐视频请求和处理时发生异常,错误信息: {str(e)}",
- data={}
- )
- self.LocalLog.info(f"控制相关推荐视频请求和处理时发生异常:\n{tb_info}")
- async def process_video_obj(self, video_obj):
- """
- 处理视频对象,包括检查视频时长、用户信息、保存数据等操作。
- :param video_obj: 视频对象,包含视频的各种信息
- :return: 无返回值,完成视频对象的处理
- """
- try:
- video_duration = video_obj["video_url_list"][0]['video_duration']
- video_id = video_obj['channel_content_id']
- # 检查视频ID是否存在
- if self.redis_ops.check_video_id_exists(video_id):
- self.aliyun_log.logging(
- code="3004",
- message=f"重复视频ID:{video_id}"
- )
- self.LocalLog.info(f"重复视频ID: {video_id}")
- return
- our_user = random.choice(self.user_list)
- trace_id = self.platform + str(uuid.uuid1())
- item = VideoItem()
- account_id = video_obj["channel_account_id"]
- account_name = video_obj["channel_account_name"]
- account_avatar = video_obj["avatar"]
- # # 检查用户ID是否存在
- # """
- # 需要改为判断redis
- # """
- # is_repeat_user = self.db_ops.check_user_id(account_id)
- # if is_repeat_user:
- # # 更新用户信息,使用异步方法并等待结果
- # self.LocalLog.info(f"用户{account_id}已经存在数据库中")
- # self.db_ops.update_user(account_id, account_name, account_avatar)
- # else:
- # self.LocalLog.info(f"用户{account_id}没在数据库中")
- # # 插入用户信息,使用异步方法并等待结果
- # self.db_ops.insert_user(account_id, account_name, account_avatar)
- # self.redis_ops.add_user_data("task:zqkd_user_id", json.dumps({"uid": account_id}))
- # self.aliyun_log.logging(code="1007", message=f"用户数据写入成功,用户ID:{account_id}")
- # self.LocalLog.info(f"用户数据写入成功,用户ID: {account_id}")
- if video_duration > self.rule_dict.get("duration", {}).get("max",
- 1200) or video_duration < self.rule_dict.get(
- "duration", {}).get("min", 30):
- self.aliyun_log.logging(
- code="3005",
- message=f"视频时长不满足条件[>=30s&<=1200s]视频ID:{video_obj['channel_content_id']},视频时长:{video_duration}"
- )
- self.LocalLog.info(
- f"视频时长不满足条件,视频ID: {video_obj['channel_content_id']}, 视频时长: {video_duration}")
- return
- item.add_video_info("video_id", video_obj['channel_content_id'])
- item.add_video_info("video_title", video_obj["title"])
- item.add_video_info("play_cnt", video_obj["read_num"])
- item.add_video_info("publish_time_stamp", int(int(video_obj["publish_timestamp"]) / 1000))
- item.add_video_info("out_user_id", video_obj["channel_account_id"])
- item.add_video_info("cover_url", video_obj["image_url_list"][0]['image_url'])
- item.add_video_info("like_cnt", 0)
- item.add_video_info("collection_cnt", 0)
- item.add_video_info("share_cnt", 0)
- item.add_video_info("comment_cnt", 0)
- item.add_video_info("video_url", video_obj["video_url_list"][0]['video_url'])
- item.add_video_info("out_video_id", int(video_obj["channel_content_id"]))
- item.add_video_info("duration", video_obj["video_url_list"][0]['video_duration'])
- item.add_video_info("platform", self.platform)
- item.add_video_info("strategy", self.mode)
- item.add_video_info("session", f"{self.platform}-{int(time.time())}")
- item.add_video_info("user_id", our_user["uid"])
- item.add_video_info("user_name", our_user["nick_name"])
- mq_obj = item.produce_item()
- pipeline = PiaoQuanPipeline(
- 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():
- title_list = self.title_rule.split(",")
- title = video_obj["title"]
- contains_keyword = any(keyword in title for keyword in title_list)
- if contains_keyword:
- new_title = GPT4oMini.get_ai_mini_title(title)
- if new_title:
- item.add_video_info("video_title", new_title)
- current_time = datetime.now()
- formatted_time = current_time.strftime("%Y-%m-%d %H:%M:%S")
- values = [
- [
- video_obj["video_url_list"][0]['video_url'],
- video_obj["image_url_list"][0]['image_url'],
- title,
- new_title,
- formatted_time,
- ]
- ]
- FeishuUtils.insert_columns("U5dXsSlPOhiNNCtEfgqcm1iYnpf", "v8S6nL", "ROWS", 1, 2)
- time.sleep(0.5)
- FeishuUtils.update_values("U5dXsSlPOhiNNCtEfgqcm1iYnpf", "v8S6nL", "A2:Z2", values)
- self.download_cnt += 1
- self.mq.send_msg(mq_obj)
- # 保存视频ID
- self.redis_ops.save_video_id(video_obj['channel_content_id'])
- if self.download_cnt >= self.rule_dict.get("videos_cnt", {}).get("min", 300):
- # 记录轮训到的用户id
- self.redis_ops.set_last_scanned_id(self.last_scanned_id)
- self.limit_flag = False
- else:
- self.redis_ops.set_last_scanned_id(0)
- self.curses += 1
- except Exception as e:
- tb_info = traceback.format_exc()
- self.aliyun_log.logging(
- code="1005",
- message=f"处理视频对象时发生异常,错误信息: {str(e)}",
- data={"video_obj": video_obj}
- )
- self.LocalLog.error(f"处理视频对象时发生异常: {e}\n{tb_info}")
- async def run(self):
- """
- 运行主流程,异步执行推荐视频和相关推荐视频的请求,直到达到下载数量限制。
- :return: 无返回值,程序运行的主逻辑
- """
- self.LocalLog.info("开始执行中青看点用户视频抓取...")
- await asyncio.gather(
- self.control_request_author()
- )
- if __name__ == '__main__':
- asyncio.run(ZhongQingKanDianAuthor(
- platform="zhongqingkandian",
- mode="author",
- rule_dict={"videos_cnt": {"min": 2, "max": 0}},
- user_list=[{"uid": 81525568, "link": "中青看点推荐", "nick_name": "芸芸众生"}]
- ).run())
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