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136
backend/Timer_worker.py
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@ -22,7 +22,8 @@ import sys
import os import os
import logging import logging
import argparse import argparse
from datetime import datetime, date, timedelta from pathlib import Path
from datetime import datetime, date
import config import config
# 添加项目路径到 Python 路径 # 添加项目路径到 Python 路径
@ -32,77 +33,36 @@ from handlers.Rankings.rank_data_scraper import DouyinPlayVVScraper
# 配置日志的函数 # 配置日志的函数
def setup_logging(quiet_mode=False): def setup_logging():
"""设置日志配置""" """设置日志配置"""
# 确保logs目录存在 # 确保logs目录存在
import os
script_dir = os.path.dirname(os.path.abspath(__file__)) script_dir = os.path.dirname(os.path.abspath(__file__))
logs_dir = os.path.join(script_dir, 'handlers', 'Rankings', 'logs') logs_dir = os.path.join(script_dir, 'handlers', 'Rankings', 'logs')
os.makedirs(logs_dir, exist_ok=True) os.makedirs(logs_dir, exist_ok=True)
# 在安静模式下，只记录WARNING及以上级别的日志到控制台
console_level = logging.WARNING if quiet_mode else logging.INFO
logging.basicConfig( logging.basicConfig(
level=logging.INFO, # 文件日志仍然记录所有INFO级别 level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s', format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[ handlers=[
logging.FileHandler(os.path.join(logs_dir, 'scheduler.log'), encoding='utf-8'), logging.FileHandler(os.path.join(logs_dir, 'scheduler.log'), encoding='utf-8'),
logging.StreamHandler() logging.StreamHandler()
] ]
) )
# 如果是安静模式，调整控制台处理器的级别
if quiet_mode:
for handler in logging.getLogger().handlers:
if isinstance(handler, logging.StreamHandler) and not isinstance(handler, logging.FileHandler):
handler.setLevel(console_level)
class DouyinAutoScheduler: class DouyinAutoScheduler:
def __init__(self): def __init__(self):
self.is_running = False self.is_running = False
def _normalize_play_vv(self, play_vv):
"""标准化播放量数据类型，将字符串转换为数字"""
if isinstance(play_vv, str):
try:
return int(play_vv.replace(',', '').replace('万', '0000').replace('亿', '00000000'))
except:
return 0
elif not isinstance(play_vv, (int, float)):
return 0
return play_vv
def _deduplicate_videos_by_mix_name(self, videos, include_rank=False):
"""按短剧名称去重，保留播放量最高的记录"""
unique_data = {}
for video in videos:
mix_name = video.get("mix_name", "")
if mix_name:
# 标准化播放量数据类型
play_vv = self._normalize_play_vv(video.get("play_vv", 0))
if mix_name not in unique_data or play_vv > unique_data[mix_name].get("play_vv", 0):
if include_rank:
# 用于昨天数据的格式
unique_data[mix_name] = {
"play_vv": play_vv,
"video_id": str(video.get("_id", "")),
"rank": 0 # 稍后计算排名
}
else:
# 用于今天数据的格式，直接更新原视频对象
video["play_vv"] = play_vv
unique_data[mix_name] = video
return unique_data
def run_douyin_scraper(self): def run_douyin_scraper(self):
"""执行抖音播放量抓取任务""" """执行抖音播放量抓取任务"""
try: try:
logging.warning("🚀 开始执行抖音播放量抓取任务...") logging.info("🚀 开始执行抖音播放量抓取任务...")
# 设置环境变量，确保自动模式 # 设置环境变量，确保自动模式
os.environ['AUTO_CONTINUE'] = '1' os.environ['AUTO_CONTINUE'] = '1'
# 设置定时器模式环境变量，跳过评论抓取等函数
os.environ['TIMER_MODE'] = '1'
# 直接创建并运行 DouyinPlayVVScraper 实例 # 直接创建并运行 DouyinPlayVVScraper 实例
scraper = DouyinPlayVVScraper( scraper = DouyinPlayVVScraper(
@ -110,10 +70,10 @@ class DouyinAutoScheduler:
auto_continue=True, auto_continue=True,
duration_s=60 duration_s=60
) )
logging.info("📁 开始执行抓取任务...") logging.info("📁 开始执行抓取任务...")
scraper.run() scraper.run()
logging.info("✅ 抖音播放量抓取任务执行成功") logging.info("✅ 抖音播放量抓取任务执行成功")
# 数据抓取完成后，自动生成当日榜单 # 数据抓取完成后，自动生成当日榜单
@ -162,7 +122,7 @@ class DouyinAutoScheduler:
today_videos_raw = list(douyin_collection.find({"batch_time": latest_batch_time}).sort("play_vv", -1)) today_videos_raw = list(douyin_collection.find({"batch_time": latest_batch_time}).sort("play_vv", -1))
logging.info(f"📊 最新批次数据数量: {len(today_videos_raw)}") logging.info(f"📊 最新批次数据数量: {len(today_videos_raw)}")
# 按短剧名称去重，每个短剧只保留播放量最高的一条 # 按短剧名称去重（虽然同一批次应该不会有重复，但为了代码健壮性保留此逻辑）
unique_videos = {} unique_videos = {}
for video in today_videos_raw: for video in today_videos_raw:
mix_name = video.get("mix_name", "") mix_name = video.get("mix_name", "")
@ -173,24 +133,34 @@ class DouyinAutoScheduler:
logging.info(f"📊 今日数据去重后：{len(today_videos)} 个独特短剧（原始数据：{len(today_videos_raw)} 条）") logging.info(f"📊 今日数据去重后：{len(today_videos)} 个独特短剧（原始数据：{len(today_videos_raw)} 条）")
# 获取昨天的榜单数据（如果存在），取最新的计算结果 # 获取昨天最后一批次的数据
yesterday_ranking = rankings_collection.find_one({ yesterday_batch = douyin_collection.find_one({
"date": yesterday_str, "batch_time": {"$regex": f"^{yesterday_str}"}
"type": "comprehensive" }, sort=[("batch_time", -1)])
}, sort=[("calculation_sequence", -1)])
yesterday_data = {} yesterday_data = {}
if yesterday_ranking and "data" in yesterday_ranking: if yesterday_batch:
# 将昨天的数据转换为字典，以短剧名称为键 # 获取昨天最后一批次的所有数据
for item in yesterday_ranking["data"]: yesterday_videos = list(douyin_collection.find({
title = item.get("title", "") "batch_time": yesterday_batch["batch_time"]
if title: }).sort("play_vv", -1))
yesterday_data[title] = {
"rank": item.get("rank", 0), # 按短剧名称去重，保留播放量最高的记录
"play_vv": item.get("play_vv", 0), for video in yesterday_videos:
"video_id": item.get("video_id", "") mix_name = video.get("mix_name", "")
if mix_name and (mix_name not in yesterday_data or video.get("play_vv", 0) > yesterday_data[mix_name].get("play_vv", 0)):
yesterday_data[mix_name] = {
"play_vv": video.get("play_vv", 0),
"video_id": str(video.get("_id", "")),
"rank": 0 # 稍后计算排名
} }
logging.info(f"📊 找到昨天的榜单数据，共 {len(yesterday_data)} 个短剧")
# 计算排名
sorted_videos = sorted(yesterday_data.items(), key=lambda x: x[1]["play_vv"], reverse=True)
for rank, (mix_name, data) in enumerate(sorted_videos, 1):
yesterday_data[mix_name]["rank"] = rank
logging.info(f"📊 找到昨天的原始数据，共 {len(yesterday_data)} 个短剧")
else: else:
logging.info("📊 未找到昨天的原始数据，将作为首次生成") logging.info("📊 未找到昨天的原始数据，将作为首次生成")
@ -367,6 +337,8 @@ class DouyinAutoScheduler:
def main(): def main():
"""主函数""" """主函数"""
import argparse
try: try:
parser = argparse.ArgumentParser(description='抖音播放量自动抓取定时器') parser = argparse.ArgumentParser(description='抖音播放量自动抓取定时器')
parser.add_argument('--test', action='store_true', help='测试模式 - 立即执行一次') parser.add_argument('--test', action='store_true', help='测试模式 - 立即执行一次')
@ -375,51 +347,23 @@ def main():
args = parser.parse_args() args = parser.parse_args()
# 设置日志配置 - 只在定时器模式下启用静默模式 # 设置日志配置
quiet_mode = not (args.test or args.once or args.ranking_only) setup_logging()
setup_logging(quiet_mode=quiet_mode)
print("正在初始化定时器...") print("正在初始化定时器...")
scheduler = DouyinAutoScheduler() scheduler = DouyinAutoScheduler()
if args.test: if args.test:
scheduler._is_timer_mode = False
print("执行测试模式...") print("执行测试模式...")
scheduler.run_test() scheduler.run_test()
elif args.once: elif args.once:
scheduler._is_timer_mode = False
print("执行单次模式...") print("执行单次模式...")
scheduler.run_once() scheduler.run_once()
elif args.ranking_only: elif args.ranking_only:
scheduler._is_timer_mode = False
print("执行榜单生成模式...") print("执行榜单生成模式...")
scheduler.run_ranking_only() scheduler.run_ranking_only()
else: else:
scheduler._is_timer_mode = True
print("启动定时器模式...") print("启动定时器模式...")
# 显示定时器信息（使用print确保能看到）
from datetime import datetime
current_time = datetime.now()
print(f"🕐 当前时间：{current_time.strftime('%Y-%m-%d %H:%M:%S')}")
print(f"⏰ 执行规则：每小时整点执行抖音播放量抓取")
# 计算下次执行时间
next_hour = current_time.replace(minute=0, second=0, microsecond=0)
if current_time.minute > 0 or current_time.second > 0:
next_hour = next_hour.replace(hour=next_hour.hour + 1)
if next_hour.hour >= 24:
from datetime import timedelta
next_hour = next_hour.replace(hour=0) + timedelta(days=1)
wait_seconds = (next_hour - current_time).total_seconds()
wait_minutes = int(wait_seconds // 60)
print(f"⏰ 下次执行时间：{next_hour.strftime('%Y-%m-%d %H:%M:%S')}")
print(f"⏳ 距离下次执行：{wait_minutes} 分钟 ({int(wait_seconds)} 秒)")
print("💡 定时器正在等待中，将在整点自动执行任务...")
print("⏹️ 按 Ctrl+C 停止定时器")
scheduler.setup_schedule() scheduler.setup_schedule()
scheduler.start_scheduler() scheduler.start_scheduler()

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backend/handlers/Rankings/drivers/chromedriver.exe
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backend/handlers/Rankings/episode_video_ids/video_ids_7393206265624676386.json
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],
"total_count": 52,
"last_update": "2025-10-22T09:55:47.709471",
"mix_name": "婉心计"
}

251
backend/handlers/Rankings/episode_video_ids/video_ids_7556193073273784355.json
View File

@ -1,251 +0,0 @@
{
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{
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{
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}

115
backend/handlers/Rankings/episode_video_ids/video_ids_7561020459769153570.json
View File

@ -1,115 +0,0 @@
{
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}

417
backend/handlers/Rankings/rank_data_scraper.py
View File

@ -24,24 +24,16 @@ import os
import shutil import shutil
from datetime import datetime from datetime import datetime
import requests import requests
import base64
import uuid
import sys
import psutil
import random
import threading
import argparse
from concurrent.futures import ThreadPoolExecutor
from selenium import webdriver from selenium import webdriver
import os
from selenium.webdriver.chrome.service import Service from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
# 保留导入但默认不使用webdriver_manager，避免网络下载卡顿 # 保留导入但默认不使用webdriver_manager，避免网络下载卡顿
from webdriver_manager.chrome import ChromeDriverManager # noqa: F401 from webdriver_manager.chrome import ChromeDriverManager # noqa: F401
import chromedriver_autoinstaller
import sys
import os
# 添加项目根目录到 Python 路径 # 添加项目根目录到 Python 路径
sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..')) sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..'))
# 确保能找到backend目录下的模块 # 确保能找到backend目录下的模块
@ -49,10 +41,13 @@ backend_dir = os.path.join(os.path.dirname(__file__), '..', '..')
sys.path.insert(0, backend_dir) sys.path.insert(0, backend_dir)
from database import db from database import db
from tos_client import oss_client from tos_client import oss_client
import uuid
import re
# 配置日志 # 配置日志
# 确保logs目录存在 # 确保logs目录存在
import os
script_dir = os.path.dirname(os.path.abspath(__file__)) script_dir = os.path.dirname(os.path.abspath(__file__))
logs_dir = os.path.join(script_dir, 'logs') logs_dir = os.path.join(script_dir, 'logs')
os.makedirs(logs_dir, exist_ok=True) os.makedirs(logs_dir, exist_ok=True)
@ -78,7 +73,6 @@ class DouyinPlayVVScraper:
self.db = None self.db = None
self.collection = None self.collection = None
self.image_cache = {} # 图片ID到TOS链接的缓存映射 {image_id: tos_url} self.image_cache = {} # 图片ID到TOS链接的缓存映射 {image_id: tos_url}
self.all_collected_comments = [] # 存储所有收集到的评论数据
self._cleanup_old_profiles() self._cleanup_old_profiles()
self._setup_mongodb() self._setup_mongodb()
self._load_image_cache() self._load_image_cache()
@ -164,6 +158,8 @@ class DouyinPlayVVScraper:
def _cleanup_chrome_processes(self): def _cleanup_chrome_processes(self):
"""清理可能占用配置文件的Chrome进程""" """清理可能占用配置文件的Chrome进程"""
try: try:
import subprocess
import psutil
# 获取当前配置文件路径 # 获取当前配置文件路径
script_dir = os.path.dirname(os.path.abspath(__file__)) script_dir = os.path.dirname(os.path.abspath(__file__))
@ -453,6 +449,28 @@ class DouyinPlayVVScraper:
if n >= 10_000: if n >= 10_000:
return f"{n/10_000:.1f}万" return f"{n/10_000:.1f}万"
return str(n) return str(n)
def format_interaction_count(self, n: int) -> str:
"""格式化互动数据数量，返回带单位的字符串
Args:
n: 数量
Returns:
str: 格式化后的字符串，如 27898 -> 2.8W, 1234 -> 1234
"""
if n >= 100_000_000:
result = n / 100_000_000
if result == int(result):
return f"{int(result)}亿"
else:
return f"{result:.1f}亿"
elif n >= 10_000:
result = n / 10_000
if result == int(result):
return f"{int(result)}W"
else:
return f"{result:.1f}W"
else:
return str(n)
@ -1156,7 +1174,9 @@ class DouyinPlayVVScraper:
# 等待页面加载完成 # 等待页面加载完成
try: try:
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
WebDriverWait(self.driver, 10).until( WebDriverWait(self.driver, 10).until(
EC.presence_of_element_located((By.TAG_NAME, "video")) EC.presence_of_element_located((By.TAG_NAME, "video"))
@ -1358,6 +1378,374 @@ class DouyinPlayVVScraper:
return [video['video_id'] for video in cached_videos] return [video['video_id'] for video in cached_videos]
return [] return []
def get_video_details(self, video_id: str, max_comments: int = 20) -> dict:
"""获取单个视频的详细互动数据
Args:
video_id: 视频ID
max_comments: 最大评论数量，默认20条
Returns:
dict: 包含点赞数、收藏数、转发数、评论内容的字典
"""
video_details = {
'video_id': video_id,
'likes': 0,
'shares': 0,
'favorites': 0,
'likes_formatted': '0',
'shares_formatted': '0',
'favorites_formatted': '0',
'comments': [],
'success': False,
'error': None
}
try:
# 确保driver已初始化
if self.driver is None:
logging.info('Driver未初始化，正在设置...')
self.setup_driver()
if self.driver is None:
raise Exception("无法初始化WebDriver")
video_url = f'https://www.douyin.com/video/{video_id}'
logging.info(f'获取视频详细数据: {video_url}')
# 导航到视频页面
self.driver.get(video_url)
time.sleep(3)
# 等待页面加载完成
try:
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
WebDriverWait(self.driver, 10).until(
EC.presence_of_element_located((By.TAG_NAME, "video"))
)
except Exception as e:
logging.warning(f'等待视频元素超时: {e}')
# 获取网络请求日志
logs = self.driver.get_log('performance')
# 解析网络日志获取视频详细数据
for entry in logs:
try:
log = json.loads(entry['message'])['message']
if (
'Network.responseReceived' in log['method']
and 'response' in log['params']
and log['params']['response']
and log['params']['response'].get('url')
):
url = log['params']['response']['url']
# 检查是否是视频详情API
if '/aweme/v1/web/aweme/detail/' in url and video_id in url:
try:
# 获取响应体
response_body = self.driver.execute_cdp_cmd(
'Network.getResponseBody',
{'requestId': log['params']['requestId']}
)
if response_body and 'body' in response_body:
data = json.loads(response_body['body'])
aweme_detail = data.get('aweme_detail', {})
if aweme_detail:
# 获取统计数据
statistics = aweme_detail.get('statistics', {})
video_details['likes'] = int(statistics.get('digg_count', 0))
video_details['shares'] = int(statistics.get('share_count', 0))
video_details['favorites'] = int(statistics.get('collect_count', 0))
# 添加格式化字段
video_details['likes_formatted'] = self.format_interaction_count(video_details['likes'])
video_details['shares_formatted'] = self.format_interaction_count(video_details['shares'])
video_details['favorites_formatted'] = self.format_interaction_count(video_details['favorites'])
logging.info(f'视频 {video_id} 互动数据: 点赞={video_details["likes_formatted"]}, 分享={video_details["shares_formatted"]}, 收藏={video_details["favorites_formatted"]}')
except Exception as e:
logging.warning(f'解析视频详情API响应失败: {e}')
continue
# 检查是否是评论API
elif '/aweme/v1/web/comment/list/' in url and video_id in url:
try:
# 获取响应体
response_body = self.driver.execute_cdp_cmd(
'Network.getResponseBody',
{'requestId': log['params']['requestId']}
)
if response_body and 'body' in response_body:
data = json.loads(response_body['body'])
comments = data.get('comments', [])
for comment in comments[:max_comments]:
comment_info = {
'text': comment.get('text', ''),
'user_name': comment.get('user', {}).get('nickname', ''),
'digg_count': int(comment.get('digg_count', 0)),
'create_time': comment.get('create_time', 0)
}
video_details['comments'].append(comment_info)
logging.info(f'视频 {video_id} 获取到 {len(video_details["comments"])} 条评论')
except Exception as e:
logging.warning(f'解析评论API响应失败: {e}')
continue
except Exception as e:
continue
# 如果网络日志没有获取到数据，尝试页面解析
if video_details['likes'] == 0 and video_details['shares'] == 0 and video_details['favorites'] == 0:
video_details = self._parse_video_details_from_page(video_id, video_details, max_comments)
video_details['success'] = True
return video_details
except Exception as e:
error_msg = f'获取视频 {video_id} 详细数据失败: {e}'
logging.error(error_msg)
video_details['error'] = error_msg
return video_details
def _parse_video_details_from_page(self, video_id: str, video_details: dict, max_comments: int = 20) -> dict:
"""从页面元素解析视频详细数据（备用方案）
Args:
video_id: 视频ID
video_details: 现有的视频详细数据字典
max_comments: 最大评论数量
Returns:
dict: 更新后的视频详细数据字典
"""
try:
logging.info(f'尝试从页面元素解析视频 {video_id} 的详细数据')
# 尝试解析页面中的SSR数据
try:
# 查找包含视频数据的script标签
scripts = self.driver.find_elements("tag name", "script")
for script in scripts:
script_content = script.get_attribute('innerHTML')
if script_content and ('window._SSR_HYDRATED_DATA' in script_content or 'RENDER_DATA' in script_content):
# 提取JSON数据
if 'window._SSR_HYDRATED_DATA' in script_content:
match = re.search(r'window\._SSR_HYDRATED_DATA\s*=\s*({.*?});', script_content, re.DOTALL)
else:
match = re.search(r'window\.RENDER_DATA\s*=\s*({.*?});', script_content, re.DOTALL)
if match:
data = json.loads(match.group(1))
# 查找视频详情数据
def find_video_data(obj, target_id):
if isinstance(obj, dict):
for key, value in obj.items():
if key == 'aweme_id' and str(value) == str(target_id):
return obj
elif isinstance(value, (dict, list)):
result = find_video_data(value, target_id)
if result:
return result
elif isinstance(obj, list):
for item in obj:
result = find_video_data(item, target_id)
if result:
return result
return None
video_data = find_video_data(data, video_id)
if video_data:
statistics = video_data.get('statistics', {})
video_details['likes'] = int(statistics.get('digg_count', 0))
video_details['shares'] = int(statistics.get('share_count', 0))
video_details['favorites'] = int(statistics.get('collect_count', 0))
# 添加格式化字段
video_details['likes_formatted'] = self.format_interaction_count(video_details['likes'])
video_details['shares_formatted'] = self.format_interaction_count(video_details['shares'])
video_details['favorites_formatted'] = self.format_interaction_count(video_details['favorites'])
logging.info(f'从SSR数据解析到视频 {video_id} 互动数据: 点赞={video_details["likes_formatted"]}, 分享={video_details["shares_formatted"]}, 收藏={video_details["favorites_formatted"]}')
break
except Exception as e:
logging.warning(f'解析SSR数据失败: {e}')
# 如果SSR数据解析失败，尝试CSS选择器
if video_details['likes'] == 0 and video_details['shares'] == 0 and video_details['favorites'] == 0:
try:
# 尝试常见的点赞、分享、收藏按钮选择器
selectors = {
'likes': [
'[data-e2e="video-like-count"]',
'[class*="like"] [class*="count"]',
'[class*="digg"] [class*="count"]'
],
'shares': [
'[data-e2e="video-share-count"]',
'[class*="share"] [class*="count"]'
],
'favorites': [
'[data-e2e="video-collect-count"]',
'[class*="collect"] [class*="count"]',
'[class*="favorite"] [class*="count"]'
]
}
for data_type, selector_list in selectors.items():
for selector in selector_list:
try:
elements = self.driver.find_elements("css selector", selector)
if elements:
text = elements[0].text.strip()
if text and text.replace('.', '').replace('万', '').replace('亿', '').isdigit():
# 转换数字格式
if '亿' in text:
video_details[data_type] = int(float(text.replace('亿', '')) * 100000000)
elif '万' in text:
video_details[data_type] = int(float(text.replace('万', '')) * 10000)
else:
video_details[data_type] = int(text)
break
except Exception:
continue
if video_details['likes'] > 0 or video_details['shares'] > 0 or video_details['favorites'] > 0:
# 添加格式化字段
video_details['likes_formatted'] = self.format_interaction_count(video_details['likes'])
video_details['shares_formatted'] = self.format_interaction_count(video_details['shares'])
video_details['favorites_formatted'] = self.format_interaction_count(video_details['favorites'])
logging.info(f'从页面元素解析到视频 {video_id} 互动数据: 点赞={video_details["likes_formatted"]}, 分享={video_details["shares_formatted"]}, 收藏={video_details["favorites_formatted"]}')
except Exception as e:
logging.warning(f'CSS选择器解析失败: {e}')
# 尝试获取评论（如果还没有获取到）
if not video_details['comments']:
try:
# 滚动到评论区域
self.driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
time.sleep(2)
# 尝试常见的评论选择器
comment_selectors = [
'[data-e2e="comment-item"]',
'[class*="comment-item"]',
'[class*="comment"] [class*="content"]'
]
for selector in comment_selectors:
try:
comment_elements = self.driver.find_elements("css selector", selector)[:max_comments]
if comment_elements:
for element in comment_elements:
try:
comment_text = element.text.strip()
if comment_text:
comment_info = {
'text': comment_text,
'user_name': '',
'digg_count': 0,
'create_time': 0
}
video_details['comments'].append(comment_info)
except Exception:
continue
if video_details['comments']:
logging.info(f'从页面元素获取到视频 {video_id} 的 {len(video_details["comments"])} 条评论')
break
except Exception:
continue
except Exception as e:
logging.warning(f'获取评论失败: {e}')
except Exception as e:
logging.warning(f'页面解析视频详细数据失败: {e}')
return video_details
def get_collection_video_details(self, episode_video_ids: list, mix_name: str = '', max_comments_per_video: int = 10) -> list:
"""获取合集中所有视频的详细互动数据
Args:
episode_video_ids: 视频ID列表
mix_name: 合集名称，用于日志
max_comments_per_video: 每个视频最大评论数量，默认10条
Returns:
list: 包含每个视频详细数据的列表
"""
# 定时器模式下跳过此函数
if os.environ.get('TIMER_MODE') == '1':
logging.info(f'定时器模式：跳过 get_collection_video_details 函数')
return []
if not episode_video_ids:
logging.info(f'合集 {mix_name} 没有视频ID，跳过详细数据获取')
return []
logging.info(f'开始获取合集 {mix_name} 中 {len(episode_video_ids)} 个视频的详细数据')
video_details_list = []
for i, video_id in enumerate(episode_video_ids, 1):
if not video_id:
logging.warning(f'合集 {mix_name} 第 {i} 集视频ID为空，跳过')
video_details_list.append({
'episode_number': i,
'video_id': '',
'likes': 0,
'shares': 0,
'favorites': 0,
'comments': [],
'success': False,
'error': '视频ID为空'
})
continue
logging.info(f'获取合集 {mix_name} 第 {i}/{len(episode_video_ids)} 集视频详细数据: {video_id}')
try:
# 获取单个视频的详细数据
video_details = self.get_video_details(video_id, max_comments_per_video)
video_details['episode_number'] = i
video_details_list.append(video_details)
# 添加延迟避免请求过快
time.sleep(2)
except Exception as e:
error_msg = f'获取视频 {video_id} 详细数据时出错: {e}'
logging.error(error_msg)
video_details_list.append({
'episode_number': i,
'video_id': video_id,
'likes': 0,
'shares': 0,
'favorites': 0,
'comments': [],
'success': False,
'error': error_msg
})
# 统计获取结果
success_count = sum(1 for detail in video_details_list if detail.get('success', False))
total_likes = sum(detail.get('likes', 0) for detail in video_details_list)
total_comments = sum(len(detail.get('comments', [])) for detail in video_details_list)
logging.info(f'合集 {mix_name} 视频详细数据获取完成: {success_count}/{len(episode_video_ids)} 成功, 总点赞数={total_likes:,}, 总评论数={total_comments}')
return video_details_list
def get_cookies_dict(self): def get_cookies_dict(self):
"""获取当前页面的cookies""" """获取当前页面的cookies"""
if not hasattr(self, 'cookies') or not self.cookies: if not hasattr(self, 'cookies') or not self.cookies:
@ -1384,6 +1772,7 @@ class DouyinPlayVVScraper:
if __name__ == '__main__': if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description='Selenium+CDP 抖音play_vv抓取器') parser = argparse.ArgumentParser(description='Selenium+CDP 抖音play_vv抓取器')
parser.add_argument('--url', default='https://www.douyin.com/user/self?showTab=favorite_collection&showSubTab=compilation', help='收藏合集列表页面URL') parser.add_argument('--url', default='https://www.douyin.com/user/self?showTab=favorite_collection&showSubTab=compilation', help='收藏合集列表页面URL')
parser.add_argument('--auto', action='store_true', help='自动继续，跳过回车等待') parser.add_argument('--auto', action='store_true', help='自动继续，跳过回车等待')

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backend/handlers/Rankings/saved_comments/comments_7486805231804681530_20251025_191144.json
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backend/handlers/Rankings/tos_client.py
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@ -343,7 +343,7 @@ class TOSChunkUploader:
self.bucket_name = tos_client.bucket_name self.bucket_name = tos_client.bucket_name
self.self_domain = tos_client.self_domain self.self_domain = tos_client.self_domain
def init_multipart_upload(self, object_key: str, content_type: Optional[str] = None) -> Optional[str]: def init_multipart_upload(self, object_key: str, content_type: Optional[str] = None) -> str | None:
""" """
初始化分片上传 初始化分片上传