#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Selenium + Chrome DevTools Protocol 抓取抖音收藏合集真实播放量(play_vv) 核心能力： - 启用CDP网络事件，获取响应体并解析play_vv - 复用本地Chrome用户数据，绕过登录障碍 - 自动滚动与刷新触发更多API请求 - 同时解析页面中的SSR数据(window._SSR_HYDRATED_DATA/RENDER_DATA) 使用方法： 1) 默认复用 `config/chrome_profile` 下的已登录Chrome配置。 2) 若仍需登录，请在弹出的Chrome中完成登录后回到终端按回车。 3) 程序会滚动和刷新，自动收集网络数据并提取play_vv。 """ import json import re import subprocess import time import logging import os import shutil from datetime import datetime import requests import base64 import uuid import sys import psutil import random import threading import argparse from concurrent.futures import ThreadPoolExecutor # 使用线程池实现异步滑动和监控 from selenium import webdriver from selenium.webdriver.chrome.service import Service 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 from webdriver_manager.chrome import ChromeDriverManager # noqa: F401 # 添加项目根目录到 Python 路径 sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..')) # 确保能找到backend目录下的模块 backend_dir = os.path.join(os.path.dirname(__file__), '..', '..') sys.path.insert(0, backend_dir) from database import db from handlers.Rankings.tos_client import oss_client import config # 配置日志 # 确保logs目录存在 script_dir = os.path.dirname(os.path.abspath(__file__)) logs_dir = os.path.join(script_dir, 'logs') os.makedirs(logs_dir, exist_ok=True) logging.basicConfig( level=logging.INFO, format='[%(levelname)s] %(message)s', handlers=[ logging.FileHandler(os.path.join(logs_dir, 'douyin_scraper.log'), encoding='utf-8'), logging.StreamHandler() ] ) class DouyinPlayVVScraper: def __init__(self, start_url: str = None, auto_continue: bool = False, duration_s: int = 60): self.start_url = start_url or "https://www.douyin.com/user/self?showTab=favorite_collection&showSubTab=compilation" self.auto_continue = auto_continue self.duration_s = duration_s self.driver = None self.play_vv_items = [] # list of dicts: {play_vv, formatted, url, request_id, mix_name, watched_item} self.captured_responses = [] self.db = None self.collection = None 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 # 实时存储相关属性 self.batch_id = str(uuid.uuid4()) # 每次运行的唯一标识 self.batch_time = datetime.now() # 批次时间 self.item_sequence = 0 # 数据项序号 self.saved_items = set() # 已保存的数据项（用于去重） # 根据运行模式自动选择存储方式 is_timer_mode = os.environ.get('TIMER_MODE') == '1' self.realtime_save_enabled = not is_timer_mode # 定时器模式使用批量存储，普通模式使用实时存储 if self.realtime_save_enabled: logging.info(f'[普通模式] 启用实时存储，批次ID: {self.batch_id}') else: logging.info('[定时器模式] 使用批量存储') self._cleanup_old_profiles() # 智能清理Chrome缓存（仅当超过50MB时） self._cleanup_chrome_cache_smart() self._setup_mongodb() self._load_image_cache() def _setup_mongodb(self): """设置MongoDB连接""" try: # 使用 database.py 中的连接 self.db = db # 根据运行模式选择集合 is_timer_mode = os.environ.get('TIMER_MODE') == '1' mongo_collection = 'Ranking_storage_list' if is_timer_mode else 'Rankings_list' self.collection = self.db[mongo_collection] logging.info(f'MongoDB连接成功，使用数据库: {self.db.name}，集合: {mongo_collection}') logging.info(f'当前运行模式: {"定时器模式" if is_timer_mode else "普通模式"}') except Exception as e: logging.error(f'MongoDB连接失败: {e}') self.db = None self.collection = None def _load_image_cache(self): """从数据库加载已存在的图片ID到TOS链接的映射""" if self.collection is None: return try: # 查询所有有封面图片的记录 cursor = self.collection.find( { 'cover_image_url_original': {'$exists': True, '$ne': ''}, 'cover_image_url': {'$exists': True, '$ne': ''} }, {'cover_image_url_original': 1, 'cover_image_url': 1} ) cache_count = 0 for doc in cursor: original_url = doc.get('cover_image_url_original', '') tos_url = doc.get('cover_image_url', '') if original_url and tos_url and original_url != tos_url: # 提取图片ID image_id = self.extract_douyin_image_id(original_url) if image_id: self.image_cache[image_id] = tos_url cache_count += 1 logging.info(f'从数据库加载图片缓存: {cache_count} 个图片映射') except Exception as e: logging.error(f'加载图片缓存失败: {e}') def _cleanup_old_profiles(self): """清理超过一天的旧临时Chrome配置文件""" try: script_dir = os.path.dirname(os.path.abspath(__file__)) profile_base_dir = os.path.join(script_dir, 'config', 'chrome_profile') if not os.path.exists(profile_base_dir): return current_time = time.time() one_day_ago = current_time - 24 * 60 * 60 # 24小时前 for item in os.listdir(profile_base_dir): if item.startswith('run_'): item_path = os.path.join(profile_base_dir, item) if os.path.isdir(item_path): try: # 提取时间戳 timestamp = int(item.split('_')[1]) if timestamp < one_day_ago: shutil.rmtree(item_path, ignore_errors=True) logging.info(f'清理旧配置文件: {item}') except (ValueError, IndexError): # 如果无法解析时间戳，跳过 continue except Exception as e: logging.warning(f'清理旧配置文件时出错: {e}') def _cleanup_chrome_processes(self): """清理可能占用配置文件的Chrome进程""" try: # 获取当前配置文件路径 script_dir = os.path.dirname(os.path.abspath(__file__)) profile_dir = os.path.join(script_dir, 'config', 'chrome_profile', 'douyin_persistent') # 查找使用该配置文件的Chrome进程 killed_processes = [] for proc in psutil.process_iter(['pid', 'name', 'cmdline']): try: if proc.info['name'] and 'chrome' in proc.info['name'].lower(): cmdline = proc.info['cmdline'] if cmdline and any(profile_dir in arg for arg in cmdline): proc.terminate() killed_processes.append(proc.info['pid']) logging.info(f'终止占用配置文件的Chrome进程: PID {proc.info["pid"]}') except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess): continue # 等待进程终止 if killed_processes: time.sleep(2) return len(killed_processes) > 0 except ImportError: # 如果没有psutil，使用系统命令 try: result = subprocess.run(['taskkill', '/f', '/im', 'chrome.exe'], capture_output=True, text=True, timeout=10) if result.returncode == 0: logging.info('使用taskkill清理Chrome进程') time.sleep(2) return True except Exception as e: logging.warning(f'清理Chrome进程失败: {e}') return False except Exception as e: logging.warning(f'清理Chrome进程时出错: {e}') return False def _get_directory_size(self, directory_path): """计算目录大小（MB）""" total_size = 0 try: for dirpath, dirnames, filenames in os.walk(directory_path): for filename in filenames: filepath = os.path.join(dirpath, filename) try: total_size += os.path.getsize(filepath) except (OSError, FileNotFoundError): continue except Exception as e: logging.warning(f'计算目录大小时出错: {e}') return total_size / (1024 * 1024) # 转换为MB def _cleanup_chrome_cache_smart(self, size_threshold_mb=50): """智能清理Chrome配置文件缓存 Args: size_threshold_mb (int): 触发清理的大小阈值（MB），默认50MB """ try: script_dir = os.path.dirname(os.path.abspath(__file__)) profile_dir = os.path.join(script_dir, 'config', 'chrome_profile', 'douyin_persistent') if not os.path.exists(profile_dir): logging.info('Chrome配置文件目录不存在，跳过缓存清理') return False # 计算当前配置文件大小 current_size_mb = self._get_directory_size(profile_dir) logging.info(f'Chrome配置文件当前大小: {current_size_mb:.2f} MB') # 检查是否超过阈值 if current_size_mb <= size_threshold_mb: logging.info(f'配置文件大小 ({current_size_mb:.2f} MB) 未超过阈值 ({size_threshold_mb} MB)，跳过清理') return False logging.info(f'配置文件大小 ({current_size_mb:.2f} MB) 超过阈值 ({size_threshold_mb} MB)，开始清理缓存...') # 定义需要清理的缓存目录和文件 cache_items = [ 'Default/Cache', 'Default/Code Cache', 'Default/GPUCache', 'Default/Service Worker/CacheStorage', 'Default/Service Worker/ScriptCache', 'Default/IndexedDB', 'Default/Local Storage', 'Default/Session Storage', 'Default/Web Data-journal', 'Default/History-journal', 'Default/Favicons-journal', 'GrShaderCache', 'optimization_guide_model_store', 'BrowserMetrics' ] cleaned_size = 0 cleaned_items = 0 for cache_item in cache_items: cache_path = os.path.join(profile_dir, cache_item) if os.path.exists(cache_path): try: # 计算要删除的大小 if os.path.isdir(cache_path): item_size = self._get_directory_size(cache_path) shutil.rmtree(cache_path) else: item_size = os.path.getsize(cache_path) / (1024 * 1024) os.remove(cache_path) cleaned_size += item_size cleaned_items += 1 logging.debug(f'已清理: {cache_item} ({item_size:.2f} MB)') except Exception as e: logging.warning(f'清理 {cache_item} 时出错: {e}') # 计算清理后的大小 final_size_mb = self._get_directory_size(profile_dir) logging.info(f'缓存清理完成:') logging.info(f' - 清理前大小: {current_size_mb:.2f} MB') logging.info(f' - 清理后大小: {final_size_mb:.2f} MB') logging.info(f' - 释放空间: {cleaned_size:.2f} MB') logging.info(f' - 清理项目: {cleaned_items} 个') return True except Exception as e: logging.error(f'智能缓存清理失败: {e}') return False def setup_driver(self): logging.info('初始化Chrome WebDriver (启用CDP网络日志)') # 清理可能占用配置文件的Chrome进程 self._cleanup_chrome_processes() chrome_options = Options() chrome_options.add_argument('--no-sandbox') chrome_options.add_argument('--disable-dev-shm-usage') chrome_options.add_argument('--disable-blink-features=AutomationControlled') chrome_options.add_experimental_option('excludeSwitches', ['enable-automation']) chrome_options.add_experimental_option('useAutomationExtension', False) chrome_options.add_argument('--disable-extensions') chrome_options.add_argument('--remote-allow-origins=*') chrome_options.add_argument('--remote-debugging-port=0') chrome_options.add_argument('--start-maximized') chrome_options.add_argument('--lang=zh-CN') # 使用固定的Chrome配置文件目录以保持登录状态 script_dir = os.path.dirname(os.path.abspath(__file__)) profile_dir = os.path.join(script_dir, 'config', 'chrome_profile', 'douyin_persistent') os.makedirs(profile_dir, exist_ok=True) chrome_options.add_argument(f'--user-data-dir={profile_dir}') logging.info(f'使用持久化Chrome配置文件: {profile_dir}') # 明确设置Chrome二进制路径（32位Chrome常见安装位置） possible_chrome_bins = [ r"C:\Program Files (x86)\Google\Chrome\Application\chrome.exe", r"C:\Program Files\Google\Chrome\Application\chrome.exe" ] for bin_path in possible_chrome_bins: if os.path.exists(bin_path): chrome_options.binary_location = bin_path logging.info(f'使用Chrome二进制路径: {bin_path}') break # 性能日志（Network事件） chrome_options.set_capability('goog:loggingPrefs', {'performance': 'ALL'}) # 仅使用本地或PATH中的chromedriver，避免网络下载依赖 driver_ready = False candidates = [] # 可通过环境变量强制覆盖驱动路径 env_override = os.environ.get('OVERRIDE_CHROMEDRIVER') if env_override: candidates.append(env_override) logging.info(f'检测到环境变量 OVERRIDE_CHROMEDRIVER，优先使用: {env_override}') # 脚本所在目录的drivers路径（优先） script_dir = os.path.dirname(os.path.abspath(__file__)) script_driver_path = os.path.join(script_dir, 'drivers', 'chromedriver.exe') candidates.append(script_driver_path) logging.info(f'优先尝试脚本目录路径: {script_driver_path}') # 项目根目录的drivers路径 user_driver_path = os.path.join(os.getcwd(), 'drivers', 'chromedriver.exe') candidates.append(user_driver_path) logging.info(f'尝试项目根目录路径: {user_driver_path}') # 项目根目录 candidates.append(os.path.join(os.getcwd(), 'chromedriver.exe')) # 其他可能目录 candidates.append(os.path.join(os.getcwd(), 'drivers', 'chromedriver')) # PATH 中的chromedriver which_path = shutil.which('chromedriver') if which_path: candidates.append(which_path) if not driver_ready: for p in candidates: try: if p and os.path.exists(p): logging.info(f'尝试使用chromedriver: {p}') service = Service(p) self.driver = webdriver.Chrome(service=service, options=chrome_options) driver_ready = True logging.info(f'使用chromedriver启动成功: {p}') try: caps = self.driver.capabilities browser_ver = caps.get('browserVersion') or caps.get('version') cdver = caps.get('chrome', {}).get('chromedriverVersion') logging.info(f'Chrome版本: {browser_ver}, ChromeDriver版本: {cdver}') except Exception: pass break else: logging.info(f'候选路径不存在: {p}') except Exception as e: logging.warning(f'尝试使用 {p} 启动失败: {e}') if not driver_ready: # 最终回退：使用webdriver-manager（可能需要网络） try: service = Service(ChromeDriverManager().install()) self.driver = webdriver.Chrome(service=service, options=chrome_options) driver_ready = True logging.info('使用webdriver-manager成功启动ChromeDriver') except Exception as e: raise RuntimeError('未能启动ChromeDriver。请手动下载匹配版本的chromedriver到项目根目录或PATH，或检查网络以允许webdriver-manager下载。错误: ' + str(e)) # 反检测 try: self.driver.execute_script("Object.defineProperty(navigator, 'webdriver', {get: () => undefined})") except Exception: pass # 启用CDP Network try: self.driver.execute_cdp_cmd('Network.enable', {}) logging.info('已启用CDP Network') except Exception as e: logging.warning(f'启用CDP Network失败: {e}') def navigate(self): logging.info(f'导航到: {self.start_url}') self.driver.get(self.start_url) time.sleep(8) # 增加页面加载等待时间 def ensure_login(self): """确保用户已登录并导航到收藏合集页面""" logging.info("检测登录状态和页面位置...") # 首先检查是否已经登录并在正确页面 if self._check_login_and_page(): logging.info("检测到已登录且在收藏合集页面，跳过手动确认") return # 如果未登录或不在正确页面，进行手动登录流程 logging.info("请在弹出的浏览器中手动完成登录。") if self.auto_continue: logging.info('自动继续模式，假设已登录并跳过手动等待...') # 在自动模式下，尝试导航到起始URL try: logging.info(f"自动模式：导航到起始URL: {self.start_url}") self.driver.get(self.start_url) time.sleep(3) # 等待页面加载 logging.info("自动模式：假设登录成功，继续执行...") except Exception as e: logging.warning(f"自动模式导航失败: {e}，继续执行...") return logging.info("进入手动登录确认循环...") while True: # 要求用户输入特定文本确认 logging.info("等待用户输入确认...") user_input = input("请在浏览器中完成登录，并导航到【我的】→【收藏】→【合集】页面。操作完成后，请在此处输入 'ok' 并按回车: ") if user_input.strip().lower() != 'ok': logging.warning("请输入 'ok' 确认您已完成登录并导航到【我的】→【收藏】→【合集】页面。") continue logging.info("用户已确认，检查当前页面...") try: current_url = self.driver.current_url logging.info(f"当前页面URL: {current_url}") if ("douyin.com/user/self" in current_url and ("favorite_collection" in current_url or "compilation" in current_url)): logging.info(f"已确认您位于收藏合集列表页面: {current_url}") logging.info("脚本将继续执行...") break else: # 用户确认了，但页面不正确，继续循环等待 logging.warning(f"检测到当前页面 ({current_url}) 并非收藏合集列表页面。请确保已导航至【我的】→【收藏】→【合集】页面。") except Exception as e: if "browser has been closed" in str(e) or "no such window" in str(e) or "target window already closed" in str(e): logging.error("浏览器窗口已关闭，脚本无法继续。") raise RuntimeError("浏览器窗口已关闭") logging.warning(f"检测URL时出错: {e}。请重试。") time.sleep(1) def _check_login_and_page(self, timeout: int = 600) -> bool: """检查是否已登录并在正确页面""" try: current_url = self.driver.current_url logging.info(f"当前页面URL: {current_url}") # 检查是否在收藏合集页面 if ("douyin.com/user/self" in current_url and ("favorite_collection" in current_url or "compilation" in current_url)): # 进一步检查登录状态 return self._detect_login_status(timeout) else: # 如果不在正确页面，尝试导航到收藏合集页面 if self._detect_login_status(timeout): logging.info("已登录但不在收藏合集页面，自动导航...") self.driver.get(self.start_url) time.sleep(3) return True return False except Exception as e: logging.warning(f"检查登录状态时出错: {e}") return False def _detect_login_status(self, timeout: int = 30) -> bool: """自动检测是否已登录""" try: start = time.time() attempt = 0 while time.time() - start < timeout: attempt += 1 logging.info(f"登录检测尝试 {attempt}...") time.sleep(2) # 检查登录状态的多个选择器 selectors = [ '[data-e2e="user-avatar"]', '.user-avatar', '[class*="avatar"]', '[class*="Avatar"]', '.avatar', 'img[alt*="头像"]', 'img[alt*="avatar"]' ] for selector in selectors: try: elements = self.driver.find_elements("css selector", selector) if elements: logging.info(f"检测到用户头像 (选择器: {selector})，确认已登录") return True except Exception as e: logging.debug(f"选择器 {selector} 检测失败: {e}") continue # 检查是否有登录按钮（表示未登录） login_selectors = [ '[data-e2e="login-button"]', 'button[class*="login"]', 'a[href*="login"]', '.login-button', 'button:contains("登录")' ] for selector in login_selectors: try: elements = self.driver.find_elements("css selector", selector) if elements: logging.info(f"检测到登录按钮 (选择器: {selector})，用户未登录") return False except Exception as e: logging.debug(f"登录按钮选择器 {selector} 检测失败: {e}") continue # 添加页面源码检查 try: page_source = self.driver.page_source if "登录" in page_source and "头像" not in page_source: logging.info("页面源码显示需要登录") return False elif any(keyword in page_source for keyword in ["我的", "收藏", "合集"]): logging.info("页面源码显示已登录") return True except Exception as e: logging.debug(f"页面源码检查失败: {e}") logging.warning(f"登录状态检测超时 ({timeout}秒)，假设已登录并继续") return True # 改为假设已登录，避免卡住 except Exception as e: logging.warning(f"登录状态检测出错: {e}，假设已登录并继续") return True # 改为假设已登录，避免卡住 def trigger_loading(self): logging.info('触发数据加载：滚动 + 刷新') # 滚动触发懒加载 for i in range(8): self.driver.execute_script(f'window.scrollTo(0, {i * 900});') time.sleep(1.2) # 刷新触发新请求 self.driver.refresh() time.sleep(4) for i in range(6): self.driver.execute_script(f'window.scrollTo(0, {i * 1200});') time.sleep(1.3) def format_count(self, n: int) -> str: if n >= 100_000_000: return f"{n/100_000_000:.1f}亿" if n >= 10_000: return f"{n/10_000:.1f}万" 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) def save_comments_to_file(self, comments: list, video_id: str = None): """简单保存评论数据到JSON文件""" try: if not comments: return None # 创建保存目录 script_dir = os.path.dirname(os.path.abspath(__file__)) save_dir = os.path.join(script_dir, 'saved_comments') os.makedirs(save_dir, exist_ok=True) # 生成文件名 timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') filename = f'comments_{video_id}_{timestamp}.json' if video_id else f'comments_{timestamp}.json' file_path = os.path.join(save_dir, filename) # 保存数据 save_data = { 'timestamp': datetime.now().isoformat(), 'video_id': video_id, 'total_comments': len(comments), 'comments': comments } with open(file_path, 'w', encoding='utf-8') as f: json.dump(save_data, f, ensure_ascii=False, indent=2) logging.info(f'保存 {len(comments)} 条评论到: {file_path}') return file_path except Exception as e: logging.error(f'保存评论失败: {e}') return None def parse_play_vv_from_text(self, text: str, source_url: str, request_id: str = None): """解析文本中的play_vv、mix_name和watched_item信息""" try: # 尝试解析JSON数据 if text.strip().startswith('{') or text.strip().startswith('['): try: data = json.loads(text) self._extract_from_json_data(data, source_url, request_id) return except json.JSONDecodeError: pass # 如果不是JSON，使用正则表达式查找 self._extract_from_text_regex(text, source_url, request_id) except Exception as e: logging.warning(f'解析文本数据时出错: {e}') def _extract_from_json_data(self, data, source_url: str, request_id: str = None): """从JSON数据中递归提取合集信息""" def extract_mix_info(obj, path=""): if isinstance(obj, dict): # 检查是否包含合集信息 if 'mix_id' in obj and 'statis' in obj: mix_id = obj.get('mix_id', '') mix_name = obj.get('mix_name', '') statis = obj.get('statis', {}) # 调试：输出包含mix_id的完整对象结构（仅输出前3个） if len(self.play_vv_items) < 3: logging.info(f"=== 调试：合集对象结构 ===") logging.info(f"完整对象键: {list(obj.keys())}") # 查找可能的视频相关字段和新增字段 for key, value in obj.items(): if 'aweme' in key.lower() or 'video' in key.lower() or 'item' in key.lower() or 'ids' in key.lower(): logging.info(f"可能的视频字段 {key}: {type(value)} - {str(value)[:200]}") # 检查新增字段相关的键 elif any(keyword in key.lower() for keyword in ['author', 'creator', 'user', 'desc', 'description', 'total', 'count', 'episode']): logging.info(f"可能的新字段 {key}: {type(value)} - {str(value)[:200]}") # 特别检查ids字段 if 'ids' in obj: ids_value = obj['ids'] logging.info(f"ids字段详细信息: {type(ids_value)} - {ids_value}") if isinstance(ids_value, list) and len(ids_value) > 0: logging.info(f"ids列表长度: {len(ids_value)}") logging.info(f"第一个ID: {ids_value[0]}") if len(ids_value) > 1: logging.info(f"第二个ID: {ids_value[1]}") if isinstance(statis, dict) and 'play_vv' in statis: play_vv = statis.get('play_vv') if isinstance(play_vv, (int, str)) and str(play_vv).isdigit(): vv = int(play_vv) # 构建合集链接 video_url = f"https://www.douyin.com/collection/{mix_id}" if mix_id else "" # 提取合集封面图片URL - 直接存储完整的图片链接 cover_image_url = "" cover_image_backup_urls = [] # 备用链接列表 # 查找封面图片字段，优先获取完整的URL链接 if 'cover' in obj: cover = obj['cover'] if isinstance(cover, dict) and 'url_list' in cover and cover['url_list']: # 主链接 cover_image_url = cover['url_list'][0] # 备用链接 cover_image_backup_urls = cover['url_list'][1:] if len(cover['url_list']) > 1 else [] elif isinstance(cover, str): cover_image_url = cover elif 'cover_url' in obj: cover_url = obj['cover_url'] if isinstance(cover_url, dict) and 'url_list' in cover_url and cover_url['url_list']: cover_image_url = cover_url['url_list'][0] cover_image_backup_urls = cover_url['url_list'][1:] if len(cover_url['url_list']) > 1 else [] elif isinstance(cover_url, str): cover_image_url = cover_url elif 'image' in obj: image = obj['image'] if isinstance(image, dict) and 'url_list' in image and image['url_list']: cover_image_url = image['url_list'][0] cover_image_backup_urls = image['url_list'][1:] if len(image['url_list']) > 1 else [] elif isinstance(image, str): cover_image_url = image elif 'pic' in obj: pic = obj['pic'] if isinstance(pic, dict) and 'url_list' in pic and pic['url_list']: cover_image_url = pic['url_list'][0] cover_image_backup_urls = pic['url_list'][1:] if len(pic['url_list']) > 1 else [] elif isinstance(pic, str): cover_image_url = pic # 提取新增的三个字段 series_author = "" desc = "" updated_to_episode = 0 # 提取合集作者/影视工作室 if 'author' in obj: author = obj['author'] if isinstance(author, dict): # 尝试多个可能的作者字段 series_author = (author.get('nickname') or author.get('unique_id') or author.get('short_id') or author.get('name') or '') elif isinstance(author, str): series_author = author elif 'creator' in obj: creator = obj['creator'] if isinstance(creator, dict): series_author = (creator.get('nickname') or creator.get('unique_id') or creator.get('name') or '') elif isinstance(creator, str): series_author = creator elif 'user' in obj: user = obj['user'] if isinstance(user, dict): series_author = (user.get('nickname') or user.get('unique_id') or user.get('name') or '') elif isinstance(user, str): series_author = user # 提取合集描述 - 扩展更多可能的字段 description_fields = ['desc', 'share_info'] # 保持字段列表 # 先检查desc字段 if 'desc' in obj and obj['desc']: desc_value = str(obj['desc']).strip() if desc_value: desc = desc_value logging.info(f"从desc提取到描述") # 如果desc中没有找到有效描述，检查share_info if not desc and 'share_info' in obj and isinstance(obj['share_info'], dict): share_desc = obj['share_info'].get('share_desc', '').strip() if share_desc: desc = share_desc logging.info(f"从share_info.share_desc提取到描述") # 如果share_info中没有找到有效描述，继续检查desc字段 if not desc: for field in description_fields: if field in obj and obj[field]: desc_value = str(obj[field]).strip() if desc_value: desc = desc_value logging.info(f"从{field}提取到描述") break # 如果还没有找到描述，尝试从嵌套对象中查找desc字段 if not desc: def search_nested_desc(data, depth=0): if depth > 3: # 限制递归深度 return None if isinstance(data, dict): # 检查当前层级的desc字段 if 'desc' in data and data['desc']: desc_value = str(data['desc']).strip() if 5 <= len(desc_value) <= 1000: return desc_value # 递归检查嵌套对象 for value in data.values(): if isinstance(value, dict): nested_result = search_nested_desc(value, depth + 1) if nested_result: return nested_result return None desc = search_nested_desc(obj) # 提取合集总集数 - 从statis字段中获取 updated_to_episode = 0 # 初始化默认值 if 'statis' in obj and isinstance(obj['statis'], dict): statis = obj['statis'] if 'updated_to_episode' in statis: try: episodes = int(statis['updated_to_episode']) if episodes > 0: updated_to_episode = episodes logging.info(f"从statis.updated_to_episode提取到集数: {episodes}") except ValueError: logging.warning("updated_to_episode字段值无法转换为整数") else: logging.info("未找到statis字段或statis不是字典类型") try: episodes = int(obj['updated_to_episode']) if episodes > 0: updated_to_episode = episodes logging.info(f"从updated_to_episode提取到集数: {episodes}") except ValueError: pass # 忽略无法转换为整数的情况 # 构建合集数据 item_data = { 'play_vv': vv, 'formatted': self.format_count(vv), 'url': source_url, 'request_id': request_id, 'mix_name': mix_name, 'video_url': video_url, # 合集链接 'mix_id': mix_id, # 合集ID 'cover_image_url': cover_image_url, # 合集封面图片主链接（完整URL） 'cover_backup_urls': cover_image_backup_urls, # 封面图片备用链接列表 'series_author': series_author, # 合集作者/影视工作室 'desc': desc, # 合集描述 'updated_to_episode': updated_to_episode, # 合集总集数 'timestamp': datetime.now().isoformat() } # 添加到列表（保持原有逻辑） self.play_vv_items.append(item_data) # 实时保存到数据库 if self.realtime_save_enabled: self.save_single_item_realtime(item_data) logging.info(f'提取到合集: {mix_name} (ID: {mix_id}) - {vv:,} 播放量') if series_author: logging.info(f' 作者: {series_author}') if desc: logging.info(f' 描述: {desc[:100]}{"..." if len(desc) > 100 else ""}') if updated_to_episode > 0: logging.info(f' 总集数: {updated_to_episode}') # 递归搜索子对象 for key, value in obj.items(): if isinstance(value, (dict, list)): extract_mix_info(value, f"{path}.{key}" if path else key) elif isinstance(obj, list): for i, item in enumerate(obj): if isinstance(item, (dict, list)): extract_mix_info(item, f"{path}[{i}]" if path else f"[{i}]") extract_mix_info(data) def _extract_from_text_regex(self, text: str, source_url: str, request_id: str = None): """使用正则表达式从文本中提取信息""" # 查找包含完整合集信息的JSON片段，包括statis中的updated_to_episode mix_pattern = r'\{[^{}]*"mix_id"\s*:\s*"([^"]*)"[^{}]*"mix_name"\s*:\s*"([^"]*)"[^{}]*"statis"\s*:\s*\{[^{}]*"play_vv"\s*:\s*(\d+)[^{}]*"updated_to_episode"\s*:\s*(\d+)[^{}]*\}[^{}]*\}' for match in re.finditer(mix_pattern, text): try: mix_id = match.group(1) mix_name = match.group(2) vv = int(match.group(3)) episodes = int(match.group(4)) # 构建合集链接 video_url = f"https://www.douyin.com/collection/{mix_id}" if mix_id else "" if episodes > 0: logging.info(f"从statis.updated_to_episode提取到集数: {episodes}") # 构建合集数据 item_data = { 'play_vv': vv, 'formatted': self.format_count(vv), 'url': source_url, 'request_id': request_id, 'mix_name': mix_name, 'video_url': video_url, # 合集链接 'mix_id': mix_id, # 合集ID 'updated_to_episode': episodes if episodes > 0 else None, # 从statis.updated_to_episode提取的集数 'timestamp': datetime.now().isoformat() } # 添加到列表（保持原有逻辑） self.play_vv_items.append(item_data) # 实时保存到数据库 if self.realtime_save_enabled: self.save_single_item_realtime(item_data) logging.info(f'正则提取到合集: {mix_name} (ID: {mix_id}) - {vv:,} 播放量') except Exception: continue # 兜底：查找单独的play_vv值 for match in re.findall(r'"play_vv"\s*:\s*(\d+)', text): try: vv = int(match) # 检查是否已经存在相同的play_vv if not any(item['play_vv'] == vv for item in self.play_vv_items): # 构建合集数据 item_data = { 'play_vv': vv, 'formatted': self.format_count(vv), 'url': source_url, 'request_id': request_id, 'mix_name': '', # 未知合集名称 'video_url': '', # 未知链接 'mix_id': '', # 未知mix_id 'updated_to_episode': None, # 未知集数 'timestamp': datetime.now().isoformat() } # 添加到列表（保持原有逻辑） self.play_vv_items.append(item_data) # 实时保存到数据库（对于未知合集，可能不需要实时保存，但为了一致性还是保存） if self.realtime_save_enabled: self.save_single_item_realtime(item_data) except Exception: continue def collect_network_bodies(self, duration_s: int = None): if duration_s is None: duration_s = self.duration_s logging.info(f'开始收集网络响应体，持续 {duration_s}s') start = time.time() known_request_ids = set() # 目标关键词（收藏/合集/视频） url_keywords = ['aweme', 'mix', 'collection', 'favorite', 'note', 'api'] last_progress = 0 while time.time() - start < duration_s: try: logs = self.driver.get_log('performance') except Exception as e: logging.warning(f'获取性能日志失败: {e}') time.sleep(1) continue for entry in logs: try: message = json.loads(entry['message'])['message'] except Exception: continue method = message.get('method') params = message.get('params', {}) # 记录请求URL if method == 'Network.requestWillBeSent': req_id = params.get('requestId') url = params.get('request', {}).get('url', '') if any(k in url for k in url_keywords): self.captured_responses.append({'requestId': req_id, 'url': url, 'type': 'request'}) # 响应到达，尝试获取响应体 if method == 'Network.responseReceived': req_id = params.get('requestId') url = params.get('response', {}).get('url', '') type_ = params.get('type') # XHR, Fetch, Document if req_id and req_id not in known_request_ids: known_request_ids.add(req_id) # 仅处理XHR/Fetch if type_ in ('XHR', 'Fetch') and any(k in url for k in url_keywords): try: body_obj = self.driver.execute_cdp_cmd('Network.getResponseBody', {'requestId': req_id}) body_text = body_obj.get('body', '') # 可能是base64编码 if body_obj.get('base64Encoded'): try: body_text = base64.b64decode(body_text).decode('utf-8', errors='ignore') except Exception: pass # 解析play_vv self.parse_play_vv_from_text(body_text, url, req_id) except Exception: # 某些响应不可获取或过大 pass elapsed = int(time.time() - start) if elapsed - last_progress >= 5: last_progress = elapsed logging.info(f'进度: {elapsed}/{duration_s}, 目标数量： {len(self.play_vv_items)}') time.sleep(0.8) logging.info(f'网络收集完成，共发现 {len(self.play_vv_items)} 个目标') def parse_ssr_data(self): logging.info('尝试解析页面SSR数据') # 尝试直接从window对象获取 keys = ['_SSR_HYDRATED_DATA', 'RENDER_DATA'] for key in keys: try: data = self.driver.execute_script(f'return window.{key}') if data: text = json.dumps(data, ensure_ascii=False) self.parse_play_vv_from_text(text, f'page_{key}', None) logging.info(f'从 {key} 中解析完成') except Exception: continue # 兜底：从page_source中正则查找 try: page_source = self.driver.page_source self.parse_play_vv_from_text(page_source, 'page_source', None) # 同时尝试识别statis结构中的play_vv for m in re.findall(r'"statis"\s*:\s*\{[^}]*"play_vv"\s*:\s*(\d+)[^}]*\}', page_source): try: vv = int(m) # 检查是否已经存在相同的play_vv if not any(item['play_vv'] == vv for item in self.play_vv_items): # 构建合集数据 item_data = { 'play_vv': vv, 'formatted': self.format_count(vv), 'url': 'page_source_statis', 'request_id': None, 'mix_name': '', # 从statis中无法获取合集名称 'video_url': '', # 从statis中无法获取链接 'timestamp': datetime.now().isoformat() } # 添加到列表（保持原有逻辑） self.play_vv_items.append(item_data) # 实时保存到数据库 if self.realtime_save_enabled: self.save_single_item_realtime(item_data) except Exception: pass except Exception: pass def dedupe(self): # 去重按play_vv数值 unique = [] seen = set() for item in self.play_vv_items: vv = item['play_vv'] if vv not in seen: unique.append(item) seen.add(vv) self.play_vv_items = unique def save_results(self): if self.realtime_save_enabled and self.saved_items: # 实时保存模式：只更新排名和统计信息 self.update_ranks_for_batch() logging.info(f'[实时保存] 所有数据已通过实时保存功能保存到数据库，共 {len(self.saved_items)} 个合集') logging.info(f'[实时保存] 批次ID: {self.batch_id}') else: # 传统批量保存模式 self.save_to_mongodb() logging.info('结果已保存到MongoDB') def update_ranks_for_batch(self): """为当前批次的数据更新排名""" if self.collection is None or not self.saved_items: return try: # 获取当前批次的所有数据，按播放量排序 cursor = self.collection.find( {'batch_id': self.batch_id}, {'_id': 1, 'play_vv': 1, 'mix_name': 1} ).sort('play_vv', -1) batch_items = list(cursor) if not batch_items: logging.warning(f'[实时保存] 未找到批次 {self.batch_id} 的数据') return # 批量更新排名 from pymongo import UpdateOne bulk_operations = [] for rank, item in enumerate(batch_items, 1): bulk_operations.append( UpdateOne( {'_id': item['_id']}, {'$set': {'rank': rank}} ) ) if bulk_operations: result = self.collection.bulk_write(bulk_operations) logging.info(f'[实时保存] 成功更新 {result.modified_count} 个合集的排名') # 输出排名统计 total_play_vv = sum(item['play_vv'] for item in batch_items) max_play_vv = batch_items[0]['play_vv'] if batch_items else 0 logging.info(f'[实时保存] 排名统计: 总播放量={total_play_vv:,}, 最高播放量={max_play_vv:,}') except Exception as e: logging.error(f'[实时保存] 更新排名失败: {e}') def extract_douyin_image_id(self, cover_url): """ 从抖音图片URL中提取唯一的图片ID Args: cover_url (str): 抖音图片URL Returns: str: 图片ID，如果提取失败返回空字符串 """ if not cover_url: return '' try: # 抖音图片URL格式支持两种: # 1. https://p{数字}-sign.douyinpic.com/obj/tos-cn-i-dy/{图片ID}?{参数} # 2. https://p{数字}-sign.douyinpic.com/obj/douyin-user-image-file/{图片ID}?{参数} # 使用正则表达式提取图片ID patterns = [ r'/obj/tos-cn-i-dy/([a-f0-9]+)', r'/obj/douyin-user-image-file/([a-f0-9]+)' ] for pattern in patterns: match = re.search(pattern, cover_url) if match: image_id = match.group(1) logging.debug(f'提取图片ID成功: {image_id} from {cover_url}') return image_id logging.warning(f'无法从URL中提取图片ID: {cover_url}') return '' except Exception as e: logging.error(f'提取图片ID异常: {cover_url}, 错误: {e}') return '' def upload_cover_image(self, cover_url, mix_name): """ 上传封面图片到TOS并返回永久链接（带去重功能和重试机制） Args: cover_url: 临时封面图片链接 mix_name: 合集名称，用于生成文件名 Returns: str: 永久链接URL，如果上传失败则返回原链接 """ if not cover_url: return cover_url # 提取图片ID image_id = self.extract_douyin_image_id(cover_url) # 如果能提取到图片ID，检查缓存 if image_id: if image_id in self.image_cache: cached_url = self.image_cache[image_id] logging.info(f'使用缓存图片: {image_id} -> {cached_url} (合集: {mix_name})') return cached_url # 生成随机文件名，保持原有的扩展名 file_extension = '.jpg' # 抖音封面图片通常是jpg格式 # 改进的扩展名检测逻辑 url_without_params = cover_url.split('?')[0] url_path = url_without_params.split('/')[-1] # 获取URL路径的最后一部分 # 只有当最后一部分包含点且点后面的内容是常见图片扩展名时才使用 if '.' in url_path: potential_ext = url_path.split('.')[-1].lower() # 检查是否为常见的图片扩展名 if potential_ext in ['jpg', 'jpeg', 'png', 'gif', 'webp', 'bmp']: file_extension = '.' + potential_ext # 生成唯一文件名 random_filename = f"{uuid.uuid4().hex}{file_extension}" object_key = f"media/rank/{random_filename}" # 重试机制：最多尝试3次 max_retries = 3 last_error = None for attempt in range(max_retries): try: logging.info(f'开始上传封面图片 (尝试 {attempt + 1}/{max_retries}): {mix_name}') logging.info(f'封面图片URL: {cover_url}') logging.info(f'目标对象键: {object_key}') # 从URL上传到TOS并获取新的URL oss_url = oss_client.upload_from_url( url=cover_url, object_key=object_key, return_url=True, timeout=30 # 30秒超时 ) # 验证上传是否成功：检查返回的URL是否包含预期的域名 if not oss_url or not isinstance(oss_url, str): raise Exception(f"上传返回了无效的URL: {oss_url}") # 检查URL格式是否正确 expected_domain = oss_client.self_domain if expected_domain not in oss_url: raise Exception(f"上传返回的URL域名不正确: {oss_url}, 期望包含: {expected_domain}") # 检查URL是否包含正确的对象键 if object_key not in oss_url: raise Exception(f"上传返回的URL不包含对象键: {oss_url}, 期望包含: {object_key}") logging.info(f'封面图片上传成功: {mix_name} -> {oss_url}') # 如果有图片ID，将结果缓存 if image_id: self.image_cache[image_id] = oss_url logging.debug(f'图片缓存已更新: {image_id} -> {oss_url}') return oss_url except Exception as e: last_error = e error_msg = str(e) logging.warning(f'封面图片上传失败 (尝试 {attempt + 1}/{max_retries}): {mix_name} - {error_msg}') # 如果不是最后一次尝试，等待一段时间后重试 if attempt < max_retries - 1: import time wait_time = (attempt + 1) * 2 # 递增等待时间：2秒、4秒、6秒 logging.info(f'等待 {wait_time} 秒后重试...') time.sleep(wait_time) # 为重试生成新的文件名，避免可能的冲突 random_filename = f"{uuid.uuid4().hex}{file_extension}" object_key = f"media/rank/{random_filename}" # 所有重试都失败了 logging.error(f'封面图片上传彻底失败 (已尝试 {max_retries} 次): {mix_name} - 最后错误: {last_error}') logging.error(f'将使用原始链接作为回退: {cover_url}') return cover_url # 上传失败时返回原链接 def save_to_mongodb(self): """将数据保存到MongoDB""" # 如果启用了实时保存，跳过批量保存 if self.realtime_save_enabled: logging.info('[批量保存] 实时保存模式已启用，跳过批量保存') return if self.collection is None: logging.warning('MongoDB未连接，跳过数据库保存') return if not self.play_vv_items: logging.info('没有数据需要保存到MongoDB') return try: batch_time = datetime.now() documents = [] for item in self.play_vv_items: # 获取原始封面图片URL original_cover_url = item.get('cover_image_url', '') mix_name = item.get('mix_name', '') # 处理封面图片 permanent_cover_url = '' upload_success = False if original_cover_url: # 上传封面图片到TOS获取永久链接 permanent_cover_url = self.upload_cover_image(original_cover_url, mix_name) # 检查上传是否成功 if permanent_cover_url != original_cover_url: # 上传成功，URL已经改变 upload_success = True logging.info(f'封面图片上传成功，已获得永久链接: {mix_name}') else: # 上传失败，使用原始链接作为回退 upload_success = False logging.warning(f'封面图片上传失败，回退使用原始链接: {mix_name}') logging.warning(f'原始链接: {original_cover_url}') # 可以在这里添加额外的回退策略，比如： # 1. 尝试使用备用的图片链接 # 2. 设置一个默认的占位图片 # 3. 记录失败的链接以便后续重试 # 当前策略：保持原始链接，但在数据库中标记上传状态 else: # 没有封面图片，使用空字符串 permanent_cover_url = '' upload_success = True # 没有图片不算失败 # 获取合集中的所有视频ID mix_id = item.get('mix_id', '') episode_video_ids = [] if mix_id: logging.info(f'获取合集 {mix_name} 的所有视频ID') current_episode_count = item.get('updated_to_episode', 0) episode_video_ids = self.get_collection_videos( mix_id=mix_id, mix_name=mix_name, current_episode_count=current_episode_count ) logging.info(f'合集 {mix_name} 共获取到 {len(episode_video_ids)} 个视频ID') # 获取每个视频的详细互动数据 logging.info(f'开始获取合集 {mix_name} 的视频详细互动数据') video_details_list = self.get_collection_video_details( episode_video_ids=episode_video_ids, mix_name=mix_name ) # 构建每集的详细信息，使用获取到的真实数据 episode_details = [] total_episodes = item.get('updated_to_episode', 0) for i in range(total_episodes): episode_number = i + 1 video_id = episode_video_ids[i] if i < len(episode_video_ids) else '' # 查找对应的视频详细数据 video_detail = None if i < len(video_details_list): video_detail = video_details_list[i] if video_detail and video_detail.get('success', False): # 使用获取到的真实数据 likes = video_detail.get('likes', 0) shares = video_detail.get('shares', 0) favorites = video_detail.get('favorites', 0) episode_info = { 'episode_number': episode_number, 'video_id': video_id, 'likes': likes, 'shares': shares, 'favorites': favorites, 'likes_formatted': self.format_interaction_count(likes), 'shares_formatted': self.format_interaction_count(shares), 'favorites_formatted': self.format_interaction_count(favorites), 'comments': video_detail.get('comments', []) } else: # 使用默认值 episode_info = { 'episode_number': episode_number, 'video_id': video_id, 'likes': 0, 'shares': 0, 'favorites': 0, 'likes_formatted': '0', 'shares_formatted': '0', 'favorites_formatted': '0', 'comments': [] } episode_details.append(episode_info) # 统计获取到的数据 total_likes = sum(ep.get('likes', 0) for ep in episode_details) total_comments = sum(len(ep.get('comments', [])) for ep in episode_details) logging.info(f'合集 {mix_name} 详细数据统计: 总点赞数={total_likes:,}, 总评论数={total_comments}') else: # 如果没有获取到视频ID，使用默认的episode_details episode_details = [ { 'episode_number': i + 1, 'video_id': '', 'likes': 0, 'shares': 0, 'favorites': 0, 'likes_formatted': '0', 'shares_formatted': '0', 'favorites_formatted': '0', 'comments': [] } for i in range(item.get('updated_to_episode', 0)) ] # 保留用户要求的7个字段 + cover_image_url作为合集封面图片完整链接 + 新增字段 doc = { 'batch_time': batch_time, 'mix_name': mix_name, 'video_url': item.get('video_url', ''), 'playcount': item.get('formatted', ''), 'play_vv': item.get('play_vv', 0), 'request_id': item.get('request_id', ''), 'rank': 0, # 临时设置，后面会重新计算 'cover_image_url_original': original_cover_url, # 保存原始临时链接用于调试 'cover_image_url': permanent_cover_url, # 合集封面图片永久链接 'cover_upload_success': upload_success, # 封面图片上传是否成功 'cover_backup_urls': item.get('cover_backup_urls', []), # 封面图片备用链接列表 # 新增的字段 'series_author': item.get('series_author', ''), # 合集作者/影视工作室 'desc': item.get('desc', ''), # 合集描述 'updated_to_episode': item.get('updated_to_episode', 0), # 合集总集数 'episode_video_ids': episode_video_ids, # 每一集的视频ID列表 'episode_details': episode_details # 每集的详细信息 } documents.append(doc) # 按播放量降序排序并添加排名 documents.sort(key=lambda x: x['play_vv'], reverse=True) for i, doc in enumerate(documents, 1): doc['rank'] = i # 批量插入 result = self.collection.insert_many(documents) logging.info(f'成功保存 {len(result.inserted_ids)} 条记录到MongoDB') # 输出统计信息 total_play_vv = sum(doc['play_vv'] for doc in documents) max_play_vv = max(doc['play_vv'] for doc in documents) if documents else 0 logging.info(f'MongoDB保存统计: 总播放量={total_play_vv:,}, 最高播放量={max_play_vv:,}') logging.info(f'保存的字段: batch_time, mix_name, video_url, playcount, play_vv, request_id, rank, cover_image_url_original, cover_image_url, cover_upload_success, series_author, desc, updated_to_episode') # 统计封面图片处理情况 cover_count = sum(1 for doc in documents if doc.get('cover_image_url')) original_count = sum(1 for item in self.play_vv_items if item.get('cover_image_url')) upload_success_count = sum(1 for doc in documents if doc.get('cover_upload_success', False)) upload_failed_count = sum(1 for doc in documents if doc.get('cover_image_url_original') and not doc.get('cover_upload_success', False)) logging.info(f'封面图片统计: {cover_count}/{len(documents)} 个合集有封面链接') logging.info(f'封面上传统计: {upload_success_count}/{original_count} 个封面成功上传到TOS') if upload_failed_count > 0: logging.warning(f'封面上传失败: {upload_failed_count} 个封面上传失败，使用原始链接') logging.info(f'图片缓存统计: 当前缓存 {len(self.image_cache)} 个图片映射') except Exception as e: logging.error(f'保存到MongoDB时出错: {e}') def save_collection_basic_info(self, item_data: dict): """立即保存合集基础信息到数据库（第一阶段保存）""" logging.info(f'[立即保存] 保存合集基础信息: {item_data.get("mix_name", "未知")}') if not self.realtime_save_enabled or self.collection is None: logging.warning(f'[立即保存] 跳过保存 - 实时保存未启用或数据库未连接') return None try: # 生成唯一标识用于去重 item_key = f"{item_data.get('mix_id', '')}_{item_data.get('play_vv', 0)}" if item_key in self.saved_items: logging.warning(f'[立即保存] 合集数据已存在，跳过保存: {item_data.get("mix_name", "")}') return None # 增加序号 self.item_sequence += 1 # 获取基础信息 mix_name = item_data.get('mix_name', '') mix_id = item_data.get('mix_id', '') original_cover_url = item_data.get('cover_image_url', '') current_episode_count = item_data.get('updated_to_episode', 0) # 处理封面图片（如果有的话） permanent_cover_url = '' upload_success = False if original_cover_url: permanent_cover_url = self.upload_cover_image(original_cover_url, mix_name) upload_success = permanent_cover_url != original_cover_url if upload_success: logging.info(f'[立即保存] 封面图片上传成功: {mix_name}') else: upload_success = True # 没有图片不算失败 # 创建基础的episode_details结构 episode_details = [ { 'episode_number': i + 1, 'video_id': '', # 稍后更新 'likes': 0, # 稍后更新 'shares': 0, # 稍后更新 'favorites': 0, # 稍后更新 'likes_formatted': '0', 'shares_formatted': '0', 'favorites_formatted': '0', 'comments': [], # 稍后更新 'data_status': 'pending' # 标记数据状态 } for i in range(current_episode_count) ] # 构建基础文档数据 doc = { 'batch_id': self.batch_id, 'batch_time': self.batch_time, 'item_sequence': self.item_sequence, 'mix_name': mix_name, 'mix_id': mix_id, 'video_url': item_data.get('video_url', ''), 'playcount': item_data.get('formatted', ''), 'play_vv': item_data.get('play_vv', 0), 'request_id': item_data.get('request_id', ''), 'rank': 0, 'cover_image_url_original': original_cover_url, 'cover_image_url': permanent_cover_url, 'cover_upload_success': upload_success, 'cover_backup_urls': item_data.get('cover_backup_urls', []), 'series_author': item_data.get('series_author', ''), 'desc': item_data.get('desc', ''), 'updated_to_episode': current_episode_count, 'episode_video_ids': [], # 稍后更新 'episode_details': episode_details, 'data_status': 'basic_saved', # 标记为基础信息已保存 'realtime_saved': True, 'created_at': datetime.now(), 'last_updated': datetime.now() } # 插入文档 result = self.collection.insert_one(doc) document_id = result.inserted_id # 记录已保存的项目 self.saved_items.add(item_key) logging.info(f'[立即保存] ✅ 成功保存合集基础信息: {mix_name} (播放量: {item_data.get("play_vv", 0):,}) - 文档ID: {document_id}') return document_id except Exception as e: logging.error(f'[立即保存] 保存合集基础信息失败: {item_data.get("mix_name", "未知")} - 错误: {e}') return None def update_collection_video_ids(self, document_id, mix_id: str, mix_name: str, current_episode_count: int): """更新合集的视频ID列表（第二阶段更新）""" if not self.realtime_save_enabled or self.collection is None or not document_id: return False try: logging.info(f'[增量更新] 开始获取合集 {mix_name} 的视频ID列表') # 获取视频ID列表 episode_video_ids = self.get_collection_videos( mix_id=mix_id, mix_name=mix_name, current_episode_count=current_episode_count ) if episode_video_ids: # 更新数据库中的视频ID列表 update_result = self.collection.update_one( {'_id': document_id}, { '$set': { 'episode_video_ids': episode_video_ids, 'data_status': 'video_ids_updated', 'last_updated': datetime.now() } } ) if update_result.modified_count > 0: logging.info(f'[增量更新] ✅ 成功更新视频ID列表: {mix_name} - 共 {len(episode_video_ids)} 个视频') return episode_video_ids else: logging.warning(f'[增量更新] 更新视频ID列表失败: {mix_name}') else: logging.warning(f'[增量更新] 未获取到视频ID: {mix_name}') return [] except Exception as e: logging.error(f'[增量更新] 更新视频ID列表失败: {mix_name} - 错误: {e}') return [] def update_single_video_details(self, document_id, episode_number: int, video_id: str, video_details: dict, mix_name: str): """更新单个视频的详细数据（第三阶段增量更新）""" if not self.realtime_save_enabled or self.collection is None or not document_id: return False try: # 构建更新的视频详细信息 episode_info = { 'episode_number': episode_number, 'video_id': video_id, 'likes': video_details.get('likes', 0), 'shares': video_details.get('shares', 0), 'favorites': video_details.get('favorites', 0), 'likes_formatted': self.format_interaction_count(video_details.get('likes', 0)), 'shares_formatted': self.format_interaction_count(video_details.get('shares', 0)), 'favorites_formatted': self.format_interaction_count(video_details.get('favorites', 0)), 'comments': video_details.get('comments', []), 'data_status': 'completed' } # 更新数据库中对应集数的详细信息 update_result = self.collection.update_one( {'_id': document_id}, { '$set': { f'episode_details.{episode_number - 1}': episode_info, 'last_updated': datetime.now() } } ) if update_result.modified_count > 0: logging.info(f'[增量更新] ✅ 成功更新第 {episode_number} 集详细数据: {mix_name} - 点赞: {video_details.get("likes", 0):,}, 评论: {len(video_details.get("comments", []))}') return True else: logging.warning(f'[增量更新] 更新第 {episode_number} 集详细数据失败: {mix_name}') return False except Exception as e: logging.error(f'[增量更新] 更新第 {episode_number} 集详细数据失败: {mix_name} - 错误: {e}') return False def update_video_comments_realtime(self, document_id, episode_number: int, new_comments: list = None, mix_name: str = '', interaction_data: dict = None): """实时更新视频评论和互动数据（第四阶段实时更新）""" if not self.realtime_save_enabled or self.collection is None or not document_id: return False # 检查是否有数据需要更新 if not new_comments and not interaction_data: return False try: # 构建更新操作 update_operations = {} episode_prefix = f'episode_details.{episode_number - 1}' # 处理评论更新 if new_comments: update_operations['$push'] = { f'{episode_prefix}.comments': {'$each': new_comments} } # 处理互动数据更新 set_fields = {'last_updated': datetime.now()} if interaction_data: # 更新点赞数据 if 'likes' in interaction_data: set_fields[f'{episode_prefix}.likes'] = interaction_data['likes'] set_fields[f'{episode_prefix}.likes_formatted'] = interaction_data.get('likes_formatted', self.format_interaction_count(interaction_data['likes'])) # 更新分享数据 if 'shares' in interaction_data: set_fields[f'{episode_prefix}.shares'] = interaction_data['shares'] set_fields[f'{episode_prefix}.shares_formatted'] = interaction_data.get('shares_formatted', self.format_interaction_count(interaction_data['shares'])) # 更新收藏数据 if 'favorites' in interaction_data: set_fields[f'{episode_prefix}.favorites'] = interaction_data['favorites'] set_fields[f'{episode_prefix}.favorites_formatted'] = interaction_data.get('favorites_formatted', self.format_interaction_count(interaction_data['favorites'])) update_operations['$set'] = set_fields # 执行更新 update_result = self.collection.update_one( {'_id': document_id}, update_operations ) if update_result.modified_count > 0: # 构建日志信息 log_parts = [] if new_comments: log_parts.append(f"追加 {len(new_comments)} 条评论") if interaction_data: interaction_summary = [] if 'likes' in interaction_data: interaction_summary.append(f"点赞={interaction_data.get('likes_formatted', interaction_data['likes'])}") if 'shares' in interaction_data: interaction_summary.append(f"分享={interaction_data.get('shares_formatted', interaction_data['shares'])}") if 'favorites' in interaction_data: interaction_summary.append(f"收藏={interaction_data.get('favorites_formatted', interaction_data['favorites'])}") if interaction_summary: log_parts.append(f"更新互动数据({', '.join(interaction_summary)})") logging.info(f'[实时更新] ✅ 成功{", ".join(log_parts)}: {mix_name} 第 {episode_number} 集') return True else: logging.warning(f'[实时更新] 更新失败: {mix_name} 第 {episode_number} 集') return False except Exception as e: logging.error(f'[实时更新] 更新失败: {mix_name} 第 {episode_number} 集 - 错误: {e}') return False def save_single_item_realtime(self, item_data: dict): """分阶段实时保存合集数据（新版本）""" logging.info(f'[分阶段保存] 开始处理合集: {item_data.get("mix_name", "未知")}') # 第一阶段：立即保存基础信息 document_id = self.save_collection_basic_info(item_data) if not document_id: return False # 第二阶段：获取并更新视频ID列表 mix_id = item_data.get('mix_id', '') mix_name = item_data.get('mix_name', '') current_episode_count = item_data.get('updated_to_episode', 0) if mix_id and current_episode_count > 0: episode_video_ids = self.update_collection_video_ids(document_id, mix_id, mix_name, current_episode_count) # 第三阶段：逐个获取并更新视频详细数据 if episode_video_ids: self.update_video_details_incrementally(document_id, episode_video_ids, mix_name) return True def update_video_details_incrementally(self, document_id, episode_video_ids: list, mix_name: str): """增量更新视频详细数据""" logging.info(f'[增量更新] 开始逐个获取视频详细数据: {mix_name}') for i, video_id in enumerate(episode_video_ids, 1): if not video_id: logging.warning(f'[增量更新] 第 {i} 集视频ID为空，跳过: {mix_name}') continue try: # 获取单个视频的详细数据 logging.info(f'[增量更新] 获取第 {i}/{len(episode_video_ids)} 集视频详细数据: {mix_name}') video_details = self.get_video_details(video_id, mix_name, document_id, i) if video_details and video_details.get('success', False): # 立即更新到数据库 self.update_single_video_details(document_id, i, video_id, video_details, mix_name) else: logging.warning(f'[增量更新] 第 {i} 集视频详细数据获取失败: {mix_name}') except Exception as e: logging.error(f'[增量更新] 处理第 {i} 集视频时出错: {mix_name} - {e}') continue def get_video_info(self, video_id: str) -> dict: """获取视频详细信息 Args: video_id: 视频ID Returns: dict: 包含视频详细信息的字典 """ video_url = f'https://www.douyin.com/video/{video_id}' logging.info(f'获取视频信息: {video_url}') # 清除之前的网络日志 self.driver.execute_cdp_cmd('Network.clearBrowserCache', {}) self.driver.execute_cdp_cmd('Network.clearBrowserCookies', {}) self.driver.get(video_url) time.sleep(3) # 等待页面加载完成 try: 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') video_info = {} 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'] and 'url' in log['params']['response'] and '/web/api/v2/aweme/iteminfo' in log['params']['response']['url'] ): request_id = log['params']['requestId'] response = self.driver.execute_cdp_cmd('Network.getResponseBody', {'requestId': request_id}) if response and 'body' in response: data = json.loads(response['body']) if 'item_list' in data and len(data['item_list']) > 0: item = data['item_list'][0] video_info = { 'video_id': item.get('aweme_id'), 'create_time': item.get('create_time'), 'desc': item.get('desc'), 'duration': item.get('duration'), 'mix_info': { 'mix_id': item.get('mix_info', {}).get('mix_id'), 'mix_name': item.get('mix_info', {}).get('mix_name'), 'total': item.get('mix_info', {}).get('total') } } break except Exception as e: logging.warning(f'解析日志条目时出错: {e}') return video_info def get_collection_videos(self, mix_id: str, mix_name: str = '', current_episode_count: int = 0) -> list: """获取合集中的所有视频ID列表，支持增量更新 Args: mix_id: 合集ID mix_name: 合集名称，用于日志 current_episode_count: 当前已知的集数 Returns: list: 按集数排序的视频ID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_videos 函数') return [] try: # 检查缓存文件 cache_dir = os.path.join(os.path.dirname(__file__), 'episode_video_ids') # 确保缓存目录存在 os.makedirs(cache_dir, exist_ok=True) cache_file = os.path.join(cache_dir, f'video_ids_{mix_id}.json') cached_videos = [] try: if os.path.exists(cache_file): with open(cache_file, 'r', encoding='utf-8') as f: cache_data = json.load(f) cached_videos = cache_data.get('episodes', []) last_update = cache_data.get('last_update') # 如果缓存的集数等于当前集数，直接返回缓存的结果 if len(cached_videos) == current_episode_count: logging.info(f"使用缓存的视频列表: {mix_name} (ID: {mix_id})") return [video['video_id'] for video in cached_videos] except Exception as e: logging.warning(f"读取缓存文件失败: {e}") headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36', 'Accept': 'application/json, text/plain, */*', 'Accept-Language': 'zh-CN,zh;q=0.9', 'Referer': 'https://www.douyin.com/', } params = { 'device_platform': 'webapp', 'aid': '6383', 'channel': 'channel_pc_web', 'pc_client_type': '1', 'version_code': '170400', 'version_name': '17.4.0', 'cookie_enabled': 'true', 'platform': 'PC', 'downlink': '10', 'mix_id': mix_id, 'cursor': '0', 'count': '30', 'screen_width': '1920', 'screen_height': '1080', 'browser_language': 'zh-CN', 'browser_platform': 'Win32', 'browser_name': 'Chrome', 'browser_version': '120.0.0.0', 'browser_online': 'true', 'engine_name': 'Blink', 'engine_version': '120.0.0.0', 'os_name': 'Windows', 'os_version': '10', 'cpu_core_num': '16', 'device_memory': '8', 'effective_type': '4g', 'round_trip_time': '50', } all_videos = [] while True: response = requests.get( 'https://www.douyin.com/aweme/v1/web/mix/aweme/', params=params, cookies=self.get_cookies_dict(), headers=headers ) if response.status_code != 200: logging.error(f"请求失败: {response.status_code}") logging.error(f"响应内容: {response.text}") break try: data = response.json() aweme_list = data.get('aweme_list', []) if not aweme_list: break for aweme in aweme_list: video_id = aweme.get('aweme_id') if video_id: all_videos.append({ 'video_id': video_id, 'episode_num': int(aweme.get('episode_num', 0)) }) has_more = data.get('has_more', False) if not has_more: break params['cursor'] = str(len(all_videos)) time.sleep(1) except json.JSONDecodeError as e: logging.error(f"JSON解析错误: {e}") logging.error(f"响应内容: {response.text}") break if not all_videos: if cached_videos: logging.warning(f"获取视频列表失败，使用缓存数据: {mix_name} (ID: {mix_id})") return [video['video_id'] for video in cached_videos] return [] logging.info(f"获取到 {len(all_videos)} 个视频ID") # 按集数排序 all_videos.sort(key=lambda x: x['episode_num']) # 整理视频ID和集数信息 episode_info = [] for video in all_videos: episode_info.append({ 'video_id': video['video_id'], 'episode_num': video['episode_num'] }) # 检查是否有新增视频 if len(episode_info) > len(cached_videos): logging.info(f"发现新增视频: {mix_name} (ID: {mix_id}), 新增 {len(episode_info) - len(cached_videos)} 集") # 保存到缓存文件 with open(cache_file, 'w', encoding='utf-8') as f: json.dump({ 'episodes': episode_info, 'total_count': len(episode_info), 'last_update': datetime.now().isoformat(), 'mix_name': mix_name }, f, ensure_ascii=False, indent=2) # 返回视频ID列表 return [video['video_id'] for video in all_videos] except Exception as e: logging.error(f"获取合集视频时出错: {e}") # 如果出错且有缓存，返回缓存的结果 if cached_videos: logging.warning(f"使用缓存的视频列表: {mix_name} (ID: {mix_id})") return [video['video_id'] for video in cached_videos] return [] def _simulate_comment_scrolling(self, video_id: str, max_scroll_attempts: int = 10, scroll_delay: float = 2.0, document_id=None, episode_number: int = 0, mix_name: str = '') -> list: """ 模拟用户异步滑动机制，向上滑动加载更多评论 Args: video_id: 视频ID max_scroll_attempts: 最大滑动尝试次数，默认10次 scroll_delay: 每次滑动后的延迟时间（秒），默认2秒 Returns: list: 收集到的所有评论数据 """ # 检查是否应该跳过评论滑动（仅在定时器模式下跳过） if should_skip_function('scroll_comments'): logging.info(f'🚀 定时器模式：跳过视频 {video_id} 的评论滑动加载') return [] all_comments = [] collected_comment_ids = set() try: logging.info(f'开始为视频 {video_id} 执行评论滑动加载机制') # 等待页面加载完成 time.sleep(3) # 定位评论区域 self._scroll_to_comment_section() # 点击评论区域以触发网络请求 self._click_comment_area() # 创建共享状态对象，用于任务间通信 shared_state = { 'scroll_completed': False, 'lock': threading.Lock() } with ThreadPoolExecutor(max_workers=2) as executor: # 提交滑动任务 scroll_future = executor.submit(self._async_scroll_task_with_state, max_scroll_attempts, scroll_delay, shared_state) # 同时提交监控任务 - 监控任务会检测滑动任务状态 monitor_future = executor.submit(self._async_monitor_task_with_state, video_id, collected_comment_ids, shared_state, 3600, document_id, episode_number, mix_name) # 等待两个任务完成 scroll_result = scroll_future.result() monitor_comments = monitor_future.result() all_comments.extend(monitor_comments) logging.info(f'评论滑动加载完成，共收集到 {len(all_comments)} 条评论') # 保存评论到文件 if all_comments: self.save_comments_to_file(all_comments, video_id) return all_comments except Exception as e: logging.error(f'评论滑动加载机制执行失败: {e}') return all_comments def _async_scroll_task_with_state(self, max_attempts: int, scroll_delay: float, shared_state: dict): """带状态的异步滑动任务 - 无限滑动直到检测到"暂时没有更多评论"文本""" try: consecutive_no_progress = 0 # 连续无进展次数 attempt = 0 logging.info('开始无限滑动，直到检测到"暂时没有更多评论"') while True: # 无限循环，直到检测到底部文本 attempt += 1 logging.info(f'第 {attempt} 次向上滑动') # 记录滑动前的位置 current_position = self.driver.execute_script("return window.pageYOffset;") # 执行向上滑动（加载更多评论） self._execute_upward_scroll(attempt) # 等待新内容加载 time.sleep(scroll_delay) # 优先检查是否到达底部（检测到"暂时没有更多评论"文本） if self._check_comment_section_bottom(): logging.info('检测到"暂时没有更多评论"，停止滑动') break # 检查滑动是否有效果 new_position = self.driver.execute_script("return window.pageYOffset;") if abs(new_position - current_position) < 50: # 滑动距离太小 consecutive_no_progress += 1 logging.debug(f'滑动进展较小，连续无进展次数: {consecutive_no_progress}') # 如果连续多次无进展，增加滑动力度 if consecutive_no_progress >= 5: logging.info('连续多次滑动无进展，增加滑动力度') self._execute_force_scroll() consecutive_no_progress = 0 # 重置计数器 time.sleep(scroll_delay * 2) # 增加等待时间 # 再次检查是否到达底部 if self._check_comment_section_bottom(): logging.info('强制滑动后检测到底部，停止滑动') break else: consecutive_no_progress = 0 # 每50次滑动输出一次进度信息 if attempt % 50 == 0: logging.info(f'已完成 {attempt} 次滑动，继续寻找"暂时没有更多评论"文本') # 安全机制：如果滑动次数过多，暂停一下 if attempt % 200 == 0: logging.info(f'已滑动 {attempt} 次，暂停5秒以避免过度请求') time.sleep(5) # 滑动任务完成，通知监控任务 with shared_state['lock']: shared_state['scroll_completed'] = True logging.info('滑动任务已完成，通知监控任务结束') except Exception as e: logging.warning(f'滑动任务出错: {e}') # 即使出错也要通知监控任务结束 with shared_state['lock']: shared_state['scroll_completed'] = True def _execute_force_scroll(self): """执行强制滑动，用于突破可能的滑动阻塞""" try: logging.info('执行强制滑动以突破阻塞') # 执行多重强制滑动策略 self.driver.execute_script(""" // 1. 多次大幅度滑动 for (let i = 0; i < 5; i++) { window.scrollBy(0, 1000); document.documentElement.scrollTop += 1000; document.body.scrollTop += 1000; } // 2. 滑动到页面最底部 window.scrollTo(0, document.body.scrollHeight); // 3. 强制滚动所有容器 const containers = document.querySelectorAll('[data-e2e="comment-list"], .comment-list, [class*="comment"], [class*="scroll"]'); containers.forEach(container => { if (container.scrollTop !== undefined) { container.scrollTop = container.scrollHeight; container.dispatchEvent(new Event('scroll', { bubbles: true })); } }); // 4. 触发所有滚动相关事件 ['scroll', 'wheel', 'touchmove', 'resize', 'load'].forEach(eventType => { window.dispatchEvent(new Event(eventType, { bubbles: true })); document.dispatchEvent(new Event(eventType, { bubbles: true })); }); // 5. 模拟用户交互 document.body.click(); console.log('执行强制滑动完成'); """) time.sleep(3) # 增加等待时间 # 再次滑动到底部确保效果 self.driver.execute_script("window.scrollTo(0, document.body.scrollHeight);") time.sleep(1) logging.debug('强制滑动操作完成') except Exception as e: logging.warning(f'执行强制滑动失败: {e}') def _execute_upward_scroll(self, attempt: int): """执行向上滑动操作 - 使用强力滑动策略确保有效触发懒加载""" try: # 记录滑动前状态 before_state = self.driver.execute_script(""" return { scrollTop: window.pageYOffset, commentCount: document.querySelectorAll('[data-e2e="comment-item"], [class*="comment"], .comment-item').length, pageHeight: document.documentElement.scrollHeight }; """) logging.debug(f'滑动前状态: 位置={before_state["scrollTop"]}px, 评论数={before_state["commentCount"]}条') # 计算滑动距离，递增以确保效果 scroll_distance = 800 + (attempt * 300) # 执行强力滚动 - 参考111.py的实现 self.driver.execute_script(f""" // 1. 强制滚动页面 window.scrollBy(0, {scroll_distance}); document.documentElement.scrollTop += {scroll_distance}; document.body.scrollTop += {scroll_distance}; // 2. 滚动到页面底部（触发懒加载） window.scrollTo(0, document.body.scrollHeight); // 3. 查找并滚动所有可能的评论容器 const containers = document.querySelectorAll('[data-e2e="comment-list"], .comment-list, [class*="comment"], [class*="scroll"], [role="main"]'); containers.forEach(container => {{ if (container.scrollTop !== undefined) {{ container.scrollTop = container.scrollHeight; container.dispatchEvent(new Event('scroll', {{ bubbles: true }})); }} }}); // 4. 触发所有相关事件 ['scroll', 'wheel', 'touchmove', 'resize'].forEach(eventType => {{ window.dispatchEvent(new Event(eventType, {{ bubbles: true }})); document.dispatchEvent(new Event(eventType, {{ bubbles: true }})); }}); // 5. 模拟用户交互 document.body.click(); console.log('执行强力滚动:', {scroll_distance}, 'px'); """) time.sleep(2) # 等待页面响应 # 尝试点击加载更多按钮（如果存在） try: button_clicked = self.driver.execute_script(""" const selectors = [ '[data-e2e="comment-load-more"]', '[class*="load-more"]', '[class*="more-comment"]', 'button[class*="load"]', 'div[class*="load"]' ]; for (let selector of selectors) { const buttons = document.querySelectorAll(selector); for (let button of buttons) { if (button.offsetParent !== null && !button.disabled) { button.click(); console.log('点击了加载更多按钮:', selector); return true; } } } return false; """) if button_clicked: logging.debug('成功点击了加载更多按钮') time.sleep(1) # 等待按钮响应 except Exception as e: logging.debug(f'点击加载更多按钮失败: {e}') # 每隔几次使用真实手势滑动 if attempt % 3 == 0: self._simulate_real_swipe() logging.debug(f'执行强力滑动，距离: {scroll_distance}px') except Exception as e: logging.warning(f'执行滑动操作失败: {e}') def _simulate_real_swipe(self): """模拟真实向上滑动手势 - 手指从下往上移动""" try: window_size = self.driver.get_window_size() width = window_size['width'] height = window_size['height'] # 向上滑动手势：手指从屏幕下方往上方移动 start_x = width // 2 + random.randint(-20, 20) # 增加随机性 start_y = height * 4 // 5 # 从更靠下的位置开始（4/5处） end_y = height // 5 # 到更靠上的位置结束（1/5处） # 使用ActionChains模拟真实向上滑动手势 actions = ActionChains(self.driver) actions.w3c_actions.pointer_action\ .move_to_location(start_x, start_y)\ .pointer_down()\ .pause(0.1)\ .move_to_location(start_x, end_y)\ .pause(0.1)\ .pointer_up() actions.perform() logging.debug(f'执行真实向上滑动手势: 从({start_x}, {start_y})到({start_x}, {end_y})') except Exception as e: logging.debug(f'真实手势滑动失败: {e}') def _async_monitor_task(self, video_id: str, collected_comment_ids: set, timeout: float) -> list: """异步监控任务""" all_comments = [] start_time = time.time() while time.time() - start_time < timeout: try: # 从网络日志获取新评论 new_comments = self._extract_comments_from_network_logs(video_id) # 去重并添加新评论 for comment in new_comments: comment_id = f"{comment.get('text', '')}_{comment.get('user_name', '')}" if comment_id not in collected_comment_ids: collected_comment_ids.add(comment_id) all_comments.append(comment) if new_comments: logging.info(f'监控到 {len(new_comments)} 条新评论，总计 {len(all_comments)} 条') # 短暂等待后继续监控 time.sleep(1) except Exception as e: logging.warning(f'监控任务出错: {e}') time.sleep(2) return all_comments def _async_monitor_task_with_state(self, video_id: str, collected_comment_ids: set, shared_state: dict, timeout: float, document_id=None, episode_number: int = 0, mix_name: str = '') -> list: """带状态的异步监控任务 - 监控评论并检测滑动任务状态""" all_comments = [] start_time = time.time() last_comment_count = 0 no_new_comments_count = 0 logging.info('开始监控评论，将持续到滑动任务完成') while time.time() - start_time < timeout: try: # 检查滑动任务是否完成 with shared_state['lock']: scroll_completed = shared_state['scroll_completed'] if scroll_completed: logging.info('检测到滑动任务已完成，监控任务即将结束') # 滑动完成后再监控5秒，确保收集到最后的评论 final_start = time.time() while time.time() - final_start < 5: try: new_comments = self._extract_comments_from_network_logs(video_id) for comment in new_comments: comment_id = f"{comment.get('text', '')}_{comment.get('user_name', '')}" if comment_id not in collected_comment_ids: collected_comment_ids.add(comment_id) all_comments.append(comment) time.sleep(0.5) except Exception as e: logging.warning(f'最终监控阶段出错: {e}') break # 从网络日志获取新评论 new_comments = self._extract_comments_from_network_logs(video_id) # 去重并添加新评论 new_comments_to_save = [] for comment in new_comments: comment_id = f"{comment.get('text', '')}_{comment.get('user_name', '')}" if comment_id not in collected_comment_ids: collected_comment_ids.add(comment_id) all_comments.append(comment) new_comments_to_save.append(comment) # 实时保存新评论到数据库 if new_comments_to_save and document_id and episode_number > 0: self.update_video_comments_realtime(document_id, episode_number, new_comments_to_save, mix_name) # 检查是否有新评论 current_comment_count = len(all_comments) if current_comment_count > last_comment_count: logging.info(f'监控到 {current_comment_count - last_comment_count} 条新评论，总计 {current_comment_count} 条') last_comment_count = current_comment_count no_new_comments_count = 0 else: no_new_comments_count += 1 # 每30秒输出一次状态 if no_new_comments_count % 30 == 0: logging.info(f'监控中...当前总计 {current_comment_count} 条评论，等待滑动任务完成') # 短暂等待后继续监控 time.sleep(1) except Exception as e: logging.warning(f'监控任务出错: {e}') time.sleep(2) logging.info(f'监控任务结束，共收集到 {len(all_comments)} 条评论') return all_comments def _scroll_to_comment_section(self): """滚动到评论区域""" try: comment_section_selectors = [ '[data-e2e="comment-list"]', '[class*="comment-list"]', '[class*="comment-container"]', ] for selector in comment_section_selectors: try: elements = self.driver.find_elements("css selector", selector) if elements: self.driver.execute_script( "arguments[0].scrollIntoView({behavior: 'smooth', block: 'center'});", elements[0] ) time.sleep(2) logging.info(f'成功定位到评论区域: {selector}') return except Exception: continue # 备用方案：滚动到页面底部 self.driver.execute_script("window.scrollTo(0, document.body.scrollHeight);") time.sleep(2) logging.info('使用备用方案：滚动到页面底部') except Exception as e: logging.warning(f'定位评论区域失败: {e}') def _click_comment_area(self): """ 点击评论区域以触发网络请求，确保能够获取到评论数据 """ try: # 多种评论区域选择器 comment_selectors = [ '[data-e2e="comment-list"]', '[class*="comment"]', '[class*="Comment"]', '.comment-list', '.comment-container', '[data-e2e="comment-item"]', '[class*="comment-item"]', 'div[class*="comment"]', # 抖音特有的评论区域选择器 'div[data-e2e="comment-list"]', 'div[class*="CommentList"]', 'div[class*="comment-list"]' ] clicked = False for selector in comment_selectors: try: elements = self.driver.find_elements("css selector", selector) if elements: for element in elements: try: if element.is_displayed() and element.is_enabled(): # 滚动到元素可见 self.driver.execute_script("arguments[0].scrollIntoView(true);", element) time.sleep(0.5) # 点击元素 element.click() logging.info(f'成功点击评论区域: {selector}') clicked = True time.sleep(1) # 等待网络请求触发 break except Exception as e: logging.debug(f'点击元素失败: {e}') continue if clicked: break except Exception as e: logging.debug(f'使用选择器 {selector} 查找评论区域失败: {e}') continue if not clicked: # 如果没有找到特定的评论区域，尝试点击页面中部区域 try: window_size = self.driver.get_window_size() center_x = window_size['width'] // 2 center_y = window_size['height'] // 2 # 使用JavaScript点击页面中部 self.driver.execute_script(f""" var element = document.elementFromPoint({center_x}, {center_y}); if (element) {{ element.click(); }} """) logging.info('点击页面中部区域以触发评论加载') time.sleep(1) except Exception as e: logging.debug(f'点击页面中部失败: {e}') except Exception as e: logging.warning(f'点击评论区域失败: {e}') def _check_comment_section_bottom(self) -> bool: """ 检测是否已经到达评论区底部 只有检测到"暂时没有更多评论"文本时才停止滑动，确保无限滑动直到真正到达底部 Returns: bool: True表示已到达底部，False表示还可以继续加载 """ try: # 目标文本：只有检测到这个文本才认为到达底部 target_text = "暂时没有更多评论" logging.debug(f'正在检测评论区底部标识文本: "{target_text}"') # 方法1: 使用XPath检测包含文本的元素 xpath_selectors = [ f"//*[contains(text(), '{target_text}')]", f"//div[contains(text(), '{target_text}')]", f"//span[contains(text(), '{target_text}')]", f"//p[contains(text(), '{target_text}')]", f"//*[text()='{target_text}']" ] for xpath in xpath_selectors: try: elements = self.driver.find_elements("xpath", xpath) if elements: # 检查元素是否可见 for element in elements: try: if element.is_displayed(): logging.info(f'检测到评论区底部标识文本: "{target_text}" (通过XPath: {xpath})') return True except Exception: continue except Exception as e: logging.debug(f'XPath检测失败 {xpath}: {e}') continue # 方法2: 使用JavaScript在页面中搜索文本 try: js_result = self.driver.execute_script(f""" // 搜索页面中所有包含目标文本的元素 var targetText = '{target_text}'; var walker = document.createTreeWalker( document.body, NodeFilter.SHOW_TEXT, null, false ); var node; while (node = walker.nextNode()) {{ if (node.textContent.includes(targetText)) {{ var element = node.parentElement; if (element && element.offsetParent !== null) {{ return {{ found: true, text: node.textContent.trim(), tagName: element.tagName, className: element.className }}; }} }} }} return {{found: false}}; """) if js_result and js_result.get('found'): logging.info(f'通过JavaScript检测到评论区底部标识文本: "{target_text}"') logging.debug(f'元素信息: 标签={js_result.get("tagName")}, 类名={js_result.get("className")}, 文本="{js_result.get("text")}"') return True except Exception as e: logging.debug(f'JavaScript文本检测失败: {e}') # 方法3: 检查页面源码中是否包含完整的目标文本 try: page_source = self.driver.page_source if target_text in page_source: # 进一步验证：使用正则表达式确保是完整的文本匹配 pattern = re.escape(target_text) if re.search(pattern, page_source): logging.info(f'在页面源码中检测到完整的底部标识文本: "{target_text}"') return True except Exception as e: logging.debug(f'页面源码检测失败: {e}') # 检查页面滚动位置（仅用于调试信息） try: current_position = self.driver.execute_script("return window.pageYOffset;") page_height = self.driver.execute_script("return document.body.scrollHeight;") window_height = self.driver.execute_script("return window.innerHeight;") distance_to_bottom = page_height - (current_position + window_height) logging.debug(f'滚动状态: 当前位置={current_position}, 页面高度={page_height}, 窗口高度={window_height}, 距离底部={distance_to_bottom}px') # 即使滚动到底部，也不停止滑动，除非检测到目标文本 if distance_to_bottom <= 10: logging.debug(f'已滚动到页面底部，但未检测到"{target_text}"文本，继续滑动') except Exception as e: logging.debug(f'检查滚动位置失败: {e}') # 只有检测到"暂时没有更多评论"文本才返回True，否则继续滑动 logging.debug(f'未检测到"{target_text}"文本，继续滑动') return False except Exception as e: logging.warning(f'检测评论区底部失败: {e}') return False def _extract_comments_from_network_logs(self, video_id: str) -> list: """ 从网络日志中提取评论数据 Args: video_id: 视频ID Returns: list: 评论数据列表 """ comments = [] try: # 获取网络请求日志 logs = self.driver.get_log('performance') 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'] # 检查是否是评论API if '/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']) api_comments = data.get('comments', []) for comment in api_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) } comments.append(comment_info) # 记录API URL信息，用于调试 if api_comments: logging.debug(f'从API获取到 {len(api_comments)} 条评论: {url}') except Exception as e: logging.debug(f'解析评论API响应失败: {e}') continue except Exception as e: continue except Exception as e: logging.warning(f'提取网络日志评论数据失败: {e}') return comments def get_video_details(self, video_id: str, mix_name: str = '', document_id=None, episode_number: int = 0) -> dict: """获取单个视频的详细互动数据 Args: video_id: 视频ID 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 } # 添加互动数据保存标记，避免重复保存 interaction_data_saved = False # 检查是否应该跳过详细数据获取（仅在定时器模式下跳过） if os.environ.get('AUTO_CONTINUE') == '1': logging.info(f'🚀 定时器模式：跳过视频 {video_id} 的详细数据获取（点赞、收藏、分享、评论）') video_details['success'] = True video_details['error'] = '定时器模式：跳过详细数据获取' return video_details logging.info(f'🔍 get_video_details 被调用: video_id={video_id}') 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}') # 首先获取页面加载时的网络请求日志（关键修复） logging.info(f'获取页面加载时的网络日志以捕获视频详情API') initial_logs = self.driver.get_log('performance') # 解析初始网络日志获取视频详细数据cc for entry in initial_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'从初始网络日志获取视频 {video_id} 互动数据: 点赞={video_details["likes_formatted"]}, 分享={video_details["shares_formatted"]}, 收藏={video_details["favorites_formatted"]}') # 实时保存互动数据（仅在首次获取时保存） if document_id and episode_number and not interaction_data_saved: interaction_data = { 'likes': video_details['likes'], 'likes_formatted': video_details['likes_formatted'], 'shares': video_details['shares'], 'shares_formatted': video_details['shares_formatted'], 'favorites': video_details['favorites'], 'favorites_formatted': video_details['favorites_formatted'] } self.update_video_comments_realtime(document_id, episode_number, None, mix_name, interaction_data) interaction_data_saved = True break except Exception as e: logging.warning(f'解析初始视频详情API响应失败: {e}') continue except Exception as e: continue # 启动滑动机制加载更多评论 logging.info(f'开始为视频 {video_id} 启动滑动机制加载评论') scrolled_comments = self._simulate_comment_scrolling(video_id, max_scroll_attempts=15, scroll_delay=2.0, document_id=document_id, episode_number=episode_number, mix_name=mix_name) # 如果滑动机制获取到评论，直接使用 if scrolled_comments: video_details['comments'] = scrolled_comments logging.info(f'滑动机制成功获取 {len(video_details["comments"])} 条评论') # 获取滑动后的网络请求日志（用于评论数据） logs = self.driver.get_log('performance') # 解析滑动后的网络日志获取评论数据（作为滑动机制的补充） 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'] # 只处理评论API（视频详情API已在初始阶段处理） if '/aweme/v1/web/comment/list/' in url and video_id in url and not video_details['comments']: 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', []) # 只有在滑动机制没有获取到评论时才使用这个方法 if not video_details['comments']: for comment in 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'备用方案获取到 {len(comments)} 条评论') logging.info(f'评论API URL: {url}') 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, document_id, episode_number, mix_name, interaction_data_saved) 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, document_id: str = None, episode_number: int = 0, mix_name: str = "", interaction_data_saved: bool = False) -> 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 document_id: 文档ID episode_number: 集数 mix_name: 合集名称 interaction_data_saved: 互动数据是否已保存 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"]}') # 实时保存互动数据（仅在首次获取时保存） if document_id and episode_number and not interaction_data_saved: interaction_data = { 'likes': video_details['likes'], 'likes_formatted': video_details['likes_formatted'], 'shares': video_details['shares'], 'shares_formatted': video_details['shares_formatted'], 'favorites': video_details['favorites'], 'favorites_formatted': video_details['favorites_formatted'] } self.update_video_comments_realtime(document_id, episode_number, None, mix_name, interaction_data) interaction_data_saved = True 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"]}') # 实时保存互动数据（仅在首次获取时保存） if document_id and episode_number and not interaction_data_saved: interaction_data = { 'likes': video_details['likes'], 'likes_formatted': video_details['likes_formatted'], 'shares': video_details['shares'], 'shares_formatted': video_details['shares_formatted'], 'favorites': video_details['favorites'], 'favorites_formatted': video_details['favorites_formatted'] } self.update_video_comments_realtime(document_id, episode_number, None, mix_name, interaction_data) interaction_data_saved = True 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) 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 = '') -> 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 Returns: list: 包含每个视频详细数据的列表 """ # 检查是否应该跳过此函数（仅在定时器模式下跳过） if should_skip_function('get_collection_video_details'): logging.info(f'🚀 定时器模式：跳过 get_collection_video_details 函数（合集视频详细数据获取）') 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) video_details['episode_number'] = i video_details_list.append(video_details) # 添加延迟避免请求过快 time.sleep(2) # exit(0) 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): """获取当前页面的cookies""" if not hasattr(self, 'cookies') or not self.cookies: self.cookies = {cookie['name']: cookie['value'] for cookie in self.driver.get_cookies()} return self.cookies def run(self): try: self.setup_driver() self.navigate() self.ensure_login() self.trigger_loading() self.collect_network_bodies() self.parse_ssr_data() self.dedupe() self.save_results() logging.info('完成，play_vv数量: %d', len(self.play_vv_items)) finally: if self.driver: try: self.driver.quit() except Exception: pass def apply_timer_config(): """应用定时器配置中的环境变量""" try: # 应用定时器环境变量配置 config.apply_timer_environment() # 记录设置的环境变量 for key, value in config.TIMER_ENV_CONFIG.items(): logging.info(f'设置环境变量: {key}={value}') except Exception as e: logging.warning(f'应用定时器配置失败: {e}') def should_skip_function(function_name): """检查是否应该跳过指定的函数 - 只在定时器模式下启用""" try: # 只有在定时器模式下才检查跳过逻辑 if os.environ.get('TIMER_MODE') == '1' and os.environ.get('AUTO_CONTINUE') == '1': skip_functions = config.get_skip_functions() return function_name in skip_functions except Exception as e: logging.warning(f'检查跳过函数配置失败: {e}') return False if __name__ == '__main__': 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('--auto', action='store_true', help='自动继续，跳过回车等待') parser.add_argument('--duration', type=int, default=60, help='网络响应收集时长(秒)') parser.add_argument('--driver', help='覆盖chromedriver路径') parser.add_argument('--timer', action='store_true', help='启用定时器模式，应用config.py中的定时器配置') args = parser.parse_args() # 如果启用定时器模式，应用定时器配置 if args.timer: apply_timer_config() if args.driver: os.environ['OVERRIDE_CHROMEDRIVER'] = args.driver # 注意：AUTO_CONTINUE 环境变量只在定时器模式下通过 apply_timer_config() 设置 # 普通模式下不设置任何环境变量，所有函数都正常运行 print('=== Selenium+CDP 抖音play_vv抓取器 ===') scraper = DouyinPlayVVScraper(args.url, auto_continue=args.auto, duration_s=args.duration) scraper.run()