feat: 新增 ai2video 方法
This commit is contained in:
@@ -2,4 +2,4 @@ from pathlib import Path
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BASE_DIR = Path(__file__).parent.resolve()
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BASE_DIR = Path(__file__).parent.resolve()
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XHS_SERVER = "http://127.0.0.1:11901"
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XHS_SERVER = "http://127.0.0.1:11901"
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LOCAL_CHROME_PATH = "" # change me necessary! for example C:/Program Files/Google/Chrome/Application/chrome.exe
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LOCAL_CHROME_PATH = "C:\Program Files\Google\Chrome\Application\chrome.exe" # change me necessary! for example C:/Program Files/Google/Chrome/Application/chrome.exe
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@@ -20,8 +20,8 @@ if __name__ == '__main__':
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title, tags = get_title_and_hashtags(str(file))
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title, tags = get_title_and_hashtags(str(file))
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thumbnail_path = file.with_suffix('.png')
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thumbnail_path = file.with_suffix('.png')
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# 打印视频文件名、标题和 hashtag
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# 打印视频文件名、标题和 hashtag
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print(f"视频文件名:{file}")
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# print(f"视频文件名:{file}")
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print(f"标题:{title}")
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# print(f"标题:{title}")
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print(f"Hashtag:{tags}")
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# print(f"Hashtag:{tags}")
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app = BaiJiaHaoVideo(title, file, tags, publish_datetimes[index], account_file)
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app = BaiJiaHaoVideo(title, file, tags, publish_datetimes[index], account_file)
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asyncio.run(app.main(), debug=False)
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asyncio.run(app.mainAi(), debug=False)
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@@ -4,6 +4,7 @@ from datetime import datetime
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from playwright.async_api import Playwright, async_playwright, Page
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from playwright.async_api import Playwright, async_playwright, Page
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import os
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import os
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import time
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import asyncio
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import asyncio
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from conf import LOCAL_CHROME_PATH
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from conf import LOCAL_CHROME_PATH
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@@ -246,3 +247,259 @@ class BaiJiaHaoVideo(object):
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async with async_playwright() as playwright:
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async with async_playwright() as playwright:
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await self.upload(playwright)
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await self.upload(playwright)
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# 使用 AI成片 功能
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async def ai2video(self, playwright: Playwright) -> None:
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# 使用 Chromium 浏览器启动一个浏览器实例
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browser = await playwright.chromium.launch(headless=False, executable_path=self.local_executable_path, proxy=self.proxy_setting)
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# 创建一个浏览器上下文,使用指定的 cookie 文件
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context = await browser.new_context(
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viewport={"width": 1600, "height": 900},
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storage_state=f"{self.account_file}",
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user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.4324.150 Safari/537.36'
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)
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# context = await set_init_script(context)
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await context.grant_permissions(['geolocation'])
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# 创建一个新的页面
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page = await context.new_page()
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# 访问指定的 URL
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await page.goto("https://aigc.baidu.com/make", timeout=60000)
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# 等待页面跳转到指定的 URL,没进入,则自动等待到超时
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baijiahao_logger.info('正在打开主页...')
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await page.wait_for_url("https://aigc.baidu.com/make", timeout=60000)
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# 点击"全网"标签
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await page.locator('div.rounded-lg.border:has-text("全网")').click()
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await asyncio.sleep(1) # 这里延迟是为了方便眼睛直观的观看
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# 点击 "上传视频" 按钮
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# await page.locator("div[class^='video-main-container'] input").set_input_files(self.file_path)
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# region 操作处
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# 生成日期时间键名(格式:ai2video_YYYYMMDDHHMM)
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now = datetime.now()
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datetime_str = now.strftime("%Y%m%d%H%M")
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processed_key = "ai2video_processed_titles"
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batch_key = f"ai2video_{datetime_str}"
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# 初始化LocalStorage
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await page.evaluate(f"""
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if (!localStorage.getItem("{processed_key}")) {{
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localStorage.setItem("{processed_key}", JSON.stringify([]));
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}}
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if (!localStorage.getItem("{batch_key}")) {{
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localStorage.setItem("{batch_key}", JSON.stringify([]));
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}}
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""")
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# 定位新闻列表容器(转义特殊CSS字符)
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container_selector = '.overflow-auto.flex-grow.h-0.saas-scrollbar.mt\-\[-4px\].pl\-\[24px\].pr\-\[10px\].pb\-\[18px\]'
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news_items = await page.locator(container_selector).locator('div.py\-\[6px\].group.cursor-pointer').all()
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for item in news_items:
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try:
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# 获取新闻标题
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title_elem = item.locator('div.flex.text-gray-darker.items-center.relative.pr\-\[56px\] > span')
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title = await title_elem.text_content()
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if not title:
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continue
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# 检查是否已处理过
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is_processed = await page.evaluate(
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f"""title => {{
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const processedList = JSON.parse(localStorage.getItem("{processed_key}") || "[]");
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return processedList.includes(title);
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}}""",
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title
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)
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if is_processed:
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print(f"[跳过] {title}")
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continue
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# 悬停显示按钮(根据HTML结构,按钮在悬停时显示)
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await item.hover()
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# 点击生成文案按钮
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button = item.locator('button:has-text("生成文案")')
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await button.click()
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print(f"[点击] {title}")
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# 等待30秒
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# await page.wait_for_timeout(30000)
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print(f"[等待完成] {title}")
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# 监听"一键成片"按钮
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print(f"[开始监听] 一键成片按钮")
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should_exit_while_loop = False # 添加标志变量
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while True:
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# 定位"一键成片"按钮
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one_key_button = page.locator("button:has-text('一键成片')")
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# 检查按钮是否存在
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if await one_key_button.count() > 0:
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# 检查按钮是否有disabled属性
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is_disabled = await one_key_button.get_attribute("disabled")
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if is_disabled is None:
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# 按钮不再被禁用,点击它
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print(f"[发现可点击按钮] 一键成片")
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await one_key_button.click() # 先点击一键成片按钮
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# 等待可能出现的"温馨提示"窗口
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print(f"[检查] 是否出现温馨提示窗口")
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await page.wait_for_timeout(2000) # 等待2秒,让窗口有时间显示
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try:
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# 检查是否存在"温馨提示"窗口,设置较短的超时时间
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tip_window = page.locator("div:has-text('温馨提示') >> visible=true")
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if await tip_window.count() > 0:
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print(f"[发现] 温馨提示窗口")
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# 定位并点击"知道了"按钮,设置较短的超时时间
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know_button = page.locator("button:has-text('知道了')")
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if await know_button.count() > 0:
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try:
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# 设置较短的超时时间进行点击
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await know_button.click(timeout=5000)
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print(f"[已点击] 知道了按钮")
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except Exception as e:
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print(f"[警告] 点击知道了按钮时出错: {str(e)}")
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else:
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print(f"[警告] 未找到知道了按钮")
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else:
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print(f"[信息] 未出现温馨提示窗口,继续执行")
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except Exception as e:
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print(f"[警告] 处理温馨提示窗口时出错: {str(e)}")
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# 继续执行,不要因为这个错误中断流程
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# 记录到LocalStorage前打印日志
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print(f"[开始记录] 准备将标题 '{title}' 记录到LocalStorage")
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# 记录到LocalStorage
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await page.evaluate(
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f"""
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(title, processedKey, batchKey) => {{
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// 更新已处理列表
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const processedList = JSON.parse(localStorage.getItem(processedKey) || "[]");
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if (!processedList.includes(title)) {{
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processedList.push(title);
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localStorage.setItem(processedKey, JSON.stringify(processedList));
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}}
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// 更新当前批次记录
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const batchList = JSON.parse(localStorage.getItem(batchKey) || "[]");
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if (!batchList.includes(title)) {{
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batchList.push(title);
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localStorage.setItem(batchKey, JSON.stringify(batchList));
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}}
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}}
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""",
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title, processed_key, batch_key
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)
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# 记录完成后打印日志
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print(f"[记录完成] 标题 '{title}' 已成功记录到LocalStorage")
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print(f"[记录完成] {title}")
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# 监听新打开的标签页
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print(f"[监听] 等待新标签页打开")
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# 获取当前所有页面
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current_pages = context.pages
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current_page_count = len(current_pages)
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# 等待新标签页打开(最多等待10秒)
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new_page = None
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max_wait_time = 10 # 最大等待时间(秒)
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start_time = time.time()
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while time.time() - start_time < max_wait_time:
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# 获取最新的页面列表
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pages = context.pages
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# 如果页面数量增加,说明新标签页已打开
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if len(pages) > current_page_count:
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# 获取最新打开的页面(通常是列表中的最后一个)
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new_page = pages[-1]
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print(f"[发现] 新标签页已打开")
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break
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# 短暂等待后再次检查
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await asyncio.sleep(0.5)
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# 如果找到新标签页,获取其标题和URL并保存
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if new_page:
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# 等待页面加载完成
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try:
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await new_page.wait_for_load_state("domcontentloaded", timeout=5000)
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# 获取页面标题和URL
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page_title = await new_page.title()
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page_url = new_page.url
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print(f"[获取] 标题: {page_title}")
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print(f"[获取] URL: {page_url}")
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# 将标题和URL保存到url.txt文件
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with open("url.txt", "a", encoding="utf-8") as f:
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f.write(f"{page_title}\n{page_url}\n\n")
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print(f"[保存] 标题和URL已保存到url.txt")
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# 等待5秒后关闭新标签页
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print(f"[等待] 5秒后将关闭新标签页")
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await asyncio.sleep(5)
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await new_page.close()
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print(f"[关闭] 新标签页已关闭")
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except Exception as e:
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print(f"[错误] 处理新标签页时出错: {str(e)}")
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try:
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# 尝试关闭页面,即使出错
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await new_page.close()
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print(f"[关闭] 新标签页已关闭(出错后)")
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except:
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pass
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else:
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print(f"[警告] 未检测到新标签页打开")
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# 跳出整个while循环
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print(f"[操作] 跳出所有循环,不再处理其他新闻")
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should_exit_while_loop = True # 设置标志变量
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break # 跳出while循环
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# 检查是否需要跳出while循环
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if should_exit_while_loop:
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break
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# 每秒检查一次按钮状态
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await page.wait_for_timeout(1000)
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# 检查是否需要跳出for循环
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if should_exit_while_loop:
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print(f"[操作] 跳出for循环,完全结束处理")
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break # 跳出for循环
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except Exception as e:
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print(f"处理新闻时出错: {str(e)}")
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continue
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# endregion 操作处
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print(f"[循环完成] 准备关闭浏览器")
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# 暂停 1000s
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await asyncio.sleep(1000) # 这里延迟是为了方便眼睛直观的观看
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# 退出前保存 storage 信息
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await context.storage_state(path=self.account_file) # 保存cookie
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baijiahao_logger.info('cookie更新完毕!')
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await asyncio.sleep(2) # 这里延迟是为了方便眼睛直观的观看
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# 关闭浏览器上下文和浏览器实例
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await context.close()
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await browser.close()
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async def mainAi(self):
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async with async_playwright() as playwright:
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await self.ai2video(playwright)
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Reference in New Issue
Block a user