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Apify/Crawlee Actor 中启用实时截图视图的实用工具库。","maintainers":[{"name":"skrillex12242018","email":"572299072@qq.com"}],"readme":"# Playwright Toolkit\n\n> 面向 Apify/Crawlee Actor 开发者的实用工具库，提供反检测、拟人化操作、实时截图等功能。\n\n## 📦 安装\n\n```bash\nnpm install @skrillex1224/playwright-toolkit\n\n# 反检测所需的依赖\nnpm install playwright ghost-cursor-playwright\n```\n\n## 🚀 快速开始\n\n```javascript\nimport { Actor } from 'apify';\nimport { PlaywrightCrawler } from 'crawlee';\nimport { chromium } from 'playwright';\n\nimport { usePlaywrightToolKit } from '@skrillex1224/playwright-toolkit';\n\nawait Actor.init();\n\n// 初始化工具箱\nconst { ApifyKit: KitHook, Launch, AntiCheat, DeviceInput, Humanize, Captcha, LiveView, Constants } = usePlaywrightToolKit();\n\n// ⚠️ ApifyKit 需要异步初始化\nconst ApifyKit = await KitHook.useApifyKit();\n\n// LiveView\nconst { startLiveViewServer, takeLiveScreenshot } = LiveView.useLiveView();\n\nconst crawlerOptions = Launch.getPlaywrightCrawlerOptions({\n    runInHeadfulMode: false,\n    isRunningAtHome: ApifyKit.isAtHome(),\n    launcher: chromium,\n});\n\nconst crawler = new PlaywrightCrawler({\n    ...crawlerOptions,\n    preNavigationHooks: [\n        ...crawlerOptions.preNavigationHooks,\n        async ({ page }) => {\n            // 验证码监控\n            Captcha.useCaptchaMonitor(page, {\n                domSelector: '#captcha_container',\n                onDetected: async () => { /* 处理验证码 */ }\n            });\n        }\n    ],\n    requestHandler: async ({ page }) => {\n        // 初始化 Cursor\n        await Humanize.initializeCursor(page);\n        \n        // 页面预热 (模拟人类浏览)\n        await Humanize.warmUpBrowsing(page, 3000);\n        \n        // 执行步骤 (失败时自动截图并调用 Actor.fail)\n        await ApifyKit.runStep('输入搜索', page, async () => {\n            await Humanize.humanType(page, 'input', '搜索内容');\n            await Humanize.humanClick(page, '#submit-btn');\n        });\n        \n        // 推送成功数据\n        await ApifyKit.pushSuccess({ result: 'data' });\n    }\n});\n\nawait startLiveViewServer();\nawait crawler.run(['https://example.com']);\nawait Actor.exit();\n```\n\n---\n\n## 🛡️ 反检测功能\n\n### Desktop / Mobile Device\n\n`Constants.ActorInfo[actor].device` 是 visitor 的设备真源，只允许 `desktop` 和 `mobile`，未配置时默认 `desktop`。visitor 继续通过 `RuntimeEnv.parseInput(input, actor.key)` 和 `Launch.getPlaywrightCrawlerOptions({ runtimeState })` 传递状态；把某个 actor 的 `device` 改成 `mobile` 后，toolkit 会生成 Android Chrome 移动端指纹、移动端 viewport/touch context，并切到移动端 Humanize 行为。\n\n已有 `browser_profile.core` 会记录 `device`。当旧 core 的 `device` 与当前 ActorInfo 不一致时，Launch 会重建 core，避免配置看起来是移动端但实际仍复用桌面端指纹。\n\n### 架构\n\n| 层次       | 问题                    | 解决方案                                |\n| ---------- | ----------------------- | --------------------------------------- |\n| **指纹层** | UA/屏幕/语言/时区一致性 | Crawlee `useFingerprints` + `AntiCheat` |\n| **行为层** | 机械输入/点击/滚动      | 桌面端 `ghost-cursor-playwright`，移动端 touch Humanize |\n| **页面层** | 验证码/风控检测         | Captcha 监控器                          |\n\n### API 一览\n\n| 模块        | 方法                                             | 说明                                                                                 |\n| ----------- | ------------------------------------------------ | ------------------------------------------------------------------------------------ |\n| `Launch`    | `getPlaywrightCrawlerOptions(options)`           | 一次性返回 PlaywrightCrawler 所需公共配置（超时/指纹/代理/导航 hook）               |\n| `AntiCheat` | `applyPage(page, options?)`                      | 应用时区/语言/权限/视口                                                              |\n| `AntiCheat` | `applyContext(context, options?)`                | 仅应用 Context 设置                                                                  |\n| `AntiCheat` | `syncViewportWithScreen(page)`                   | 同步视口与屏幕                                                                       |\n| `AntiCheat` | `getTlsFingerprintOptions(userAgent?)`           | got-scraping TLS 指纹                                                                |\n| `Humanize`  | `initializeCursor(page)`                         | 初始化 Cursor (必须先调用)                                                           |\n| `Humanize`  | `jitterMs(base, jitterPercent?)`                 | 生成带抖动的毫秒数 (同步，返回 number)                                               |\n| `Humanize`  | `humanType(page, selector, text, options?)`      | 人类化输入 (baseDelay=180ms ±40%)                                                    |\n| `Humanize`  | `humanPress(page, target?, key, options?)`       | 人类化按键，支持当前焦点或先聚焦目标后按键                                           |\n| `Humanize`  | `humanClick(page, selector, options?)`           | 人类化点击 (reactionDelay=250ms ±40%)                                                |\n| `Humanize`  | `warmUpBrowsing(page, baseDuration?)`            | 页面预热 (3500ms ±40%)                                                               |\n| `Humanize`  | `simulateGaze(page, baseDurationMs?)`            | 模拟注视 (2500ms ±40%)                                                               |\n| `Humanize`  | `randomSleep(baseMs, jitterPercent?)`            | 随机延迟 (±30% 抖动)                                                                 |\n| `DeviceInput` | `click/clickPoint/move/focus/fill/type/press/drag(...)` | 机械输入适配层；根据 page runtime device 自动选择 desktop mouse/click 或 mobile touch/tap |\n| `Captcha`   | `useCaptchaMonitor(page, options)`               | 验证码监控                                                                           |\n\n---\n\n## 📦 模块详解\n\n### DeviceInput\n\n`DeviceInput` 是非拟人化机械操作的统一入口。visitor 和 toolkit 内部如果需要执行“机械点击 / 坐标点击 / focus / fill / type / press / drag”，应调用 `DeviceInput`，不要直接调用 `page.mouse`、`page.touchscreen`、`locator.click()` 这类 Playwright 原生输入 API。\n\n它会读取 `RuntimeEnv.applyToPage()` 写入 page 的 `device` 状态：desktop 下使用 mouse/click 语义，mobile 下点击和拖拽优先使用 touch/tap 语义。`focus/fill/type/press` 这类 Playwright 本身跨设备一致的操作会保持原生语义。\n\n更多规则见 [DEVICE_INPUT.md](./DEVICE_INPUT.md)。\n\n### ApifyKit\n\n**⚠️ 需要异步初始化**\n\n```javascript\nconst { ApifyKit: KitHook } = usePlaywrightToolKit();\nconst ApifyKit = await KitHook.useApifyKit();\n\n// 执行步骤 (失败时自动截图 + 推送 Dataset + 调用 Actor.fail)\nawait ApifyKit.runStep('步骤名', page, async () => {\n    // 你的逻辑\n});\n\n// 宽松版 (失败时只抛出异常，不调用 Actor.fail)\nawait ApifyKit.runStepLoose('步骤名', page, async () => {\n    // 你的逻辑\n});\n\n// 推送成功数据 (data 字段会被包装)\nawait ApifyKit.pushSuccess({ key: 'value' });\n// 输出: { code: 0, status: 'SUCCESS', timestamp: '...', data: { key: 'value' } }\n```\n\n#### CrawlerError\n\n自定义错误类，可携带 `code` 和 `context`，在 `pushFailed` 时自动解析：\n\n```javascript\nconst { Errors, Constants } = usePlaywrightToolKit();\nconst { CrawlerError } = Errors;\nconst { ErrorKeygen } = Constants;\n\n// 简单用法 (只有 message)\nthrow new CrawlerError('未捕获 Feed 接口响应');\n\n// 完整用法 (带 code 和 context)\nthrow new CrawlerError({\n    message: '登录失败',\n    code: ErrorKeygen.NotLogin,  // 会作为 pushFailed 的 code 字段\n    context: { url: currentUrl, userId: '123' }\n});\n\n// 从普通 Error 转换\nthrow CrawlerError.from(originalError, {\n    code: ErrorKeygen.Chaptcha,\n    context: { step: '验证码检测' }\n});\n\n// pushFailed 输出:\n// { code: 30000001, status: 'FAILED', error: {...}, context: {...}, meta: {...}, ... }\n```\n\n### LiveView\n\n```javascript\nconst { LiveView } = usePlaywrightToolKit();\nconst { startLiveViewServer, takeLiveScreenshot } = LiveView.useLiveView();\n\nawait startLiveViewServer();\nawait takeLiveScreenshot(page, '当前状态');\n```\n\n### Captcha\n\n```javascript\nconst { Captcha } = usePlaywrightToolKit();\n\n// DOM 监控模式\nCaptcha.useCaptchaMonitor(page, {\n    domSelector: '#captcha_container',\n    onDetected: async () => { await Actor.fail('检测到验证码'); }\n});\n\n// URL 监控模式\nCaptcha.useCaptchaMonitor(page, {\n    urlPattern: '/captcha',\n    onDetected: async () => { await Actor.fail('检测到验证码'); }\n});\n```\n\n### Constants\n\n```javascript\nconst { Constants } = usePlaywrightToolKit();\nconst { ErrorKeygen, Status, StatusCode } = Constants;\n\n// ErrorKeygen: { NotLogin: 30000001, Chaptcha: 30000002 }\n// Status: { Success: 'SUCCESS', Failed: 'FAILED' }\n// StatusCode: { Success: 0, Failed: -1 }\n```\n\n### Utils\n\n```javascript\nconst { Utils } = usePlaywrightToolKit();\n\n// 解析 SSE 流文本\nconst events = Utils.parseSseStream(sseText);\n\n// 解析 Cookie 字符串\nconst cookies = Utils.parseCookies('key=value; key2=value2', '.example.com');\nawait page.context().addCookies(cookies);\n\n// 全页面滚动截图 (自动检测所有滚动元素，强制展开后截图，默认会执行 watermarkify)\n// 默认会将返回的 base64 压缩到 500KiB 以内，避免 Apify/Crawlee dataset 单条 item 超限\nconst base64Image = await Share.captureScreen(page);\n\n// 截图只使用当前页面运行时 viewport；移动端请通过 ActorInfo.device 切换，不再通过截图参数覆盖\n// 仅在完成后恢复页面高度和展开过的滚动容器\nconst image2 = await Share.captureScreen(page, { restore: true });\n\n// 显式配置 watermarkify：全页淡水印 + 底部一行细条\nconst image3 = await Share.captureScreen(page, {\n  watermarkify: {\n    query: '你好',\n    timezoneOffsetHours: 8,\n    // 默认会在同一浏览器上下文里访问 https://myip.ipip.net/json 补充 IP / Loc，超时默认 10000ms\n  },\n});\n\n// 可选：关闭内置 IP 查询，或用你自己的 resolver 覆盖 / 补充\nconst image4 = await Share.captureScreen(page, {\n  watermarkify: {\n    query: '你好',\n    ipLookup: false,\n    resolverTimeoutMs: 180,\n    resolver: async ({ signal }) => {\n      const resp = await fetch('https://example.com/ip', { signal });\n      const data = await resp.json();\n      return { ip: data.ip, location: data.city };\n    },\n    watermark: { opacity: 0.07, rotateDeg: -18 },\n  },\n});\n\n// Prompt 字段默认取值链路：query -> prompt -> 页面 title\n// 所以 runtime input 只传 query 就够了，底部 Prompt 展示的就是实际问 AI 的 query\n\n// 如需原始截图，可显式关闭 watermarkify\nconst image5 = await Share.captureScreen(page, {\n  watermarkify: false,\n});\n// 指定更小的返回体积。内部使用 Jimp 重编码：优先降 JPEG 质量，仍超限时再等比缩放。\nconst image6 = await Share.captureScreen(page, {\n  maxBytes: 4 * 1024 * 1024,\n  quality: 60,\n  minQuality: 35,\n  outputType: 'jpeg',\n});\n// 返回 base64 编码图片，默认输出会在超限时转为 JPEG 压缩\n```\n\n---\n\n## 🧾 新增日志模板\n\n日志模板统一维护在 `playwright-toolkit/src/logger.js` 的 `LOG_DEFINITIONS`。\n\n1) 在 `LOG_DEFINITIONS` 新增一项，至少包含：\n- `key`: 全局唯一标识（用于诊断匹配）\n- `method`: 暴露给 `Logger.useTemplate()` 的方法名\n- `label/group/step/status/level/attention`\n- 可选 `buildDetails` / `throttleMs` / `throttleKey`\n\n2) 在 `playwright-toolkit/index.d.ts` 的 `LoggerTemplate` 补充同名方法签名。\n\n3) 使用示例：\n\n```javascript\nimport { usePlaywrightToolKit } from '@skrillex1224/playwright-toolkit';\n\nconst { Logger } = usePlaywrightToolKit();\nconst templateLogger = Logger.useTemplate();\ntemplateLogger.domChunk(120, 'preview text', true);\n```\n\n注意：\n- 模板会自动添加 `[#log:<key>]` 标签用于日志诊断。\n- 新增模板后需要重新构建/发布 toolkit。\n\n---\n\n## 📄 License\n\nISC\n","readmeFilename":"README.md"}