From cc226fed639352f477a430214e99f64d97d9cc06 Mon Sep 17 00:00:00 2001 From: foxhui Date: Sun, 21 Dec 2025 20:21:31 +0800 Subject: [PATCH] =?UTF-8?q?feat:=20=E6=94=AF=E6=8C=81=20Gemini=20=E7=BD=91?= =?UTF-8?q?=E9=A1=B5=E7=89=88=E6=96=87=E6=9C=AC=E7=94=9F=E6=88=90?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- CHANGELOG.md | 12 +- README.md | 4 +- config.example.yaml | 2 + src/backend/adapter/gemini.js | 116 +++-- src/backend/adapter/gemini_text.js | 428 ++++++++++++++++++ .../{zenmux_ai.js => zenmux_ai_text.js} | 0 src/backend/utils/page.js | 23 +- test.txt | 220 +++++++++ 8 files changed, 732 insertions(+), 73 deletions(-) create mode 100644 src/backend/adapter/gemini_text.js rename src/backend/adapter/{zenmux_ai.js => zenmux_ai_text.js} (100%) create mode 100644 test.txt diff --git a/CHANGELOG.md b/CHANGELOG.md index 73c4cfd..1e7f15d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,16 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [3.3.0] - 2025-12-20 + +### ✨ Added +- **新增适配器** + - 支持 ZenMux + +### 🔄 Changed +- **清理历史遗留** + - 清除历史遗留的多余的逻辑 + ## [3.2.1] - 2025-12-20 ### ✨ Added @@ -108,7 +118,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### ✨ Added - **Docker 支持** - - 发布 Docker 镜像 [foxhui/lmarena-imagen-automator](https://hub.docker.com/r/foxhui/lmarena-imagen-automator). + - 发布 Docker 镜像 ## [2.2.1] - 2025-12-12 diff --git a/README.md b/README.md index a5efc2c..7855a94 100644 --- a/README.md +++ b/README.md @@ -31,8 +31,8 @@ | [**LMArena**](https://lmarena.ai/) | ✅ | ✅ | | [**Gemini Enterprise Business**](https://business.gemini.google/) | ✅ | ✅ | | [**Nano Banana Free**](https://nanobananafree.ai/) | ❌ | ✅ | -| [**zAI**](https://zai.is/) | ❌ | ✅ | `gemini-exp-1206` 等 | -| [**Google Gemini**](https://gemini.google.com/) | ❌ | ✅ | +| [**zAI**](https://zai.is/) | ❌ | ✅ | +| [**Google Gemini**](https://gemini.google.com/) | ✅ | ✅ | | [**ZenMux**](https://zenmux.ai/) | ✅ | ❌ | > [!NOTE] diff --git a/config.example.yaml b/config.example.yaml index bbd0f83..3a30d6c 100644 --- a/config.example.yaml +++ b/config.example.yaml @@ -61,8 +61,10 @@ backend: # gemini_biz # gemini_biz_text # gemini + # gemini_text # zai_is # nanobananafree_ai + # zenmux_ai_text type: lmarena # 适配器类型 # ------------------------------------------------ diff --git a/src/backend/adapter/gemini.js b/src/backend/adapter/gemini.js index 8938233..f3a35d2 100644 --- a/src/backend/adapter/gemini.js +++ b/src/backend/adapter/gemini.js @@ -10,9 +10,11 @@ import { import { fillPrompt, normalizePageError, + normalizeHttpError, moveMouseAway, waitForInput, - gotoWithCheck + gotoWithCheck, + waitApiResponse } from '../utils/index.js'; import { logger } from '../../utils/logger.js'; @@ -81,77 +83,61 @@ async function generate(context, prompt, imgPaths, modelId, meta = {}) { await safeClick(page, createImagesBtn, { bias: 'button' }); await sleep(500, 1000); - // 6. 设置响应监听 - 等待 StreamGenerate 成功后捕获图片 - let imageData = null; - - const imagePromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - cleanup(); - reject(new Error('等待图片响应超时 (120秒)')); - }, 120000); - - let streamGenerateSuccess = false; - - const onResponse = async (response) => { - const url = response.url(); - - // 先等待 StreamGenerate 成功 - if (!streamGenerateSuccess && - url.includes('assistant.lamda.BardFrontendService/StreamGenerate') && - response.request().method() === 'POST' && - response.status() === 200) { - streamGenerateSuccess = true; - logger.info('适配器', '生成请求成功,等待图片...', meta); - } - - // StreamGenerate 成功后,捕获图片响应 - if (streamGenerateSuccess && - url.includes('googleusercontent.com/rd-gg-dl') && - url.includes('=s1024-rj') && - response.request().method() === 'GET' && - response.status() === 200) { - try { - // 直接获取图片二进制数据 - const buffer = await response.body(); - const base64 = buffer.toString('base64'); - - // 根据 Content-Type 确定图片格式 - const contentType = response.headers()['content-type'] || 'image/jpeg'; - imageData = `data:${contentType};base64,${base64}`; - - logger.info('适配器', '已捕获图片数据', meta); - cleanup(); - resolve(imageData); - } catch (e) { - logger.warn('适配器', `捕获图片失败: ${e.message}`, meta); - } - } - }; - - const cleanup = () => { - clearTimeout(timeout); - page.off('response', onResponse); - }; - - page.on('response', onResponse); - }); - - // 7. 点击发送 + // 6. 点击发送 logger.debug('适配器', '点击发送...', meta); await safeClick(page, sendBtnLocator, { bias: 'button' }); logger.info('适配器', '等待生成结果...', meta); - // 7. 等待图片响应 - const image = await imagePromise; - - if (image) { - logger.info('适配器', '已获取图片,任务完成', meta); - return { image }; - } else { - return { error: '未能获取图片' }; + // 7. 等待 StreamGenerate API + let streamApiResponse; + try { + streamApiResponse = await waitApiResponse(page, { + urlMatch: 'assistant.lamda.BardFrontendService/StreamGenerate', + method: 'POST', + timeout: 120000, + meta + }); + } catch (e) { + const pageError = normalizePageError(e, meta); + if (pageError) return pageError; + throw e; } + // 检查 HTTP 错误 + const httpError = normalizeHttpError(streamApiResponse); + if (httpError) { + logger.error('适配器', `API 返回错误: ${httpError.error}`, meta); + return { error: `API 返回错误: ${httpError.error}` }; + } + + logger.info('适配器', '生成请求成功,等待图片...', meta); + + // 8. 等待图片响应 + let imageResponse; + try { + imageResponse = await waitApiResponse(page, { + urlMatch: 'googleusercontent.com/rd-gg-dl', + urlContains: '=s1024-rj', + method: 'GET', + timeout: 60000, + meta + }); + } catch (e) { + const pageError = normalizePageError(e, meta); + if (pageError) return pageError; + throw e; + } + + // 获取图片数据 + const buffer = await imageResponse.body(); + const base64 = buffer.toString('base64'); + const contentType = imageResponse.headers()['content-type'] || 'image/jpeg'; + const imageData = `data:${contentType};base64,${base64}`; + + logger.info('适配器', '已获取图片,任务完成', meta); + return { image: imageData }; + } catch (err) { // 顶层错误处理 const pageError = normalizePageError(err, meta); diff --git a/src/backend/adapter/gemini_text.js b/src/backend/adapter/gemini_text.js new file mode 100644 index 0000000..cbf1818 --- /dev/null +++ b/src/backend/adapter/gemini_text.js @@ -0,0 +1,428 @@ +/** + * @fileoverview Gemini(消费者版)文本适配器 + */ + +import { + sleep, + safeClick, + uploadFilesViaChooser +} from '../engine/utils.js'; +import { + fillPrompt, + normalizePageError, + normalizeHttpError, + moveMouseAway, + waitForInput, + gotoWithCheck, + waitApiResponse +} from '../utils/index.js'; +import { logger } from '../../utils/logger.js'; + +// --- 配置常量 --- +const TARGET_URL = 'https://gemini.google.com/app?hl=en'; + +/** + * 执行文本生成任务 + * @param {object} context - 浏览器上下文 { page, config } + * @param {string} prompt - 提示词 + * @param {string[]} imgPaths - 图片路径数组 + * @param {string} [modelId] - 模型 ID (此适配器未使用) + * @param {object} [meta={}] - 日志元数据 + * @returns {Promise<{text?: string, error?: string}>} + */ +async function generate(context, prompt, imgPaths, modelId, meta = {}) { + const { page } = context; + const inputLocator = page.getByRole('textbox'); + const sendBtnLocator = page.getByRole('button', { name: 'Send message' }); + + try { + logger.info('适配器', '开启新会话...', meta); + await gotoWithCheck(page, TARGET_URL); + + // 1. 等待输入框加载 + await waitForInput(page, inputLocator, { click: false }); + await sleep(1500, 2500); + + // 2. 上传图片 + if (imgPaths && imgPaths.length > 0) { + logger.debug('适配器', '点击加号按钮...', meta); + const uploadMenuBtn = page.getByRole('button', { name: 'Open upload file menu' }); + await safeClick(page, uploadMenuBtn, { bias: 'button' }); + await sleep(500, 1000); + + const uploadFilesBtn = page.getByRole('button', { name: /Upload files/ }); + await uploadFilesViaChooser(page, uploadFilesBtn, imgPaths, { + uploadValidator: (response) => { + const url = response.url(); + return response.status() === 200 && + url.includes('google.com/upload/') && + url.includes('upload_id='); + } + }); + + await sleep(1000, 2000); + } + + // 3. 填写提示词 + await safeClick(page, inputLocator, { bias: 'input' }); + await fillPrompt(page, inputLocator, prompt, meta); + await sleep(500, 1000); + + // 4. 选择模型(如果指定了 modelId) + if (modelId) { + try { + logger.debug('适配器', `准备选择模型: ${modelId}`, meta); + + // 点击输入框确保焦点 + await inputLocator.focus(); + await sleep(300, 500); + + // 按 3 次 Tab 键到达模型选择按钮 + await page.keyboard.press('Tab'); + await sleep(100, 200); + await page.keyboard.press('Tab'); + await sleep(100, 200); + await page.keyboard.press('Tab'); + await sleep(200, 300); + + // 按回车打开模型菜单 + await page.keyboard.press('Enter'); + await sleep(500, 800); + + // 获取所有 menuitemradio 选项 + const menuItems = await page.getByRole('menuitemradio').all(); + + if (menuItems.length === 0) { + logger.warn('适配器', '未找到模型选项,使用默认模型', meta); + } else { + // 获取所有选项的文本(去除前后空白) + const itemTexts = []; + for (const item of menuItems) { + const text = await item.textContent(); + itemTexts.push((text || '').trim()); + } + + logger.debug('适配器', `可用模型选项: [${itemTexts.join('], [')}]`, meta); + + // 判断是否有 Pro 选项 + const hasPro = itemTexts.some(text => text.startsWith('Pro')); + + // 确定要选择的目标选项文本前缀 + let targetPrefix = null; + + if (hasPro) { + // 有 Pro 选项的情况 + if (modelId === 'gemini-3-pro' || modelId === 'gemini-exp-1206') { + targetPrefix = 'Pro'; + } else if (modelId === 'gemini-3-flash' || modelId === 'gemini-2.0-flash-exp') { + targetPrefix = 'Thinking'; + } else { + targetPrefix = 'Fast'; + } + } else { + // 没有 Pro 选项的情况 + if (modelId === 'gemini-3-pro' || modelId === 'gemini-exp-1206') { + targetPrefix = 'Thinking'; + } else { + targetPrefix = 'Fast'; + } + } + + logger.debug('适配器', `目标模型前缀: "${targetPrefix}"`, meta); + + // 查找并点击对应的选项 + let found = false; + for (let i = 0; i < menuItems.length; i++) { + if (itemTexts[i].startsWith(targetPrefix)) { + await safeClick(page, menuItems[i], { bias: 'button' }); + logger.info('适配器', `已选择模型: "${itemTexts[i]}"`, meta); + found = true; + break; + } + } + + if (!found) { + logger.warn('适配器', `未找到匹配的模型选项 (${targetPrefix}),使用默认模型`, meta); + // 按 Escape 关闭菜单 + await page.keyboard.press('Escape'); + } + + await sleep(300, 500); + } + } catch (e) { + logger.warn('适配器', `模型选择失败: ${e.message},继续使用默认模型`, meta); + // 尝试关闭可能打开的菜单 + try { + await page.keyboard.press('Escape'); + } catch { } + } + } + + // 5. 点击发送 + logger.debug('适配器', '点击发送...', meta); + await safeClick(page, sendBtnLocator, { bias: 'button' }); + + logger.info('适配器', '等待生成结果...', meta); + + // 5. 等待 API 响应 + let apiResponse; + try { + apiResponse = await waitApiResponse(page, { + urlMatch: 'assistant.lamda.BardFrontendService/StreamGenerate', + method: 'POST', + timeout: 120000, + meta + }); + } catch (e) { + const pageError = normalizePageError(e, meta); + if (pageError) return pageError; + throw e; + } + + // 检查 HTTP 错误 + const httpError = normalizeHttpError(apiResponse); + if (httpError) { + logger.error('适配器', `API 返回错误: ${httpError.error}`, meta); + return { error: `API 返回错误: ${httpError.error}` }; + } + + // 6. 解析响应体 + const bodyBuffer = await apiResponse.body(); + logger.debug('适配器', `收到响应体,字节数: ${bodyBuffer.length}`, meta); + + const text = getFinalAiTextFromResponse(bodyBuffer); + + if (text) { + logger.info('适配器', `解析成功,文本长度: ${text.length}`, meta); + return { text }; + } else { + return { error: '未能从响应中提取文本' }; + } + + } catch (err) { + const pageError = normalizePageError(err, meta); + if (pageError) return pageError; + + logger.error('适配器', '生成任务失败', { ...meta, error: err.message }); + return { error: `生成任务失败: ${err.message}` }; + } finally { + await moveMouseAway(page); + } +} + +/** + * 适配器 manifest + */ +export const manifest = { + id: 'gemini_text', + displayName: 'Gemini Text (Consumer)', + + getTargetUrl(config, workerConfig) { + return TARGET_URL; + }, + + models: [ + { id: 'gemini-2.0-flash-exp', imagePolicy: 'optional', type: 'text' }, + { id: 'gemini-exp-1206', imagePolicy: 'optional', type: 'text' }, + { id: 'gemini-3-pro', imagePolicy: 'optional', type: 'text' }, + { id: 'gemini-3-flash', imagePolicy: 'optional', type: 'text' } + ], + + navigationHandlers: [], + + generate +}; + +// ========================================== +// 解析 gRPC Batchexecute +// ========================================== + +/** + * 解析 batchexecute/batch RPC 响应(直接操作 Buffer) + * @param {Buffer} buf - 响应体 Buffer + */ +function parseLenFramedResponse(buf) { + let i = 0; + + // 去掉 )]}\' 这种 XSSI 前缀(通常是第一行) + if (buf.length >= 4 && buf[0] === 0x29 && buf[1] === 0x5d && buf[2] === 0x7d) { + const firstNl = buf.indexOf(0x0a); + if (firstNl !== -1) i = firstNl + 1; + } + + const frames = []; + + const readLineBuf = () => { + if (i >= buf.length) return null; + const nl = buf.indexOf(0x0a, i); + let line; + if (nl === -1) { + line = buf.slice(i); + i = buf.length; + } else { + line = buf.slice(i, nl); + i = nl + 1; + } + // strip trailing \r + if (line.length && line[line.length - 1] === 0x0d) line = line.slice(0, -1); + return line; + }; + + let pendingLen = null; + + while (true) { + const lineBuf = readLineBuf(); + if (lineBuf === null) break; + + const lineStr = lineBuf.toString('utf8').trim(); + if (!lineStr) continue; + + // 先找长度行(纯数字) + if (pendingLen === null) { + if (/^\d+$/.test(lineStr)) pendingLen = Number(lineStr); + continue; + } + + // 读到 payload 行;大多数情况下 payload 是单行 JSON。 + // 这里**不依赖** pendingLen 的数值(它有时会不准),而是: + // 1) 先尝试解析当前行 + // 2) 若报“JSON 未结束”一类错误,再把后续行拼上重试(极少见) + let chunkBuf = lineBuf; + let chunkStr = chunkBuf.toString('utf8').trim(); + + while (true) { + try { + frames.push(JSON.parse(chunkStr)); + break; + } catch (e) { + // 只有在明显是“截断/未结束”的情况下,才继续拼下一行 + const msg = String(e && e.message || ''); + const looksTruncated = /Unexpected end of JSON input|Unterminated string/.test(msg); + + if (!looksTruncated) { + const head = chunkStr.slice(0, 220); + const tail = chunkStr.slice(-220); + throw new Error( + `Chunk JSON parse failed: ${msg}\n` + + `Chunk head: ${head}\n` + + `Chunk tail: ${tail}\n` + + `LenHeader: ${pendingLen} | ActualBytes: ${Buffer.byteLength(chunkStr, 'utf8')}` + ); + } + + // 读取下一行进行拼接,但如果下一行是“纯数字长度行”,不要吞掉它 + const savedPos = i; + const next = readLineBuf(); + if (next === null) { + const head = chunkStr.slice(0, 220); + const tail = chunkStr.slice(-220); + throw new Error( + `Chunk JSON parse failed: ${msg} (EOF)\n` + + `Chunk head: ${head}\n` + + `Chunk tail: ${tail}\n` + + `LenHeader: ${pendingLen} | ActualBytes: ${Buffer.byteLength(chunkStr, 'utf8')}` + ); + } + + const nextStr = next.toString('utf8').trim(); + if (/^\d+$/.test(nextStr)) { + // 回退,交给外层当作下一段的 length line + i = savedPos; + const head = chunkStr.slice(0, 220); + const tail = chunkStr.slice(-220); + throw new Error( + `Chunk JSON parse failed: ${msg} (hit next length line)\n` + + `Chunk head: ${head}\n` + + `Chunk tail: ${tail}\n` + + `LenHeader: ${pendingLen} | ActualBytes: ${Buffer.byteLength(chunkStr, 'utf8')}` + ); + } + + // 把分隔符 \n 加回去 + chunkBuf = Buffer.concat([chunkBuf, Buffer.from('\n'), next]); + chunkStr = chunkBuf.toString('utf8').trim(); + } + } + + pendingLen = null; + } + + return frames; +} + +/** + * 把 frame 里的 payload 再 parse 一次 + */ +function extractPayloads(frames) { + const payloads = []; + for (const frame of frames) { + if (!Array.isArray(frame)) continue; + + // frame 可能是 [["wrb.fr", null, ""]] 也可能有多个 item + for (const item of frame) { + if (!Array.isArray(item)) continue; + const payloadStr = item[2]; + if (typeof payloadStr !== "string") continue; + + try { + payloads.push(JSON.parse(payloadStr)); + } catch { + // ignore non-payload frames + } + } + } + return payloads; +} + +/** + * 在任意嵌套结构里,找形如 ["rc_xxx", ["text..."], ...] 的节点 + */ +function collectRcTextsDeep(root) { + const bestByRc = new Map(); + + const stack = [root]; + while (stack.length) { + const cur = stack.pop(); + if (!cur) continue; + + if (Array.isArray(cur)) { + const maybeRc = cur[0]; + const maybeArr = cur[1]; + if ( + typeof maybeRc === "string" && + maybeRc.startsWith("rc_") && + Array.isArray(maybeArr) + ) { + const text = maybeArr.filter(v => typeof v === "string").join(""); + if (text) { + const prev = bestByRc.get(maybeRc) || ""; + if (text.length >= prev.length) bestByRc.set(maybeRc, text); + } + } + + for (const v of cur) stack.push(v); + } else if (typeof cur === "object") { + for (const v of Object.values(cur)) stack.push(v); + } + } + + return bestByRc; +} + +/** + * 从响应体 Buffer 中提取最终 AI 文本 + * @param {Buffer} bodyBuffer - 响应体 Buffer + */ +function getFinalAiTextFromResponse(bodyBuffer) { + const frames = parseLenFramedResponse(bodyBuffer); + const payloads = extractPayloads(frames); + + let best = ""; + for (const payload of payloads) { + const m = collectRcTextsDeep(payload); + for (const text of m.values()) { + if (text.length > best.length) best = text; + } + } + return best; +} \ No newline at end of file diff --git a/src/backend/adapter/zenmux_ai.js b/src/backend/adapter/zenmux_ai_text.js similarity index 100% rename from src/backend/adapter/zenmux_ai.js rename to src/backend/adapter/zenmux_ai_text.js diff --git a/src/backend/utils/page.js b/src/backend/utils/page.js index 7ff100c..424722d 100644 --- a/src/backend/utils/page.js +++ b/src/backend/utils/page.js @@ -219,12 +219,13 @@ export async function moveMouseAway(page) { * @param {import('playwright-core').Page} page - Playwright 页面对象 * @param {object} options - 等待选项 * @param {string} options.urlMatch - URL 匹配字符串 + * @param {string|string[]} [options.urlContains] - URL 必须额外包含的字符串(可选,可以是数组) * @param {string} [options.method='POST'] - HTTP 方法 * @param {number} [options.timeout=120000] - 超时时间(毫秒) * @returns {Promise} 响应对象 */ export async function waitApiResponse(page, options = {}) { - const { urlMatch, method = 'POST', timeout = 120000 } = options; + const { urlMatch, urlContains, method = 'POST', timeout = 120000 } = options; if (!isPageValid(page)) { throw new Error('PAGE_INVALID'); @@ -234,10 +235,22 @@ export async function waitApiResponse(page, options = {}) { try { const responsePromise = page.waitForResponse( - response => - response.url().includes(urlMatch) && - response.request().method() === method && - (response.status() === 200 || response.status() >= 400), + response => { + const url = response.url(); + + // 基础匹配 + if (!url.includes(urlMatch)) return false; + + // 额外的 URL 包含检查 + if (urlContains) { + const containsArray = Array.isArray(urlContains) ? urlContains : [urlContains]; + if (!containsArray.every(str => url.includes(str))) return false; + } + + // 方法和状态检查 + return response.request().method() === method && + (response.status() === 200 || response.status() >= 400); + }, { timeout } ); diff --git a/test.txt b/test.txt new file mode 100644 index 0000000..6cf8962 --- /dev/null +++ b/test.txt @@ -0,0 +1,220 @@ +) +] +}' + +160 +[["wrb.fr",null,"[null,[null,\"r_0ad429c114b8bb32\"],{\"18\":\"r_0ad429c114b8bb32\",\"21\":[\"TMChiqs7wiPVMx-XhjLdNlzfQCESChs5Jb3HNUDZWhk\"],\"44\":false}]"]] +1177 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