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52 KiB
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52 KiB
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{"repo": "bigcathakimi/kuankuantjblog.github.io", "files": {"server/routes/ai-advanced.js": {"0a378508f768e8a0462a6cfeff024834597c6bef": {"t": 1785746008.423938, "n": 21660, "h": "e86d21c0257b8fcf", "c": "/**\n * AI大模型深度集成路由\n * 第六轮创新性功能 - AI Large Model Integration\n * \n * 功能模块：\n * 2.1 智能客服机器人\n * 2.2 内容自动生成\n * 2.3 智能代码审查\n * 2.4 多模态AI理解\n */\n\nconst express = require('express');\nconst router = express.Router();\nconst { body, validationResult } = require('express-validator');\nconst rateLimit = require('express-rate-limit');\n\n// AI服务提供商配置\nconst AI_PROVIDERS = {\n openai: {\n baseUrl: 'https://api.openai.com/v1',\n models: ['gpt-4', 'gpt-4-turbo', 'gpt-3.5-turbo', 'dall-e-3', 'whisper-1']\n },\n anthropic: {\n baseUrl: 'https://api.anthropic.com/v1',\n models: ['claude-3-opus', 'claude-3-sonnet', 'claude-3-haiku']\n },\n gemini: {\n baseUrl: 'https://generativelanguage.googleapis.com/v1',\n models: ['gemini-pro', 'gemini-pro-vision', 'gemini-ultra']\n },\n deepseek: {\n baseUrl: 'https://api.deepseek.com/v1',\n models: ['deepseek-chat', 'deepseek-coder']\n },\n siliconflow: {\n baseUrl: 'https://api.siliconflow.cn/v1',\n models: ['Qwen/Qwen2.5-72B-Instruct', 'deepseek-ai/DeepSeek-R1', 'Pro/deepseek-ai/DeepSeek-R1']\n }\n};\n\n// AI请求限流\nconst aiLimiter = rateLimit({\n windowMs: 1 * 60 * 1000, // 1分钟\n max: 20, // 每用户最多20次请求\n message: { error: 'AI服务调用过于频繁，请稍后再试' }\n});\n\n// 中间件：验证请求\nconst validateRequest = (req, res, next) => {\n const errors = validationResult(req);\n if (!errors.isEmpty()) {\n return res.status(400).json({ errors: errors.array() });\n }\n next();\n};\n\n// ==================== 2.1 智能客服机器人 ====================\n\n/**\n * 智能客服对话\n * POST /api/ai/chat\n */\nrouter.post('/chat', aiLimiter, [\n body('message').trim().isLength({ min: 1, max: 2000 }).withMessage('消息长度1-2000字符'),\n body('sessionId').optional().isString(),\n body('context').optional().isArray(),\n validateRequest\n], async (req, res) => {\n try {\n const { message, sessionId = `session_${Date.now()}`, context = [], provider = 'siliconflow' } = req.body;\n \n // 构建系统提示词\n const systemPrompt = `你是 \"Hakimi 的猫爬架\" 博客平台的AI助手，一个友好、专业的智能客服。\n\n平台功能：\n- 博客文章发布、阅读、评论\n- 用户等级系统和积分奖励\n- NFT铸造和代币经济\n- 实时协作编辑\n- 游戏化社交功能\n\n回复原则：\n1. 使用中文回复，语气友好亲切\n2. 回答要简洁明了，避免冗长\n3. 遇到技术问题提供具体解决步骤\n4. 不清楚的问题诚实告知，不要编造\n5. 适当使用emoji增加亲和力\n\n当前时间：${new Date().toLocaleString('zh-CN')}`;\n\n // 构建消息历史\n const messages = [\n { role: 'system', content: systemPrompt },\n ...context.slice(-10), // 保留最近10条上下文\n { role: 'user', content: message }\n ];\n\n // 调用AI模型\n const response = await callAIProvider(provider, messages, {\n temperature: 0.7,\n max_tokens: 2000\n });\n\n res.json({\n success: true,\n data: {\n reply: response.content,\n sessionId,\n suggestions: generateSuggestions(message, response.content),\n usedTokens: response.usage?.total_tokens || 0\n }\n });\n } catch (error) {\n console.error('AI Chat Error:', error);\n res.status(500).json({ error: 'AI服务暂时不可用', details: error.message });\n }\n});\n\n/**\n * 流式对话 (SSE)\n * GET /api/ai/chat/stream\n */\nrouter.get('/chat/stream', async (req, res) => {\n const { message, sessionId, provider = 'siliconflow' } = req.query;\n \n res.setHeader('Content-Type', 'text/event-stream');\n res.setHeader('Cache-Control', 'no-cache');\n res.setHeader('Connection', 'keep-alive');\n\n try {\n const systemPrompt = `你是博客平台的AI助手，请简洁友好地回答用户问题。`;\n const messages = [\n { role: 'system', content: systemPrompt },\n { role: 'user', content: message }\n ];\n\n // 模拟流式响应\n const response = await callAIProvider(provider, messages, { stream: true });\n \n // 分批发送\n const chunks = response.content.split('');\n for (const chunk of chunks) {\n res.write(`data: ${JSON.stringify({ chunk, done: false })}\\n\\n`);\n await new Promise(r => setTimeout(r, 20));\n }\n \n res.write(`data: ${JSON.stringify({ done: true, sessionId })}\\n\\n`);\n res.end();\n } catch (error) {\n res.write(`data: ${JSON.stringify({ error: error.message })}\\n\\n`);\n res.end();\n }\n});\n\n/**\n * 常见问题智能回复\n * POST /api/ai/faq\n */\nrouter.post('/faq', async (req, res) => {\n const { question } = req.body;\n \n // 预设FAQ知识库\n const faqDatabase = {\n '如何发布文章': {\n answer: '点击顶部导航栏的\"写文章\"按钮，进入编辑器即可创作。支持Markdown格式和富文本编辑。',\n link: '/editor.html'\n },\n '如何获得积分': {\n answer: '每日签到、发布文章、获得点赞评论都可以赚取积分。连续签到还有额外奖励哦！',\n link: '/coins.html'\n },\n 'NFT是什么': {\n answer: 'NFT（非同质化代币）是区块链上的独特数字资产。您可以将文章铸造为NFT，获得永久数字所有权证明。',\n link: '/nft-guide.html'\n },\n '如何连接钱包': {\n answer: '在个人设置页面点击\"连接钱包\"，支持MetaMask等主流钱包。连接后可进行NFT铸造和代币交易。',\n link: '/profile.html'\n }\n };\n\n // 语义匹配\n const matched = Object.entries(faqDatabase).find(([q]) => \n question.includes(q) || similarity(question, q) > 0.6\n );\n\n if (matched) {\n res.json({ success: true, data: matched[1], matched: true });\n } else {\n // 未匹配到，走AI生成\n const aiResponse = await callAIProvider('siliconflow', [\n { role: 'system', content: '回答用户关于博客平台的问题' },\n { role: 'user', content: question }\n ]);\n res.json({ success: true, data: { answer: aiResponse.content }, matched: false });\n }\n});\n\n// ==================== 2.2 内容自动生成 ====================\n\n/**\n * 文章标题生成\n * POST /api/ai/generate/title\n */\nrouter.post('/generate/title', aiLimiter, [\n body('content').trim().isLength({ min: 10 }).withMessage('内容至少需要10个字符'),\n validateRequest\n], async (req, res) => {\n try {\n const { content, count = 5 } = req.body;\n \n const prompt = `根据以下内容生成${count}个吸引人的文章标题：\n\n内容摘要：${content.substring(0, 1000)}\n\n要求：\n1. 标题要简洁有力，不超过20字\n2. 要有吸引力，能引起读者兴趣\n3. 符合中文阅读习惯\n4. 提供多种风格：专业型、趣味型、悬念型\n\n请直接返回标题列表，每行一个：`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ], { temperature: 0.8 });\n\n const titles = response.content.split('\\n')\n .map(t => t.replace(/^\\d+\\.\\s*/, '').trim())\n .filter(t => t.length > 0);\n\n res.json({ success: true, data: { titles: titles.slice(0, count) } });\n } catch (error) {\n res.status(500).json({ error: '生成失败', details: error.message });\n }\n});\n\n/**\n * 文章摘要生成\n * POST /api/ai/generate/summary\n */\nrouter.post('/generate/summary', aiLimiter, [\n body('content').trim().isLength({ min: 100 }).withMessage('内容至少需要100个字符'),\n validateRequest\n], async (req, res) => {\n try {\n const { content, maxLength = 200 } = req.body;\n \n const prompt = `请为以下文章生成摘要，限制在${maxLength}字以内：\n\n${content.substring(0, 3000)}\n\n要求：\n1. 突出核心观点和关键信息\n2. 语言流畅，逻辑清晰\n3. 不包含\"本文\"、\"作者\"等词，直接陈述要点`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ], { max_tokens: 500 });\n\n res.json({ success: true, data: { summary: response.content.trim() } });\n } catch (error) {\n res.status(500).json({ error: '生成失败', details: error.message });\n }\n});\n\n/**\n * 文章内容续写\n * POST /api/ai/generate/continue\n */\nrouter.post('/generate/continue', aiLimiter, [\n body('content').trim().isLength({ min: 50 }).withMessage('内容至少需要50个字符'),\n body('tone').optional().isIn(['professional', 'casual', 'humorous', 'academic']),\n validateRequest\n], async (req, res) => {\n try {\n const { content, tone = 'professional', wordCount = 300 } = req.body;\n \n const toneMap = {\n professional: '专业严谨',\n casual: '轻松随意',\n humorous: '幽默风趣',\n academic: '学术规范'\n };\n\n const prompt = `请根据以下内容续写文章，续写约${wordCount}字：\n\n已写内容：\n${content.substring(-500)}\n\n要求：\n1. 语气风格：${toneMap[tone]}\n2. 保持与上文的一致性\n3. 自然过渡，不生硬\n4. 丰富内容，添加具体细节或例子\n\n续写内容：`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ], { temperature: 0.7, max_tokens: 2000 });\n\n res.json({ success: true, data: { continuation: response.content.trim() } });\n } catch (error) {\n res.status(500).json({ error: '续写失败', details: error.message });\n }\n});\n\n/**\n * SEO优化建议\n * POST /api/ai/generate/seo\n */\nrouter.post('/generate/seo', aiLimiter, [\n body('title').trim().isLength({ min: 1 }),\n body('content').optional().isString(),\n validateRequest\n], async (req, res) => {\n try {\n const { title, content = '' } = req.body;\n \n const prompt = `请为以下文章提供SEO优化建议：\n\n标题：${title}\n内容预览：${content.substring(0, 500)}\n\n请提供以下建议：\n1. 优化后的标题（3个备选）\n2. 推荐的关键词（5-8个）\n3. Meta描述建议（150字以内）\n4. 内容结构优化建议\n5. 内链/外链建议`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n res.json({ success: true, data: { suggestions: response.content.trim() } });\n } catch (error) {\n res.status(500).json({ error: '分析失败', details: error.message });\n }\n});\n\n/**\n * 智能标签推荐\n * POST /api/ai/generate/tags\n */\nrouter.post('/generate/tags', aiLimiter, [\n body('content').trim().isLength({ min: 50 }),\n validateRequest\n], async (req, res) => {\n try {\n const { content, existingTags = [] } = req.body;\n \n const prompt = `请为以下内容推荐合适的标签：\n\n内容：${content.substring(0, 1500)}\n\n已有标签：${existingTags.join(', ')}\n\n要求：\n1. 推荐5-10个相关标签\n2. 包含热门标签和长尾标签\n3. 格式：#标签名\n4. 返回标签列表即可`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n const tags = response.content.match(/#[\\u4e00-\\u9fa5\\w]+/g) || [];\n \n res.json({ success: true, data: { \n tags: tags.map(t => t.replace('#', '')),\n categories: suggestCategories(content)\n }});\n } catch (error) {\n res.status(500).json({ error: '推荐失败', details: error.message });\n }\n});\n\n// ==================== 2.3 智能代码审查 ====================\n\n/**\n * 代码审查\n * POST /api/ai/code/review\n */\nrouter.post('/code/review', aiLimiter, [\n body('code').trim().isLength({ min: 10 }),\n body('language').optional().isString(),\n validateRequest\n], async (req, res) => {\n try {\n const { code, language = 'auto' } = req.body;\n \n const prompt = `请对以下代码进行专业审查：\n\n${language !== 'auto' ? `语言：${language}` : ''}\n\\`\\`\\`\n${code}\n\\`\\`\\`\n\n请从以下方面分析：\n1. 代码质量（可读性、可维护性）\n2. 潜在Bug和安全问题\n3. 性能优化建议\n4. 最佳实践建议\n5. 重构建议\n\n请以结构化格式返回：`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'system', content: '你是一位资深代码审查专家，擅长发现代码问题和提供改进建议。' },\n { role: 'user', content: prompt }\n ]);\n\n // 解析审查结果\n const review = parseCodeReview(response.content);\n\n res.json({ success: true, data: review });\n } catch (error) {\n res.status(500).json({ error: '审查失败', details: error.message });\n }\n});\n\n/**\n * 代码解释\n * POST /api/ai/code/explain\n */\nrouter.post('/code/explain', aiLimiter, [\n body('code').trim().isLength({ min: 1 }),\n validateRequest\n], async (req, res) => {\n try {\n const { code, detail = 'normal' } = req.body;\n \n const detailMap = {\n simple: '用简单语言解释这段代码的功能',\n normal: '详细解释代码逻辑和执行流程',\n deep: '深入分析代码原理，包括算法复杂度和设计模式'\n };\n\n const prompt = `${detailMap[detail]}：\n\n\\`\\`\\`\n${code}\n\\`\\`\\`\n\n要求：\n1. 逐行或分块解释\n2. 解释关键函数和变量\n3. 说明输入输出\n4. 添加注释示例`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n res.json({ success: true, data: { explanation: response.content.trim() } });\n } catch (error) {\n res.status(500).json({ error: '解释失败', details: error.message });\n }\n});\n\n/**\n * 代码转换\n * POST /api/ai/code/convert\n */\nrouter.post('/code/convert', aiLimiter, [\n body('code').trim().isLength({ min: 1 }),\n body('from').isString(),\n body('to').isString(),\n validateRequest\n], async (req, res) => {\n try {\n const { code, from, to } = req.body;\n \n const prompt = `请将以下${from}代码转换为${to}代码：\n\n${from}代码：\n\\`\\`\\`\n${code}\n\\`\\`\\`\n\n要求：\n1. 保持功能一致\n2. 使用目标语言的最佳实践\n3. 添加必要的注释\n4. 处理语言差异（如语法特性）\n\n转换后的${to}代码：`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n // 提取代码块\n const codeMatch = response.content.match(/```[\\w]*\\n?([\\s\\S]*?)```/);\n const convertedCode = codeMatch ? codeMatch[1].trim() : response.content.trim();\n\n res.json({ success: true, data: { \n convertedCode,\n from,\n to,\n notes: extractConversionNotes(response.content)\n }});\n } catch (error) {\n res.status(500).json({ error: '转换失败', details: error.message });\n }\n});\n\n/**\n * 代码优化\n * POST /api/ai/code/optimize\n */\nrouter.post('/code/optimize', aiLimiter, [\n body('code').trim().isLength({ min: 1 }),\n body('goal').optional().isIn(['performance', 'readability', 'memory', 'all']),\n validateRequest\n], async (req, res) => {\n try {\n const { code, goal = 'all' } = req.body;\n \n const goalMap = {\n performance: '优化执行性能',\n readability: '提高可读性',\n memory: '优化内存使用',\n all: '全面优化（性能、可读性、内存）'\n };\n\n const prompt = `请对以下代码进行${goalMap[goal]}：\n\n\\`\\`\\`\n${code}\n\\`\\`\\`\n\n要求：\n1. 提供优化后的完整代码\n2. 列出具体优化点\n3. 预估性能提升\n4. 说明适用场景`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n res.json({ success: true, data: { \n optimizedCode: extractCodeBlock(response.content),\n explanation: response.content\n }});\n } catch (error) {\n res.status(500).json({ error: '优化失败', details: error.message });\n }\n});\n\n// ==================== 2.4 多模态AI理解 ====================\n\n/**\n * 图像描述生成\n * POST /api/ai/vision/describe\n */\nrouter.post('/vision/describe', aiLimiter, [\n body('imageUrl').isURL(),\n validateRequest\n], async (req, res) => {\n try {\n const { imageUrl, detail = 'normal' } = req.body;\n \n // 这里集成多模态模型（如GPT-4V、Gemini Pro Vision）\n const response = await callMultimodalAI('vision', {\n image: imageUrl,\n prompt: detail === 'detailed' \n ? '详细描述这张图片的所有细节，包括主体、背景、色彩、氛围等'\n : '简要描述这张图片的内容'\n });\n\n res.json({ success: true, data: {\n description: response.description,\n tags: response.tags || [],\n colors: response.colors || [],\n objects: response.objects || []\n }});\n } catch (error) {\n res.status(500).json({ error: '图像分析失败', details: error.message });\n }\n});\n\n/**\n * OCR文字识别\n * POST /api/ai/vision/ocr\n */\nrouter.post('/vision/ocr', aiLimiter, [\n body('imageUrl').isURL(),\n validateRequest\n], async (req, res) => {\n try {\n const { imageUrl } = req.body;\n \n // 模拟OCR功能\n const response = await callMultimodalAI('ocr', { image: imageUrl });\n\n res.json({ success: true, data: {\n text: response.text,\n blocks: response.blocks || [], // 分块识别结果\n confidence: response.confidence || 0\n }});\n } catch (error) {\n res.status(500).json({ error: 'OCR识别失败', details: error.message });\n }\n});\n\n/**\n * 图像生成 (Text to Image)\n * POST /api/ai/image/generate\n */\nrouter.post('/image/generate', aiLimiter, [\n body('prompt').trim().isLength({ min: 1, max: 1000 }),\n validateRequest\n], async (req, res) => {\n try {\n const { prompt, size = '1024x1024', style = 'vivid' } = req.body;\n \n // 优化提示词\n const enhancedPrompt = await enhanceImagePrompt(prompt);\n \n // 调用图像生成API\n const imageUrl = await generateImage(enhancedPrompt, { size, style });\n\n res.json({ success: true, data: {\n imageUrl,\n prompt: enhancedPrompt,\n originalPrompt: prompt,\n size,\n style\n }});\n } catch (error) {\n res.status(500).json({ error: '图像生成失败', details: error.message });\n }\n});\n\n/**\n * 语音转文字\n * POST /api/ai/audio/transcribe\n */\nrouter.post('/audio/transcribe', aiLimiter, async (req, res) => {\n try {\n // 处理音频文件上传和转录\n const { audioUrl, language = 'zh' } = req.body;\n \n const transcript = await transcribeAudio(audioUrl, language);\n\n res.json({ success: true, data: {\n text: transcript.text,\n segments: transcript.segments || [],\n language: transcript.language\n }});\n } catch (error) {\n res.status(500).json({ error: '转录失败', details: error.message });\n }\n});\n\n/**\n * 文字转语音\n * POST /api/ai/audio/synthesize\n */\nrouter.post('/audio/synthesize', aiLimiter, [\n body('text').trim().isLength({ min: 1, max: 5000 }),\n validateRequest\n], async (req, res) => {\n try {\n const { text, voice = 'alloy', speed = 1.0 } = req.body;\n \n const audioUrl = await synthesizeSpeech(text, { voice, speed });\n\n res.json({ success: true, data: { audioUrl, duration: text.length * 0.3 } });\n } catch (error) {\n res.status(500).json({ error: '语音合成失败', details: error.message });\n }\n});\n\n// ==================== 辅助函数 ====================\n\n/**\n * 调用AI服务提供商\n */\nasync function callAIProvider(provider, messages, options = {}) {\n const config = AI_PROVIDERS[provider];\n if (!config) throw new Error(`Unknown provider: ${provider}`);\n\n const apiKey = process.env[`${provider.toUpperCase()}_API_KEY`];\n if (!apiKey) throw new Error(`API key not configured for ${provider}`);\n\n const model = options.model || config.models[0];\n \n // 构建请求体\n const requestBody = {\n model,\n messages,\n temperature: options.temperature ?? 0.7,\n max_tokens: options.max_tokens ?? 2000,\n stream: options.stream ?? false\n };\n\n // 发送请求\n const response = await fetch(`${config.baseUrl}/chat/completions`, {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n 'Authorization': `Bearer ${apiKey}`\n },\n body: JSON.stringify(requestBody)\n });\n\n if (!response.ok) {\n const error = await response.text();\n throw new Error(`AI API Error: ${error}`);\n }\n\n const data = await response.json();\n return {\n content: data.choices[0].message.content,\n usage: data.usage\n };\n}\n\n/**\n * 调用多模态AI\n */\nasync function callMultimodalAI(task, params) {\n // 这里集成实际的多模态API\n // 返回模拟数据\n const mockResponses = {\n vision: {\n description: '这是一张美丽的自然风景照片，展示了一片青山绿水...',\n tags: ['自然', '风景', '山水', '旅游'],\n colors: ['#2E7D32', '#1976D2', '#FFFFFF'],\n objects: ['mountain', 'water', 'sky']\n },\n ocr: {\n text: '识别的文字内容...',\n blocks: [],\n confidence: 0.95\n }\n };\n \n return mockResponses[task] || {};\n}\n\n/**\n * 生成图像\n */\nasync function generateImage(prompt, options) {\n // 集成DALL-E、Midjourney API或Stable Diffusion\n // 返回模拟URL\n return `https://picsum.photos/seed/${Date.now()}/${options.size.replace('x', '/')}`;\n}\n\n/**\n * 音频转录\n */\nasync function transcribeAudio(audioUrl, language) {\n // 集成Whisper API\n return { text: '转录的文本内容...', segments: [], language };\n}\n\n/**\n * 语音合成\n */\nasync function synthesizeSpeech(text, options) {\n // 集成TTS API\n return `https://example.com/audio/${Date.now()}.mp3`;\n}\n\n/**\n * 优化图像生成提示词\n */\nasync function enhanceImagePrompt(prompt) {\n const enhancePrompt = `优化以下图像生成提示词，使其更具体、更有画面感：\n\n原提示词：${prompt}\n\n优化要求：\n1. 添加风格描述（写实、动漫、油画等）\n2. 添加光影效果描述\n3. 添加质量修饰词（4K、 masterpiece等）\n4. 保持原意的同时丰富细节\n\n优化后的提示词：`;\n\n try {\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: enhancePrompt }\n ], { max_tokens: 500 });\n return response.content.trim();\n } catch {\n return prompt;\n }\n}\n\n/**\n * 生成智能建议\n */\nfunction generateSuggestions(userMessage, aiReply) {\n // 基于对话内容生成后续问题建议\n const commonSuggestions = [\n '能详细说明一下吗？',\n '还有其他相关功能吗？',\n '如何开始使用这个功能？'\n ];\n return commonSuggestions.slice(0, 3);\n}\n\n/**\n * 计算文本相似度\n */\nfunction similarity(s1, s2) {\n // 简单的Jaccard相似度\n const set1 = new Set(s1.split(''));\n const set2 = new Set(s2.split(''));\n const intersection = new Set([...set1].filter(x => set2.has(x)));\n const union = new Set([...set1, ...set2]);\n return intersection.size / union.size;\n}\n\n/**\n * 建议文章分类\n */\nfunction suggestCategories(content) {\n const categories = [];\n const keywords = {\n '技术': ['代码', '编程', '开发', '算法', '框架'],\n '生活': ['日常', '心情', '旅行', '美食'],\n '学习': ['教程', '笔记', '知识', '学习'],\n '创作': ['小说', '故事', '诗歌', '散文']\n };\n \n for (const [cat, words] of Object.entries(keywords)) {\n if (words.some(w => content.includes(w))) {\n categories.push(cat);\n }\n }\n \n return categories;\n}\n\n/**\n * 解析代码审查结果\n */\nfunction parseCodeReview(content) {\n return {\n overall: content,\n score: Math.floor(Math.random() * 30) + 70, // 模拟评分\n issues: [],\n suggestions: []\n };\n}\n\n/**\n * 提取代码块\n */\nfunction extractCodeBlock(content) {\n const match = content.match(/```[\\w]*\\n?([\\s\\S]*?)```/);\n return match ? match[1].trim() : content;\n}\n\n/**\n * 提取转换说明\n */\nfunction extractConversionNotes(content) {\n const notes = content.replace(/```[\\w]*\\n?[\\s\\S]*?```/g, '').trim();\n return notes;\n}\n\nmodule.exports = router;\n"}, "57718ba2ac81745e8379c25bfd0ca7f87d0e99e9": {"t": 1785758739.875812, "n": 21660, "h": "e86d21c0257b8fcf", "c": "/**\n * AI大模型深度集成路由\n * 第六轮创新性功能 - AI Large Model Integration\n * \n * 功能模块：\n * 2.1 智能客服机器人\n * 2.2 内容自动生成\n * 2.3 智能代码审查\n * 2.4 多模态AI理解\n */\n\nconst express = require('express');\nconst router = express.Router();\nconst { body, validationResult } = require('express-validator');\nconst rateLimit = require('express-rate-limit');\n\n// AI服务提供商配置\nconst AI_PROVIDERS = {\n openai: {\n baseUrl: 'https://api.openai.com/v1',\n models: ['gpt-4', 'gpt-4-turbo', 'gpt-3.5-turbo', 'dall-e-3', 'whisper-1']\n },\n anthropic: {\n baseUrl: 'https://api.anthropic.com/v1',\n models: ['claude-3-opus', 'claude-3-sonnet', 'claude-3-haiku']\n },\n gemini: {\n baseUrl: 'https://generativelanguage.googleapis.com/v1',\n models: ['gemini-pro', 'gemini-pro-vision', 'gemini-ultra']\n },\n deepseek: {\n baseUrl: 'https://api.deepseek.com/v1',\n models: ['deepseek-chat', 'deepseek-coder']\n },\n siliconflow: {\n baseUrl: 'https://api.siliconflow.cn/v1',\n models: ['Qwen/Qwen2.5-72B-Instruct', 'deepseek-ai/DeepSeek-R1', 'Pro/deepseek-ai/DeepSeek-R1']\n }\n};\n\n// AI请求限流\nconst aiLimiter = rateLimit({\n windowMs: 1 * 60 * 1000, // 1分钟\n max: 20, // 每用户最多20次请求\n message: { error: 'AI服务调用过于频繁，请稍后再试' }\n});\n\n// 中间件：验证请求\nconst validateRequest = (req, res, next) => {\n const errors = validationResult(req);\n if (!errors.isEmpty()) {\n return res.status(400).json({ errors: errors.array() });\n }\n next();\n};\n\n// ==================== 2.1 智能客服机器人 ====================\n\n/**\n * 智能客服对话\n * POST /api/ai/chat\n */\nrouter.post('/chat', aiLimiter, [\n body('message').trim().isLength({ min: 1, max: 2000 }).withMessage('消息长度1-2000字符'),\n body('sessionId').optional().isString(),\n body('context').optional().isArray(),\n validateRequest\n], async (req, res) => {\n try {\n const { message, sessionId = `session_${Date.now()}`, context = [], provider = 'siliconflow' } = req.body;\n \n // 构建系统提示词\n const systemPrompt = `你是 \"Hakimi 的猫爬架\" 博客平台的AI助手，一个友好、专业的智能客服。\n\n平台功能：\n- 博客文章发布、阅读、评论\n- 用户等级系统和积分奖励\n- NFT铸造和代币经济\n- 实时协作编辑\n- 游戏化社交功能\n\n回复原则：\n1. 使用中文回复，语气友好亲切\n2. 回答要简洁明了，避免冗长\n3. 遇到技术问题提供具体解决步骤\n4. 不清楚的问题诚实告知，不要编造\n5. 适当使用emoji增加亲和力\n\n当前时间：${new Date().toLocaleString('zh-CN')}`;\n\n // 构建消息历史\n const messages = [\n { role: 'system', content: systemPrompt },\n ...context.slice(-10), // 保留最近10条上下文\n { role: 'user', content: message }\n ];\n\n // 调用AI模型\n const response = await callAIProvider(provider, messages, {\n temperature: 0.7,\n max_tokens: 2000\n });\n\n res.json({\n success: true,\n data: {\n reply: response.content,\n sessionId,\n suggestions: generateSuggestions(message, response.content),\n usedTokens: response.usage?.total_tokens || 0\n }\n });\n } catch (error) {\n console.error('AI Chat Error:', error);\n res.status(500).json({ error: 'AI服务暂时不可用', details: error.message });\n }\n});\n\n/**\n * 流式对话 (SSE)\n * GET /api/ai/chat/stream\n */\nrouter.get('/chat/stream', async (req, res) => {\n const { message, sessionId, provider = 'siliconflow' } = req.query;\n \n res.setHeader('Content-Type', 'text/event-stream');\n res.setHeader('Cache-Control', 'no-cache');\n res.setHeader('Connection', 'keep-alive');\n\n try {\n const systemPrompt = `你是博客平台的AI助手，请简洁友好地回答用户问题。`;\n const messages = [\n { role: 'system', content: systemPrompt },\n { role: 'user', content: message }\n ];\n\n // 模拟流式响应\n const response = await callAIProvider(provider, messages, { stream: true });\n \n // 分批发送\n const chunks = response.content.split('');\n for (const chunk of chunks) {\n res.write(`data: ${JSON.stringify({ chunk, done: false })}\\n\\n`);\n await new Promise(r => setTimeout(r, 20));\n }\n \n res.write(`data: ${JSON.stringify({ done: true, sessionId })}\\n\\n`);\n res.end();\n } catch (error) {\n res.write(`data: ${JSON.stringify({ error: error.message })}\\n\\n`);\n res.end();\n }\n});\n\n/**\n * 常见问题智能回复\n * POST /api/ai/faq\n */\nrouter.post('/faq', async (req, res) => {\n const { question } = req.body;\n \n // 预设FAQ知识库\n const faqDatabase = {\n '如何发布文章': {\n answer: '点击顶部导航栏的\"写文章\"按钮，进入编辑器即可创作。支持Markdown格式和富文本编辑。',\n link: '/editor.html'\n },\n '如何获得积分': {\n answer: '每日签到、发布文章、获得点赞评论都可以赚取积分。连续签到还有额外奖励哦！',\n link: '/coins.html'\n },\n 'NFT是什么': {\n answer: 'NFT（非同质化代币）是区块链上的独特数字资产。您可以将文章铸造为NFT，获得永久数字所有权证明。',\n link: '/nft-guide.html'\n },\n '如何连接钱包': {\n answer: '在个人设置页面点击\"连接钱包\"，支持MetaMask等主流钱包。连接后可进行NFT铸造和代币交易。',\n link: '/profile.html'\n }\n };\n\n // 语义匹配\n const matched = Object.entries(faqDatabase).find(([q]) => \n question.includes(q) || similarity(question, q) > 0.6\n );\n\n if (matched) {\n res.json({ success: true, data: matched[1], matched: true });\n } else {\n // 未匹配到，走AI生成\n const aiResponse = await callAIProvider('siliconflow', [\n { role: 'system', content: '回答用户关于博客平台的问题' },\n { role: 'user', content: question }\n ]);\n res.json({ success: true, data: { answer: aiResponse.content }, matched: false });\n }\n});\n\n// ==================== 2.2 内容自动生成 ====================\n\n/**\n * 文章标题生成\n * POST /api/ai/generate/title\n */\nrouter.post('/generate/title', aiLimiter, [\n body('content').trim().isLength({ min: 10 }).withMessage('内容至少需要10个字符'),\n validateRequest\n], async (req, res) => {\n try {\n const { content, count = 5 } = req.body;\n \n const prompt = `根据以下内容生成${count}个吸引人的文章标题：\n\n内容摘要：${content.substring(0, 1000)}\n\n要求：\n1. 标题要简洁有力，不超过20字\n2. 要有吸引力，能引起读者兴趣\n3. 符合中文阅读习惯\n4. 提供多种风格：专业型、趣味型、悬念型\n\n请直接返回标题列表，每行一个：`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ], { temperature: 0.8 });\n\n const titles = response.content.split('\\n')\n .map(t => t.replace(/^\\d+\\.\\s*/, '').trim())\n .filter(t => t.length > 0);\n\n res.json({ success: true, data: { titles: titles.slice(0, count) } });\n } catch (error) {\n res.status(500).json({ error: '生成失败', details: error.message });\n }\n});\n\n/**\n * 文章摘要生成\n * POST /api/ai/generate/summary\n */\nrouter.post('/generate/summary', aiLimiter, [\n body('content').trim().isLength({ min: 100 }).withMessage('内容至少需要100个字符'),\n validateRequest\n], async (req, res) => {\n try {\n const { content, maxLength = 200 } = req.body;\n \n const prompt = `请为以下文章生成摘要，限制在${maxLength}字以内：\n\n${content.substring(0, 3000)}\n\n要求：\n1. 突出核心观点和关键信息\n2. 语言流畅，逻辑清晰\n3. 不包含\"本文\"、\"作者\"等词，直接陈述要点`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ], { max_tokens: 500 });\n\n res.json({ success: true, data: { summary: response.content.trim() } });\n } catch (error) {\n res.status(500).json({ error: '生成失败', details: error.message });\n }\n});\n\n/**\n * 文章内容续写\n * POST /api/ai/generate/continue\n */\nrouter.post('/generate/continue', aiLimiter, [\n body('content').trim().isLength({ min: 50 }).withMessage('内容至少需要50个字符'),\n body('tone').optional().isIn(['professional', 'casual', 'humorous', 'academic']),\n validateRequest\n], async (req, res) => {\n try {\n const { content, tone = 'professional', wordCount = 300 } = req.body;\n \n const toneMap = {\n professional: '专业严谨',\n casual: '轻松随意',\n humorous: '幽默风趣',\n academic: '学术规范'\n };\n\n const prompt = `请根据以下内容续写文章，续写约${wordCount}字：\n\n已写内容：\n${content.substring(-500)}\n\n要求：\n1. 语气风格：${toneMap[tone]}\n2. 保持与上文的一致性\n3. 自然过渡，不生硬\n4. 丰富内容，添加具体细节或例子\n\n续写内容：`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ], { temperature: 0.7, max_tokens: 2000 });\n\n res.json({ success: true, data: { continuation: response.content.trim() } });\n } catch (error) {\n res.status(500).json({ error: '续写失败', details: error.message });\n }\n});\n\n/**\n * SEO优化建议\n * POST /api/ai/generate/seo\n */\nrouter.post('/generate/seo', aiLimiter, [\n body('title').trim().isLength({ min: 1 }),\n body('content').optional().isString(),\n validateRequest\n], async (req, res) => {\n try {\n const { title, content = '' } = req.body;\n \n const prompt = `请为以下文章提供SEO优化建议：\n\n标题：${title}\n内容预览：${content.substring(0, 500)}\n\n请提供以下建议：\n1. 优化后的标题（3个备选）\n2. 推荐的关键词（5-8个）\n3. Meta描述建议（150字以内）\n4. 内容结构优化建议\n5. 内链/外链建议`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n res.json({ success: true, data: { suggestions: response.content.trim() } });\n } catch (error) {\n res.status(500).json({ error: '分析失败', details: error.message });\n }\n});\n\n/**\n * 智能标签推荐\n * POST /api/ai/generate/tags\n */\nrouter.post('/generate/tags', aiLimiter, [\n body('content').trim().isLength({ min: 50 }),\n validateRequest\n], async (req, res) => {\n try {\n const { content, existingTags = [] } = req.body;\n \n const prompt = `请为以下内容推荐合适的标签：\n\n内容：${content.substring(0, 1500)}\n\n已有标签：${existingTags.join(', ')}\n\n要求：\n1. 推荐5-10个相关标签\n2. 包含热门标签和长尾标签\n3. 格式：#标签名\n4. 返回标签列表即可`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n const tags = response.content.match(/#[\\u4e00-\\u9fa5\\w]+/g) || [];\n \n res.json({ success: true, data: { \n tags: tags.map(t => t.replace('#', '')),\n categories: suggestCategories(content)\n }});\n } catch (error) {\n res.status(500).json({ error: '推荐失败', details: error.message });\n }\n});\n\n// ==================== 2.3 智能代码审查 ====================\n\n/**\n * 代码审查\n * POST /api/ai/code/review\n */\nrouter.post('/code/review', aiLimiter, [\n body('code').trim().isLength({ min: 10 }),\n body('language').optional().isString(),\n validateRequest\n], async (req, res) => {\n try {\n const { code, language = 'auto' } = req.body;\n \n const prompt = `请对以下代码进行专业审查：\n\n${language !== 'auto' ? `语言：${language}` : ''}\n\\`\\`\\`\n${code}\n\\`\\`\\`\n\n请从以下方面分析：\n1. 代码质量（可读性、可维护性）\n2. 潜在Bug和安全问题\n3. 性能优化建议\n4. 最佳实践建议\n5. 重构建议\n\n请以结构化格式返回：`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'system', content: '你是一位资深代码审查专家，擅长发现代码问题和提供改进建议。' },\n { role: 'user', content: prompt }\n ]);\n\n // 解析审查结果\n const review = parseCodeReview(response.content);\n\n res.json({ success: true, data: review });\n } catch (error) {\n res.status(500).json({ error: '审查失败', details: error.message });\n }\n});\n\n/**\n * 代码解释\n * POST /api/ai/code/explain\n */\nrouter.post('/code/explain', aiLimiter, [\n body('code').trim().isLength({ min: 1 }),\n validateRequest\n], async (req, res) => {\n try {\n const { code, detail = 'normal' } = req.body;\n \n const detailMap = {\n simple: '用简单语言解释这段代码的功能',\n normal: '详细解释代码逻辑和执行流程',\n deep: '深入分析代码原理，包括算法复杂度和设计模式'\n };\n\n const prompt = `${detailMap[detail]}：\n\n\\`\\`\\`\n${code}\n\\`\\`\\`\n\n要求：\n1. 逐行或分块解释\n2. 解释关键函数和变量\n3. 说明输入输出\n4. 添加注释示例`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n res.json({ success: true, data: { explanation: response.content.trim() } });\n } catch (error) {\n res.status(500).json({ error: '解释失败', details: error.message });\n }\n});\n\n/**\n * 代码转换\n * POST /api/ai/code/convert\n */\nrouter.post('/code/convert', aiLimiter, [\n body('code').trim().isLength({ min: 1 }),\n body('from').isString(),\n body('to').isString(),\n validateRequest\n], async (req, res) => {\n try {\n const { code, from, to } = req.body;\n \n const prompt = `请将以下${from}代码转换为${to}代码：\n\n${from}代码：\n\\`\\`\\`\n${code}\n\\`\\`\\`\n\n要求：\n1. 保持功能一致\n2. 使用目标语言的最佳实践\n3. 添加必要的注释\n4. 处理语言差异（如语法特性）\n\n转换后的${to}代码：`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n // 提取代码块\n const codeMatch = response.content.match(/```[\\w]*\\n?([\\s\\S]*?)```/);\n const convertedCode = codeMatch ? codeMatch[1].trim() : response.content.trim();\n\n res.json({ success: true, data: { \n convertedCode,\n from,\n to,\n notes: extractConversionNotes(response.content)\n }});\n } catch (error) {\n res.status(500).json({ error: '转换失败', details: error.message });\n }\n});\n\n/**\n * 代码优化\n * POST /api/ai/code/optimize\n */\nrouter.post('/code/optimize', aiLimiter, [\n body('code').trim().isLength({ min: 1 }),\n body('goal').optional().isIn(['performance', 'readability', 'memory', 'all']),\n validateRequest\n], async (req, res) => {\n try {\n const { code, goal = 'all' } = req.body;\n \n const goalMap = {\n performance: '优化执行性能',\n readability: '提高可读性',\n memory: '优化内存使用',\n all: '全面优化（性能、可读性、内存）'\n };\n\n const prompt = `请对以下代码进行${goalMap[goal]}：\n\n\\`\\`\\`\n${code}\n\\`\\`\\`\n\n要求：\n1. 提供优化后的完整代码\n2. 列出具体优化点\n3. 预估性能提升\n4. 说明适用场景`;\n\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: prompt }\n ]);\n\n res.json({ success: true, data: { \n optimizedCode: extractCodeBlock(response.content),\n explanation: response.content\n }});\n } catch (error) {\n res.status(500).json({ error: '优化失败', details: error.message });\n }\n});\n\n// ==================== 2.4 多模态AI理解 ====================\n\n/**\n * 图像描述生成\n * POST /api/ai/vision/describe\n */\nrouter.post('/vision/describe', aiLimiter, [\n body('imageUrl').isURL(),\n validateRequest\n], async (req, res) => {\n try {\n const { imageUrl, detail = 'normal' } = req.body;\n \n // 这里集成多模态模型（如GPT-4V、Gemini Pro Vision）\n const response = await callMultimodalAI('vision', {\n image: imageUrl,\n prompt: detail === 'detailed' \n ? '详细描述这张图片的所有细节，包括主体、背景、色彩、氛围等'\n : '简要描述这张图片的内容'\n });\n\n res.json({ success: true, data: {\n description: response.description,\n tags: response.tags || [],\n colors: response.colors || [],\n objects: response.objects || []\n }});\n } catch (error) {\n res.status(500).json({ error: '图像分析失败', details: error.message });\n }\n});\n\n/**\n * OCR文字识别\n * POST /api/ai/vision/ocr\n */\nrouter.post('/vision/ocr', aiLimiter, [\n body('imageUrl').isURL(),\n validateRequest\n], async (req, res) => {\n try {\n const { imageUrl } = req.body;\n \n // 模拟OCR功能\n const response = await callMultimodalAI('ocr', { image: imageUrl });\n\n res.json({ success: true, data: {\n text: response.text,\n blocks: response.blocks || [], // 分块识别结果\n confidence: response.confidence || 0\n }});\n } catch (error) {\n res.status(500).json({ error: 'OCR识别失败', details: error.message });\n }\n});\n\n/**\n * 图像生成 (Text to Image)\n * POST /api/ai/image/generate\n */\nrouter.post('/image/generate', aiLimiter, [\n body('prompt').trim().isLength({ min: 1, max: 1000 }),\n validateRequest\n], async (req, res) => {\n try {\n const { prompt, size = '1024x1024', style = 'vivid' } = req.body;\n \n // 优化提示词\n const enhancedPrompt = await enhanceImagePrompt(prompt);\n \n // 调用图像生成API\n const imageUrl = await generateImage(enhancedPrompt, { size, style });\n\n res.json({ success: true, data: {\n imageUrl,\n prompt: enhancedPrompt,\n originalPrompt: prompt,\n size,\n style\n }});\n } catch (error) {\n res.status(500).json({ error: '图像生成失败', details: error.message });\n }\n});\n\n/**\n * 语音转文字\n * POST /api/ai/audio/transcribe\n */\nrouter.post('/audio/transcribe', aiLimiter, async (req, res) => {\n try {\n // 处理音频文件上传和转录\n const { audioUrl, language = 'zh' } = req.body;\n \n const transcript = await transcribeAudio(audioUrl, language);\n\n res.json({ success: true, data: {\n text: transcript.text,\n segments: transcript.segments || [],\n language: transcript.language\n }});\n } catch (error) {\n res.status(500).json({ error: '转录失败', details: error.message });\n }\n});\n\n/**\n * 文字转语音\n * POST /api/ai/audio/synthesize\n */\nrouter.post('/audio/synthesize', aiLimiter, [\n body('text').trim().isLength({ min: 1, max: 5000 }),\n validateRequest\n], async (req, res) => {\n try {\n const { text, voice = 'alloy', speed = 1.0 } = req.body;\n \n const audioUrl = await synthesizeSpeech(text, { voice, speed });\n\n res.json({ success: true, data: { audioUrl, duration: text.length * 0.3 } });\n } catch (error) {\n res.status(500).json({ error: '语音合成失败', details: error.message });\n }\n});\n\n// ==================== 辅助函数 ====================\n\n/**\n * 调用AI服务提供商\n */\nasync function callAIProvider(provider, messages, options = {}) {\n const config = AI_PROVIDERS[provider];\n if (!config) throw new Error(`Unknown provider: ${provider}`);\n\n const apiKey = process.env[`${provider.toUpperCase()}_API_KEY`];\n if (!apiKey) throw new Error(`API key not configured for ${provider}`);\n\n const model = options.model || config.models[0];\n \n // 构建请求体\n const requestBody = {\n model,\n messages,\n temperature: options.temperature ?? 0.7,\n max_tokens: options.max_tokens ?? 2000,\n stream: options.stream ?? false\n };\n\n // 发送请求\n const response = await fetch(`${config.baseUrl}/chat/completions`, {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n 'Authorization': `Bearer ${apiKey}`\n },\n body: JSON.stringify(requestBody)\n });\n\n if (!response.ok) {\n const error = await response.text();\n throw new Error(`AI API Error: ${error}`);\n }\n\n const data = await response.json();\n return {\n content: data.choices[0].message.content,\n usage: data.usage\n };\n}\n\n/**\n * 调用多模态AI\n */\nasync function callMultimodalAI(task, params) {\n // 这里集成实际的多模态API\n // 返回模拟数据\n const mockResponses = {\n vision: {\n description: '这是一张美丽的自然风景照片，展示了一片青山绿水...',\n tags: ['自然', '风景', '山水', '旅游'],\n colors: ['#2E7D32', '#1976D2', '#FFFFFF'],\n objects: ['mountain', 'water', 'sky']\n },\n ocr: {\n text: '识别的文字内容...',\n blocks: [],\n confidence: 0.95\n }\n };\n \n return mockResponses[task] || {};\n}\n\n/**\n * 生成图像\n */\nasync function generateImage(prompt, options) {\n // 集成DALL-E、Midjourney API或Stable Diffusion\n // 返回模拟URL\n return `https://picsum.photos/seed/${Date.now()}/${options.size.replace('x', '/')}`;\n}\n\n/**\n * 音频转录\n */\nasync function transcribeAudio(audioUrl, language) {\n // 集成Whisper API\n return { text: '转录的文本内容...', segments: [], language };\n}\n\n/**\n * 语音合成\n */\nasync function synthesizeSpeech(text, options) {\n // 集成TTS API\n return `https://example.com/audio/${Date.now()}.mp3`;\n}\n\n/**\n * 优化图像生成提示词\n */\nasync function enhanceImagePrompt(prompt) {\n const enhancePrompt = `优化以下图像生成提示词，使其更具体、更有画面感：\n\n原提示词：${prompt}\n\n优化要求：\n1. 添加风格描述（写实、动漫、油画等）\n2. 添加光影效果描述\n3. 添加质量修饰词（4K、 masterpiece等）\n4. 保持原意的同时丰富细节\n\n优化后的提示词：`;\n\n try {\n const response = await callAIProvider('siliconflow', [\n { role: 'user', content: enhancePrompt }\n ], { max_tokens: 500 });\n return response.content.trim();\n } catch {\n return prompt;\n }\n}\n\n/**\n * 生成智能建议\n */\nfunction generateSuggestions(userMessage, aiReply) {\n // 基于对话内容生成后续问题建议\n const commonSuggestions = [\n '能详细说明一下吗？',\n '还有其他相关功能吗？',\n '如何开始使用这个功能？'\n ];\n return commonSuggestions.slice(0, 3);\n}\n\n/**\n * 计算文本相似度\n */\nfunction similarity(s1, s2) {\n // 简单的Jaccard相似度\n const set1 = new Set(s1.split(''));\n const set2 = new Set(s2.split(''));\n const intersection = new Set([...set1].filter(x => set2.has(x)));\n const union = new Set([...set1, ...set2]);\n return intersection.size / union.size;\n}\n\n/**\n * 建议文章分类\n */\nfunction suggestCategories(content) {\n const categories = [];\n const keywords = {\n '技术': ['代码', '编程', '开发', '算法', '框架'],\n '生活': ['日常', '心情', '旅行', '美食'],\n '学习': ['教程', '笔记', '知识', '学习'],\n '创作': ['小说', '故事', '诗歌', '散文']\n };\n \n for (const [cat, words] of Object.entries(keywords)) {\n if (words.some(w => content.includes(w))) {\n categories.push(cat);\n }\n }\n \n return categories;\n}\n\n/**\n * 解析代码审查结果\n */\nfunction parseCodeReview(content) {\n return {\n overall: content,\n score: Math.floor(Math.random() * 30) + 70, // 模拟评分\n issues: [],\n suggestions: []\n };\n}\n\n/**\n * 提取代码块\n */\nfunction extractCodeBlock(content) {\n const match = content.match(/```[\\w]*\\n?([\\s\\S]*?)```/);\n return match ? match[1].trim() : content;\n}\n\n/**\n * 提取转换说明\n */\nfunction extractConversionNotes(content) {\n const notes = content.replace(/```[\\w]*\\n?[\\s\\S]*?```/g, '').trim();\n return notes;\n}\n\nmodule.exports = router;\n"}}}} |