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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 | /** * Pipeline Recommender Service * * Analyzes user messages to recommend relevant Pipelines. * Used by Agent conversation flow to proactively suggest workflows. */ import { PipelineInfo, PipelineClient } from './pipeline-client'; // === Types === export interface PipelineRecommendation { pipeline: PipelineInfo; confidence: number; // 0-1 matchedKeywords: string[]; suggestedInputs: Record<string, unknown>; reason: string; } export interface IntentPattern { keywords: RegExp[]; category?: string; pipelineId?: string; minConfidence: number; inputSuggestions?: (message: string) => Record<string, unknown>; } // === Intent Patterns === const INTENT_PATTERNS: IntentPattern[] = [ // Education - Classroom { keywords: [ /课件|教案|备课|课堂|教学|ppt|幻灯片/i, /上课|讲课|教材/i, /生成.*课件|制作.*课件|创建.*课件/i, ], category: 'education', pipelineId: 'classroom-generator', minConfidence: 0.75, }, // Marketing - Campaign { keywords: [ /营销|推广|宣传|市场.*方案|营销.*策略/i, /产品.*推广|品牌.*宣传/i, /广告.*方案|营销.*计划/i, /生成.*营销|制作.*营销/i, ], category: 'marketing', pipelineId: 'marketing-campaign', minConfidence: 0.72, }, // Legal - Contract Review { keywords: [ /合同.*审查|合同.*风险|合同.*检查/i, /审查.*合同|检查.*合同|分析.*合同/i, /法律.*审查|合规.*检查/i, /合同.*条款|条款.*风险/i, ], category: 'legal', pipelineId: 'contract-review', minConfidence: 0.78, }, // Research - Literature Review { keywords: [ /文献.*综述|文献.*分析|文献.*检索/i, /研究.*综述|学术.*综述/i, /论文.*综述|论文.*调研/i, /文献.*搜索|文献.*查找/i, ], category: 'research', pipelineId: 'literature-review', minConfidence: 0.73, }, // Productivity - Meeting Summary { keywords: [ /会议.*纪要|会议.*总结|会议.*记录/i, /整理.*会议|总结.*会议/i, /会议.*整理|纪要.*生成/i, /待办.*事项|行动.*项/i, ], category: 'productivity', pipelineId: 'meeting-summary', minConfidence: 0.70, }, // Generic patterns for each category { keywords: [/帮我.*生成|帮我.*制作|帮我.*创建|自动.*生成/i], minConfidence: 0.5, }, ]; // === Pipeline Recommender Class === export class PipelineRecommender { private pipelines: PipelineInfo[] = []; private initialized = false; /** * Initialize the recommender by loading pipelines */ async initialize(): Promise<void> { if (this.initialized) return; try { this.pipelines = await PipelineClient.listPipelines(); this.initialized = true; } catch (error) { console.error('[PipelineRecommender] Failed to load pipelines:', error); } } /** * Refresh pipeline list */ async refresh(): Promise<void> { try { this.pipelines = await PipelineClient.refresh(); } catch (error) { console.error('[PipelineRecommender] Failed to refresh pipelines:', error); } } /** * Analyze a user message and return pipeline recommendations */ async recommend(message: string): Promise<PipelineRecommendation[]> { if (!this.initialized) { await this.initialize(); } const recommendations: PipelineRecommendation[] = []; for (const pattern of INTENT_PATTERNS) { const matches = pattern.keywords .map(regex => regex.test(message)) .filter(Boolean); if (matches.length === 0) continue; const confidence = Math.min( pattern.minConfidence + (matches.length - 1) * 0.05, 0.95 ); // Find matching pipeline let matchingPipelines: PipelineInfo[] = []; if (pattern.pipelineId) { matchingPipelines = this.pipelines.filter(p => p.id === pattern.pipelineId); } else if (pattern.category) { matchingPipelines = this.pipelines.filter(p => p.category === pattern.category); } // If no specific pipeline found, recommend based on category or all if (matchingPipelines.length === 0 && !pattern.pipelineId && !pattern.category) { // Generic match - recommend top pipelines matchingPipelines = this.pipelines.slice(0, 3); } for (const pipeline of matchingPipelines) { const matchedKeywords = pattern.keywords .filter(regex => regex.test(message)) .map(regex => regex.source); const suggestion: PipelineRecommendation = { pipeline, confidence, matchedKeywords, suggestedInputs: pattern.inputSuggestions?.(message) ?? {}, reason: this.generateReason(pipeline, matchedKeywords, confidence), }; // Avoid duplicates if (!recommendations.find(r => r.pipeline.id === pipeline.id)) { recommendations.push(suggestion); } } } // Sort by confidence and return top recommendations return recommendations .sort((a, b) => b.confidence - a.confidence) .slice(0, 3); } /** * Generate a human-readable reason for the recommendation */ private generateReason( pipeline: PipelineInfo, matchedKeywords: string[], confidence: number ): string { const confidenceText = confidence >= 0.8 ? '非常适合' : confidence >= 0.7 ? '适合' : confidence >= 0.6 ? '可能适合' : '或许可以尝试'; if (matchedKeywords.length > 0) { return `您的需求与【${pipeline.displayName}】${confidenceText}。这个 Pipeline 可以帮助您自动化完成相关任务。`; } return `【${pipeline.displayName}】可能对您有帮助。需要我为您启动吗？`; } /** * Format recommendation for Agent message */ formatRecommendationForAgent(rec: PipelineRecommendation): string { const pipeline = rec.pipeline; let message = `我可以使用【${pipeline.displayName}】为你自动完成这个任务。\n\n`; message += `**功能说明**: ${pipeline.description}\n\n`; if (Object.keys(rec.suggestedInputs).length > 0) { message += `**我已识别到以下信息**:\n`; for (const [key, value] of Object.entries(rec.suggestedInputs)) { message += `- ${key}: ${value}\n`; } message += '\n'; } message += `需要开始吗？`; return message; } /** * Check if a message might benefit from a pipeline */ mightNeedPipeline(message: string): boolean { const pipelineKeywords = [ '生成', '创建', '制作', '分析', '审查', '整理', '总结', '归纳', '提取', '转换', '自动化', '帮我', '请帮我', '能不能', '可以', ]; return pipelineKeywords.some(kw => message.includes(kw)); } } // === Singleton Instance === export const pipelineRecommender = new PipelineRecommender(); // === React Hook === import { useState, useEffect, useCallback } from 'react'; export interface UsePipelineRecommendationOptions { autoInit?: boolean; minConfidence?: number; } export function usePipelineRecommendation(options: UsePipelineRecommendationOptions = {}) { const [recommender] = useState(() => new PipelineRecommender()); const [initialized, setInitialized] = useState(false); const [loading, setLoading] = useState(false); useEffect(() => { if (options.autoInit !== false) { recommender.initialize().then(() => setInitialized(true)); } }, [recommender, options.autoInit]); const recommend = useCallback(async (message: string) => { setLoading(true); try { const results = await recommender.recommend(message); const minConf = options.minConfidence ?? 0.6; return results.filter(r => r.confidence >= minConf); } finally { setLoading(false); } }, [recommender, options.minConfidence]); return { recommend, initialized, loading, refresh: recommender.refresh.bind(recommender), mightNeedPipeline: recommender.mightNeedPipeline, formatRecommendationForAgent: recommender.formatRecommendationForAgent.bind(recommender), }; } export default pipelineRecommender; |