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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 | /** * 深度规划节点（deepPlanBookNode） * * 用 LLM 替代简单正则做深度需求分析和书籍规划。 * 输出 goldenThread、narrativeArc、crossReferences、toneProfile、audienceCalibration， * 同时兼容原 planBookNode 的 genLevel、writingStyle 等字段。 * * 解决 issue #3（需求分析用正则不是AI） */ import { GraphState } from '../graph'; import { bookStore } from '../book-generator.store'; import { callLLMWithMessages, ChatMessage } from '../../../services/llm'; import { DEEP_PLAN_SYSTEM_PROMPT } from '../prompts/templates'; import { getScaleConfig } from '../book-type-config'; import { PROGRESS } from '../utils'; /** * 深度规划输出接口（扩展原 BookPlan） */ export interface DeepBookPlan { genLevel: number; bookType: string; bookTypeAnalysis: string; writingStyle: string; structureLogic: string; contentDepth: string; targetAudienceAnalysis: string; reasoning: string; goldenThread: string; narrativeArc: Record<string, { theme: string; chapters: number[]; goal: string }>; crossReferences: Record<string, { dependsOn: string[]; usedBy: string[] }>; toneProfile: { base: string; examples: string; codeSnippets?: string; avoidPatterns: string[]; }; audienceCalibration: { assumedKnowledge: string[]; painPoints: string[]; desiredOutcome: string; }; } /** * 从描述中提取明确的字数要求 * 如 "生成200字文本" → 200 */ function extractWordCountFromDescription(description: string): number | null { const text = description.toLowerCase(); const match = text.match(/(\d+)\s*字/i); if (match) { const n = parseInt(match[1]); return isNaN(n) ? null : n; } return null; } /** * 构建深度规划提示词消息 */ function buildDeepPlanMessages( title: string, description: string, bookScale: string, userFeedback?: string, ): ChatMessage[] { const config = getScaleConfig(bookScale); const chapters = config?.chapters || 17; // 如果 description 里有明确字数要求，优先用它 const descWordCount = extractWordCountFromDescription(description); const totalWords = descWordCount !== null ? descWordCount : (config?.totalWords || 130000); let userPrompt = `## 书籍信息 - 书名：${title} - 字数规模：约${totalWords}字，约${chapters}章 - 描述：${description} 请对本书做全面的策划分析。`; if (userFeedback) { userPrompt += `\n\n## 用户反馈（请据此调整规划）\n${userFeedback}`; } return [ { role: 'system', content: DEEP_PLAN_SYSTEM_PROMPT }, { role: 'user', content: userPrompt }, ]; } /** * 解析 AI 返回的深度规划 JSON */ function parseDeepPlanResponse(response: string): DeepBookPlan | null { try { let cleaned = response.trim(); // 移除 think 标签 const thinkEnd = cleaned.indexOf('</think>'); if (thinkEnd !== -1) { cleaned = cleaned.substring(thinkEnd + 8).trim(); } // 提取 JSON const match = cleaned.match(/\{[\s\S]*\}/); if (!match) { console.error('[DeepPlanNode] 未找到 JSON'); return null; } const data = JSON.parse(match[0]); // 验证必要字段 if (typeof data.genLevel !== 'number' || ![1, 2, 3].includes(data.genLevel)) { console.warn('[DeepPlanNode] genLevel 无效，使用默认值 2'); data.genLevel = 2; } return { genLevel: data.genLevel || 2, bookType: data.bookType || '', bookTypeAnalysis: data.bookTypeAnalysis || data.reasoning || '', writingStyle: data.writingStyle || '', structureLogic: data.structureLogic || '', contentDepth: data.contentDepth || '', targetAudienceAnalysis: data.targetAudienceAnalysis || '', reasoning: data.reasoning || '', goldenThread: data.goldenThread || '', narrativeArc: data.narrativeArc || {}, crossReferences: data.crossReferences || {}, toneProfile: { base: data.toneProfile?.base || '', examples: data.toneProfile?.examples || '', codeSnippets: data.toneProfile?.codeSnippets, avoidPatterns: data.toneProfile?.avoidPatterns || [], }, audienceCalibration: { assumedKnowledge: data.audienceCalibration?.assumedKnowledge || [], painPoints: data.audienceCalibration?.painPoints || [], desiredOutcome: data.audienceCalibration?.desiredOutcome || '', }, }; } catch (err) { console.error('[DeepPlanNode] 解析失败:', err); return null; } } /** * 深度规划节点 * 作为新策略的第一个节点运行 */ export async function deepPlanBookNode(state: typeof GraphState.State): Promise<Partial<typeof GraphState.State>> { console.log('[DeepPlanNode] 开始深度规划, bookId:', state.bookId); try { const book = await bookStore.getById(state.bookId); const title = book?.title || state.topic; const description = book?.description || state.description || ''; const messages = buildDeepPlanMessages(title, description, state.bookScale, (state as any).userFeedback || ''); const response = await callLLMWithMessages(messages); const plan = parseDeepPlanResponse(response); if (!plan) { console.warn('[DeepPlanNode] AI 规划解析失败，使用默认值'); return { progress: PROGRESS.OUTLINE_DONE }; } // 用户明确选了层级 → 保留用户选择，AI 不能覆盖 const userDefinedLevel = state.userSpecifiedGenLevel !== undefined; const finalGenLevel = userDefinedLevel ? (state.userSpecifiedGenLevel ?? state.genLevel) : plan.genLevel; if (userDefinedLevel && finalGenLevel !== plan.genLevel) { console.log(`[DeepPlanNode] 用户选定 genLevel=${finalGenLevel}，AI 建议=${plan.genLevel}，保留用户选择`); } console.log(`[DeepPlanNode] 规划完成: genLevel=${finalGenLevel}, 风格=${plan.writingStyle}, 主线=${plan.goldenThread}`); // 持久化到数据库 await bookStore.update(state.bookId, { bookAnalysis: JSON.stringify(plan), progress: PROGRESS.OUTLINE_DONE, }); return { progress: PROGRESS.OUTLINE_DONE, genLevel: finalGenLevel, bookPlan: JSON.stringify(plan), }; } catch (error) { console.error('[DeepPlanNode] 规划失败:', error); await bookStore.update(state.bookId, { progress: PROGRESS.OUTLINE_DONE, }); return { progress: PROGRESS.OUTLINE_DONE }; } } |