HaHafeng
87655ea7e6
RVW module (V3.0 Smart Review Enhancement): - Add LLM data validation via PromptService (RVW_DATA_VALIDATION) - Add ClinicalAssessmentSkill with FINER-based evaluation (RVW_CLINICAL) - Remove all numeric scores from UI (editorial, methodology, overall) - Implement partial_completed status with Promise.allSettled - Add error_details JSON field to ReviewTask for granular failure info - Fix overallStatus logic: warning status now counts as success - Restructure ForensicsReport: per-table LLM results, remove top-level block - Refactor ClinicalReport: structured collapsible sections - Increase all skill timeouts to 300s for long manuscripts (20+ pages) - Increase DataForensics LLM timeout to 180s, pg-boss to 15min - Executor default fallback timeout 30s -> 60s ASL module: - Add deep research history with sidebar accordion UI - Implement waterfall flow for historical task display - Upgrade Unifuncs DeepSearch API from S2 to S3 with fallback - Add ASL_SR module seed for admin configurability - Fix new search button inconsistency Docs: - Update RVW module status to V3.0 - Update deployment changelist - Add 0305 deployment summary DB Migration: - Add error_details JSONB column to rvw_schema.review_tasks Tested: All 4 review modules verified, partial completion working Made-with: Cursor
147 lines
3.2 KiB
TypeScript
147 lines
3.2 KiB
TypeScript
/**
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* RVW稿件审查模块 - 工具函数
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* @module rvw/services/utils
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*/
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import { MethodologyReview, MethodologyStatus } from '../types/index.js';
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/**
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* 从LLM响应中解析JSON
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* 支持多种格式：纯JSON、```json代码块、混合文本
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*/
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export function parseJSONFromLLMResponse<T>(content: string): T {
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try {
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// 1. 尝试直接解析
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return JSON.parse(content) as T;
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} catch {
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// 2. 尝试提取```json代码块
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const jsonMatch = content.match(/```json\s*\n?([\s\S]*?)\n?```/);
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if (jsonMatch) {
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try {
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return JSON.parse(jsonMatch[1].trim()) as T;
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} catch {
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// 继续尝试其他方法
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}
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}
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// 3. 尝试提取{}或[]包裹的内容
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const objectMatch = content.match(/(\{[\s\S]*\})/);
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if (objectMatch) {
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try {
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return JSON.parse(objectMatch[1]) as T;
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} catch {
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// 继续尝试其他方法
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}
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}
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const arrayMatch = content.match(/(\[[\s\S]*\])/);
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if (arrayMatch) {
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try {
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return JSON.parse(arrayMatch[1]) as T;
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} catch {
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// 失败
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}
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}
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// 4. 所有尝试都失败
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throw new Error('无法从LLM响应中解析JSON');
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}
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}
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/**
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* 根据方法学评估结果判断状态
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* @param review 方法学评估结果
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* @returns pass | warn | fail
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*/
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export function getMethodologyStatus(review: MethodologyReview | null | undefined): MethodologyStatus | undefined {
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if (!review) return undefined;
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const score = review.overall_score;
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if (score >= 80) return 'pass';
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if (score >= 60) return 'warn';
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return 'fail';
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}
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/**
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* 根据选择的智能体计算综合分数
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* @param editorialScore 稿约规范性分数
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* @param methodologyScore 方法学分数
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* @param agents 选择的智能体
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* @returns 综合分数（保留1位小数）
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*/
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export function calculateOverallScore(
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editorialScore: number | null | undefined,
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methodologyScore: number | null | undefined,
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agents: string[]
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): number | null {
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const hasEditorial = agents.includes('editorial') && editorialScore != null;
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const hasMethodology = agents.includes('methodology') && methodologyScore != null;
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let score: number | null = null;
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if (hasEditorial && hasMethodology) {
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// 两个都选：稿约40% + 方法学60%
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score = editorialScore! * 0.4 + methodologyScore! * 0.6;
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} else if (hasEditorial) {
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// 只选规范性
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score = editorialScore!;
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} else if (hasMethodology) {
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// 只选方法学
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score = methodologyScore!;
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}
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// 修复浮点数精度问题：保留1位小数
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return score !== null ? Math.round(score * 10) / 10 : null;
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}
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/**
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* 验证智能体选择
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* @param agents 选择的智能体列表
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* @throws 如果选择无效
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*/
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export function validateAgentSelection(agents: string[]): void {
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if (!agents || agents.length === 0) {
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throw new Error('请至少选择一个智能体');
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}
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const validAgents = ['editorial', 'methodology', 'clinical'];
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for (const agent of agents) {
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if (!validAgents.includes(agent)) {
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throw new Error(`无效的智能体类型: ${agent}`);
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}
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}
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if (agents.length > 3) {
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throw new Error('最多只能选择3个智能体');
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}
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}
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