feat: async task pipeline for media and llm workflows
这个提交包含在：
cryptocommuniums-afk
255
server/prompts.ts
普通文件
255
server/prompts.ts
普通文件
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type RecentScore = {
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score: number | null;
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issues: unknown;
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exerciseType: string | null;
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shotCount: number | null;
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strokeConsistency: number | null;
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footworkScore: number | null;
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};
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type RecentAnalysis = {
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score: number | null;
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issues: unknown;
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corrections: unknown;
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shotCount: number | null;
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strokeConsistency: number | null;
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footworkScore: number | null;
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fluidityScore: number | null;
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};
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function skillLevelLabel(skillLevel: "beginner" | "intermediate" | "advanced") {
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switch (skillLevel) {
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case "intermediate":
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return "中级";
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case "advanced":
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return "高级";
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default:
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return "初级";
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}
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}
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export function buildTrainingPlanPrompt(input: {
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skillLevel: "beginner" | "intermediate" | "advanced";
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durationDays: number;
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focusAreas?: string[];
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recentScores: RecentScore[];
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}) {
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return [
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`你是一位专业网球教练。请为一位${skillLevelLabel(input.skillLevel)}水平的网球学员生成 ${input.durationDays} 天训练计划。`,
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"训练条件与要求：",
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"- 训练以个人可执行为主，可使用球拍、弹力带、标志盘、墙面等常见器材。",
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"- 每天训练 30-60 分钟，结构要清晰：热身、专项、脚步、力量/稳定、放松。",
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"- 输出内容要适合直接执行，不写空话，不写营销语，不写额外说明。",
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input.focusAreas?.length ? `- 重点关注：${input.focusAreas.join("、")}` : "- 如未指定重点，请自动平衡技术、脚步和体能。",
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input.recentScores.length > 0
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? `- 用户最近分析摘要：${JSON.stringify(input.recentScores)}`
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: "- 暂无历史分析数据，请基于该水平的常见薄弱项设计。",
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"每个训练项都要给出目标、动作描述、组次/次数、关键提示，避免重复堆砌。",
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].join("\n");
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}
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export function buildAdjustedTrainingPlanPrompt(input: {
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currentExercises: unknown;
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recentAnalyses: RecentAnalysis[];
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}) {
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return [
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"你是一位专业网球教练，需要根据最近训练分析结果调整现有训练计划。",
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`当前计划：${JSON.stringify(input.currentExercises)}`,
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`最近分析结果：${JSON.stringify(input.recentAnalyses)}`,
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"请优先修复最近最频繁、最影响击球质量的问题。",
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"要求：",
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"- 保留原计划中仍然有效的训练项，不要全部推倒重来。",
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"- 增加动作纠正、脚步节奏、稳定性和专项力量训练。",
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"- adjustmentNotes 需要说明为什么这样调整，以及下一阶段重点。",
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"- 输出仅返回结构化 JSON。",
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].join("\n");
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}
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export function buildTextCorrectionPrompt(input: {
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exerciseType: string;
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poseMetrics: unknown;
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detectedIssues: unknown;
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}) {
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return [
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"你是一位网球技术教练与动作纠正分析师。",
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`动作类型：${input.exerciseType}`,
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`姿态指标：${JSON.stringify(input.poseMetrics)}`,
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`已检测问题：${JSON.stringify(input.detectedIssues)}`,
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"请用中文输出专业、直接、可执行的纠正建议，使用 Markdown。",
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"内容结构必须包括：",
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"1. 动作概览",
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"2. 最高优先级的 3 个修正点",
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"3. 每个修正点对应的练习方法、感受提示、完成标准",
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"4. 下一次拍摄或训练时的注意事项",
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].join("\n");
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}
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export const multimodalCorrectionSchema = {
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type: "object",
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properties: {
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summary: { type: "string" },
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overallScore: { type: "number" },
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confidence: { type: "number" },
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phaseFindings: {
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type: "array",
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items: {
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type: "object",
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properties: {
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phase: { type: "string" },
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score: { type: "number" },
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observation: { type: "string" },
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impact: { type: "string" },
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},
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required: ["phase", "score", "observation", "impact"],
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additionalProperties: false,
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},
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},
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bodyPartFindings: {
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type: "array",
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items: {
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type: "object",
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properties: {
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bodyPart: { type: "string" },
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issue: { type: "string" },
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recommendation: { type: "string" },
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},
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required: ["bodyPart", "issue", "recommendation"],
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additionalProperties: false,
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},
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},
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priorityFixes: {
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type: "array",
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items: {
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type: "object",
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properties: {
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title: { type: "string" },
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why: { type: "string" },
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howToPractice: { type: "string" },
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successMetric: { type: "string" },
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},
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required: ["title", "why", "howToPractice", "successMetric"],
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additionalProperties: false,
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},
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},
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drills: {
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type: "array",
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items: {
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type: "object",
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properties: {
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name: { type: "string" },
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purpose: { type: "string" },
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durationMinutes: { type: "number" },
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steps: {
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type: "array",
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items: { type: "string" },
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},
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coachingCues: {
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type: "array",
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items: { type: "string" },
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},
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},
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required: ["name", "purpose", "durationMinutes", "steps", "coachingCues"],
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additionalProperties: false,
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},
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},
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safetyRisks: {
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type: "array",
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items: { type: "string" },
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},
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nextSessionFocus: {
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type: "array",
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items: { type: "string" },
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},
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recommendedCaptureTips: {
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type: "array",
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items: { type: "string" },
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},
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},
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required: [
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"summary",
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"overallScore",
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"confidence",
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"phaseFindings",
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"bodyPartFindings",
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"priorityFixes",
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"drills",
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"safetyRisks",
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"nextSessionFocus",
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"recommendedCaptureTips",
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],
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additionalProperties: false,
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};
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export function buildMultimodalCorrectionPrompt(input: {
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exerciseType: string;
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poseMetrics: unknown;
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detectedIssues: unknown;
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imageCount: number;
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}) {
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return [
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"你是一位专业网球技术教练，正在审阅学员的动作截图。",
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`动作类型：${input.exerciseType}`,
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`结构化姿态指标：${JSON.stringify(input.poseMetrics)}`,
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`已有问题标签：${JSON.stringify(input.detectedIssues)}`,
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`本次共提供 ${input.imageCount} 张关键帧图片。`,
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"请严格依据图片和结构化指标交叉判断，不要编造看不到的动作细节。",
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"分析要求：",
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"- 识别准备、引拍、击球/发力、收拍几个阶段的质量。",
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"- 指出躯干、肩髋、击球臂、非持拍手、重心和脚步的主要问题。",
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"- priorityFixes 只保留最重要、最值得优先修正的项目。",
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"- drills 要足够具体，适合下一次训练直接执行。",
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"- recommendedCaptureTips 说明下次如何补拍，以便提高判断准确度。",
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"输出仅返回 JSON，不要附加解释。",
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].join("\n");
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}
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export function renderMultimodalCorrectionMarkdown(report: {
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summary: string;
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overallScore: number;
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confidence: number;
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priorityFixes: Array<{ title: string; why: string; howToPractice: string; successMetric: string }>;
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drills: Array<{ name: string; purpose: string; durationMinutes: number; coachingCues: string[] }>;
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safetyRisks: string[];
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nextSessionFocus: string[];
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recommendedCaptureTips: string[];
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}) {
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const priorityFixes = report.priorityFixes
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.map((item, index) => [
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`${index + 1}. ${item.title}`,
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`- 原因：${item.why}`,
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`- 练习：${item.howToPractice}`,
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`- 达标：${item.successMetric}`,
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].join("\n"))
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.join("\n");
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const drills = report.drills
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.map((item) => [
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`- ${item.name}（${item.durationMinutes} 分钟）`,
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` 目的：${item.purpose}`,
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` 口令：${item.coachingCues.join("；")}`,
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].join("\n"))
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.join("\n");
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return [
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`## 动作概览`,
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report.summary,
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"",
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`- 综合评分：${Math.round(report.overallScore)}/100`,
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`- 置信度：${Math.round(report.confidence)}%`,
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"",
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"## 优先修正",
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priorityFixes || "- 暂无",
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"",
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"## 推荐练习",
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drills || "- 暂无",
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"",
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"## 风险提醒",
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report.safetyRisks.length > 0 ? report.safetyRisks.map(item => `- ${item}`).join("\n") : "- 暂无明显风险",
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"",
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"## 下次训练重点",
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report.nextSessionFocus.length > 0 ? report.nextSessionFocus.map(item => `- ${item}`).join("\n") : "- 保持当前节奏",
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"",
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"## 下次拍摄建议",
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report.recommendedCaptureTips.length > 0 ? report.recommendedCaptureTips.map(item => `- ${item}`).join("\n") : "- 保持当前拍摄方式",
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].join("\n");
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}
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