feat: 升级结构化计分可信度

components/records/RecordsDashboard.tsx

@@ -32,6 +32,41 @@ function displayDate(value: string) {
   return new Date(value).toLocaleString('zh-CN', { hour12: false });
 }
 
+function directionText(direction?: ScoreMetric['direction']) {
+  switch (direction) {
+    case 'risk':
+      return '高分代表风险或困扰升高';
+    case 'protective':
+      return '高分代表改善或保护因素更高';
+    case 'ability':
+      return '高分代表表现更好';
+    case 'trait':
+      return '高分代表该特质更明显';
+    case 'mixed':
+      return '高分含义需按维度查看';
+    default:
+      return '高分含义需结合量表说明';
+  }
+}
+
+function changeText(current: ScoreMetric, previous?: ScoreMetric) {
+  if (!previous) return '基线';
+  const diff = current.value - previous.value;
+  if (diff === 0) return '无变化';
+  const signed = `${diff > 0 ? '+' : ''}${diff}`;
+  switch (current.direction) {
+    case 'risk':
+      return diff > 0 ? `风险升高 ${signed}` : `风险降低 ${signed}`;
+    case 'protective':
+    case 'ability':
+      return diff > 0 ? `改善 ${signed}` : `下降 ${signed}`;
+    case 'trait':
+      return diff > 0 ? `特质增强 ${signed}` : `特质减弱 ${signed}`;
+    default:
+      return `变化 ${signed}`;
+  }
+}
+
 function MetricBar({ metric }: { metric: ScoreMetric }) {
   const width = metric.max ? Math.max(0, Math.min(100, metric.value / metric.max * 100)) : 0;
   return (
@@ -244,14 +279,15 @@ export function RecordsDashboard() {
           {trendGroups.map((group) => (
             <div key={group[0].questionnaireId}>
               <div className="mb-3 flex flex-wrap items-baseline justify-between gap-2"><h2 className="text-lg font-semibold">{group[0].questionnaireTitle}</h2>{group[0].recommendedInterval && <span className="text-sm text-muted-foreground">建议间隔：{group[0].recommendedInterval}</span>}</div>
+              <p className="mb-3 text-sm text-muted-foreground">{group[0].scoreSummary.highScoreMeaning} · {directionText(group[0].scoreSummary.direction)}</p>
               <div className="overflow-x-auto border">
-                <table className="w-full min-w-[540px] text-sm"><thead className="bg-muted/50"><tr><th className="p-3 text-left">时间</th><th className="p-3 text-left">分数</th><th className="p-3 text-left">与上次相比</th></tr></thead>
-                  <tbody>{group.map((record, index) => { const metrics = record.scoreSummary.primary ? [record.scoreSummary.primary] : record.scoreSummary.metrics; const previous = group[index - 1]?.scoreSummary.primary; return <tr key={record.id} className="border-t"><td className="p-3">{displayDate(record.completedAt)}</td><td className="p-3">{metrics.map((item) => <span key={item.key} className="mr-4">{item.label} {item.value}{item.max ? `/${item.max}` : ''}</span>)}</td><td className="p-3">{record.scoreSummary.primary && previous ? `${record.scoreSummary.primary.value - previous.value > 0 ? '+' : ''}${record.scoreSummary.primary.value - previous.value}` : '基线'}</td></tr>; })}</tbody>
+                <table className="w-full min-w-[640px] text-sm"><thead className="bg-muted/50"><tr><th className="p-3 text-left">时间</th><th className="p-3 text-left">分数</th><th className="p-3 text-left">高分方向</th><th className="p-3 text-left">与上次相比</th></tr></thead>
+                  <tbody>{group.map((record, index) => { const metrics = record.scoreSummary.primary ? [record.scoreSummary.primary] : record.scoreSummary.metrics; const primary = record.scoreSummary.primary; const previous = group[index - 1]?.scoreSummary.primary; return <tr key={record.id} className="border-t"><td className="p-3">{displayDate(record.completedAt)}</td><td className="p-3">{metrics.map((item) => <span key={item.key} className="mr-4">{item.label} {item.value}{item.max ? `/${item.max}` : ''}</span>)}</td><td className="p-3">{directionText(primary?.direction || record.scoreSummary.direction)}</td><td className="p-3">{primary ? changeText(primary, previous) : '看各维度'}</td></tr>; })}</tbody>
                 </table>
               </div>
             </div>
           ))}
-          <p className="text-sm text-muted-foreground">趋势只呈现分数变化，不自动判断改善或恶化；不同量表的高分方向并不相同。</p>
+          <p className="text-sm text-muted-foreground">趋势会按量表方向解释变化；敏感量表只作为自评追踪参考，不等同于诊断。</p>
         </section>
       )}