fix: KPI dashboard always generates comprehensive 10+ metrics

Previously AI-provided kpiTargets (often only 3-4 items) would
completely replace our channel-based KPI generation. Now we always
build the full set (YouTube, Instagram, Naver, 강남언니, Google Maps,
cross-platform) and merge AI extras that don't overlap.

Also adds 강남언니 평점/리뷰, 네이버 플레이스 평점 as standard KPIs.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

src/lib/transformReport.ts

@@ -332,19 +332,8 @@ function buildRoadmap(r: ApiReport): import('../types/report').RoadmapMonth[] {
 }
 
 function buildKpiDashboard(r: ApiReport): import('../types/report').KPIMetric[] {
-  // If AI provided explicit KPIs, use them
+  // Always build comprehensive KPIs from channel data.
-  if (r.kpiTargets?.length) {
+  // AI-provided kpiTargets are merged in (fill gaps) but don't replace our metrics.
-    return r.kpiTargets
-      .filter((k): k is { metric?: string; current?: string; target3Month?: string; target12Month?: string } => !!k?.metric)
-      .map(k => ({
-        metric: k.metric || '',
-        current: k.current || '-',
-        target3Month: k.target3Month || '-',
-        target12Month: k.target12Month || '-',
-      }));
-  }
-
-  // Build comprehensive KPI from channel data
   const channels = r.channelAnalysis || {};
   const metrics: import('../types/report').KPIMetric[] = [];
 
@@ -404,6 +393,36 @@ function buildKpiDashboard(r: ApiReport): import('../types/report').KPIMetric[]
     });
   }
 
+  // 강남언니
+  if (channels.gangnamUnni) {
+    const rating = channels.gangnamUnni.rating ?? 0;
+    const correctedRating = typeof rating === 'number' && rating > 0 && rating <= 5 ? rating * 2 : rating;
+    metrics.push({
+      metric: '강남언니 평점',
+      current: correctedRating > 0 ? `${correctedRating}/10` : '-',
+      target3Month: correctedRating > 0 ? `${Math.min(correctedRating + 0.5, 10).toFixed(1)}/10` : '8.0/10',
+      target12Month: correctedRating > 0 ? `${Math.min(correctedRating + 1.0, 10).toFixed(1)}/10` : '9.0/10',
+    });
+    if (channels.gangnamUnni.reviews) {
+      metrics.push({
+        metric: '강남언니 리뷰 수',
+        current: fmt(channels.gangnamUnni.reviews as number),
+        target3Month: fmt(Math.round((channels.gangnamUnni.reviews as number) * 1.15)),
+        target12Month: fmt(Math.round((channels.gangnamUnni.reviews as number) * 1.5)),
+      });
+    }
+  }
+
+  // Google Maps
+  if (channels.naverPlace) {
+    metrics.push({
+      metric: '네이버 플레이스 평점',
+      current: channels.naverPlace.rating ? `${channels.naverPlace.rating}/5` : '-',
+      target3Month: '4.5/5',
+      target12Month: '4.8/5',
+    });
+  }
+
   // Cross-platform
   metrics.push({
     metric: '웹사이트 + SNS 유입',
@@ -419,6 +438,33 @@ function buildKpiDashboard(r: ApiReport): import('../types/report').KPIMetric[]
     target12Month: '월 50건',
   });
 
+  // Merge AI-provided KPIs that we didn't already cover
+  if (r.kpiTargets?.length) {
+    const existingNames = new Set(metrics.map(m => m.metric.toLowerCase()));
+    for (const k of r.kpiTargets) {
+      if (!k?.metric) continue;
+      // Skip if we already have a similar metric
+      const lower = k.metric.toLowerCase();
+      if (existingNames.has(lower)) continue;
+      if (lower.includes('youtube') && existingNames.has('youtube 구독자')) continue;
+      if (lower.includes('instagram') && existingNames.has('instagram kr 팔로워')) continue;
+      if (lower.includes('강남언니') || lower.includes('gangnam')) {
+        // Use AI's gangnamunni data — update existing or add
+        const guIdx = metrics.findIndex(m => m.metric.includes('강남언니'));
+        if (guIdx >= 0) {
+          metrics[guIdx] = { metric: k.metric, current: k.current || '-', target3Month: k.target3Month || '-', target12Month: k.target12Month || '-' };
+          continue;
+        }
+      }
+      metrics.push({
+        metric: k.metric,
+        current: k.current || '-',
+        target3Month: k.target3Month || '-',
+        target12Month: k.target12Month || '-',
+      });
+    }
+  }
+
   return metrics;
 }