refactor(monitoring): simplify brand dashboard and harden citation rendering

- drop brand_time_buckets and sparkline/coverage UI; dashboard now returns a single day - compute mention rate from total actual samples instead of averaging per-platform rates - canonicalize ai_platform_id across services and aggregate platform-overview snapshots - strip mojibake and non-answer noise from callback payloads and question detail answers - keep Kimi citations panel-only; still store raw search_results for audit - render linked [n] inline citations for qwen/yuanbao answers with scroll-to-source behavior - restrict立即采集 to today's business date with a clear i18n hint - refresh content-citations into an ant-design table with truncation and hover styling Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-23 09:11:53 +08:00
parent ce028c56bf
commit 4f4f063200
13 changed files with 1469 additions and 744 deletions
@@ -93,3 +93,68 @@ func TestFilterMonitoringPlatformsFallsBackToDisplayName(t *testing.T) {
 		{ID: "doubao", Name: "豆包"},
 	}, filtered)
 }
+
+func TestNormalizeMonitoringPlatformIDCanonicalizesLatestIDs(t *testing.T) {
+	assert.Equal(t, "qwen", normalizeMonitoringPlatformID(" QWEN "))
+	assert.Equal(t, "wenxin", normalizeMonitoringPlatformID("WenXin"))
+	assert.Equal(t, "yuanbao", normalizeMonitoringPlatformID("yuanbao"))
+}
+
+func TestFilterMonitoringPlatformsMatchesCanonicalPlatform(t *testing.T) {
+	platforms := []monitoringPlatformMetadata{
+		{ID: "qwen", Name: "通义千问"},
+	}
+	selected := "qwen"
+
+	filtered := filterMonitoringPlatforms(platforms, &selected)
+
+	assert.Equal(t, []monitoringPlatformMetadata{
+		{ID: "qwen", Name: "通义千问"},
+	}, filtered)
+}
+
+func TestIntersectMonitoringPlatformsAcceptsCanonicalIDs(t *testing.T) {
+	enabled := []monitoringPlatformMetadata{
+		{ID: "qwen", Name: "通义千问"},
+		{ID: "wenxin", Name: "文心一言"},
+	}
+
+	filtered, err := intersectMonitoringPlatforms(enabled, []string{"qwen", "wenxin"})
+	require.NoError(t, err)
+	assert.Equal(t, []monitoringPlatformMetadata{
+		{ID: "qwen", Name: "通义千问"},
+		{ID: "wenxin", Name: "文心一言"},
+	}, filtered)
+}
+
+func TestReconcileEnabledMonitoringPlatformsBackfillsSupportedCatalog(t *testing.T) {
+	assert.Equal(t, []string{"yuanbao", "kimi", "wenxin", "deepseek", "doubao", "qwen"}, reconcileEnabledMonitoringPlatforms([]string{"deepseek", "qwen", "doubao"}))
+}
+
+func TestApplyDerivedRatesToOverviewSnapshotUsesAllSamplesForMentionRate(t *testing.T) {
+	day := time.Date(2026, 4, 22, 0, 0, 0, 0, monitoringBusinessLocation())
+	snapshot := monitoringOverviewSnapshot{Date: day}
+	derived := newMonitoringDerivedMetrics()
+	derived.ByDate["2026-04-22"] = monitoringDerivedRateStats{
+		Total:            4,
+		MentionedCount:   1,
+		Top1Count:        1,
+		FirstRecommend:   1,
+		PositiveMentions: 1,
+	}
+	derived.ByDatePlatform["2026-04-22"] = map[string]monitoringDerivedRateStats{
+		"qwen":     {Total: 1, MentionedCount: 1},
+		"deepseek": {Total: 3, MentionedCount: 0},
+	}
+
+	applyDerivedRatesToOverviewSnapshot(&snapshot, derived)
+
+	require.True(t, snapshot.MentionRate.Valid)
+	require.True(t, snapshot.Top1MentionRate.Valid)
+	require.True(t, snapshot.FirstRecommendRate.Valid)
+	require.True(t, snapshot.PositiveMentionRate.Valid)
+	assert.InDelta(t, 0.25, snapshot.MentionRate.Float64, 0.0001)
+	assert.InDelta(t, 0.25, snapshot.Top1MentionRate.Float64, 0.0001)
+	assert.InDelta(t, 0.25, snapshot.FirstRecommendRate.Float64, 0.0001)
+	assert.InDelta(t, 0.25, snapshot.PositiveMentionRate.Float64, 0.0001)
+}