chore(stock): 调试接口增加交易所分组与涨跌分布

backend/internal/handlers/stock.go

@@ -155,6 +155,27 @@ func (h *StockHandler) TriggerSync(c *gin.Context) {
 	c.JSON(http.StatusOK, gin.H{"success": true, "records_count": count})
 }
 
+type distributionRow struct {
+	Label string `json:"label"`
+	Count int64  `json:"count"`
+}
+
+type distributionScan struct {
+	SH       int64
+	SZ       int64
+	BJ       int64
+	Up0_3    int64
+	Up3_5    int64
+	Up5_7    int64
+	Up7_10   int64
+	Up10     int64
+	Down0_3  int64
+	Down3_5  int64
+	Down5_7  int64
+	Down7_10 int64
+	Down10   int64
+}
+
 type debugStatsResponse struct {
 	TradeDate           string            `json:"trade_date"`
 	Total               int64             `json:"total"`
@@ -166,6 +187,9 @@ type debugStatsResponse struct {
 	UpByPct             int64             `json:"up_by_pct"`
 	DownByPct           int64             `json:"down_by_pct"`
 	FlatByPct           int64             `json:"flat_by_pct"`
+	ExchangeCounts      map[string]int64  `json:"exchange_counts"`
+	UpDistribution      []distributionRow `json:"up_distribution"`
+	DownDistribution    []distributionRow `json:"down_distribution"`
 	FlatSamples         []stockRow        `json:"flat_samples"`
 	BoundarySamples     []stockRow        `json:"boundary_samples"`
 	UpBoundarySamples   []stockRow        `json:"up_boundary_samples"`
@@ -214,6 +238,46 @@ func (h *StockHandler) DebugStats(c *gin.Context) {
 
 	stats.TradeDate = latestDate.Format("2006-01-02")
 
+	var dist distributionScan
+	h.DB.WithContext(ctx).Model(&models.StockDailyQuote{}).
+		Select(`
+			SUM(CASE WHEN symbol LIKE '%.SH' THEN 1 ELSE 0 END) AS sh,
+			SUM(CASE WHEN symbol LIKE '%.SZ' THEN 1 ELSE 0 END) AS sz,
+			SUM(CASE WHEN symbol LIKE '%.BJ' THEN 1 ELSE 0 END) AS bj,
+			SUM(CASE WHEN change_pct > 0 AND change_pct <= 0.03 THEN 1 ELSE 0 END) AS up_0_3,
+			SUM(CASE WHEN change_pct > 0.03 AND change_pct <= 0.05 THEN 1 ELSE 0 END) AS up_3_5,
+			SUM(CASE WHEN change_pct > 0.05 AND change_pct <= 0.07 THEN 1 ELSE 0 END) AS up_5_7,
+			SUM(CASE WHEN change_pct > 0.07 AND change_pct <= 0.10 THEN 1 ELSE 0 END) AS up_7_10,
+			SUM(CASE WHEN change_pct > 0.10 THEN 1 ELSE 0 END) AS up_10,
+			SUM(CASE WHEN change_pct < 0 AND change_pct >= -0.03 THEN 1 ELSE 0 END) AS down_0_3,
+			SUM(CASE WHEN change_pct < -0.03 AND change_pct >= -0.05 THEN 1 ELSE 0 END) AS down_3_5,
+			SUM(CASE WHEN change_pct < -0.05 AND change_pct >= -0.07 THEN 1 ELSE 0 END) AS down_5_7,
+			SUM(CASE WHEN change_pct < -0.07 AND change_pct >= -0.10 THEN 1 ELSE 0 END) AS down_7_10,
+			SUM(CASE WHEN change_pct < -0.10 THEN 1 ELSE 0 END) AS down_10
+		`).
+		Where(baseWhere, latestDate, idxList).
+		Scan(&dist)
+
+	stats.ExchangeCounts = map[string]int64{
+		"sh": dist.SH,
+		"sz": dist.SZ,
+		"bj": dist.BJ,
+	}
+	stats.UpDistribution = []distributionRow{
+		{Label: "0~3%", Count: dist.Up0_3},
+		{Label: "3~5%", Count: dist.Up3_5},
+		{Label: "5~7%", Count: dist.Up5_7},
+		{Label: "7~10%", Count: dist.Up7_10},
+		{Label: ">10%", Count: dist.Up10},
+	}
+	stats.DownDistribution = []distributionRow{
+		{Label: "3~0%", Count: dist.Down0_3},
+		{Label: "5~3%", Count: dist.Down3_5},
+		{Label: "7~5%", Count: dist.Down5_7},
+		{Label: "10~7%", Count: dist.Down7_10},
+		{Label: ">10%", Count: dist.Down10},
+	}
+
 	var flatSamples []stockRow
 	h.DB.WithContext(ctx).Model(&models.StockDailyQuote{}).
 		Select("symbol, name, close, prev_close, change_pct").