chore: refacto

backend/gestion/handlers/stats.go

@@ -2,30 +2,12 @@ package handlers
 
 import (
 	"gestion/db"
+	"gestion/models"
 	"net/http"
-	"time"
 
 	"github.com/gin-gonic/gin"
 )
 
-type weekdayRow struct {
-	DOW   int `gorm:"column:dow"`
-	Count int `gorm:"column:count"`
-}
-
-type dayRow struct {
-	Day   time.Time `gorm:"column:day"`
-	Count int       `gorm:"column:count"`
-}
-
-type productRow struct {
-	ProductID  int     `gorm:"column:product_id"`
-	Name       string  `gorm:"column:name"`
-	Quantity   float64 `gorm:"column:total_quantity"`
-	OrderCount int     `gorm:"column:order_count"`
-	Revenue    float64 `gorm:"column:revenue"`
-}
-
 var weekdayNames = []string{"Dimanche", "Lundi", "Mardi", "Mercredi", "Jeudi", "Vendredi", "Samedi"}
 
 // GetAdminStats returns aggregated order & product statistics for the admin dashboard.
@@ -34,7 +16,7 @@ func GetAdminStats(c *gin.Context) {
 	gdb := database.GDB
 
 	// ── Commandes par jour de la semaine (all time, non annulées) ──────────────
-	var wdRows []weekdayRow
+	var wdRows []models.WeekdayRow
 	gdb.Raw(`
 		SELECT EXTRACT(DOW FROM created_at)::int AS dow, COUNT(*) AS count
 		FROM commandes
@@ -59,7 +41,7 @@ func GetAdminStats(c *gin.Context) {
 	}
 
 	// ── Commandes par jour sur 30 jours ───────────────────────────────────────
-	var dayRows []dayRow
+	var dayRows []models.DayRow
 	gdb.Raw(`
 		SELECT DATE(created_at) AS day, COUNT(*) AS count
 		FROM commandes
@@ -79,7 +61,7 @@ func GetAdminStats(c *gin.Context) {
 	}
 
 	// ── Top produits (quantité vendue, commandes terminées) ───────────────────
-	var prodRows []productRow
+	var prodRows []models.ProductRow
 	gdb.Raw(`
 		SELECT
 			ci.product_id,
@@ -137,11 +119,11 @@ func GetAdminStats(c *gin.Context) {
 
 	c.JSON(http.StatusOK, gin.H{
 		"summary": gin.H{
-			"total_orders":   totalOrders,
-			"total_revenue":  totalRevenue,
-			"peak_weekday":   peakWeekday,
-			"top_product":    topProductName,
-			"avg_per_day":    avgPerDay,
+			"total_orders":  totalOrders,
+			"total_revenue": totalRevenue,
+			"peak_weekday":  peakWeekday,
+			"top_product":   topProductName,
+			"avg_per_day":   avgPerDay,
 		},
 		"by_weekday":   byWeekday,
 		"by_day_30":    byDay,