feat: big-suite terraform example + provider nodejs zip fix

- examples/big-suite: E-Commerce 10 functions, 6 layers, real depends_on
- provider: nodejs packages now wrapped in ESM zip (buildJSDeployZip)
- provider: loadPackageLiteral reads raw file, nodejs zip via source_dir
- all 10 functions verified working: python/node/ruby/go runtimes

examples/big-suite/code/go-report/handler.go

@@ -0,0 +1,68 @@
+package main
+
+import (
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"time"
+)
+
+// Симулирует агрегацию данных за день (в реальности — запрос к БД)
+
+type DailyStat struct {
+	Date        string  `json:"date"`
+	Orders      int     `json:"orders"`
+	Revenue     float64 `json:"revenue"`
+	AvgOrder    float64 `json:"avg_order_value"`
+	NewUsers    int     `json:"new_users"`
+	TopCategory string  `json:"top_category"`
+}
+
+func generateDailyStats(days int) []DailyStat {
+	stats := make([]DailyStat, days)
+	base := time.Now().UTC()
+	revenues := []float64{4821.50, 3920.00, 6100.75, 5200.10, 7330.40, 4100.00, 8950.30}
+	orders := []int{38, 31, 49, 42, 58, 33, 72}
+	categories := []string{"electronics", "furniture", "electronics", "stationery", "electronics", "furniture", "electronics"}
+
+	for i := 0; i < days; i++ {
+		day := base.AddDate(0, 0, -(days - 1 - i))
+		rev := revenues[i%len(revenues)]
+		ord := orders[i%len(orders)]
+		stats[i] = DailyStat{
+			Date:        day.Format("2006-01-02"),
+			Orders:      ord,
+			Revenue:     rev,
+			AvgOrder:    float64(int(rev/float64(ord)*100)) / 100,
+			NewUsers:    5 + i*2,
+			TopCategory: categories[i%len(categories)],
+		}
+	}
+	return stats
+}
+
+func Handler(w http.ResponseWriter, r *http.Request) {
+	w.Header().Set("Content-Type", "application/json")
+
+	days := 7
+	stats := generateDailyStats(days)
+
+	totalRevenue := 0.0
+	totalOrders := 0
+	for _, s := range stats {
+		totalRevenue += s.Revenue
+		totalOrders += s.Orders
+	}
+
+	report := map[string]interface{}{
+		"status":          "ok",
+		"generated_at":    time.Now().UTC().Format(time.RFC3339),
+		"period_days":     days,
+		"total_revenue":   fmt.Sprintf("%.2f", totalRevenue),
+		"total_orders":    totalOrders,
+		"avg_daily_rev":   fmt.Sprintf("%.2f", totalRevenue/float64(days)),
+		"daily_breakdown": stats,
+	}
+
+	json.NewEncoder(w).Encode(report)
+}