Naeel
01df1498d6
- 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
69 lines
1.8 KiB
Go
69 lines
1.8 KiB
Go
package main
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import (
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"encoding/json"
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"fmt"
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"net/http"
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"time"
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)
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// Симулирует агрегацию данных за день (в реальности — запрос к БД)
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type DailyStat struct {
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Date string `json:"date"`
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Orders int `json:"orders"`
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Revenue float64 `json:"revenue"`
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AvgOrder float64 `json:"avg_order_value"`
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NewUsers int `json:"new_users"`
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TopCategory string `json:"top_category"`
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}
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func generateDailyStats(days int) []DailyStat {
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stats := make([]DailyStat, days)
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base := time.Now().UTC()
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revenues := []float64{4821.50, 3920.00, 6100.75, 5200.10, 7330.40, 4100.00, 8950.30}
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orders := []int{38, 31, 49, 42, 58, 33, 72}
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categories := []string{"electronics", "furniture", "electronics", "stationery", "electronics", "furniture", "electronics"}
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for i := 0; i < days; i++ {
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day := base.AddDate(0, 0, -(days - 1 - i))
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rev := revenues[i%len(revenues)]
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ord := orders[i%len(orders)]
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stats[i] = DailyStat{
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Date: day.Format("2006-01-02"),
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Orders: ord,
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Revenue: rev,
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AvgOrder: float64(int(rev/float64(ord)*100)) / 100,
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NewUsers: 5 + i*2,
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TopCategory: categories[i%len(categories)],
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}
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}
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return stats
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}
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func Handler(w http.ResponseWriter, r *http.Request) {
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w.Header().Set("Content-Type", "application/json")
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days := 7
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stats := generateDailyStats(days)
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totalRevenue := 0.0
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totalOrders := 0
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for _, s := range stats {
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totalRevenue += s.Revenue
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totalOrders += s.Orders
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}
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report := map[string]interface{}{
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"status": "ok",
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"generated_at": time.Now().UTC().Format(time.RFC3339),
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"period_days": days,
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"total_revenue": fmt.Sprintf("%.2f", totalRevenue),
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"total_orders": totalOrders,
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"avg_daily_rev": fmt.Sprintf("%.2f", totalRevenue/float64(days)),
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"daily_breakdown": stats,
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}
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json.NewEncoder(w).Encode(report)
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}
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