Simultaneous downloading of content from multiple web resources

It is required to write a function ParallelDownload that will process incoming URLs in parallel, using a specified number of workers, and return a map with the download results for each site.

package main

import (
  "context"
  "fmt"
  "math/rand"
  "time"
)

type SiteContent struct {
  Title   string
  Date    time.Time
  Content string
}

// Function to simulate a long-running task, downloading site content
func DownloadSiteContent(ctx context.Context, url string) SiteContent {
  // Generate a random wait time from 5 to 10 seconds
  rand.Seed(time.Now().UnixNano())
  sleepTime := time.Duration(rand.Intn(6)+5) * time.Second

  // Wait for the random duration
  time.Sleep(sleepTime)

  // Return simulated site content
  return SiteContent{
    Title:   "Site Title " + url,
    Date:    time.Now(),
    Content: "Site Content " + url,
  }
}

// Function for parallel downloading of site content
func ParallelDownload(ctx context.Context, urls <-chan string, numWorkers int) map[string]SiteContent {
  // TODO
  return nil
}

func main() {
  urls := make(chan string)

  // Launch function for parallel content download
  go func() {
    urls <- "http://example.com"
    urls <- "http://example.org"
    urls <- "http://example.net"
    close(urls)
  }()

  // Launch parallel download with maximum number of workers
  result := ParallelDownload(context.Background(), urls, 3)

  // Output results
  for url, content := range result {
    fmt.Printf("Site: %s\nTitle: %s\nDate: %s\nContent: %s\n\n",
      url, content.Title, content.Date, content.Content)
  }
}