How do I handle file uploads with Chi in Go?

Handling file uploads in Go using the Chi router can be accomplished with a few key steps. Below is a simple example to demonstrate how to set up file upload handling in your Go application.

package main import ( "fmt" "net/http" "github.com/go-chi/chi/v5" ) func main() { r := chi.NewRouter() r.Post("/upload", func(w http.ResponseWriter, r *http.Request) { // Parse the form data err := r.ParseMultipartForm(10 << 20) // 10 MB limit if err != nil { http.Error(w, "Error parsing the form", http.StatusBadRequest) return } // Get the file from the form input file, _, err := r.FormFile("file") if err != nil { http.Error(w, "Error retrieving the file", http.StatusBadRequest) return } defer file.Close() // Here we can process the file (save it, analyze it, etc.) // For demonstration, we'll just respond with a success message fmt.Fprintf(w, "File uploaded successfully!") }) http.ListenAndServe(":8080", r) }

Go Chi file uploads HTTP requests Go file handling

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?