In SwiftUI, validating forms and displaying inline errors can enhance user experience by providing real-time feedback. This process typically involves creating a form, binding user input to state variables, and checking these variables against validation rules. Below is an example demonstrating how to validate a form with inline error messages in SwiftUI.
struct ContentView: View {
@State private var name: String = ""
@State private var email: String = ""
@State private var nameError: String?
@State private var emailError: String?
var body: some View {
Form {
Section(header: Text("User Information")) {
TextField("Enter your name", text: $name)
.onChange(of: name) { _ in validateName() }
if let nameError = nameError {
Text(nameError).foregroundColor(.red)
}
TextField("Enter your email", text: $email)
.onChange(of: email) { _ in validateEmail() }
if let emailError = emailError {
Text(emailError).foregroundColor(.red)
}
}
Button("Submit") {
// Handle form submission
validateName()
validateEmail()
if nameError == nil && emailError == nil {
// Proceed with form submission
}
}
}
}
private func validateName() {
if name.isEmpty {
nameError = "Name cannot be empty."
} else {
nameError = nil
}
}
private func validateEmail() {
if email.isEmpty {
emailError = "Email cannot be empty."
} else if !email.contains("@") {
emailError = "Invalid email format."
} else {
emailError = nil
}
}
}
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?