package main

import (
    "context"
    "github.com/voocel/coal"
)

func main() {
    ctx := context.Background()
    
    // Get user input
    name, _ := coal.Input(ctx, "What's your name?", "Enter name...")
    
    // Show progress
    coal.ShowProgress(ctx, "Processing", 100, func(update func(int)) {
        // Your work here
        for i := 0; i <= 100; i += 10 {
            update(i)
        }
    })
    
    // Display styled result
    message := coal.NewTextDisplay().
        SetText("Welcome, " + name + "!").
        SetPrefix("Success: ").
        SetStyle(coal.NewStyle().Foreground(coal.ColorGreen))
    
    fmt.Print(message.Render(ctx))
}

// Real-time AI response streaming
stream := coal.NewAIRealTimeStream()
stream.Start()

// As each token arrives from your LLM API
for token := range llmTokens {
    stream.Append(token)  // Immediately displayed
}

stream.Complete()

// OpenAI streaming example
stream := coal.NewAIRealTimeStream()
stream.Start()

resp, _ := client.CreateChatCompletionStream(ctx, req)
for {
    response, err := resp.Recv()
    if err == io.EOF {
        break
    }
    stream.Append(response.Choices[0].Delta.Content)
}
stream.Complete()

// Text input with validation
input := coal.NewTextInput().
    SetMessage("Enter email:").
    SetPlaceholder("user@example.com").
    SetValidator(validateEmail).
    SetWidth(50)

// Password input
password := coal.NewPasswordInput().
    SetMessage("Password:").
    SetShowPassword(false)

// Multi-line text area
textarea := coal.NewTextArea().
    SetMessage("Description:").
    SetSize(60, 8).
    SetLineNumbers(true)

// Single selection
options := []coal.Option[string]{
    {Value: "go", Label: "Go", Hint: "Fast and reliable"},
    {Value: "rust", Label: "Rust", Hint: "Memory safe"},
}

selected, _ := coal.SelectOption(ctx, "Choose language:", options)

// Multi-selection
tools, _ := coal.MultiSelectOptions(ctx, "Select tools:", toolOptions)

// Progress bar
coal.ShowProgress(ctx, "Processing files", 100, func(update func(int)) {
    // Your work here
})

// Spinner
coal.ShowSpinner(ctx, "Loading data", func() {
    // Your work here
})

// Task sequence
tasks := []coal.Task{
    {"Initialize", func() { /* work */ }},
    {"Process", func() { /* work */ }},
    {"Complete", func() { /* work */ }},
}
coal.RunTaskSequence(ctx, tasks)

// Container with border
container := coal.NewContainer().
    SetTitle("User Profile").
    SetBorder(true).
    SetRounded(true).
    AddChild(userInfo).
    AddChild(statusDisplay)

// Vertical stack
vstack := coal.NewVStack().
    SetSpacing(1).
    AddChild(header).
    AddChild(content).
    AddChild(footer)

// Split layout
split := coal.NewSplit().
    SetLeft(sidebar).
    SetRight(mainContent).
    SetRatio(0.3)

// Built-in themes
coal.ThemeDefault
coal.ThemeModern  
coal.ThemeGitHub
coal.ThemeVSCode
coal.ThemeDracula

// Custom styling
style := coal.NewStyle().
    Foreground(coal.ColorBlue).
    Background(coal.ColorYellow).
    SetBold(true)

text := coal.NewTextDisplay().
    SetText("Custom styled text").
    SetStyle(style)

func main() {
    ctx := context.Background()
    
    display := coal.NewTextDisplay().
        SetText("Server status: Running").
        SetPrefix("Status: ").
        SetStyle(coal.NewStyle().Foreground(coal.ColorGreen))
    
    fmt.Print(display.Render(ctx))
}

func collectUserInfo(ctx context.Context) {
    name, _ := coal.Input(ctx, "Name:", "Enter your name")
    
    languages := []coal.Option[string]{
        {Value: "go", Label: "Go"},
        {Value: "python", Label: "Python"},
        {Value: "rust", Label: "Rust"},
    }
    
    lang, _ := coal.SelectOption(ctx, "Favorite language:", languages)
    
    // Process results...
}

func chatInterface() {
    // User input
    userMsg := coal.NewUserMessage("How does this work?")
    fmt.Print(userMsg.Render(ctx))
    
    // AI streaming response
    aiStream := coal.NewAIRealTimeStream()
    aiStream.Start()
    
    // Stream from your LLM API
    for token := range llmResponse {
        aiStream.Append(token)
    }
    
    aiStream.Complete()
}