kandil_code 2.1.1

Intelligent development platform (CLI + TUI + Multi-Agent System) with cross-platform AI model benchmarking, system diagnostics, and advanced development tools
use anyhow::Result;
use rustyline::{error::ReadlineError, DefaultEditor};
use std::time::Duration;
use tokio::time::timeout;

pub enum InputMethod {
    Text(String),
    Voice(String),
    Image(String),
    /// Represents a gesture or action from a GUI/IDE
    Gesture(String),
    /// Represents input from a different modality
    Modal(String),
}

pub struct UniversalInput {
    editor: DefaultEditor,
    voice_enabled: bool,
    vision_enabled: bool,
    /// Configuration for input timeouts
    input_timeout: Duration,
    /// Whether to show input hints based on context
    show_contextual_hints: bool,
}

impl UniversalInput {
    pub fn new() -> Result<Self> {
        Ok(Self {
            editor: DefaultEditor::new()?,
            voice_enabled: false,
            vision_enabled: false,
            input_timeout: Duration::from_secs(30), // Default 30 second timeout
            show_contextual_hints: true,
        })
    }

    /// Enable or disable voice input
    pub fn enable_voice(&mut self, enabled: bool) {
        self.voice_enabled = enabled;
    }

    /// Enable or disable vision input
    pub fn enable_vision(&mut self, enabled: bool) {
        self.vision_enabled = enabled;
    }

    /// Set the input timeout duration
    pub fn set_timeout(&mut self, timeout: Duration) {
        self.input_timeout = timeout;
    }

    /// Enable or disable contextual hints
    pub fn set_contextual_hints(&mut self, enabled: bool) {
        self.show_contextual_hints = enabled;
    }

    /// Read input with support for multiple modalities
    pub fn read(&mut self, prompt: &str) -> Result<InputMethod> {
        // In a real implementation, this would integrate with:
        // - Voice recognition services
        // - Image processing APIs
        // - Gesture recognition systems

        // For now, we'll simulate the possibility of different input types
        // but primarily use text input

        // Show contextual hints if enabled
        if self.show_contextual_hints {
            self.show_input_hints(prompt);
        }

        // Add timeout for input
        let result = match self.editor.readline(prompt) {
            Ok(line) => {
                // Check if this looks like a voice transcript (contains specific markers)
                if line.starts_with("VOICE:") {
                    let voice_text = line.strip_prefix("VOICE:").unwrap_or(&line).trim();
                    InputMethod::Voice(voice_text.to_string())
                }
                // Check if this looks like an image description (contains specific markers)
                else if line.starts_with("IMAGE:") {
                    let image_desc = line.strip_prefix("IMAGE:").unwrap_or(&line).trim();
                    InputMethod::Image(image_desc.to_string())
                }
                // Regular text input
                else {
                    InputMethod::Text(line)
                }
            }
            Err(ReadlineError::Interrupted) => InputMethod::Text(String::new()),
            Err(ReadlineError::Eof) => InputMethod::Text("exit".into()),
            Err(err) => return Err(err.into()),
        };

        Ok(result)
    }

    /// Show contextual hints to guide user input
    fn show_input_hints(&self, prompt: &str) {
        // For example, if the prompt is related to code review
        if prompt.contains("review") || prompt.contains("code") {
            println!("💡 Hint: You can type normally, or prefix with 'VOICE:' for voice simulation, 'IMAGE:' for visual context");
        }
        // Add more context-specific hints as needed
    }

    /// Add input to history with additional metadata
    pub fn add_history(&mut self, entry: &str) -> Result<()> {
        self.editor.add_history_entry(entry)?;
        Ok(())
    }

    /// Get the current input status/mode
    pub fn status(&self) -> InputStatus {
        InputStatus {
            voice_enabled: self.voice_enabled,
            vision_enabled: self.vision_enabled,
            supported_modalities: vec![
                InputModality::Text,
                InputModality::Voice,
                InputModality::Image,
            ],
            timeout_duration: self.input_timeout,
        }
    }

    /// Simulate voice input (for testing)
    pub fn simulate_voice_input(&mut self, text: &str) -> Result<InputMethod> {
        if self.voice_enabled {
            Ok(InputMethod::Voice(text.to_string()))
        } else {
            // Fall back to text if voice is disabled
            Ok(InputMethod::Text(text.to_string()))
        }
    }

    /// Simulate image input (for testing)
    pub fn simulate_image_input(&mut self, description: &str) -> Result<InputMethod> {
        if self.vision_enabled {
            Ok(InputMethod::Image(description.to_string()))
        } else {
            // Fall back to text if vision is disabled
            Ok(InputMethod::Text(format!(
                "/ask Describe this: {}",
                description
            )))
        }
    }
}

/// Status of input capabilities
pub struct InputStatus {
    pub voice_enabled: bool,
    pub vision_enabled: bool,
    pub supported_modalities: Vec<InputModality>,
    pub timeout_duration: Duration,
}

/// Types of input modalities supported
#[derive(Debug, Clone)]
pub enum InputModality {
    Text,
    Voice,
    Image,
    Gesture,
    Keyboard,
    Touch,
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_universal_input_creation() {
        let input = UniversalInput::new();
        assert!(input.is_ok());
    }

    #[test]
    fn test_voice_simulation() {
        let mut input = UniversalInput::new().unwrap();
        input.enable_voice(true);

        let result = input.simulate_voice_input("Test voice command");
        assert!(matches!(result, Ok(InputMethod::Voice(_))));
    }

    #[test]
    fn test_image_simulation() {
        let mut input = UniversalInput::new().unwrap();
        input.enable_vision(true);

        let result = input.simulate_image_input("A code screenshot");
        assert!(matches!(result, Ok(InputMethod::Image(_))));
    }
}