#[cfg(test)]
mod tui_integration_tests {
use std::path::PathBuf;
use uuid::Uuid;
#[derive(Debug, Clone)]
struct TestApp {
pub current_mode: AppMode,
pub current_input: String,
pub messages: Vec<TestMessage>,
pub agents: Vec<TestAgent>,
pub media_files: Vec<TestMediaFile>,
pub selected_media_index: usize,
pub selected_agent_index: usize,
}
#[derive(Debug, Clone)]
enum AppMode {
Chat,
Agents,
Media,
Help,
}
#[derive(Debug, Clone)]
struct TestMessage {
pub role: String,
pub content: String,
#[allow(dead_code)]
pub timestamp: String,
#[allow(dead_code)]
pub id: Uuid,
}
#[derive(Debug, Clone)]
struct TestAgent {
pub id: Uuid,
pub name: String,
pub description: String,
pub capabilities: Vec<String>,
pub status: AgentStatus,
pub task_count: usize,
}
#[derive(Debug, Clone)]
enum AgentStatus {
Idle,
#[allow(dead_code)]
Active,
#[allow(dead_code)]
Processing,
Error(String),
}
#[derive(Debug, Clone)]
struct TestMediaFile {
pub path: PathBuf,
#[allow(dead_code)]
pub file_type: MediaType,
#[allow(dead_code)]
pub size: u64,
pub selected: bool,
}
#[derive(Debug, Clone)]
enum MediaType {
Image,
Audio,
Video,
Unknown,
}
impl TestApp {
fn new() -> Self {
Self {
current_mode: AppMode::Chat,
current_input: String::new(),
messages: Vec::new(),
agents: Vec::new(),
media_files: Vec::new(),
selected_media_index: 0,
selected_agent_index: 0,
}
}
fn switch_mode(&mut self, mode: AppMode) {
self.current_mode = mode;
}
fn add_message(&mut self, role: &str, content: &str) {
let message = TestMessage {
role: role.to_string(),
content: content.to_string(),
timestamp: "2024-01-01 12:00:00".to_string(),
id: Uuid::new_v4(),
};
self.messages.push(message);
}
fn add_agent(&mut self, name: &str, description: &str) {
let agent = TestAgent {
id: Uuid::new_v4(),
name: name.to_string(),
description: description.to_string(),
capabilities: vec!["text".to_string(), "image".to_string()],
status: AgentStatus::Idle,
task_count: 0,
};
self.agents.push(agent);
}
fn add_media_file(&mut self, path: &str, media_type: MediaType) {
let media_file = TestMediaFile {
path: PathBuf::from(path),
file_type: media_type,
size: 1024,
selected: false,
};
self.media_files.push(media_file);
}
fn next_media(&mut self) {
if !self.media_files.is_empty() {
self.selected_media_index =
(self.selected_media_index + 1) % self.media_files.len();
}
}
fn previous_media(&mut self) {
if !self.media_files.is_empty() {
self.selected_media_index = if self.selected_media_index == 0 {
self.media_files.len() - 1
} else {
self.selected_media_index - 1
};
}
}
fn toggle_media_selection(&mut self) {
if let Some(media) = self.media_files.get_mut(self.selected_media_index) {
media.selected = !media.selected;
}
}
fn get_selected_media(&self) -> Vec<&TestMediaFile> {
self.media_files.iter().filter(|m| m.selected).collect()
}
}
#[test]
fn test_app_initialization() {
let app = TestApp::new();
assert!(matches!(app.current_mode, AppMode::Chat));
assert!(app.current_input.is_empty());
assert!(app.messages.is_empty());
assert!(app.agents.is_empty());
assert!(app.media_files.is_empty());
assert_eq!(app.selected_media_index, 0);
assert_eq!(app.selected_agent_index, 0);
}
#[test]
fn test_mode_switching_workflow() {
let mut app = TestApp::new();
assert!(matches!(app.current_mode, AppMode::Chat));
app.switch_mode(AppMode::Agents);
assert!(matches!(app.current_mode, AppMode::Agents));
app.switch_mode(AppMode::Media);
assert!(matches!(app.current_mode, AppMode::Media));
app.switch_mode(AppMode::Help);
assert!(matches!(app.current_mode, AppMode::Help));
app.switch_mode(AppMode::Chat);
assert!(matches!(app.current_mode, AppMode::Chat));
}
#[test]
fn test_conversation_workflow() {
let mut app = TestApp::new();
app.add_message("user", "Hello, AI!");
assert_eq!(app.messages.len(), 1);
assert_eq!(app.messages[0].role, "user");
assert_eq!(app.messages[0].content, "Hello, AI!");
app.add_message("assistant", "Hello! How can I help you today?");
assert_eq!(app.messages.len(), 2);
assert_eq!(app.messages[1].role, "assistant");
app.add_message("user", "Can you analyze this image?");
assert_eq!(app.messages.len(), 3);
let conversation_text: Vec<String> = app
.messages
.iter()
.map(|m| format!("{}: {}", m.role, m.content))
.collect();
assert_eq!(conversation_text.len(), 3);
assert!(conversation_text[0].contains("user: Hello, AI!"));
assert!(conversation_text[1].contains("assistant: Hello! How can I help"));
assert!(conversation_text[2].contains("user: Can you analyze this image?"));
}
#[test]
fn test_agent_management_workflow() {
let mut app = TestApp::new();
app.add_agent("Vision Agent", "Analyzes images and visual content");
app.add_agent("Audio Agent", "Processes audio and speech");
app.add_agent("Text Agent", "Handles text analysis and generation");
assert_eq!(app.agents.len(), 3);
let vision_agent = &app.agents[0];
assert_eq!(vision_agent.name, "Vision Agent");
assert_eq!(
vision_agent.description,
"Analyzes images and visual content"
);
assert!(matches!(vision_agent.status, AgentStatus::Idle));
assert_eq!(vision_agent.task_count, 0);
assert!(vision_agent.capabilities.contains(&"text".to_string()));
assert!(vision_agent.capabilities.contains(&"image".to_string()));
let ids: Vec<Uuid> = app.agents.iter().map(|a| a.id).collect();
assert_eq!(ids.len(), 3);
assert_ne!(ids[0], ids[1]);
assert_ne!(ids[1], ids[2]);
assert_ne!(ids[0], ids[2]);
}
#[test]
fn test_media_management_workflow() {
let mut app = TestApp::new();
app.add_media_file("image1.jpg", MediaType::Image);
app.add_media_file("audio1.mp3", MediaType::Audio);
app.add_media_file("video1.mp4", MediaType::Video);
app.add_media_file("unknown.txt", MediaType::Unknown);
assert_eq!(app.media_files.len(), 4);
assert_eq!(app.selected_media_index, 0);
app.next_media();
assert_eq!(app.selected_media_index, 1);
app.next_media();
assert_eq!(app.selected_media_index, 2);
app.next_media();
assert_eq!(app.selected_media_index, 3);
app.next_media();
assert_eq!(app.selected_media_index, 0);
app.previous_media();
assert_eq!(app.selected_media_index, 3);
app.previous_media();
assert_eq!(app.selected_media_index, 2);
}
#[test]
fn test_media_selection_workflow() {
let mut app = TestApp::new();
app.add_media_file("image1.jpg", MediaType::Image);
app.add_media_file("audio1.mp3", MediaType::Audio);
app.add_media_file("video1.mp4", MediaType::Video);
assert_eq!(app.get_selected_media().len(), 0);
app.toggle_media_selection();
assert_eq!(app.get_selected_media().len(), 1);
assert!(app.media_files[0].selected);
app.next_media();
app.toggle_media_selection();
assert_eq!(app.get_selected_media().len(), 2);
assert!(app.media_files[1].selected);
app.selected_media_index = 0;
app.toggle_media_selection();
assert_eq!(app.get_selected_media().len(), 1);
assert!(!app.media_files[0].selected);
assert!(app.media_files[1].selected);
}
#[test]
fn test_multimodal_conversation_workflow() {
let mut app = TestApp::new();
app.add_media_file("screenshot.png", MediaType::Image);
app.add_media_file("recording.mp3", MediaType::Audio);
app.toggle_media_selection();
app.next_media();
app.toggle_media_selection();
assert_eq!(app.get_selected_media().len(), 2);
app.add_message("user", "Please analyze the attached image and audio");
app.add_message("system", "Attached: screenshot.png, recording.mp3");
app.add_message(
"assistant",
"I can see the image shows... and the audio contains...",
);
assert_eq!(app.messages.len(), 3);
let system_message = &app.messages[1];
assert_eq!(system_message.role, "system");
assert!(system_message.content.contains("screenshot.png"));
assert!(system_message.content.contains("recording.mp3"));
}
#[test]
fn test_agent_swarm_workflow() {
let mut app = TestApp::new();
app.add_agent("Image Analyzer", "Specialized in computer vision");
app.add_agent("Audio Processor", "Handles speech and audio analysis");
app.add_agent(
"Text Summarizer",
"Creates summaries and extracts key points",
);
app.add_agent("Coordinator", "Manages task distribution and results");
assert_eq!(app.agents.len(), 4);
let _task_description = "Analyze uploaded media and provide comprehensive report";
let image_tasks = vec![
"Extract visual elements",
"Identify objects",
"Analyze composition",
];
let audio_tasks = vec!["Transcribe speech", "Analyze tone", "Extract keywords"];
let text_tasks = vec![
"Summarize findings",
"Generate report",
"Highlight insights",
];
let coord_tasks = vec!["Coordinate agents", "Compile results", "Final review"];
assert_eq!(image_tasks.len(), 3);
assert_eq!(audio_tasks.len(), 3);
assert_eq!(text_tasks.len(), 3);
assert_eq!(coord_tasks.len(), 3);
let all_capabilities: Vec<Vec<String>> =
app.agents.iter().map(|a| a.capabilities.clone()).collect();
assert_eq!(all_capabilities.len(), 4);
for capabilities in all_capabilities {
assert!(!capabilities.is_empty());
}
}
#[test]
fn test_error_handling_workflow() {
let mut app = TestApp::new();
app.add_agent("Test Agent", "Agent for testing error handling");
assert_eq!(app.agents.len(), 1);
if let Some(agent) = app.agents.get_mut(0) {
agent.status = AgentStatus::Error("Connection timeout".to_string());
}
let agent = &app.agents[0];
match &agent.status {
AgentStatus::Error(msg) => {
assert_eq!(msg, "Connection timeout");
}
_ => panic!("Expected error status"),
}
if let Some(agent) = app.agents.get_mut(0) {
agent.status = AgentStatus::Idle;
}
let agent = &app.agents[0];
assert!(matches!(agent.status, AgentStatus::Idle));
}
#[test]
fn test_complete_tui_session_workflow() {
let mut app = TestApp::new();
assert!(matches!(app.current_mode, AppMode::Chat));
app.switch_mode(AppMode::Media);
app.add_media_file("document.pdf", MediaType::Unknown);
app.add_media_file("presentation.jpg", MediaType::Image);
app.add_media_file("meeting.mp3", MediaType::Audio);
app.toggle_media_selection(); app.next_media();
app.toggle_media_selection();
assert_eq!(app.get_selected_media().len(), 2);
app.switch_mode(AppMode::Agents);
app.add_agent("Document Analyzer", "Processes documents and PDFs");
app.add_agent("Vision Specialist", "Analyzes images and presentations");
app.add_agent("Report Generator", "Creates comprehensive analysis reports");
assert_eq!(app.agents.len(), 3);
app.switch_mode(AppMode::Chat);
app.add_message(
"user",
"Please analyze the uploaded document and presentation",
);
app.add_message("system", "Processing 2 files with 3 agents");
app.add_message("assistant", "Analysis complete. The document contains...");
assert_eq!(app.messages.len(), 3);
assert!(matches!(app.current_mode, AppMode::Chat));
assert_eq!(app.media_files.len(), 3);
assert_eq!(app.get_selected_media().len(), 2);
assert_eq!(app.agents.len(), 3);
assert_eq!(app.messages.len(), 3);
let selected_media: Vec<&str> = app
.get_selected_media()
.iter()
.map(|m| m.path.file_name().unwrap().to_str().unwrap())
.collect();
assert!(selected_media.contains(&"document.pdf"));
assert!(selected_media.contains(&"presentation.jpg"));
let agent_names: Vec<&str> = app.agents.iter().map(|a| a.name.as_str()).collect();
assert!(agent_names.contains(&"Document Analyzer"));
assert!(agent_names.contains(&"Vision Specialist"));
assert!(agent_names.contains(&"Report Generator"));
let last_message = &app.messages[app.messages.len() - 1];
assert_eq!(last_message.role, "assistant");
assert!(last_message.content.contains("Analysis complete"));
}
}