use soma_core::agents::claude_agent::ClaudeAgent;
use soma_core::agents::gemini_agent::GeminiAgent;
use soma_core::agents::gpt4_agent::{CognitiveAgent, GPT4Agent, ProposedEdit};
use soma_core::feedback_loop::{apply_consensus_edits, show_file_diff};
use soma_core::memory::SymbolicContext;
use std::fs;
fn simulate_agent_collaboration() -> Result<(), Box<dyn std::error::Error>> {
println!("🎭 SIMULATED CLI DEMO - Agent Collaboration");
println!("{}", "=".repeat(60));
println!("This shows exactly what happens when you use the interactive CLI!\n");
let agents: Vec<(String, Box<dyn CognitiveAgent>)> = vec![
("GPT-4".to_string(), Box::new(GPT4Agent)),
("Claude".to_string(), Box::new(ClaudeAgent)),
("Gemini".to_string(), Box::new(GeminiAgent)),
];
let test_file = "examples/test_code.rs";
println!("📄 Current file content: {}", test_file);
println!("{}", "=".repeat(50));
let content = fs::read_to_string(test_file)?;
for (i, line) in content.lines().enumerate() {
println!("{:3}: {}", i + 1, line);
}
println!("\n🎯 User selects: Performance optimization");
let mut ctx = SymbolicContext::new();
ctx.set("current_task", "performance");
println!("\n🤖 Agents are analyzing and proposing improvements...");
println!("{}", "=".repeat(50));
let mut proposals = Vec::new();
for (agent_name, agent) in &agents {
println!("🔍 {} is thinking...", agent_name);
let proposal = agent.propose_edit(&ctx);
proposals.push((agent_name.clone(), proposal));
}
println!("\n📋 Agent Proposals - Simulated User Review");
println!("{}", "=".repeat(50));
let mut user_selected = Vec::new();
for (i, (agent_name, proposal)) in proposals.iter().enumerate() {
println!("\n{}. 🤖 {} proposes:", i + 1, agent_name);
println!(" 📁 File: {}", proposal.file);
println!(" 📍 Lines: {:?}", proposal.line_range);
println!(" 💡 Reason: {}", proposal.reason);
println!(" 📊 Confidence: {:.1}%", proposal.confidence * 100.0);
println!(" 📝 Proposed code:");
for (line_num, line) in proposal.new_code.lines().enumerate() {
println!(" {}: {}", line_num + 1, line);
}
if agent_name == "GPT-4" && proposal.reason.contains("Performance") {
println!("\n ✅ User approves this edit!");
user_selected.push(proposal.clone());
} else {
println!("\n ❌ User rejects this edit.");
}
}
if !user_selected.is_empty() {
println!("\n🔧 Applying {} selected edit(s)...", user_selected.len());
println!("{}", "=".repeat(40));
let edit_refs: Vec<&ProposedEdit> = user_selected.iter().collect();
let backup_paths = apply_consensus_edits(&edit_refs)?;
if let Some(backup_path) = backup_paths.first() {
println!("\n📊 Changes Applied - Before vs After:");
show_file_diff(test_file, backup_path)?;
println!("\n📄 Updated file content:");
println!("{}", "=".repeat(50));
let final_content = fs::read_to_string(test_file)?;
for (i, line) in final_content.lines().enumerate() {
println!("{:3}: {}", i + 1, line);
}
println!("\n💾 User chooses to keep changes: YES");
println!("✅ Changes saved! Backup removed.");
fs::remove_file(backup_path)?;
}
}
println!("\n🎉 Collaboration Complete!");
println!("💡 This is exactly what happens in the interactive CLI!");
println!(" • You see each agent's individual proposals");
println!(" • You make the final decision on each edit");
println!(" • Changes are applied and you see the diff");
println!(" • You choose whether to keep or revert changes");
Ok(())
}
fn show_cli_usage() {
println!("\n📚 How to Use the Interactive CLI:");
println!("{}", "=".repeat(40));
println!("\n🚀 To start the real interactive CLI, run:");
println!(" cargo run --bin soma-cli");
println!("\n📋 Available options:");
println!(" 1. 📄 Analyze & improve a specific file");
println!(" • Enter file path (e.g., examples/test_code.rs)");
println!(" • Choose improvement focus (performance, safety, etc.)");
println!(" • Review each agent's proposal individually");
println!(" • Approve/reject each suggestion");
println!(" • See before/after changes");
println!(" • Keep or revert changes");
println!("\n 2. 🎯 Set custom improvement task");
println!(" • Describe what you want improved");
println!(" • Agents propose specific solutions");
println!(" • You make final decisions");
println!("\n 3. 🤖 View agent capabilities");
println!(" • See what each agent specializes in");
println!(" • Understand their different perspectives");
println!("\n💡 Your vote is always decisive - agents propose, you decide!");
}
fn main() -> Result<(), Box<dyn std::error::Error>> {
simulate_agent_collaboration()?;
show_cli_usage();
Ok(())
}