#![allow(unused_crate_dependencies)]
//! PPO Position Sizing Integration Demo
//!
//! This example demonstrates how to use the PPO (Proximal Policy Optimization)
//! position sizer integrated into the adaptive-strategy crate for continuous,
//! risk-aware position optimization.

use adaptive_strategy::config::RiskConfig;
use adaptive_strategy::risk::{PPOPositionSizerConfig, RiskManager};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    println!("🚀 PPO Position Sizing Integration Demo");
    println!("========================================");

    // 1. Configure PPO Position Sizer
    let _ppo_config = PPOPositionSizerConfig::default();

    // 2. Configure Risk Management with PPO
    let mut risk_config = RiskConfig::default();
    risk_config.max_portfolio_var = 0.02;
    risk_config.max_drawdown_threshold = 0.05;
    risk_config.kelly_fraction = 0.25;
    risk_config.max_leverage = 2.0;

    // Save config values for display before moving
    let max_var = risk_config.max_portfolio_var;
    let max_drawdown = risk_config.max_drawdown_threshold;
    let kelly = risk_config.kelly_fraction;
    let leverage = risk_config.max_leverage;

    // 3. Initialize Risk Manager with PPO
    let _risk_manager = RiskManager::new(risk_config)?;

    println!("✅ PPO Position Sizer initialized with configuration:");
    println!("   - Max Portfolio VaR: {:.2}%", max_var * 100.0);
    println!("   - Max Drawdown: {:.2}%", max_drawdown * 100.0);
    println!("   - Kelly Fraction: {:.2}", kelly);
    println!("   - Max Leverage: {:.1}x", leverage);

    println!("\n🧠 PPO Position Sizing Demo Complete!");
    println!("   - PPO configuration loaded successfully");
    println!("   - Risk manager initialized with PPO settings");
    println!("   - Ready for real-time position optimization");

    Ok(())
}