foxhunt/tests/e2e/tests/simplified_integration_test.rs

//! Simplified Integration Test
//!
//! Basic integration test to validate core functionality without heavy dependencies.
//! This test focuses on fundamental system operations and can run with minimal setup.

use anyhow::Result;

#[tokio::test]
async fn test_basic_types_and_structures() -> Result<()> {
    // Test that we can create basic types
    use common::types::{Price, Quantity, Symbol};

    let symbol = Symbol::new("AAPL".to_string());
    assert_eq!(symbol.as_str(), "AAPL");

    let price = Price::from_f64(150.50)?;
    assert!(price.to_f64() > 150.0 && price.to_f64() < 151.0);

    let qty = Quantity::from_u64(100)?;
    assert_eq!(qty.to_f64(), 100.0);

    Ok(())
}

#[tokio::test]
async fn test_market_data_structure() -> Result<()> {
    use common::types::{Exchange, HftTimestamp, MarketTick, Price, Quantity, Symbol, TickType};
    use std::time::{SystemTime, UNIX_EPOCH};

    let timestamp = SystemTime::now().duration_since(UNIX_EPOCH)?.as_nanos() as u64;

    let tick = MarketTick::with_timestamp(
        Symbol::new("MSFT".to_string()),
        Price::from_f64(300.0)?,
        Quantity::from_u64(500)?,
        HftTimestamp::from_nanos(timestamp),
        TickType::Trade,
        Exchange::NASDAQ,
        1,
    );

    assert_eq!(tick.symbol.as_str(), "MSFT");
    assert!(tick.price.to_f64() > 299.0 && tick.price.to_f64() < 301.0);

    Ok(())
}

#[tokio::test]
async fn test_order_validation_logic() -> Result<()> {
    // Test basic order validation without requiring services

    #[derive(Debug)]
    struct TestOrder {
        symbol: String,
        quantity: f64,
        price: Option<f64>,
        side: String,
    }

    fn validate_order(order: &TestOrder) -> Result<bool, String> {
        // Basic validation rules
        if order.symbol.is_empty() {
            return Err("Symbol cannot be empty".to_string());
        }

        if order.quantity <= 0.0 {
            return Err("Quantity must be positive".to_string());
        }

        if order.quantity > 1_000_000.0 {
            return Err("Quantity exceeds maximum limit".to_string());
        }

        if let Some(price) = order.price {
            if price <= 0.0 {
                return Err("Price must be positive".to_string());
            }
        }

        if order.side != "buy" && order.side != "sell" {
            return Err("Side must be buy or sell".to_string());
        }

        Ok(true)
    }

    // Test valid order
    let valid_order = TestOrder {
        symbol: "AAPL".to_string(),
        quantity: 100.0,
        price: Some(150.0),
        side: "buy".to_string(),
    };

    assert!(validate_order(&valid_order).is_ok());

    // Test invalid orders
    let invalid_symbol = TestOrder {
        symbol: "".to_string(),
        quantity: 100.0,
        price: Some(150.0),
        side: "buy".to_string(),
    };
    assert!(validate_order(&invalid_symbol).is_err());

    let invalid_quantity = TestOrder {
        symbol: "AAPL".to_string(),
        quantity: 0.0,
        price: Some(150.0),
        side: "buy".to_string(),
    };
    assert!(validate_order(&invalid_quantity).is_err());

    let excessive_quantity = TestOrder {
        symbol: "AAPL".to_string(),
        quantity: 2_000_000.0,
        price: Some(150.0),
        side: "buy".to_string(),
    };
    assert!(validate_order(&excessive_quantity).is_err());

    Ok(())
}

#[tokio::test]
async fn test_risk_calculation_logic() -> Result<()> {
    // Test risk calculation without requiring services

    fn calculate_position_value(quantity: f64, price: f64) -> f64 {
        quantity * price
    }

    fn calculate_portfolio_var(positions: &[(f64, f64)], confidence_level: f64) -> f64 {
        // Simplified VaR calculation for testing
        let total_value: f64 = positions.iter().map(|(q, p)| q * p).sum();
        let volatility = 0.02; // 2% daily volatility assumption

        // VaR = Total Value × Volatility × Z-score
        // For 95% confidence, Z ≈ 1.65
        let z_score = if confidence_level > 0.99 {
            2.33
        } else if confidence_level > 0.95 {
            1.65
        } else {
            1.28
        };

        total_value * volatility * z_score
    }

    // Test position value calculation
    let value = calculate_position_value(100.0, 150.0);
    assert_eq!(value, 15000.0);

    // Test VaR calculation
    let positions = vec![
        (100.0, 150.0), // 100 shares at $150
        (50.0, 300.0),  // 50 shares at $300
    ];

    let var_95 = calculate_portfolio_var(&positions, 0.95);
    let var_99 = calculate_portfolio_var(&positions, 0.99);

    assert!(var_95 > 0.0);
    assert!(var_99 > var_95); // 99% VaR should be higher than 95%

    Ok(())
}

#[tokio::test]
async fn test_feature_extraction_logic() -> Result<()> {
    // Test feature extraction without requiring ML services

    fn extract_price_features(prices: &[f64]) -> Result<Vec<f64>> {
        if prices.is_empty() {
            return Err(anyhow::anyhow!("No prices provided"));
        }

        let mut features = Vec::new();

        // Simple moving average
        let sma: f64 = prices.iter().sum::<f64>() / prices.len() as f64;
        features.push(sma);

        // Price volatility (standard deviation)
        let variance: f64 =
            prices.iter().map(|p| (p - sma).powi(2)).sum::<f64>() / prices.len() as f64;
        let volatility = variance.sqrt();
        features.push(volatility);

        // Price momentum (last - first)
        let momentum = prices.last().unwrap() - prices.first().unwrap();
        features.push(momentum);

        // Min/max range
        let min = prices.iter().cloned().fold(f64::INFINITY, f64::min);
        let max = prices.iter().cloned().fold(f64::NEG_INFINITY, f64::max);
        features.push(max - min);

        Ok(features)
    }

    let prices = vec![150.0, 151.5, 150.8, 152.0, 151.0];
    let features = extract_price_features(&prices)?;

    assert_eq!(features.len(), 4); // SMA, volatility, momentum, range
    assert!(features[0] > 150.0 && features[0] < 152.0); // SMA
    assert!(features[1] > 0.0); // Volatility should be positive
    assert!(features[3] >= 0.0); // Range should be non-negative

    Ok(())
}

#[tokio::test]
async fn test_concurrent_operations() -> Result<()> {
    // Test concurrent processing without requiring services
    use std::sync::{
        atomic::{AtomicU64, Ordering},
        Arc,
    };
    use tokio::task;

    let counter = Arc::new(AtomicU64::new(0));
    let mut handles = vec![];

    // Spawn 10 concurrent tasks
    for _ in 0..10 {
        let counter_clone = counter.clone();
        let handle = task::spawn(async move {
            // Simulate some work
            tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;
            counter_clone.fetch_add(1, Ordering::SeqCst);
        });
        handles.push(handle);
    }

    // Wait for all tasks to complete
    for handle in handles {
        handle.await?;
    }

    assert_eq!(counter.load(Ordering::SeqCst), 10);

    Ok(())
}

#[tokio::test]
async fn test_error_handling_patterns() -> Result<()> {
    // Test error handling patterns

    fn process_order(symbol: &str, quantity: f64) -> Result<String, String> {
        if symbol.is_empty() {
            return Err("Invalid symbol".to_string());
        }

        if quantity <= 0.0 {
            return Err("Invalid quantity".to_string());
        }

        Ok(format!("Order processed: {} @ {}", symbol, quantity))
    }

    // Test success case
    let result = process_order("AAPL", 100.0);
    assert!(result.is_ok());

    // Test error cases
    let result = process_order("", 100.0);
    assert!(result.is_err());

    let result = process_order("AAPL", -100.0);
    assert!(result.is_err());

    Ok(())
}

#[tokio::test]
async fn test_data_serialization() -> Result<()> {
    // Test JSON serialization/deserialization
    use serde::{Deserialize, Serialize};

    #[derive(Debug, Serialize, Deserialize, PartialEq)]
    struct OrderData {
        symbol: String,
        quantity: f64,
        price: f64,
        side: String,
    }

    let order = OrderData {
        symbol: "AAPL".to_string(),
        quantity: 100.0,
        price: 150.0,
        side: "buy".to_string(),
    };

    // Serialize
    let json = serde_json::to_string(&order)?;
    assert!(json.contains("AAPL"));

    // Deserialize
    let deserialized: OrderData = serde_json::from_str(&json)?;
    assert_eq!(order, deserialized);

    Ok(())
}

#[tokio::test]
async fn test_timestamp_handling() -> Result<()> {
    use std::time::{Duration, SystemTime, UNIX_EPOCH};

    // Test timestamp operations
    let now = SystemTime::now();
    let timestamp = now.duration_since(UNIX_EPOCH)?.as_nanos() as u64;

    assert!(timestamp > 0);

    // Test duration calculations
    let start = SystemTime::now();
    tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;
    let end = SystemTime::now();

    let duration = end.duration_since(start)?;
    assert!(duration >= Duration::from_millis(10));

    Ok(())
}

#[tokio::test]
async fn test_collection_operations() -> Result<()> {
    use std::collections::HashMap;

    // Test hashmap operations for position tracking
    let mut positions: HashMap<String, (f64, f64)> = HashMap::new();

    positions.insert("AAPL".to_string(), (100.0, 150.0));
    positions.insert("MSFT".to_string(), (50.0, 300.0));

    assert_eq!(positions.len(), 2);

    // Calculate total portfolio value
    let total_value: f64 = positions.values().map(|(q, p)| q * p).sum();
    assert_eq!(total_value, 30000.0);

    // Update position
    if let Some(pos) = positions.get_mut("AAPL") {
        pos.0 += 50.0; // Add 50 shares
    }

    let aapl_position = positions.get("AAPL").unwrap();
    assert_eq!(aapl_position.0, 150.0);

    Ok(())
}