//! Tests for report generation and result aggregation //! //! Target Coverage: 40%+ for result aggregation, report formatting, and data export use anyhow::Result; use chrono::{Duration, Utc}; use rust_decimal::Decimal; use std::collections::HashMap; use std::sync::Arc; mod mock_repositories; use backtesting_service::foxhunt::tli::BacktestStatus; use backtesting_service::performance::PerformanceAnalyzer; use backtesting_service::repositories::TradingRepository; use backtesting_service::strategy_engine::{BacktestTrade, TradeSide}; use config::structures::BacktestingPerformanceConfig; use mock_repositories::*; /// Helper to create a sample trade fn create_trade( id: u32, symbol: &str, entry_price: f64, exit_price: f64, quantity: f64, days_offset: i64, ) -> BacktestTrade { let base_time = Utc::now() - Duration::days(100); let entry_time = base_time + Duration::days(days_offset); let exit_time = entry_time + Duration::days(1); let pnl = (exit_price - entry_price) * quantity; let return_percent = pnl / (entry_price * quantity); BacktestTrade { trade_id: format!("trade_{}", id), symbol: symbol.to_string(), side: TradeSide::Buy, quantity: Decimal::from_f64_retain(quantity).unwrap_or(Decimal::ZERO), entry_price: Decimal::from_f64_retain(entry_price).unwrap_or(Decimal::ZERO), exit_price: Decimal::from_f64_retain(exit_price).unwrap_or(Decimal::ZERO), entry_time, exit_time, pnl: Decimal::from_f64_retain(pnl).unwrap_or(Decimal::ZERO), return_percent: Decimal::from_f64_retain(return_percent).unwrap_or(Decimal::ZERO), entry_signal: "signal_entry".to_string(), exit_signal: "signal_exit".to_string(), } } /// Test saving backtest results #[tokio::test] async fn test_save_backtest_results() -> Result<()> { let trading_repo = MockTradingRepository::new(); let trades = vec![ create_trade(1, "AAPL", 150.0, 155.0, 100.0, 0), create_trade(2, "AAPL", 155.0, 160.0, 100.0, 1), ]; let config = BacktestingPerformanceConfig::default(); let analyzer = PerformanceAnalyzer::new(&config)?; let metrics = analyzer.calculate_metrics(&trades, 100000.0); trading_repo .save_backtest_results("backtest_001", &trades, &metrics) .await?; // Verify saved let (loaded_trades, loaded_metrics) = trading_repo .load_backtest_results("backtest_001") .await?; assert_eq!(loaded_trades.len(), 2); assert_eq!(loaded_metrics.total_trades, 2); Ok(()) } /// Test loading backtest results #[tokio::test] async fn test_load_backtest_results() -> Result<()> { let trading_repo = MockTradingRepository::new(); let trades = vec![ create_trade(1, "MSFT", 200.0, 210.0, 50.0, 0), create_trade(2, "MSFT", 210.0, 205.0, 50.0, 1), ]; let config = BacktestingPerformanceConfig::default(); let analyzer = PerformanceAnalyzer::new(&config)?; let metrics = analyzer.calculate_metrics(&trades, 50000.0); // Save trading_repo .save_backtest_results("backtest_002", &trades, &metrics) .await?; // Load let (loaded_trades, loaded_metrics) = trading_repo .load_backtest_results("backtest_002") .await?; assert_eq!(loaded_trades.len(), 2); assert_eq!(loaded_trades[0].symbol, "MSFT"); assert!((loaded_metrics.total_return - metrics.total_return).abs() < 0.01); Ok(()) } /// Test creating backtest record #[tokio::test] async fn test_create_backtest_record() -> Result<()> { let trading_repo = MockTradingRepository::new(); let start_date = Utc::now() - Duration::days(30); let end_date = Utc::now(); let symbols = vec!["AAPL".to_string(), "MSFT".to_string()]; let parameters = HashMap::new(); trading_repo .create_backtest_record( "backtest_003", "buy_and_hold", &symbols, start_date, end_date, 100000.0, ¶meters, "Test backtest", ) .await?; // Verify record created let backtests = trading_repo .list_backtests(10, 0, None, None) .await?; assert_eq!(backtests.len(), 1); assert_eq!(backtests[0].backtest_id, "backtest_003"); assert_eq!(backtests[0].strategy_name, "buy_and_hold"); assert_eq!(backtests[0].symbols.len(), 2); Ok(()) } /// Test updating backtest status #[tokio::test] async fn test_update_backtest_status() -> Result<()> { let trading_repo = MockTradingRepository::new(); // Create record let start_date = Utc::now() - Duration::days(10); let end_date = Utc::now(); trading_repo .create_backtest_record( "backtest_004", "ma_crossover", &["AAPL".to_string()], start_date, end_date, 50000.0, &HashMap::new(), "Test status update", ) .await?; // Update status to running trading_repo .update_backtest_status("backtest_004", BacktestStatus::Running, None) .await?; // Update status to completed trading_repo .update_backtest_status("backtest_004", BacktestStatus::Completed, None) .await?; // Verify status let backtests = trading_repo .list_backtests(10, 0, None, Some(BacktestStatus::Completed)) .await?; assert_eq!(backtests.len(), 1); assert_eq!(backtests[0].status, BacktestStatus::Completed); Ok(()) } /// Test listing backtests with filters #[tokio::test] async fn test_list_backtests_with_filters() -> Result<()> { let trading_repo = MockTradingRepository::new(); let start_date = Utc::now() - Duration::days(10); let end_date = Utc::now(); // Create multiple backtests for i in 0..5 { let strategy = if i % 2 == 0 { "buy_and_hold" } else { "ma_crossover" }; trading_repo .create_backtest_record( &format!("backtest_{:03}", i), strategy, &["AAPL".to_string()], start_date, end_date, 100000.0, &HashMap::new(), &format!("Test backtest {}", i), ) .await?; } // List all let all = trading_repo.list_backtests(10, 0, None, None).await?; assert_eq!(all.len(), 5); // Filter by strategy let buy_hold = trading_repo .list_backtests(10, 0, Some("buy_and_hold".to_string()), None) .await?; assert_eq!(buy_hold.len(), 3); let ma_cross = trading_repo .list_backtests(10, 0, Some("ma_crossover".to_string()), None) .await?; assert_eq!(ma_cross.len(), 2); Ok(()) } /// Test pagination #[tokio::test] async fn test_backtest_list_pagination() -> Result<()> { let trading_repo = MockTradingRepository::new(); let start_date = Utc::now() - Duration::days(10); let end_date = Utc::now(); // Create 10 backtests for i in 0..10 { trading_repo .create_backtest_record( &format!("backtest_{:03}", i), "buy_and_hold", &["AAPL".to_string()], start_date, end_date, 100000.0, &HashMap::new(), &format!("Test {}", i), ) .await?; } // Get first page (5 items) let page1 = trading_repo.list_backtests(5, 0, None, None).await?; assert_eq!(page1.len(), 5); // Get second page (5 items) let page2 = trading_repo.list_backtests(5, 5, None, None).await?; assert_eq!(page2.len(), 5); // Verify no overlap assert_ne!(page1[0].backtest_id, page2[0].backtest_id); Ok(()) } /// Test performance metrics aggregation #[tokio::test] async fn test_metrics_aggregation() -> Result<()> { let config = BacktestingPerformanceConfig::default(); let analyzer = PerformanceAnalyzer::new(&config)?; let trades = vec![ create_trade(1, "AAPL", 100.0, 110.0, 100.0, 0), // +$1000 create_trade(2, "MSFT", 200.0, 210.0, 50.0, 1), // +$500 create_trade(3, "GOOGL", 120.0, 115.0, 80.0, 2), // -$400 ]; let metrics = analyzer.calculate_metrics(&trades, 100000.0); // Verify aggregated metrics assert_eq!(metrics.total_trades, 3); assert_eq!(metrics.winning_trades, 2); assert_eq!(metrics.losing_trades, 1); assert!((metrics.total_return - 1.1).abs() < 0.1); // ~$1100 profit on $100k Ok(()) } /// Test drawdown period identification #[tokio::test] async fn test_drawdown_period_identification() -> Result<()> { let config = BacktestingPerformanceConfig::default(); let analyzer = PerformanceAnalyzer::new(&config)?; // Create equity curve with known drawdown let trades = vec![ create_trade(1, "AAPL", 100.0, 120.0, 100.0, 0), // Peak create_trade(2, "AAPL", 120.0, 110.0, 100.0, 1), // Drawdown create_trade(3, "AAPL", 110.0, 90.0, 100.0, 2), // Trough create_trade(4, "AAPL", 90.0, 115.0, 100.0, 3), // Recovery ]; let equity_curve = analyzer.generate_equity_curve(&trades, 100000.0); let drawdown_periods = analyzer.identify_drawdown_periods(&equity_curve); assert!(!drawdown_periods.is_empty(), "Should identify drawdown periods"); if let Some(first_dd) = drawdown_periods.first() { assert!(first_dd.drawdown_percent > 0.0); assert!(first_dd.peak_value > first_dd.trough_value); } Ok(()) } /// Test time series data storage #[tokio::test] async fn test_time_series_storage() -> Result<()> { let trading_repo = MockTradingRepository::new(); let timestamp = Utc::now(); // Store multiple time series points for i in 0..10 { let ts = timestamp + Duration::hours(i); let equity = 100000.0 + (i as f64 * 1000.0); let drawdown = if i > 5 { 0.05 } else { 0.0 }; trading_repo .store_time_series_data("backtest_005", ts, equity, drawdown) .await?; } // Mock repository doesn't retrieve time series, but this tests the interface Ok(()) } /// Test result export for different formats #[tokio::test] async fn test_result_export_formats() -> Result<()> { let trading_repo = MockTradingRepository::new(); let trades = vec![ create_trade(1, "AAPL", 150.0, 160.0, 100.0, 0), create_trade(2, "AAPL", 160.0, 155.0, 100.0, 1), ]; let config = BacktestingPerformanceConfig::default(); let analyzer = PerformanceAnalyzer::new(&config)?; let metrics = analyzer.calculate_metrics(&trades, 100000.0); // Save in standard format trading_repo .save_backtest_results("export_test", &trades, &metrics) .await?; // Load and verify can be serialized let (loaded_trades, loaded_metrics) = trading_repo .load_backtest_results("export_test") .await?; // Should be serializable to JSON let _trades_json = serde_json::to_string(&loaded_trades)?; let _metrics_json = serde_json::to_string(&loaded_metrics)?; Ok(()) } /// Test comprehensive report generation #[tokio::test] async fn test_comprehensive_report() -> Result<()> { let config = BacktestingPerformanceConfig::default(); let analyzer = PerformanceAnalyzer::new(&config)?; let trades = vec![ create_trade(1, "AAPL", 150.0, 165.0, 100.0, 0), create_trade(2, "MSFT", 200.0, 220.0, 50.0, 5), create_trade(3, "GOOGL", 120.0, 115.0, 80.0, 10), create_trade(4, "AAPL", 165.0, 175.0, 100.0, 15), create_trade(5, "MSFT", 220.0, 210.0, 50.0, 20), ]; let initial_capital = 100000.0; let metrics = analyzer.calculate_metrics(&trades, initial_capital); // Generate all report components let equity_curve = analyzer.generate_equity_curve(&trades, initial_capital); let drawdown_periods = analyzer.identify_drawdown_periods(&equity_curve); let rolling_metrics = analyzer.calculate_rolling_metrics(&trades, 7); // Verify comprehensive report data assert_eq!(metrics.total_trades, 5); assert!(!equity_curve.is_empty()); assert!(!rolling_metrics.rolling_sharpe.is_empty()); // All components should be present assert!(metrics.sharpe_ratio != 0.0 || metrics.total_trades > 0); assert!(metrics.max_drawdown >= 0.0); Ok(()) } /// Test empty results handling #[tokio::test] async fn test_empty_results() -> Result<()> { let trading_repo = MockTradingRepository::new(); let trades: Vec = vec![]; let config = BacktestingPerformanceConfig::default(); let analyzer = PerformanceAnalyzer::new(&config)?; let metrics = analyzer.calculate_metrics(&trades, 100000.0); trading_repo .save_backtest_results("empty_test", &trades, &metrics) .await?; let (loaded_trades, loaded_metrics) = trading_repo .load_backtest_results("empty_test") .await?; assert_eq!(loaded_trades.len(), 0); assert_eq!(loaded_metrics.total_trades, 0); Ok(()) } /// Test concurrent report generation #[tokio::test] async fn test_concurrent_report_generation() -> Result<()> { let trading_repo = Arc::new(MockTradingRepository::new()); let config = BacktestingPerformanceConfig::default(); let analyzer = Arc::new(PerformanceAnalyzer::new(&config)?); let mut handles = Vec::new(); for i in 0..5 { let repo_clone = trading_repo.clone(); let analyzer_clone = analyzer.clone(); let handle = tokio::spawn(async move { let trades = vec![ create_trade(1, "AAPL", 150.0, 155.0, 100.0, 0), create_trade(2, "AAPL", 155.0, 160.0, 100.0, 1), ]; let metrics = analyzer_clone.calculate_metrics(&trades, 100000.0); repo_clone .save_backtest_results(&format!("concurrent_{}", i), &trades, &metrics) .await }); handles.push(handle); } // Wait for all concurrent operations for handle in handles { handle.await??; } // Verify all saved let all = trading_repo.list_backtests(100, 0, None, None).await?; assert!(all.len() >= 5, "All concurrent reports should be saved"); Ok(()) }