// ml/tests/action_loader_real_csv_test.rs // Test loading the real DQN actions CSV file use ml::backtesting::load_actions_from_csv; #[test] fn test_load_real_csv_file() { // Test loading the real CSV file with 13,552 actions let csv_path = "/tmp/dqn_actions_wave3.csv"; // Skip test if CSV file doesn't exist if !std::path::Path::new(csv_path).exists() { eprintln!("Skipping test: {} not found", csv_path); return; } let actions = load_actions_from_csv(csv_path).unwrap(); // Verify count (13,552 actions) assert_eq!(actions.len(), 13_552, "Expected 13,552 actions from CSV"); // Verify first action assert_eq!(actions[0].action, 2, "First action should be 2 (Hold)"); assert_eq!(actions[0].q_buy, -658.8440); assert_eq!(actions[0].q_sell, 355.0268); assert_eq!(actions[0].q_hold, 538.5875); assert_eq!(actions[0].open, 5914.50); assert_eq!(actions[0].high, 5914.75); assert_eq!(actions[0].low, 5914.25); assert_eq!(actions[0].close, 5914.25); assert_eq!(actions[0].volume, 27); // Verify all actions have valid bounds (0-2) for (i, action) in actions.iter().enumerate() { assert!( action.action <= 2, "Action {} at index {} exceeds bounds", action.action, i ); } // Verify all Q-values are finite for (i, action) in actions.iter().enumerate() { assert!( action.q_buy.is_finite(), "q_buy at index {} is not finite", i ); assert!( action.q_sell.is_finite(), "q_sell at index {} is not finite", i ); assert!( action.q_hold.is_finite(), "q_hold at index {} is not finite", i ); } // Verify timestamp ordering (monotonically increasing) for i in 1..actions.len() { assert!( actions[i].timestamp >= actions[i - 1].timestamp, "Timestamp ordering violation at index {}: {} < {}", i, actions[i].timestamp, actions[i - 1].timestamp ); } // Verify action distribution (sanity check) let mut buy_count = 0; let mut sell_count = 0; let mut hold_count = 0; for action in &actions { match action.action { 0 => buy_count += 1, 1 => sell_count += 1, 2 => hold_count += 1, _ => panic!("Invalid action: {}", action.action), } } // Note: Buy count might be 0 for certain datasets (DQN-specific behavior) assert_eq!( buy_count + sell_count + hold_count, 13_552, "Action counts must sum to total" ); println!("Action distribution:"); println!( " Buy: {} ({:.2}%)", buy_count, 100.0 * buy_count as f64 / actions.len() as f64 ); println!( " Sell: {} ({:.2}%)", sell_count, 100.0 * sell_count as f64 / actions.len() as f64 ); println!( " Hold: {} ({:.2}%)", hold_count, 100.0 * hold_count as f64 / actions.len() as f64 ); // Verify expected distribution for this specific CSV (no buy actions) assert_eq!(buy_count, 0, "Expected 0 buy actions for this dataset"); assert_eq!(sell_count, 7_668, "Expected 7,668 sell actions"); assert_eq!(hold_count, 5_884, "Expected 5,884 hold actions"); }