- Fixed PSO budget calculation bug in ml/src/hyperopt/optimizer.rs - Root cause: Division by n_particles in sequential execution - Now correctly calculates max_iters = remaining_trials (no division) - Result: 50 trials complete instead of 23 (100% vs 46%) - Added comprehensive DQN hyperopt results analysis - 39/50 trials analyzed across 2 RunPod deployments - Best hyperparameters identified: LR 4.89e-5 (ultra-low) - Created DQN_HYPEROPT_RESULTS_SUMMARY.md with expert validation - GitLab CI/CD pipeline operational (48 lines fixed) - Fixed YAML syntax errors (unquoted colons) - All 7 jobs validated and working - Warning cleanup complete (136 → 0 warnings) - Removed 143 lines dead code - Fixed visibility, unused imports, Debug traits - Archived Wave D reports to docs/archive/ - 8 early stopping reports moved - Root directory cleaned up 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
99 lines
3.3 KiB
Rust
99 lines
3.3 KiB
Rust
// 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");
|
|
}
|