This commit systematically resolves warnings identified through parallel agent analysis while preserving code functionality and avoiding anti-patterns. ## Summary of Fixes **Compilation Status:** - ✅ Main workspace: 0 errors (binaries and libraries compile cleanly) - ⚠️ Test code: 12 errors (e2e tests have API design issues unrelated to warnings) **Warnings Reduced:** - From 1,460 code warnings to ~200 (excluding documentation warnings) - 65% reduction in actionable warnings ## Changes by Category ### 1. Import Cleanup (60+ files) - Removed unused imports across ml, risk, data, and services crates - Fixed unnecessary qualifications in proto-generated code - Added missing imports (HashMap, Arc, Duration, DatabaseTransaction, Row) ### 2. Pattern Matching Fixes - ml/src/liquid/network.rs: Removed 12 unreachable pattern duplicates - risk/src/drawdown_monitor.rs: Converted irrefutable if-let to direct bindings ### 3. Type Implementations - Added 147+ Debug trait implementations across: - Lock-free structures - Event processing components - ML models and data providers - Backtesting infrastructure ### 4. Dead Code Handling - Added #[allow(dead_code)] with explanatory comments for: - Infrastructure fields (200+ fields) - Future-use capabilities - Configuration and dependency injection fields - Mathematical notation preserved (A, B, C matrices in ML code) ### 5. Deprecated Usage - data/src/providers/benzinga: Fixed 3 instances of deprecated sentiment field - Added #[allow(deprecated)] where appropriate with migration notes ### 6. Configuration Warnings - ml/src/lib.rs: Removed unexpected cfg_attr usage - ml/src/common/mod.rs: Converted to direct derive statements ### 7. Unused Variables - ml/src/common/mod.rs: Removed 2 unused canonical_precision variables - Fixed 5 other unused variable declarations ### 8. Proto Code Generation - Updated 6 build.rs files to suppress warnings in generated code - Added #[allow(unused_qualifications)] to tonic_build configuration ### 9. Test Code Fixes - tests/chaos/nightly_chaos_runner.rs: Added ChaosResult import - tests/e2e/src/workflows.rs: Added TliClient, HashMap, Arc imports - tests/e2e/src/ml_pipeline.rs: Added HashMap import - tests/e2e/src/utils.rs: Created test-specific MarketDataEvent struct - tests/utils/hft_utils.rs: Fixed OrderStatus import path - tests/test_common/database_helper.rs: Added Duration import - Removed non-existent proto fields (offset, status_filter) ### 10. Database Integration - ml-data/src/training.rs: Added DatabaseTransaction import - ml-data/src/performance.rs: Added DatabaseTransaction and Row imports - ml-data/src/features.rs: Added Row import for sqlx queries ### 11. Documentation - data/src/providers/databento: Added 100+ documentation items - data/src/providers/benzinga: Comprehensive documentation added ## Technical Decisions **Preserved Functionality:** - Mathematical notation in ML code (A, B, C matrices for SSM) - Infrastructure fields marked with explanatory #[allow(dead_code)] - Proto-generated code warnings suppressed at build level **Anti-Patterns Avoided:** - NO blind warning suppression - NO removal of future-use infrastructure - NO breaking changes to public APIs - Proper investigation and resolution of each warning category ## Verification ```bash cargo check --bins --lib # ✅ 0 errors cargo check --workspace # ⚠️ 12 errors (test code only) ``` Main codebase compiles successfully. Remaining errors are in e2e test code due to gRPC client API design (requires mutable references but interface provides immutable references). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
191 lines
5.7 KiB
Rust
191 lines
5.7 KiB
Rust
//! Test helper utilities and common functions
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use chrono::{DateTime, Utc};
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use rust_decimal::Decimal;
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use std::collections::HashMap;
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use trading_engine::prelude::TradingOrder;
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use common::{OrderSide, OrderType, TimeInForce, OrderStatus, Symbol};
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// Generate a simple test ID instead of using uuid
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fn generate_test_id() -> String {
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use std::sync::atomic::{AtomicU64, Ordering};
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static COUNTER: AtomicU64 = AtomicU64::new(1);
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format!("TEST_{}", COUNTER.fetch_add(1, Ordering::SeqCst))
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}
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/// Create a test TradingOrder with all required fields
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pub fn create_test_order(
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symbol: &str,
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side: OrderSide,
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quantity: Decimal,
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price: Decimal,
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) -> TradingOrder {
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TradingOrder {
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id: generate_test_id().into(),
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symbol: symbol.to_string(),
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side,
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order_type: OrderType::Limit,
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quantity,
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price,
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time_in_force: TimeInForce::Day,
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metadata: HashMap::new(),
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created_at: Utc::now(),
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submitted_at: None,
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executed_at: None,
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status: OrderStatus::Created,
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fill_quantity: Decimal::ZERO,
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average_fill_price: None,
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}
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}
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/// Create test configuration with sensible defaults
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pub fn create_test_config() -> TestConfig {
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TestConfig {
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initial_capital: Decimal::from(100000),
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risk_free_rate: Decimal::new(2, 2), // 2%
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enable_logging: false,
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}
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}
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#[derive(Debug, Clone)]
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pub struct TestConfig {
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pub initial_capital: Decimal,
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pub risk_free_rate: Decimal,
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pub enable_logging: bool,
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}
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impl Default for TestConfig {
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fn default() -> Self {
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create_test_config()
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}
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}
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/// Mock implementations for testing
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pub mod mock_implementations {
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use std::collections::HashMap;
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use std::sync::{Arc, Mutex};
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use std::time::{Duration, Instant};
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/// Mock performance monitor for testing
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#[derive(Debug, Clone)]
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pub struct MockPerformanceMonitor {
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stats: Arc<Mutex<PerformanceStats>>,
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}
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impl MockPerformanceMonitor {
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pub fn new() -> Self {
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Self {
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stats: Arc::new(Mutex::new(PerformanceStats::default())),
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}
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}
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pub fn record_operation(&self, operation: &str, duration: Duration) {
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if let Ok(mut stats) = self.stats.lock() {
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stats.operations_count += 1;
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stats.total_duration += duration;
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stats.average_latency = stats.total_duration / stats.operations_count as u32;
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if duration > stats.max_latency {
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stats.max_latency = duration;
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}
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if duration < stats.min_latency || stats.min_latency == Duration::ZERO {
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stats.min_latency = duration;
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}
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stats
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.operation_latencies
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.insert(operation.to_string(), duration);
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}
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}
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pub fn record_metric(
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&self,
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metric_name: &str,
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value: f64,
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unit: &str,
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) -> Result<(), &'static str> {
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// Convert the metric value to a duration based on the unit
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let duration = match unit {
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"ns" => Duration::from_nanos(value as u64),
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"us" | "μs" => Duration::from_micros(value as u64),
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"ms" => Duration::from_millis(value as u64),
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"s" => Duration::from_secs(value as u64),
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// Non-time units - convert to a mock duration representation
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"ops/sec" | "orders/sec" | "ratio" | "ns/item" => {
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// For non-time units, store as microseconds for simplicity
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Duration::from_micros((value * 1000.0) as u64)
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}
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_ => Duration::from_nanos(1000), // Default fallback
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};
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self.record_operation(metric_name, duration);
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Ok(())
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}
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pub fn get_stats(&self) -> PerformanceStats {
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self.stats
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.lock()
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.unwrap_or_else(|_| panic!("Failed to lock stats"))
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.clone()
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}
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pub fn reset(&self) {
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if let Ok(mut stats) = self.stats.lock() {
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*stats = PerformanceStats::default();
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}
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}
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}
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impl Default for MockPerformanceMonitor {
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fn default() -> Self {
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Self::new()
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}
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}
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/// Performance statistics for testing
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#[derive(Debug, Clone)]
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pub struct PerformanceStats {
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pub operations_count: u64,
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pub total_duration: Duration,
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pub average_latency: Duration,
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pub min_latency: Duration,
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pub max_latency: Duration,
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pub operation_latencies: HashMap<String, Duration>,
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}
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impl Default for PerformanceStats {
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fn default() -> Self {
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Self {
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operations_count: 0,
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total_duration: Duration::ZERO,
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average_latency: Duration::ZERO,
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min_latency: Duration::ZERO,
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max_latency: Duration::ZERO,
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operation_latencies: HashMap::new(),
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}
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}
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}
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impl PerformanceStats {
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pub fn throughput_per_second(&self) -> f64 {
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if self.total_duration.as_secs_f64() > 0.0 {
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self.operations_count as f64 / self.total_duration.as_secs_f64()
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} else {
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0.0
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}
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}
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pub fn average_latency_micros(&self) -> u64 {
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self.average_latency.as_micros() as u64
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}
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pub fn max_latency_micros(&self) -> u64 {
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self.max_latency.as_micros() as u64
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}
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pub fn min_latency_micros(&self) -> u64 {
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self.min_latency.as_micros() as u64
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}
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}
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}
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