Foxhunt HFT Trading System

Data Module Test Coverage Report

Generated: 2025-09-24

Coverage Summary

Total Files: 21
Files with Tests: 17
Files without Tests: 4
Total Test Functions: 46
File Coverage: 81.0%

Detailed File Analysis

High Coverage Files

data/src/providers/common.rs - 6 tests, 12 functions (~50% coverage)

Excellent coverage for provider common functionality including authentication, rate limiting, and error handling.

data/src/config.rs - 4 tests, 18 functions (~22% coverage)

Good coverage for configuration loading, validation, and environment overrides.

Medium Coverage Files

data/src/providers/benzinga.rs - 3 tests, 17 functions (~18% coverage)

Tests cover basic provider functionality, message serialization, and connection handling.

data/src/providers/databento.rs - 2 tests, 16 functions (~13% coverage)

Basic tests for Databento provider creation and configuration.

data/src/providers/databento_streaming.rs - 2 tests, 18 functions (~11% coverage)

Tests for streaming provider creation and message serialization.

data/src/providers/traits.rs - 3 tests, 28 functions (~11% coverage)

Tests for trait implementations and provider interfaces.

data/src/features.rs - 3 tests, 28 functions (~11% coverage)

Tests for feature extraction and technical indicators.

data/src/types.rs - 3 tests, 24 functions (~13% coverage)

Tests for data types, serialization, and validation.

Low Coverage Files

data/src/utils.rs - 5 tests, 59 functions (~8% coverage)

⚠️ Gap: Large utility module with many uncovered helper functions for data processing, validation, and formatting.

data/src/lib.rs - 1 test, 12 functions (~8% coverage)

⚠️ Gap: Main library module needs more comprehensive integration tests.

data/src/providers/mod.rs - 2 tests, 28 functions (~7% coverage)

⚠️ Gap: Provider module coordination and management functions need testing.

data/src/brokers/interactive_brokers.rs - 3 tests, 45 functions (~7% coverage)

⚠️ Gap: Interactive Brokers integration has extensive functionality that needs more test coverage.

data/src/unified_feature_extractor.rs - 2 tests, 35 functions (~6% coverage)

⚠️ Gap: Complex feature extraction logic needs comprehensive testing.

data/src/training_pipeline.rs - 1 test, 22 functions (~5% coverage)

⚠️ Gap: ML training pipeline has minimal test coverage for critical functionality.

data/src/error.rs - 3 tests, 15 functions (~20% coverage)

Error handling and conversion tests.

data/src/brokers/common.rs - 2 tests, 18 functions (~11% coverage)

Common broker functionality tests.

data/src/validation.rs - 1 test, 14 functions (~7% coverage)

⚠️ Gap: Data validation logic needs more comprehensive testing.

Files Without Tests (0% coverage)

data/src/storage.rs - 0 tests

🚨 Critical Gap: Database storage operations have no test coverage - this is critical for data integrity.

data/src/parquet_persistence.rs - 0 tests

🚨 Critical Gap: Parquet file persistence has no tests - data corruption risks.

data/src/brokers/examples.rs - 0 tests

Example code - tests not necessarily required but recommended.

data/src/brokers/mod.rs - 0 tests

Module file - may only contain re-exports.

Critical Coverage Gaps

File Risk Level Issue Recommendation
storage.rs 🚨 Critical No tests for database operations Add comprehensive tests for CRUD operations, transaction handling, and error scenarios
parquet_persistence.rs 🚨 Critical No tests for file persistence Add tests for file I/O, compression, and data integrity
utils.rs ⚠️ High 8% coverage, 59 functions Add tests for data processing utilities and helper functions
unified_feature_extractor.rs ⚠️ High 6% coverage, complex ML logic Add tests for feature extraction algorithms and edge cases
training_pipeline.rs ⚠️ High 5% coverage, ML pipeline Add tests for training workflow and model validation

Recommendations to Achieve 95% Coverage

  1. Immediate Priority: Add tests for storage.rs and parquet_persistence.rs (critical for data integrity)
  2. High Priority: Increase coverage for utils.rs, unified_feature_extractor.rs, and training_pipeline.rs
  3. Medium Priority: Add more comprehensive tests for provider modules
  4. Integration Tests: Add end-to-end tests for complete data workflows
  5. Performance Tests: Add benchmarks for critical path operations
  6. Error Scenario Tests: Add comprehensive error handling tests

Estimated Coverage Improvement

Current estimated functional coverage: ~15-20%

To reach 95% coverage, approximately 150-200 additional test functions needed.

Next Steps