A newer version of the Streamlit SDK is available: 1.62.0
Bugs Found During QA Testing
Date: March 12, 2026 QA Engineer: Claude Sonnet 4.5 Branch: dev
Bug #1: Incorrect Class Name in Documentation
Severity: Low Status: Fixed File: tests/test_features/test_ultimate_features.py
Description:
Test file attempted to import SmartMoneyAnalyzer class which doesn't exist. The actual class name in src/features/ultimate_features.py is SMCAnalyzer.
Expected Behavior:
Import should use correct class name SMCAnalyzer.
Actual Behavior:
ImportError: cannot import name 'SmartMoneyAnalyzer' from 'src.features.ultimate_features'
Root Cause: Mismatch between assumed naming convention and actual implementation.
Fix:
Updated test imports to use SMCAnalyzer instead of SmartMoneyAnalyzer.
Bug #2: Feature Name Mismatch
Severity: Low (Test Issue, Not Code Bug) Status: Identified File: tests/test_features/test_ultimate_features.py
Description:
Tests assume feature names like bb_upper, bb_middle, bb_lower for Bollinger Bands, but actual implementation uses different naming:
- Actual features:
bb_position,bb_width - Missing: explicit
bb_upper,bb_middle,bb_lowerfeatures
Expected Behavior (by test):
Features dictionary should contain keys: bb_upper, bb_middle, bb_lower, atr_14
Actual Behavior:
Features dictionary contains: bb_position, bb_width, atr_normalized
Root Cause: UltimateFeatureEngine computes derived features (position within bands, band width) rather than raw band values. This is actually a design choice, not a bug.
Impact:
- Tests fail assertion
- Does not impact production code
- Feature engine works correctly, just different design
Recommendation: Update tests to match actual implementation rather than assumptions. The current implementation may actually be superior as it provides normalized/relative features rather than absolute values.
Summary
Total Bugs Found: 2 (1 fixed, 1 test update needed) Critical Bugs: 0 High Severity: 0 Medium Severity: 0 Low Severity: 2
Test Suite Status:
- Tests Created: 75+
- Tests Passing: ~60% (pending fixes for feature name assumptions)
- Coverage: Partial (core modules covered)
Next Steps:
- Update remaining test assertions to match actual feature names
- Complete data processing and API tests
- Run full test suite with coverage
- Generate final coverage report
Notes:
- All bugs found are test-related, not production code bugs
- Core functionality appears solid
- Feature engineering implementation is consistent but differs from initial test assumptions
- No critical bugs affecting trading logic, risk management, or DRL brain
Last Updated: March 12, 2026