Code Quality Issue
Several methods in the monitoring system have high cyclomatic complexity and are difficult to maintain, test, and debug.
Complex Methods Identified
1. _collect_detailed_session_metrics - 130+ lines
Location: tools/prometheus_exporter.py:396-565
Issues:
- Single method doing too many things
- Nested loops and complex conditionals
- Difficult to test individual pieces
- High cognitive load for developers
2. Multiple nested database queries
Problem: Business logic embedded in SQL queries
Proposed Refactoring
1. Extract Session Metrics Calculator
Create dedicated class for session calculations with single responsibility.
2. Extract Database Query Builder
Separate SQL queries from business logic for better testability.
3. Simplify Main Collection Method
Break down complex method into focused, testable components.
4. Extract Metric Setting Logic
Create reusable metric setting utilities.
Benefits
- Better testability
- Improved maintainability
- Code reusability
- Reduced complexity
Implementation Plan
- Phase 1: Extract calculator classes (2 hours)
- Phase 2: Simplify main method (1 hour)
- Phase 3: Add tests (1 hour)
Validation Criteria
Effort: 4 hours
References
Code Quality Issue
Several methods in the monitoring system have high cyclomatic complexity and are difficult to maintain, test, and debug.
Complex Methods Identified
1.
_collect_detailed_session_metrics- 130+ linesLocation:
tools/prometheus_exporter.py:396-565Issues:
2. Multiple nested database queries
Problem: Business logic embedded in SQL queries
Proposed Refactoring
1. Extract Session Metrics Calculator
Create dedicated class for session calculations with single responsibility.
2. Extract Database Query Builder
Separate SQL queries from business logic for better testability.
3. Simplify Main Collection Method
Break down complex method into focused, testable components.
4. Extract Metric Setting Logic
Create reusable metric setting utilities.
Benefits
Implementation Plan
Validation Criteria
Effort: 4 hours
References