[loop-generated] [reliability] Consolidate error handling patterns — improve system resilience #1432

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opened 2026-03-24 13:06:15 +00:00 by Timmy · 1 comment
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Overview

Analysis of the codebase shows inconsistent error handling patterns across modules. Different components handle similar error conditions in different ways, reducing system reliability and making debugging difficult.

Current Error Handling Issues

  • Inconsistent exception types for similar failures
  • Missing error context and recovery strategies
  • No centralized error classification system
  • Poor error propagation and logging consistency
  • Limited error recovery mechanisms

Consolidation Opportunities

  1. Unified Error Classes: Create domain-specific exception hierarchies
  2. Error Context: Add structured error context with recovery hints
  3. Centralized Logging: Standardize error logging with correlation IDs
  4. Recovery Strategies: Implement automatic recovery for common failures
  5. Error Metrics: Add error rate monitoring and alerting

Expected Benefits

  • Debugging Speed: 50% faster error diagnosis with structured context
  • System Reliability: Automated recovery from 80% of transient failures
  • Monitoring: Real-time error classification and alerting
  • Developer Experience: Consistent error patterns across codebase

Implementation Strategy

  1. Audit existing error patterns across modules
  2. Design unified error hierarchy with context
  3. Implement centralized error handling utilities
  4. Migrate modules to new error patterns
  5. Add error monitoring and recovery automation

Acceptance Criteria

  • Unified error hierarchy implemented and documented
  • All critical paths use structured error handling
  • Error recovery strategies implemented for common failures
  • Error monitoring and metrics added
  • Comprehensive error handling documentation

Files to Analyze & Update

  • src/infrastructure/error_capture.py (314 lines - centralize here)
  • Error handling patterns across all major modules
  • Add error recovery utilities and monitoring hooks
## Overview Analysis of the codebase shows inconsistent error handling patterns across modules. Different components handle similar error conditions in different ways, reducing system reliability and making debugging difficult. ## Current Error Handling Issues - Inconsistent exception types for similar failures - Missing error context and recovery strategies - No centralized error classification system - Poor error propagation and logging consistency - Limited error recovery mechanisms ## Consolidation Opportunities 1. **Unified Error Classes**: Create domain-specific exception hierarchies 2. **Error Context**: Add structured error context with recovery hints 3. **Centralized Logging**: Standardize error logging with correlation IDs 4. **Recovery Strategies**: Implement automatic recovery for common failures 5. **Error Metrics**: Add error rate monitoring and alerting ## Expected Benefits - **Debugging Speed**: 50% faster error diagnosis with structured context - **System Reliability**: Automated recovery from 80% of transient failures - **Monitoring**: Real-time error classification and alerting - **Developer Experience**: Consistent error patterns across codebase ## Implementation Strategy 1. Audit existing error patterns across modules 2. Design unified error hierarchy with context 3. Implement centralized error handling utilities 4. Migrate modules to new error patterns 5. Add error monitoring and recovery automation ## Acceptance Criteria - [ ] Unified error hierarchy implemented and documented - [ ] All critical paths use structured error handling - [ ] Error recovery strategies implemented for common failures - [ ] Error monitoring and metrics added - [ ] Comprehensive error handling documentation ## Files to Analyze & Update - `src/infrastructure/error_capture.py` (314 lines - centralize here) - Error handling patterns across all major modules - Add error recovery utilities and monitoring hooks
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Owner

Implementation Instructions for Kimi

This is a reliability improvement task to consolidate error handling patterns. Please:

Analysis Phase

  1. Audit current error handling across key modules (src/timmy/, src/infrastructure/, src/dashboard/)
  2. Identify inconsistent patterns - different ways similar errors are handled
  3. Document current approaches - try/catch patterns, error logging, user feedback

Implementation Phase

  1. Create centralized error handling utilities in src/infrastructure/error_handling/
    • Common exception classes
    • Standardized logging formats
    • User-facing error message utilities
  2. Refactor 3-5 key modules to use the new centralized approach
  3. Add comprehensive tests for error scenarios

Verification

  1. Test error scenarios to ensure consistent behavior
  2. Verify no regressions in existing functionality

Focus on improving system reliability without breaking existing functionality.

## Implementation Instructions for Kimi This is a reliability improvement task to consolidate error handling patterns. Please: ### Analysis Phase 1. **Audit current error handling** across key modules (src/timmy/, src/infrastructure/, src/dashboard/) 2. **Identify inconsistent patterns** - different ways similar errors are handled 3. **Document current approaches** - try/catch patterns, error logging, user feedback ### Implementation Phase 4. **Create centralized error handling utilities** in `src/infrastructure/error_handling/` - Common exception classes - Standardized logging formats - User-facing error message utilities 5. **Refactor 3-5 key modules** to use the new centralized approach 6. **Add comprehensive tests** for error scenarios ### Verification 7. **Test error scenarios** to ensure consistent behavior 8. **Verify no regressions** in existing functionality Focus on improving system reliability without breaking existing functionality.
kimi was assigned by Timmy 2026-03-24 13:16:53 +00:00
kimi was unassigned by Timmy 2026-03-24 19:32:11 +00:00
Timmy closed this issue 2026-03-24 21:54:03 +00:00
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Reference: Rockachopa/Timmy-time-dashboard#1432