"""
Error Optimization Strategy Implementation for AGOR.

This module provides comprehensive error handling and debugging workflows,
enabling systematic error detection, resolution, and prevention processes.
"""

from datetime import datetime
from pathlib import Path


def optimize_error_handling(
    project_name: str = "Current Project",
    error_focus: str = "comprehensive",
    debug_level: str = "medium",
) -> str:
    """Optimize error handling and debugging workflows (eh hotkey)."""

    # Create implementation details
    implementation_details = f"""
## ERROR OPTIMIZATION IMPLEMENTATION

### Project: {project_name}
### Error Focus: {error_focus}
### Debug Level: {debug_level}
### Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}

## ERROR DETECTION FRAMEWORK

{_generate_error_detection_framework(error_focus)}

## DEBUGGING WORKFLOWS

{_generate_debugging_workflows(debug_level)}

## ERROR PREVENTION STRATEGIES

{_generate_error_prevention_strategies()}

## ERROR RECOVERY PROTOCOLS

{_generate_error_recovery_protocols()}

## NEXT STEPS

1. **Setup Error Monitoring**: Configure error detection and logging
2. **Establish Debug Procedures**: Create systematic debugging workflows
3. **Train Team**: Ensure all agents understand error handling protocols
4. **Begin Monitoring**: Start error tracking and optimization
5. **Continuous Improvement**: Regular review and optimization of error handling
"""

    # Create .agor directory
    agor_dir = Path(".agor")
    agor_dir.mkdir(exist_ok=True)

    # Save to error optimization file
    error_file = agor_dir / "error-optimization.md"
    error_file.write_text(implementation_details)

    # Create error tracking files
    _create_error_tracking_files(project_name, error_focus)

    return f"""✅ Error Optimization Established

**Project**: {project_name}
**Error Focus**: {error_focus}
**Debug Level**: {debug_level}

**Error Optimization Features**:
- Comprehensive error detection framework
- Systematic debugging workflows
- Error prevention strategies
- Recovery protocols and procedures

**Files Created**:
- `.agor/error-optimization.md` - Complete error handling plan
- `.agor/error-tracking.md` - Error monitoring dashboard
- `.agor/debug-procedures.md` - Debugging workflow guides

**Next Steps**:
1. Configure error monitoring and logging
2. Establish debugging procedures
3. Train team on error handling protocols
4. Begin systematic error optimization

**Ready for comprehensive error management!**
"""


def _generate_error_detection_framework(error_focus: str) -> str:
    """Generate error detection framework."""
    return """
### Error Classification System
- **P0 - Critical**: System down, data loss, security breach
- **P1 - High**: Major functionality broken, performance degraded
- **P2 - Medium**: Minor functionality issues, usability problems
- **P3 - Low**: Cosmetic issues, enhancement requests

### Error Detection Methods
- **Automated Monitoring**: System health checks and alerts
- **User Reports**: Bug reports and feedback
- **Code Analysis**: Static analysis and code reviews
- **Testing**: Unit, integration, and system testing

### Error Tracking Protocol
```
ERROR_DETECTED: [timestamp] - [priority] - [component] - [description]
ERROR_ASSIGNED: [timestamp] - [agent] - [error-id] - [estimated-fix-time]
ERROR_RESOLVED: [timestamp] - [agent] - [error-id] - [resolution-summary]
```
"""


def _generate_debugging_workflows(debug_level: str) -> str:
    """Generate debugging workflows."""
    return """
### Standard Debugging Process
1. **Error Reproduction**: Consistently reproduce the error
2. **Root Cause Analysis**: Identify the underlying cause
3. **Solution Design**: Plan the fix approach
4. **Implementation**: Implement and test the fix
5. **Validation**: Verify the fix resolves the issue
6. **Documentation**: Document the solution for future reference

### Debugging Tools and Techniques
- **Logging**: Comprehensive logging for error tracking
- **Debugging Tools**: IDE debuggers, profilers, monitoring tools
- **Testing**: Unit tests, integration tests, manual testing
- **Code Review**: Peer review of fixes and solutions
"""


def _generate_error_prevention_strategies() -> str:
    """Generate error prevention strategies."""
    return """
### Prevention Strategies
- **Code Quality**: High coding standards and reviews
- **Testing**: Comprehensive test coverage
- **Documentation**: Clear documentation and examples
- **Training**: Team training on best practices

### Proactive Measures
- **Regular Audits**: Periodic code and system audits
- **Performance Monitoring**: Continuous performance tracking
- **Security Reviews**: Regular security assessments
- **User Feedback**: Continuous user feedback collection
"""


def _generate_error_recovery_protocols() -> str:
    """Generate error recovery protocols."""
    return """
### Recovery Procedures
1. **Immediate Response**: Stop error propagation
2. **System Stabilization**: Restore system to working state
3. **Data Recovery**: Recover any lost or corrupted data
4. **Service Restoration**: Resume normal operations
5. **Post-Incident Review**: Analyze and learn from the incident

### Escalation Procedures
- **Level 1**: Agent attempts resolution (30 minutes)
- **Level 2**: Team lead involvement (1 hour)
- **Level 3**: Senior developer escalation (2 hours)
- **Level 4**: Management and external help (4 hours)
"""


def _create_error_tracking_files(project_name: str, error_focus: str):
    """Create error tracking coordination files."""

    # Create error tracking file
    tracking_file = Path(".agor") / "error-tracking.md"
    tracking_content = f"""
# Error Tracking Dashboard

## Project: {project_name}
## Error Focus: {error_focus}
## Last Updated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}

## Active Errors

### Critical (P0)
- [No critical errors currently]

### High Priority (P1)
- [No high priority errors currently]

### Medium Priority (P2)
- [No medium priority errors currently]

### Low Priority (P3)
- [No low priority errors currently]

## Error Statistics

### Current Period
- **Total Errors**: 0
- **Resolved Errors**: 0
- **Average Resolution Time**: [To be calculated]
- **Error Rate**: [To be calculated]

## Recent Error Activity

### Today ({datetime.now().strftime('%Y-%m-%d')})
- Error tracking system initialized
- No errors reported yet

## Error Trends
- [Error trends will be tracked here]
"""
    tracking_file.write_text(tracking_content)

    # Create debug procedures file
    debug_file = Path(".agor") / "debug-procedures.md"
    debug_content = f"""
# Debug Procedures Guide

## Project: {project_name}
## Last Updated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}

## Standard Debugging Workflow

### Step 1: Error Reproduction
- [ ] Identify steps to reproduce the error
- [ ] Document environment and conditions
- [ ] Verify error occurs consistently
- [ ] Gather relevant logs and data

### Step 2: Root Cause Analysis
- [ ] Analyze error logs and stack traces
- [ ] Review recent code changes
- [ ] Check system resources and dependencies
- [ ] Identify the root cause

### Step 3: Solution Design
- [ ] Plan the fix approach
- [ ] Consider impact on other components
- [ ] Design tests to verify the fix
- [ ] Review solution with team if needed

### Step 4: Implementation
- [ ] Implement the fix
- [ ] Add or update tests
- [ ] Test the fix thoroughly
- [ ] Code review if required

### Step 5: Validation
- [ ] Verify the fix resolves the issue
- [ ] Run regression tests
- [ ] Test in staging environment
- [ ] Get stakeholder approval if needed

### Step 6: Documentation
- [ ] Document the solution
- [ ] Update relevant documentation
- [ ] Share learnings with team
- [ ] Update error prevention measures

## Debugging Tools

### Available Tools
- [List of debugging tools available]
- [IDE debuggers and extensions]
- [Monitoring and logging tools]
- [Testing frameworks and tools]

### Tool Usage Guidelines
- [Guidelines for using debugging tools]
- [Best practices for debugging]
- [Common debugging scenarios]
"""
    debug_file.write_text(debug_content)
