Enhanced Comprehensive Error Handling Procedures with Intelligence
Purpose
Comprehensive error handling procedures with real-time validation and research integration
Conduct error handling with validated methodologies and collaborative intelligence
Ensure error handling excellence with current system reliability standards and recovery practices
Integrate web research for current error handling frameworks and recovery patterns
Provide validated error handling strategies with cross-team coordination and continuous optimization
Enhanced Capabilities
Error Intelligence
Error Validation: Real-time error handling validation against current reliability standards
Research Integration: Current error handling best practices and recovery frameworks
Recovery Assessment: Comprehensive error recovery analysis and handling optimization
System Validation: Error handling system analysis and validation with continuous improvement
Collaborative Intelligence
Shared Context Integration: Access to all error contexts and handling requirements
Cross-Team Coordination: Seamless collaboration with reliability teams and error handling stakeholders
Quality Assurance: Professional-grade error handling with validation reports
Research Integration: Current system reliability, error handling methodologies, and recovery best practices
[[LLM: VALIDATION CHECKPOINT - All error handling procedures must be validated for effectiveness, coverage, and current reliability standards. Include research-backed error handling methodologies and recovery principles.]]
class ErrorSeverity:
"""Error severity classification"""
CRITICAL = "CRITICAL" # System cannot continue, immediate intervention required
HIGH = "HIGH" # Major functionality affected, urgent attention needed
MEDIUM = "MEDIUM" # Some functionality affected, attention needed
LOW = "LOW" # Minor issues, can be addressed during maintenance
INFO = "INFO" # Informational, no action required
class ErrorImpact:
"""Error impact assessment"""
SYSTEM_WIDE = "SYSTEM_WIDE" # Affects entire JAEGIS system
AGENT_SPECIFIC = "AGENT_SPECIFIC" # Affects specific agent only
TASK_SPECIFIC = "TASK_SPECIFIC" # Affects specific task only
USER_SPECIFIC = "USER_SPECIFIC" # Affects specific user session
RESOURCE_SPECIFIC = "RESOURCE_SPECIFIC" # Affects specific resource
class ErrorDetectionSystem:
"""Proactive error detection and monitoring"""
def __init__(self):
self.monitors = []
self.detection_rules = []
self.alert_thresholds = {}
self.monitoring_active = False
def start_monitoring(self):
"""Start comprehensive error monitoring"""
monitoring_components = [
FileSystemMonitor(),
MemoryMonitor(),
ConfigurationMonitor(),
AgentHealthMonitor(),
TaskExecutionMonitor(),
ResourceAccessMonitor()
]
for monitor in monitoring_components:
monitor.start()
self.monitors.append(monitor)
self.monitoring_active = True
log_info("Error detection system started")
def detect_potential_issues(self):
"""Detect potential issues before they become errors"""
potential_issues = []
# Check system health indicators
health_indicators = self.collect_health_indicators()
for indicator_name, indicator_value in health_indicators.items():
threshold = self.alert_thresholds.get(indicator_name)
if threshold and indicator_value > threshold:
potential_issues.append(PotentialIssue(
type="THRESHOLD_EXCEEDED",
indicator=indicator_name,
current_value=indicator_value,
threshold=threshold,
severity=self.calculate_severity(indicator_name, indicator_value)
))
return potential_issues
def predict_failure_probability(self, component_name):
"""Predict probability of component failure"""
historical_data = self.get_historical_performance(component_name)
current_metrics = self.get_current_metrics(component_name)
# Use machine learning model to predict failure probability
failure_probability = self.ml_model.predict_failure(
historical_data, current_metrics
)
return failure_probability
class ConfigurationErrorRecovery:
"""Recovery procedures for configuration errors"""
def recover_from_config_error(self, error):
"""Comprehensive configuration error recovery"""
recovery_strategies = {
JAEGISErrorCodes.CONFIG_FILE_NOT_FOUND: self.recover_missing_config,
JAEGISErrorCodes.CONFIG_PARSE_ERROR: self.recover_parse_error,
JAEGISErrorCodes.CONFIG_VALIDATION_ERROR: self.recover_validation_error,
JAEGISErrorCodes.AGENT_CONFIG_INVALID: self.recover_invalid_agent_config,
JAEGISErrorCodes.MISSING_REQUIRED_PROPERTY: self.recover_missing_property
}
recovery_func = recovery_strategies.get(error.error_code)
if recovery_func:
return recovery_func(error)
else:
return self.generic_config_recovery(error)
def recover_missing_config(self, error):
"""Recover from missing configuration file"""
recovery_steps = [
"1. Search for configuration file in alternative locations",
"2. Create default configuration file if none found",
"3. Validate default configuration",
"4. Prompt user for configuration customization"
]
try:
# Search alternative locations
config_file = self.search_alternative_config_locations()
if config_file:
log_info(f"Found configuration file at: {config_file}")
return RecoveryResult(success=True, action="FOUND_ALTERNATIVE")
# Create default configuration
default_config = self.create_default_configuration()
self.save_configuration(default_config)
log_info("Created default configuration file")
return RecoveryResult(success=True, action="CREATED_DEFAULT")
except Exception as recovery_error:
log_error(f"Configuration recovery failed: {recovery_error}")
return RecoveryResult(success=False, error=recovery_error)
def recover_parse_error(self, error):
"""Recover from configuration parsing errors"""
try:
# Attempt to fix common parsing issues
config_content = self.read_config_file_raw()
# Fix common YAML/JSON issues
fixed_content = self.fix_common_syntax_errors(config_content)
# Validate fixed content
parsed_config = self.parse_config_content(fixed_content)
# Backup original and save fixed version
self.backup_original_config()
self.save_fixed_config(fixed_content)
log_info("Configuration parsing errors fixed automatically")
return RecoveryResult(success=True, action="SYNTAX_FIXED")
except Exception as recovery_error:
# Fall back to default configuration
return self.recover_missing_config(error)
#### Resource Error Recovery
```python
class ResourceErrorRecovery:
"""Recovery procedures for resource access errors"""
def recover_from_resource_error(self, error):
"""Comprehensive resource error recovery"""
recovery_strategies = {
JAEGISErrorCodes.RESOURCE_NOT_FOUND: self.recover_missing_resource,
JAEGISErrorCodes.RESOURCE_ACCESS_DENIED: self.recover_access_denied,
JAEGISErrorCodes.RESOURCE_CORRUPTED: self.recover_corrupted_resource,
JAEGISErrorCodes.RESOURCE_TIMEOUT: self.recover_timeout,
JAEGISErrorCodes.RESOURCE_DEPENDENCY_MISSING: self.recover_missing_dependency
}
recovery_func = recovery_strategies.get(error.error_code)
if recovery_func:
return recovery_func(error)
else:
return self.generic_resource_recovery(error)
def recover_missing_resource(self, error):
"""Recover from missing resource files"""
resource_path = error.details.get("resource_path")
resource_type = error.details.get("resource_type")
try:
# Search for resource in alternative locations
alternative_path = self.search_alternative_locations(resource_path, resource_type)
if alternative_path:
self.update_resource_reference(resource_path, alternative_path)
return RecoveryResult(success=True, action="FOUND_ALTERNATIVE")
# Create default resource
default_resource = self.create_default_resource(resource_type)
self.save_resource(resource_path, default_resource)
return RecoveryResult(success=True, action="CREATED_DEFAULT")
except Exception as recovery_error:
return RecoveryResult(success=False, error=recovery_error)
def recover_access_denied(self, error):
"""Recover from resource access permission errors"""
resource_path = error.details.get("resource_path")
try:
# Check if running with sufficient privileges
if not self.has_sufficient_privileges():
return RecoveryResult(
success=False,
action="INSUFFICIENT_PRIVILEGES",
user_action_required="Run with administrator privileges"
)
# Attempt to fix file permissions
self.fix_file_permissions(resource_path)
# Verify access is now available
if self.can_access_resource(resource_path):
return RecoveryResult(success=True, action="PERMISSIONS_FIXED")
# Copy resource to accessible location
accessible_path = self.copy_to_accessible_location(resource_path)
self.update_resource_reference(resource_path, accessible_path)
return RecoveryResult(success=True, action="COPIED_TO_ACCESSIBLE_LOCATION")
except Exception as recovery_error:
return RecoveryResult(success=False, error=recovery_error)
class TaskExecutionErrorRecovery:
"""Recovery procedures for task execution errors"""
def recover_from_task_error(self, error):
"""Comprehensive task execution error recovery"""
recovery_strategies = {
JAEGISErrorCodes.TASK_NOT_FOUND: self.recover_missing_task,
JAEGISErrorCodes.TASK_VALIDATION_FAILED: self.recover_validation_failure,
JAEGISErrorCodes.TASK_EXECUTION_FAILED: self.recover_execution_failure,
JAEGISErrorCodes.TASK_TIMEOUT: self.recover_task_timeout,
JAEGISErrorCodes.TASK_DEPENDENCY_FAILED: self.recover_dependency_failure
}
recovery_func = recovery_strategies.get(error.error_code)
if recovery_func:
return recovery_func(error)
else:
return self.generic_task_recovery(error)
def recover_execution_failure(self, error):
"""Recover from task execution failures"""
task_name = error.details.get("task_name")
execution_context = error.details.get("execution_context")
failure_phase = error.details.get("failure_phase")
try:
# Analyze failure cause
failure_analysis = self.analyze_task_failure(error)
# Determine recovery strategy based on failure type
if failure_analysis.is_transient:
# Retry with exponential backoff
return self.retry_task_with_backoff(task_name, execution_context)
elif failure_analysis.is_resource_related:
# Fix resource issues and retry
self.fix_resource_issues(failure_analysis.resource_issues)
return self.retry_task(task_name, execution_context)
elif failure_analysis.is_parameter_related:
# Fix parameters and retry
fixed_parameters = self.fix_task_parameters(
execution_context.parameters,
failure_analysis.parameter_issues
)
execution_context.parameters = fixed_parameters
return self.retry_task(task_name, execution_context)
else:
# Use alternative task implementation
alternative_task = self.find_alternative_task(task_name)
if alternative_task:
return self.execute_alternative_task(alternative_task, execution_context)
# Fall back to manual intervention
return RecoveryResult(
success=False,
action="MANUAL_INTERVENTION_REQUIRED",
user_action_required=f"Task {task_name} requires manual intervention"
)
except Exception as recovery_error:
return RecoveryResult(success=False, error=recovery_error)
class ErrorNotificationSystem:
"""Comprehensive error notification system"""
def __init__(self):
self.notification_channels = []
self.notification_rules = {}
self.user_preferences = {}
def notify_error(self, error, recovery_result=None):
"""Send error notifications based on severity and user preferences"""
notification_level = self.determine_notification_level(error)
if notification_level == "IMMEDIATE":
self.send_immediate_notification(error, recovery_result)
elif notification_level == "URGENT":
self.send_urgent_notification(error, recovery_result)
elif notification_level == "STANDARD":
self.send_standard_notification(error, recovery_result)
elif notification_level == "LOG_ONLY":
self.log_error_only(error, recovery_result)
def send_immediate_notification(self, error, recovery_result):
"""Send immediate notification for critical errors"""
message = self.format_critical_error_message(error, recovery_result)
# Display modal dialog
self.show_modal_dialog(
title="Critical System Error",
message=message,
buttons=["Retry", "Safe Mode", "Exit"]
)
# Log to system log
log_critical(f"Critical error: {error}")
# Send to monitoring system
self.send_to_monitoring_system(error, "CRITICAL")
def format_user_friendly_message(self, error, recovery_result):
"""Format error message for user consumption"""
user_message = {
"title": self.get_user_friendly_title(error),
"description": self.get_user_friendly_description(error),
"impact": self.describe_user_impact(error),
"recovery_status": self.describe_recovery_status(recovery_result),
"user_actions": self.get_recommended_user_actions(error, recovery_result),
"technical_details": self.get_technical_summary(error) if self.user_wants_details() else None
}
return user_message
class AutomatedDiagnostics:
"""Automated diagnostic procedures for troubleshooting"""
def __init__(self):
self.diagnostic_tests = []
self.diagnostic_history = []
self.system_baseline = {}
def run_comprehensive_diagnostics(self):
"""Run comprehensive system diagnostics"""
diagnostic_suite = [
("Configuration Validation", self.diagnose_configuration),
("Resource Accessibility", self.diagnose_resources),
("Agent Health", self.diagnose_agents),
("Task Execution", self.diagnose_task_execution),
("Memory Usage", self.diagnose_memory),
("File System", self.diagnose_file_system),
("Network Connectivity", self.diagnose_network),
("Performance Metrics", self.diagnose_performance)
]
diagnostic_results = {}
for test_name, diagnostic_func in diagnostic_suite:
try:
result = diagnostic_func()
diagnostic_results[test_name] = result
if not result.passed:
log_warning(f"Diagnostic test failed: {test_name} - {result.message}")
except Exception as e:
diagnostic_results[test_name] = DiagnosticResult(
passed=False,
message=f"Diagnostic test error: {e}",
details={"exception": str(e)}
)
# Generate diagnostic report
diagnostic_report = self.generate_diagnostic_report(diagnostic_results)
# Store diagnostic history
self.diagnostic_history.append({
"timestamp": time.time(),
"results": diagnostic_results,
"report": diagnostic_report
})
return diagnostic_report
def diagnose_configuration(self):
"""Diagnose configuration-related issues"""
issues = []
# Check configuration file existence
if not self.config_file_exists():
issues.append("Configuration file not found")
# Check configuration validity
try:
config = self.load_configuration()
validation_result = self.validate_configuration(config)
if not validation_result.is_valid:
issues.extend(validation_result.errors)
except Exception as e:
issues.append(f"Configuration loading failed: {e}")
# Check agent configurations
agent_issues = self.diagnose_agent_configurations()
issues.extend(agent_issues)
return DiagnosticResult(
passed=len(issues) == 0,
message="Configuration diagnostics completed",
details={"issues": issues}
)