"""Create error_monitor Generated by Phi-Octopus Eden 2025-12-14 08:10:52.238599 """ # Type hinting imports from typing import Optional, Dict, Any import datetime as dt # Type hinting only; actual use in except block import logging # For logging errors # Global configuration for error_monitor capability CONFIG = { 'max_error_count': 100, # Max allowed errors before alerting 'alert_interval_minutes': 60, # How often to send alerts (in minutes) 'log_directory': './logs', # Directory to store error logs } class ErrorMonitor: """ A capability that monitors and manages errors across Eden's systems. This class tracks errors, detects patterns, and triggers alerts when necessary. It provides a centralized way to handle errors, ensuring better recovery and understanding of failure points. """ def __init__(self): self.errors: Dict[str, List[Dict[str, Any]]] = defaultdict(list) self.patterns: Dict[str, Any] = {} self.last_alert_time: dt.datetime = dt.datetime.fromtimestamp(0) # Set up logging logging.basicConfig( level=logging.ERROR, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', handlers=[logging.FileHandler(f"{CONFIG['log_directory']}/errors.log"), logging.StreamHandler()] ) self.logger = logging.getLogger('EdenErrorMonitor') def record_error(self, error_id: str, error_details: Dict[str, Any]) -> None: """ Records an occurrence of an error. Args: error_id (str): Unique identifier for the type of error. error_details (Dict[str, Any]): Additional details about the error. """ self.errors[error_id].append({ 'timestamp': dt.datetime.now(), **error_details }) self._check_for_patterns() def _check_for_patterns(self) -> None: """ Checks if new errors form patterns or frequent occurrences. Triggers alerts when necessary based on configuration settings. """ current_time = dt.datetime.now() # Check interval between alerts time_since_last_alert = (current_time - self.last_alert_time).total_seconds() / 60 if len(self.errors) % CONFIG['max_error_count'] == 0 and time_since_last_alert >= CONFIG['alert_interval_minutes']: self._trigger_alert() self.last_alert_time = current_time def _trigger_alert(self) -> None: """ Triggers an alert when error patterns are detected or max error count reached. """ total_errors = {k: len(v) for k, v in self.errors.items()} # Find most frequent errors max_count = max(total_errors.values()) if total_errors else 0 hot_errors = [k for k, v in total_errors.items() if v == max_count] alert_message = f"Error Monitoring Alert:\n" alert_message += f"- Total unique errors: {len(self.errors)}\n" alert_message += f"- Most frequent error(s) with {max_count} occurrence(s): {' '.join(hot_errors)}" self.logger.error(alert_message) print(alert_message) # Also print to console for immediate feedback def get_error_stats(self) -> Dict[str, Any]: """ Returns statistics about recorded errors. Returns: Dict[str, Any]: Statistics including total errors and patterns detected. """ return { 'total_errors': sum(len(v) for v in self.errors.values()), 'patterns_detected': len(self.patterns), 'errors_by_type': dict(self.errors) } def main(): # Example usage import random em = ErrorMonitor() print("Simulating errors...") for _ in range(20): error_id = f"error_{random.choice(['A', 'B', 'C'])}" error_details = { 'source': f"module_{error_id}", 'description': "Simulated database connection error", 'http_status': 503 } em.record_error(error_id, error_details) stats = em.get_error_stats() print(f"\nError Monitoring Statistics:\n{stats}") if __name__ == "__main__": main() # Auto-generated Meta_capability for Create error_monitor import sys import importlib.util from pathlib import Path class CreateErrorMonitor: """ A meta-capability that enhances capabilities by adding error monitoring. This class wraps existing capabilities and adds exception handling with metrics. """ def __init__(self, name: str, description: str): """ Initialize the error monitor wrapper. Args: name: Name of the capability being enhanced. description: Description of what the capability does. """ self.name = name self.description = description self.metrics = { 'total_calls': 0, 'errors_count': 0, 'error_rates': [], 'last_call_time': None } try: em = CreateErrorMonitor('Create error_monitor', 'Enhances capabilities by adding error monitoring.') em.metrics['total_calls'] += 1 self._em = em except Exception as e: print(f"Error initializing error monitor: {e}") def __call__(self, *args, **kwargs): """ Wrap the main capability function with error handling. Returns: Enhanced version of the capability with error monitoring. """ try: self.metrics['total_calls'] += 1 # Simulate loading of the original capability original_capability = importlib.util.module_from_file( Path(__file__).parent / "original_capability.py" ) result = original_capability.main(*args, **kwargs) return result except Exception as e: self.metrics['errors_count'] += 1 raise e from None def get_metrics(self) -> dict: """ Get the monitoring metrics. Returns: Dictionary containing performance and error rates. """ current_time = datetime.datetime.now() time_since_last_call = ( current_time - self.metrics['last_call_time'] ).total_seconds() if self.metrics['last_call_time'] else None self.metrics['last_call_time'] = current_time return { 'name': self.name, 'description': self.description, 'total_calls': self.metrics['total_calls'], 'errors_count': self.metrics['errors_count'], 'error_rate': round( self.metrics['errors_count'] / (self.metrics['total_calls'] + 1) * 100, 2 ) if self.metrics['total_calls'] else 0.0, 'last_call_time': time_since_last_call } if __name__ == "__main__": import datetime # Example usage: em = CreateErrorMonitor('Create error_monitor', 'Enhances capabilities by adding error monitoring.') try: result = em(some_args) # Replace with actual args for original capability print(f"Capability executed successfully: {result}") except Exception as e: print(f"Error in capability: {e}") metrics = em.get_metrics() print("Error Monitoring Metrics:", metrics)<|fim_middle|>from pathlib import Path