"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-12-14 13:11:18.454094
"""

Use proper markdown if needed (code tags, etc.)

"""
import subprocess
import logging
from pathlib import Path
from datetime import datetime
import yaml

class FallbackExecutor:
    """
    A fallback execution strategy for handling errors in main executors.
    
    This capability provides a robust error-handling mechanism that can be used as a last resort when primary execution methods fail. It includes retry logic with exponential backoff and detailed error reporting.

    Attributes:
        max_retries (int): Maximum number of retry attempts before giving up.
        base_delay (float): Base delay in seconds between retries (exponential backoff).
        log_path (Path): Path to store execution logs.
    """
    
    def __init__(self, max_retries: int = 3, base_delay: float = 1.0):
        """
        Initialize the FallbackExecutor with specified parameters.

        Args:
            max_retries (int, optional): Maximum retry attempts. Defaults to 3.
            base_delay (float, optional): Base delay between retries in seconds. Defaults to 1.0.
        """
        self.max_retries = max_retries
        self.base_delay = base_delay
        self.log_path = Path("/Eden/LOGS/fallback_executor_logs")
        self.log_path.mkdir(parents=True, exist_ok=True)
        
    def execute_with_fallback(self, command: str, operation_name: str) -> dict:
        """
        Execute a command with fallback strategy handling errors.

        Args:
            command (str): The command to execute.
            operation_name (str): Name of the operation for logging and error reporting.

        Returns:
            dict: Execution result containing status, stdout, stderr, and log path.
        
        Raises:
            RuntimeError: If all retry attempts fail.
        """
        attempt = 0
        while attempt < self.max_retries:
            try:
                start_time = datetime.now()
                result = self._execute_command(command)
                
                execution_log = {
                    "operation": operation_name,
                    "start_time": start_time.strftime("%Y-%m-%d %H:%M:%S"),
                    "end_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "return_code": result["return_code"],
                    "stdout_path": str(result["stdout"].name),
                    "stderr_path": str(result["stderr"].name)
                }
                
                log_file = self.log_path / f"{operation_name}_{start_time.strftime('%Y%m%d_%H%M%S')}.yml"
                with open(log_file, 'w') as f:
                    yaml.dump(execution_log, f)
                    
                return {
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "stdout": result["stdout"].read_text(),
                    "stderr": result["stderr"].read_text(),
                    "log_path": str(log_file)
                }
                
            except Exception as e:
                attempt += 1
                error_message = f"Attempt {attempt}/{self.max_retries} failed - {str(e)}"
                logging.error(error_message, exc_info=True)
                
                if attempt == self.max_retries:
                    raise RuntimeError(f"{operation_name} failed after {self.max_retries} attempts") from e
            
            # Add exponential backoff between retries
            delay = (2 ** attempt) * self.base_delay
            logging.info(f"Retrying in {delay:.1f}s...")
            import time
            time.sleep(delay)
        
    def _execute_command(self, command: str) -> dict:
        """
        Internal method to execute a shell command and capture output.

        Args:
            command (str): The command to execute.

        Returns:
            dict: Execution result containing return code, stdout, and stderr.
        """
        stdout_file = Path(f"/tmp/{command.replace(' ', '_')}_stdout_{datetime.now().timestamp()}.txt")
        stderr_file = Path(f"/tmp/{command.replace(' ', '_')}_stderr_{datetime.now().timestamp()}.txt")
        
        try:
            result = subprocess.run(
                command,
                shell=True,
                capture_output=True,
                text=True,
                timeout=60,
                stdout=stdout_file.open('w'),
                stderr=stderr_file.open('w')
            )
            
            return {
                "return_code": result.returncode,
                "stdout": stdout_file,
                "stderr": stderr_file
            }
        except subprocess.TimeoutExpired:
            raise RuntimeError(f"Command timed out after 60 seconds: {command}")
        finally:
            # Ensure files are closed even if not completed
            stdout_file.close()
            stderr_file.close()

# Example usage
if __name__ == "__main__":
    import logging
    logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
    
    fallback_executor = FallbackExecutor(max_retries=3, base_delay=1.0)
    
    try:
        result = fallback_executor.execute_with_fallback(
            "nonexistent_command --invalid",
            "Test Operation"
        )
        print(f"Execution Status: {result['status']}")
    except RuntimeError as e:
        print(str(e))
    
    # Example with valid command for demonstration
    try:
        result = fallback_executor.execute_with_fallback(
            "ls -l /Eden",
            "List Contents of Eden"
        )
        print(f"Execution Status: {result['status']}")
    except RuntimeError as e:
        print(str(e))
import subprocess
import logging
from pathlib import Path
import yaml
from datetime import datetime

class FallbackExecutor:
    """
    A robust execution strategy for handling errors in main executors.
    
    Provides fallback logic with retry mechanisms, detailed error reporting,
    and structured logging. Ideal for unreliable operations requiring resilience.

    Attributes:
        max_retries (int): Maximum number of retry attempts before giving up.
        base_delay (float): Base delay between retries in seconds (exponential backoff).
        log_root (Path): Root directory for storing execution logs.
    """
    
    def __init__(self, max_retries: int = 3, base_delay: float = 1.0):
        """
        Initialize the FallbackExecutor with specified error handling parameters.

        Args:
            max_retries (int, optional): Number of retry attempts. Defaults to 3.
            base_delay (float, optional): Base delay between retries in seconds. Defaults to 1.0.
        """
        self.max_retries = max_retries
        self.base_delay = base_delay
        self.log_root = Path("/Eden/LOGS/fallback_executor")
        self.log_root.mkdir(parents=True, exist_ok=True)
        
    def execute(self, command: str, operation_name: str) -> dict:
        """
        Execute a shell command with fallback strategy.

        Args:
            command (str): The shell command to execute.
            operation_name (str): Name of the operation for logging and identification.

        Returns:
            dict: Execution result containing status, stdout, stderr, and log path.
        
        Raises:
            RuntimeError: If all retry attempts fail.
        """
        attempt = 0
        while attempt < self.max_retries:
            try:
                start_time = datetime.now()
                result = self._run_command(command)
                
                log_data = {
                    "operation": operation_name,
                    "start_time": start_time.isoformat(),
                    "end_time": datetime.now().isoformat(),
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "return_code": result["return_code"]
                }
                
                log_file = self.log_root / f"{operation_name}_{attempt}_{start_time.strftime('%Y%m%d_%H%M%S')}.yml"
                with open(log_file, 'w') as f:
                    yaml.dump(log_data, f)
                    
                return {
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "output": result["stdout"],
                    "error": result["stderr"],
                    "log_path": str(log_file)
                }
                
            except Exception as e:
                attempt += 1
                logging.error(f"Attempt {attempt}/{self.max_retries} failed", exc_info=True)
                
                if attempt == self.max_retries:
                    raise RuntimeError(f"{operation_name} failed after {self.max_retries} attempts") from e
            
            # Exponential backoff
            delay = (attempt + 1) * self.base_delay
            logging.info(f"Retrying in {delay:.1f}s...")
            import time
            time.sleep(delay)
        
    def _run_command(self, command: str) -> dict:
        """
        Internal method to run the shell command and capture output.

        Args:
            command (str): The shell command to execute.

        Returns:
            dict: Execution result containing return code, stdout, and stderr.
        """
        try:
            process = subprocess.run(
                command,
                shell=True,
                capture_output=True,
                text=True,
                timeout=60
            )
            
            return {
                "return_code": process.returncode,
                "stdout": process.stdout,
                "stderr": process.stderr
            }
        except subprocess.TimeoutExpired:
            raise RuntimeError(f"Command timed out: {command}")
        
# Example usage
if __name__ == "__main__":
    import logging
    
    # Configure basic logging
    logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
    
    # Initialize fallback executor with 3 retries and 1-second backoff
    fallback_executor = FallbackExecutor(max_retries=3, base_delay=1.0)
    
    try:
        # Example read-only operation
        result = fallback_executor.execute("ls -l /etc/passwd", "ReadPasswordFile")
        print(f"Operation Status: {result['status']}")
        if result["status"] == "failed":
            print(f"Error Details: {result['error']}")
            
        # Example write-only operation with expected failure
        result = fallback_executor.execute("echo test > /root/test.txt", "WriteRootFile")
        print(f"Operation Status: {result['status']}")
        if result["status"] == "failed":
            print(f"Error Details: {result['error']}")
            
    except RuntimeError as e:
        logging.error(str(e))
import subprocess
import logging
from pathlib import Path
import yaml
from datetime import datetime

class FallbackExecutor:
    """
    Robust execution strategy with fallback for unreliable operations.
    
    Provides retry logic, error recovery, and comprehensive logging. Ideal 
    for critical sections that require high reliability.

    Attributes:
        max_retries (int): Maximum retry attempts before giving up.
        base_delay (float): Base delay between retries in seconds.
        log_root (Path): Directory to store execution logs.
    """
    
    def __init__(self, max_retries: int = 3, base_delay: float = 1.0):
        """
        Initialize fallback executor with error handling parameters.

        Args:
            max_retries (int, optional): Retry attempts. Defaults to 3.
            base_delay (float, optional): Backoff interval between retries. Defaults to 1.0.
        """
        self.max_retries = max_retries
        self.base_delay = base_delay
        self.log_root = Path("/Eden/LOGS/fallback_executor")
        self.log_root.mkdir(parents=True, exist_ok=True)
        
    def execute(self, command: str, operation_name: str) -> dict:
        """
        Execute command with fallback strategy.

        Args:
            command (str): Shell command to execute.
            operation_name (str): Operation identifier for logging.

        Returns:
            dict: Execution result with status, output, error, and log path.
        
        Raises:
            RuntimeError: If all retries fail.
        """
        attempt = 0
        while attempt < self.max_retries:
            try:
                start_time = datetime.now()
                result = self._run(command)
                
                log_data = {
                    "operation": operation_name,
                    "start_time": start_time.isoformat(),
                    "end_time": datetime.now().isoformat(),
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "return_code": result["return_code"]
                }
                
                log_file = self.log_root / f"{operation_name}_{attempt}_{start_time.strftime('%Y%m%d_%H%M%S')}.yml"
                with open(log_file, 'w') as f:
                    yaml.dump(log_data, f)
                    
                return {
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "output": result["stdout"],
                    "error": result["stderr"],
                    "log_path": str(log_file)
                }
                
            except Exception as e:
                attempt += 1
                logging.error(f"Attempt {attempt}/{self.max_retries} failed", exc_info=True)
                
                if attempt == self.max_retries:
                    raise RuntimeError(f"{operation_name} failed after {self.max_retries} attempts") from e
            
            # Exponential backoff
            delay = (attempt + 1) * self.base_delay
            logging.info(f"Retrying in {delay:.1f}s...")
            import time
            time.sleep(delay)
        
    def _run(self, command: str) -> dict:
        """
        Internal method to execute shell command.

        Args:
            command (str): Shell command.

        Returns:
            dict: Execution result with return code, stdout, stderr.
        """
        try:
            process = subprocess.run(
                command,
                shell=True,
                capture_output=True,
                text=True,
                timeout=60
            )
            
            return {
                "return_code": process.returncode,
                "stdout": process.stdout,
                "stderr": process.stderr
            }
        except subprocess.TimeoutExpired:
            raise RuntimeError(f"Command timed out: {command}")
        
# Example usage
if __name__ == "__main__":
    import logging
    
    # Configure logger
    logging.basicConfig(level=logging.INFO)
    
    # Initialize executor with params
    executor = FallbackExecutor(max_retries=5, base_delay=2.0)
    
    try:
        # Read file operation
        result = executor.execute("cat /etc/passwd", "ReadPasswordFile")
        print(f"Status: {result['status']}")
        
        # Network operation
        result = executor.execute("curl -s http://example.com", "FetchExample")
        print(f"Status: {result['status']}")
    except RuntimeError as e:
        logging.error(str(e))
import subprocess
import logging
from pathlib import Path
import yaml
from datetime import datetime

class FallbackExecutor:
    """
    Robust execution strategy with fallback mechanism.

    Handles unreliable operations by retrying with exponential backoff.
    Provides detailed error recovery and structured logging.
    """

    def __init__(self, max_retries: int = 3, base_delay: float = 1.0):
        self.max_retries = max_retries
        self.base_delay = base_delay
        self.log_root = Path("/Eden/LOGS/fallback_executor")
        self.log_root.mkdir(parents=True, exist_ok=True)

    def execute(self, command: str, operation_name: str) -> dict:
        attempt = 0
        while attempt < self.max_retries:
            try:
                start_time = datetime.now()
                result = self._run(command)
                
                log_data = {
                    "operation": operation_name,
                    "start_time": start_time.isoformat(),
                    "end_time": datetime.now().isoformat(),
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "return_code": result["return_code"]
                }
                
                log_file = self.log_root / f"{operation_name}_{attempt}_{start_time.strftime('%Y%m%d_%H%M%S')}.yml"
                with open(log_file, 'w') as f:
                    yaml.dump(log_data, f)
                    
                return {
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "output": result["stdout"],
                    "error": result["stderr"],
                    "log_path": str(log_file)
                }
            except Exception as e:
                attempt += 1
                logging.error(f"Attempt {attempt}/{self.max_retries} failed", exc_info=True)
                
                if attempt == self.max_retries:
                    raise RuntimeError(f"{operation_name} failed after {self.max_retries} attempts") from e
            
            delay = (attempt + 1) * self.base_delay
            logging.info(f"Retrying in {delay:.1f}s...")
            import time
            time.sleep(delay)

    def _run(self, command: str) -> dict:
        try:
            process = subprocess.run(
                command,
                shell=True,
                capture_output=True,
                text=True,
                timeout=60
            )
            
            return {
                "return_code": process.returncode,
                "stdout": process.stdout,
                "stderr": process.stderr
            }
        except subprocess.TimeoutExpired:
            raise RuntimeError(f"Command timed out: {command}")

if __name__ == "__main__":
    import logging
    
    logging.basicConfig(level=logging.INFO)
    executor = FallbackExecutor(max_retries=5, base_delay=2.0)
    
    try:
        result = executor.execute("ls /nonexistent", "ListNonexistent")
        print(f"Status: {result['status']}")
    except RuntimeError as e:
        logging.error(str(e))
import subprocess
import logging
from pathlib import Path
import yaml
from datetime import datetime

class FallbackExecutor:
    """
    Robust execution strategy with fallback mechanism.

    Handles operations that fail intermittently by retrying them.
    Provides detailed error tracking and structured logging.
    """

    def __init__(self, max_retries: int = 3, base_delay: float = 1.0):
        self.max_retries = max_retries
        self.base_delay = base_delay
        self.log_root = Path("/Eden/LOGS/fallback_executor")
        self.log_root.mkdir(parents=True, exist_ok=True)

    def execute(self, command: str, operation_name: str) -> dict:
        attempt = 0
        while attempt < self.max_retries:
            try:
                start_time = datetime.now()
                result = self._run(command)
                
                log_data = {
                    "operation": operation_name,
                    "start_time": start_time.isoformat(),
                    "end_time": datetime.now().isoformat(),
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "return_code": result["return_code"]
                }
                
                log_file = self.log_root / f"{operation_name}_{attempt}_{start_time.strftime('%Y%m%d_%H%M%S')}.yml"
                with open(log_file, 'w') as f:
                    yaml.dump(log_data, f)
                    
                return {
                    "status": "success" if result["return_code"] == 0 else "failed",
                    "output": result["stdout"],
                    "error": result["stderr"],
                    "log_path": str(log_file)
                }
            except Exception as e:
                attempt += 1
                logging.error(f"Attempt {attempt}/{self.max_retries} failed", exc_info=True)
                
                if attempt == self.max_retries:
                    raise RuntimeError(f"{operation_name} failed after {self.max_retries} attempts") from e
            
            delay = (attempt + 1) * self.base_delay
            logging.info(f"Retrying in {delay:.1f}s...")
            import time
            time.sleep(delay)

    def _run(self, command: str) -> dict:
        try:
            process = subprocess.run(
                command,
                shell=True,
                capture_output=True,
                text=True,
                timeout=60
            )
            
            return {
                "return_code": process.returncode,
                "stdout": process.stdout,
                "stderr": process.stderr
            }
        except subprocess.TimeoutExpired:
            raise RuntimeError(f"Command timed out: {command}")

if __name__ == "__main__":
    import logging
    
    logging.basicConfig(level=logging.INFO)
    executor = FallbackExecutor(max_retries=5, base_delay=2.0)
    
    try:
        result = executor.execute("ls /sensitive", "ListSensitive")
        print(f"Status: {result['status']}")
    except RuntimeError as e:
        logging.error(str(e))<|fim_middle|>