G.O.D Framework

Introduction

The backup_manager.py script provides the G.O.D Framework with an automated and reliable mechanism for creating, managing, and restoring backups for system-critical data, configurations, and logs. It ensures data integrity, accessibility, and disaster recovery readiness.

Purpose

This script aims to:

• Automate regular backups of system configurations, data, and logs.
• Ensure data availability and restoration in case of outages or corruption.
• Provide flexibility with scheduled, incremental, and full backups.
• Integrate seamlessly with the disaster recovery mechanisms in the G.O.D Framework.

Key Features

• Incremental Backups: Optimized data storage with incremental data-saving techniques.
• Scheduled Backups: Automates backup creation based on predefined schedules (e.g., cron jobs).
• Data Integrity: Ensures backup files are validated and corruption-free.
• Encrypted Backups: Secure system-critical backups with encryption for sensitive data.
• Cloud Integration: Supports offsite backups to cloud storage providers (AWS, Azure, GCP).

Logic and Implementation

The workflow of the backup_manager.py script consists of three main stages: Backup Creation, Validation, and Restoration. Below is a Python implementation example:

import os
import shutil
import logging
from datetime import datetime

class BackupManager:
    """
    Handles backup creation, validation, and restoration for the G.O.D Framework.
    """

    def __init__(self, backup_dir="backups/"):
        self.backup_dir = backup_dir
        os.makedirs(self.backup_dir, exist_ok=True)
        self.logger = logging.getLogger("BackupManager")

    def create_backup(self, source_dir):
        """
        Creates a backup of the specified directory.

        Args:
            source_dir (str): The directory to back up.

        Returns:
            str: The path to the created backup.
        """
        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
        backup_name = f"backup_{timestamp}.zip"
        backup_path = os.path.join(self.backup_dir, backup_name)
        shutil.make_archive(backup_path.replace(".zip", ""), 'zip', source_dir)
        self.logger.info(f"Backup created: {backup_path}")
        return backup_path

    def restore_backup(self, backup_name, restore_dir):
        """
        Restores a backup from the specified file.

        Args:
            backup_name (str): The name of the backup file.
            restore_dir (str): Directory where data will be restored.

        Returns:
            bool: True if the restoration is successful.
        """
        try:
            backup_path = os.path.join(self.backup_dir, backup_name)
            shutil.unpack_archive(backup_path, restore_dir)
            self.logger.info(f"Backup restored to: {restore_dir}")
            return True
        except Exception as e:
            self.logger.error(f"Failed to restore backup {backup_name}: {e}")
            return False


# Example usage
if __name__ == "__main__":
    manager = BackupManager()
    # Create backup
    backup_file = manager.create_backup("data_to_backup/")
    # Restore backup
    manager.restore_backup(os.path.basename(backup_file), "restored_data/")
        

This example demonstrates backup creation using the shutil library and logical structuring of backup file naming for version control.

Dependencies

• OS Module: For directory creation and file management.
• Shutil: To handle archiving and data extraction during backups.
• Logging: To log backup events, including successes or failures.
• Cron/Scheduler (Optional): For automating scheduled backups.

Integration with the G.O.D Framework

backup_manager.py integrates with the following G.O.D Framework modules:

• ai_disaster_recovery.py: Facilitates data restoration workflows in disaster recovery scenarios.
• ai_data_registry.py: Interfaces with registry to track and manage backup metadata.
• ai_secure_data_handler.py: Ensures proper encryption of backups for sensitive data.

Future Enhancements

• Add support for differential backups to optimize data storage further.
• Develop a web dashboard for managing and monitoring backup activities.
• Integrate with cloud-native backup solutions like AWS S3 or Azure Blob Storage.
• Implement disaster monitoring to identify system failure risks and initiate backups.
• Introduce reporting tools to generate backup logs and analytics for administrators.