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Interactive command-line tool that runs a schema repair process with a dry-run preview before applying changes to the root document schema.

Purpose

This function serves as the entry point for a repair tool that fixes issues in a root document schema. It implements a two-phase approach: first showing a preview of changes in dry-run mode, then prompting the user for confirmation before applying the actual corrections. This prevents accidental data modifications and allows users to review changes before committing them.

Source Code

def main():
    """Run the corrected repair tool"""
    try:
        repair = CorrectedRootDocSchemaRepair()
        
        # First run dry-run
        print("🔍 Running DRY RUN to preview changes...")
        success = repair.preview_changes(dry_run=True)
        
        if success:
            response = input("\n🚀 Apply the corrections? (yes/no): ").strip().lower()
            if response in ['yes', 'y']:
                return repair.preview_changes(dry_run=False)
            else:
                print("❌ Repair cancelled by user")
                return False
        else:
            print("❌ Dry run failed")
            return False
            
    except Exception as e:
        print(f"❌ Repair tool failed: {e}")
        return False

Return Value

Returns a boolean value indicating success (True) or failure (False) of the repair operation. Returns False if the dry run fails, if the user cancels the operation, or if an exception occurs during execution. Returns the result of the actual repair operation (boolean) if the user confirms the changes.

Dependencies

• requests

Required Imports

from auth import RemarkableAuth

Usage Example

if __name__ == '__main__':
    success = main()
    if success:
        print('Schema repair completed successfully')
    else:
        print('Schema repair failed or was cancelled')
    exit(0 if success else 1)

Best Practices

• Always run the dry-run preview before applying changes to understand the impact
• Ensure proper authentication is configured before running this function
• Handle the boolean return value to determine if the operation succeeded
• Consider backing up data before running repair operations
• The function uses user input, so it should only be run in interactive environments, not in automated scripts
• Wrap calls to this function in proper error handling at the application level

Tags

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