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function main_v64

Maturity: 44

Entry point function that orchestrates a repair process for a corrupted reMarkable root.docSchema file by running a dry-run analysis first, then optionally applying the repair based on user confirmation.

File:
/tf/active/vicechatdev/e-ink-llm/cloudtest/fix_root_docschema.py
Lines:
405 - 438
Complexity:
moderate

Purpose

This function serves as the main CLI interface for the RootDocSchemaRepair tool. It guides users through a two-phase repair process: first performing a dry-run to preview changes (preserving folders and invoice PDFs, recalculating document sizes), then prompting for confirmation before applying the actual repair. It handles initialization errors and provides user-friendly console output with emoji indicators for status updates.

Source Code

def main():
    """Run the root.docSchema repair"""
    try:
        repair_tool = RootDocSchemaRepair()
        
        print("🔧 reMarkable Root DocSchema Repair Tool")
        print("=" * 50)
        print("This tool will fix the corrupted root.docSchema by:")
        print("  ✅ Preserving working entries (folders + invoice PDFs)")
        print("  🔧 Recalculating correct sizes for broken documents")
        print("  ⬆️  Uploading the corrected root.docSchema")
        print()
        
        # First run in dry-run mode to show what will be done
        print("🔍 Running DRY RUN first to analyze the repair plan...")
        dry_run_success = repair_tool.run_repair(dry_run=True)
        
        if dry_run_success:
            print("\n" + "=" * 50)
            response = input("🚀 Dry run successful! Apply the repair? (yes/no): ").strip().lower()
            
            if response in ['yes', 'y']:
                print("🚀 Applying the repair...")
                return repair_tool.run_repair(dry_run=False)
            else:
                print("❌ Repair cancelled by user")
                return False
        else:
            print("❌ Dry run failed - cannot proceed with repair")
            return False
            
    except Exception as e:
        print(f"❌ Repair tool failed to initialize: {e}")
        return False

Return Value

Returns a boolean value indicating the success or failure of the repair operation. Returns True if the repair was successfully applied (when user confirms), False if the dry run failed, user cancelled the operation, or an exception occurred during initialization. The return value reflects the final state of the repair process.

Dependencies

  • requests

Required Imports

from auth import RemarkableAuth

Conditional/Optional Imports

These imports are only needed under specific conditions:

import json

Condition: Required by RootDocSchemaRepair class for parsing and manipulating docSchema data

Required (conditional) 
import time

Condition: Required by RootDocSchemaRepair class for timing operations or delays

Required (conditional) 
import hashlib

Condition: Required by RootDocSchemaRepair class for calculating file hashes

Required (conditional) 
from pathlib import Path

Condition: Required by RootDocSchemaRepair class for file path operations

Required (conditional) 
from typing import Dict, List, Tuple, Any

Condition: Required by RootDocSchemaRepair class for type annotations

Required (conditional)

Usage Example

if __name__ == '__main__':
    # Run the repair tool interactively
    success = main()
    
    if success:
        print('Repair completed successfully!')
        exit(0)
    else:
        print('Repair failed or was cancelled')
        exit(1)

Best Practices

  • Always run the dry-run phase first to preview changes before applying them - this is built into the function flow
  • Ensure proper authentication is configured before calling this function
  • The function requires user interaction via stdin, so it should only be called in interactive CLI contexts, not in automated scripts
  • Handle the boolean return value to determine if the repair was successful for proper exit codes or logging
  • Ensure network connectivity to reMarkable cloud services before running
  • Consider backing up the original root.docSchema before running this repair tool
  • The function catches broad exceptions during initialization but not during the repair process itself - ensure RootDocSchemaRepair.run_repair() has proper error handling

Tags

cli repair-tool remarkable docschema interactive dry-run file-repair user-confirmation error-handling cloud-sync

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