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Orchestrates a comprehensive analysis of Remarkable cloud state and replica synchronization, capturing detailed HTTP logs and saving results to JSON files.

Purpose

This function serves as the main entry point for running a complete diagnostic analysis of Remarkable cloud services and replica sync processes. It initializes a test suite with raw logging enabled, executes comprehensive cloud analysis, saves the results to timestamped JSON files, and captures raw HTTP logs for detailed debugging. This is useful for troubleshooting sync issues, understanding cloud state, and analyzing API interactions with Remarkable services.

Source Code

def main():
    """Run comprehensive cloud and replica analysis"""
    try:
        # Initialize test suite with raw logging enabled
        test_suite = RemarkableUploadTests(enable_raw_logging=True)
        
        print("\n� COMPREHENSIVE CLOUD & REPLICA ANALYSIS")
        print("This will analyze both cloud state and replica sync process")
        print("=" * 60)
        
        # Run comprehensive analysis
        analysis_results = test_suite.comprehensive_cloud_analysis()
        
        # Save analysis results
        results_file = Path(__file__).parent / "test_results" / f"comprehensive_analysis_{int(time.time())}.json"
        results_file.parent.mkdir(exist_ok=True)
        
        with open(results_file, 'w') as f:
            json.dump(analysis_results, f, indent=2, default=str)
        
        print(f"\n💾 Analysis results saved to: {results_file}")
        
        # Save raw HTTP logs for detailed analysis
        log_file = test_suite.save_raw_logs()
        if log_file:
            print(f"🔍 Raw HTTP logs captured for detailed request analysis")
        
        return True
        
    except Exception as e:
        print(f"❌ Analysis failed to initialize: {e}")
        return False

Return Value

Returns a boolean value: True if the analysis completes successfully (including initialization, analysis execution, and file saving), False if any exception occurs during the process. The actual analysis results are saved to disk rather than returned directly.

Dependencies

• pathlib
• json
• time
• requests
• reportlab
• typing

Required Imports

import os
import json
import time
from pathlib import Path
from typing import Dict, Any
import uuid
import requests
from auth import RemarkableAuth
from upload_manager import RemarkableUploadManager
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import letter
from local_replica_v2 import RemarkableReplicaBuilder

Usage Example

if __name__ == '__main__':
    # Run the comprehensive analysis
    success = main()
    
    if success:
        print('Analysis completed successfully')
        print('Check the test_results directory for output files')
    else:
        print('Analysis failed - check error messages above')
        exit(1)

Best Practices

• Ensure the RemarkableUploadTests class is properly implemented before calling this function
• Verify that authentication credentials are configured correctly to avoid API failures
• Check that sufficient disk space is available for saving analysis results and HTTP logs
• Run this function in a context where network access to Remarkable services is available
• Review the generated JSON files in the test_results directory for detailed analysis output
• The function uses exception handling to catch all errors, so check the return value to determine success
• Timestamped filenames prevent overwriting previous analysis results
• Raw HTTP logs can be large - monitor disk usage if running frequently

Tags

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