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Executes a dry run comparison analysis of PDF upload requests between a simulated implementation and a real application, without making actual API calls.

Purpose

This function orchestrates a comprehensive dry run testing workflow to validate PDF upload request formatting. It simulates PDF upload requests, compares them against expected real application behavior, identifies differences and critical issues, generates fix recommendations, and saves detailed results to a JSON file. The function is designed for debugging and validation purposes to ensure request compatibility before making actual API calls.

Source Code

def main():
    """Run dry run comparison analysis"""
    try:
        print("🧪 DRY RUN UPLOAD COMPARISON")
        print("=" * 50)
        print("🚫 NO API CALLS - ANALYSIS ONLY")
        
        # Initialize comparison tool
        comparator = DryRunUploadComparison()
        
        # Simulate our PDF upload
        our_requests = comparator.simulate_pdf_upload("TestDocument_DryRun")
        
        # Compare with real app
        differences = comparator.compare_with_real_app(our_requests)
        
        # Generate recommendations
        recommendations = comparator.generate_fix_recommendations(differences)
        
        # Save results
        results = {
            'timestamp': time.time(),
            'our_requests': our_requests,
            'differences': differences,
            'recommendations': recommendations
        }
        
        results_file = Path(__file__).parent / "test_results" / f"dry_run_comparison_{int(time.time())}.json"
        results_file.parent.mkdir(exist_ok=True)
        
        with open(results_file, 'w') as f:
            json.dump(results, f, indent=2, default=str)
        
        print(f"\n💾 Dry run results saved to: {results_file}")
        
        # Summary
        print(f"\n📋 SUMMARY:")
        print(f"   Header differences: {len(differences['header_differences'])}")
        print(f"   Critical issues: {len(differences['critical_issues'])}")
        print(f"   Recommendations: {len(recommendations)}")
        
        print(f"\n🔧 RECOMMENDATIONS:")
        for i, rec in enumerate(recommendations, 1):
            print(f"   {i}. {rec}")
        
        return len(differences['critical_issues']) == 0
        
    except Exception as e:
        print(f"❌ Dry run comparison failed: {e}")
        return False

Return Value

Returns a boolean value: True if no critical issues were found during the comparison (len(differences['critical_issues']) == 0), False if critical issues exist or if an exception occurred during execution.

Dependencies

• json
• time
• pathlib
• typing
• uuid
• hashlib
• base64
• binascii

Required Imports

import json
import time
from pathlib import Path
from typing import Dict, Any, List
import uuid
import hashlib
import base64
import binascii
from auth import RemarkableAuth

Usage Example

if __name__ == '__main__':
    # Run the dry run comparison
    success = main()
    
    if success:
        print('✅ All checks passed - no critical issues found')
        exit(0)
    else:
        print('❌ Critical issues detected - review recommendations')
        exit(1)

Best Practices

• This function should be run in a test environment before making actual API calls to validate request formatting
• Review the generated JSON results file to understand specific differences and recommendations
• Ensure the test_results directory has appropriate write permissions
• The function returns a boolean that can be used for CI/CD pipeline integration to fail builds on critical issues
• Check the console output for a summary of issues before diving into the detailed JSON results
• The function handles exceptions gracefully and returns False on failure, making it suitable for automated testing workflows

Tags

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