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Validates and ensures that analysis results for a given session are properly stored in the database and accessible, performing consistency checks on generated files.

Purpose

This function serves as a consistency verification mechanism for analysis sessions. It retrieves session data, checks if results are accessible, counts and categorizes generated files, and logs diagnostic information. It's typically used after analysis completion to ensure data integrity across different application routes and to verify that all expected artifacts are present and retrievable.

Source Code

def ensure_analysis_results_consistency(session_id: str):
    """Ensure analysis results are properly stored and accessible from both routes"""
    try:
        # Force a refresh of the session results to ensure consistency
        session = analysis_service.database_manager.get_session(session_id)
        if not session:
            logger.warning(f"Session {session_id} not found during consistency check")
            return False
            
        # Check if results are accessible
        results = analysis_service.get_session_results(session_id)
        generated_files = analysis_service._get_generated_files_info(session_id)
        
        logger.info(f"Consistency check for session {session_id}: {len(generated_files)} files found")
        
        # Log the types of files found for debugging
        file_types = {}
        for file_info in generated_files:
            file_type = file_info.get('type', 'unknown')
            file_types[file_type] = file_types.get(file_type, 0) + 1
            
        logger.info(f"File types in session {session_id}: {file_types}")
        
        return len(generated_files) > 0
        
    except Exception as e:
        logger.error(f"Error in consistency check for session {session_id}: {str(e)}")
        return False

Parameters

Parameter Details

session_id: A string identifier for the analysis session to check. This should be a valid session ID that exists in the database, typically a UUID or similar unique identifier generated when an analysis session is created.

Return Value

Returns a boolean value: True if the session has generated files (indicating successful analysis with accessible results), False if the session is not found, has no generated files, or if an error occurs during the consistency check. The function prioritizes returning False for any failure condition.

Dependencies

• logging

Required Imports

import logging

Usage Example

# Assuming analysis_service and logger are already configured in the module
# Example 1: Check consistency after analysis completion
session_id = "abc123-def456-ghi789"
is_consistent = ensure_analysis_results_consistency(session_id)
if is_consistent:
    print(f"Session {session_id} has valid results")
else:
    print(f"Session {session_id} has issues or no results")

# Example 2: Use in a Flask route after analysis
@app.route('/verify_analysis/<session_id>')
def verify_analysis(session_id):
    if ensure_analysis_results_consistency(session_id):
        return jsonify({"status": "success", "message": "Results are consistent"})
    else:
        return jsonify({"status": "error", "message": "Consistency check failed"}), 500

Best Practices

• Always call this function after completing an analysis to ensure results are properly stored before allowing user access
• Use the returned boolean to determine whether to proceed with result display or show an error message to users
• Monitor the logs generated by this function to identify patterns in file generation and potential storage issues
• This function is read-only and safe to call multiple times without side effects
• Ensure the analysis_service is properly initialized with a valid database_manager before calling this function
• Consider implementing retry logic if this function returns False, as temporary database connectivity issues might resolve
• The function logs detailed information about file types found, which is valuable for debugging missing or incorrect analysis artifacts
• Handle the False return value gracefully in user-facing code to provide meaningful error messages

Tags

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