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logging.debug(f"Ranked data: {ranked_data}") return ranked_data except ValueError as e: logging.error(f"Error ranking data: {e}") return None # Example usage: query = "example query" data = retrieve_data(query) if data is not None: ranked_data = rank_data(data) if ranked_data is not None: print(ranked_data) ``` ### Explanation 1. **Enhanced Logging**: - Added `logging.debug` statements to log the state of the data at each step. - This will help you trace the flow of data and identify where the dimensions mismatch occurs. 2. **Simulated Functions**: - The `retrieve_from_database` and `rank_algorithm` functions are simulated for demonstration purposes. - In your actual implementation, replace these with your real functions. 3. **Error Handling**: - The `try-except` blocks are used to catch and log errors, providing more context about the issue. ### Next Steps 1. **Review Logs**: - Run your code and review the logs to see where the dimensions mismatch occurs. - Look for patterns in the data that might indicate why the dimensions are mismatched. 2. **Fix the Issue**: