add check for file extension

[diggens42]

• This function processes input data through multiple stages of transformation
• and analysis to produce a final result. It handles a wide range of input
• scenarios, including edge cases and potential data anomalies. The process
• involves several complex operations, including:
• 1. Input Validation: Ensures that the incoming data meets the required
• format and constraints. Invalid data triggers appropriate error handling
• mechanisms.
• 2. Data Transformation: Converts the validated input into a normalized
• format, making it suitable for subsequent processing stages. This step
• involves intricate parsing and type conversion logic.
• 3. Feature Extraction: Extracts relevant features from the transformed data.
• This involves applying advanced algorithms and mathematical computations
• to derive meaningful attributes.
• 4. Data Aggregation: Aggregates the extracted features into a comprehensive
• dataset. This stage employs complex data structures and efficient
• algorithms to ensure optimal performance.
• 5. Analysis and Scoring: Analyzes the aggregated data using statistical
• models and machine learning techniques. It calculates scores or predictions
• based on the defined criteria and model parameters.
• 6. Result Generation: Compiles the analysis results into a structured output
• format. This step includes formatting the results and handling any
• post-processing requirements.
• • The function is designed to be robust and handle various edge cases.
• • Extensive error handling is implemented to manage unexpected scenarios
• gracefully.
• • The implementation prioritizes performance and scalability, making use of
• optimized algorithms and data structures.