Enhance detect_trends_with_forecast function by adding downsample_factor parameter for improved data handling and forecasting accuracy. Adjusted interval calculations and updated Gradio interface to allow user input for downsampling. Improved output structure to include effective interval in results.
Enhance forecast_process_with_lag function to include downsample_factor parameter for improved data aggregation. Refactor data handling for better clarity and performance, including adjustments to the prediction risk assessment and output structure. Update Gradio interface to accommodate new parameter for user input.
Refactor diagnose_process_range function to remove file input parameters and utilize global variables for dataframes. Improved column access logic and streamlined data aggregation for important items. Enhanced JSON output formatting for clarity.
Refactor diagnosis process to improve file handling and error reporting. Enhanced data aggregation for important items and added detailed JSON output for item-wise analysis. Updated function parameters for better clarity.
Update Gradio app to include detailed output for important items in diagnosis results. Added a new Dataframe for important item state aggregation and adjusted output parameters for the diagnosis process.
Enhance Gradio app with integrated threshold diagnosis, trend detection, and anomaly analysis features. Added file loading functionality, improved data processing, and refined UI components for better user experience.