Refactor analyze_variability_json to streamline top 10 results extraction by consolidating DataFrame operations. Update UI button click handling to ensure consistent output across UI and MCP functionalities.
Enhance JSON parsing in detect_trends_with_forecast_json to include metadata and structured results. Update analyze_variability_json to return only relevant columns for top variability entries, improving clarity and data presentation.
Add .venv and .vscode to .gitignore; refactor global variables in app.py for improved clarity and consistency. Update load_from_supabase function to initialize INITIAL_CHOICES and enhance UI dropdown with relevant process names.
Refactor lag matrix index handling in forecast_process_with_lag function to improve process name matching. This change enhances the robustness of data retrieval by ensuring accurate indexing, while also removing unused initialization code for UI loading, streamlining the application logic.
Refactor process name handling in app.py to normalize process names for consistency across data comparisons. This change enhances data integrity in trend detection and forecasting functions, ensuring accurate results when matching process names.
Initialize process_selector with empty choices and implement loading from Supabase to update UI dynamically. This enhancement improves user experience by ensuring the dropdown is populated with relevant process names upon loading.
Update process_selector in app.py to enhance UI functionality by allowing custom values and updating the label for clarity. This change improves user interaction and ensures a more flexible selection process.
Update app.py to correct Supabase fixed file description in the main comment. This change clarifies the purpose of the application while maintaining existing functionality.
Remove manifest.json file as it is no longer needed for the application. This cleanup helps streamline the project structure and eliminates outdated configurations.
Fix print statements in diagnose_process_range_json function for correct syntax. Updated to use proper formatting for outputting variable values, enhancing readability in the console logs.
Enhance documentation for diagnose_process_range_json function in app.py. Expanded docstring to include detailed descriptions of parameters, return values, and internal processing notes, improving clarity and usability for future development.
Refactor app.py to remove unused process_input_free textbox and update input handling for MCP functions. Replaced references to process_input_free with process_selector in the run button click events, streamlining the UI and improving code clarity.
Update app.py to include JSON output in the diagnose_process_range_json function. This change enhances the output handling by ensuring that the results are properly returned, improving the overall user experience in the application.
Enhance diagnose_process_range_json to improve JSON parsing and error handling. Added checks for valid JSON strings and implemented fallback logic for DataFrame conversion. Updated summary handling to provide clearer user feedback in case of missing results.
Refactor diagnose_process_range_json to prioritize JSON output from core processing. Added logic to return JSON directly if available, with a fallback to DataFrame conversion. This improves response handling and maintains consistency in data representation.
Enhance error handling in diagnose_process_range_json by ensuring the response always includes a results key. Updated the error response structure to include metadata and a summary, improving clarity and consistency in error reporting.
Refactor diagnose_process_range_json to return a dictionary directly with enhanced error handling. Updated comments for clarity on JSON serialization by MCP, improving response structure and user feedback.
Update MCP button functionality in app.py to remove unnecessary UI output, streamlining the interaction process. This change enhances the user experience by focusing on essential outputs.
Refactor diagnose_process_range_json to return a dictionary directly, improving response structure and error handling. Updated docstring to clarify functionality and added error response formatting for better user feedback.
Update diagnose_process_range_json to return JSON strings instead of dictionaries, enhancing data consistency in responses. Modify error handling to ensure error messages are also returned as JSON strings, improving clarity in error reporting.
Refactor diagnose_process_range_json to return a raw dictionary instead of a JSON object, simplifying the response structure. Update error handling to return a dictionary directly, enhancing clarity and consistency in error reporting.
Enhance error handling in diagnose_process_range_json by wrapping the core logic in a try-except block. This change ensures that any exceptions are caught and returned as a structured JSON error response, improving robustness and user feedback in the Gradio application.
Refactor diagnose_process_range_json in app.py to streamline the return of JSON responses. Removed the detailed docstring and simplified the function signature while ensuring the output is now a JSON object instead of a string, enhancing data handling and integration with Gradio components.
Enhance diagnose_process_range_json in app.py to return a structured JSON response containing process metadata and results. Introduced a helper function to convert DataFrames to records, improving data representation and clarity in the output.
Refactor app.py to separate UI and MCP process input handling. Introduce a new textbox for MCP input while enhancing the dropdown for UI selection. This change improves clarity and usability in the Gradio application.
Enhance process_selector in app.py to allow custom values in the dropdown, improving user flexibility in selecting process names. This update ensures a more dynamic and user-friendly interface within the Gradio application.
Enhance documentation and refactor function signatures in app.py for improved clarity. Update the diagnose_process_range_ui and diagnose_process_range_json functions to include detailed docstrings and better formatting, ensuring consistency and maintainability.
Update process_selector in app.py to dynamically prepare dropdown choices based on thresholds_df, enhancing user experience by ensuring relevant process names are displayed. This change improves the initialization of UI components within Gradio Blocks context.
Refactor app.py to enhance Supabase client initialization and error handling. Introduce a new function for client creation, update file path handling to use a temporary directory, and improve documentation for clarity. Update .gitignore to include the tmp directory.
Refactor app.py to improve UI component initialization by updating dropdown choices dynamically with gr.update, ensuring proper execution within Gradio Blocks context. Enhance clarity in function signatures and documentation for better maintainability.
Enhance type hinting and documentation in app.py functions for improved clarity and maintainability. Update function signatures for convert_value, normalize, find_matching_column, load_from_supabase, judge_status, diagnose_process_range, detect_trends_with_forecast, forecast_process_with_lag, robust_mad, and analyze_variability to include return types and detailed docstrings.
Refactor init_load function placement in app.py to ensure proper execution within Gradio Blocks context, enhancing UI component initialization on app load.
Refactor file loading logic to initialize UI components on app load. Update load status and process selector dropdown dynamically based on Supabase data.
Update environment variable handling for file paths in Supabase integration. Change CSV, Excel, and lag file variables to use dynamic paths from .env, enhancing flexibility in file loading functions.
Integrate Supabase for file loading in Gradio app, replacing local file input with cloud storage access. Update environment variable handling and enhance file loading functions for CSV, Excel, and lag files. Modify UI to reflect changes and ensure process name dropdown updates dynamically.
