Enhance export options in app.py: introduce a selection for 'Simple' or 'Advanced' download types, allowing users to choose between direct portfolio export or customized stack adjustments, improving flexibility and user experience during data export.

Adjust column widths in filter options of app.py: modify the layout to improve the visual balance and user experience in the filter options section.

Update export file handling in app.py: add logic to initialize the export file from the portfolio when no export file exists, enhancing data management and ensuring a seamless user experience during portfolio updates.

Update download button logic in app.py: modify the export file availability check to ensure the download button is only shown when the export file exists, improving user experience and preventing errors during download attempts.

Refactor portfolio copy handling in app.py: simplify the logic for creating a portfolio copy and streamline export file updates, enhancing data management and user experience during portfolio interactions.

Refactor portfolio export logic in app.py: streamline the concatenation of selected rows and update the export file handling, improving data management and user experience during portfolio updates.

Improve download button error handling in app.py: add try-except block to display an error message when no portfolio is available for download, enhancing user experience and preventing crashes during download attempts.

Update download button logic in app.py: ensure the download button for the portfolio is only displayed when the export file is available, improving user experience and preventing errors during download attempts.

Refactor selected rows handling in app.py: streamline the process of selecting and displaying top rows for each stack, enhancing user interaction and visibility of portfolio data.

Add table display for combined portfolio in app.py: enhance user experience by showing the combined selected rows in a table format, improving visibility and interaction with the portfolio data.

Add table display for portfolio copy in app.py: enhance user experience by showing the portfolio data in a table format, improving visibility and interaction with the portfolio information.

Add table display for updated portfolio in app.py: enhance user feedback by showing the export file after submission, improving visibility of changes made to the portfolio.

Add portfolio download functionality in app.py: store a copy of the sorted portfolio for download, improving user access to portfolio data after updates.

Refactor portfolio handling in app.py: remove unnecessary portfolio copy logic and streamline download options, enhancing data management and user experience during portfolio updates.

Enhance trimming options in app.py: add informational prompt for filtering before trimming and update portfolio copy logic to ensure correct data handling during download, improving user guidance and functionality.

Implement portfolio reset feature in app.py: add functionality to restore the original portfolio state and streamline the reset process for improved user experience in managing projections.

Refactor portfolio reset functionality in app.py: streamline the reset process by removing redundant filtering logic, ensuring a more efficient and clearer portfolio management experience.

Update selectbox labels in app.py: change "Select sort type" to "Select Sorting variable" and "Select trimming variable type" to "Select trimming variable" for improved clarity in user interface.

Enhance portfolio reset functionality in app.py: implement comprehensive filtering options for salary, finish percentile, and player selections, and update predict_dupes function to calculate 'Weighted Own' for improved accuracy in portfolio management.

Update reset button implementation in app.py: change button to use a unique key for state management, ensuring proper functionality in the trimming options section.

Add reset functionality for portfolio in app.py: store original portfolio state and implement reset button to restore it, enhancing user experience during trimming options.

Enhance portfolio trimming logic in app.py: add comprehensive filtering options based on salary, finish percentile, and player selections, and update predict_dupes function to adjust 'Product Own' calculation for improved accuracy.

Remove unused import of gmean from app.py and predict_dupes.py for cleaner code and improved performance.

Update trimming options in app.py: replace 'Geomean' with 'Product Own' for portfolio calculations, and ensure trimming logic is executed only upon form submission for improved user experience.

Refactor trimming options in app.py: encapsulate trimming selections within a form for better user interaction, and update the submission button for clarity in the trimming process.

Enhance portfolio filtering and trimming options in app.py: introduce expandable sections for filter and trimming options, update portfolio trimming logic to support geomean calculations, and improve export functionality with stack count adjustments.

Refactor portfolio filtering logic in app.py: streamline conditions for portfolio adjustments based on user selections, and ensure calculations are only performed when necessary. Add stack count adjustments for export options.

Update dataframe display logic in app.py: use current_page_data for improved clarity in pagination rendering.

Refactor pagination logic in app.py: move dataframe display to the correct position for improved user experience and clarity.

Add 'Trim Portfolio' button in app.py and implement trim_portfolio function in new global_func/trim_portfolio.py

Update site selection logic in app.py: move 'Select Site' dropdown above 'Clear data' button and adjust minimum lineup edge input precision.

Refactor portfolio loading logic in app.py: ensure portfolio is only loaded if not already in session state, and add minimum lineup edge input for filtering.

Refactor Streamlit UI in app.py: reorganize layout for clearer user interaction and restore 'Clear data' button functionality.

Add initial Streamlit application with data loading, portfolio management, and optimization features