Comment out date filtering in app.py to allow selection of today's date in the date options. This change enhances user flexibility in date selection for the duplication frame.

Update pagination button labels in app.py for duplication frame

Implement user selection and pagination for duplication frame in app.py

Add dupe formatting for duplication frame in app.py

Add unique and under-5/under-10 duplicate counts to duplication frame in app.py

Enhance duplication frame visualization in app.py

Refine error message and enhance duplication frame metrics in app.py

Add error handling for contest retrieval in app.py

Update duplication frame in app.py to include 'dupes' and 'average_dupes' metrics

Update duplication metrics in app.py to include average duplicates

Enhance duplication metrics in app.py and create_general_exposures.py

Enhance general exposures calculation in create_general_exposures.py

Add unique and under-5 duplicate counts to working_df in app.py

Refactor lineup replacement logic in load_contest_file.py

Enhance lineup processing in load_contest_file.py

Update sport selection options in app.py to include NHL

Refactor player position selection in app.py

Update filtering instructions and button functionality in app.py

Enhance reset functionality in app.py

Refactor reset button functionality in app.py

Implement enhanced reset functionality in app.py

Update column layout in app.py for improved UI spacing

Add reset functionality to player selection in app.py

Update sport selection options in app.py to streamline user choices

Refactor player selection logic in app.py for improved filtering accuracy

Enhance player selection functionality in app.py for improved filtering

Refactor stack size selection in app.py for improved user experience

Update stack size filtering in app.py to drop missing values

Comment out stack size handling in app.py for future review

Refactor stack size handling in app.py for improved clarity

Update stack size handling in app.py to ensure consistent data types

Update stack size filtering in app.py to handle missing values

Refactor stack size filtering logic in app.py for improved functionality

Enhance input field labels and filtering logic in app.py for better clarity

Update selection prompts in app.py for clarity and consistency

Refactor input fields in app.py for enhanced user experience

Enhance player and team selection interface in app.py

Update sport selection options in app.py to enhance user choices

Update selection options in app.py to improve user experience

Comment out player mapping and deduplication in load_contest_file.py to prevent unintended data alterations. This change allows for flexibility in data processing while maintaining the existing structure for future adjustments.

Enhance player data processing in load_contest_file.py by applying mapping and deduplication to both df_helper and df dataframes. This change ensures consistent player information handling across different dataframes, improving data integrity.

Refactor contest name handling in app.py to combine contest names with their corresponding dates. Removed the contest ID map from the return values of grab_contest_names function to streamline data retrieval, while maintaining the necessary information for subsequent processing.

Remove plotly from requirements.txt to streamline dependencies and reduce package size.

Refactor player information handling in app.py by removing redundant error handling for contest ID filtering. Streamlined session state management for salary, team, and position dictionaries to enhance code clarity and maintain functionality.

Add error handling for contest file upload in app.py

Remove table display of salary and cleaned contest data in app.py and load_contest_file.py for a cleaner user interface. This change streamlines the data presentation by eliminating unnecessary table outputs while maintaining existing functionality.

Update salary and actual fantasy points calculations in app.py to apply a 1.5x multiplier for the first player in each row. This change enhances the accuracy of player evaluations in the data processing workflow.

Add handling for 'Showdown' contest type in load_contest_file.py

Refactor player information retrieval in app.py to include contest name and ID map parameters in grab_contest_player_info function calls. This change enhances data accuracy by ensuring the retrieval process is aligned with specific contest details.

Enhance player information retrieval in app.py by adding contest name and ID map parameters to grab_contest_player_info function. Implemented error handling to filter player data based on contest ID for improved accuracy and data integrity.