Refactor UI layout and add custom tab styling

Update FanDuel lineup initialization collections

Simplify Showdown slate salary mapping for DraftKings and FanDuel

Update raw_baselines selection logic for Regular and Showdown slates

Remove player salary dictionary initialization

Refactor player salary mapping for site and slate-specific data selection

Optimize player frequency table generation in tab2

Refactor player salary mapping for both Regular and Showdown slates

Add player salary mapping to optimize data display and analysis

Modify init_DK_lineups and init_FD_lineups to support Regular and Showdown slate types

Enhance app.py: Add view mode selector and improve data display options

Refactor app.py: Reduce cache duration for init_baselines function from 600 seconds to 60 seconds. This change optimizes resource usage and ensures more frequent data updates, improving the responsiveness of the application.

Enhance app.py: Update player_roo_format to include additional ownership percentage formats ('5x%', '6x%', '7x%') for improved data representation. This change expands the formatting options available for player statistics, enhancing the clarity and detail of performance metrics.

Refactor app.py: Remove 'Timestamp' column from sd_roo_data in init_baselines function. This change simplifies the data structure returned, enhancing data management and processing efficiency.

Enhance app.py: Update init_baselines to return both roo_data and sd_roo_data. Adjusted data handling in the UI to support selection between "Full Slate" and "Showdown" types, improving user experience and data display functionality.

Update tab names in app.py for improved clarity. Changed the second tab label from "Not Ready Yet" to "Optimals and Exposures" to better reflect its functionality and enhance user experience.

Refactor app.py: Remove redundant logging statements in DK and FD lineup initialization functions. Cleaned up code by eliminating unnecessary "converting names" output, enhancing readability and reducing clutter in the application logs.

Refactor app.py: Correct ownership index references for DraftKings and FanDuel. Updated ownership calculations from index 9 to 8 for both sites, ensuring accurate data processing and consistency in ownership value retrieval.

Enhance app.py: Initialize DK and FD lineups. Added calls to init_DK_lineups and init_FD_lineups functions to fetch lineup data for DraftKings and FanDuel, improving data preparation for subsequent processing.

Refactor app.py: Correct column references for ownership calculations and site filtering. Updated DataFrame column names from 'site' to 'Site' for consistency and adjusted ownership index references from 12 to 9 for both DraftKings and FanDuel, ensuring accurate data processing.

Enhance app.py: Introduce DK and FD lineup initialization functions. Added init_DK_lineups and init_FD_lineups to fetch and process data for DraftKings and FanDuel, respectively. Updated data reset logic to clear session state and initialize lineups upon user action. Improved data export functionality and added player frequency analysis for better insights.

Refactor app.py: Enhance data initialization and timestamp handling. Updated init_baselines to return both processed data and timestamp, ensuring better data management. Adjusted references to the updated function throughout the code, including site selection logic and display updates.

Refactor app.py: Optimize data filtering for site selection. Updated the display logic to directly filter the hold_display DataFrame based on the selected site, improving performance and readability.

Refactor app.py: Simplify data processing and enhance site selection UI. Removed unnecessary data type conversion for player frame and improved select box label for site selection. Streamlined data filtering for display based on selected site.

Enhance app.py UI with site selection and dynamic data display. Added a select box for choosing between DraftKings and FanDuel, and updated the data display to filter based on the selected site. Improved layout with empty containers for better organization.

Refactor app.py to replace Google Sheets integration with MongoDB. Removed gspread and related credentials, added pymongo for database connection. Updated data retrieval methods to fetch data from MongoDB collections. Adjusted UI elements and cleaned up unused code.

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