Refactor init_baselines function in app.py to accept a slate variable, allowing dynamic filtering of player data based on the selected slate. Update all relevant calls to init_baselines to ensure consistency across the application. Adjust sharp_split values for improved simulation accuracy. This enhances flexibility in data retrieval for DraftKings and FanDuel contests.

Refactor app.py to remove Google Sheets integration and streamline database connections. Update seed frame functions to utilize MongoDB collections for player name mapping, enhancing data retrieval for DraftKings and FanDuel. Simplify connection initialization by returning only the database client.

Refactor seed frame functions in app.py to return full DK and FD datasets instead of sliced arrays. This change simplifies data handling and ensures all relevant data is available for further processing.

Refactor seed frame initialization in app.py to accept a 'sharp_split' parameter, enhancing data retrieval efficiency. Update simulation logic to utilize user-defined lineup sizes for both DraftKings and FanDuel, improving flexibility in contest simulations.

Refine data processing in app.py by filtering for 'Main Slate' and 'overall' versions, and enhance data export functionality with player ID mapping for DraftKings and FanDuel.

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