Refactor portfolio storage in session state to use compressed format directly

Add memory optimization functions and implement chunked processing for name matching in app.py

Add error handling for position replacement in CSV loading process for Fanduel site. This ensures that any exceptions during the replacement of 'D' with 'DST' are gracefully handled without interrupting the flow.

Update requirements.txt to include scipy and ensure matplotlib is listed correctly

Add memory-efficient ranking calculation in predict_dupes.py

Update diversity score calculation to use chunked processing for improved performance in predict_dupes.py

Implement chunked processing for player similarity score calculation to enhance memory efficiency in predict_dupes.py

Refactor session state management by removing unnecessary copy operations for origin and working portfolios.

Add smart memory management to optimize session state handling and include psutil in requirements

Refine position replacement logic in CSV loading process to apply only when site_var is 'Fanduel'.

ping

ping

removed prints

ping

Added replacement for 'D' to 'DST' in Roster Position column of CSV template and included a print statement for verification.

finalized dupe math, maintaining on staging

another small adj

SMALL adj

Update dupes calculation in 'predict_dupes.py' by changing the denominator in the scaling factor for CPT_Own_percent_rank from 100 to 90, aiming to further enhance prediction accuracy.

Adjust dupes calculation in 'predict_dupes.py' by modifying the salary scaling factor from 0.96 to 0.98, aiming to enhance prediction accuracy.

ping

contintuing with dupe prediction adj

ping

Remove table display in 'app.py' and adjust dupes calculation in 'predict_dupes.py' to include a new scaling factor for CPT_Own_percent_rank, enhancing prediction accuracy.

ping

Update dupes calculation in 'predict_dupes.py' to adjust the scaling factor for CPT_Own_percent_rank, enhancing the precision of predictions.

Refine dupes calculation in 'predict_dupes.py' by incorporating CPT_Own_percent_rank for improved accuracy in predictions.

printing a check frame

printing check frame

debugging

ping

continuing to adjust dupe predictions

continuing to adjust dupe predictions

Update dupes calculation formula in 'predict_dupes.py' to use salary for scaling instead of max_salary, improving accuracy of predictions.

adjusting dupe prediction formula

Add debug print statements in 'predict_dupes.py' to log key variables during calculation, aiding in the validation of the dupes calculation process.

removing Fanduel specific logic from Predict Dupes

checking a debug

ping

Refactor multiselect options in 'Manage Portfolio' section of 'app.py' to remove unnecessary sorting, improving performance and clarity in player and team selection.

extending display frame

Remove debug print statements from 'app.py' to streamline data loading process and enhance code clarity, while retaining essential data validation steps in 'load_ss_file.py'.

Add debug print statements in 'load_ss_file.py' to log NaN counts after replacing 0 with NaN, enhancing data validation during file loading.

Remove redundant NaN logging from 'Data Load' section of 'app.py' and add initial data load debug statements in 'load_ss_file.py' to enhance data validation and transparency during file loading.

Add additional logging in 'Data Load' section of 'app.py' to display total rows, NaN counts per column, and samples of rows with NaN values, enhancing data validation during file loading.

Add debug print statements in 'Data Load' section of 'app.py' to log the count of missing values in the portfolio for improved data validation during file loading.

Add debug print statement in 'Data Load' section of 'app.py' to log the count of missing values in the portfolio, aiding in data validation during file loading.

Add comment in 'Manage Portfolio' section of 'app.py' regarding potential changes to Showdown position handling, indicating future considerations for CPT/FLEX options.

Update 'Manage Portfolio' section in 'app.py' to source specific positions from 'player_columns' instead of 'working_frame', improving data accuracy for user selections.

Refactor player comparison logic in 'exposure_spread' function to streamline conditions based on 'type_var', ensuring accurate filtering for Showdown scenarios while maintaining existing functionality.