Update cache duration in init_team_data function in app.py from 100 to 60 seconds to optimize data retrieval efficiency. This change aims to balance performance and resource usage during data analysis.

Refactor date input handling in app.py to improve date selection logic. Updated date filtering to ensure proper date formatting and consistency, allowing for seamless selection of date ranges including a "Last Year" option. This enhances user experience and data analysis capabilities.

Fix date parsing in init_conn function of app.py to include time component. Updated date format from "%Y-%m-%d" to "%Y-%m-%d %H:%M:%S" for accurate datetime object creation, enhancing data consistency in game logs retrieval.

Refactor date handling in init_conn function of app.py. Updated date retrieval to parse dates into datetime objects for improved consistency and accuracy in data analysis. This change enhances the reliability of date-related operations in the application.

Update cache duration in init_team_data function in app.py from 60 to 100 seconds to improve data retrieval efficiency. This change aims to enhance performance during data analysis by allowing a longer cache lifespan.

Refactor date input handling in app.py for improved date selection. Updated date filtering logic to ensure proper date formatting and consistency when selecting date ranges, enhancing user experience in the analysis tool.

Enhance date filtering options in team analysis. Added functionality to select date ranges for data analysis, including a "Last Year" option and a custom date range input. Updated init_team_data function to filter game logs based on selected dates, improving data relevance for analysis.

Update prediction inputs and enhance team data projection in app.py. Changed default values for predicted team kills and deaths. Added projected assists to team data output based on win/loss conditions, improving the analysis capabilities.

Refactor init_team_data function in app.py to streamline team data output. Added filtering to include only relevant columns and implemented dropna() and reset_index() for cleaner dataframe presentation.

Refactor team data display in app.py to include total CS metrics and improve formatting. Added display formats for percentage values and enhanced dataframe styling for better visualization in the analysis output.

Enhance team analysis functionality with sidebar options for team selection and prediction settings. Updated init_team_data function to incorporate win/loss predictions and display projected kills and deaths based on user input.

Initial commit loading app.py, app.yaml, and requirements.txt