Enhance multi-instance manager stability and user experience

[AbyssRei]

This pull request introduces a series of improvements and refinements across the codebase, focusing on UI adjustments, usability enhancements, timeout logic, and code robustness. The changes include more flexible and maintainable CSV header generation, improved device selection logic, more responsive and informative login handling, and several UI/UX tweaks for better user experience.

Most important changes:

UI/UX Improvements:

• Increased the number of columns in the input panel grid and reduced image and input field sizes for a more compact layout (input_panel_ui.py). [1] [2] [3]
• Refactored the main window layout: adjusted window size, reorganized control panel buttons, added a prediction toggle checkbox that enables/disables related features, and improved signal handling for button states (main.py). [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11]

Data Handling and Logging:

• Simplified and made CSV header generation more robust by using a helper function and configuration constants instead of relying on the recognizer's runtime properties (auto_fetch.py).
• Standardized statistics and log messages for clarity and consistency in both the main UI and log files (auto_fetch.py, main.py). [1] [2]

Timeouts and Robustness:

• Revised timeout logic for auto-fetching data: increased non-battle timeout to 50s and decreased battle timeout to 120s, now applied globally regardless of state; improved logging for timeout events (auto_fetch.py).
• Improved error handling in the auto-fetch loop with better exception logging and adjusted sleep interval for performance (auto_fetch.py). [1] [2]

Device and Model Handling:

• Changed device selection logic to only use the specified device, avoiding unintended automatic selection of any available device (loadData.py).
• Ensured that the prediction model is only used if enabled by the user, and that the invest checkbox is disabled if prediction is turned off (main.py, auto_fetch.py). [1] [2] [3]

Login and Workflow Enhancements:

• Enhanced login handling: improved wait logic with periodic checks, more efficient detection of game screens, and robust handling of pop-ups with retries and timeouts (login.py). [1] [2]

Other minor changes include improved zip filename formatting (data_package.py).