- Added `login.py` to handle the login process, including detection of various states such as the title screen, network error notices, loading transitions, daily attendance cards, and the home screen.
- Integrated a recovery mechanism to relaunch the game if it gets stuck during loading.
- Updated `ba_daily.py` to include the login task in the default execution order, ensuring it runs first to navigate to the home screen before other tasks.
- Fixed a bug in the home detection logic to accurately identify when the user is on the true home screen.
- Live-tested and calibrated the login flow against real game states, confirming functionality and addressing any issues encountered during testing.
- Updated arena.py to allow multiple battles per invocation, looping until tickets are exhausted or a rank-1 condition is met. Introduced _fight_one function for single battle logic and added cooldown handling between fights.
- Enhanced lesson.py to implement a tiered priority system for scheduling lessons based on student slots available, replacing the previous highest affection value selection. Introduced functions for scanning all regions and building a priority queue for lesson scheduling.
- Centralized return-to-home logic in ba_daily.py to ensure the game returns to the home screen before and after each task, improving robustness against navigation issues.
- Added retry mechanism for returning to home, allowing for transient navigation issues to be handled gracefully without aborting tasks.
- Added `wait_for_state` function in `navigation.py` for state monitoring and reaction handling.
- Updated `mapping.md` to reflect changes in story sweep implementation and OCR usage.
- Refactored `story_sweep.py` to utilize OCR for region and stage identification, replacing random selection with configured targets.
- Enhanced modal handling and confirmation checks for AP usage in `story_sweep.py`.
- Updated setup script to require `tesseract` for OCR functionality and included installation instructions.
- Revised `plan.md` to document the transition from heuristic to OCR-based stage targeting and the associated findings from live testing.
