- 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.
- Added `ba_auto/tasks/gem_shop.py` to automate claiming the daily free package from the gem shop.
- Integrated color probes for state detection instead of template matching.
- Updated `ba_daily.py` to include the new gem shop task in the default execution order.
- Documented the implementation and calibration process in `plan.md`, including live testing results and fixes for dialog handling.
- Addressed potential bugs related to dialog state verification and tab layout changes.
- 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.
- Created ba_auto/tasks/bounty.py to handle the Bounty task, simplifying the original reference's per-call loop to a single area sweep based on date-ordinal-modulo rotation.
- Live-calibrated against nik-gpu on 2026-07-11, ensuring zero real tickets were spent during testing.
- Adjusted entry point to directly access the Work-hub card for Bounty, eliminating unnecessary navigation steps.
- Implemented logic to confirm the latest stage available in each area, ensuring all stages are SSS-cleared.
- Fixed bugs related to ticket count handling and result button detection, preventing unintended real-currency prompts.
- Updated ba_daily.py to include the new bounty task in the task flow.
- Documented the implementation and testing process in plan.md, detailing live tests and fixes applied.
- Added `find_template` and `template_visible` functions for template matching in screenshots.
- Introduced `read_int_white_on_dark` for OCR of bright text on dark backgrounds.
- Ported arena functionality from reference, including ticket management, opponent selection, and reward collection.
- Implemented safety checks for modal visibility and result confirmation to prevent unintended ticket spends.
- Live-tested the arena task, confirming functionality across multiple tickets with real fight outcomes.
- Updated mapping documentation to reflect new arena task implementation and its unique navigation requirements.
- Added `lesson.py` to handle the scheduling of lessons based on affection values.
- Integrated OCR functionality to read affection counts from heart badges.
- Updated `README.md` to include the new lesson task in the task status section.
- Enhanced `config.py` with necessary configurations for the lesson task.
- Modified `detector.py` to include a new function for reading heart badge values accurately.
- Updated `mapping.md` to reflect the new lesson task implementation.
- Adjusted `ba_daily.py` to include the lesson task in the command dispatch.
- Updated `plan.md` to document the completion of the lesson task and its testing outcomes.
- Modified `setup.sh` to include the lesson task in the run command instructions.
- Introduced `story_sweep.py` for Normal/Hard story AP sweeping, allowing users to spend AP on randomly selected stages.
- Updated `CLAUDE.md` to clarify the OCR policy, emphasizing the need to port OCR-driven logic from the reference implementation rather than substituting with non-OCR methods.
- Modified `README.md` and `plan.md` to reflect the new story sweep feature and its operational details.
- Adjusted `setup.sh` to include the new command for running the story sweep.
- Enhanced `driver.py` with a new scroll function for better interaction with the game UI.
- Updated configuration mappings in `config.py` to support the new story sweep functionality.
- Refined existing task modules to ensure consistent state verification and error handling.
- Changed directory labels from ".scratchpad/" to "scratchpad/" in graph.json and related documentation for consistency.
- Updated plan.md to reflect the current status of the Stamina/AP task migration, including details on the mission claim process and identified bugs.
- Modified setup.sh to include 'stamina' in the run command options for the daily script.
