- Added `simple_bubble_dedup.py` module using perceptual hashing (pHash) to detect duplicate chat bubbles based on visual similarity.
- System keeps recent N (default 5) hashes and skips bubbles with Hamming distance below threshold (default 5).
- Integrated into `run_ui_monitoring_loop()`:
- Hash is computed upon bubble snapshot capture.
- Duplicate check occurs before message enqueue.
- Sender info is optionally attached to matching hash entries after successful processing.
- Deduplication state is persisted in `simple_bubble_dedup.json`.
- F7 (`clear_history`) and F8 (`reset_state`) now also clear image-based hash history.
- Removed or commented out legacy `recent_texts` text-based deduplication logic.
This visual deduplication system reduces false negatives caused by slight text variations and ensures higher confidence in skipping repeated bubble interactions.
- Implemented `MessageDeduplication` class to suppress duplicate bot replies:
- Normalizes sender and message content for reliable comparison.
- Tracks processed messages with timestamp-based expiry (default 1 hour).
- Integrated into `run_ui_monitoring_loop()` with support for F7/F8-based history resets.
- Periodic cleanup thread purges expired entries every 10 minutes.
- Added new UI fallback handling logic to address post-update game state changes:
- Detects `chat_option.png` overlay before bubble detection and presses ESC to dismiss.
- Detects `update_confirm.png` when chat room state is unavailable and clicks it to proceed.
- Both behaviors improve UI stability following game version changes.
- Updated `essential_templates` dictionary and constants with the two new template paths:
- `chat_option.png`
- `update_confirm.png`
These improvements reduce redundant bot responses and enhance UI resilience against inconsistent or obstructed states in the latest game versions.
Refactor keyword detection with dual-template matching and coordinate correction
- Overhauled `find_keyword_in_region` in `DetectionModule` to act as a wrapper for a new dual-method detection system.
- Introduced `find_keyword_dual_method`, now the default detection method (enabled via `use_dual_method=True`):
- Performs template matching (`cv2.matchTemplate`) on both grayscale and CLAHE-enhanced versions of screenshots and templates.
- Handles inverted images (`cv2.bitwise_not`) for robustness under dark/light themes.
- Coordinates returned by matching are corrected from relative region space to absolute screen coordinates to match `pyautogui`.
- Combines matching results using a tiered fallback system:
1. Prefer overlapping results from both methods within a pixel threshold.
2. Fallback to high-confidence single-method results.
- Maintains `_find_keyword_legacy` for backward compatibility using `pyautogui.locateAllOnScreen`.
- Simplified keyword template set to focus on three core types: `keyword_wolf_lower`, `keyword_Wolf_upper`, and `keyword_wolf_reply`.
- Integrated runtime performance tracking via counters and `print_detection_stats()` for debugging and optimization.
- Adds debug visualization at `DEBUG_LEVEL >= 3` to save processed images and detected points for analysis.
- Improves detection robustness across varying lighting, contrast, and UI themes while maintaining precise click alignment.
This upgrade significantly strengthens keyword recognition reliability and unifies coordinate handling across all detection phases.
- Introduced a new bubble detection method based on color-based connected components ("island detection").
- Operates in a predefined region (150, 330, 600, 880) using HSV color masks.
- Mask settings and area thresholds per bubble type (user, bot, etc.) are configurable via `bubble_colors.json`.
- Supports optional image downscaling for performance; thresholds scale accordingly.
- Default setting remains off (`self.use_color_detection = False`), can be enabled manually in `DetectionModule`.
- Added keyword image matching for "wolf"/"Wolf" within detected bubbles.
- Improved precision in reply content extraction and sender identification by relocating based on snapshot offsets.
- Removed redundant portions of the system prompt to reduce token usage and improve response clarity.
- Modularized and simplified configuration for bubble type addition and detection tuning.
Add ESC fallback actions, improve empty LLM reply handling, and provide ChromaDB backup scripts
- Implemented additional ESC key actions to help close unexpected homepage advertisements that previously could not be dismissed.
- Improved canned response handling when LLM returns empty or null replies, ensuring smoother conversational flow.
- Added optional utility scripts for backing up and restoring ChromaDB memory storage.
- These changes aim to enhance system robustness, reduce interruption from UI anomalies, and provide better data management options.
