# ui_interaction.py # Refactored to separate Detection and Interaction logic. import pyautogui import cv2 # opencv-python import numpy as np import pyperclip import time import os import collections import asyncio import pygetwindow as gw # Used to check/activate windows import config # Used to read window title import queue from typing import List, Tuple, Optional, Dict, Any # --- Configuration Section --- SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__)) TEMPLATE_DIR = os.path.join(SCRIPT_DIR, "templates") os.makedirs(TEMPLATE_DIR, exist_ok=True) # --- Debugging --- DEBUG_SCREENSHOT_DIR = os.path.join(SCRIPT_DIR, "debug_screenshots") MAX_DEBUG_SCREENSHOTS = 5 os.makedirs(DEBUG_SCREENSHOT_DIR, exist_ok=True) # --- End Debugging --- # --- Template Paths (Consider moving to config.py or loading dynamically) --- # Bubble Corners CORNER_TL_IMG = os.path.join(TEMPLATE_DIR, "corner_tl.png") # CORNER_TR_IMG = os.path.join(TEMPLATE_DIR, "corner_tr.png") # Unused # CORNER_BL_IMG = os.path.join(TEMPLATE_DIR, "corner_bl.png") # Unused CORNER_BR_IMG = os.path.join(TEMPLATE_DIR, "corner_br.png") # --- Additional Regular Bubble Types (Skins) --- CORNER_TL_TYPE2_IMG = os.path.join(TEMPLATE_DIR, "corner_tl_type2.png") # Added CORNER_BR_TYPE2_IMG = os.path.join(TEMPLATE_DIR, "corner_br_type2.png") # Added CORNER_TL_TYPE3_IMG = os.path.join(TEMPLATE_DIR, "corner_tl_type3.png") # Added CORNER_BR_TYPE3_IMG = os.path.join(TEMPLATE_DIR, "corner_br_type3.png") # Added # --- End Additional Regular Types --- BOT_CORNER_TL_IMG = os.path.join(TEMPLATE_DIR, "bot_corner_tl.png") # BOT_CORNER_TR_IMG = os.path.join(TEMPLATE_DIR, "bot_corner_tr.png") # Unused # BOT_CORNER_BL_IMG = os.path.join(TEMPLATE_DIR, "bot_corner_bl.png") # Unused BOT_CORNER_BR_IMG = os.path.join(TEMPLATE_DIR, "bot_corner_br.png") # --- Additional Bot Bubble Types (Skins) --- # Type 2 BOT_CORNER_TL_TYPE2_IMG = os.path.join(TEMPLATE_DIR, "bot_corner_tl_type2.png") BOT_CORNER_BR_TYPE2_IMG = os.path.join(TEMPLATE_DIR, "bot_corner_br_type2.png") # Type 3 BOT_CORNER_TL_TYPE3_IMG = os.path.join(TEMPLATE_DIR, "bot_corner_tl_type3.png") BOT_CORNER_BR_TYPE3_IMG = os.path.join(TEMPLATE_DIR, "bot_corner_br_type3.png") # --- End Additional Types --- # Keywords KEYWORD_wolf_LOWER_IMG = os.path.join(TEMPLATE_DIR, "keyword_wolf_lower.png") KEYWORD_Wolf_UPPER_IMG = os.path.join(TEMPLATE_DIR, "keyword_wolf_upper.png") KEYWORD_wolf_LOWER_TYPE3_IMG = os.path.join(TEMPLATE_DIR, "keyword_wolf_lower_type3.png") # Added for type3 bubbles KEYWORD_Wolf_UPPER_TYPE3_IMG = os.path.join(TEMPLATE_DIR, "keyword_wolf_upper_type3.png") # Added for type3 bubbles # UI Elements COPY_MENU_ITEM_IMG = os.path.join(TEMPLATE_DIR, "copy_menu_item.png") PROFILE_OPTION_IMG = os.path.join(TEMPLATE_DIR, "profile_option.png") COPY_NAME_BUTTON_IMG = os.path.join(TEMPLATE_DIR, "copy_name_button.png") SEND_BUTTON_IMG = os.path.join(TEMPLATE_DIR, "send_button.png") CHAT_INPUT_IMG = os.path.join(TEMPLATE_DIR, "chat_input.png") # State Detection PROFILE_NAME_PAGE_IMG = os.path.join(TEMPLATE_DIR, "Profile_Name_page.png") PROFILE_PAGE_IMG = os.path.join(TEMPLATE_DIR, "Profile_page.png") CHAT_ROOM_IMG = os.path.join(TEMPLATE_DIR, "chat_room.png") BASE_SCREEN_IMG = os.path.join(TEMPLATE_DIR, "base.png") # Added for navigation WORLD_MAP_IMG = os.path.join(TEMPLATE_DIR, "World_map.png") # Added for navigation # Add World/Private chat identifiers later WORLD_CHAT_IMG = os.path.join(TEMPLATE_DIR, "World_Label_normal.png") # Example PRIVATE_CHAT_IMG = os.path.join(TEMPLATE_DIR, "Private_Label_normal.png") # Example # Position Icons (Near Bubble) POS_DEV_IMG = os.path.join(TEMPLATE_DIR, "positions", "development.png") POS_INT_IMG = os.path.join(TEMPLATE_DIR, "positions", "interior.png") POS_SCI_IMG = os.path.join(TEMPLATE_DIR, "positions", "science.png") POS_SEC_IMG = os.path.join(TEMPLATE_DIR, "positions", "security.png") POS_STR_IMG = os.path.join(TEMPLATE_DIR, "positions", "strategy.png") # Capitol Page Elements CAPITOL_BUTTON_IMG = os.path.join(TEMPLATE_DIR, "capitol", "capitol_#11.png") PRESIDENT_TITLE_IMG = os.path.join(TEMPLATE_DIR, "capitol", "president_title.png") POS_BTN_DEV_IMG = os.path.join(TEMPLATE_DIR, "capitol", "position_development.png") POS_BTN_INT_IMG = os.path.join(TEMPLATE_DIR, "capitol", "position_interior.png") POS_BTN_SCI_IMG = os.path.join(TEMPLATE_DIR, "capitol", "position_science.png") POS_BTN_SEC_IMG = os.path.join(TEMPLATE_DIR, "capitol", "position_security.png") POS_BTN_STR_IMG = os.path.join(TEMPLATE_DIR, "capitol", "position_strategy.png") PAGE_DEV_IMG = os.path.join(TEMPLATE_DIR, "capitol", "page_DEVELOPMENT.png") PAGE_INT_IMG = os.path.join(TEMPLATE_DIR, "capitol", "page_INTERIOR.png") PAGE_SCI_IMG = os.path.join(TEMPLATE_DIR, "capitol", "page_SCIENCE.png") PAGE_SEC_IMG = os.path.join(TEMPLATE_DIR, "capitol", "page_SECURITY.png") PAGE_STR_IMG = os.path.join(TEMPLATE_DIR, "capitol", "page_STRATEGY.png") DISMISS_BUTTON_IMG = os.path.join(TEMPLATE_DIR, "capitol", "dismiss.png") CONFIRM_BUTTON_IMG = os.path.join(TEMPLATE_DIR, "capitol", "confirm.png") CLOSE_BUTTON_IMG = os.path.join(TEMPLATE_DIR, "capitol", "close_button.png") BACK_ARROW_IMG = os.path.join(TEMPLATE_DIR, "capitol", "black_arrow_down.png") # --- Operation Parameters (Consider moving to config.py) --- CHAT_INPUT_REGION = None # Example: (100, 800, 500, 50) CHAT_INPUT_CENTER_X = 400 CHAT_INPUT_CENTER_Y = 1280 SCREENSHOT_REGION = None CONFIDENCE_THRESHOLD = 0.8 STATE_CONFIDENCE_THRESHOLD = 0.7 AVATAR_OFFSET_X = -55 # Adjusted as per user request (was -50) BBOX_SIMILARITY_TOLERANCE = 10 RECENT_TEXT_HISTORY_MAXLEN = 5 # This state likely belongs in the coordinator # --- Helper Function (Module Level) --- def are_bboxes_similar(bbox1: Optional[Tuple[int, int, int, int]], bbox2: Optional[Tuple[int, int, int, int]], tolerance: int = BBOX_SIMILARITY_TOLERANCE) -> bool: """Check if two bounding boxes' top-left corners are close.""" if bbox1 is None or bbox2 is None: return False # Compare based on bbox top-left (index 0 and 1) return abs(bbox1[0] - bbox2[0]) <= tolerance and abs(bbox1[1] - bbox2[1]) <= tolerance # ============================================================================== # Detection Module # ============================================================================== class DetectionModule: """Handles finding elements and states on the screen using image recognition.""" def __init__(self, templates: Dict[str, str], confidence: float = CONFIDENCE_THRESHOLD, state_confidence: float = STATE_CONFIDENCE_THRESHOLD, region: Optional[Tuple[int, int, int, int]] = SCREENSHOT_REGION): self.templates = templates self.confidence = confidence self.state_confidence = state_confidence self.region = region self._warned_paths = set() print("DetectionModule initialized.") def _find_template(self, template_key: str, confidence: Optional[float] = None, region: Optional[Tuple[int, int, int, int]] = None, grayscale: bool = False) -> List[Tuple[int, int]]: """Internal helper to find a template by its key. Returns list of CENTER coordinates.""" template_path = self.templates.get(template_key) if not template_path: print(f"Error: Template key '{template_key}' not found in provided templates.") return [] # Check if template file exists, warn only once if not os.path.exists(template_path): if template_path not in self._warned_paths: print(f"Error: Template image doesn't exist: {template_path}") self._warned_paths.add(template_path) return [] locations = [] current_region = region if region is not None else self.region current_confidence = confidence if confidence is not None else self.confidence try: # locateAllOnScreen returns Box objects (left, top, width, height) matches = pyautogui.locateAllOnScreen(template_path, region=current_region, confidence=current_confidence, grayscale=grayscale) if matches: for box in matches: # Calculate center coordinates from the Box object center_x = box.left + box.width // 2 center_y = box.top + box.height // 2 locations.append((center_x, center_y)) # print(f"Found template '{template_key}' at {len(locations)} locations.") # Debug return locations except Exception as e: print(f"Error finding template '{template_key}' ({template_path}): {e}") return [] def _find_template_raw(self, template_key: str, confidence: Optional[float] = None, region: Optional[Tuple[int, int, int, int]] = None, grayscale: bool = False) -> List[Tuple[int, int, int, int]]: """Internal helper to find a template by its key. Returns list of raw Box tuples (left, top, width, height).""" template_path = self.templates.get(template_key) if not template_path: print(f"Error: Template key '{template_key}' not found in provided templates.") return [] if not os.path.exists(template_path): if template_path not in self._warned_paths: print(f"Error: Template image doesn't exist: {template_path}") self._warned_paths.add(template_path) return [] locations = [] current_region = region if region is not None else self.region current_confidence = confidence if confidence is not None else self.confidence try: # --- Temporary Debug Print --- print(f"DEBUG: Searching for template '{template_key}' with confidence {current_confidence}...") # --- End Temporary Debug Print --- matches = pyautogui.locateAllOnScreen(template_path, region=current_region, confidence=current_confidence, grayscale=grayscale) match_count = 0 # Initialize count if matches: for box in matches: locations.append((box.left, box.top, box.width, box.height)) match_count += 1 # Increment count # --- Temporary Debug Print --- print(f"DEBUG: Found {match_count} instance(s) of template '{template_key}'.") # --- End Temporary Debug Print --- return locations except Exception as e: print(f"Error finding template raw '{template_key}' ({template_path}): {e}") return [] def find_elements(self, template_keys: List[str], confidence: Optional[float] = None, region: Optional[Tuple[int, int, int, int]] = None) -> Dict[str, List[Tuple[int, int]]]: """Find multiple templates by their keys. Returns center coordinates.""" results = {} for key in template_keys: results[key] = self._find_template(key, confidence=confidence, region=region) return results def find_dialogue_bubbles(self) -> List[Dict[str, Any]]: """ Scan screen for regular and multiple types of bot bubble corners and pair them. Returns a list of dictionaries, each containing: {'bbox': (tl_x, tl_y, br_x, br_y), 'is_bot': bool, 'tl_coords': (original_tl_x, original_tl_y)} """ all_bubbles_info = [] processed_tls = set() # Keep track of TL corners already used in a bubble # --- Find ALL Regular Bubble Corners (Raw Coordinates) --- regular_tl_keys = ['corner_tl', 'corner_tl_type2', 'corner_tl_type3'] # Modified regular_br_keys = ['corner_br', 'corner_br_type2', 'corner_br_type3'] # Modified all_regular_tl_boxes = [] for key in regular_tl_keys: all_regular_tl_boxes.extend(self._find_template_raw(key)) all_regular_br_boxes = [] for key in regular_br_keys: all_regular_br_boxes.extend(self._find_template_raw(key)) # --- Find Bot Bubble Corners (Raw Coordinates - Single Type) --- bot_tl_boxes = self._find_template_raw('bot_corner_tl') # Modified bot_br_boxes = self._find_template_raw('bot_corner_br') # Modified # --- Match Regular Bubbles (Any Type TL with Any Type BR) --- if all_regular_tl_boxes and all_regular_br_boxes: for tl_box in all_regular_tl_boxes: tl_coords = (tl_box[0], tl_box[1]) # Extract original TL (left, top) # Skip if this TL is already part of a matched bubble if tl_coords in processed_tls: continue potential_br_box = None min_dist_sq = float('inf') # Find the closest valid BR corner (from any regular type) below and to the right for br_box in all_regular_br_boxes: br_coords = (br_box[0], br_box[1]) # BR top-left if br_coords[0] > tl_coords[0] + 20 and br_coords[1] > tl_coords[1] + 10: # Basic geometric check dist_sq = (br_coords[0] - tl_coords[0])**2 + (br_coords[1] - tl_coords[1])**2 if dist_sq < min_dist_sq: potential_br_box = br_box min_dist_sq = dist_sq if potential_br_box: # Calculate bbox using TL's top-left and BR's bottom-right bubble_bbox = (tl_coords[0], tl_coords[1], potential_br_box[0] + potential_br_box[2], potential_br_box[1] + potential_br_box[3]) all_bubbles_info.append({ 'bbox': bubble_bbox, 'is_bot': False, 'tl_coords': tl_coords # Store the original TL coords }) processed_tls.add(tl_coords) # Mark this TL as used # --- Match Bot Bubbles (Single Type) --- if bot_tl_boxes and bot_br_boxes: for tl_box in bot_tl_boxes: tl_coords = (tl_box[0], tl_box[1]) # Extract original TL (left, top) # Skip if this TL is already part of a matched bubble if tl_coords in processed_tls: continue potential_br_box = None min_dist_sq = float('inf') # Find the closest valid BR corner below and to the right for br_box in bot_br_boxes: br_coords = (br_box[0], br_box[1]) # BR top-left if br_coords[0] > tl_coords[0] + 20 and br_coords[1] > tl_coords[1] + 10: # Basic geometric check dist_sq = (br_coords[0] - tl_coords[0])**2 + (br_coords[1] - tl_coords[1])**2 if dist_sq < min_dist_sq: potential_br_box = br_box min_dist_sq = dist_sq if potential_br_box: # Calculate bbox using TL's top-left and BR's bottom-right bubble_bbox = (tl_coords[0], tl_coords[1], potential_br_box[0] + potential_br_box[2], potential_br_box[1] + potential_br_box[3]) all_bubbles_info.append({ 'bbox': bubble_bbox, 'is_bot': True, 'tl_coords': tl_coords # Store the original TL coords }) processed_tls.add(tl_coords) # Mark this TL as used # Note: This logic prioritizes matching regular bubbles first, then bot bubbles. # Confidence thresholds might need tuning. return all_bubbles_info def find_keyword_in_region(self, region: Tuple[int, int, int, int]) -> Optional[Tuple[int, int]]: """Look for keywords within a specified region. Returns center coordinates.""" if region[2] <= 0 or region[3] <= 0: return None # Invalid region width/height # Try original lowercase with grayscale matching locations_lower = self._find_template('keyword_wolf_lower', region=region, grayscale=True) if locations_lower: print(f"Found keyword (lowercase, grayscale) in region {region}, position: {locations_lower[0]}") return locations_lower[0] # Try original uppercase with grayscale matching locations_upper = self._find_template('keyword_wolf_upper', region=region, grayscale=True) if locations_upper: print(f"Found keyword (uppercase, grayscale) in region {region}, position: {locations_upper[0]}") return locations_upper[0] # Try type3 lowercase (white text, no grayscale) locations_lower_type3 = self._find_template('keyword_wolf_lower_type3', region=region, grayscale=False) # Added type3 check if locations_lower_type3: print(f"Found keyword (lowercase, type3) in region {region}, position: {locations_lower_type3[0]}") return locations_lower_type3[0] # Try type3 uppercase (white text, no grayscale) locations_upper_type3 = self._find_template('keyword_wolf_upper_type3', region=region, grayscale=False) # Added type3 check if locations_upper_type3: print(f"Found keyword (uppercase, type3) in region {region}, position: {locations_upper_type3[0]}") return locations_upper_type3[0] return None def calculate_avatar_coords(self, bubble_tl_coords: Tuple[int, int], offset_x: int = AVATAR_OFFSET_X) -> Tuple[int, int]: """ Calculate avatar coordinates based on the EXACT top-left corner coordinates of the bubble. Uses the Y-coordinate of the TL corner directly. """ tl_x, tl_y = bubble_tl_coords[0], bubble_tl_coords[1] avatar_x = tl_x + offset_x avatar_y = tl_y # Use the exact Y from the detected TL corner # print(f"Calculated avatar coordinates using TL {bubble_tl_coords}: ({int(avatar_x)}, {int(avatar_y)})") # Reduce noise return (int(avatar_x), int(avatar_y)) def get_current_ui_state(self) -> str: """Determine the current UI state based on visible elements.""" # Check in order of specificity or likelihood if self._find_template('profile_name_page', confidence=self.state_confidence): return 'user_details' if self._find_template('profile_page', confidence=self.state_confidence): return 'profile_card' # Add checks for world/private chat later if self._find_template('world_chat', confidence=self.state_confidence): # Example return 'world_chat' if self._find_template('private_chat', confidence=self.state_confidence): # Example return 'private_chat' if self._find_template('chat_room', confidence=self.state_confidence): return 'chat_room' # General chat room if others aren't found return 'unknown' # ============================================================================== # Interaction Module # ============================================================================== class InteractionModule: """Handles performing actions on the UI like clicking, typing, clipboard.""" def __init__(self, detector: DetectionModule, input_coords: Tuple[int, int] = (CHAT_INPUT_CENTER_X, CHAT_INPUT_CENTER_Y), input_template_key: Optional[str] = 'chat_input', send_button_key: str = 'send_button'): self.detector = detector self.default_input_coords = input_coords self.input_template_key = input_template_key self.send_button_key = send_button_key print("InteractionModule initialized.") def click_at(self, x: int, y: int, button: str = 'left', clicks: int = 1, interval: float = 0.1, duration: float = 0.1): """Safely click at specific coordinates.""" try: print(f"Moving to and clicking at: ({x}, {y}), button: {button}, clicks: {clicks}") pyautogui.moveTo(x, y, duration=duration) pyautogui.click(button=button, clicks=clicks, interval=interval) time.sleep(0.1) except Exception as e: print(f"Error clicking at coordinates ({x}, {y}): {e}") def press_key(self, key: str, presses: int = 1, interval: float = 0.1): """Press a specific key.""" try: print(f"Pressing key: {key} ({presses} times)") for _ in range(presses): pyautogui.press(key) time.sleep(interval) except Exception as e: print(f"Error pressing key '{key}': {e}") def hotkey(self, *args): """Press a key combination (e.g., 'ctrl', 'c').""" try: print(f"Pressing hotkey: {args}") pyautogui.hotkey(*args) time.sleep(0.1) # Short pause after hotkey except Exception as e: print(f"Error pressing hotkey {args}: {e}") def get_clipboard(self) -> Optional[str]: """Get text from clipboard.""" try: return pyperclip.paste() except Exception as e: print(f"Error reading clipboard: {e}") return None def set_clipboard(self, text: str): """Set clipboard text.""" try: pyperclip.copy(text) except Exception as e: print(f"Error writing to clipboard: {e}") def copy_text_at(self, coords: Tuple[int, int]) -> Optional[str]: """Attempt to copy text after clicking at given coordinates.""" print(f"Attempting to copy text at {coords}...") original_clipboard = self.get_clipboard() or "" self.set_clipboard("___MCP_CLEAR___") time.sleep(0.1) self.click_at(coords[0], coords[1]) time.sleep(0.1) # Wait for menu/reaction copied = False # Try finding "Copy" menu item first copy_item_locations = self.detector._find_template('copy_menu_item', confidence=0.7) # Use detector if copy_item_locations: copy_coords = copy_item_locations[0] self.click_at(copy_coords[0], copy_coords[1]) print("Clicked 'Copy' menu item.") time.sleep(0.2) copied = True else: print("'Copy' menu item not found. Attempting Ctrl+C.") try: self.hotkey('ctrl', 'c') time.sleep(0.1) print("Simulated Ctrl+C.") copied = True except Exception as e_ctrlc: print(f"Failed to simulate Ctrl+C: {e_ctrlc}") copied = False copied_text = self.get_clipboard() self.set_clipboard(original_clipboard) # Restore clipboard if copied and copied_text and copied_text != "___MCP_CLEAR___": print(f"Successfully copied text, length: {len(copied_text)}") return copied_text.strip() else: print("Error: Copy operation unsuccessful or clipboard content invalid.") return None def retrieve_sender_name_interaction(self, avatar_coords: Tuple[int, int]) -> Optional[str]: """ Perform the sequence of actions to copy sender name, *without* cleanup. Returns the name or None if failed. """ print(f"Attempting interaction to get username from avatar {avatar_coords}...") original_clipboard = self.get_clipboard() or "" self.set_clipboard("___MCP_CLEAR___") time.sleep(0.1) sender_name = None try: # 1. Click avatar self.click_at(avatar_coords[0], avatar_coords[1]) time.sleep(0.1) # Wait for profile card # 2. Find and click profile option profile_option_locations = self.detector._find_template('profile_option', confidence=0.7) if not profile_option_locations: print("Error: User details option not found on profile card.") return None # Fail early if critical step missing self.click_at(profile_option_locations[0][0], profile_option_locations[0][1]) print("Clicked user details option.") time.sleep(0.1) # Wait for user details window # 3. Find and click "Copy Name" button copy_name_locations = self.detector._find_template('copy_name_button', confidence=0.7) if not copy_name_locations: print("Error: 'Copy Name' button not found in user details.") return None # Fail early self.click_at(copy_name_locations[0][0], copy_name_locations[0][1]) print("Clicked 'Copy Name' button.") time.sleep(0.1) # 4. Get name from clipboard copied_name = self.get_clipboard() if copied_name and copied_name != "___MCP_CLEAR___": print(f"Successfully copied username: {copied_name}") sender_name = copied_name.strip() else: print("Error: Clipboard content invalid after clicking copy name.") sender_name = None return sender_name except Exception as e: print(f"Error during username retrieval interaction: {e}") import traceback traceback.print_exc() return None finally: # Restore clipboard regardless of success/failure self.set_clipboard(original_clipboard) # NO cleanup logic here - should be handled by coordinator def send_chat_message(self, reply_text: str) -> bool: """Paste text into chat input and send it.""" print("Preparing to send response...") if not reply_text: print("Error: Response content is empty, cannot send.") return False # Find input box coordinates input_coords = self.default_input_coords # Fallback if self.input_template_key and self.detector.templates.get(self.input_template_key): input_locations = self.detector._find_template(self.input_template_key, confidence=0.7) if input_locations: input_coords = input_locations[0] print(f"Found input box position via image: {input_coords}") else: print(f"Warning: Input box template '{self.input_template_key}' not found, using default coordinates.") else: print("Warning: Input box template key not set or image missing, using default coordinates.") # Click input, paste, send self.click_at(input_coords[0], input_coords[1]) time.sleep(0.1) print("Pasting response...") self.set_clipboard(reply_text) time.sleep(0.1) try: self.hotkey('ctrl', 'v') time.sleep(0.1) print("Pasted.") except Exception as e: print(f"Error pasting response: {e}") return False # Try clicking send button first send_button_locations = self.detector._find_template(self.send_button_key, confidence=0.7) if send_button_locations: send_coords = send_button_locations[0] self.click_at(send_coords[0], send_coords[1]) print("Clicked send button.") time.sleep(0.1) return True else: # Fallback to pressing Enter print("Send button not found. Attempting to press Enter.") try: self.press_key('enter') print("Pressed Enter.") time.sleep(0.1) return True except Exception as e_enter: print(f"Error pressing Enter: {e_enter}") return False # ============================================================================== # Position Removal Logic # ============================================================================== def remove_user_position(detector: DetectionModule, interactor: InteractionModule, trigger_bubble_region: Tuple[int, int, int, int]) -> bool: """ Performs the sequence of UI actions to remove a user's position based on the triggering chat bubble. Returns True if successful, False otherwise. """ print(f"\n--- Starting Position Removal Process (Trigger Bubble Region: {trigger_bubble_region}) ---") bubble_x, bubble_y, bubble_w, bubble_h = trigger_bubble_region # This is the BBOX, y is top # 1. Find the closest position icon above the bubble search_region_y_end = bubble_y search_region_y_start = max(0, bubble_y - 55) # Search 55 pixels above search_region_x_start = max(0, bubble_x - 100) # Search wider horizontally search_region_x_end = bubble_x + bubble_w + 100 search_region = (search_region_x_start, search_region_y_start, search_region_x_end - search_region_x_start, search_region_y_end - search_region_y_start) print(f"Searching for position icons in region: {search_region}") position_templates = { 'DEVELOPMENT': POS_DEV_IMG, 'INTERIOR': POS_INT_IMG, 'SCIENCE': POS_SCI_IMG, 'SECURITY': POS_SEC_IMG, 'STRATEGY': POS_STR_IMG } found_positions = [] for name, path in position_templates.items(): # Use unique keys for detector templates locations = detector._find_template(name.lower() + '_pos', confidence=0.75, region=search_region) for loc in locations: found_positions.append({'name': name, 'coords': loc, 'path': path}) if not found_positions: print("Error: No position icons found near the trigger bubble.") return False # Find the closest one to the bubble's top-center bubble_top_center_x = bubble_x + bubble_w // 2 bubble_top_center_y = bubble_y closest_position = min(found_positions, key=lambda p: (p['coords'][0] - bubble_top_center_x)**2 + (p['coords'][1] - bubble_top_center_y)**2) target_position_name = closest_position['name'] print(f"Found pending position: |{target_position_name}| at {closest_position['coords']}") # 2. Click user avatar (offset from bubble top-left) # IMPORTANT: Use the bubble_y (top of the bbox) for the click Y coordinate. # The AVATAR_OFFSET_X handles the horizontal positioning relative to the bubble's left edge (bubble_x). avatar_click_x = bubble_x + AVATAR_OFFSET_X # Use constant offset avatar_click_y = bubble_y # Use the top Y coordinate of the bubble's bounding box print(f"Clicking avatar at estimated position: ({avatar_click_x}, {avatar_click_y}) based on bubble top-left ({bubble_x}, {bubble_y})") interactor.click_at(avatar_click_x, avatar_click_y) time.sleep(0.15) # Wait for profile page # 3. Verify Profile Page and Click Capitol Button if not detector._find_template('profile_page', confidence=detector.state_confidence): print("Error: Failed to verify Profile Page after clicking avatar.") perform_state_cleanup(detector, interactor) # Attempt cleanup return False print("Profile page verified.") capitol_button_locs = detector._find_template('capitol_button', confidence=0.8) if not capitol_button_locs: print("Error: Capitol button (#11) not found on profile page.") perform_state_cleanup(detector, interactor) return False interactor.click_at(capitol_button_locs[0][0], capitol_button_locs[0][1]) print("Clicked Capitol button.") time.sleep(0.15) # Wait for capitol page # 4. Verify Capitol Page if not detector._find_template('president_title', confidence=detector.state_confidence): print("Error: Failed to verify Capitol Page (President Title not found).") perform_state_cleanup(detector, interactor) return False print("Capitol page verified.") # 5. Find and Click Corresponding Position Button position_button_templates = { 'DEVELOPMENT': 'pos_btn_dev', 'INTERIOR': 'pos_btn_int', 'SCIENCE': 'pos_btn_sci', 'SECURITY': 'pos_btn_sec', 'STRATEGY': 'pos_btn_str' } target_button_key = position_button_templates.get(target_position_name) if not target_button_key: print(f"Error: Internal error - unknown position name '{target_position_name}'") perform_state_cleanup(detector, interactor) return False pos_button_locs = detector._find_template(target_button_key, confidence=0.8) if not pos_button_locs: print(f"Error: Position button for '{target_position_name}' not found on Capitol page.") perform_state_cleanup(detector, interactor) return False interactor.click_at(pos_button_locs[0][0], pos_button_locs[0][1]) print(f"Clicked '{target_position_name}' position button.") time.sleep(0.15) # Wait for position page # 6. Verify Position Page position_page_templates = { 'DEVELOPMENT': 'page_dev', 'INTERIOR': 'page_int', 'SCIENCE': 'page_sci', 'SECURITY': 'page_sec', 'STRATEGY': 'page_str' } target_page_key = position_page_templates.get(target_position_name) if not target_page_key: print(f"Error: Internal error - unknown position name '{target_position_name}' for page verification") perform_state_cleanup(detector, interactor) return False if not detector._find_template(target_page_key, confidence=detector.state_confidence): print(f"Error: Failed to verify correct position page for '{target_position_name}'.") perform_state_cleanup(detector, interactor) return False print(f"Verified '{target_position_name}' position page.") # 7. Find and Click Dismiss Button dismiss_locs = detector._find_template('dismiss_button', confidence=0.8) if not dismiss_locs: print("Error: Dismiss button not found on position page.") perform_state_cleanup(detector, interactor) return False interactor.click_at(dismiss_locs[0][0], dismiss_locs[0][1]) print("Clicked Dismiss button.") time.sleep(0.1) # Wait for confirmation # 8. Find and Click Confirm Button confirm_locs = detector._find_template('confirm_button', confidence=0.8) if not confirm_locs: print("Error: Confirm button not found after clicking dismiss.") # Don't cleanup here, might be stuck in confirmation state return False # Indicate failure, but let main loop decide next step interactor.click_at(confirm_locs[0][0], confirm_locs[0][1]) print("Clicked Confirm button. Position should be dismissed.") time.sleep(0.1) # Wait for action to complete # 9. Cleanup: Return to Chat Room # Click Close on position page (should now be back on capitol page implicitly) close_locs = detector._find_template('close_button', confidence=0.8) if close_locs: interactor.click_at(close_locs[0][0], close_locs[0][1]) print("Clicked Close button (returning to Capitol).") time.sleep(0.15) else: print("Warning: Close button not found after confirm, attempting back arrow anyway.") # Click Back Arrow on Capitol page (should return to profile) back_arrow_locs = detector._find_template('back_arrow', confidence=0.8) if back_arrow_locs: interactor.click_at(back_arrow_locs[0][0], back_arrow_locs[0][1]) print("Clicked Back Arrow (returning to Profile).") time.sleep(0.15) else: print("Warning: Back arrow not found on Capitol page, attempting ESC cleanup.") # Use standard ESC cleanup print("Initiating final ESC cleanup to return to chat...") cleanup_success = perform_state_cleanup(detector, interactor) if cleanup_success: print("--- Position Removal Process Completed Successfully ---") return True else: print("--- Position Removal Process Completed, but failed to confirm return to chat room ---") return False # Technically removed, but UI state uncertain # ============================================================================== # Coordinator Logic (Placeholder - To be implemented in main.py) # ============================================================================== # --- State-based Cleanup Function (To be called by Coordinator) --- def perform_state_cleanup(detector: DetectionModule, interactor: InteractionModule, max_attempts: int = 4) -> bool: """ Attempt to return to the main chat room interface by pressing ESC based on detected state. Returns True if confirmed back in chat room, False otherwise. """ print("Performing cleanup: Attempting to press ESC to return to chat interface...") returned_to_chat = False for attempt in range(max_attempts): print(f"Cleanup attempt #{attempt + 1}/{max_attempts}") time.sleep(0.1) current_state = detector.get_current_ui_state() print(f"Detected state: {current_state}") if current_state == 'chat_room' or current_state == 'world_chat' or current_state == 'private_chat': # Adjust as needed print("Chat room interface detected, cleanup complete.") returned_to_chat = True break elif current_state == 'user_details' or current_state == 'profile_card': print(f"{current_state.replace('_', ' ').title()} detected, pressing ESC...") interactor.press_key('esc') time.sleep(0.1) # Wait longer for UI response after ESC continue else: # Unknown state print("Unknown page state detected.") if attempt < max_attempts - 1: print("Trying one ESC press as fallback...") interactor.press_key('esc') time.sleep(0.1) else: print("Maximum attempts reached, stopping cleanup.") break if not returned_to_chat: print("Warning: Could not confirm return to chat room interface via state detection.") return returned_to_chat # --- UI Monitoring Loop Function (To be run in a separate thread) --- def run_ui_monitoring_loop(trigger_queue: queue.Queue, command_queue: queue.Queue): """ Continuously monitors the UI, detects triggers, performs interactions, puts trigger data into trigger_queue, and processes commands from command_queue. """ print("\n--- Starting UI Monitoring Loop (Thread) ---") # --- Initialization (Instantiate modules within the thread) --- # Load templates directly using constants defined in this file for now # Consider passing config or a template loader object in the future templates = { # Regular Bubble (Original + Skins) - Keys match those used in find_dialogue_bubbles 'corner_tl': CORNER_TL_IMG, 'corner_br': CORNER_BR_IMG, 'corner_tl_type2': CORNER_TL_TYPE2_IMG, 'corner_br_type2': CORNER_BR_TYPE2_IMG, 'corner_tl_type3': CORNER_TL_TYPE3_IMG, 'corner_br_type3': CORNER_BR_TYPE3_IMG, # Corrected: Added missing keys here # Bot Bubble (Single Type) 'bot_corner_tl': BOT_CORNER_TL_IMG, 'bot_corner_br': BOT_CORNER_BR_IMG, # Keywords & UI Elements 'keyword_wolf_lower': KEYWORD_wolf_LOWER_IMG, 'keyword_wolf_upper': KEYWORD_Wolf_UPPER_IMG, 'keyword_wolf_lower_type3': KEYWORD_wolf_LOWER_TYPE3_IMG, # Added 'keyword_wolf_upper_type3': KEYWORD_Wolf_UPPER_TYPE3_IMG, # Added 'copy_menu_item': COPY_MENU_ITEM_IMG, 'profile_option': PROFILE_OPTION_IMG, 'copy_name_button': COPY_NAME_BUTTON_IMG, 'send_button': SEND_BUTTON_IMG, 'chat_input': CHAT_INPUT_IMG, 'profile_name_page': PROFILE_NAME_PAGE_IMG, 'profile_page': PROFILE_PAGE_IMG, 'chat_room': CHAT_ROOM_IMG, 'base_screen': BASE_SCREEN_IMG, 'world_map_screen': WORLD_MAP_IMG, # Added for navigation 'world_chat': WORLD_CHAT_IMG, 'private_chat': PRIVATE_CHAT_IMG, # Add position templates 'development_pos': POS_DEV_IMG, 'interior_pos': POS_INT_IMG, 'science_pos': POS_SCI_IMG, 'security_pos': POS_SEC_IMG, 'strategy_pos': POS_STR_IMG, # Add capitol templates 'capitol_button': CAPITOL_BUTTON_IMG, 'president_title': PRESIDENT_TITLE_IMG, 'pos_btn_dev': POS_BTN_DEV_IMG, 'pos_btn_int': POS_BTN_INT_IMG, 'pos_btn_sci': POS_BTN_SCI_IMG, 'pos_btn_sec': POS_BTN_SEC_IMG, 'pos_btn_str': POS_BTN_STR_IMG, 'page_dev': PAGE_DEV_IMG, 'page_int': PAGE_INT_IMG, 'page_sci': PAGE_SCI_IMG, 'page_sec': PAGE_SEC_IMG, 'page_str': PAGE_STR_IMG, 'dismiss_button': DISMISS_BUTTON_IMG, 'confirm_button': CONFIRM_BUTTON_IMG, 'close_button': CLOSE_BUTTON_IMG, 'back_arrow': BACK_ARROW_IMG } # Use default confidence/region settings from constants detector = DetectionModule(templates, confidence=CONFIDENCE_THRESHOLD, state_confidence=STATE_CONFIDENCE_THRESHOLD, region=SCREENSHOT_REGION) # Use default input coords/keys from constants interactor = InteractionModule(detector, input_coords=(CHAT_INPUT_CENTER_X, CHAT_INPUT_CENTER_Y), input_template_key='chat_input', send_button_key='send_button') # --- State Management (Local to this monitoring thread) --- last_processed_bubble_info = None # Store the whole dict now recent_texts = collections.deque(maxlen=RECENT_TEXT_HISTORY_MAXLEN) # Context-specific history needed screenshot_counter = 0 # Initialize counter for debug screenshots while True: # --- Check for Main Screen Navigation First --- try: base_locs = detector._find_template('base_screen', confidence=0.8) map_locs = detector._find_template('world_map_screen', confidence=0.8) if base_locs or map_locs: print("UI Thread: Detected main screen (Base or World Map). Clicking to return to chat...") # Coordinates provided by user (adjust if needed based on actual screen resolution/layout) # IMPORTANT: Ensure these coordinates are correct for the target window/resolution target_x, target_y = 600, 1300 interactor.click_at(target_x, target_y) time.sleep(0.2) # Short delay after click print("UI Thread: Clicked to return to chat. Re-checking screen state...") continue # Skip the rest of the loop and re-evaluate except Exception as nav_err: print(f"UI Thread: Error during main screen navigation check: {nav_err}") # Decide if you want to continue or pause after error # --- Process Commands Second (Non-blocking) --- try: command_data = command_queue.get_nowait() # Check for commands without blocking action = command_data.get('action') if action == 'send_reply': text_to_send = command_data.get('text') if text_to_send: print(f"UI Thread: Received command to send reply: '{text_to_send[:50]}...'") interactor.send_chat_message(text_to_send) else: print("UI Thread: Received send_reply command with no text.") elif action == 'remove_position': # <--- Handle new command region = command_data.get('trigger_bubble_region') if region: print(f"UI Thread: Received command to remove position triggered by bubble region: {region}") # Call the new UI function success = remove_user_position(detector, interactor, region) # Call synchronous function print(f"UI Thread: Position removal attempt finished. Success: {success}") # Note: No need to send result back unless main thread needs confirmation else: print("UI Thread: Received remove_position command without trigger_bubble_region.") else: print(f"UI Thread: Received unknown command: {action}") except queue.Empty: pass # No command waiting, continue with monitoring except Exception as cmd_err: print(f"UI Thread: Error processing command queue: {cmd_err}") # --- Verify Chat Room State Before Bubble Detection --- try: # Use a slightly lower confidence maybe, or state_confidence chat_room_locs = detector._find_template('chat_room', confidence=detector.state_confidence) if not chat_room_locs: print("UI Thread: Not in chat room state before bubble detection. Attempting cleanup...") # Call the existing cleanup function to try and return perform_state_cleanup(detector, interactor) # Regardless of cleanup success, restart the loop to re-evaluate state from the top print("UI Thread: Continuing loop after attempting chat room cleanup.") time.sleep(0.5) # Small pause after cleanup attempt continue # else: # Optional: Log if chat room is confirmed # print("UI Thread: Chat room state confirmed.") except Exception as state_check_err: print(f"UI Thread: Error checking for chat room state: {state_check_err}") # Decide how to handle error - maybe pause and retry? For now, continue cautiously. time.sleep(1) # --- Then Perform UI Monitoring (Bubble Detection) --- try: # 1. Detect Bubbles all_bubbles_data = detector.find_dialogue_bubbles() # Returns list of dicts if not all_bubbles_data: time.sleep(2); continue # Filter out bot bubbles, find newest non-bot bubble (example logic) other_bubbles_data = [b_info for b_info in all_bubbles_data if not b_info['is_bot']] if not other_bubbles_data: time.sleep(0.2); continue # Simple logic: assume lowest bubble is newest (might need improvement) # Sort by bbox bottom y-coordinate (index 3) target_bubble_info = max(other_bubbles_data, key=lambda b_info: b_info['bbox'][3]) # 2. Check for Duplicates (Position & Content) # Compare using the 'bbox' from the info dicts if are_bboxes_similar(target_bubble_info.get('bbox'), last_processed_bubble_info.get('bbox') if last_processed_bubble_info else None): time.sleep(0.2); continue # 3. Detect Keyword in Bubble target_bbox = target_bubble_info['bbox'] bubble_region = (target_bbox[0], target_bbox[1], target_bbox[2]-target_bbox[0], target_bbox[3]-target_bbox[1]) keyword_coords = detector.find_keyword_in_region(bubble_region) if keyword_coords: print(f"\n!!! Keyword detected in bubble {target_bbox} !!!") # --- Debug Screenshot Logic --- try: screenshot_index = (screenshot_counter % MAX_DEBUG_SCREENSHOTS) + 1 screenshot_filename = f"debug_bubble_{screenshot_index}.png" screenshot_path = os.path.join(DEBUG_SCREENSHOT_DIR, screenshot_filename) # --- Enhanced Logging --- print(f"Attempting to save debug screenshot to: {screenshot_path}") print(f"Screenshot Region: {bubble_region}") # Check if region is valid before attempting screenshot if bubble_region and len(bubble_region) == 4 and bubble_region[2] > 0 and bubble_region[3] > 0: # Convert numpy types to standard Python int for pyautogui region_int = (int(bubble_region[0]), int(bubble_region[1]), int(bubble_region[2]), int(bubble_region[3])) pyautogui.screenshot(region=region_int, imageFilename=screenshot_path) print(f"Successfully saved debug screenshot: {screenshot_path}") screenshot_counter += 1 else: print(f"Error: Invalid screenshot region {bubble_region}. Skipping screenshot.") # --- End Enhanced Logging --- except Exception as ss_err: # --- Enhanced Error Logging --- print(f"Error taking debug screenshot for region {bubble_region} to path {screenshot_path}: {repr(ss_err)}") import traceback traceback.print_exc() # Print full traceback for detailed debugging # --- End Enhanced Error Logging --- # --- End Debug Screenshot Logic --- # 4. Interact: Get Bubble Text bubble_text = interactor.copy_text_at(keyword_coords) if not bubble_text: print("Error: Could not get dialogue content.") last_processed_bubble_info = target_bubble_info # Mark as processed even if failed perform_state_cleanup(detector, interactor) # Attempt cleanup after failed copy continue # Check recent text history (needs context awareness) if bubble_text in recent_texts: print(f"Content '{bubble_text[:30]}...' in recent history, skipping.") last_processed_bubble_info = target_bubble_info continue print(">>> New trigger event <<<") last_processed_bubble_info = target_bubble_info recent_texts.append(bubble_text) # 5. Interact: Get Sender Name # *** Use the precise TL coordinates for avatar calculation *** avatar_coords = detector.calculate_avatar_coords(target_bubble_info['tl_coords']) sender_name = interactor.retrieve_sender_name_interaction(avatar_coords) # 6. Perform Cleanup (Crucial after potentially leaving chat screen) cleanup_successful = perform_state_cleanup(detector, interactor) if not cleanup_successful: print("Error: Failed to return to chat screen after getting name. Aborting trigger.") continue # Skip putting in queue if cleanup failed if not sender_name: print("Error: Could not get sender name, aborting processing.") continue # Already cleaned up, just skip # 7. Send Trigger Info to Main Thread/Async Loop print("\n>>> Putting trigger info in Queue <<<") print(f" Sender: {sender_name}") print(f" Content: {bubble_text[:100]}...") print(f" Bubble Region: {bubble_region}") # Include region derived from bbox try: # Include bubble_region in the data sent data_to_send = { 'sender': sender_name, 'text': bubble_text, 'bubble_region': bubble_region # Use bbox-derived region for general use # 'tl_coords': target_bubble_info['tl_coords'] # Optionally send if needed elsewhere } trigger_queue.put(data_to_send) # Put in the queue for main loop print("Trigger info (with region) placed in Queue.") except Exception as q_err: print(f"Error putting data in Queue: {q_err}") print("--- Single trigger processing complete ---") time.sleep(0.1) # Pause after successful trigger time.sleep(1.5) # Polling interval except KeyboardInterrupt: print("\nMonitoring interrupted.") break except Exception as e: print(f"Unknown error in monitoring loop: {e}") import traceback traceback.print_exc() # Attempt cleanup in case of unexpected error during interaction print("Attempting cleanup after unexpected error...") perform_state_cleanup(detector, interactor) print("Waiting 3 seconds before retry...") time.sleep(3) # Note: The old monitor_chat_for_trigger function is replaced by the example_coordinator_loop. # The actual UI monitoring thread started in main.py should call a function like this example loop. # The main async loop in main.py will handle getting items from the queue and interacting with the LLM. # if __name__ == '__main__': # # This module is not meant to be run directly after refactoring. # # Initialization and coordination happen in main.py. # pass