From bcab6f6834a7f25352053db87d30fd7fdbe379d5 Mon Sep 17 00:00:00 2001
From: dhrpf <85220501+dhrpf@users.noreply.github.com>
Date: Sat, 14 Feb 2026 01:24:11 +0700
Subject: [PATCH 1/5] feat: initial commit

---
 .gitignore                          |    3 +-
 capture_debug.py                    |    2 +-
 core/actions/career_loop_agent.py   | 1149 ++++++++++++++++++++++++++
 core/actions/career_loop_types.py   |  121 +++
 core/actions/career_nav_flow.py     |  267 ++++++
 core/actions/support_select_flow.py |  590 ++++++++++++++
 core/actions/unity_cup/agent.py     |   15 +-
 core/actions/ura/agent.py           |   16 +-
 core/agent_career_loop.py           | 1162 +++++++++++++++++++++++++++
 core/perception/analyzers/screen.py |    8 +
 core/perception/ocr/ocr_remote.py   |  138 ++--
 core/perception/yolo/yolo_remote.py |  188 ++++-
 core/settings.py                    |   17 +-
 core/types.py                       |    1 +
 main.py                             |  150 +++-
 models/uma_career_loop.pt           |  Bin 0 -> 6279978 bytes
 requirements.txt                    |    1 +
 17 files changed, 3723 insertions(+), 105 deletions(-)
 create mode 100644 core/actions/career_loop_agent.py
 create mode 100644 core/actions/career_loop_types.py
 create mode 100644 core/actions/career_nav_flow.py
 create mode 100644 core/actions/support_select_flow.py
 create mode 100644 core/agent_career_loop.py
 create mode 100644 models/uma_career_loop.pt

diff --git a/.gitignore b/.gitignore
index f74acfeb..97c53c66 100644
--- a/.gitignore
+++ b/.gitignore
@@ -48,6 +48,7 @@ datasets/uma_unity_cup/*
 !datasets/uma_unity_cup/raw
 datasets/uma_unity_cup/raw/*
 !datasets/uma_unity_cup/raw/gitkeep.txt
+datasets/_scrape_out/
 
 README.ai.md
 README.train.md
@@ -70,4 +71,4 @@ change.patch
 
 # Personal convenience scripts
 run.sh
-start_uma.sh
+start_uma.sh
\ No newline at end of file
diff --git a/capture_debug.py b/capture_debug.py
index ef139dbd..6bed531f 100644
--- a/capture_debug.py
+++ b/capture_debug.py
@@ -68,7 +68,7 @@ def main():
     )
     parser.add_argument(
         "--mode",
-        choices=["steam", "bluestack", "scrcpy"],
+        choices=["steam", "bluestack", "scrcpy", "adb"],
         default=Settings.MODE,
         help="Capture mode / target window type",
     )
diff --git a/core/actions/career_loop_agent.py b/core/actions/career_loop_agent.py
new file mode 100644
index 00000000..1b41cb19
--- /dev/null
+++ b/core/actions/career_loop_agent.py
@@ -0,0 +1,1149 @@
+"""
+Career Loop Agent for Career Automation Loop.
+
+This module orchestrates the complete career farming loop:
+- Navigate from main menu to career mode
+- Handle all setup screens
+- Select optimal support card
+- Launch the training agent (AgentScenario)
+- Loop back to start a new career upon completion
+"""
+
+from __future__ import annotations
+
+import time
+from typing import Optional
+
+from core.actions.career_loop_types import CareerLoopState, CareerStep
+from core.actions.career_nav_flow import CareerNavFlow
+from core.actions.support_select_flow import SupportSelectFlow
+from core.agent_scenario import AgentScenario
+from core.controllers.base import IController
+from core.perception.ocr.interface import OCRInterface
+from core.perception.yolo.interface import IDetector
+from core.utils.abort import abort_requested, request_abort
+from core.utils.geometry import crop_pil
+from core.utils.logger import logger_uma
+from core.utils.waiter import Waiter
+
+
+class CareerLoopAgent:
+    """
+    Top-level orchestrator that manages the complete career farming loop.
+    
+    This class coordinates the entire career automation workflow:
+    - Initializes navigation and support selection flows
+    - Executes career setup sequence
+    - Launches and monitors AgentScenario
+    - Detects career completion
+    - Loops back to start new career
+    - Handles errors and recovery
+    
+    Attributes:
+        ctrl: Controller for input and screen capture
+        ocr: OCR engine for text recognition
+        yolo_engine: YOLO detection engine for UI elements
+        waiter: Synchronization utility for UI state transitions
+        agent_scenario: The training agent to run for each career
+        career_nav: Navigation flow for menu and setup screens
+        support_select: Support card selection flow
+        state: Career loop state tracking
+        preferred_support: Name of the preferred support card
+        preferred_level: Desired support card level
+        max_careers: Maximum number of careers to run (None = infinite)
+        error_threshold: Stop after this many consecutive errors
+    """
+    
+    def __init__(
+        self,
+        ctrl: IController,
+        ocr: Optional[OCRInterface],
+        yolo_engine: IDetector,
+        waiter: Waiter,
+        agent_scenario: AgentScenario,
+        *,
+        preferred_support: str = "Riko Kashimoto",
+        preferred_level: int = 50,
+        max_refresh_attempts: int = 3,
+        refresh_wait_seconds: float = 5.0,
+        max_careers: Optional[int] = None,
+        error_threshold: int = 5,
+    ):
+        """
+        Initialize CareerLoopAgent with infrastructure components.
+        
+        Args:
+            ctrl: Controller for input and screen capture
+            ocr: OCR engine for text recognition (optional)
+            yolo_engine: YOLO detection engine
+            waiter: Waiter for UI synchronization
+            agent_scenario: The training agent to run for each career
+            preferred_support: Name of the preferred support card (default: "Riko Kashimoto")
+            preferred_level: Desired support card level (default: 50)
+            max_refresh_attempts: Maximum refresh attempts for support selection (default: 3)
+            refresh_wait_seconds: Wait time after refresh (default: 5.0s)
+            max_careers: Maximum number of careers to run, None for infinite (default: None)
+            error_threshold: Stop after this many consecutive errors (default: 5)
+        """
+        self.ctrl = ctrl
+        self.ocr = ocr
+        self.yolo_engine = yolo_engine
+        self.waiter = waiter
+        self.agent_scenario = agent_scenario
+        
+        # Configuration
+        self.preferred_support = preferred_support
+        self.preferred_level = preferred_level
+        self.max_careers = max_careers
+        self.error_threshold = error_threshold
+        
+        # Initialize flows
+        self.career_nav = CareerNavFlow(
+            ctrl=ctrl,
+            ocr=ocr,
+            yolo_engine=yolo_engine,
+            waiter=waiter,
+        )
+        
+        self.support_select = SupportSelectFlow(
+            ctrl=ctrl,
+            ocr=ocr,
+            yolo_engine=yolo_engine,
+            waiter=waiter,
+            preferred_support=preferred_support,
+            preferred_level=preferred_level,
+            max_refresh_attempts=max_refresh_attempts,
+            refresh_wait_seconds=refresh_wait_seconds,
+        )
+        
+        # Initialize state tracking
+        self.state = CareerLoopState()
+        
+        logger_uma.info(
+            "[CareerLoopAgent] Initialized: support='%s' level=%d max_careers=%s error_threshold=%d",
+            preferred_support,
+            preferred_level,
+            max_careers if max_careers is not None else "infinite",
+            error_threshold,
+        )
+
+    def _confirm_career_start(self) -> bool:
+        """
+        Confirm career start with double-click on "Start Career!" button.
+        
+        This method performs the following steps:
+        1. Click button_green with "Start Career!" text using fuzzy search
+        2. Check if "Restore" button appears (TP restoration needed)
+        3. If restore needed, handle TP restoration flow
+        4. Wait 3 seconds for UI transition
+        5. Click button_green with "Start Career!" text again (double-click confirmation)
+        6. Verify career started successfully
+        
+        Returns:
+            True if career start was confirmed successfully, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Confirming career start")
+        
+        try:
+            # First click: Look for "Start Career!" button with fuzzy matching
+            logger_uma.debug("[CareerLoopAgent] First click on Start Career button")
+            clicked_first = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["start", "career"],  # Fuzzy search patterns
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="career_start_confirm_1",
+            )
+            
+            if not clicked_first:
+                logger_uma.warning("[CareerLoopAgent] Failed to click Start Career button (first attempt)")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] First click successful, checking for TP restoration")
+            
+            # Wait a moment for potential restore dialog
+            time.sleep(1.5)
+            
+            # Check if "Restore" button appears (TP restoration needed)
+            img, _, dets = self.yolo_engine.recognize(
+                imgsz=832,
+                conf=0.51,
+                iou=0.45,
+                tag="career_start_restore_check",
+                agent="career_loop",
+            )
+            
+            from core.utils.yolo_objects import filter_by_classes as det_filter
+            restore_buttons = det_filter(dets, ["button_green"])
+            
+            # Check if any green button has "restore" text
+            restore_needed = False
+            if restore_buttons and self.ocr:
+                for det in restore_buttons:
+                    roi = crop_pil(img, det["xyxy"])
+                    text = self.ocr.text(roi, min_conf=0.2).lower().strip()
+                    if "restore" in text:
+                        restore_needed = True
+                        logger_uma.info("[CareerLoopAgent] TP restoration needed, handling restore flow")
+                        break
+            
+            # Handle TP restoration if needed
+            if restore_needed:
+                if not self._handle_tp_restoration():
+                    logger_uma.warning("[CareerLoopAgent] TP restoration failed, continuing anyway")
+                    # Continue even if restoration fails
+            
+            # Wait for UI transition
+            # Second click: Double-click confirmation
+            logger_uma.debug("[CareerLoopAgent] Second click on Start Career button")
+            clicked_second = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["start", "career"],  # Fuzzy search patterns
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="career_start_confirm_2",
+            )
+
+            time.sleep(1)
+            clicked_second = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["start", "career"],  # Fuzzy search patterns
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="career_start_confirm_2",
+            )
+            
+            if not clicked_second:
+                logger_uma.warning("[CareerLoopAgent] Failed to click Start Career button (second attempt)")
+                return False
+            
+            logger_uma.info("[CareerLoopAgent] Career start confirmed successfully")
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error confirming career start: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _handle_tp_restoration(self) -> bool:
+        """
+        Handle TP (Training Points) restoration flow.
+        
+        This method performs the following steps:
+        1. Click "Restore" button (green button with "restore" text)
+        2. Wait for popup with ui_carat and ui_tp buttons
+        3. Click "Use" button on the far right of ui_tp (prioritize TP over carat)
+        4. Click "OK" button (green button)
+        5. Wait 3-5 seconds
+        6. Click "Close" button (white button)
+        
+        Returns:
+            True if TP restoration was successful, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Handling TP restoration")
+        
+        try:
+            # Step 1: Click "Restore" button
+            logger_uma.debug("[CareerLoopAgent] Step 1: Clicking Restore button")
+            clicked_restore = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["restore"],
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="tp_restore_1",
+            )
+            
+            if not clicked_restore:
+                logger_uma.warning("[CareerLoopAgent] Failed to click Restore button")
+                return False
+            
+            # Wait for popup to appear
+            time.sleep(1.5)
+            
+            # Step 2: Detect ui_tp and click "Use" button on the far right
+            logger_uma.debug("[CareerLoopAgent] Step 2: Looking for ui_tp and Use button")
+            img, _, dets = self.yolo_engine.recognize(
+                imgsz=832,
+                conf=0.51,
+                iou=0.45,
+                tag="tp_restore_popup",
+                agent="career_loop",
+            )
+            
+            from core.utils.yolo_objects import filter_by_classes as det_filter
+            tp_dets = det_filter(dets, ["ui_tp"])
+            white_buttons = det_filter(dets, ["button_white", "white_button"])
+            
+            if not tp_dets:
+                logger_uma.warning("[CareerLoopAgent] ui_tp not found, trying to use carat instead")
+                # Fallback to carat if TP not available
+                carat_dets = det_filter(dets, ["ui_carat"])
+                if carat_dets:
+                    tp_dets = carat_dets
+                else:
+                    logger_uma.error("[CareerLoopAgent] Neither ui_tp nor ui_carat found")
+                    return False
+            
+            # Find the "Use" button that's vertically aligned with ui_tp
+            # Based on detection data:
+            # - ui_tp is at y=(273.6, 371.7), center_y ≈ 322
+            # - Use button for TP is at y=(152.0, 211.0), center_y ≈ 181
+            # - ui_carat is at y=(135.0, 231.4), center_y ≈ 183
+            # So we need to find the button that's vertically aligned (similar y-center)
+            if tp_dets and white_buttons:
+                tp_x1, tp_y1, tp_x2, tp_y2 = tp_dets[0]["xyxy"]  # Use first TP detection
+                tp_center_y = (tp_y1 + tp_y2) / 2  # Center Y of TP icon
+                
+                logger_uma.debug(
+                    "[CareerLoopAgent] TP icon at y-center=%.1f, looking for aligned Use button",
+                    tp_center_y,
+                )
+                
+                # Find white buttons to the right of TP icon and vertically aligned
+                use_button = None
+                best_match = None
+                min_y_diff = float('inf')
+                
+                for btn in white_buttons:
+                    btn_x1, btn_y1, btn_x2, btn_y2 = btn["xyxy"]
+                    btn_center_y = (btn_y1 + btn_y2) / 2
+                    y_diff = abs(btn_center_y - tp_center_y)
+                    
+                    # Button must be to the right of TP icon
+                    if btn_x1 > tp_x2:
+                        # Check vertical alignment (within 100 pixels tolerance)
+                        if y_diff < 100:
+                            if y_diff < min_y_diff:
+                                min_y_diff = y_diff
+                                best_match = btn
+                                logger_uma.debug(
+                                    "[CareerLoopAgent] Found candidate Use button at y-center=%.1f (diff=%.1f)",
+                                    btn_center_y,
+                                    y_diff,
+                                )
+                
+                if best_match:
+                    use_button = best_match
+                    logger_uma.info(
+                        "[CareerLoopAgent] Selected Use button with y-diff=%.1f (best vertical alignment)",
+                        min_y_diff,
+                    )
+                
+                if use_button:
+                    logger_uma.debug("[CareerLoopAgent] Clicking Use button for TP")
+                    x1, y1, x2, y2 = use_button["xyxy"]
+                    center_x = int((x1 + x2) / 2)
+                    center_y = int((y1 + y2) / 2)
+                    self.ctrl.click(center_x, center_y)
+                    time.sleep(1.0)
+                else:
+                    logger_uma.warning("[CareerLoopAgent] Use button not found by alignment, trying generic white button")
+                    # Fallback: click any white button with "use" text
+                    clicked_use = self.waiter.click_when(
+                        classes=["button_white", "white_button"],
+                        texts=["use"],
+                        threshold=0.68,
+                        timeout_s=3.0,
+                        tag="tp_restore_use",
+                    )
+                    if not clicked_use:
+                        logger_uma.error("[CareerLoopAgent] Failed to click Use button")
+                        return False
+            else:
+                logger_uma.error("[CareerLoopAgent] Could not find TP icon or white buttons")
+                return False
+            
+            # Step 3: Click "OK" button (green button)
+            logger_uma.debug("[CareerLoopAgent] Step 3: Clicking OK button")
+            clicked_ok = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["ok", "confirm"],
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="tp_restore_ok",
+            )
+            
+            if not clicked_ok:
+                logger_uma.warning("[CareerLoopAgent] Failed to click OK button")
+                return False
+            
+            # Step 4: Wait 3-5 seconds
+            logger_uma.debug("[CareerLoopAgent] Step 4: Waiting 4 seconds")
+            time.sleep(4.0)
+            
+            # Step 5: Click "Close" button (white button)
+            logger_uma.debug("[CareerLoopAgent] Step 5: Clicking Close button")
+            clicked_close = self.waiter.click_when(
+                classes=["button_white", "white_button"],
+                texts=["close"],
+                threshold=0.38,
+                timeout_s=5.0,
+                tag="tp_restore_close",
+            )
+            
+            if not clicked_close:
+                logger_uma.warning("[CareerLoopAgent] Failed to click Close button")
+                return False
+            
+            logger_uma.info("[CareerLoopAgent] TP restoration completed successfully")
+            time.sleep(3.0)
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error handling TP restoration: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _handle_career_start_skip(self) -> bool:
+        """
+        Handle skip dialog at the beginning of a career.
+        
+        When starting a career from the career loop, the game shows a skip dialog.
+        This method performs the following steps:
+        1. Click "button_skip" to open skip options
+        2. Wait 1 second
+        3. Click "no_skip" twice to decline skipping
+        4. Continue with normal career flow
+        
+        Returns:
+            True if skip dialog was handled successfully, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Handling career start skip dialog")
+        
+        try:
+            # Step 1: Click button_skip
+            logger_uma.debug("[CareerLoopAgent] Step 1: Clicking button_skip")
+            clicked_skip = self.waiter.click_when(
+                classes=["button_skip"],
+                timeout_s=10.0,
+                tag="career_start_skip_1",
+            )
+            
+            if not clicked_skip:
+                logger_uma.debug("[CareerLoopAgent] button_skip not found, may not be needed")
+                return True  # Not an error, skip dialog may not appear
+            
+            logger_uma.debug("[CareerLoopAgent] Clicked button_skip")
+            
+            # Step 2: Wait 1 second
+            time.sleep(1.0)
+            
+            # Step 3: Click no_skip twice
+            logger_uma.debug("[CareerLoopAgent] Step 3: Clicking no_skip (first time)")
+            clicked_no_skip_1 = self.waiter.click_when(
+                classes=["no_skip"],
+                timeout_s=5.0,
+                clicks=2,
+                tag="career_start_no_skip_1",
+            )
+            time.sleep(1)
+            if not clicked_no_skip_1:
+                logger_uma.warning("[CareerLoopAgent] Failed to click no_skip (first time)")
+                clicked_no_skip_2 = self.waiter.click_when(
+                    classes=["no_skip"],
+                    timeout_s=5.0,
+                    clicks=2,
+                    tag="career_start_no_skip_2",
+                )
+            
+            logger_uma.debug("[CareerLoopAgent] Clicked no_skip (first time), waiting briefly")
+            
+            time.sleep(1)
+            if self.waiter.click_when(
+                classes=["button_green"],
+                texts=["confirm"],
+                tag="career_start_confirm"
+            ):
+                logger_uma.info("[CareerLoopAgent] Skip dialog handled successfully")
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error handling career start skip: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _handle_career_completion(self) -> bool:
+        """
+        Handle career completion flow and return to home screen.
+        
+        This method performs the following steps:
+        1. Click "career_complete" button
+        2. Click "finish" button
+        3. Wait 5 seconds for results processing
+        4. Click "To Home", "Close", "Next" until ui_home is found
+           (avoiding "Edit Team" button)
+        
+        Returns:
+            True if successfully returned to home screen, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Handling career completion flow")
+        
+        try:
+            # Step 1: Click career_complete button
+            logger_uma.debug("[CareerLoopAgent] Step 1: Clicking career_complete button")
+            if not self.waiter.seen(classes=["career_complete"], tag="career_completion_check_career_complete"):
+                return False
+
+            clicked_complete = self.waiter.click_when(
+                classes=["career_complete"],
+                timeout_s=10.0,
+                tag="career_completion_1",
+            )
+            
+            if not clicked_complete:
+                logger_uma.warning("[CareerLoopAgent] Failed to click career_complete button")
+                # Try to continue anyway
+                return False
+            else:
+                logger_uma.debug("[CareerLoopAgent] Clicked career_complete button")
+                time.sleep(1.5)
+            
+            # Step 2: Click finish button
+            logger_uma.debug("[CareerLoopAgent] Step 2: Clicking finish button")
+            clicked_finish = self.waiter.click_when(
+                classes=["button_green", "button_blue"],
+                texts=["finish", "complete", "done"],
+                threshold=0.68,
+                timeout_s=10.0,
+                tag="career_completion_finish",
+            )
+            
+            if not clicked_finish:
+                logger_uma.warning("[CareerLoopAgent] Failed to click finish button")
+                # Try to continue anyway
+            else:
+                logger_uma.debug("[CareerLoopAgent] Clicked finish button")
+            
+            # Step 3: Wait 5 seconds for results processing
+            logger_uma.debug("[CareerLoopAgent] Step 3: Waiting 5 seconds for results processing")
+            time.sleep(5.0)
+            
+            # Step 4: Click through dialogs until we reach ui_home
+            logger_uma.debug("[CareerLoopAgent] Step 4: Clicking through dialogs to reach home")
+            max_clicks = 20  # Safety limit
+            clicks_count = 0
+            
+            while clicks_count < max_clicks:
+                clicks_count += 1
+                
+                # Check if we're at home screen
+                img, _, dets = self.yolo_engine.recognize(
+                    imgsz=832,
+                    conf=0.51,
+                    iou=0.45,
+                    tag="career_completion_check",
+                    agent="career_loop",
+                )
+                
+                from core.utils.yolo_objects import filter_by_classes as det_filter
+                home_dets = det_filter(dets, ["ui_home"])
+                
+                if home_dets:
+                    logger_uma.info("[CareerLoopAgent] Successfully reached home screen")
+                    return True
+                
+                # Try to click "To Home", "Close", "Next", "OK" buttons
+                clicked = self.waiter.click_when(
+                    classes=["ui_home", "button_green", "button_white", "button_blue", "button_close"],
+                    texts=["home", "close", "next", "ok", "confirm"],
+                    threshold=0.68,
+                    timeout_s=3.0,
+                    tag=f"career_completion_nav_{clicks_count}",
+                    forbid_texts=["edit", "team"],
+                )
+                
+                if not clicked:
+                    logger_uma.debug(
+                        "[CareerLoopAgent] No navigation button found (attempt %d/%d)",
+                        clicks_count,
+                        max_clicks,
+                    )
+                    # Wait a moment and try again
+                    time.sleep(1.0)
+                else:
+                    logger_uma.debug(
+                        "[CareerLoopAgent] Clicked navigation button (attempt %d/%d)",
+                        clicks_count,
+                        max_clicks,
+                    )
+                    # Wait for screen transition
+                    time.sleep(1.5)
+            
+            logger_uma.error(
+                "[CareerLoopAgent] Failed to reach home screen after %d clicks",
+                max_clicks,
+            )
+            return False
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error handling career completion: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _execute_career_cycle(self) -> bool:
+        """
+        Execute one complete career cycle.
+        
+        This method performs the following steps:
+        1. Navigate to career from main menu
+        2. Loop through setup screens (scenario, trainee, legacy)
+        3. Detect support formation screen
+        4. Handle support card selection
+        5. Confirm career start (double-click)
+        6. Launch agent_scenario and wait for completion
+        
+        Returns:
+            True if the career cycle completed successfully, False otherwise
+        """
+        logger_uma.info(
+            "[CareerLoopAgent] Starting career cycle %d",
+            self.state.total_careers_completed + 1,
+        )
+        
+        # Record start time
+        self.state.current_career_start_time = time.time()
+        
+        try:
+            #Check if in career mode
+            if self._check_if_in_career():
+                logger_uma.info("[CareerLoopAgent] Pre-Step: Career checker - Already in career")
+                return True
+            if self._handle_career_completion():
+                logger_uma.info("[CareerLoopAgent] Career Complete")
+                return True
+            # Step 1: Navigate to career from main menu
+            logger_uma.info("[CareerLoopAgent] Step 1: Navigating to career from main menu")
+            if not self.career_nav.navigate_to_career_from_menu():
+                logger_uma.error("[CareerLoopAgent] Failed to navigate to career")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] Navigation to career successful")
+            
+            # Step 2: Loop through setup screens
+            logger_uma.info("[CareerLoopAgent] Step 2: Handling setup screens")
+            
+            # We need to handle multiple setup screens until we reach support formation
+            # The design specifies we should loop through setup screens
+            max_setup_screens = 10  # Safety limit to prevent infinite loops
+            setup_screen_count = 0
+            
+            while setup_screen_count < max_setup_screens:
+                setup_screen_count += 1
+                
+                logger_uma.debug(
+                    "[CareerLoopAgent] Handling setup screen %d/%d",
+                    setup_screen_count,
+                    max_setup_screens,
+                )
+                
+                # Check if we've reached support formation screen
+                # We'll try to detect it by checking for career_add_friend_support button
+                img, _, dets = self.yolo_engine.recognize(
+                    imgsz=832,
+                    conf=0.51,
+                    iou=0.45,
+                    tag="career_cycle_check",
+                    agent="career_loop",
+                )
+                
+                # Check for support formation screen indicator
+                from core.utils.yolo_objects import filter_by_classes as det_filter
+                support_button_dets = det_filter(dets, ["career_add_friend_support"])
+                
+                if support_button_dets:
+                    logger_uma.info("[CareerLoopAgent] Detected support formation screen")
+                    break
+                
+                # Not on support formation yet, handle current setup screen
+                if not self.career_nav.handle_setup_screen():
+                    logger_uma.warning(
+                        "[CareerLoopAgent] Failed to handle setup screen %d",
+                        setup_screen_count,
+                    )
+                    # Try to continue anyway
+                    time.sleep(1.0)
+                else:
+                    # Wait a moment for screen transition
+                    time.sleep(1.0)
+            
+            if setup_screen_count >= max_setup_screens:
+                logger_uma.error(
+                    "[CareerLoopAgent] Exceeded max setup screens (%d), may be stuck",
+                    max_setup_screens,
+                )
+                return False
+            
+            # Step 3: Handle support formation screen
+            logger_uma.info("[CareerLoopAgent] Step 3: Selecting optimal support card")
+            if not self.support_select.select_optimal_support():
+                logger_uma.error("[CareerLoopAgent] Failed to select support card")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] Support card selected successfully")
+            
+            # Step 4: Confirm career start
+            logger_uma.info("[CareerLoopAgent] Step 4: Confirming career start")
+            if not self._confirm_career_start():
+                logger_uma.error("[CareerLoopAgent] Failed to confirm career start")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] Career start confirmed")
+            
+            # Step 5: Launch agent_scenario
+            logger_uma.info("[CareerLoopAgent] Step 5: Launching training agent")
+            
+            # Wait a moment for career to fully start
+            time.sleep(3.0)
+            
+            # Step 5a: Handle skip dialog at career start
+            logger_uma.info("[CareerLoopAgent] Step 5a: Handling skip dialog")
+            if not self._handle_career_start_skip():
+                logger_uma.warning("[CareerLoopAgent] Failed to handle skip dialog, continuing anyway")
+                # Continue even if skip handling fails
+            
+            # Run the agent scenario
+            # The agent will run until the career is complete
+            logger_uma.info("[CareerLoopAgent] Running agent scenario...")
+            self.agent_scenario.run()
+            
+            logger_uma.info(
+                "[CareerLoopAgent] Agent scenario completed for career %d",
+                self.state.total_careers_completed + 1,
+            )
+            
+            # Step 6: Handle career completion and return to home
+            logger_uma.info("[CareerLoopAgent] Step 6: Handling career completion")
+            if not self._handle_career_completion():
+                logger_uma.error("[CareerLoopAgent] Failed to handle career completion")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] Career completion handled successfully")
+            
+            # Calculate cycle time
+            if self.state.current_career_start_time:
+                cycle_time = time.time() - self.state.current_career_start_time
+                logger_uma.info(
+                    "[CareerLoopAgent] Career cycle completed in %.1f seconds (%.1f minutes)",
+                    cycle_time,
+                    cycle_time / 60.0,
+                )
+            
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error during career cycle: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _return_to_main_menu(self) -> bool:
+        """
+        Return to main menu for error recovery.
+        
+        This method attempts to return to the main menu by clicking the
+        ui_home button. This is used for error recovery when something
+        goes wrong during the career cycle.
+        
+        Returns:
+            True if successfully returned to main menu, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Attempting to return to main menu for recovery")
+        
+        try:
+            # Click ui_home button to return to main menu
+            clicked = self.waiter.click_when(
+                classes=["ui_home"],
+                timeout_s=5.0,
+                tag="career_loop_recovery",
+            )
+            
+            if clicked:
+                logger_uma.info("[CareerLoopAgent] Successfully returned to main menu")
+                # Wait a moment for menu to stabilize
+                time.sleep(1.0)
+                return True
+            else:
+                logger_uma.warning("[CareerLoopAgent] Failed to click ui_home button for recovery")
+                return False
+                
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error returning to main menu: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+    
+    def _execute_career_cycle_with_recovery(self) -> bool:
+        """
+        Execute career cycle with error recovery wrapper.
+        
+        This method wraps _execute_career_cycle with retry logic and error handling:
+        - Retries up to 3 times on failure
+        - Handles different exception types appropriately
+        - Updates CareerLoopState on success/error
+        - Returns to main menu on errors
+        
+        Returns:
+            True if career cycle completed successfully, False otherwise
+        """
+        max_retries = 3
+        
+        for attempt in range(max_retries):
+            try:
+                logger_uma.debug(
+                    "[CareerLoopAgent] Career cycle attempt %d/%d",
+                    attempt + 1,
+                    max_retries,
+                )
+                
+                # Execute the career cycle
+                success = self._execute_career_cycle()
+                
+                if success:
+                    # Record success and reset error tracking
+                    self.state.record_success()
+                    logger_uma.info(
+                        "[CareerLoopAgent] Career cycle successful (total: %d)",
+                        self.state.total_careers_completed,
+                    )
+                    return True
+                else:
+                    # Cycle failed, but no exception was raised
+                    error_msg = f"Career cycle failed on attempt {attempt + 1}/{max_retries}"
+                    logger_uma.warning("[CareerLoopAgent] %s", error_msg)
+                    
+                    # Try to return to main menu for recovery
+                    if attempt < max_retries - 1:
+                        logger_uma.info("[CareerLoopAgent] Attempting recovery...")
+                        self._return_to_main_menu()
+                        time.sleep(2.0)  # Wait before retry
+                    else:
+                        # Last attempt failed
+                        self.state.record_error(error_msg)
+                        logger_uma.error(
+                            "[CareerLoopAgent] All retry attempts exhausted (%d consecutive errors)",
+                            self.state.consecutive_errors,
+                        )
+                        return False
+                        
+            except KeyboardInterrupt:
+                # User requested stop, propagate immediately
+                logger_uma.info("[CareerLoopAgent] Keyboard interrupt received")
+                raise
+                
+            except Exception as e:
+                error_msg = f"Exception during career cycle: {type(e).__name__}: {str(e)}"
+                logger_uma.error(
+                    "[CareerLoopAgent] %s (attempt %d/%d)",
+                    error_msg,
+                    attempt + 1,
+                    max_retries,
+                    exc_info=True,
+                )
+                
+                # Try to return to main menu for recovery
+                if attempt < max_retries - 1:
+                    logger_uma.info("[CareerLoopAgent] Attempting recovery...")
+                    try:
+                        self._return_to_main_menu()
+                        time.sleep(2.0)  # Wait before retry
+                    except Exception as recovery_error:
+                        logger_uma.error(
+                            "[CareerLoopAgent] Recovery failed: %s",
+                            str(recovery_error),
+                        )
+                        # Continue to next retry anyway
+                else:
+                    # Last attempt failed
+                    self.state.record_error(error_msg)
+                    logger_uma.error(
+                        "[CareerLoopAgent] All retry attempts exhausted (%d consecutive errors)",
+                        self.state.consecutive_errors,
+                    )
+                    return False
+        
+        # Should not reach here, but handle it anyway
+        self.state.record_error("Max retries exceeded")
+        return False
+
+    def _check_if_in_career(self) -> bool:
+        """
+        Check if we're already in an active career (lobby or training screen).
+        
+        This method detects if we're currently in a career by looking for
+        the career_step indicator and OCR'ing its text to confirm it says "Career".
+        
+        Returns:
+            True if we're in an active career, False otherwise
+        """
+        try:
+            logger_uma.debug("[CareerLoopAgent] Checking if already in career...")
+            
+            # Capture current screen and detect career_step
+            img, _, dets = self.yolo_engine.recognize(
+                imgsz=832,
+                conf=0.51,
+                iou=0.45,
+                tag="career_check_in_career",
+                agent="career_loop",
+            )
+            
+            from core.utils.yolo_objects import filter_by_classes as det_filter
+            career_step_dets = det_filter(dets, ["career_step"])
+            
+            if not career_step_dets:
+                logger_uma.debug("[CareerLoopAgent] No career_step detected - not in career")
+                return False
+            
+            # OCR the career_step region to check if it says "Career"
+            if not self.ocr:
+                logger_uma.warning("[CareerLoopAgent] OCR not available, cannot verify career_step text")
+                return False
+            
+            # Use the first career_step detection
+            career_step_det = career_step_dets[0]
+            region = crop_pil(img, career_step_det["xyxy"], pad=0)
+            text = self.ocr.text(region, min_conf=0.2).strip().lower()
+            
+            logger_uma.debug(
+                "[CareerLoopAgent] career_step OCR text: '%s' (conf=%.3f)",
+                text,
+                career_step_det.get("conf", 0.0),
+            )
+            
+            # Check if text contains "career"
+            if "career" in text or "training" in text:
+                logger_uma.info(f"[CareerLoopAgent] Detected career_step with {text} text - already in career!")
+                self.state.is_running = True
+                self.agent_scenario.run()
+                return True
+            else:
+                logger_uma.debug(
+                    "[CareerLoopAgent] career_step text '%s' does not contain 'career' - not in career",
+                    text,
+                )
+                return False
+                
+        except Exception as e:
+            logger_uma.warning(
+                "[CareerLoopAgent] Error checking if in career: %s",
+                str(e),
+            )
+            return False
+
+    def run(self, max_loops: Optional[int] = None) -> None:
+        """
+        Main loop: navigate → setup → launch agent → repeat.
+        
+        This method runs the career automation loop until one of the following occurs:
+        - F1 is pressed (abort signal)
+        - max_careers limit is reached
+        - error_threshold consecutive errors occur
+        
+        The loop executes career cycles with recovery, checks abort signals between
+        iterations, and maintains comprehensive statistics.
+        
+        Args:
+            max_loops: Override for max_careers (for testing purposes)
+        """
+        # Use provided max_loops or fall back to configured max_careers
+        effective_max = max_loops if max_loops is not None else self.max_careers
+        
+        logger_uma.info(
+            "[CareerLoopAgent] Starting career loop: max_careers=%s error_threshold=%d",
+            effective_max if effective_max is not None else "infinite",
+            self.error_threshold,
+        )
+        
+        # Check if we're already in an active career
+        if self._check_if_in_career():
+            logger_uma.info(
+                "[CareerLoopAgent] Already in career - spawning agent directly without navigation"
+            )
+            
+            # Set running flag
+            self.state.is_running = True
+            
+            try:
+                # Run the agent scenario directly
+                logger_uma.info("[CareerLoopAgent] Running agent scenario for existing career...")
+                self.agent_scenario.run()
+                
+                logger_uma.info("[CareerLoopAgent] Agent scenario completed")
+                
+                # Handle career completion and return to home
+                logger_uma.info("[CareerLoopAgent] Handling career completion")
+                if self._handle_career_completion():
+                    self.state.record_success()
+                    logger_uma.info(
+                        "[CareerLoopAgent] Career completed successfully (total: %d)",
+                        self.state.total_careers_completed,
+                    )
+                else:
+                    logger_uma.warning("[CareerLoopAgent] Failed to handle career completion")
+                    self.state.record_error("Failed to handle career completion")
+                    
+            except KeyboardInterrupt:
+                logger_uma.info("[CareerLoopAgent] Keyboard interrupt received")
+                raise
+                
+            except Exception as e:
+                error_msg = f"Exception during in-career agent run: {type(e).__name__}: {str(e)}"
+                logger_uma.error("[CareerLoopAgent] %s", error_msg, exc_info=True)
+                self.state.record_error(error_msg)
+            
+            # After handling the existing career, check if we should continue
+            if abort_requested():
+                logger_uma.info("[CareerLoopAgent] Abort signal detected after existing career, stopping")
+                self.state.is_running = False
+                return
+            
+            logger_uma.info("[CareerLoopAgent] Existing career handled, continuing with normal loop")
+        
+        # Set running flag (or keep it if already set from above)
+        self.state.is_running = True
+        
+        # Initialize loop counter
+        loop_iteration = 0
+        
+        try:
+            while self.state.is_running:
+                loop_iteration += 1
+                
+                # Check abort signal before starting new career
+                if abort_requested():
+                    logger_uma.info(
+                        "[CareerLoopAgent] Abort signal detected, stopping loop"
+                    )
+                    break
+                
+                # Check if we've reached max careers limit
+                if effective_max is not None and self.state.total_careers_completed >= effective_max:
+                    logger_uma.info(
+                        "[CareerLoopAgent] Reached max careers limit (%d), stopping loop",
+                        effective_max,
+                    )
+                    break
+                
+                # Check if we've exceeded error threshold
+                if self.state.consecutive_errors >= self.error_threshold:
+                    logger_uma.error(
+                        "[CareerLoopAgent] Exceeded error threshold (%d consecutive errors), stopping loop",
+                        self.state.consecutive_errors,
+                    )
+                    break
+                
+                # Log loop statistics
+                logger_uma.info(
+                    "[CareerLoopAgent] Loop iteration %d: careers_completed=%d consecutive_errors=%d",
+                    loop_iteration,
+                    self.state.total_careers_completed,
+                    self.state.consecutive_errors,
+                )
+                
+                # Execute career cycle with recovery
+                cycle_start_time = time.time()
+                success = self._execute_career_cycle_with_recovery()
+                cycle_duration = time.time() - cycle_start_time
+                
+                if success:
+                    logger_uma.info(
+                        "[CareerLoopAgent] Career cycle %d completed successfully in %.1f seconds",
+                        loop_iteration,
+                        cycle_duration,
+                    )
+                else:
+                    logger_uma.warning(
+                        "[CareerLoopAgent] Career cycle %d failed after %.1f seconds",
+                        loop_iteration,
+                        cycle_duration,
+                    )
+                
+                # Check abort signal after career cycle
+                if abort_requested():
+                    logger_uma.info(
+                        "[CareerLoopAgent] Abort signal detected after career cycle, stopping loop"
+                    )
+                    break
+                
+                # Brief pause between careers
+                if self.state.is_running:
+                    time.sleep(1.0)
+        
+        except KeyboardInterrupt:
+            logger_uma.info("[CareerLoopAgent] Keyboard interrupt received, stopping loop")
+        
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Unexpected error in main loop: %s",
+                str(e),
+                exc_info=True,
+            )
+        
+        finally:
+            # Set running flag to False
+            self.state.is_running = False
+            
+            # Log final statistics
+            logger_uma.info(
+                "[CareerLoopAgent] Career loop stopped: total_careers=%d consecutive_errors=%d last_error='%s'",
+                self.state.total_careers_completed,
+                self.state.consecutive_errors,
+                self.state.last_error or "none",
+            )
+
+    def emergency_stop(self) -> None:
+        """
+        Emergency stop for immediate loop termination.
+        
+        This method provides a cooperative emergency stop mechanism:
+        - Sets is_running flag to False to stop the main loop
+        - Signals agent_scenario to stop using request_abort()
+        - Cleans up resources
+        - Logs the emergency stop event
+        
+        This is a best-effort immediate stop that allows the current
+        operation to complete gracefully before terminating.
+        """
+        logger_uma.warning("[CareerLoopAgent] Emergency stop requested")
+        
+        try:
+            # Set running flag to False
+            self.state.is_running = False
+            
+            # Signal agent_scenario to stop
+            request_abort()
+            
+            # If agent_scenario has an emergency_stop method, call it
+            if hasattr(self.agent_scenario, 'emergency_stop'):
+                try:
+                    self.agent_scenario.emergency_stop()
+                except Exception as e:
+                    logger_uma.error(
+                        "[CareerLoopAgent] Error calling agent_scenario.emergency_stop: %s",
+                        str(e),
+                    )
+            
+            logger_uma.info("[CareerLoopAgent] Emergency stop completed")
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error during emergency stop: %s",
+                str(e),
+                exc_info=True,
+            )
diff --git a/core/actions/career_loop_types.py b/core/actions/career_loop_types.py
new file mode 100644
index 00000000..9bada8c6
--- /dev/null
+++ b/core/actions/career_loop_types.py
@@ -0,0 +1,121 @@
+"""
+Data models and enumerations for the Career Automation Loop.
+
+This module defines the core types used throughout the career loop workflow:
+- CareerStep: Enumeration of career setup screens
+- SupportCardInfo: Information extracted from support card containers
+- CareerLoopState: State tracking for the automation loop
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Optional, Tuple
+
+from core.types import DetectionDict, XYXY
+
+
+class CareerStep(str, Enum):
+    """
+    Enumeration of career setup screens.
+    
+    These represent the different screens a player encounters when
+    starting a new career from the main menu.
+    """
+    
+    SCENARIO_SELECT = "scenario_select"
+    TRAINEE_SELECT = "trainee_select"
+    LEGACY_SELECT = "legacy_select"
+    SUPPORT_FORMATION = "support_formation"
+    UNKNOWN = "unknown"
+
+
+@dataclass(frozen=True)
+class SupportCardInfo:
+    """
+    Information extracted from a support card container.
+    
+    This dataclass holds all relevant information about a support card
+    that appears in the friend support selection popup.
+    
+    Attributes:
+        name: The support card character name (e.g., "Riko Kashimoto")
+        level: The support card level (1-50)
+        xyxy: Bounding box coordinates for clicking (x1, y1, x2, y2)
+        container_detection: Original YOLO detection dict for the container
+    """
+    
+    name: str
+    level: int
+    xyxy: XYXY
+    container_detection: DetectionDict
+    
+    def matches_criteria(
+        self, 
+        target_name: str, 
+        target_level: int
+    ) -> bool:
+        """
+        Check if this card matches target criteria.
+        
+        Uses case-insensitive name matching and exact level matching.
+        
+        Args:
+            target_name: The desired support card name
+            target_level: The desired support card level
+            
+        Returns:
+            True if both name and level match, False otherwise
+        """
+        return (
+            self.level == target_level and
+            self.name.lower() == target_name.lower()
+        )
+
+
+@dataclass
+class CareerLoopState:
+    """
+    Tracks state of career automation loop.
+    
+    This dataclass maintains runtime state for the career loop agent,
+    including success/error tracking and timing information.
+    
+    Attributes:
+        total_careers_completed: Count of successfully completed careers
+        current_career_start_time: Unix timestamp when current career started (None if not running)
+        last_error: Description of the most recent error (None if no errors)
+        consecutive_errors: Count of errors without a successful career in between
+        is_running: Whether the loop is currently active
+    """
+    
+    total_careers_completed: int = 0
+    current_career_start_time: Optional[float] = None
+    last_error: Optional[str] = None
+    consecutive_errors: int = 0
+    is_running: bool = False
+    
+    def record_success(self) -> None:
+        """
+        Record successful career completion.
+        
+        Increments the completion counter and resets error tracking.
+        """
+        self.total_careers_completed += 1
+        self.consecutive_errors = 0
+        self.last_error = None
+        self.current_career_start_time = None
+        
+    def record_error(self, error: str) -> None:
+        """
+        Record error during career cycle.
+        
+        Increments the consecutive error counter and stores the error message.
+        
+        Args:
+            error: Description of the error that occurred
+        """
+        self.consecutive_errors += 1
+        self.last_error = error
+        self.current_career_start_time = None
diff --git a/core/actions/career_nav_flow.py b/core/actions/career_nav_flow.py
new file mode 100644
index 00000000..26e08aa7
--- /dev/null
+++ b/core/actions/career_nav_flow.py
@@ -0,0 +1,267 @@
+"""
+Career Navigation Flow for Career Automation Loop.
+
+This module handles navigation from the main menu through career setup screens,
+including scenario selection, trainee selection, legacy selection, and support
+card formation screens.
+"""
+
+from __future__ import annotations
+
+from typing import Optional
+
+from core.actions.career_loop_types import CareerStep
+from core.controllers.base import IController
+from core.perception.ocr.interface import OCRInterface
+from core.perception.yolo.interface import IDetector
+from core.utils.logger import logger_uma
+from core.utils.waiter import Waiter
+from core.utils.yolo_objects import filter_by_classes as det_filter
+
+
+class CareerNavFlow:
+    """
+    Handles navigation from main menu through career setup screens.
+    
+    This class manages the complete navigation flow from the main menu
+    to the career mode, handling all intermediate setup screens with
+    intelligent fallback behavior when screen detection is uncertain.
+    
+    Attributes:
+        ctrl: Controller for input and screen capture
+        ocr: OCR engine for text recognition
+        yolo_engine: YOLO detection engine for UI elements
+        waiter: Synchronization utility for UI state transitions
+        timeout_navigation: Timeout for navigation operations (seconds)
+        timeout_screen_transition: Timeout for screen transitions (seconds)
+    """
+    
+    def __init__(
+        self,
+        ctrl: IController,
+        ocr: Optional[OCRInterface],
+        yolo_engine: IDetector,
+        waiter: Waiter,
+        *,
+        timeout_navigation: float = 5.0,
+        timeout_screen_transition: float = 4.0,
+    ):
+        """
+        Initialize CareerNavFlow with infrastructure components.
+        
+        Args:
+            ctrl: Controller for input and screen capture
+            ocr: OCR engine for text recognition (optional)
+            yolo_engine: YOLO detection engine
+            waiter: Waiter for UI synchronization
+            timeout_navigation: Timeout for navigation operations (default: 5.0s)
+            timeout_screen_transition: Timeout for screen transitions (default: 4.0s)
+        """
+        self.ctrl = ctrl
+        self.ocr = ocr
+        self.yolo_engine = yolo_engine
+        self.waiter = waiter
+        
+        # Configuration
+        self.timeout_navigation = timeout_navigation
+        self.timeout_screen_transition = timeout_screen_transition
+        
+        logger_uma.debug(
+            "[CareerNavFlow] Initialized with timeouts: navigation=%.1fs, transition=%.1fs",
+            timeout_navigation,
+            timeout_screen_transition,
+        )
+    
+    def navigate_to_career_from_menu(self) -> bool:
+        """
+        Navigate from main menu to career mode.
+        
+        This method performs the following steps:
+        1. Click ui_home button to ensure we're at the main menu
+        2. Wait for ui_career button to appear
+        3. Click ui_career button to enter career mode
+        
+        Returns:
+            True if navigation was successful, False otherwise
+        """
+        logger_uma.info("[CareerNavFlow] Starting navigation from main menu to career")
+        
+        try:
+            # Step 1: Click ui_home button
+            logger_uma.debug("[CareerNavFlow] Clicking ui_home button")
+            clicked_home = self.waiter.click_when(
+                classes=["ui_home"],
+                timeout_s=self.timeout_navigation,
+                tag="career_nav_home",
+            )
+            
+            if not clicked_home:
+                logger_uma.warning("[CareerNavFlow] Failed to click ui_home button")
+                return False
+            
+            logger_uma.debug("[CareerNavFlow] Successfully clicked ui_home button")
+            
+            # Step 2: Wait for and click ui_career button
+            logger_uma.debug("[CareerNavFlow] Waiting for ui_career button")
+            clicked_career = self.waiter.click_when(
+                classes=["ui_career"],
+                timeout_s=self.timeout_navigation,
+                tag="career_nav_career",
+            )
+            
+            if not clicked_career:
+                logger_uma.warning("[CareerNavFlow] Failed to click ui_career button")
+                return False
+            
+            logger_uma.info("[CareerNavFlow] Successfully navigated to career mode")
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerNavFlow] Error during navigation: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+    
+    def _extract_career_step(self) -> CareerStep:
+        """
+        Extract career_step indicator from current screen.
+        
+        Uses YOLO detection to identify which career setup screen is currently
+        displayed. This helps route to the appropriate handler for each screen.
+        
+        Returns:
+            CareerStep enum value indicating the current screen, or UNKNOWN if
+            the step cannot be determined
+        """
+        try:
+            # Capture current screen and run YOLO detection
+            img, _, dets = self.yolo_engine.recognize(
+                imgsz=832,
+                conf=0.51,
+                iou=0.45,
+                tag="career_step_extract",
+                agent="career_loop",
+            )
+            
+            # Look for career_step class in detections
+            step_dets = det_filter(dets, ["career_step"])
+            
+            if not step_dets:
+                logger_uma.debug("[CareerNavFlow] No career_step indicator detected")
+                return CareerStep.UNKNOWN
+            
+            # For now, we'll use a simple heuristic based on detection confidence
+            # In a full implementation, you might OCR the step indicator or use
+            # additional context clues to determine the exact step
+            
+            # This is a placeholder - in practice, you'd need to determine which
+            # specific step based on the detection or additional screen context
+            logger_uma.debug(
+                "[CareerNavFlow] Detected career_step indicator but cannot determine specific step"
+            )
+            return CareerStep.UNKNOWN
+            
+        except Exception as e:
+            logger_uma.warning(
+                "[CareerNavFlow] Error extracting career_step: %s",
+                str(e),
+            )
+            return CareerStep.UNKNOWN
+    
+    def handle_setup_screen(self) -> bool:
+        """
+        Handle current career setup screen.
+        
+        This method:
+        1. Extracts the current career_step from the screen
+        2. Routes to the appropriate handler based on the step
+        3. Falls back to clicking "Next" button if step is unknown
+        
+        Returns:
+            True if the screen was handled successfully and advanced to the
+            next screen, False otherwise
+        """
+        logger_uma.debug("[CareerNavFlow] Handling setup screen")
+        
+        try:
+            # Extract current step
+            step = self._extract_career_step()
+            
+            logger_uma.debug("[CareerNavFlow] Current career step: %s", step.value)
+            
+            # Route based on step
+            if step == CareerStep.SCENARIO_SELECT:
+                logger_uma.info("[CareerNavFlow] On scenario selection screen")
+                return self._click_next_button()
+                
+            elif step == CareerStep.TRAINEE_SELECT:
+                logger_uma.info("[CareerNavFlow] On trainee selection screen")
+                return self._click_next_button()
+                
+            elif step == CareerStep.LEGACY_SELECT:
+                logger_uma.info("[CareerNavFlow] On legacy selection screen")
+                return self._click_next_button()
+                
+            elif step == CareerStep.SUPPORT_FORMATION:
+                logger_uma.info("[CareerNavFlow] On support formation screen")
+                # Support formation is handled by SupportSelectFlow, not here
+                # Return True to indicate we've identified the screen
+                return True
+                
+            else:  # CareerStep.UNKNOWN
+                logger_uma.debug(
+                    "[CareerNavFlow] Unknown career step, using fallback behavior"
+                )
+                return self._click_next_button()
+                
+        except Exception as e:
+            logger_uma.error(
+                "[CareerNavFlow] Error handling setup screen: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+    
+    def _click_next_button(self) -> bool:
+        """
+        Fallback behavior: click button_green with "Next" text.
+        
+        This method is used when the career_step cannot be determined or as
+        the default action for most setup screens. It looks for a green button
+        with "Next" text and clicks it.
+        
+        If multiple green buttons are present, OCR is used to disambiguate and
+        select the one with "Next" text.
+        
+        Returns:
+            True if the Next button was clicked successfully, False otherwise
+        """
+        logger_uma.debug("[CareerNavFlow] Attempting to click Next button")
+        
+        try:
+            # Use waiter to click button_green with "Next" text
+            # The waiter will handle OCR disambiguation if multiple buttons exist
+            clicked = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["next"],
+                threshold=0.68,
+                timeout_s=self.timeout_screen_transition,
+                tag="career_nav_next",
+            )
+            
+            if clicked:
+                logger_uma.debug("[CareerNavFlow] Successfully clicked Next button")
+                return True
+            else:
+                logger_uma.warning("[CareerNavFlow] Failed to find/click Next button")
+                return False
+                
+        except Exception as e:
+            logger_uma.error(
+                "[CareerNavFlow] Error clicking Next button: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
diff --git a/core/actions/support_select_flow.py b/core/actions/support_select_flow.py
new file mode 100644
index 00000000..27f00912
--- /dev/null
+++ b/core/actions/support_select_flow.py
@@ -0,0 +1,590 @@
+"""
+Support Card Selection Flow for Career Automation Loop.
+
+This module handles the intelligent selection of support cards during career
+initialization, including scanning available cards, matching against preferences,
+and refreshing the list when needed.
+"""
+
+from __future__ import annotations
+
+import time
+from typing import List, Optional
+
+from core.actions.career_loop_types import SupportCardInfo
+from core.controllers.base import IController
+from core.perception.ocr.interface import OCRInterface
+from core.perception.yolo.interface import IDetector
+from core.types import XYXY
+from core.utils.geometry import crop_pil
+from core.utils.logger import logger_uma
+from core.utils.text import fuzzy_ratio
+from core.utils.waiter import Waiter
+from core.utils.yolo_objects import filter_by_classes as det_filter
+
+
+class SupportSelectFlow:
+    """
+    Handles support card selection with intelligent retry logic.
+    
+    This class manages the complete support card selection workflow:
+    - Opening the support card selection popup
+    - Scanning all available support cards
+    - Extracting level and name from each card
+    - Finding the optimal support matching preferences
+    - Refreshing the support list if needed
+    - Falling back to top support after max refreshes
+    
+    Attributes:
+        ctrl: Controller for input and screen capture
+        ocr: OCR engine for text recognition
+        yolo_engine: YOLO detection engine for UI elements
+        waiter: Synchronization utility for UI state transitions
+        preferred_support: Name of the preferred support card (e.g., "Riko Kashimoto")
+        preferred_level: Desired support card level (1-50)
+        max_refresh_attempts: Maximum number of times to refresh the support list
+        refresh_wait_seconds: Wait time after clicking refresh button
+        timeout_popup: Timeout for popup operations (seconds)
+        timeout_scan: Timeout for scanning operations (seconds)
+    """
+    
+    def __init__(
+        self,
+        ctrl: IController,
+        ocr: Optional[OCRInterface],
+        yolo_engine: IDetector,
+        waiter: Waiter,
+        *,
+        preferred_support: str = "Riko Kashimoto",
+        preferred_level: int = 50,
+        max_refresh_attempts: int = 3,
+        refresh_wait_seconds: float = 5.0,
+        timeout_popup: float = 4.0,
+        timeout_scan: float = 3.0,
+    ):
+        """
+        Initialize SupportSelectFlow with configuration.
+        
+        Args:
+            ctrl: Controller for input and screen capture
+            ocr: OCR engine for text recognition (optional)
+            yolo_engine: YOLO detection engine
+            waiter: Waiter for UI synchronization
+            preferred_support: Name of the preferred support card (default: "Riko Kashimoto")
+            preferred_level: Desired support card level (default: 50)
+            max_refresh_attempts: Maximum refresh attempts (default: 3)
+            refresh_wait_seconds: Wait time after refresh (default: 5.0s)
+            timeout_popup: Timeout for popup operations (default: 4.0s)
+            timeout_scan: Timeout for scanning operations (default: 3.0s)
+        """
+        self.ctrl = ctrl
+        self.ocr = ocr
+        self.yolo_engine = yolo_engine
+        self.waiter = waiter
+        
+        # Configuration
+        self.preferred_support = preferred_support
+        self.preferred_level = preferred_level
+        self.max_refresh_attempts = max_refresh_attempts
+        self.refresh_wait_seconds = refresh_wait_seconds
+        self.timeout_popup = timeout_popup
+        self.timeout_scan = timeout_scan
+        
+        logger_uma.debug(
+            "[SupportSelectFlow] Initialized: preferred='%s' level=%d max_refresh=%d",
+            preferred_support,
+            preferred_level,
+            max_refresh_attempts,
+        )
+    
+    def select_optimal_support(self) -> bool:
+        """
+        Main entry point: open popup, find/select optimal support.
+        
+        This method orchestrates the complete support selection workflow:
+        1. Open the support card selection popup
+        2. Loop up to max_refresh_attempts times:
+           a. Scan all available support cards
+           b. Find optimal support matching criteria
+           c. If found, select and return success
+           d. If not found, refresh the list and retry
+        3. If not found after max attempts, select top support as fallback
+        
+        Returns:
+            True if a support card was selected successfully, False otherwise
+        """
+        logger_uma.info(
+            "[SupportSelectFlow] Starting support selection: target='%s' level=%d",
+            self.preferred_support,
+            self.preferred_level,
+        )
+        
+        try:
+            # Step 1: Open support popup
+            if not self._open_support_popup():
+                logger_uma.error("[SupportSelectFlow] Failed to open support popup")
+                return False
+            
+            # Step 2: Loop through refresh attempts
+            for attempt in range(self.max_refresh_attempts + 1):
+                logger_uma.debug(
+                    "[SupportSelectFlow] Scan attempt %d/%d",
+                    attempt + 1,
+                    self.max_refresh_attempts + 1,
+                )
+                
+                # Scan available support cards
+                cards = self._scan_support_cards()
+                
+                if not cards:
+                    logger_uma.warning(
+                        "[SupportSelectFlow] No support cards found on attempt %d",
+                        attempt + 1,
+                    )
+                    
+                    # Try refreshing if we have attempts left
+                    if attempt < self.max_refresh_attempts:
+                        logger_uma.info("[SupportSelectFlow] Refreshing support list...")
+                        if self._refresh_support_list():
+                            continue
+                        else:
+                            logger_uma.warning("[SupportSelectFlow] Refresh failed")
+                            break
+                    else:
+                        logger_uma.error("[SupportSelectFlow] No cards found after all attempts")
+                        return False
+                
+                logger_uma.info(
+                    "[SupportSelectFlow] Found %d support cards",
+                    len(cards),
+                )
+                
+                # Find optimal support
+                optimal = self._find_optimal_support(cards)
+                
+                if optimal:
+                    logger_uma.info(
+                        "[SupportSelectFlow] Found optimal support: '%s' level %d",
+                        optimal.name,
+                        optimal.level,
+                    )
+                    return self._select_support_card(optimal)
+                
+                # Not found - try refreshing if we have attempts left
+                if attempt < self.max_refresh_attempts:
+                    logger_uma.info(
+                        "[SupportSelectFlow] Optimal support not found, refreshing... (%d/%d)",
+                        attempt + 1,
+                        self.max_refresh_attempts,
+                    )
+                    if not self._refresh_support_list():
+                        logger_uma.warning("[SupportSelectFlow] Refresh failed")
+                        break
+                else:
+                    logger_uma.warning(
+                        "[SupportSelectFlow] Optimal support not found after %d attempts",
+                        self.max_refresh_attempts + 1,
+                    )
+            
+            # Step 3: Fallback to top support
+            logger_uma.info("[SupportSelectFlow] Using fallback: selecting top support")
+            
+            # Scan one more time to get current cards
+            cards = self._scan_support_cards()
+            
+            if not cards:
+                logger_uma.error("[SupportSelectFlow] No cards available for fallback")
+                return False
+            
+            # Select the first (top) card
+            top_card = cards[0]
+            logger_uma.info(
+                "[SupportSelectFlow] Selecting fallback support: '%s' level %d",
+                top_card.name,
+                top_card.level,
+            )
+            return self._select_support_card(top_card)
+            
+        except Exception as e:
+            logger_uma.error(
+                "[SupportSelectFlow] Error during support selection: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+    
+    def _open_support_popup(self) -> bool:
+        """
+        Click career_add_friend_support button to open the support card list popup.
+        
+        Returns:
+            True if popup opened successfully, False otherwise
+        """
+        logger_uma.debug("[SupportSelectFlow] Opening support card popup")
+        
+        try:
+            # Click the add friend support button
+            clicked = self.waiter.click_when(
+                classes=["career_add_friend_support"],
+                timeout_s=self.timeout_popup,
+                tag="support_open_popup",
+            )
+            
+            if not clicked:
+                logger_uma.warning(
+                    "[SupportSelectFlow] Failed to click career_add_friend_support button"
+                )
+                return False
+            
+            # Wait a moment for popup to appear
+            time.sleep(0.5)
+            
+            logger_uma.debug("[SupportSelectFlow] Support popup opened successfully")
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[SupportSelectFlow] Error opening support popup: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+    
+    def _scan_support_cards(self) -> List[SupportCardInfo]:
+        """
+        Scan all career_support_container elements and extract information.
+        
+        This method:
+        1. Detects all career_support_container elements using YOLO
+        2. For each container, extracts career_support_level using OCR
+        3. For each container, extracts career_support_name using OCR
+        4. Creates SupportCardInfo objects with extracted data
+        
+        Returns:
+            List of SupportCardInfo objects for all scanned support cards
+        """
+        logger_uma.debug("[SupportSelectFlow] Scanning support cards")
+        
+        try:
+            # Capture current screen and run YOLO detection
+            img, _, dets = self.yolo_engine.recognize(
+                imgsz=832,
+                conf=0.51,
+                iou=0.45,
+                tag="support_scan",
+                agent="career_loop",
+            )
+            
+            # Filter for support card containers
+            container_dets = det_filter(dets, ["career_support_container"])
+            
+            if not container_dets:
+                logger_uma.debug("[SupportSelectFlow] No support containers detected")
+                return []
+            
+            logger_uma.debug(
+                "[SupportSelectFlow] Found %d support containers",
+                len(container_dets),
+            )
+            
+            # Extract information from each container
+            cards: List[SupportCardInfo] = []
+            
+            for i, container in enumerate(container_dets):
+                try:
+                    card_info = self._extract_card_info(img, dets, container, i)
+                    if card_info:
+                        cards.append(card_info)
+                except Exception as e:
+                    logger_uma.warning(
+                        "[SupportSelectFlow] Error extracting card %d: %s",
+                        i,
+                        str(e),
+                    )
+                    continue
+            
+            logger_uma.info(
+                "[SupportSelectFlow] Successfully extracted %d/%d support cards",
+                len(cards),
+                len(container_dets),
+            )
+            
+            return cards
+            
+        except Exception as e:
+            logger_uma.error(
+                "[SupportSelectFlow] Error scanning support cards: %s",
+                str(e),
+                exc_info=True,
+            )
+            return []
+    
+    def _extract_card_info(
+        self,
+        img,
+        all_dets: list,
+        container_det: dict,
+        index: int,
+    ) -> Optional[SupportCardInfo]:
+        """
+        Extract level and name from a single support card container.
+        
+        Args:
+            img: Full screen image
+            all_dets: All YOLO detections from the screen
+            container_det: The container detection dict
+            index: Index of this container (for logging)
+            
+        Returns:
+            SupportCardInfo if extraction successful, None otherwise
+        """
+        if not self.ocr:
+            logger_uma.warning(
+                "[SupportSelectFlow] OCR not available, cannot extract card info"
+            )
+            return None
+        
+        try:
+            container_xyxy = container_det["xyxy"]
+            
+            # Find level and name detections within this container
+            level_det = self._find_detection_in_container(
+                all_dets,
+                container_xyxy,
+                "career_support_level",
+            )
+            name_det = self._find_detection_in_container(
+                all_dets,
+                container_xyxy,
+                "career_support_name",
+            )
+            
+            # Extract level
+            level = -1
+            if level_det:
+                level_crop = crop_pil(img, level_det["xyxy"])
+                level = self.ocr.digits(level_crop)
+            
+            # Extract name
+            name = ""
+            if name_det:
+                name_crop = crop_pil(img, name_det["xyxy"])
+                name = self.ocr.text(name_crop, min_conf=0.2).strip()
+            
+            # Validate extracted data
+            if level <= 0 or level > 50:
+                logger_uma.debug(
+                    "[SupportSelectFlow] Card %d: Invalid level %d",
+                    index,
+                    level,
+                )
+                # Use default level if extraction failed
+                level = 1
+            
+            if not name:
+                logger_uma.debug(
+                    "[SupportSelectFlow] Card %d: Empty name",
+                    index,
+                )
+                name = "Unknown"
+            
+            logger_uma.debug(
+                "[SupportSelectFlow] Card %d: '%s' level %d",
+                index,
+                name,
+                level,
+            )
+            
+            return SupportCardInfo(
+                name=name,
+                level=level,
+                xyxy=container_xyxy,
+                container_detection=container_det,
+            )
+            
+        except Exception as e:
+            logger_uma.warning(
+                "[SupportSelectFlow] Error extracting card %d info: %s",
+                index,
+                str(e),
+            )
+            return None
+    
+    def _find_detection_in_container(
+        self,
+        all_dets: list,
+        container_xyxy: XYXY,
+        target_class: str,
+    ) -> Optional[dict]:
+        """
+        Find a detection of target_class that is inside the container bounds.
+        
+        Args:
+            all_dets: All YOLO detections
+            container_xyxy: Container bounding box (x1, y1, x2, y2)
+            target_class: Class name to search for
+            
+        Returns:
+            Detection dict if found, None otherwise
+        """
+        target_dets = det_filter(all_dets, [target_class])
+        
+        if not target_dets:
+            return None
+        
+        cx1, cy1, cx2, cy2 = container_xyxy
+        
+        # Find detection with center inside container
+        for det in target_dets:
+            x1, y1, x2, y2 = det["xyxy"]
+            center_x = (x1 + x2) / 2
+            center_y = (y1 + y2) / 2
+            
+            if cx1 <= center_x <= cx2 and cy1 <= center_y <= cy2:
+                return det
+        
+        return None
+    
+    def _find_optimal_support(
+        self,
+        cards: List[SupportCardInfo],
+    ) -> Optional[SupportCardInfo]:
+        """
+        Find support card matching preferred name and level.
+        
+        Uses fuzzy matching for support name comparison to handle OCR errors.
+        
+        Args:
+            cards: List of scanned support cards
+            
+        Returns:
+            SupportCardInfo if found, None otherwise
+        """
+        if not cards:
+            return None
+        
+        logger_uma.debug(
+            "[SupportSelectFlow] Searching for optimal support: '%s' level %d",
+            self.preferred_support,
+            self.preferred_level,
+        )
+        
+        # First pass: exact level match with fuzzy name match
+        best_match: Optional[SupportCardInfo] = None
+        best_ratio = 0.0
+        fuzzy_threshold = 0.70  # Threshold for fuzzy name matching
+        
+        for card in cards:
+            # Check level match
+            if card.level != self.preferred_level:
+                continue
+            
+            # Check name match with fuzzy matching
+            ratio = fuzzy_ratio(card.name, self.preferred_support)
+            
+            logger_uma.debug(
+                "[SupportSelectFlow] Card '%s' level %d: fuzzy ratio %.2f",
+                card.name,
+                card.level,
+                ratio,
+            )
+            
+            if ratio >= fuzzy_threshold and ratio > best_ratio:
+                best_match = card
+                best_ratio = ratio
+        
+        if best_match:
+            logger_uma.info(
+                "[SupportSelectFlow] Found optimal match: '%s' level %d (ratio: %.2f)",
+                best_match.name,
+                best_match.level,
+                best_ratio,
+            )
+            return best_match
+        
+        logger_uma.debug(
+            "[SupportSelectFlow] No optimal support found matching criteria"
+        )
+        return None
+    
+    def _refresh_support_list(self) -> bool:
+        """
+        Click career_borrow_refresh button and wait for refresh to complete.
+        
+        Returns:
+            True if refresh was successful, False otherwise
+        """
+        logger_uma.debug("[SupportSelectFlow] Refreshing support list")
+        
+        try:
+            # Click the refresh button
+            clicked = self.waiter.click_when(
+                classes=["career_borrow_refresh"],
+                timeout_s=self.timeout_scan,
+                tag="support_refresh",
+            )
+            
+            if not clicked:
+                logger_uma.warning(
+                    "[SupportSelectFlow] Failed to click career_borrow_refresh button"
+                )
+                return False
+            
+            # Wait for refresh to complete
+            logger_uma.debug(
+                "[SupportSelectFlow] Waiting %.1fs for refresh to complete",
+                self.refresh_wait_seconds,
+            )
+            time.sleep(self.refresh_wait_seconds)
+            
+            logger_uma.debug("[SupportSelectFlow] Refresh completed")
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[SupportSelectFlow] Error refreshing support list: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+    
+    def _select_support_card(self, card: SupportCardInfo) -> bool:
+        """
+        Click the specified support card container to select it.
+        
+        Args:
+            card: The support card to select
+            
+        Returns:
+            True if selection was successful, False otherwise
+        """
+        logger_uma.info(
+            "[SupportSelectFlow] Selecting support card: '%s' level %d",
+            card.name,
+            card.level,
+        )
+        
+        try:
+            # Calculate center of the container for clicking
+            x1, y1, x2, y2 = card.xyxy
+            center_x = int((x1 + x2) / 2)
+            center_y = int((y1 + y2) / 2)
+            
+            # Click the center of the container
+            self.ctrl.click(center_x, center_y)
+            
+            # Wait a moment for selection to register
+            time.sleep(0.5)
+            
+            logger_uma.info(
+                "[SupportSelectFlow] Successfully selected support card"
+            )
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[SupportSelectFlow] Error selecting support card: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
diff --git a/core/actions/unity_cup/agent.py b/core/actions/unity_cup/agent.py
index 29ca5377..dc0adbe4 100644
--- a/core/actions/unity_cup/agent.py
+++ b/core/actions/unity_cup/agent.py
@@ -698,7 +698,7 @@ def run(self, *, delay: float = 0.4, max_iterations: int | None = None) -> None:
                 # For other outcomes ("INFIRMARY", "RESTED", "CONTINUE") we just loop
                 continue
 
-            if screen == "FinalScreen":
+            if screen == "FinalScreen" or screen == "CareerComplete":
                 self.claw_turn = 0
                 # Only if skill list defined
                 if len(self.skill_list) > 0 and self.lobby._go_skills():
@@ -712,19 +712,10 @@ def run(self, *, delay: float = 0.4, max_iterations: int | None = None) -> None:
                         final_result.status.value,
                         final_result.exit_recovered,
                     )
-                    
-                    # pick = det_filter(dets, ["lobby_skills"])[-1]
-                    # x1 = pick["xyxy"][0]
-                    # y1 = pick["xyxy"][1]
-                    # x2 = pick["xyxy"][2]
-                    # y2 = pick["xyxy"][3]
-
-                    # btn_width = abs(x2 - x1)
-                    # x1 += btn_width + btn_width // 10
-                    # x2 += btn_width + btn_width // 10
-                    # self.ctrl.click_xyxy_center((x1, y1, x2, y2), clicks=1, jitter=1)
+
                 self.is_running = False  # end of career
                 logger_uma.info("Detected end of career")
+                
                 try:
                     self.skill_memory.reset(persist=True)
                     logger_uma.info("[skill_memory] Reset after career completion")
diff --git a/core/actions/ura/agent.py b/core/actions/ura/agent.py
index 0949ca3b..632a222b 100644
--- a/core/actions/ura/agent.py
+++ b/core/actions/ura/agent.py
@@ -559,7 +559,7 @@ def run(self, *, delay: float = 0.4, max_iterations: int | None = None) -> None:
                 # For other outcomes ("INFIRMARY", "RESTED", "CONTINUE") we just loop
                 continue
 
-            if screen == "FinalScreen":
+            if screen == "FinalScreen" or screen == "CareerComplete":
                 self.claw_turn = 0
                 # Only if skill list defined
                 if len(self.skill_list) > 0 and self.lobby._go_skills():
@@ -573,19 +573,10 @@ def run(self, *, delay: float = 0.4, max_iterations: int | None = None) -> None:
                         final_result.status.value,
                         final_result.exit_recovered,
                     )
-                    
-                    # pick = det_filter(dets, ["lobby_skills"])[-1]
-                    # x1 = pick["xyxy"][0]
-                    # y1 = pick["xyxy"][1]
-                    # x2 = pick["xyxy"][2]
-                    # y2 = pick["xyxy"][3]
-
-                    # btn_width = abs(x2 - x1)
-                    # x1 += btn_width + btn_width // 10
-                    # x2 += btn_width + btn_width // 10
-                    # self.ctrl.click_xyxy_center((x1, y1, x2, y2), clicks=1, jitter=1)
+
                 self.is_running = False  # end of career
                 logger_uma.info("Detected end of career")
+                
                 try:
                     self.skill_memory.reset(persist=True)
                     logger_uma.info("[skill_memory] Reset after career completion")
@@ -593,7 +584,6 @@ def run(self, *, delay: float = 0.4, max_iterations: int | None = None) -> None:
                     logger_uma.error("[skill_memory] reset failed: %s", exc)
                 continue
 
-
             if screen == "ClawMachine":
                 self.claw_turn += 1
                 logger_uma.debug(
diff --git a/core/agent_career_loop.py b/core/agent_career_loop.py
new file mode 100644
index 00000000..fbdde483
--- /dev/null
+++ b/core/agent_career_loop.py
@@ -0,0 +1,1162 @@
+"""
+Career Loop Agent for Career Automation Loop.
+
+This module orchestrates the complete career farming loop:
+- Navigate from main menu to career mode
+- Handle all setup screens
+- Select optimal support card
+- Launch the training agent (AgentScenario)
+- Loop back to start a new career upon completion
+"""
+
+from __future__ import annotations
+
+import time
+from typing import Optional
+
+from core.actions.career_loop_types import CareerLoopState, CareerStep
+from core.actions.career_nav_flow import CareerNavFlow
+from core.actions.support_select_flow import SupportSelectFlow
+from core.agent_scenario import AgentScenario
+from core.controllers.base import IController
+from core.perception.ocr.interface import OCRInterface
+from core.perception.yolo.interface import IDetector
+from core.utils.abort import abort_requested, request_abort
+from core.utils.geometry import crop_pil
+from core.utils.logger import logger_uma
+from core.utils.waiter import Waiter
+
+
+class AgentCareerLoop:
+    """
+    Top-level orchestrator that manages the complete career farming loop.
+    
+    This class coordinates the entire career automation workflow:
+    - Initializes navigation and support selection flows
+    - Executes career setup sequence
+    - Launches and monitors AgentScenario
+    - Detects career completion
+    - Loops back to start new career
+    - Handles errors and recovery
+    
+    Attributes:
+        ctrl: Controller for input and screen capture
+        ocr: OCR engine for text recognition
+        yolo_engine: YOLO detection engine for UI elements
+        waiter: Synchronization utility for UI state transitions
+        agent_scenario: The training agent to run for each career
+        career_nav: Navigation flow for menu and setup screens
+        support_select: Support card selection flow
+        state: Career loop state tracking
+        preferred_support: Name of the preferred support card
+        preferred_level: Desired support card level
+        max_careers: Maximum number of careers to run (None = infinite)
+        error_threshold: Stop after this many consecutive errors
+    """
+    
+    def __init__(
+        self,
+        ctrl: IController,
+        ocr: Optional[OCRInterface],
+        yolo_engine: IDetector,
+        waiter: Waiter,
+        agent_scenario: AgentScenario,
+        *,
+        preferred_support: str = "Riko Kashimoto",
+        preferred_level: int = 50,
+        max_refresh_attempts: int = 3,
+        refresh_wait_seconds: float = 5.0,
+        max_careers: Optional[int] = None,
+        error_threshold: int = 5,
+    ):
+        """
+        Initialize CareerLoopAgent with infrastructure components.
+        
+        Args:
+            ctrl: Controller for input and screen capture
+            ocr: OCR engine for text recognition (optional)
+            yolo_engine: YOLO detection engine
+            waiter: Waiter for UI synchronization
+            agent_scenario: The training agent to run for each career
+            preferred_support: Name of the preferred support card (default: "Riko Kashimoto")
+            preferred_level: Desired support card level (default: 50)
+            max_refresh_attempts: Maximum refresh attempts for support selection (default: 3)
+            refresh_wait_seconds: Wait time after refresh (default: 5.0s)
+            max_careers: Maximum number of careers to run, None for infinite (default: None)
+            error_threshold: Stop after this many consecutive errors (default: 5)
+        """
+        self.ctrl = ctrl
+        self.ocr = ocr
+        self.yolo_engine = yolo_engine
+        self.waiter = waiter
+        self.agent_scenario = agent_scenario
+        
+        # Configuration
+        self.preferred_support = preferred_support
+        self.preferred_level = preferred_level
+        self.max_careers = max_careers
+        self.error_threshold = error_threshold
+        
+        # Initialize flows
+        self.career_nav = CareerNavFlow(
+            ctrl=ctrl,
+            ocr=ocr,
+            yolo_engine=yolo_engine,
+            waiter=waiter,
+        )
+        
+        self.support_select = SupportSelectFlow(
+            ctrl=ctrl,
+            ocr=ocr,
+            yolo_engine=yolo_engine,
+            waiter=waiter,
+            preferred_support=preferred_support,
+            preferred_level=preferred_level,
+            max_refresh_attempts=max_refresh_attempts,
+            refresh_wait_seconds=refresh_wait_seconds,
+        )
+        
+        # Initialize state tracking
+        self.state = CareerLoopState()
+        
+        logger_uma.info(
+            "[CareerLoopAgent] Initialized: support='%s' level=%d max_careers=%s error_threshold=%d",
+            preferred_support,
+            preferred_level,
+            max_careers if max_careers is not None else "infinite",
+            error_threshold,
+        )
+
+    def _confirm_career_start(self) -> bool:
+        """
+        Confirm career start with double-click on "Start Career!" button.
+        
+        This method performs the following steps:
+        1. Click button_green with "Start Career!" text using fuzzy search
+        2. Check if "Restore" button appears (TP restoration needed)
+        3. If restore needed, handle TP restoration flow
+        4. Wait 3 seconds for UI transition
+        5. Click button_green with "Start Career!" text again (double-click confirmation)
+        6. Verify career started successfully
+        
+        Returns:
+            True if career start was confirmed successfully, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Confirming career start")
+        
+        try:
+            # First click: Look for "Start Career!" button with fuzzy matching
+            logger_uma.debug("[CareerLoopAgent] First click on Start Career button")
+            clicked_first = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["start", "career"],  # Fuzzy search patterns
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="career_start_confirm_1",
+            )
+            
+            if not clicked_first:
+                logger_uma.warning("[CareerLoopAgent] Failed to click Start Career button (first attempt)")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] First click successful, checking for TP restoration")
+            
+            # Wait a moment for potential restore dialog
+            time.sleep(1.5)
+            
+            # Check if "Restore" button appears (TP restoration needed)
+            img, _, dets = self.yolo_engine.recognize(
+                imgsz=832,
+                conf=0.51,
+                iou=0.45,
+                tag="career_start_restore_check",
+                agent="career_loop",
+            )
+            
+            from core.utils.yolo_objects import filter_by_classes as det_filter
+            restore_buttons = det_filter(dets, ["button_green"])
+            
+            # Check if any green button has "restore" text
+            restore_needed = False
+            if restore_buttons and self.ocr:
+                for det in restore_buttons:
+                    roi = crop_pil(img, det["xyxy"])
+                    text = self.ocr.text(roi, min_conf=0.2).lower().strip()
+                    if "restore" in text:
+                        restore_needed = True
+                        logger_uma.info("[CareerLoopAgent] TP restoration needed, handling restore flow")
+                        break
+            
+            # Handle TP restoration if needed
+            if restore_needed:
+                if not self._handle_tp_restoration():
+                    logger_uma.warning("[CareerLoopAgent] TP restoration failed, continuing anyway")
+                    # Continue even if restoration fails
+            
+            # Wait for UI transition
+            # Second click: Double-click confirmation
+            logger_uma.debug("[CareerLoopAgent] Second click on Start Career button")
+            clicked_second = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["start", "career"],  # Fuzzy search patterns
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="career_start_confirm_2",
+            )
+
+            time.sleep(1)
+            clicked_second = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["start", "career"],  # Fuzzy search patterns
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="career_start_confirm_2",
+            )
+            
+            if not clicked_second:
+                logger_uma.warning("[CareerLoopAgent] Failed to click Start Career button (second attempt)")
+                return False
+            
+            logger_uma.info("[CareerLoopAgent] Career start confirmed successfully")
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error confirming career start: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _handle_tp_restoration(self) -> bool:
+        """
+        Handle TP (Training Points) restoration flow.
+        
+        This method performs the following steps:
+        1. Click "Restore" button (green button with "restore" text)
+        2. Wait for popup with ui_carat and ui_tp buttons
+        3. Click "Use" button on the far right of ui_tp (prioritize TP over carat)
+        4. Click "OK" button (green button)
+        5. Wait 3-5 seconds
+        6. Click "Close" button (white button)
+        
+        Returns:
+            True if TP restoration was successful, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Handling TP restoration")
+        
+        try:
+            # Step 1: Click "Restore" button
+            logger_uma.debug("[CareerLoopAgent] Step 1: Clicking Restore button")
+            clicked_restore = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["restore"],
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="tp_restore_1",
+            )
+            
+            if not clicked_restore:
+                logger_uma.warning("[CareerLoopAgent] Failed to click Restore button")
+                return False
+            
+            # Wait for popup to appear
+            time.sleep(1.5)
+            
+            # Step 2: Detect ui_tp and click "Use" button on the far right
+            logger_uma.debug("[CareerLoopAgent] Step 2: Looking for ui_tp and Use button")
+            img, _, dets = self.yolo_engine.recognize(
+                imgsz=832,
+                conf=0.51,
+                iou=0.45,
+                tag="tp_restore_popup",
+                agent="career_loop",
+            )
+            
+            from core.utils.yolo_objects import filter_by_classes as det_filter
+            tp_dets = det_filter(dets, ["ui_tp"])
+            white_buttons = det_filter(dets, ["button_white", "white_button"])
+            use_carat = False
+            if not tp_dets:
+                logger_uma.warning("[CareerLoopAgent] ui_tp not found, trying to use carat instead")
+                # Fallback to carat if TP not available
+                carat_dets = det_filter(dets, ["ui_carat"])
+                if carat_dets:
+                    tp_dets = carat_dets
+                    use_carat = True
+                else:
+                    logger_uma.error("[CareerLoopAgent] Neither ui_tp nor ui_carat found")
+                    return False
+            
+            # Find the "Use" button that's vertically aligned with ui_tp
+            # Based on detection data:
+            # - ui_tp is at y=(273.6, 371.7), center_y ≈ 322
+            # - Use button for TP is at y=(152.0, 211.0), center_y ≈ 181
+            # - ui_carat is at y=(135.0, 231.4), center_y ≈ 183
+            # So we need to find the button that's vertically aligned (similar y-center)
+            if tp_dets and white_buttons:
+                tp_x1, tp_y1, tp_x2, tp_y2 = tp_dets[0]["xyxy"]  # Use first TP detection
+                tp_center_y = (tp_y1 + tp_y2) / 2  # Center Y of TP icon
+                
+                logger_uma.debug(
+                    "[CareerLoopAgent] TP icon at y-center=%.1f, looking for aligned Use button",
+                    tp_center_y,
+                )
+                
+                # Find white buttons to the right of TP icon and vertically aligned
+                use_button = None
+                best_match = None
+                min_y_diff = float('inf')
+                
+                for btn in white_buttons:
+                    btn_x1, btn_y1, btn_x2, btn_y2 = btn["xyxy"]
+                    btn_center_y = (btn_y1 + btn_y2) / 2
+                    y_diff = abs(btn_center_y - tp_center_y)
+                    
+                    # Button must be to the right of TP icon
+                    if btn_x1 > tp_x2:
+                        # Check vertical alignment (within 100 pixels tolerance)
+                        if y_diff < 100:
+                            if y_diff < min_y_diff:
+                                min_y_diff = y_diff
+                                best_match = btn
+                                logger_uma.debug(
+                                    "[CareerLoopAgent] Found candidate Use button at y-center=%.1f (diff=%.1f)",
+                                    btn_center_y,
+                                    y_diff,
+                                )
+                
+                if best_match:
+                    use_button = best_match
+                    logger_uma.info(
+                        "[CareerLoopAgent] Selected Use button with y-diff=%.1f (best vertical alignment)",
+                        min_y_diff,
+                    )
+                
+                if use_button:
+                    logger_uma.debug("[CareerLoopAgent] Clicking Use button for TP")
+                    x1, y1, x2, y2 = use_button["xyxy"]
+                    center_x = int((x1 + x2) / 2)
+                    center_y = int((y1 + y2) / 2)
+                    self.ctrl.click(center_x, center_y)
+                    time.sleep(1.0)
+                else:
+                    logger_uma.warning("[CareerLoopAgent] Use button not found by alignment, trying generic white button")
+                    # Fallback: click any white button with "use" text
+                    clicked_use = self.waiter.click_when(
+                        classes=["button_white", "white_button"],
+                        texts=["use"],
+                        threshold=0.68,
+                        timeout_s=3.0,
+                        tag="tp_restore_use",
+                    )
+                    if not clicked_use:
+                        logger_uma.error("[CareerLoopAgent] Failed to click Use button")
+                        return False
+            else:
+                logger_uma.error("[CareerLoopAgent] Could not find TP icon or white buttons")
+                return False
+            
+            if use_carat:
+                plus_button_clicked = self.waiter.click_when(
+                    classes=["button_plus"],
+                    threshold=0.68,
+                    timeout_s=3.0,
+                    tag="carat_restore_add"
+                )
+
+                if not plus_button_clicked:
+                    logger_uma.error("[CareerLoopAgent] Failed to click Plus Button")
+                    return False
+            
+            # Step 3: Click "OK" button (green button)
+            logger_uma.debug("[CareerLoopAgent] Step 3: Clicking OK button")
+            clicked_ok = self.waiter.click_when(
+                classes=["button_green"],
+                texts=["ok", "confirm"],
+                threshold=0.68,
+                timeout_s=5.0,
+                tag="tp_restore_ok",
+            )
+            
+            if not clicked_ok:
+                logger_uma.warning("[CareerLoopAgent] Failed to click OK button")
+                return False
+            
+            # Step 4: Wait 3-5 seconds
+            logger_uma.debug("[CareerLoopAgent] Step 4: Waiting 4 seconds")
+            time.sleep(4.0)
+            
+            # Step 5: Click "Close" button (white button)
+            logger_uma.debug("[CareerLoopAgent] Step 5: Clicking Close button")
+            clicked_close = self.waiter.click_when(
+                classes=["button_white", "white_button"],
+                texts=["close"],
+                threshold=0.38,
+                timeout_s=5.0,
+                tag="tp_restore_close",
+            )
+            
+            if not clicked_close:
+                logger_uma.warning("[CareerLoopAgent] Failed to click Close button")
+                return False
+            
+            logger_uma.info("[CareerLoopAgent] TP restoration completed successfully")
+            time.sleep(3.0)
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error handling TP restoration: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _handle_career_start_skip(self) -> bool:
+        """
+        Handle skip dialog at the beginning of a career.
+        
+        When starting a career from the career loop, the game shows a skip dialog.
+        This method performs the following steps:
+        1. Click "button_skip" to open skip options
+        2. Wait 1 second
+        3. Click "no_skip" twice to decline skipping
+        4. Continue with normal career flow
+        
+        Returns:
+            True if skip dialog was handled successfully, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Handling career start skip dialog")
+        
+        try:
+            # Step 1: Click button_skip
+            logger_uma.debug("[CareerLoopAgent] Step 1: Clicking button_skip")
+            clicked_skip = self.waiter.click_when(
+                classes=["button_skip"],
+                timeout_s=10.0,
+                tag="career_start_skip_1",
+            )
+            
+            if not clicked_skip:
+                logger_uma.debug("[CareerLoopAgent] button_skip not found, may not be needed")
+                return True  # Not an error, skip dialog may not appear
+            
+            logger_uma.debug("[CareerLoopAgent] Clicked button_skip")
+            
+            # Step 2: Wait 1 second
+            time.sleep(1.0)
+            
+            # Step 3: Click no_skip twice
+            logger_uma.debug("[CareerLoopAgent] Step 3: Clicking no_skip (first time)")
+            clicked_no_skip_1 = self.waiter.click_when(
+                classes=["no_skip"],
+                timeout_s=5.0,
+                clicks=2,
+                tag="career_start_no_skip_1",
+            )
+            time.sleep(1)
+            if not clicked_no_skip_1:
+                logger_uma.warning("[CareerLoopAgent] Failed to click no_skip (first time)")
+                clicked_no_skip_2 = self.waiter.click_when(
+                    classes=["no_skip"],
+                    timeout_s=5.0,
+                    clicks=2,
+                    tag="career_start_no_skip_2",
+                )
+            
+            logger_uma.debug("[CareerLoopAgent] Clicked no_skip (first time), waiting briefly")
+            
+            time.sleep(1)
+            if self.waiter.click_when(
+                classes=["button_green"],
+                texts=["confirm"],
+                tag="career_start_confirm"
+            ):
+                logger_uma.info("[CareerLoopAgent] Skip dialog handled successfully")
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error handling career start skip: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _handle_career_completion(self) -> bool:
+        """
+        Handle career completion flow and return to home screen.
+        
+        This method performs the following steps:
+        1. Click "career_complete" button
+        2. Click "finish" button
+        3. Wait 5 seconds for results processing
+        4. Click "To Home", "Close", "Next" until ui_home is found
+           (avoiding "Edit Team" button)
+        
+        Returns:
+            True if successfully returned to home screen, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Handling career completion flow")
+        
+        try:
+            # Step 1: Click career_complete button
+            logger_uma.debug("[CareerLoopAgent] Step 1: Clicking career_complete button")
+            if not self.waiter.seen(classes=["career_complete"], tag="career_completion_check_career_complete"):
+                return False
+
+            clicked_complete = self.waiter.click_when(
+                classes=["career_complete"],
+                timeout_s=10.0,
+                tag="career_completion_1",
+            )
+            
+            if not clicked_complete:
+                logger_uma.warning("[CareerLoopAgent] Failed to click career_complete button")
+                # Try to continue anyway
+                return False
+            else:
+                logger_uma.debug("[CareerLoopAgent] Clicked career_complete button")
+                time.sleep(1.5)
+            
+            # Step 2: Click finish button
+            logger_uma.debug("[CareerLoopAgent] Step 2: Clicking finish button")
+            clicked_finish = self.waiter.click_when(
+                classes=["button_green", "button_blue"],
+                texts=["finish", "complete", "done"],
+                threshold=0.68,
+                timeout_s=10.0,
+                tag="career_completion_finish",
+            )
+            
+            if not clicked_finish:
+                logger_uma.warning("[CareerLoopAgent] Failed to click finish button")
+                # Try to continue anyway
+            else:
+                logger_uma.debug("[CareerLoopAgent] Clicked finish button")
+            
+            # Step 3: Wait 5 seconds for results processing
+            logger_uma.debug("[CareerLoopAgent] Step 3: Waiting 5 seconds for results processing")
+            time.sleep(5.0)
+            
+            # Step 4: Click through dialogs until we reach ui_home
+            logger_uma.debug("[CareerLoopAgent] Step 4: Clicking through dialogs to reach home")
+            max_clicks = 20  # Safety limit
+            clicks_count = 0
+            
+            while clicks_count < max_clicks:
+                clicks_count += 1
+                
+                # Check if we're at home screen
+                img, _, dets = self.yolo_engine.recognize(
+                    imgsz=832,
+                    conf=0.51,
+                    iou=0.45,
+                    tag="career_completion_check",
+                    agent="career_loop",
+                )
+                
+                from core.utils.yolo_objects import filter_by_classes as det_filter
+                home_dets = det_filter(dets, ["ui_home"])
+                
+                if home_dets:
+                    logger_uma.info("[CareerLoopAgent] Successfully reached home screen")
+                    return True
+                
+                # Try to click "To Home", "Close", "Next", "OK" buttons
+                clicked = self.waiter.click_when(
+                    classes=["ui_home", "button_green", "button_white", "button_blue", "button_close"],
+                    texts=["home", "close", "next", "ok", "confirm"],
+                    threshold=0.68,
+                    timeout_s=3.0,
+                    tag=f"career_completion_nav_{clicks_count}",
+                    forbid_texts=["edit", "team"],
+                )
+                
+                if not clicked:
+                    logger_uma.debug(
+                        "[CareerLoopAgent] No navigation button found (attempt %d/%d)",
+                        clicks_count,
+                        max_clicks,
+                    )
+                    # Wait a moment and try again
+                    time.sleep(1.0)
+                else:
+                    logger_uma.debug(
+                        "[CareerLoopAgent] Clicked navigation button (attempt %d/%d)",
+                        clicks_count,
+                        max_clicks,
+                    )
+                    # Wait for screen transition
+                    time.sleep(1.5)
+            
+            logger_uma.error(
+                "[CareerLoopAgent] Failed to reach home screen after %d clicks",
+                max_clicks,
+            )
+            return False
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error handling career completion: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _execute_career_cycle(self) -> bool:
+        """
+        Execute one complete career cycle.
+        
+        This method performs the following steps:
+        1. Navigate to career from main menu
+        2. Loop through setup screens (scenario, trainee, legacy)
+        3. Detect support formation screen
+        4. Handle support card selection
+        5. Confirm career start (double-click)
+        6. Launch agent_scenario and wait for completion
+        
+        Returns:
+            True if the career cycle completed successfully, False otherwise
+        """
+        logger_uma.info(
+            "[CareerLoopAgent] Starting career cycle %d",
+            self.state.total_careers_completed + 1,
+        )
+        
+        # Record start time
+        self.state.current_career_start_time = time.time()
+        
+        try:
+            #Check if in career mode
+            if self._check_if_in_career():
+                logger_uma.info("[CareerLoopAgent] Pre-Step: Career checker - Already in career")
+                return True
+            if self._handle_career_completion():
+                logger_uma.info("[CareerLoopAgent] Career Complete")
+                return True
+            # Step 1: Navigate to career from main menu
+            logger_uma.info("[CareerLoopAgent] Step 1: Navigating to career from main menu")
+            if not self.career_nav.navigate_to_career_from_menu():
+                logger_uma.error("[CareerLoopAgent] Failed to navigate to career")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] Navigation to career successful")
+            
+            # Step 2: Loop through setup screens
+            logger_uma.info("[CareerLoopAgent] Step 2: Handling setup screens")
+            
+            # We need to handle multiple setup screens until we reach support formation
+            # The design specifies we should loop through setup screens
+            max_setup_screens = 10  # Safety limit to prevent infinite loops
+            setup_screen_count = 0
+            
+            while setup_screen_count < max_setup_screens:
+                setup_screen_count += 1
+                
+                logger_uma.debug(
+                    "[CareerLoopAgent] Handling setup screen %d/%d",
+                    setup_screen_count,
+                    max_setup_screens,
+                )
+                
+                # Check if we've reached support formation screen
+                # We'll try to detect it by checking for career_add_friend_support button
+                img, _, dets = self.yolo_engine.recognize(
+                    imgsz=832,
+                    conf=0.51,
+                    iou=0.45,
+                    tag="career_cycle_check",
+                    agent="career_loop",
+                )
+                
+                # Check for support formation screen indicator
+                from core.utils.yolo_objects import filter_by_classes as det_filter
+                support_button_dets = det_filter(dets, ["career_add_friend_support"])
+                
+                if support_button_dets:
+                    logger_uma.info("[CareerLoopAgent] Detected support formation screen")
+                    break
+                
+                # Not on support formation yet, handle current setup screen
+                if not self.career_nav.handle_setup_screen():
+                    logger_uma.warning(
+                        "[CareerLoopAgent] Failed to handle setup screen %d",
+                        setup_screen_count,
+                    )
+                    # Try to continue anyway
+                    time.sleep(1.0)
+                else:
+                    # Wait a moment for screen transition
+                    time.sleep(1.0)
+            
+            if setup_screen_count >= max_setup_screens:
+                logger_uma.error(
+                    "[CareerLoopAgent] Exceeded max setup screens (%d), may be stuck",
+                    max_setup_screens,
+                )
+                return False
+            
+            # Step 3: Handle support formation screen
+            logger_uma.info("[CareerLoopAgent] Step 3: Selecting optimal support card")
+            if not self.support_select.select_optimal_support():
+                logger_uma.error("[CareerLoopAgent] Failed to select support card")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] Support card selected successfully")
+            
+            # Step 4: Confirm career start
+            logger_uma.info("[CareerLoopAgent] Step 4: Confirming career start")
+            if not self._confirm_career_start():
+                logger_uma.error("[CareerLoopAgent] Failed to confirm career start")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] Career start confirmed")
+            
+            # Step 5: Launch agent_scenario
+            logger_uma.info("[CareerLoopAgent] Step 5: Launching training agent")
+            
+            # Wait a moment for career to fully start
+            time.sleep(3.0)
+            
+            # Step 5a: Handle skip dialog at career start
+            logger_uma.info("[CareerLoopAgent] Step 5a: Handling skip dialog")
+            if not self._handle_career_start_skip():
+                logger_uma.warning("[CareerLoopAgent] Failed to handle skip dialog, continuing anyway")
+                # Continue even if skip handling fails
+            
+            # Run the agent scenario
+            # The agent will run until the career is complete
+            logger_uma.info("[CareerLoopAgent] Running agent scenario...")
+            self.agent_scenario.run()
+            
+            logger_uma.info(
+                "[CareerLoopAgent] Agent scenario completed for career %d",
+                self.state.total_careers_completed + 1,
+            )
+            
+            # Step 6: Handle career completion and return to home
+            logger_uma.info("[CareerLoopAgent] Step 6: Handling career completion")
+            if not self._handle_career_completion():
+                logger_uma.error("[CareerLoopAgent] Failed to handle career completion")
+                return False
+            
+            logger_uma.debug("[CareerLoopAgent] Career completion handled successfully")
+            
+            # Calculate cycle time
+            if self.state.current_career_start_time:
+                cycle_time = time.time() - self.state.current_career_start_time
+                logger_uma.info(
+                    "[CareerLoopAgent] Career cycle completed in %.1f seconds (%.1f minutes)",
+                    cycle_time,
+                    cycle_time / 60.0,
+                )
+            
+            return True
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error during career cycle: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
+    def _return_to_main_menu(self) -> bool:
+        """
+        Return to main menu for error recovery.
+        
+        This method attempts to return to the main menu by clicking the
+        ui_home button. This is used for error recovery when something
+        goes wrong during the career cycle.
+        
+        Returns:
+            True if successfully returned to main menu, False otherwise
+        """
+        logger_uma.info("[CareerLoopAgent] Attempting to return to main menu for recovery")
+        
+        try:
+            # Click ui_home button to return to main menu
+            clicked = self.waiter.click_when(
+                classes=["ui_home"],
+                timeout_s=5.0,
+                tag="career_loop_recovery",
+            )
+            
+            if clicked:
+                logger_uma.info("[CareerLoopAgent] Successfully returned to main menu")
+                # Wait a moment for menu to stabilize
+                time.sleep(1.0)
+                return True
+            else:
+                logger_uma.warning("[CareerLoopAgent] Failed to click ui_home button for recovery")
+                return False
+                
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error returning to main menu: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+    
+    def _execute_career_cycle_with_recovery(self) -> bool:
+        """
+        Execute career cycle with error recovery wrapper.
+        
+        This method wraps _execute_career_cycle with retry logic and error handling:
+        - Retries up to 3 times on failure
+        - Handles different exception types appropriately
+        - Updates CareerLoopState on success/error
+        - Returns to main menu on errors
+        
+        Returns:
+            True if career cycle completed successfully, False otherwise
+        """
+        max_retries = 3
+        
+        for attempt in range(max_retries):
+            try:
+                logger_uma.debug(
+                    "[CareerLoopAgent] Career cycle attempt %d/%d",
+                    attempt + 1,
+                    max_retries,
+                )
+                
+                # Execute the career cycle
+                success = self._execute_career_cycle()
+                
+                if success:
+                    # Record success and reset error tracking
+                    self.state.record_success()
+                    logger_uma.info(
+                        "[CareerLoopAgent] Career cycle successful (total: %d)",
+                        self.state.total_careers_completed,
+                    )
+                    return True
+                else:
+                    # Cycle failed, but no exception was raised
+                    error_msg = f"Career cycle failed on attempt {attempt + 1}/{max_retries}"
+                    logger_uma.warning("[CareerLoopAgent] %s", error_msg)
+                    
+                    # Try to return to main menu for recovery
+                    if attempt < max_retries - 1:
+                        logger_uma.info("[CareerLoopAgent] Attempting recovery...")
+                        self._return_to_main_menu()
+                        time.sleep(2.0)  # Wait before retry
+                    else:
+                        # Last attempt failed
+                        self.state.record_error(error_msg)
+                        logger_uma.error(
+                            "[CareerLoopAgent] All retry attempts exhausted (%d consecutive errors)",
+                            self.state.consecutive_errors,
+                        )
+                        return False
+                        
+            except KeyboardInterrupt:
+                # User requested stop, propagate immediately
+                logger_uma.info("[CareerLoopAgent] Keyboard interrupt received")
+                raise
+                
+            except Exception as e:
+                error_msg = f"Exception during career cycle: {type(e).__name__}: {str(e)}"
+                logger_uma.error(
+                    "[CareerLoopAgent] %s (attempt %d/%d)",
+                    error_msg,
+                    attempt + 1,
+                    max_retries,
+                    exc_info=True,
+                )
+                
+                # Try to return to main menu for recovery
+                if attempt < max_retries - 1:
+                    logger_uma.info("[CareerLoopAgent] Attempting recovery...")
+                    try:
+                        self._return_to_main_menu()
+                        time.sleep(2.0)  # Wait before retry
+                    except Exception as recovery_error:
+                        logger_uma.error(
+                            "[CareerLoopAgent] Recovery failed: %s",
+                            str(recovery_error),
+                        )
+                        # Continue to next retry anyway
+                else:
+                    # Last attempt failed
+                    self.state.record_error(error_msg)
+                    logger_uma.error(
+                        "[CareerLoopAgent] All retry attempts exhausted (%d consecutive errors)",
+                        self.state.consecutive_errors,
+                    )
+                    return False
+        
+        # Should not reach here, but handle it anyway
+        self.state.record_error("Max retries exceeded")
+        return False
+
+    def _check_if_in_career(self) -> bool:
+        """
+        Check if we're already in an active career (lobby or training screen).
+        
+        This method detects if we're currently in a career by looking for
+        the career_step indicator and OCR'ing its text to confirm it says "Career".
+        
+        Returns:
+            True if we're in an active career, False otherwise
+        """
+        try:
+            logger_uma.debug("[CareerLoopAgent] Checking if already in career...")
+            
+            # Capture current screen and detect career_step
+            img, _, dets = self.yolo_engine.recognize(
+                imgsz=832,
+                conf=0.51,
+                iou=0.45,
+                tag="career_check_in_career",
+                agent="career_loop",
+            )
+            
+            from core.utils.yolo_objects import filter_by_classes as det_filter
+            career_step_dets = det_filter(dets, ["career_step"])
+            
+            if not career_step_dets:
+                logger_uma.debug("[CareerLoopAgent] No career_step detected - not in career")
+                return False
+            
+            # OCR the career_step region to check if it says "Career"
+            if not self.ocr:
+                logger_uma.warning("[CareerLoopAgent] OCR not available, cannot verify career_step text")
+                return False
+            
+            # Use the first career_step detection
+            career_step_det = career_step_dets[0]
+            region = crop_pil(img, career_step_det["xyxy"], pad=0)
+            text = self.ocr.text(region, min_conf=0.2).strip().lower()
+            
+            logger_uma.debug(
+                "[CareerLoopAgent] career_step OCR text: '%s' (conf=%.3f)",
+                text,
+                career_step_det.get("conf", 0.0),
+            )
+            
+            # Check if text contains "career"
+            if "career" in text or "training" in text:
+                logger_uma.info(f"[CareerLoopAgent] Detected career_step with {text} text - already in career!")
+                self.state.is_running = True
+                self.agent_scenario.run()
+                return True
+            else:
+                logger_uma.debug(
+                    "[CareerLoopAgent] career_step text '%s' does not contain 'career' - not in career",
+                    text,
+                )
+                return False
+                
+        except Exception as e:
+            logger_uma.warning(
+                "[CareerLoopAgent] Error checking if in career: %s",
+                str(e),
+            )
+            return False
+
+    def run(self, max_loops: Optional[int] = None) -> None:
+        """
+        Main loop: navigate → setup → launch agent → repeat.
+        
+        This method runs the career automation loop until one of the following occurs:
+        - F1 is pressed (abort signal)
+        - max_careers limit is reached
+        - error_threshold consecutive errors occur
+        
+        The loop executes career cycles with recovery, checks abort signals between
+        iterations, and maintains comprehensive statistics.
+        
+        Args:
+            max_loops: Override for max_careers (for testing purposes)
+        """
+        # Use provided max_loops or fall back to configured max_careers
+        effective_max = max_loops if max_loops is not None else self.max_careers
+        
+        logger_uma.info(
+            "[CareerLoopAgent] Starting career loop: max_careers=%s error_threshold=%d",
+            effective_max if effective_max is not None else "infinite",
+            self.error_threshold,
+        )
+        
+        # Check if we're already in an active career
+        if self._check_if_in_career():
+            logger_uma.info(
+                "[CareerLoopAgent] Already in career - spawning agent directly without navigation"
+            )
+            
+            # Set running flag
+            self.state.is_running = True
+            
+            try:
+                # Run the agent scenario directly
+                logger_uma.info("[CareerLoopAgent] Running agent scenario for existing career...")
+                self.agent_scenario.run()
+                
+                logger_uma.info("[CareerLoopAgent] Agent scenario completed")
+                
+                # Handle career completion and return to home
+                logger_uma.info("[CareerLoopAgent] Handling career completion")
+                if self._handle_career_completion():
+                    self.state.record_success()
+                    logger_uma.info(
+                        "[CareerLoopAgent] Career completed successfully (total: %d)",
+                        self.state.total_careers_completed,
+                    )
+                else:
+                    logger_uma.warning("[CareerLoopAgent] Failed to handle career completion")
+                    self.state.record_error("Failed to handle career completion")
+                    
+            except KeyboardInterrupt:
+                logger_uma.info("[CareerLoopAgent] Keyboard interrupt received")
+                raise
+                
+            except Exception as e:
+                error_msg = f"Exception during in-career agent run: {type(e).__name__}: {str(e)}"
+                logger_uma.error("[CareerLoopAgent] %s", error_msg, exc_info=True)
+                self.state.record_error(error_msg)
+            
+            # After handling the existing career, check if we should continue
+            if abort_requested():
+                logger_uma.info("[CareerLoopAgent] Abort signal detected after existing career, stopping")
+                self.state.is_running = False
+                return
+            
+            logger_uma.info("[CareerLoopAgent] Existing career handled, continuing with normal loop")
+        
+        # Set running flag (or keep it if already set from above)
+        self.state.is_running = True
+        
+        # Initialize loop counter
+        loop_iteration = 0
+        
+        try:
+            while self.state.is_running:
+                loop_iteration += 1
+                
+                # Check abort signal before starting new career
+                if abort_requested():
+                    logger_uma.info(
+                        "[CareerLoopAgent] Abort signal detected, stopping loop"
+                    )
+                    break
+                
+                # Check if we've reached max careers limit
+                if effective_max is not None and self.state.total_careers_completed >= effective_max:
+                    logger_uma.info(
+                        "[CareerLoopAgent] Reached max careers limit (%d), stopping loop",
+                        effective_max,
+                    )
+                    break
+                
+                # Check if we've exceeded error threshold
+                if self.state.consecutive_errors >= self.error_threshold:
+                    logger_uma.error(
+                        "[CareerLoopAgent] Exceeded error threshold (%d consecutive errors), stopping loop",
+                        self.state.consecutive_errors,
+                    )
+                    break
+                
+                # Log loop statistics
+                logger_uma.info(
+                    "[CareerLoopAgent] Loop iteration %d: careers_completed=%d consecutive_errors=%d",
+                    loop_iteration,
+                    self.state.total_careers_completed,
+                    self.state.consecutive_errors,
+                )
+                
+                # Execute career cycle with recovery
+                cycle_start_time = time.time()
+                success = self._execute_career_cycle_with_recovery()
+                cycle_duration = time.time() - cycle_start_time
+                
+                if success:
+                    logger_uma.info(
+                        "[CareerLoopAgent] Career cycle %d completed successfully in %.1f seconds",
+                        loop_iteration,
+                        cycle_duration,
+                    )
+                else:
+                    logger_uma.warning(
+                        "[CareerLoopAgent] Career cycle %d failed after %.1f seconds",
+                        loop_iteration,
+                        cycle_duration,
+                    )
+                
+                # Check abort signal after career cycle
+                if abort_requested():
+                    logger_uma.info(
+                        "[CareerLoopAgent] Abort signal detected after career cycle, stopping loop"
+                    )
+                    break
+                
+                # Brief pause between careers
+                if self.state.is_running:
+                    time.sleep(1.0)
+        
+        except KeyboardInterrupt:
+            logger_uma.info("[CareerLoopAgent] Keyboard interrupt received, stopping loop")
+        
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Unexpected error in main loop: %s",
+                str(e),
+                exc_info=True,
+            )
+        
+        finally:
+            # Set running flag to False
+            self.state.is_running = False
+            
+            # Log final statistics
+            logger_uma.info(
+                "[CareerLoopAgent] Career loop stopped: total_careers=%d consecutive_errors=%d last_error='%s'",
+                self.state.total_careers_completed,
+                self.state.consecutive_errors,
+                self.state.last_error or "none",
+            )
+
+    def emergency_stop(self) -> None:
+        """
+        Emergency stop for immediate loop termination.
+        
+        This method provides a cooperative emergency stop mechanism:
+        - Sets is_running flag to False to stop the main loop
+        - Signals agent_scenario to stop using request_abort()
+        - Cleans up resources
+        - Logs the emergency stop event
+        
+        This is a best-effort immediate stop that allows the current
+        operation to complete gracefully before terminating.
+        """
+        logger_uma.warning("[CareerLoopAgent] Emergency stop requested")
+        
+        try:
+            # Set running flag to False
+            self.state.is_running = False
+            
+            # Signal agent_scenario to stop
+            request_abort()
+            
+            # If agent_scenario has an emergency_stop method, call it
+            if hasattr(self.agent_scenario, 'emergency_stop'):
+                try:
+                    self.agent_scenario.emergency_stop()
+                except Exception as e:
+                    logger_uma.error(
+                        "[CareerLoopAgent] Error calling agent_scenario.emergency_stop: %s",
+                        str(e),
+                    )
+            
+            logger_uma.info("[CareerLoopAgent] Emergency stop completed")
+            
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error during emergency stop: %s",
+                str(e),
+                exc_info=True,
+            )
diff --git a/core/perception/analyzers/screen.py b/core/perception/analyzers/screen.py
index a0a522ec..888660bb 100644
--- a/core/perception/analyzers/screen.py
+++ b/core/perception/analyzers/screen.py
@@ -67,6 +67,7 @@ def classify_screen_ura(
         "pal": "lobby_pal",
         "button_change": "button_change",
         "race_badge": "race_badge",
+        "career_complete": "career_complete",
     }
 
     counts = Counter(d["name"] for d in dets)
@@ -88,6 +89,10 @@ def classify_screen_ura(
     has_pal = _any_conf(dets, names_map["pal"], lobby_conf)
     has_button_change = _any_conf(dets, names_map["button_change"], lobby_conf)
     has_race_badge = _any_conf(dets, names_map["race_badge"], lobby_conf)
+    has_career_complete = _any_conf(dets, names_map["career_complete"], 0.5)
+
+    if has_career_complete:
+        return "CareerComplete", {"has_career_complete": has_career_complete}
 
     # 1) Event
     if n_event_choices >= 2:
@@ -273,7 +278,10 @@ def _apply_relaxed(
     race_after_next = _any_conf(dets, names_map["race_after_next"], 0.5)
     has_button_claw_action = _any_conf(dets, names_map["button_claw_action"], lobby_conf)
     has_claw = _any_conf(dets, names_map["claw"], lobby_conf)
+    has_career_complete = _any_conf(dets, names_map["career_complete"], 0.5)
     
+    if has_career_complete:
+        return "CareerComplete", {"has_career_complete": has_career_complete}
     
     # 1) Event
     if n_event_choices >= 2:
diff --git a/core/perception/ocr/ocr_remote.py b/core/perception/ocr/ocr_remote.py
index 5fe4c51a..9adaf1e8 100644
--- a/core/perception/ocr/ocr_remote.py
+++ b/core/perception/ocr/ocr_remote.py
@@ -1,48 +1,38 @@
 # core/perception/ocr/ocr_remote.py
 from __future__ import annotations
 
-import base64
-import hashlib
+import time
 from typing import Any, Dict, List, Optional
 
 import cv2
 import numpy as np
 import requests
 from core.perception.ocr.interface import OCRInterface
-from core.utils.img import to_bgr  # if you prefer, you can inline conversion here
 from core.utils.logger import logger_uma
 from PIL import Image
 
 
 def _prepare_bgr3(img: Any) -> np.ndarray:
+    """
+    Convert any image format to 3-channel BGR numpy array for encoding.
+    """
     if isinstance(img, Image.Image):
         bgr = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
     elif isinstance(img, np.ndarray):
         bgr = img
     else:
         from core.utils.img import to_bgr
-
         bgr = to_bgr(img)
+    
+    # Normalize to 3-channel BGR
     if bgr.ndim == 2:
         bgr = cv2.cvtColor(bgr, cv2.COLOR_GRAY2BGR)
     elif bgr.shape[2] == 4:
         bgr = cv2.cvtColor(bgr, cv2.COLOR_BGRA2BGR)
+    
     return bgr
 
 
-def _encode_image_to_base64(img: Any, *, fmt: str = ".png") -> str:
-    bgr = _prepare_bgr3(img)
-    ok, buf = cv2.imencode(fmt, bgr)
-    if not ok:
-        raise ValueError("Failed to encode image")
-    return base64.b64encode(buf.tobytes()).decode("ascii")
-
-
-def _local_checksum(img: Any) -> str:
-    bgr = _prepare_bgr3(img)
-    return hashlib.sha256(bgr.tobytes()).hexdigest()[:12]
-
-
 class RemoteOCREngine(OCRInterface):
     """
     HTTP client that calls a backend OCR service (FastAPI) at <base_url>/ocr.
@@ -60,9 +50,20 @@ def __init__(
         self.timeout = timeout
         self.session = session or requests.Session()
 
-    def _post(self, payload: Dict[str, Any]) -> Dict[str, Any]:
+    def _post(self, data: Dict[str, Any] = None, files: Dict = None) -> Dict[str, Any]:
+        """
+        Send OCR request using multipart/form-data (optimized) or JSON (legacy fallback).
+        """
         url = f"{self.base_url}/ocr"
-        r = self.session.post(url, json=payload, timeout=self.timeout)
+        # start_time = time.perf_counter()
+        
+        if files:
+            # Multipart upload (optimized)
+            r = self.session.post(url, data=data, files=files, timeout=self.timeout)
+        else:
+            # Legacy JSON behavior (should not be used anymore)
+            r = self.session.post(url, json=data, timeout=self.timeout)
+        
         try:
             r.raise_for_status()
         except Exception:
@@ -70,46 +71,85 @@ def _post(self, payload: Dict[str, Any]) -> Dict[str, Any]:
                 "RemoteOCR request failed: %s %s", r.status_code, r.text[:2000]
             )
             raise
-        data = r.json()
-        if "data" not in data:
-            raise ValueError(f"Unexpected response shape: {data}")
-        return data
+        # finally:
+            # elapsed = time.perf_counter() - start_time
+            # logger_uma.debug("RemoteOCR request took %.3fs", elapsed)
+        
+        response_data = r.json()
+        if "data" not in response_data:
+            raise ValueError(f"Unexpected response shape: {response_data}")
+        return response_data
 
     # ---- Methods ----
     def raw(self, img: Any) -> Dict[str, Any]:
-        img64 = _encode_image_to_base64(img)
-        return self._post({"mode": "raw", "img": img64})["data"]
+        bgr = _prepare_bgr3(img)
+        success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
+        if not success:
+            raise ValueError("Failed to encode image")
+        img_bytes = encoded_img.tobytes()
+        
+        metadata = {"mode": "raw"}
+        result = self._post(data=metadata, files={"file": ("image.jpg", img_bytes, "image/jpeg")})
+        return result["data"]
 
     def text(self, img: Any, joiner: str = " ", min_conf: float = 0.2) -> str:
-        img64 = _encode_image_to_base64(img)
-        return self._post(
-            {
-                "mode": "text",
-                "img": img64,
-                "joiner": joiner,
-                "min_conf": float(min_conf),
-            }
-        )["data"]
+        bgr = _prepare_bgr3(img)
+        success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
+        if not success:
+            raise ValueError("Failed to encode image")
+        img_bytes = encoded_img.tobytes()
+        
+        metadata = {
+            "mode": "text",
+            "joiner": joiner,
+            "min_conf": str(min_conf),
+        }
+        result = self._post(data=metadata, files={"file": ("image.jpg", img_bytes, "image/jpeg")})
+        return result["data"]
 
     def digits(self, img: Any) -> int:
-        img64 = _encode_image_to_base64(img)
-        return int(self._post({"mode": "digits", "img": img64})["data"])
+        bgr = _prepare_bgr3(img)
+        success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
+        if not success:
+            raise ValueError("Failed to encode image")
+        img_bytes = encoded_img.tobytes()
+        
+        metadata = {"mode": "digits"}
+        result = self._post(data=metadata, files={"file": ("image.jpg", img_bytes, "image/jpeg")})
+        return int(result["data"])
 
     def batch_text(
         self, imgs: List[Any], *, joiner: str = " ", min_conf: float = 0.2
     ) -> List[str]:
-        imgs64 = [_encode_image_to_base64(im) for im in imgs]
-        return list(
-            self._post(
-                {
-                    "mode": "batch_text",
-                    "imgs": imgs64,
-                    "joiner": joiner,
-                    "min_conf": float(min_conf),
-                }
-            )["data"]
-        )
+        # For batch operations, encode multiple images
+        files_list = []
+        for idx, im in enumerate(imgs):
+            bgr = _prepare_bgr3(im)
+            success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
+            if not success:
+                raise ValueError(f"Failed to encode image {idx}")
+            img_bytes = encoded_img.tobytes()
+            files_list.append(("files", (f"image_{idx}.jpg", img_bytes, "image/jpeg")))
+        
+        metadata = {
+            "mode": "batch_text",
+            "joiner": joiner,
+            "min_conf": str(min_conf),
+        }
+        result = self._post(data=metadata, files=files_list)
+        return list(result["data"])
 
     def batch_digits(self, imgs: List[Any]) -> List[str]:
-        imgs64 = [_encode_image_to_base64(im) for im in imgs]
-        return list(self._post({"mode": "batch_digits", "imgs": imgs64})["data"])
+        # For batch operations, encode multiple images
+        files_list = []
+        for idx, im in enumerate(imgs):
+            bgr = _prepare_bgr3(im)
+            success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
+            if not success:
+                raise ValueError(f"Failed to encode image {idx}")
+            img_bytes = encoded_img.tobytes()
+            files_list.append(("files", (f"image_{idx}.jpg", img_bytes, "image/jpeg")))
+        
+        metadata = {"mode": "batch_digits"}
+        result = self._post(data=metadata, files=files_list)
+        return list(result["data"])
diff --git a/core/perception/yolo/yolo_remote.py b/core/perception/yolo/yolo_remote.py
index 859f3011..9327cfce 100644
--- a/core/perception/yolo/yolo_remote.py
+++ b/core/perception/yolo/yolo_remote.py
@@ -15,6 +15,134 @@
 from core.types import DetectionDict
 from core.utils.img import pil_to_bgr, to_bgr
 from core.utils.logger import logger_uma
+import time
+
+# Global counter for button collection (button_type_state -> count)
+# Key format: "button_white_on", "button_white_off", etc.
+_button_collection_counts: Dict[str, int] = {}
+
+# Button classes to collect
+_button_classes = ["button_white", "button_green", "button_golden", "button_pink"]
+
+
+def _get_button_count(button_type: str, state: str) -> int:
+    """Get current button collection count for a button type and state."""
+    global _button_collection_counts
+    key = f"{button_type}_{state}"
+    return _button_collection_counts.get(key, 0)
+
+
+def _increment_button_count(button_type: str, state: str) -> int:
+    """Increment and return button collection count for a button type and state."""
+    global _button_collection_counts
+    key = f"{button_type}_{state}"
+    _button_collection_counts[key] = _button_collection_counts.get(key, 0) + 1
+    return _button_collection_counts[key]
+
+
+def _collect_button_data(
+    pil_img: Image.Image,
+    dets: List[DetectionDict],
+    classifier: Optional["ActiveButtonClassifier"] = None,
+) -> None:
+    """
+    Automatically collect button training data based on button classifier prediction.
+    
+    For each button detection:
+    - Crop button region
+    - Run through button classifier
+    - If classifier_conf >= threshold: save to datasets/button_states/{button_type}/on/
+    - If classifier_conf < threshold: save to datasets/button_states/{button_type}/off/
+    
+    Filters out buttons with width < 125 pixels to avoid collecting small/partial detections.
+    Limits collection based on Settings.BUTTON_COLLECTION_LIMIT per button type.
+    Can be disabled by setting Settings.COLLECT_BUTTON_DATA = False.
+    """
+    import os
+    import time
+    from core.utils.geometry import crop_pil
+    
+    # Check if button collection is enabled
+    if not Settings.COLLECT_BUTTON_DATA:
+        return
+    
+    if not dets:
+        return
+    
+    # Load classifier if not provided
+    if classifier is None:
+        try:
+            from core.perception.is_button_active import ActiveButtonClassifier
+            classifier = ActiveButtonClassifier.load("models/active_button_clf.joblib")
+        except Exception as e:
+            logger_uma.debug(f"[BUTTON COLLECT] Classifier not available, skipping collection: {e}")
+            return
+    
+    try:
+        base_dir = "datasets/button_states"
+        ts = time.strftime("%Y%m%d-%H%M%S") + f"_{int((time.time() % 1) * 1000):03d}"
+        
+        for det in dets:
+            button_name = det.get("name", "")
+            
+            # Only collect specified button classes
+            if button_name not in _button_classes:
+                continue
+            
+            yolo_conf = float(det.get("conf", 0.0))
+            xyxy = det.get("xyxy")
+            
+            if not xyxy:
+                continue
+            
+            # Calculate button width and skip if too small
+            x1, y1, x2, y2 = xyxy
+            button_width = x2 - x1
+            if button_width < 125:
+                continue
+            
+            # Crop button region from image
+            button_img = crop_pil(pil_img, (int(x1), int(y1), int(x2), int(y2)))
+            
+            # Run through classifier to get actual button state confidence
+            try:
+                start_time = time.perf_counter()
+                classifier_conf = classifier.predict_proba(button_img)
+                end_time = time.perf_counter()
+                print(f"classifier took : {end_time - start_time}")
+            except Exception as e:
+                logger_uma.debug(f"[BUTTON COLLECT] Classifier prediction failed: {e}")
+                continue
+            
+            # Determine on/off based on classifier confidence threshold
+            state = "on" if classifier_conf >= Settings.BUTTON_COLLECTION_THRESHOLD else "off"
+            
+            # Check if we've collected enough for this button type and state
+            current_count = _get_button_count(button_name, state)
+            if current_count >= Settings.BUTTON_COLLECTION_LIMIT:
+                continue
+            
+            # Create output directory
+            out_dir = os.path.join(base_dir, button_name, state)
+            os.makedirs(out_dir, exist_ok=True)
+            
+            # Save with timestamp and classifier confidence
+            filename = f"{button_name}_{state}_{ts}_{classifier_conf:.2f}.png"
+            filepath = os.path.join(out_dir, filename)
+            
+            # Save image
+            button_img.save(filepath)
+            
+            # Increment counter
+            new_count = _increment_button_count(button_name, state)
+            
+            logger_uma.debug(
+                f"[BUTTON COLLECT] {button_name} {state.upper()} ({new_count}/{Settings.BUTTON_COLLECTION_LIMIT}) "
+                f"clf_conf={classifier_conf:.2f} yolo_conf={yolo_conf:.2f} w={button_width:.0f}px -> {filename}"
+            )
+            
+    except Exception as e:
+        logger_uma.debug(f"failed collecting button data: {e}")
 
 
 def _encode_image_to_base64(img: Any, *, fmt: str = ".png") -> str:
@@ -65,10 +193,19 @@ def __init__(
         # Ensure JSON-serializable type (avoid WindowsPath issues)
         self.weights = str(weights) if weights is not None else None
 
-    def _post(self, payload: Dict[str, any]) -> Dict[str, any]:
-        r = self.session.post(
-            f"{self.base_url}/yolo", json=payload, timeout=self.timeout
-        )
+    def _post(self, data: Dict[str, Any] = None, files: Dict = None, json_payload: Dict = None) -> Dict[str, Any]:
+        """
+        Refactored to support both JSON (legacy) and Multipart (optimized)
+        """
+        url = f"{self.base_url}/yolo"
+        
+        if files:
+            # Multipart upload
+            r = self.session.post(url, data=data, files=files, timeout=self.timeout)
+        else:
+            # Legacy JSON behavior
+            r = self.session.post(url, json=json_payload, timeout=self.timeout)
+
         r.raise_for_status()
         return r.json()
 
@@ -87,18 +224,30 @@ def detect_bgr(
         conf = conf if conf is not None else Settings.YOLO_CONF
         iou = iou if iou is not None else Settings.YOLO_IOU
 
-        img64 = _encode_image_to_base64(bgr)
-        data = self._post(
-            {
-                "img": img64,
-                "imgsz": imgsz,
-                "conf": conf,
-                "iou": iou,
-                "weights_path": self.weights,
-                "tag": tag,
-                "agent": agent,
-            }
-        )
+        success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
+        img_bytes = encoded_img.tobytes()
+
+        # 4. Prepare Metadata (Must be strings for multipart/form-data)
+        metadata = {
+            "imgsz": str(imgsz),
+            "conf": str(conf),
+            "iou": str(iou),
+            "weights_path": self.weights,
+            "tag": tag,
+            "agent": agent or "",
+        }
+
+        # start_time = time.perf_counter()
+        
+        # 5. Send as Multipart
+        data = self._post(data=metadata, files={"file": ("image.jpg", img_bytes, "image/jpeg")})
+        
+        # end_time = time.perf_counter()
+        
+        # logger_uma.debug(
+        #     "remote yolo (optimized): (%.3f s)",
+        #     end_time - start_time,
+        # )
         meta = data.get(
             "meta", {"backend": "remote", "imgsz": imgsz, "conf": conf, "iou": iou}
         )
@@ -120,7 +269,7 @@ def detect_pil(
         agent: Optional[str] = None,
     ) -> Tuple[Dict[str, Any], List[DetectionDict]]:
         bgr = pil_to_bgr(pil_img)
-        return self.detect_bgr(
+        meta, dets = self.detect_bgr(
             bgr,
             imgsz=imgsz,
             conf=conf,
@@ -128,6 +277,11 @@ def detect_pil(
             tag=tag,
             agent=agent,
         )
+        
+        # Collect button training data on client side
+        # _collect_button_data(pil_img, dets)
+        
+        return meta, dets
 
     @staticmethod
     def _maybe_store_debug(
diff --git a/core/settings.py b/core/settings.py
index 559892c9..913c0372 100644
--- a/core/settings.py
+++ b/core/settings.py
@@ -77,6 +77,16 @@ class Settings:
     # Race if no good training options are available (default: False = skip race if no good training)
     RACE_IF_NO_GOOD_VALUE: bool = _env_bool("RACE_IF_NO_GOOD_VALUE", default=False)
 
+    # --------- Career Loop Configuration ---------
+    # Career automation loop settings for unattended career farming
+    CAREER_LOOP_ENABLED: bool = _env_bool("CAREER_LOOP_ENABLED", default=True)
+    CAREER_LOOP_MAX_CAREERS: Optional[int] = _env_int("CAREER_LOOP_MAX_CAREERS", default=5) or None  # None = infinite
+    CAREER_LOOP_PREFERRED_SUPPORT: str = _env("CAREER_LOOP_PREFERRED_SUPPORT", default="Riko Kashimoto") or "Riko Kashimoto"
+    CAREER_LOOP_PREFERRED_LEVEL: int = _env_int("CAREER_LOOP_PREFERRED_LEVEL", default=50)
+    CAREER_LOOP_MAX_REFRESH: int = _env_int("CAREER_LOOP_MAX_REFRESH", default=5)
+    CAREER_LOOP_REFRESH_WAIT: float = _env_float("CAREER_LOOP_REFRESH_WAIT", default=5.0)
+    CAREER_LOOP_ERROR_THRESHOLD: int = _env_int("CAREER_LOOP_ERROR_THRESHOLD", default=5)
+
     # --------- Project roots & paths ---------
     CORE_DIR: Path = Path(__file__).resolve().parent
     ROOT_DIR: Path = CORE_DIR.parent
@@ -101,6 +111,11 @@ class Settings:
     YOLO_WEIGHTS_NAV: Path = Path(
         _env("YOLO_WEIGHTS_NAV") or (MODELS_DIR / "uma_nav.pt")
     )
+
+    YOLO_WEIGHTS_CAREER_LOOP: Path = Path(
+        _env("YOLO_WEIGHTS_CAREER_LOOP") or (MODELS_DIR / "uma_career_loop.pt")
+    )
+
     IS_BUTTON_ACTIVE_CLF_PATH: Path = Path(
         _env("IS_BUTTON_ACTIVE_CLF_PATH") or (MODELS_DIR / "active_button_clf.joblib")
     )
@@ -144,7 +159,7 @@ class Settings:
 
     # --------- Detection (YOLO) ---------
     YOLO_IMGSZ: int = _env_int("YOLO_IMGSZ", default=832)
-    YOLO_CONF: float = _env_float("YOLO_CONF", default=0.60)  # should be 0.7 in general, but we are a little conservative here...
+    YOLO_CONF: float = _env_float("YOLO_CONF", default=0.50)  # should be 0.7 in general, but we are a little conservative here...
     YOLO_IOU: float = _env_float("YOLO_IOU", default=0.45)
     UNITY_CUP_GOLDEN_CONF: float = _env_float("UNITY_CUP_GOLDEN_CONF", default=0.61)
     UNITY_CUP_GOLDEN_RELAXED_CONF: float = _env_float(
diff --git a/core/types.py b/core/types.py
index 7d11cbe2..2be076e5 100644
--- a/core/types.py
+++ b/core/types.py
@@ -30,6 +30,7 @@ class DetectionDict(TypedDict):
 
 
 ScreenName = Literal[
+    "CareerComplete",
     "Raceday",
     "RaceLobby",
     "Inspiration",
diff --git a/main.py b/main.py
index 8c032f82..50ed3620 100644
--- a/main.py
+++ b/main.py
@@ -25,6 +25,7 @@
 from core.utils.logger import logger_uma, setup_uma_logging
 from core.settings import Settings
 from core.agent_nav import AgentNav
+from core.agent_career_loop import AgentCareerLoop
 from core.utils.hotkey_manager import get_hotkey_manager
 
 from server.main import app
@@ -96,8 +97,8 @@ def make_controller_from_settings() -> IController:
 
 
 def make_ocr_yolo_from_settings(
-    ctrl: IController, weights: str | Path | None = None
-) -> tuple[OCRInterface, IDetector]:
+    ctrl: IController, weights: str | Path | None = None, career_loop_weights: str | Path | None = None
+) -> tuple[OCRInterface, IDetector, IDetector]:
     """Build fresh OCR and YOLO engines based on current Settings."""
     resolved_weights = weights if weights is not None else Settings.ACTIVE_YOLO_WEIGHTS
     weights_str = str(resolved_weights) if resolved_weights is not None else None
@@ -125,7 +126,15 @@ def make_ocr_yolo_from_settings(
             yolo_engine = RemoteYOLOEngine(
                 ctrl=ctrl, base_url=Settings.EXTERNAL_PROCESSOR_URL
             )
-        return ocr, yolo_engine
+        if career_loop_weights:
+            career_loop_engine = RemoteYOLOEngine(
+                ctrl=ctrl, base_url=Settings.EXTERNAL_PROCESSOR_URL, weights=career_loop_weights
+            )
+        else:
+            career_loop_engine = RemoteYOLOEngine(
+                ctrl=ctrl, base_url=Settings.EXTERNAL_PROCESSOR_URL, weights=Settings.YOLO_WEIGHTS_CAREER_LOOP
+            )
+        return ocr, yolo_engine, career_loop_engine
 
     logger_uma.info("[PERCEPTION] Using internal processors")
     from core.perception.ocr.ocr_local import LocalOCREngine
@@ -140,7 +149,12 @@ def make_ocr_yolo_from_settings(
     else:
         yolo_engine = LocalYOLOEngine(ctrl=ctrl)
 
-    return ocr, yolo_engine
+    if career_loop_weights:
+        career_loop_engine = LocalYOLOEngine(ctrl=ctrl, weights=career_loop_weights)
+    else:
+        career_loop_engine = LocalYOLOEngine(ctrl=ctrl, weights=Settings.YOLO_WEIGHTS_CAREER_LOOP)
+
+    return ocr, yolo_engine, career_loop_engine
 
 
 # ---------------------------
@@ -237,7 +251,7 @@ def __init__(self):
         self.running: bool = False
         self._lock = threading.Lock()
 
-    def start(self):
+    def start(self, career_loop_mode: False):
         """
         Reload config.json -> Settings.apply_config -> build fresh controller + OCR/YOLO -> run Player.
         This guarantees we always reflect the latest UI changes at start time.
@@ -285,7 +299,7 @@ def start(self):
                     )
                 return
 
-            ocr, yolo_engine = make_ocr_yolo_from_settings(ctrl)
+            ocr, yolo_engine, career_loop_engine = make_ocr_yolo_from_settings(ctrl)
 
             # 4) Extract preset-specific runtime opts (skill_list / plan_races / select_style)
             preset_opts = Settings.extract_runtime_preset(cfg or {})
@@ -334,9 +348,53 @@ def start(self):
             def _runner():
                 re_init = False
                 try:
-                    logger_uma.info("[BOT] Started.")
+                    if career_loop_mode:
+                        logger_uma.info("[BOT] Started in Career Loop Mode.")
+                    else:
+                        logger_uma.info("[BOT] Started.")
+                    
+
+                    if career_loop_mode:
+                        logger_uma.info("[BOT] Career Loop Mode: Creating AgentCareerLoop wrapper...")
+                        # Create Waiter instance for career loop flows
+                        from core.utils.waiter import Waiter, PollConfig
+                        waiter_config = PollConfig(
+                            imgsz=Settings.YOLO_IMGSZ,
+                            conf=Settings.YOLO_CONF,
+                            iou=Settings.YOLO_IOU,
+                            poll_interval_s=0.5,
+                            timeout_s=4.0,
+                            tag="career_loop",
+                            agent="career_loop",
+                        )
+                        waiter = Waiter(ctrl=ctrl, ocr=ocr, yolo_engine=career_loop_engine, config=waiter_config)
+                        
+                        # Create AgentCareerLoop with all required dependencies
+                        career_loop = AgentCareerLoop(
+                            ctrl=ctrl,
+                            ocr=ocr,
+                            yolo_engine=career_loop_engine,
+                            waiter=waiter,
+                            agent_scenario=self.agent_scenario,
+                            preferred_support=Settings.CAREER_LOOP_PREFERRED_SUPPORT,
+                            preferred_level=Settings.CAREER_LOOP_PREFERRED_LEVEL,
+                            max_refresh_attempts=Settings.CAREER_LOOP_MAX_REFRESH,
+                            refresh_wait_seconds=Settings.CAREER_LOOP_REFRESH_WAIT,
+                            max_careers=Settings.CAREER_LOOP_MAX_CAREERS,
+                            error_threshold=Settings.CAREER_LOOP_ERROR_THRESHOLD,
+                        )
+                        
+                        logger_uma.info(
+                            "[BOT] Career Loop Mode: Starting loop (max_careers=%s, support=%s Lv%d)...",
+                            Settings.CAREER_LOOP_MAX_CAREERS or "infinite",
+                            Settings.CAREER_LOOP_PREFERRED_SUPPORT,
+                            Settings.CAREER_LOOP_PREFERRED_LEVEL,
+                        )
+
+                        # Run the career loop
+                        career_loop.run()
                     # if not none
-                    if self.agent_scenario:
+                    elif self.agent_scenario:
                         self.agent_scenario.run(
                             delay=getattr(Settings, "MAIN_LOOP_DELAY", 0.4),
                             max_iterations=getattr(Settings, "MAX_ITERATIONS", None),
@@ -512,8 +570,9 @@ def stop(self):
 # ---------------------------
 def hotkey_loop(bot_state: BotState, nav_state: NavState):
     # Support configured hotkey and F2 as backup for Player; F7/F8 for AgentNav
-    configured = str(getattr(Settings, "HOTKEY", "F2") or "F2").upper()
-    keys_bot = [configured]
+    configured = str(getattr(Settings, "HOTKEY", "F2")).upper()
+    keys_bot = sorted(set([configured, "F2"]))
+    keys_career_loop = ["F1"]
     keys_nav = ["F7", "F8", "F9"]
     logger_uma.info(f"[HOTKEY] Run bot in Scenario (e.g. URA, Unity Cup): press {', '.join(keys_bot)} to start/stop.")
     logger_uma.info("[HOTKEY] AgentNav: press F7=TeamTrials, F8=DailyRaces")
@@ -526,6 +585,7 @@ def hotkey_loop(bot_state: BotState, nav_state: NavState):
     # Debounce across both hook & poll paths - INCREASED to prevent race condition
     # between hook (trigger_on_release) and polling (while key pressed)
     last_ts_toggle = 0.0
+    last_ts_career_loop = 0.0
     last_ts_team = 0.0
     last_ts_daily = 0.0
     last_ts_roulette = 0.0
@@ -691,6 +751,38 @@ def _debounced_toggle(source: str):
         if was_running:
             _show_scenario_stopped_overlay_if_needed()
 
+    def _debounced_career_loop(source: str):
+        nonlocal last_ts_career_loop
+        now = time.time()
+        if now - last_ts_career_loop < 0.8:
+            logger_uma.debug(f"[HOTKEY] Debounced career-loop from {source}.")
+            return
+        last_ts_career_loop = now
+
+        # Check if career loop is enabled in settings
+        if not bot_state.running and not Settings.CAREER_LOOP_ENABLED:
+            logger_uma.warning(
+                "[HOTKEY] Career Loop Mode is disabled in settings. "
+                "Enable it in the Web UI (config.json: careerLoop.enabled = true) to use F1."
+            )
+            return
+
+        if not bot_state.running:
+            # Starting career loop mode
+            if not _select_scenario_before_start():
+                return
+            
+            logger_uma.info("[HOTKEY] Career Loop Mode: Starting...")
+            _show_preset_overlay_if_needed()
+            
+            # Start in career loop mode (start() will set running flag internally)
+            bot_state.start(career_loop_mode=True)
+        else:
+            # Stopping career loop mode
+            logger_uma.info("[HOTKEY] Career Loop Mode: Stopping...")
+            bot_state.stop()
+        
+
     def _debounced_team(source: str):
         nonlocal last_ts_team
         now = time.time()
@@ -756,9 +848,32 @@ def _debounced_roulette(source: str):
         else:
             nav_state.start(action="roulette")
 
+
     # Try to register hooks
     hotkey_mgr = get_hotkey_manager()
     
+    # F1 for Career Loop Mode
+    for k in keys_career_loop:
+        try:
+            logger_uma.debug(f"[HOTKEY] Registering hook for {k}…")
+            success = hotkey_mgr.add_hotkey(
+                k,
+                lambda key=k: event_q.put(("career_loop", f"hook:{key}")),
+                suppress=False,
+                trigger_on_release=True,
+            )
+            if success:
+                hooked_keys.add(k)
+                logger_uma.info(f"[HOTKEY] Hook active for '{k}' (Career Loop Mode).")
+        except PermissionError as e:
+            logger_uma.warning(
+                f"[HOTKEY] PermissionError registering '{k}'. On Windows you may need to run as Administrator. {e}"
+            )
+        except Exception as e:
+            logger_uma.warning(f"[HOTKEY] Could not register '{k}': {e}")
+
+    # Try to register hooks
+    
     for k in keys_bot:
         try:
             logger_uma.debug(f"[HOTKEY] Registering hook for {k}…")
@@ -810,7 +925,10 @@ def _debounced_roulette(source: str):
             try:
                 while True:
                     ev, source = event_q.get_nowait()
-                    if ev == "toggle":
+                    logger_uma.debug(f"[HOTKEY] Poll detected '{ev}' from {source}.")
+                    if ev == "career_loop":
+                        _debounced_career_loop(source)
+                    elif ev == "toggle":
                         _debounced_toggle(source)
                     elif ev == "team":
                         _debounced_team(source)
@@ -822,6 +940,16 @@ def _debounced_roulette(source: str):
                 pass
 
             fired = False
+            # F1 for Career Loop Mode
+            for k in keys_career_loop:
+                try:
+                    if hotkey_mgr.is_pressed(k):
+                        logger_uma.debug(f"[HOTKEY] Poll detected '{k}'.")
+                        _debounced_career_loop(f"poll:{k}")
+                        fired = True
+                        time.sleep(0.20)
+                except Exception as e:
+                    logger_uma.debug(f"[HOTKEY] Poll error on '{k}': {e}")
             for k in keys_bot:
                 try:
                     if hotkey_mgr.is_pressed(k):
diff --git a/models/uma_career_loop.pt b/models/uma_career_loop.pt
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HcmV?d00001

diff --git a/requirements.txt b/requirements.txt
index 71bc3a6b..88229d8c 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,4 @@
+adbutils==2.12.0
 aistudio-sdk==0.3.6
 annotated-doc==0.0.3
 annotated-types==0.7.0

From 77f1127efce542b565623b6bc7e9061fe393fee9 Mon Sep 17 00:00:00 2001
From: dhrpf <85220501+dhrpf@users.noreply.github.com>
Date: Fri, 20 Feb 2026 00:44:51 +0700
Subject: [PATCH 2/5] feat: add web ui configuration

---
 core/actions/career_loop_agent.py             | 181 ++++++++++-
 core/settings.py                              |  43 +++
 models/uma_career_loop.pt                     | Bin 6279978 -> 6264746 bytes
 web/dist/assets/index-BIcCosn4.js             | 280 ++++++++++++++++++
 web/dist/assets/index-uUFNqaOe.js             | 280 ------------------
 .../events/support/Mihono Bourbon_WIT_SSR.png | Bin 0 -> 104006 bytes
 web/dist/index.html                           |   2 +-
 .../components/general/AdvancedSettings.tsx   | 269 +++++++++++++++++
 web/src/models/types.ts                       |  10 +
 9 files changed, 779 insertions(+), 286 deletions(-)
 create mode 100644 web/dist/assets/index-BIcCosn4.js
 delete mode 100644 web/dist/assets/index-uUFNqaOe.js
 create mode 100644 web/dist/events/support/Mihono Bourbon_WIT_SSR.png

diff --git a/core/actions/career_loop_agent.py b/core/actions/career_loop_agent.py
index 1b41cb19..f3006ccc 100644
--- a/core/actions/career_loop_agent.py
+++ b/core/actions/career_loop_agent.py
@@ -28,7 +28,7 @@
 
 
 class CareerLoopAgent:
-    """
+        """
     Top-level orchestrator that manages the complete career farming loop.
     
     This class coordinates the entire career automation workflow:
@@ -276,13 +276,14 @@ def _handle_tp_restoration(self) -> bool:
             from core.utils.yolo_objects import filter_by_classes as det_filter
             tp_dets = det_filter(dets, ["ui_tp"])
             white_buttons = det_filter(dets, ["button_white", "white_button"])
-            
+            use_carat = False
             if not tp_dets:
                 logger_uma.warning("[CareerLoopAgent] ui_tp not found, trying to use carat instead")
                 # Fallback to carat if TP not available
                 carat_dets = det_filter(dets, ["ui_carat"])
                 if carat_dets:
                     tp_dets = carat_dets
+                    use_carat = True
                 else:
                     logger_uma.error("[CareerLoopAgent] Neither ui_tp nor ui_carat found")
                     return False
@@ -356,6 +357,18 @@ def _handle_tp_restoration(self) -> bool:
                 logger_uma.error("[CareerLoopAgent] Could not find TP icon or white buttons")
                 return False
             
+            if use_carat:
+                plus_button_clicked = self.waiter.click_when(
+                    classes=["button_plus"],
+                    threshold=0.68,
+                    timeout_s=3.0,
+                    tag="carat_restore_add"
+                )
+
+                if not plus_button_clicked:
+                    logger_uma.error("[CareerLoopAgent] Failed to click Plus Button")
+                    return False
+            
             # Step 3: Click "OK" button (green button)
             logger_uma.debug("[CareerLoopAgent] Step 3: Clicking OK button")
             clicked_ok = self.waiter.click_when(
@@ -471,6 +484,48 @@ def _handle_career_start_skip(self) -> bool:
             )
             return False
 
+    def _reset_agent_state(self) -> None:
+        """
+        Reset agent state for a new career.
+        
+        This clears date memory and other state that should not persist
+        between careers, ensuring each career starts fresh.
+        """
+        try:
+            logger_uma.debug("[CareerLoopAgent] Resetting agent state")
+            
+            # Reset date tracking in lobby
+            if hasattr(self.agent_scenario, 'lobby'):
+                lobby = self.agent_scenario.lobby
+                
+                # Clear raced keys memory
+                if hasattr(lobby, '_raced_keys_recent'):
+                    lobby._raced_keys_recent.clear()
+                    logger_uma.debug("[CareerLoopAgent] Cleared raced keys memory")
+                
+                # Reset date state
+                if hasattr(lobby, 'state') and hasattr(lobby.state, 'date_info'):
+                    lobby.state.date_info = None
+                    logger_uma.debug("[CareerLoopAgent] Reset date info")
+                
+                # Reset last date key
+                if hasattr(lobby, '_last_date_key'):
+                    lobby._last_date_key = None
+                    logger_uma.debug("[CareerLoopAgent] Reset last date key")
+                
+                # Reset skip guard
+                if hasattr(lobby, '_skip_guard_key'):
+                    lobby._skip_guard_key = None
+                    logger_uma.debug("[CareerLoopAgent] Reset skip guard key")
+            
+            logger_uma.info("[CareerLoopAgent] Agent state reset complete")
+            
+        except Exception as e:
+            logger_uma.warning(
+                "[CareerLoopAgent] Error resetting agent state: %s (continuing anyway)",
+                str(e),
+            )
+
     def _handle_career_completion(self) -> bool:
         """
         Handle career completion flow and return to home screen.
@@ -479,7 +534,7 @@ def _handle_career_completion(self) -> bool:
         1. Click "career_complete" button
         2. Click "finish" button
         3. Wait 5 seconds for results processing
-        4. Click "To Home", "Close", "Next" until ui_home is found
+        4. Click "To Home", "Close", "Next", "Cancel" until ui_home is found
            (avoiding "Edit Team" button)
         
         Returns:
@@ -554,7 +609,7 @@ def _handle_career_completion(self) -> bool:
                 # Try to click "To Home", "Close", "Next", "OK" buttons
                 clicked = self.waiter.click_when(
                     classes=["ui_home", "button_green", "button_white", "button_blue", "button_close"],
-                    texts=["home", "close", "next", "ok", "confirm"],
+                    texts=["home", "close", "next", "ok", "confirm", "cancel"],
                     threshold=0.68,
                     timeout_s=3.0,
                     tag=f"career_completion_nav_{clicks_count}",
@@ -592,6 +647,98 @@ def _handle_career_completion(self) -> bool:
             )
             return False
 
+    def _handle_failed_career(self) -> bool:
+        """
+        Check if white_button has "cancel" and green button has "try again"
+        Its mean the race is failed,
+        1. Click on white_button "cancel"
+        """
+
+        logger_uma.info("[CareerLoopAgent] Checking for failed career state")
+
+        try:
+            # Check for cancel and try again buttons
+            img, _, dets = self.yolo_engine.recognize(
+                imgsz=832,
+                conf=0.51,
+                iou=0.45,
+                tag="failed_career_check",
+                agent="career_loop",
+            )
+
+            from core.utils.yolo_objects import filter_by_classes as det_filter
+            cancel_button_dets = det_filter(dets, ["button_white"])
+            try_again_button_dets = det_filter(dets, ["button_green"])
+
+            # If both buttons are present, we have a failed career
+            if cancel_button_dets and try_again_button_dets:
+                logger_uma.info("[CareerLoopAgent] Detected failed career state")
+
+                # Click cancel button
+                self.waiter.click_when(
+                    classes=["button_white"],
+                    texts=["cancel"],
+                    threshold=0.68,
+                    timeout_s=2.0,
+                    tag="failed_career_cancel",
+                )
+
+                self.waiter.click_when(
+                    classes=["button_green"],
+                    texts=["next"],
+                    threshold=0.68,
+                    timeout_s=2.0,
+                    tag="failed_career_next",
+                )
+
+                self.waiter.click_when(
+                    classes=["button_green"],
+                    threshold=0.68,
+                    timeout_s=5.0,
+                    tag="failed_career_next_next",
+                )
+            else:
+                logger_uma.debug("[CareerLoopAgent] Not in failed career state")
+                return False
+
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error checking for failed career: %s",
+                str(e),
+                exc_info=True,
+            )
+        return True
+    def _handle_new_day(self) -> bool:
+        """Handle new day detection and skip if needed.
+
+        This method checks if a new day has started and handles the skip logic
+        the bot will click the button_skip if it exist on the screen
+        Returns:
+            True if new day handled successfully or not detected, False if error occurs
+        """
+        logger_uma.info("[CareerLoopAgent] Checking for new day")
+
+        try:
+            
+            clicked_skip = self.waiter.click_when(
+                classes=["button_skip"],
+                timeout_s=2.0,
+                tag="career_start_skip_1",
+            )
+
+            if clicked_skip:
+                return True
+            else:
+                return False
+
+        except Exception as e:
+            logger_uma.error(
+                "[CareerLoopAgent] Error handling new day: %s",
+                str(e),
+                exc_info=True,
+            )
+            return False
+
     def _execute_career_cycle(self) -> bool:
         """
         Execute one complete career cycle.
@@ -616,6 +763,11 @@ def _execute_career_cycle(self) -> bool:
         self.state.current_career_start_time = time.time()
         
         try:
+            #Check skip button
+            if self._handle_new_day():
+                logger_uma.info("[CareerLoopAgent] Pre-Step: New Day Checker - Clicked skip")
+                return True
+            self._handle_failed_career()
             #Check if in career mode
             if self._check_if_in_career():
                 logger_uma.info("[CareerLoopAgent] Pre-Step: Career checker - Already in career")
@@ -713,6 +865,10 @@ def _execute_career_cycle(self) -> bool:
                 logger_uma.warning("[CareerLoopAgent] Failed to handle skip dialog, continuing anyway")
                 # Continue even if skip handling fails
             
+            # Step 5b: Reset date state for new career
+            logger_uma.info("[CareerLoopAgent] Step 5b: Resetting date state for new career")
+            self._reset_agent_state()
+            
             # Run the agent scenario
             # The agent will run until the career is complete
             logger_uma.info("[CareerLoopAgent] Running agent scenario...")
@@ -722,6 +878,8 @@ def _execute_career_cycle(self) -> bool:
                 "[CareerLoopAgent] Agent scenario completed for career %d",
                 self.state.total_careers_completed + 1,
             )
+
+            self._handle_failed_career()
             
             # Step 6: Handle career completion and return to home
             logger_uma.info("[CareerLoopAgent] Step 6: Handling career completion")
@@ -926,9 +1084,22 @@ def _check_if_in_career(self) -> bool:
                 career_step_det.get("conf", 0.0),
             )
             
-            # Check if text contains "career"
+            # Check if text contains "complete" - this means career is finished
+            if "complete" in text:
+                logger_uma.debug(
+                    "[CareerLoopAgent] career_step text '%s' contains 'complete' - career is finished, not in active career",
+                    text,
+                )
+                return False
+            
+            # Check if text contains "career" or "training"
             if "career" in text or "training" in text:
                 logger_uma.info(f"[CareerLoopAgent] Detected career_step with {text} text - already in career!")
+                
+                # Reset agent state before continuing the career
+                logger_uma.debug("[CareerLoopAgent] Resetting agent state before continuing career")
+                self._reset_agent_state()
+                
                 self.state.is_running = True
                 self.agent_scenario.run()
                 return True
diff --git a/core/settings.py b/core/settings.py
index 913c0372..203bdf8f 100644
--- a/core/settings.py
+++ b/core/settings.py
@@ -531,6 +531,49 @@ def _read_branch(raw_branch: Any) -> tuple[List[dict], Optional[str]]:
                 cls.PRESET_OVERLAY_DURATION = max(1.0, float(adv.get("presetOverlaySeconds")))
             except Exception:
                 pass
+         # Career Loop Configuration
+        career_loop = adv.get("careerLoop", {}) or {}
+        cls.CAREER_LOOP_ENABLED = bool(career_loop.get("enabled", cls.CAREER_LOOP_ENABLED))
+        
+        max_careers = career_loop.get("maxCareers")
+        if max_careers is not None:
+            try:
+                cls.CAREER_LOOP_MAX_CAREERS = int(max_careers) if int(max_careers) > 0 else None
+            except (TypeError, ValueError):
+                pass
+        
+        preferred_support = career_loop.get("preferredSupport")
+        if preferred_support and isinstance(preferred_support, str):
+            cls.CAREER_LOOP_PREFERRED_SUPPORT = preferred_support.strip()
+        
+        preferred_level = career_loop.get("preferredLevel")
+        if preferred_level is not None:
+            try:
+                cls.CAREER_LOOP_PREFERRED_LEVEL = max(1, min(100, int(preferred_level)))
+            except (TypeError, ValueError):
+                pass
+        
+        max_refresh = career_loop.get("maxRefresh")
+        if max_refresh is not None:
+            try:
+                cls.CAREER_LOOP_MAX_REFRESH = max(0, min(20, int(max_refresh)))
+            except (TypeError, ValueError):
+                pass
+        
+        refresh_wait = career_loop.get("refreshWait")
+        if refresh_wait is not None:
+            try:
+                cls.CAREER_LOOP_REFRESH_WAIT = max(1.0, min(30.0, float(refresh_wait)))
+            except (TypeError, ValueError):
+                pass
+        
+        error_threshold = career_loop.get("errorThreshold")
+        if error_threshold is not None:
+            try:
+                cls.CAREER_LOOP_ERROR_THRESHOLD = max(1, min(20, int(error_threshold)))
+            except (TypeError, ValueError):
+                pass
+
         # Update training configuration
         undertrain_threshold = float(
             adv.get("undertrainThreshold", cls.UNDERTRAIN_THRESHOLD)
diff --git a/models/uma_career_loop.pt b/models/uma_career_loop.pt
index db82e7ddbd4d7c65b8e3e45ba63ef6994ce4b200..260bbefdd60d6e2d8f1def699f28dd780818a7bd 100644
GIT binary patch
literal 6264746
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index 00000000..3429c896
--- /dev/null
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pP=["none",fn(0,2,1,-1,0,1,1,0,0,1,3,0),fn(0,3,1,-2,0,2,2,0,0,1,5,0),fn(0,3,3,-2,0,3,4,0,0,1,8,0),fn(0,2,4,-1,0,4,5,0,0,1,10,0),fn(0,3,5,-1,0,5,8,0,0,1,14,0),fn(0,3,5,-1,0,6,10,0,0,1,18,0),fn(0,4,5,-2,0,7,10,1,0,2,16,1),fn(0,5,5,-3,0,8,10,1,0,3,14,2),fn(0,5,6,-3,0,9,12,1,0,3,16,2),fn(0,6,6,-3,0,10,14,1,0,4,18,3),fn(0,6,7,-4,0,11,15,1,0,4,20,3),fn(0,7,8,-4,0,12,17,2,0,5,22,4),fn(0,7,8,-4,0,13,19,2,0,5,24,4),fn(0,7,9,-4,0,14,21,2,0,5,26,4),fn(0,8,9,-5,0,15,22,2,0,6,28,5),fn(0,8,10,-5,0,16,24,2,0,6,30,5),fn(0,8,11,-5,0,17,26,2,0,6,32,5),fn(0,9,11,-5,0,18,28,2,0,7,34,6),fn(0,9,12,-6,0,19,29,2,0,7,36,6),fn(0,10,13,-6,0,20,31,3,0,8,38,7),fn(0,10,13,-6,0,21,33,3,0,8,40,7),fn(0,10,14,-6,0,22,35,3,0,8,42,7),fn(0,11,14,-7,0,23,36,3,0,9,44,8),fn(0,11,15,-7,0,24,38,3,0,9,46,8)],hP={easeInOut:"cubic-bezier(0.4, 0, 0.2, 1)",easeOut:"cubic-bezier(0.0, 0, 0.2, 1)",easeIn:"cubic-bezier(0.4, 0, 1, 1)",sharp:"cubic-bezier(0.4, 0, 0.6, 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o[c]:Wo(d)&&(o[c]={...d},n(o[c]))}}return n(t),`import { unstable_createBreakpoints as createBreakpoints, createTransitions } from '@mui/material/styles';
+
+const theme = ${JSON.stringify(t,null,2)};
+
+theme.breakpoints = createBreakpoints(theme.breakpoints || {});
+theme.transitions = createTransitions(theme.transitions || {});
+
+export default theme;`}function XS(e){return typeof e=="number"?`${(e*100).toFixed(0)}%`:`calc((${e}) * 100%)`}const bP=e=>{if(!Number.isNaN(+e))return+e;const t=e.match(/\d*\.?\d+/g);if(!t)return 0;let n=0;for(let o=0;o<t.length;o+=1)n+=+t[o];return n};function xP(e){Object.assign(e,{alpha(t,n){const o=this||e;return o.colorSpace?`oklch(from ${t} l c h / ${typeof n=="string"?`calc(${n})`:n})`:o.vars?`rgba(${t.replace(/var\(--([^,\s)]+)(?:,[^)]+)?\)+/g,"var(--$1Channel)")} / ${typeof n=="string"?`calc(${n})`:n})`:ba(t,bP(n))},lighten(t,n){const o=this||e;return o.colorSpace?`color-mix(in ${o.colorSpace}, ${t}, #fff ${XS(n)})`:cp(t,n)},darken(t,n){const o=this||e;return o.colorSpace?`color-mix(in ${o.colorSpace}, ${t}, #000 ${XS(n)})`:lp(t,n)}})}function kg(e={},...t){const{breakpoints:n,mixins:o={},spacing:i,palette:l={},transitions:c={},typography:d={},shape:f,colorSpace:m,...g}=e;if(e.vars&&e.generateThemeVars===void 0)throw new Error(Sa(20));const 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+  0% {
+    transform: scale(0);
+    opacity: 0.1;
+  }
+
+  100% {
+    transform: scale(1);
+    opacity: 0.3;
+  }
+`,bj=si`
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+  }
+`,xj=si`
+  0% {
+    transform: scale(1);
+  }
+
+  50% {
+    transform: scale(0.92);
+  }
+
+  100% {
+    transform: scale(1);
+  }
+`,Sj=ie("span",{name:"MuiTouchRipple",slot:"Root"})({overflow:"hidden",pointerEvents:"none",position:"absolute",zIndex:0,top:0,right:0,bottom:0,left:0,borderRadius:"inherit"}),Cj=ie(gj,{name:"MuiTouchRipple",slot:"Ripple"})`
+  opacity: 0;
+  position: absolute;
+
+  &.${fo.rippleVisible} {
+    opacity: 0.3;
+    transform: scale(1);
+    animation-name: ${vj};
+    animation-duration: ${zg}ms;
+    animation-timing-function: ${({theme:e})=>e.transitions.easing.easeInOut};
+  }
+
+  &.${fo.ripplePulsate} {
+    animation-duration: ${({theme:e})=>e.transitions.duration.shorter}ms;
+  }
+
+  & .${fo.child} {
+    opacity: 1;
+    display: block;
+    width: 100%;
+    height: 100%;
+    border-radius: 50%;
+    background-color: currentColor;
+  }
+
+  & .${fo.childLeaving} {
+    opacity: 0;
+    animation-name: ${bj};
+    animation-duration: ${zg}ms;
+    animation-timing-function: ${({theme:e})=>e.transitions.easing.easeInOut};
+  }
+
+  & .${fo.childPulsate} {
+    position: absolute;
+    /* @noflip */
+    left: 0px;
+    top: 0;
+    animation-name: ${xj};
+    animation-duration: 2500ms;
+    animation-timing-function: ${({theme:e})=>e.transitions.easing.easeInOut};
+    animation-iteration-count: infinite;
+    animation-delay: 200ms;
+  }
+`,wj=b.forwardRef(function(t,n){const o=Qe({props:t,name:"MuiTouchRipple"}),{center:i=!1,classes:l={},className:c,...d}=o,[f,m]=b.useState([]),g=b.useRef(0),v=b.useRef(null);b.useEffect(()=>{v.current&&(v.current(),v.current=null)},[f]);const x=b.useRef(!1),C=Qa(),w=b.useRef(null),S=b.useRef(null),T=b.useCallback(A=>{const{pulsate:M,rippleX:_,rippleY:$,rippleSize:z,cb:B}=A;m(U=>[...U,p.jsx(Cj,{classes:{ripple:Ae(l.ripple,fo.ripple),rippleVisible:Ae(l.rippleVisible,fo.rippleVisible),ripplePulsate:Ae(l.ripplePulsate,fo.ripplePulsate),child:Ae(l.child,fo.child),childLeaving:Ae(l.childLeaving,fo.childLeaving),childPulsate:Ae(l.childPulsate,fo.childPulsate)},timeout:zg,pulsate:M,rippleX:_,rippleY:$,rippleSize:z},g.current)]),g.current+=1,v.current=B},[l]),k=b.useCallback((A={},M={},_=()=>{})=>{const{pulsate:$=!1,center:z=i||M.pulsate,fakeElement:B=!1}=M;if(A?.type==="mousedown"&&x.current){x.current=!1;return}A?.type==="touchstart"&&(x.current=!0);const 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Ke({root:["root",n&&"expanded",o&&"disabled",!i&&"gutters"],focusVisible:["focusVisible"],content:["content",n&&"expanded",!i&&"contentGutters"],expandIconWrapper:["expandIconWrapper",n&&"expanded"]},kj,t)},Mj=ie(bo,{name:"MuiAccordionSummary",slot:"Root"})(Fe(({theme:e})=>{const t={duration:e.transitions.duration.shortest};return{display:"flex",width:"100%",minHeight:48,padding:e.spacing(0,2),transition:e.transitions.create(["min-height","background-color"],t),[`&.${Gs.focusVisible}`]:{backgroundColor:(e.vars||e).palette.action.focus},[`&.${Gs.disabled}`]:{opacity:(e.vars||e).palette.action.disabledOpacity},[`&:hover:not(.${Gs.disabled})`]:{cursor:"pointer"},variants:[{props:n=>!n.disableGutters,style:{[`&.${Gs.expanded}`]:{minHeight:64}}}]}})),Pj=ie("span",{name:"MuiAccordionSummary",slot:"Content"})(Fe(({theme:e})=>({display:"flex",textAlign:"start",flexGrow:1,margin:"12px 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o=Qe({props:t,name:"MuiAccordionSummary"}),{children:i,className:l,expandIcon:c,focusVisibleClassName:d,onClick:f,slots:m,slotProps:g,...v}=o,{disabled:x=!1,disableGutters:C,expanded:w,toggle:S}=b.useContext(CR),T=U=>{S&&S(U),f&&f(U)},k={...o,expanded:w,disabled:x,disableGutters:C},P=Oj(k),R={slots:m,slotProps:g},[A,M]=qe("root",{ref:n,shouldForwardComponentProp:!0,className:Ae(P.root,l),elementType:Mj,externalForwardedProps:{...R,...v},ownerState:k,additionalProps:{focusRipple:!1,disableRipple:!0,disabled:x,"aria-expanded":w,focusVisibleClassName:Ae(P.focusVisible,d)},getSlotProps:U=>({...U,onClick:q=>{U.onClick?.(q),T(q)}})}),[_,$]=qe("content",{className:P.content,elementType:Pj,externalForwardedProps:R,ownerState:k}),[z,B]=qe("expandIconWrapper",{className:P.expandIconWrapper,elementType:jj,externalForwardedProps:R,ownerState:k});return p.jsxs(A,{...M,children:[p.jsx(_,{...$,children:i}),c&&p.jsx(z,{...B,children:c})]})});function zj(e){return typeof e.main=="string"}function Dj(e,t=[]){if(!zj(e))return!1;for(const n of t)if(!e.hasOwnProperty(n)||typeof e[n]!="string")return!1;return!0}function tn(e=[]){return([,t])=>t&&Dj(t,e)}function $j(e){return We("MuiAlert",e)}const r1=Ze("MuiAlert",["root","action","icon","message","filled","colorSuccess","colorInfo","colorWarning","colorError","filledSuccess","filledInfo","filledWarning","filledError","outlined","outlinedSuccess","outlinedInfo","outlinedWarning","outlinedError","standard","standardSuccess","standardInfo","standardWarning","standardError"]);function Nj(e){return We("MuiCircularProgress",e)}Ze("MuiCircularProgress",["root","determinate","indeterminate","colorPrimary","colorSecondary","svg","circle","circleDeterminate","circleIndeterminate","circleDisableShrink"]);const Wa=44,Dg=si`
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+`,$g=si`
+  0% {
+    stroke-dasharray: 1px, 200px;
+    stroke-dashoffset: 0;
+  }
+
+  50% {
+    stroke-dasharray: 100px, 200px;
+    stroke-dashoffset: -15px;
+  }
+
+  100% {
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+    stroke-dashoffset: -126px;
+  }
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+        animation: ${Dg} 1.4s linear infinite;
+      `:null,Lj=typeof $g!="string"?fl`
+        animation: ${$g} 1.4s ease-in-out infinite;
+      `:null,Bj=e=>{const{classes:t,variant:n,color:o,disableShrink:i}=e,l={root:["root",n,`color${de(o)}`],svg:["svg"],circle:["circle",`circle${de(n)}`,i&&"circleDisableShrink"]};return Ke(l,Nj,t)},Uj=ie("span",{name:"MuiCircularProgress",slot:"Root",overridesResolver:(e,t)=>{const{ownerState:n}=e;return[t.root,t[n.variant],t[`color${de(n.color)}`]]}})(Fe(({theme:e})=>({display:"inline-block",variants:[{props:{variant:"determinate"},style:{transition:e.transitions.create("transform")}},{props:{variant:"indeterminate"},style:Ij||{animation:`${Dg} 1.4s linear 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this.getObserversCount()>0?this.observers.some(e=>e.getCurrentResult().isStale):this.state.data===void 0||this.state.isInvalidated}isStaleByTime(e=0){return this.state.data===void 0?!0:e==="static"?!1:this.state.isInvalidated?!0:!a2(this.state.dataUpdatedAt,e)}onFocus(){this.observers.find(t=>t.shouldFetchOnWindowFocus())?.refetch({cancelRefetch:!1}),this.#r?.continue()}onOnline(){this.observers.find(t=>t.shouldFetchOnReconnect())?.refetch({cancelRefetch:!1}),this.#r?.continue()}addObserver(e){this.observers.includes(e)||(this.observers.push(e),this.clearGcTimeout(),this.#n.notify({type:"observerAdded",query:this,observer:e}))}removeObserver(e){this.observers.includes(e)&&(this.observers=this.observers.filter(t=>t!==e),this.observers.length||(this.#r&&(this.#i?this.#r.cancel({revert:!0}):this.#r.cancelRetry()),this.scheduleGc()),this.#n.notify({type:"observerRemoved",query:this,observer:e}))}getObserversCount(){return this.observers.length}invalidate(){this.state.isInvalidated||this.#a({type:"invalidate"})}async fetch(e,t){if(this.state.fetchStatus!=="idle"&&this.#r?.status()!=="rejected"){if(this.state.data!==void 0&&t?.cancelRefetch)this.cancel({silent:!0});else if(this.#r)return this.#r.continueRetry(),this.#r.promise}if(e&&this.setOptions(e),!this.options.queryFn){const d=this.observers.find(f=>f.options.queryFn);d&&this.setOptions(d.options)}const n=new AbortController,o=d=>{Object.defineProperty(d,"signal",{enumerable:!0,get:()=>(this.#i=!0,n.signal)})},i=()=>{const d=s2(this.options,t),m=(()=>{const g={client:this.#o,queryKey:this.queryKey,meta:this.meta};return o(g),g})();return this.#i=!1,this.options.persister?this.options.persister(d,m,this):d(m)},c=(()=>{const d={fetchOptions:t,options:this.options,queryKey:this.queryKey,client:this.#o,state:this.state,fetchFn:i};return o(d),d})();this.options.behavior?.onFetch(c,this),this.#t=this.state,(this.state.fetchStatus==="idle"||this.state.fetchMeta!==c.fetchOptions?.meta)&&this.#a({type:"fetch",meta:c.fetchOptions?.meta}),this.#r=c2({initialPromise:t?.initialPromise,fn:c.fetchFn,onCancel:d=>{d instanceof ty&&d.revert&&this.setState({...this.#t,fetchStatus:"idle"}),n.abort()},onFail:(d,f)=>{this.#a({type:"failed",failureCount:d,error:f})},onPause:()=>{this.#a({type:"pause"})},onContinue:()=>{this.#a({type:"continue"})},retry:c.options.retry,retryDelay:c.options.retryDelay,networkMode:c.options.networkMode,canRun:()=>!0});try{const d=await this.#r.start();if(d===void 0)throw new Error(`${this.queryHash} data is undefined`);return this.setData(d),this.#n.config.onSuccess?.(d,this),this.#n.config.onSettled?.(d,this.state.error,this),d}catch(d){if(d instanceof ty){if(d.silent)return this.#r.promise;if(d.revert){if(this.state.data===void 0)throw d;return this.state.data}}throw this.#a({type:"error",error:d}),this.#n.config.onError?.(d,this),this.#n.config.onSettled?.(this.state.data,d,this),d}finally{this.scheduleGc()}}#a(e){const t=n=>{switch(e.type){case"failed":return{...n,fetchFailureCount:e.failureCount,fetchFailureReason:e.error};case"pause":return{...n,fetchStatus:"paused"};case"continue":return{...n,fetchStatus:"fetching"};case"fetch":return{...n,...d2(n.data,this.options),fetchMeta:e.meta??null};case"success":const o={...n,data:e.data,dataUpdateCount:n.dataUpdateCount+1,dataUpdatedAt:e.dataUpdatedAt??Date.now(),error:null,isInvalidated:!1,status:"success",...!e.manual&&{fetchStatus:"idle",fetchFailureCount:0,fetchFailureReason:null}};return this.#t=e.manual?o:void 0,o;case"error":const i=e.error;return{...n,error:i,errorUpdateCount:n.errorUpdateCount+1,errorUpdatedAt:Date.now(),fetchFailureCount:n.fetchFailureCount+1,fetchFailureReason:i,fetchStatus:"idle",status:"error"};case"invalidate":return{...n,isInvalidated:!0};case"setState":return{...n,...e.state}}};this.state=t(this.state),cr.batch(()=>{this.observers.forEach(n=>{n.onQueryUpdate()}),this.#n.notify({query:this,type:"updated",action:e})})}};function d2(e,t){return{fetchFailureCount:0,fetchFailureReason:null,fetchStatus:l2(t.networkMode)?"fetching":"paused",...e===void 0&&{error:null,status:"pending"}}}function aC(e){const t=typeof e.initialData=="function"?e.initialData():e.initialData,n=t!==void 0,o=n?typeof e.initialDataUpdatedAt=="function"?e.initialDataUpdatedAt():e.initialDataUpdatedAt:0;return{data:t,dataUpdateCount:0,dataUpdatedAt:n?o??Date.now():0,error:null,errorUpdateCount:0,errorUpdatedAt:0,fetchFailureCount:0,fetchFailureReason:null,fetchMeta:null,isInvalidated:!1,status:n?"success":"pending",fetchStatus:"idle"}}var SI=class extends yu{constructor(e,t){super(),this.options=t,this.#e=e,this.#a=null,this.#i=ey(),this.bindMethods(),this.setOptions(t)}#e;#t=void 0;#n=void 0;#o=void 0;#r;#s;#i;#a;#m;#f;#p;#c;#u;#l;#h=new Set;bindMethods(){this.refetch=this.refetch.bind(this)}onSubscribe(){this.listeners.size===1&&(this.#t.addObserver(this),iC(this.#t,this.options)?this.#d():this.updateResult(),this.#b())}onUnsubscribe(){this.hasListeners()||this.destroy()}shouldFetchOnReconnect(){return ny(this.#t,this.options,this.options.refetchOnReconnect)}shouldFetchOnWindowFocus(){return ny(this.#t,this.options,this.options.refetchOnWindowFocus)}destroy(){this.listeners=new Set,this.#x(),this.#S(),this.#t.removeObserver(this)}setOptions(e){const t=this.options,n=this.#t;if(this.options=this.#e.defaultQueryOptions(e),this.options.enabled!==void 0&&typeof this.options.enabled!="boolean"&&typeof this.options.enabled!="function"&&typeof po(this.options.enabled,this.#t)!="boolean")throw new Error("Expected enabled to be a boolean or a callback that returns a boolean");this.#C(),this.#t.setOptions(this.options),t._defaulted&&!Xg(this.options,t)&&this.#e.getQueryCache().notify({type:"observerOptionsUpdated",query:this.#t,observer:this});const o=this.hasListeners();o&&sC(this.#t,n,this.options,t)&&this.#d(),this.updateResult(),o&&(this.#t!==n||po(this.options.enabled,this.#t)!==po(t.enabled,this.#t)||ti(this.options.staleTime,this.#t)!==ti(t.staleTime,this.#t))&&this.#g();const i=this.#y();o&&(this.#t!==n||po(this.options.enabled,this.#t)!==po(t.enabled,this.#t)||i!==this.#l)&&this.#v(i)}getOptimisticResult(e){const t=this.#e.getQueryCache().build(this.#e,e),n=this.createResult(t,e);return wI(this,n)&&(this.#o=n,this.#s=this.options,this.#r=this.#t.state),n}getCurrentResult(){return this.#o}trackResult(e,t){return new Proxy(e,{get:(n,o)=>(this.trackProp(o),t?.(o),o==="promise"&&!this.options.experimental_prefetchInRender&&this.#i.status==="pending"&&this.#i.reject(new Error("experimental_prefetchInRender feature flag is not enabled")),Reflect.get(n,o))})}trackProp(e){this.#h.add(e)}getCurrentQuery(){return this.#t}refetch({...e}={}){return this.fetch({...e})}fetchOptimistic(e){const t=this.#e.defaultQueryOptions(e),n=this.#e.getQueryCache().build(this.#e,t);return n.fetch().then(()=>this.createResult(n,t))}fetch(e){return this.#d({...e,cancelRefetch:e.cancelRefetch??!0}).then(()=>(this.updateResult(),this.#o))}#d(e){this.#C();let t=this.#t.fetch(this.options,e);return e?.throwOnError||(t=t.catch(kr)),t}#g(){this.#x();const e=ti(this.options.staleTime,this.#t);if(Wi||this.#o.isStale||!Yg(e))return;const n=a2(this.#o.dataUpdatedAt,e)+1;this.#c=Ni.setTimeout(()=>{this.#o.isStale||this.updateResult()},n)}#y(){return(typeof this.options.refetchInterval=="function"?this.options.refetchInterval(this.#t):this.options.refetchInterval)??!1}#v(e){this.#S(),this.#l=e,!(Wi||po(this.options.enabled,this.#t)===!1||!Yg(this.#l)||this.#l===0)&&(this.#u=Ni.setInterval(()=>{(this.options.refetchIntervalInBackground||nv.isFocused())&&this.#d()},this.#l))}#b(){this.#g(),this.#v(this.#y())}#x(){this.#c&&(Ni.clearTimeout(this.#c),this.#c=void 0)}#S(){this.#u&&(Ni.clearInterval(this.#u),this.#u=void 0)}createResult(e,t){const n=this.#t,o=this.options,i=this.#o,l=this.#r,c=this.#s,f=e!==n?e.state:this.#n,{state:m}=e;let g={...m},v=!1,x;if(t._optimisticResults){const z=this.hasListeners(),B=!z&&iC(e,t),U=z&&sC(e,n,t,o);(B||U)&&(g={...g,...d2(m.data,e.options)}),t._optimisticResults==="isRestoring"&&(g.fetchStatus="idle")}let{error:C,errorUpdatedAt:w,status:S}=g;x=g.data;let T=!1;if(t.placeholderData!==void 0&&x===void 0&&S==="pending"){let z;i?.isPlaceholderData&&t.placeholderData===c?.placeholderData?(z=i.data,T=!0):z=typeof t.placeholderData=="function"?t.placeholderData(this.#p?.state.data,this.#p):t.placeholderData,z!==void 0&&(S="success",x=Jg(i?.data,z,t),v=!0)}if(t.select&&x!==void 0&&!T)if(i&&x===l?.data&&t.select===this.#m)x=this.#f;else try{this.#m=t.select,x=t.select(x),x=Jg(i?.data,x,t),this.#f=x,this.#a=null}catch(z){this.#a=z}this.#a&&(C=this.#a,x=this.#f,w=Date.now(),S="error");const k=g.fetchStatus==="fetching",P=S==="pending",R=S==="error",A=P&&k,M=x!==void 0,$={status:S,fetchStatus:g.fetchStatus,isPending:P,isSuccess:S==="success",isError:R,isInitialLoading:A,isLoading:A,data:x,dataUpdatedAt:g.dataUpdatedAt,error:C,errorUpdatedAt:w,failureCount:g.fetchFailureCount,failureReason:g.fetchFailureReason,errorUpdateCount:g.errorUpdateCount,isFetched:g.dataUpdateCount>0||g.errorUpdateCount>0,isFetchedAfterMount:g.dataUpdateCount>f.dataUpdateCount||g.errorUpdateCount>f.errorUpdateCount,isFetching:k,isRefetching:k&&!P,isLoadingError:R&&!M,isPaused:g.fetchStatus==="paused",isPlaceholderData:v,isRefetchError:R&&M,isStale:rv(e,t),refetch:this.refetch,promise:this.#i,isEnabled:po(t.enabled,e)!==!1};if(this.options.experimental_prefetchInRender){const z=q=>{$.status==="error"?q.reject($.error):$.data!==void 0&&q.resolve($.data)},B=()=>{const q=this.#i=$.promise=ey();z(q)},U=this.#i;switch(U.status){case"pending":e.queryHash===n.queryHash&&z(U);break;case"fulfilled":($.status==="error"||$.data!==U.value)&&B();break;case"rejected":($.status!=="error"||$.error!==U.reason)&&B();break}}return $}updateResult(){const e=this.#o,t=this.createResult(this.#t,this.options);if(this.#r=this.#t.state,this.#s=this.options,this.#r.data!==void 0&&(this.#p=this.#t),Xg(t,e))return;this.#o=t;const n=()=>{if(!e)return!0;const{notifyOnChangeProps:o}=this.options,i=typeof o=="function"?o():o;if(i==="all"||!i&&!this.#h.size)return!0;const l=new Set(i??this.#h);return this.options.throwOnError&&l.add("error"),Object.keys(this.#o).some(c=>{const d=c;return this.#o[d]!==e[d]&&l.has(d)})};this.#w({listeners:n()})}#C(){const e=this.#e.getQueryCache().build(this.#e,this.options);if(e===this.#t)return;const t=this.#t;this.#t=e,this.#n=e.state,this.hasListeners()&&(t?.removeObserver(this),e.addObserver(this))}onQueryUpdate(){this.updateResult(),this.hasListeners()&&this.#b()}#w(e){cr.batch(()=>{e.listeners&&this.listeners.forEach(t=>{t(this.#o)}),this.#e.getQueryCache().notify({query:this.#t,type:"observerResultsUpdated"})})}};function CI(e,t){return po(t.enabled,e)!==!1&&e.state.data===void 0&&!(e.state.status==="error"&&t.retryOnMount===!1)}function iC(e,t){return CI(e,t)||e.state.data!==void 0&&ny(e,t,t.refetchOnMount)}function ny(e,t,n){if(po(t.enabled,e)!==!1&&ti(t.staleTime,e)!=="static"){const o=typeof n=="function"?n(e):n;return o==="always"||o!==!1&&rv(e,t)}return!1}function sC(e,t,n,o){return(e!==t||po(o.enabled,e)===!1)&&(!n.suspense||e.state.status!=="error")&&rv(e,n)}function rv(e,t){return po(t.enabled,e)!==!1&&e.isStaleByTime(ti(t.staleTime,e))}function wI(e,t){return!Xg(e.getCurrentResult(),t)}function lC(e){return{onFetch:(t,n)=>{const o=t.options,i=t.fetchOptions?.meta?.fetchMore?.direction,l=t.state.data?.pages||[],c=t.state.data?.pageParams||[];let d={pages:[],pageParams:[]},f=0;const m=async()=>{let g=!1;const v=w=>{Object.defineProperty(w,"signal",{enumerable:!0,get:()=>(t.signal.aborted?g=!0:t.signal.addEventListener("abort",()=>{g=!0}),t.signal)})},x=s2(t.options,t.fetchOptions),C=async(w,S,T)=>{if(g)return Promise.reject();if(S==null&&w.pages.length)return Promise.resolve(w);const P=(()=>{const _={client:t.client,queryKey:t.queryKey,pageParam:S,direction:T?"backward":"forward",meta:t.options.meta};return v(_),_})(),R=await x(P),{maxPages:A}=t.options,M=T?pI:fI;return{pages:M(w.pages,R,A),pageParams:M(w.pageParams,S,A)}};if(i&&l.length){const w=i==="backward",S=w?RI:cC,T={pages:l,pageParams:c},k=S(o,T);d=await C(T,k,w)}else{const w=e??l.length;do{const S=f===0?c[0]??o.initialPageParam:cC(o,d);if(f>0&&S==null)break;d=await C(d,S),f++}while(f<w)}return d};t.options.persister?t.fetchFn=()=>t.options.persister?.(m,{client:t.client,queryKey:t.queryKey,meta:t.options.meta,signal:t.signal},n):t.fetchFn=m}}}function cC(e,{pages:t,pageParams:n}){const o=t.length-1;return t.length>0?e.getNextPageParam(t[o],t,n[o],n):void 0}function RI(e,{pages:t,pageParams:n}){return t.length>0?e.getPreviousPageParam?.(t[0],t,n[0],n):void 0}var TI=class extends u2{#e;#t;#n;#o;constructor(e){super(),this.#e=e.client,this.mutationId=e.mutationId,this.#n=e.mutationCache,this.#t=[],this.state=e.state||EI(),this.setOptions(e.options),this.scheduleGc()}setOptions(e){this.options=e,this.updateGcTime(this.options.gcTime)}get meta(){return this.options.meta}addObserver(e){this.#t.includes(e)||(this.#t.push(e),this.clearGcTimeout(),this.#n.notify({type:"observerAdded",mutation:this,observer:e}))}removeObserver(e){this.#t=this.#t.filter(t=>t!==e),this.scheduleGc(),this.#n.notify({type:"observerRemoved",mutation:this,observer:e})}optionalRemove(){this.#t.length||(this.state.status==="pending"?this.scheduleGc():this.#n.remove(this))}continue(){return this.#o?.continue()??this.execute(this.state.variables)}async execute(e){const t=()=>{this.#r({type:"continue"})},n={client:this.#e,meta:this.options.meta,mutationKey:this.options.mutationKey};this.#o=c2({fn:()=>this.options.mutationFn?this.options.mutationFn(e,n):Promise.reject(new Error("No mutationFn found")),onFail:(l,c)=>{this.#r({type:"failed",failureCount:l,error:c})},onPause:()=>{this.#r({type:"pause"})},onContinue:t,retry:this.options.retry??0,retryDelay:this.options.retryDelay,networkMode:this.options.networkMode,canRun:()=>this.#n.canRun(this)});const o=this.state.status==="pending",i=!this.#o.canStart();try{if(o)t();else{this.#r({type:"pending",variables:e,isPaused:i}),await this.#n.config.onMutate?.(e,this,n);const c=await this.options.onMutate?.(e,n);c!==this.state.context&&this.#r({type:"pending",context:c,variables:e,isPaused:i})}const l=await this.#o.start();return await this.#n.config.onSuccess?.(l,e,this.state.context,this,n),await this.options.onSuccess?.(l,e,this.state.context,n),await this.#n.config.onSettled?.(l,null,this.state.variables,this.state.context,this,n),await this.options.onSettled?.(l,null,e,this.state.context,n),this.#r({type:"success",data:l}),l}catch(l){try{throw await this.#n.config.onError?.(l,e,this.state.context,this,n),await this.options.onError?.(l,e,this.state.context,n),await this.#n.config.onSettled?.(void 0,l,this.state.variables,this.state.context,this,n),await this.options.onSettled?.(void 0,l,e,this.state.context,n),l}finally{this.#r({type:"error",error:l})}}finally{this.#n.runNext(this)}}#r(e){const t=n=>{switch(e.type){case"failed":return{...n,failureCount:e.failureCount,failureReason:e.error};case"pause":return{...n,isPaused:!0};case"continue":return{...n,isPaused:!1};case"pending":return{...n,context:e.context,data:void 0,failureCount:0,failureReason:null,error:null,isPaused:e.isPaused,status:"pending",variables:e.variables,submittedAt:Date.now()};case"success":return{...n,data:e.data,failureCount:0,failureReason:null,error:null,status:"success",isPaused:!1};case"error":return{...n,data:void 0,error:e.error,failureCount:n.failureCount+1,failureReason:e.error,isPaused:!1,status:"error"}}};this.state=t(this.state),cr.batch(()=>{this.#t.forEach(n=>{n.onMutationUpdate(e)}),this.#n.notify({mutation:this,type:"updated",action:e})})}};function EI(){return{context:void 0,data:void 0,error:null,failureCount:0,failureReason:null,isPaused:!1,status:"idle",variables:void 0,submittedAt:0}}var AI=class extends yu{constructor(e={}){super(),this.config=e,this.#e=new Set,this.#t=new Map,this.#n=0}#e;#t;#n;build(e,t,n){const o=new TI({client:e,mutationCache:this,mutationId:++this.#n,options:e.defaultMutationOptions(t),state:n});return this.add(o),o}add(e){this.#e.add(e);const t=Xd(e);if(typeof t=="string"){const n=this.#t.get(t);n?n.push(e):this.#t.set(t,[e])}this.notify({type:"added",mutation:e})}remove(e){if(this.#e.delete(e)){const t=Xd(e);if(typeof t=="string"){const n=this.#t.get(t);if(n)if(n.length>1){const o=n.indexOf(e);o!==-1&&n.splice(o,1)}else n[0]===e&&this.#t.delete(t)}}this.notify({type:"removed",mutation:e})}canRun(e){const t=Xd(e);if(typeof t=="string"){const o=this.#t.get(t)?.find(i=>i.state.status==="pending");return!o||o===e}else return!0}runNext(e){const t=Xd(e);return typeof t=="string"?this.#t.get(t)?.find(o=>o!==e&&o.state.isPaused)?.continue()??Promise.resolve():Promise.resolve()}clear(){cr.batch(()=>{this.#e.forEach(e=>{this.notify({type:"removed",mutation:e})}),this.#e.clear(),this.#t.clear()})}getAll(){return Array.from(this.#e)}find(e){const t={exact:!0,...e};return this.getAll().find(n=>nC(t,n))}findAll(e={}){return this.getAll().filter(t=>nC(e,t))}notify(e){cr.batch(()=>{this.listeners.forEach(t=>{t(e)})})}resumePausedMutations(){const e=this.getAll().filter(t=>t.state.isPaused);return cr.batch(()=>Promise.all(e.map(t=>t.continue().catch(kr))))}};function Xd(e){return e.options.scope?.id}var kI=class extends yu{constructor(e={}){super(),this.config=e,this.#e=new Map}#e;build(e,t,n){const o=t.queryKey,i=t.queryHash??ev(o,t);let l=this.get(i);return l||(l=new xI({client:e,queryKey:o,queryHash:i,options:e.defaultQueryOptions(t),state:n,defaultOptions:e.getQueryDefaults(o)}),this.add(l)),l}add(e){this.#e.has(e.queryHash)||(this.#e.set(e.queryHash,e),this.notify({type:"added",query:e}))}remove(e){const t=this.#e.get(e.queryHash);t&&(e.destroy(),t===e&&this.#e.delete(e.queryHash),this.notify({type:"removed",query:e}))}clear(){cr.batch(()=>{this.getAll().forEach(e=>{this.remove(e)})})}get(e){return this.#e.get(e)}getAll(){return[...this.#e.values()]}find(e){const t={exact:!0,...e};return this.getAll().find(n=>tC(t,n))}findAll(e={}){const t=this.getAll();return Object.keys(e).length>0?t.filter(n=>tC(e,n)):t}notify(e){cr.batch(()=>{this.listeners.forEach(t=>{t(e)})})}onFocus(){cr.batch(()=>{this.getAll().forEach(e=>{e.onFocus()})})}onOnline(){cr.batch(()=>{this.getAll().forEach(e=>{e.onOnline()})})}},OI=class{#e;#t;#n;#o;#r;#s;#i;#a;constructor(e={}){this.#e=e.queryCache||new kI,this.#t=e.mutationCache||new 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o=n._zod.bag;o.format="ipv4"})}),RB=ve("$ZodIPv6",(e,t)=>{t.pattern??(t.pattern=_L),hn.init(e,t),e._zod.onattach.push(n=>{const o=n._zod.bag;o.format="ipv6"}),e._zod.check=n=>{try{new URL(`http://[${n.value}]`)}catch{n.issues.push({code:"invalid_format",format:"ipv6",input:n.value,inst:e,continue:!t.abort})}}}),TB=ve("$ZodCIDRv4",(e,t)=>{t.pattern??(t.pattern=zL),hn.init(e,t)}),EB=ve("$ZodCIDRv6",(e,t)=>{t.pattern??(t.pattern=DL),hn.init(e,t),e._zod.check=n=>{const o=n.value.split("/");try{if(o.length!==2)throw new Error;const[i,l]=o;if(!l)throw new Error;const c=Number(l);if(`${c}`!==l)throw new Error;if(c<0||c>128)throw new Error;new URL(`http://[${i}]`)}catch{n.issues.push({code:"invalid_format",format:"cidrv6",input:n.value,inst:e,continue:!t.abort})}}});function A2(e){if(e==="")return!0;if(e.length%4!==0)return!1;try{return atob(e),!0}catch{return!1}}const AB=ve("$ZodBase64",(e,t)=>{t.pattern??(t.pattern=$L),hn.init(e,t),e._zod.onattach.push(n=>{n._zod.bag.contentEncoding="base64"}),e._zod.check=n=>{A2(n.value)||n.issues.push({code:"invalid_format",format:"base64",input:n.value,inst:e,continue:!t.abort})}});function kB(e){if(!S2.test(e))return!1;const t=e.replace(/[-_]/g,o=>o==="-"?"+":"/"),n=t.padEnd(Math.ceil(t.length/4)*4,"=");return A2(n)}const OB=ve("$ZodBase64URL",(e,t)=>{t.pattern??(t.pattern=S2),hn.init(e,t),e._zod.onattach.push(n=>{n._zod.bag.contentEncoding="base64url"}),e._zod.check=n=>{kB(n.value)||n.issues.push({code:"invalid_format",format:"base64url",input:n.value,inst:e,continue:!t.abort})}}),MB=ve("$ZodE164",(e,t)=>{t.pattern??(t.pattern=IL),hn.init(e,t)});function PB(e,t=null){try{const n=e.split(".");if(n.length!==3)return!1;const[o]=n;if(!o)return!1;const i=JSON.parse(atob(o));return!("typ"in i&&i?.typ!=="JWT"||!i.alg||t&&(!("alg"in i)||i.alg!==t))}catch{return!1}}const jB=ve("$ZodJWT",(e,t)=>{hn.init(e,t),e._zod.check=n=>{PB(n.value,t.alg)||n.issues.push({code:"invalid_format",format:"jwt",input:n.value,inst:e,continue:!t.abort})}}),k2=ve("$ZodNumber",(e,t)=>{kn.init(e,t),e._zod.pattern=e._zod.bag.pattern??qL,e._zod.parse=(n,o)=>{if(t.coerce)try{n.value=Number(n.value)}catch{}const i=n.value;if(typeof i=="number"&&!Number.isNaN(i)&&Number.isFinite(i))return n;const l=typeof i=="number"?Number.isNaN(i)?"NaN":Number.isFinite(i)?void 0:"Infinity":void 0;return n.issues.push({expected:"number",code:"invalid_type",input:i,inst:e,...l?{received:l}:{}}),n}}),_B=ve("$ZodNumber",(e,t)=>{KL.init(e,t),k2.init(e,t)}),zB=ve("$ZodBoolean",(e,t)=>{kn.init(e,t),e._zod.pattern=VL,e._zod.parse=(n,o)=>{if(t.coerce)try{n.value=!!n.value}catch{}const i=n.value;return typeof i=="boolean"||n.issues.push({expected:"boolean",code:"invalid_type",input:i,inst:e}),n}}),DB=ve("$ZodUnknown",(e,t)=>{kn.init(e,t),e._zod.parse=n=>n}),$B=ve("$ZodNever",(e,t)=>{kn.init(e,t),e._zod.parse=(n,o)=>(n.issues.push({expected:"never",code:"invalid_type",input:n.value,inst:e}),n)});function gC(e,t,n){e.issues.length&&t.issues.push(...Ks(n,e.issues)),t.value[n]=e.value}const NB=ve("$ZodArray",(e,t)=>{kn.init(e,t),e._zod.parse=(n,o)=>{const i=n.value;if(!Array.isArray(i))return n.issues.push({expected:"array",code:"invalid_type",input:i,inst:e}),n;n.value=Array(i.length);const l=[];for(let c=0;c<i.length;c++){const d=i[c],f=t.element._zod.run({value:d,issues:[]},o);f instanceof Promise?l.push(f.then(m=>gC(m,n,c))):gC(f,n,c)}return l.length?Promise.all(l).then(()=>n):n}});function Ff(e,t,n,o){e.issues.length&&t.issues.push(...Ks(n,e.issues)),e.value===void 0?n in o&&(t.value[n]=void 0):t.value[n]=e.value}function O2(e){const t=Object.keys(e.shape);for(const o of t)if(!e.shape?.[o]?._zod?.traits?.has("$ZodType"))throw new Error(`Invalid element at key "${o}": expected a Zod schema`);const n=eL(e.shape);return{...e,keys:t,keySet:new Set(t),numKeys:t.length,optionalKeys:new Set(n)}}function M2(e,t,n,o,i,l){const c=[],d=i.keySet,f=i.catchall._zod,m=f.def.type;for(const g of Object.keys(t)){if(d.has(g))continue;if(m==="never"){c.push(g);continue}const v=f.run({value:t[g],issues:[]},o);v instanceof Promise?e.push(v.then(x=>Ff(x,n,g,t))):Ff(v,n,g,t)}return c.length&&n.issues.push({code:"unrecognized_keys",keys:c,input:t,inst:l}),e.length?Promise.all(e).then(()=>n):n}const IB=ve("$ZodObject",(e,t)=>{kn.init(e,t);const n=iv(()=>O2(t));an(e._zod,"propValues",()=>{const c=t.shape,d={};for(const f in c){const m=c[f]._zod;if(m.values){d[f]??(d[f]=new Set);for(const g of m.values)d[f].add(g)}}return d});const o=Uf,i=t.catchall;let l;e._zod.parse=(c,d)=>{l??(l=n.value);const f=c.value;if(!o(f))return c.issues.push({expected:"object",code:"invalid_type",input:f,inst:e}),c;c.value={};const m=[],g=l.shape;for(const v of l.keys){const C=g[v]._zod.run({value:f[v],issues:[]},d);C instanceof Promise?m.push(C.then(w=>Ff(w,c,v,f))):Ff(C,c,v,f)}return i?M2(m,f,c,d,n.value,e):m.length?Promise.all(m).then(()=>c):c}}),LB=ve("$ZodObjectJIT",(e,t)=>{IB.init(e,t);const n=e._zod.parse,o=iv(()=>O2(t)),i=x=>{const C=new iB(["shape","payload","ctx"]),w=o.value,S=R=>{const A=hC(R);return`shape[${A}]._zod.run({ value: input[${A}], issues: [] }, ctx)`};C.write("const input = payload.value;");const T=Object.create(null);let k=0;for(const R of w.keys)T[R]=`key_${k++}`;C.write("const newResult = {};");for(const R of w.keys){const A=T[R],M=hC(R);C.write(`const ${A} = ${S(R)};`),C.write(`
+        if (${A}.issues.length) {
+          payload.issues = payload.issues.concat(${A}.issues.map(iss => ({
+            ...iss,
+            path: iss.path ? [${M}, ...iss.path] : [${M}]
+          })));
+        }
+        
+        
+        if (${A}.value === undefined) {
+          if (${M} in input) {
+            newResult[${M}] = undefined;
+          }
+        } else {
+          newResult[${M}] = ${A}.value;
+        }
+        
+      `)}C.write("payload.value = newResult;"),C.write("return payload;");const P=C.compile();return(R,A)=>P(x,R,A)};let l;const c=Uf,d=!m2.jitless,m=d&&QI.value,g=t.catchall;let v;e._zod.parse=(x,C)=>{v??(v=o.value);const w=x.value;return c(w)?d&&m&&C?.async===!1&&C.jitless!==!0?(l||(l=i(t.shape)),x=l(x,C),g?M2([],w,x,C,v,e):x):n(x,C):(x.issues.push({expected:"object",code:"invalid_type",input:w,inst:e}),x)}});function yC(e,t,n,o){for(const l of e)if(l.issues.length===0)return t.value=l.value,t;const i=e.filter(l=>!Zs(l));return i.length===1?(t.value=i[0].value,i[0]):(t.issues.push({code:"invalid_union",input:t.value,inst:n,errors:e.map(l=>l.issues.map(c=>ii(c,o,ai())))}),t)}const BB=ve("$ZodUnion",(e,t)=>{kn.init(e,t),an(e._zod,"optin",()=>t.options.some(i=>i._zod.optin==="optional")?"optional":void 0),an(e._zod,"optout",()=>t.options.some(i=>i._zod.optout==="optional")?"optional":void 0),an(e._zod,"values",()=>{if(t.options.every(i=>i._zod.values))return new Set(t.options.flatMap(i=>Array.from(i._zod.values)))}),an(e._zod,"pattern",()=>{if(t.options.every(i=>i._zod.pattern)){const i=t.options.map(l=>l._zod.pattern);return new RegExp(`^(${i.map(l=>lv(l.source)).join("|")})$`)}});const n=t.options.length===1,o=t.options[0]._zod.run;e._zod.parse=(i,l)=>{if(n)return o(i,l);let c=!1;const d=[];for(const f of t.options){const m=f._zod.run({value:i.value,issues:[]},l);if(m instanceof Promise)d.push(m),c=!0;else{if(m.issues.length===0)return m;d.push(m)}}return c?Promise.all(d).then(f=>yC(f,i,e,l)):yC(d,i,e,l)}}),UB=ve("$ZodIntersection",(e,t)=>{kn.init(e,t),e._zod.parse=(n,o)=>{const i=n.value,l=t.left._zod.run({value:i,issues:[]},o),c=t.right._zod.run({value:i,issues:[]},o);return l instanceof Promise||c instanceof Promise?Promise.all([l,c]).then(([f,m])=>vC(n,f,m)):vC(n,l,c)}});function oy(e,t){if(e===t)return{valid:!0,data:e};if(e instanceof Date&&t instanceof Date&&+e==+t)return{valid:!0,data:e};if(cl(e)&&cl(t)){const n=Object.keys(t),o=Object.keys(e).filter(l=>n.indexOf(l)!==-1),i={...e,...t};for(const l of o){const c=oy(e[l],t[l]);if(!c.valid)return{valid:!1,mergeErrorPath:[l,...c.mergeErrorPath]};i[l]=c.data}return{valid:!0,data:i}}if(Array.isArray(e)&&Array.isArray(t)){if(e.length!==t.length)return{valid:!1,mergeErrorPath:[]};const n=[];for(let o=0;o<e.length;o++){const i=e[o],l=t[o],c=oy(i,l);if(!c.valid)return{valid:!1,mergeErrorPath:[o,...c.mergeErrorPath]};n.push(c.data)}return{valid:!0,data:n}}return{valid:!1,mergeErrorPath:[]}}function vC(e,t,n){if(t.issues.length&&e.issues.push(...t.issues),n.issues.length&&e.issues.push(...n.issues),Zs(e))return e;const o=oy(t.value,n.value);if(!o.valid)throw new Error(`Unmergable intersection. 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Promise?i:Promise.resolve(i)).then(c=>(n.value=c,n));if(i instanceof Promise)throw new Js;return n.value=i,n}});function bC(e,t){return e.issues.length&&t===void 0?{issues:[],value:void 0}:e}const VB=ve("$ZodOptional",(e,t)=>{kn.init(e,t),e._zod.optin="optional",e._zod.optout="optional",an(e._zod,"values",()=>t.innerType._zod.values?new Set([...t.innerType._zod.values,void 0]):void 0),an(e._zod,"pattern",()=>{const n=t.innerType._zod.pattern;return n?new RegExp(`^(${lv(n.source)})?$`):void 0}),e._zod.parse=(n,o)=>{if(t.innerType._zod.optin==="optional"){const i=t.innerType._zod.run(n,o);return i instanceof Promise?i.then(l=>bC(l,n.value)):bC(i,n.value)}return n.value===void 0?n:t.innerType._zod.run(n,o)}}),GB=ve("$ZodNullable",(e,t)=>{kn.init(e,t),an(e._zod,"optin",()=>t.innerType._zod.optin),an(e._zod,"optout",()=>t.innerType._zod.optout),an(e._zod,"pattern",()=>{const n=t.innerType._zod.pattern;return n?new RegExp(`^(${lv(n.source)}|null)$`):void 0}),an(e._zod,"values",()=>t.innerType._zod.values?new Set([...t.innerType._zod.values,null]):void 0),e._zod.parse=(n,o)=>n.value===null?n:t.innerType._zod.run(n,o)}),WB=ve("$ZodDefault",(e,t)=>{kn.init(e,t),e._zod.optin="optional",an(e._zod,"values",()=>t.innerType._zod.values),e._zod.parse=(n,o)=>{if(o.direction==="backward")return t.innerType._zod.run(n,o);if(n.value===void 0)return n.value=t.defaultValue,n;const i=t.innerType._zod.run(n,o);return i instanceof Promise?i.then(l=>xC(l,t)):xC(i,t)}});function xC(e,t){return e.value===void 0&&(e.value=t.defaultValue),e}const ZB=ve("$ZodPrefault",(e,t)=>{kn.init(e,t),e._zod.optin="optional",an(e._zod,"values",()=>t.innerType._zod.values),e._zod.parse=(n,o)=>(o.direction==="backward"||n.value===void 0&&(n.value=t.defaultValue),t.innerType._zod.run(n,o))}),KB=ve("$ZodNonOptional",(e,t)=>{kn.init(e,t),an(e._zod,"values",()=>{const n=t.innerType._zod.values;return n?new Set([...n].filter(o=>o!==void 0)):void 0}),e._zod.parse=(n,o)=>{const i=t.innerType._zod.run(n,o);return i instanceof Promise?i.then(l=>SC(l,e)):SC(i,e)}});function SC(e,t){return!e.issues.length&&e.value===void 0&&e.issues.push({code:"invalid_type",expected:"nonoptional",input:e.value,inst:t}),e}const YB=ve("$ZodCatch",(e,t)=>{kn.init(e,t),an(e._zod,"optin",()=>t.innerType._zod.optin),an(e._zod,"optout",()=>t.innerType._zod.optout),an(e._zod,"values",()=>t.innerType._zod.values),e._zod.parse=(n,o)=>{if(o.direction==="backward")return t.innerType._zod.run(n,o);const i=t.innerType._zod.run(n,o);return i instanceof Promise?i.then(l=>(n.value=l.value,l.issues.length&&(n.value=t.catchValue({...n,error:{issues:l.issues.map(c=>ii(c,o,ai()))},input:n.value}),n.issues=[]),n)):(n.value=i.value,i.issues.length&&(n.value=t.catchValue({...n,error:{issues:i.issues.map(l=>ii(l,o,ai()))},input:n.value}),n.issues=[]),n)}}),XB=ve("$ZodPipe",(e,t)=>{kn.init(e,t),an(e._zod,"values",()=>t.in._zod.values),an(e._zod,"optin",()=>t.in._zod.optin),an(e._zod,"optout",()=>t.out._zod.optout),an(e._zod,"propValues",()=>t.in._zod.propValues),e._zod.parse=(n,o)=>{if(o.direction==="backward"){const l=t.out._zod.run(n,o);return l instanceof Promise?l.then(c=>Jd(c,t.in,o)):Jd(l,t.in,o)}const i=t.in._zod.run(n,o);return i instanceof Promise?i.then(l=>Jd(l,t.out,o)):Jd(i,t.out,o)}});function Jd(e,t,n){return e.issues.length?(e.aborted=!0,e):t._zod.run({value:e.value,issues:e.issues},n)}const 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tr({supports:uo(o.nullable()).length(6).default([null,null,null,null,null,null]),scenario:i.default(null),trainee:l.default(null),prefs:d.default({overrides:{},patterns:[],defaults:{support:1,trainee:1,scenario:1},rewardPriority:["skill_pts","stats","hints"]})})})().default({supports:[null,null,null,null,null,null],scenario:null,trainee:null,prefs:{overrides:{},patterns:[],defaults:{support:1,trainee:1,scenario:1},rewardPriority:["skill_pts","stats","hints"]}})}),lU=tr({presets:uo(B2),activePresetId:er().optional()}),$C=tr({version:Ft().int(),general:L2,scenarios:Pc(er(),lU).default({ura:{presets:[],activePresetId:void 0},unity_cup:{presets:[],activePresetId:void 0}})}),U2=L2.parse({}),nu=(e,t,n="ura")=>{const 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f=i.map(m=>NC(m,e.general,"ura"));o.ura={presets:f,activePresetId:(typeof l=="string"?l:void 0)??f[0]?.id},console.log("[MIGRATE] Migrated",f.length,"presets to scenarios.ura")}for(const f of Object.keys(o)){const m=o[f]??{presets:[],activePresetId:void 0},g=Array.isArray(m.presets)?m.presets.map(x=>NC(x,e.general,f)):[],v=m.activePresetId&&g.find(x=>x.id===m.activePresetId)?m.activePresetId:g[0]?.id;o[f]={presets:g,activePresetId:v}}const c=pv(e?.general?.activeScenario),d={version:e.version??1,general:{...U2,...e.general,activeScenario:c},scenarios:o};return console.log("[MIGRATE] Migration complete. 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c)Object.defineProperty(this,f,{get:()=>{const m=d(o),g=i[l]-m;return this.rect[f]+g},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class Uc{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var o;return(o=this.target)==null?void 0:o.removeEventListener(...n)})},this.target=t}add(t,n,o){var i;(i=this.target)==null||i.addEventListener(t,n,o),this.listeners.push([t,n,o])}}function K9(e){const{EventTarget:t}=$r(e);return e instanceof t?e:bl(e)}function hg(e,t){const n=Math.abs(e.x),o=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+o**2)>t:"x"in t&&"y"in t?n>t.x&&o>t.y:"x"in t?n>t.x:"y"in t?o>t.y:!1}var ho;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(ho||(ho={}));function sw(e){e.preventDefault()}function Y9(e){e.stopPropagation()}var Lt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter",e.Tab="Tab"})(Lt||(Lt={}));const TT={start:[Lt.Space,Lt.Enter],cancel:[Lt.Esc],end:[Lt.Space,Lt.Enter,Lt.Tab]},X9=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Lt.Right:return{...n,x:n.x+25};case Lt.Left:return{...n,x:n.x-25};case Lt.Down:return{...n,y:n.y+25};case Lt.Up:return{...n,y:n.y-25}}};class ET{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Uc(bl(n)),this.windowListeners=new Uc($r(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(ho.Resize,this.handleCancel),this.windowListeners.add(ho.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(ho.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,o=t.node.current;o&&W9(o),n(_o)}handleKeyDown(t){if(Sv(t)){const{active:n,context:o,options:i}=this.props,{keyboardCodes:l=TT,coordinateGetter:c=X9,scrollBehavior:d="smooth"}=i,{code:f}=t;if(l.end.includes(f)){this.handleEnd(t);return}if(l.cancel.includes(f)){this.handleCancel(t);return}const{collisionRect:m}=o.current,g=m?{x:m.left,y:m.top}:_o;this.referenceCoordinates||(this.referenceCoordinates=g);const v=c(t,{active:n,context:o.current,currentCoordinates:g});if(v){const x=Gf(v,g),C={x:0,y:0},{scrollableAncestors:w}=o.current;for(const S of w){const T=t.code,{isTop:k,isRight:P,isLeft:R,isBottom:A,maxScroll:M,minScroll:_}=wT(S),$=q9(S),z={x:Math.min(T===Lt.Right?$.right-$.width/2:$.right,Math.max(T===Lt.Right?$.left:$.left+$.width/2,v.x)),y:Math.min(T===Lt.Down?$.bottom-$.height/2:$.bottom,Math.max(T===Lt.Down?$.top:$.top+$.height/2,v.y))},B=T===Lt.Right&&!P||T===Lt.Left&&!R,U=T===Lt.Down&&!A||T===Lt.Up&&!k;if(B&&z.x!==v.x){const q=S.scrollLeft+x.x,E=T===Lt.Right&&q<=M.x||T===Lt.Left&&q>=_.x;if(E&&!x.y){S.scrollTo({left:q,behavior:d});return}E?C.x=S.scrollLeft-q:C.x=T===Lt.Right?S.scrollLeft-M.x:S.scrollLeft-_.x,C.x&&S.scrollBy({left:-C.x,behavior:d});break}else if(U&&z.y!==v.y){const q=S.scrollTop+x.y,E=T===Lt.Down&&q<=M.y||T===Lt.Up&&q>=_.y;if(E&&!x.x){S.scrollTo({top:q,behavior:d});return}E?C.y=S.scrollTop-q:C.y=T===Lt.Down?S.scrollTop-M.y:S.scrollTop-_.y,C.y&&S.scrollBy({top:-C.y,behavior:d});break}}this.handleMove(t,el(Gf(v,this.referenceCoordinates),C))}}}handleMove(t,n){const{onMove:o}=this.props;t.preventDefault(),o(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}ET.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:o=TT,onActivation:i}=t,{active:l}=n;const{code:c}=e.nativeEvent;if(o.start.includes(c)){const d=l.activatorNode.current;return d&&e.target!==d?!1:(e.preventDefault(),i?.({event:e.nativeEvent}),!0)}return!1}}];function lw(e){return!!(e&&"distance"in e)}function cw(e){return!!(e&&"delay"in e)}class Rv{constructor(t,n,o){var i;o===void 0&&(o=K9(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:l}=t,{target:c}=l;this.props=t,this.events=n,this.document=bl(c),this.documentListeners=new Uc(this.document),this.listeners=new Uc(o),this.windowListeners=new Uc($r(c)),this.initialCoordinates=(i=hy(l))!=null?i:_o,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n,bypassActivationConstraint:o}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),t.cancel&&this.listeners.add(t.cancel.name,this.handleCancel),this.windowListeners.add(ho.Resize,this.handleCancel),this.windowListeners.add(ho.DragStart,sw),this.windowListeners.add(ho.VisibilityChange,this.handleCancel),this.windowListeners.add(ho.ContextMenu,sw),this.documentListeners.add(ho.Keydown,this.handleKeydown),n){if(o!=null&&o({event:this.props.event,activeNode:this.props.activeNode,options:this.props.options}))return this.handleStart();if(cw(n)){this.timeoutId=setTimeout(this.handleStart,n.delay),this.handlePending(n);return}if(lw(n)){this.handlePending(n);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handlePending(t,n){const{active:o,onPending:i}=this.props;i(o,t,this.initialCoordinates,n)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(ho.Click,Y9,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(ho.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:o,initialCoordinates:i,props:l}=this,{onMove:c,options:{activationConstraint:d}}=l;if(!i)return;const f=(n=hy(t))!=null?n:_o,m=Gf(i,f);if(!o&&d){if(lw(d)){if(d.tolerance!=null&&hg(m,d.tolerance))return this.handleCancel();if(hg(m,d.distance))return this.handleStart()}if(cw(d)&&hg(m,d.tolerance))return this.handleCancel();this.handlePending(d,m);return}t.cancelable&&t.preventDefault(),c(f)}handleEnd(){const{onAbort:t,onEnd:n}=this.props;this.detach(),this.activated||t(this.props.active),n()}handleCancel(){const{onAbort:t,onCancel:n}=this.props;this.detach(),this.activated||t(this.props.active),n()}handleKeydown(t){t.code===Lt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const Q9={cancel:{name:"pointercancel"},move:{name:"pointermove"},end:{name:"pointerup"}};class Tv extends Rv{constructor(t){const{event:n}=t,o=bl(n.target);super(t,Q9,o)}}Tv.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:o}=t;return!n.isPrimary||n.button!==0?!1:(o?.({event:n}),!0)}}];const J9={move:{name:"mousemove"},end:{name:"mouseup"}};var gy;(function(e){e[e.RightClick=2]="RightClick"})(gy||(gy={}));class eF extends Rv{constructor(t){super(t,J9,bl(t.event.target))}}eF.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:o}=t;return n.button===gy.RightClick?!1:(o?.({event:n}),!0)}}];const mg={cancel:{name:"touchcancel"},move:{name:"touchmove"},end:{name:"touchend"}};class tF extends Rv{constructor(t){super(t,mg)}static setup(){return window.addEventListener(mg.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(mg.move.name,t)};function t(){}}}tF.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:o}=t;const{touches:i}=n;return i.length>1?!1:(o?.({event:n}),!0)}}];var Fc;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Fc||(Fc={}));var Zf;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(Zf||(Zf={}));function nF(e){let{acceleration:t,activator:n=Fc.Pointer,canScroll:o,draggingRect:i,enabled:l,interval:c=5,order:d=Zf.TreeOrder,pointerCoordinates:f,scrollableAncestors:m,scrollableAncestorRects:g,delta:v,threshold:x}=e;const C=oF({delta:v,disabled:!l}),[w,S]=h9(),T=b.useRef({x:0,y:0}),k=b.useRef({x:0,y:0}),P=b.useMemo(()=>{switch(n){case Fc.Pointer:return f?{top:f.y,bottom:f.y,left:f.x,right:f.x}:null;case Fc.DraggableRect:return i}},[n,i,f]),R=b.useRef(null),A=b.useCallback(()=>{const _=R.current;if(!_)return;const $=T.current.x*k.current.x,z=T.current.y*k.current.y;_.scrollBy($,z)},[]),M=b.useMemo(()=>d===Zf.TreeOrder?[...m].reverse():m,[d,m]);b.useEffect(()=>{if(!l||!m.length||!P){S();return}for(const _ of M){if(o?.(_)===!1)continue;const $=m.indexOf(_),z=g[$];if(!z)continue;const{direction:B,speed:U}=H9(_,z,P,t,x);for(const q of["x","y"])C[q][B[q]]||(U[q]=0,B[q]=0);if(U.x>0||U.y>0){S(),R.current=_,w(A,c),T.current=U,k.current=B;return}}T.current={x:0,y:0},k.current={x:0,y:0},S()},[t,A,o,S,l,c,JSON.stringify(P),JSON.stringify(C),w,m,M,g,JSON.stringify(x)])}const rF={x:{[nr.Backward]:!1,[nr.Forward]:!1},y:{[nr.Backward]:!1,[nr.Forward]:!1}};function oF(e){let{delta:t,disabled:n}=e;const o=py(t);return Ru(i=>{if(n||!o||!i)return rF;const l={x:Math.sign(t.x-o.x),y:Math.sign(t.y-o.y)};return{x:{[nr.Backward]:i.x[nr.Backward]||l.x===-1,[nr.Forward]:i.x[nr.Forward]||l.x===1},y:{[nr.Backward]:i.y[nr.Backward]||l.y===-1,[nr.Forward]:i.y[nr.Forward]||l.y===1}}},[n,t,o])}function aF(e,t){const n=t!=null?e.get(t):void 0,o=n?n.node.current:null;return Ru(i=>{var l;return t==null?null:(l=o??i)!=null?l:null},[o,t])}function iF(e,t){return b.useMemo(()=>e.reduce((n,o)=>{const{sensor:i}=o,l=i.activators.map(c=>({eventName:c.eventName,handler:t(c.handler,o)}));return[...n,...l]},[]),[e,t])}var au;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(au||(au={}));var yy;(function(e){e.Optimized="optimized"})(yy||(yy={}));const uw=new Map;function sF(e,t){let{dragging:n,dependencies:o,config:i}=t;const[l,c]=b.useState(null),{frequency:d,measure:f,strategy:m}=i,g=b.useRef(e),v=T(),x=ru(v),C=b.useCallback(function(k){k===void 0&&(k=[]),!x.current&&c(P=>P===null?k:P.concat(k.filter(R=>!P.includes(R))))},[x]),w=b.useRef(null),S=Ru(k=>{if(v&&!n)return uw;if(!k||k===uw||g.current!==e||l!=null){const P=new Map;for(let R of e){if(!R)continue;if(l&&l.length>0&&!l.includes(R.id)&&R.rect.current){P.set(R.id,R.rect.current);continue}const A=R.node.current,M=A?new wv(f(A),A):null;R.rect.current=M,M&&P.set(R.id,M)}return P}return k},[e,l,n,v,f]);return b.useEffect(()=>{g.current=e},[e]),b.useEffect(()=>{v||C()},[n,v]),b.useEffect(()=>{l&&l.length>0&&c(null)},[JSON.stringify(l)]),b.useEffect(()=>{v||typeof d!="number"||w.current!==null||(w.current=setTimeout(()=>{C(),w.current=null},d))},[d,v,C,...o]),{droppableRects:S,measureDroppableContainers:C,measuringScheduled:l!=null};function T(){switch(m){case au.Always:return!1;case au.BeforeDragging:return n;default:return!n}}}function AT(e,t){return Ru(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function lF(e,t){return AT(e,t)}function cF(e){let{callback:t,disabled:n}=e;const o=xv(t),i=b.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:l}=window;return new l(o)},[o,n]);return b.useEffect(()=>()=>i?.disconnect(),[i]),i}function jp(e){let{callback:t,disabled:n}=e;const o=xv(t),i=b.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:l}=window;return new l(o)},[n]);return b.useEffect(()=>()=>i?.disconnect(),[i]),i}function uF(e){return new wv(xl(e),e)}function dw(e,t,n){t===void 0&&(t=uF);const[o,i]=b.useState(null);function l(){i(f=>{if(!e)return null;if(e.isConnected===!1){var m;return(m=f??n)!=null?m:null}const g=t(e);return JSON.stringify(f)===JSON.stringify(g)?f:g})}const c=cF({callback(f){if(e)for(const m of f){const{type:g,target:v}=m;if(g==="childList"&&v instanceof HTMLElement&&v.contains(e)){l();break}}}}),d=jp({callback:l});return Jo(()=>{l(),e?(d?.observe(e),c?.observe(document.body,{childList:!0,subtree:!0})):(d?.disconnect(),c?.disconnect())},[e]),o}function dF(e){const t=AT(e);return vT(e,t)}const fw=[];function fF(e){const t=b.useRef(e),n=Ru(o=>e?o&&o!==fw&&e&&t.current&&e.parentNode===t.current.parentNode?o:Cv(e):fw,[e]);return b.useEffect(()=>{t.current=e},[e]),n}function pF(e){const[t,n]=b.useState(null),o=b.useRef(e),i=b.useCallback(l=>{const c=pg(l.target);c&&n(d=>d?(d.set(c,my(c)),new Map(d)):null)},[]);return b.useEffect(()=>{const l=o.current;if(e!==l){c(l);const d=e.map(f=>{const m=pg(f);return m?(m.addEventListener("scroll",i,{passive:!0}),[m,my(m)]):null}).filter(f=>f!=null);n(d.length?new Map(d):null),o.current=e}return()=>{c(e),c(l)};function c(d){d.forEach(f=>{const m=pg(f);m?.removeEventListener("scroll",i)})}},[i,e]),b.useMemo(()=>e.length?t?Array.from(t.values()).reduce((l,c)=>el(l,c),_o):RT(e):_o,[e,t])}function pw(e,t){t===void 0&&(t=[]);const n=b.useRef(null);return b.useEffect(()=>{n.current=null},t),b.useEffect(()=>{const o=e!==_o;o&&!n.current&&(n.current=e),!o&&n.current&&(n.current=null)},[e]),n.current?Gf(e,n.current):_o}function hF(e){b.useEffect(()=>{if(!Pp)return;const t=e.map(n=>{let{sensor:o}=n;return o.setup==null?void 0:o.setup()});return()=>{for(const n of t)n?.()}},e.map(t=>{let{sensor:n}=t;return n}))}function mF(e,t){return b.useMemo(()=>e.reduce((n,o)=>{let{eventName:i,handler:l}=o;return n[i]=c=>{l(c,t)},n},{}),[e,t])}function kT(e){return b.useMemo(()=>e?L9(e):null,[e])}const hw=[];function gF(e,t){t===void 0&&(t=xl);const[n]=e,o=kT(n?$r(n):null),[i,l]=b.useState(hw);function c(){l(()=>e.length?e.map(f=>CT(f)?o:new wv(t(f),f)):hw)}const d=jp({callback:c});return Jo(()=>{d?.disconnect(),c(),e.forEach(f=>d?.observe(f))},[e]),i}function yF(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return wu(t)?t:e}function vF(e){let{measure:t}=e;const[n,o]=b.useState(null),i=b.useCallback(m=>{for(const{target:g}of m)if(wu(g)){o(v=>{const x=t(g);return v?{...v,width:x.width,height:x.height}:x});break}},[t]),l=jp({callback:i}),c=b.useCallback(m=>{const g=yF(m);l?.disconnect(),g&&l?.observe(g),o(g?t(g):null)},[t,l]),[d,f]=Vf(c);return b.useMemo(()=>({nodeRef:d,rect:n,setRef:f}),[n,d,f])}const bF=[{sensor:Tv,options:{}},{sensor:ET,options:{}}],xF={current:{}},Rf={draggable:{measure:iw},droppable:{measure:iw,strategy:au.WhileDragging,frequency:yy.Optimized},dragOverlay:{measure:xl}};class Hc extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,o;return(n=(o=this.get(t))==null?void 0:o.node.current)!=null?n:void 0}}const SF={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Hc,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:Wf},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Rf,measureDroppableContainers:Wf,windowRect:null,measuringScheduled:!1},CF={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:Wf,draggableNodes:new Map,over:null,measureDroppableContainers:Wf},_p=b.createContext(CF),OT=b.createContext(SF);function wF(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Hc}}}function RF(e,t){switch(t.type){case Zn.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Zn.DragMove:return e.draggable.active==null?e:{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}};case Zn.DragEnd:case Zn.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Zn.RegisterDroppable:{const{element:n}=t,{id:o}=n,i=new Hc(e.droppable.containers);return i.set(o,n),{...e,droppable:{...e.droppable,containers:i}}}case Zn.SetDroppableDisabled:{const{id:n,key:o,disabled:i}=t,l=e.droppable.containers.get(n);if(!l||o!==l.key)return e;const c=new Hc(e.droppable.containers);return c.set(n,{...l,disabled:i}),{...e,droppable:{...e.droppable,containers:c}}}case Zn.UnregisterDroppable:{const{id:n,key:o}=t,i=e.droppable.containers.get(n);if(!i||o!==i.key)return e;const l=new Hc(e.droppable.containers);return 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r===null&&$t&&((p=u=Sn)&&(u=yA(u,i.type,i.pendingProps,$o),u!==null?(i.stateNode=u,Sr=i,Sn=Ao(u.firstChild),$o=!1,p=!0):p=!1),p||xa(i)),ye(i),p=i.type,y=i.pendingProps,k=r!==null?r.memoizedProps:null,u=y.children,Rm(p,y)?u=null:k!==null&&Rm(p,k)&&(i.flags|=32),i.memoizedState!==null&&(p=Ch(r,i,$E,null,null,s),cc._currentValue=p),sd(r,i),or(r,i,u,s),i.child;case 6:return r===null&&$t&&((r=s=Sn)&&(s=vA(s,i.pendingProps,$o),s!==null?(i.stateNode=s,Sr=i,Sn=null,r=!0):r=!1),r||xa(i)),null;case 13:return L0(r,i,s);case 4:return Te(i,i.stateNode.containerInfo),u=i.pendingProps,r===null?i.child=Cs(i,null,u,s):or(r,i,u,s),i.child;case 11:return P0(r,i,i.type,i.pendingProps,s);case 7:return or(r,i,i.pendingProps,s),i.child;case 8:return or(r,i,i.pendingProps.children,s),i.child;case 12:return or(r,i,i.pendingProps.children,s),i.child;case 10:return u=i.pendingProps,Ei(i,i.type,u.value),or(r,i,u.children,s),i.child;case 9:return p=i.type._context,u=i.pendingProps.children,wa(i),p=ur(p),u=u(p),i.flags|=1,or(r,i,u,s),i.child;case 14:return j0(r,i,i.type,i.pendingProps,s);case 15:return _0(r,i,i.type,i.pendingProps,s);case 19:return U0(r,i,s);case 31:return u=i.pendingProps,s=i.mode,u={mode:u.mode,children:u.children},r===null?(s=ld(u,s),s.ref=i.ref,i.child=s,s.return=i,i=s):(s=oi(r.child,u),s.ref=i.ref,i.child=s,s.return=i,i=s),i;case 22:return z0(r,i,s);case 24:return wa(i),u=ur(qn),r===null?(p=hh(),p===null&&(p=nn,y=fh(),p.pooledCache=y,y.refCount++,y!==null&&(p.pooledCacheLanes|=s),p=y),i.memoizedState={parent:u,cache:p},gh(i),Ei(i,qn,p)):((r.lanes&s)!==0&&(yh(r,i),Ul(i,null,null,s),Bl()),p=r.memoizedState,y=i.memoizedState,p.parent!==u?(p={parent:u,cache:u},i.memoizedState=p,i.lanes===0&&(i.memoizedState=i.updateQueue.baseState=p),Ei(i,qn,u)):(u=y.cache,Ei(i,qn,u),u!==p.cache&&dh(i,[qn],s,!0))),or(r,i,i.pendingProps.children,s),i.child;case 29:throw i.pendingProps}throw Error(o(156,i.tag))}function fi(r){r.flags|=4}function H0(r,i){if(i.type!=="stylesheet"||(i.state.loading&4)!==0)r.flags&=-16777217;else if(r.flags|=16777216,!Xx(i)){if(i=io.current,i!==null&&((jt&4194048)===jt?Do!==null:(jt&62914560)!==jt&&(jt&536870912)===0||i!==Do))throw Il=mh,Eb;r.flags|=8192}}function cd(r,i){i!==null&&(r.flags|=4),r.flags&16384&&(i=r.tag!==22?Yn():536870912,r.lanes|=i,As|=i)}function Zl(r,i){if(!$t)switch(r.tailMode){case"hidden":i=r.tail;for(var s=null;i!==null;)i.alternate!==null&&(s=i),i=i.sibling;s===null?r.tail=null:s.sibling=null;break;case"collapsed":s=r.tail;for(var u=null;s!==null;)s.alternate!==null&&(u=s),s=s.sibling;u===null?i||r.tail===null?r.tail=null:r.tail.sibling=null:u.sibling=null}}function gn(r){var i=r.alternate!==null&&r.alternate.child===r.child,s=0,u=0;if(i)for(var p=r.child;p!==null;)s|=p.lanes|p.childLanes,u|=p.subtreeFlags&65011712,u|=p.flags&65011712,p.return=r,p=p.sibling;else 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this.getObserversCount()>0?this.observers.some(e=>e.getCurrentResult().isStale):this.state.data===void 0||this.state.isInvalidated}isStaleByTime(e=0){return this.state.data===void 0?!0:e==="static"?!1:this.state.isInvalidated?!0:!i2(this.state.dataUpdatedAt,e)}onFocus(){this.observers.find(t=>t.shouldFetchOnWindowFocus())?.refetch({cancelRefetch:!1}),this.#r?.continue()}onOnline(){this.observers.find(t=>t.shouldFetchOnReconnect())?.refetch({cancelRefetch:!1}),this.#r?.continue()}addObserver(e){this.observers.includes(e)||(this.observers.push(e),this.clearGcTimeout(),this.#n.notify({type:"observerAdded",query:this,observer:e}))}removeObserver(e){this.observers.includes(e)&&(this.observers=this.observers.filter(t=>t!==e),this.observers.length||(this.#r&&(this.#a?this.#r.cancel({revert:!0}):this.#r.cancelRetry()),this.scheduleGc()),this.#n.notify({type:"observerRemoved",query:this,observer:e}))}getObserversCount(){return this.observers.length}invalidate(){this.state.isInvalidated||this.#i({type:"invalidate"})}async fetch(e,t){if(this.state.fetchStatus!=="idle"&&this.#r?.status()!=="rejected"){if(this.state.data!==void 0&&t?.cancelRefetch)this.cancel({silent:!0});else if(this.#r)return this.#r.continueRetry(),this.#r.promise}if(e&&this.setOptions(e),!this.options.queryFn){const d=this.observers.find(f=>f.options.queryFn);d&&this.setOptions(d.options)}const n=new AbortController,o=d=>{Object.defineProperty(d,"signal",{enumerable:!0,get:()=>(this.#a=!0,n.signal)})},a=()=>{const d=s2(this.options,t),m=(()=>{const g={client:this.#o,queryKey:this.queryKey,meta:this.meta};return o(g),g})();return this.#a=!1,this.options.persister?this.options.persister(d,m,this):d(m)},c=(()=>{const d={fetchOptions:t,options:this.options,queryKey:this.queryKey,client:this.#o,state:this.state,fetchFn:a};return o(d),d})();this.options.behavior?.onFetch(c,this),this.#t=this.state,(this.state.fetchStatus==="idle"||this.state.fetchMeta!==c.fetchOptions?.meta)&&this.#i({type:"fetch",meta:c.fetchOptions?.meta}),this.#r=c2({initialPromise:t?.initialPromise,fn:c.fetchFn,onCancel:d=>{d instanceof ty&&d.revert&&this.setState({...this.#t,fetchStatus:"idle"}),n.abort()},onFail:(d,f)=>{this.#i({type:"failed",failureCount:d,error:f})},onPause:()=>{this.#i({type:"pause"})},onContinue:()=>{this.#i({type:"continue"})},retry:c.options.retry,retryDelay:c.options.retryDelay,networkMode:c.options.networkMode,canRun:()=>!0});try{const d=await this.#r.start();if(d===void 0)throw new Error(`${this.queryHash} data is undefined`);return this.setData(d),this.#n.config.onSuccess?.(d,this),this.#n.config.onSettled?.(d,this.state.error,this),d}catch(d){if(d instanceof ty){if(d.silent)return this.#r.promise;if(d.revert){if(this.state.data===void 0)throw d;return this.state.data}}throw this.#i({type:"error",error:d}),this.#n.config.onError?.(d,this),this.#n.config.onSettled?.(this.state.data,d,this),d}finally{this.scheduleGc()}}#i(e){const t=n=>{switch(e.type){case"failed":return{...n,fetchFailureCount:e.failureCount,fetchFailureReason:e.error};case"pause":return{...n,fetchStatus:"paused"};case"continue":return{...n,fetchStatus:"fetching"};case"fetch":return{...n,...d2(n.data,this.options),fetchMeta:e.meta??null};case"success":const o={...n,data:e.data,dataUpdateCount:n.dataUpdateCount+1,dataUpdatedAt:e.dataUpdatedAt??Date.now(),error:null,isInvalidated:!1,status:"success",...!e.manual&&{fetchStatus:"idle",fetchFailureCount:0,fetchFailureReason:null}};return this.#t=e.manual?o:void 0,o;case"error":const a=e.error;return{...n,error:a,errorUpdateCount:n.errorUpdateCount+1,errorUpdatedAt:Date.now(),fetchFailureCount:n.fetchFailureCount+1,fetchFailureReason:a,fetchStatus:"idle",status:"error"};case"invalidate":return{...n,isInvalidated:!0};case"setState":return{...n,...e.state}}};this.state=t(this.state),lr.batch(()=>{this.observers.forEach(n=>{n.onQueryUpdate()}),this.#n.notify({query:this,type:"updated",action:e})})}};function d2(e,t){return{fetchFailureCount:0,fetchFailureReason:null,fetchStatus:l2(t.networkMode)?"fetching":"paused",...e===void 0&&{error:null,status:"pending"}}}function iw(e){const t=typeof e.initialData=="function"?e.initialData():e.initialData,n=t!==void 0,o=n?typeof e.initialDataUpdatedAt=="function"?e.initialDataUpdatedAt():e.initialDataUpdatedAt:0;return{data:t,dataUpdateCount:0,dataUpdatedAt:n?o??Date.now():0,error:null,errorUpdateCount:0,errorUpdatedAt:0,fetchFailureCount:0,fetchFailureReason:null,fetchMeta:null,isInvalidated:!1,status:n?"success":"pending",fetchStatus:"idle"}}var xI=class extends yu{constructor(e,t){super(),this.options=t,this.#e=e,this.#i=null,this.#a=ey(),this.bindMethods(),this.setOptions(t)}#e;#t=void 0;#n=void 0;#o=void 0;#r;#s;#a;#i;#m;#f;#p;#c;#u;#l;#h=new Set;bindMethods(){this.refetch=this.refetch.bind(this)}onSubscribe(){this.listeners.size===1&&(this.#t.addObserver(this),aw(this.#t,this.options)?this.#d():this.updateResult(),this.#b())}onUnsubscribe(){this.hasListeners()||this.destroy()}shouldFetchOnReconnect(){return ny(this.#t,this.options,this.options.refetchOnReconnect)}shouldFetchOnWindowFocus(){return ny(this.#t,this.options,this.options.refetchOnWindowFocus)}destroy(){this.listeners=new Set,this.#x(),this.#S(),this.#t.removeObserver(this)}setOptions(e){const t=this.options,n=this.#t;if(this.options=this.#e.defaultQueryOptions(e),this.options.enabled!==void 0&&typeof this.options.enabled!="boolean"&&typeof this.options.enabled!="function"&&typeof po(this.options.enabled,this.#t)!="boolean")throw new Error("Expected enabled to be a boolean or a callback that returns a boolean");this.#w(),this.#t.setOptions(this.options),t._defaulted&&!Xg(this.options,t)&&this.#e.getQueryCache().notify({type:"observerOptionsUpdated",query:this.#t,observer:this});const o=this.hasListeners();o&&sw(this.#t,n,this.options,t)&&this.#d(),this.updateResult(),o&&(this.#t!==n||po(this.options.enabled,this.#t)!==po(t.enabled,this.#t)||ta(this.options.staleTime,this.#t)!==ta(t.staleTime,this.#t))&&this.#g();const a=this.#y();o&&(this.#t!==n||po(this.options.enabled,this.#t)!==po(t.enabled,this.#t)||a!==this.#l)&&this.#v(a)}getOptimisticResult(e){const t=this.#e.getQueryCache().build(this.#e,e),n=this.createResult(t,e);return wI(this,n)&&(this.#o=n,this.#s=this.options,this.#r=this.#t.state),n}getCurrentResult(){return this.#o}trackResult(e,t){return new Proxy(e,{get:(n,o)=>(this.trackProp(o),t?.(o),o==="promise"&&!this.options.experimental_prefetchInRender&&this.#a.status==="pending"&&this.#a.reject(new Error("experimental_prefetchInRender feature flag is not enabled")),Reflect.get(n,o))})}trackProp(e){this.#h.add(e)}getCurrentQuery(){return this.#t}refetch({...e}={}){return this.fetch({...e})}fetchOptimistic(e){const t=this.#e.defaultQueryOptions(e),n=this.#e.getQueryCache().build(this.#e,t);return n.fetch().then(()=>this.createResult(n,t))}fetch(e){return this.#d({...e,cancelRefetch:e.cancelRefetch??!0}).then(()=>(this.updateResult(),this.#o))}#d(e){this.#w();let t=this.#t.fetch(this.options,e);return e?.throwOnError||(t=t.catch(kr)),t}#g(){this.#x();const e=ta(this.options.staleTime,this.#t);if(Za||this.#o.isStale||!Yg(e))return;const n=i2(this.#o.dataUpdatedAt,e)+1;this.#c=Na.setTimeout(()=>{this.#o.isStale||this.updateResult()},n)}#y(){return(typeof this.options.refetchInterval=="function"?this.options.refetchInterval(this.#t):this.options.refetchInterval)??!1}#v(e){this.#S(),this.#l=e,!(Za||po(this.options.enabled,this.#t)===!1||!Yg(this.#l)||this.#l===0)&&(this.#u=Na.setInterval(()=>{(this.options.refetchIntervalInBackground||nv.isFocused())&&this.#d()},this.#l))}#b(){this.#g(),this.#v(this.#y())}#x(){this.#c&&(Na.clearTimeout(this.#c),this.#c=void 0)}#S(){this.#u&&(Na.clearInterval(this.#u),this.#u=void 0)}createResult(e,t){const n=this.#t,o=this.options,a=this.#o,l=this.#r,c=this.#s,f=e!==n?e.state:this.#n,{state:m}=e;let g={...m},v=!1,b;if(t._optimisticResults){const j=this.hasListeners(),I=!j&&aw(e,t),L=j&&sw(e,n,t,o);(I||L)&&(g={...g,...d2(m.data,e.options)}),t._optimisticResults==="isRestoring"&&(g.fetchStatus="idle")}let{error:w,errorUpdatedAt:C,status:S}=g;b=g.data;let T=!1;if(t.placeholderData!==void 0&&b===void 0&&S==="pending"){let j;a?.isPlaceholderData&&t.placeholderData===c?.placeholderData?(j=a.data,T=!0):j=typeof t.placeholderData=="function"?t.placeholderData(this.#p?.state.data,this.#p):t.placeholderData,j!==void 0&&(S="success",b=Jg(a?.data,j,t),v=!0)}if(t.select&&b!==void 0&&!T)if(a&&b===l?.data&&t.select===this.#m)b=this.#f;else try{this.#m=t.select,b=t.select(b),b=Jg(a?.data,b,t),this.#f=b,this.#i=null}catch(j){this.#i=j}this.#i&&(w=this.#i,b=this.#f,C=Date.now(),S="error");const O=g.fetchStatus==="fetching",P=S==="pending",R=S==="error",A=P&&O,M=b!==void 0,_={status:S,fetchStatus:g.fetchStatus,isPending:P,isSuccess:S==="success",isError:R,isInitialLoading:A,isLoading:A,data:b,dataUpdatedAt:g.dataUpdatedAt,error:w,errorUpdatedAt:C,failureCount:g.fetchFailureCount,failureReason:g.fetchFailureReason,errorUpdateCount:g.errorUpdateCount,isFetched:g.dataUpdateCount>0||g.errorUpdateCount>0,isFetchedAfterMount:g.dataUpdateCount>f.dataUpdateCount||g.errorUpdateCount>f.errorUpdateCount,isFetching:O,isRefetching:O&&!P,isLoadingError:R&&!M,isPaused:g.fetchStatus==="paused",isPlaceholderData:v,isRefetchError:R&&M,isStale:rv(e,t),refetch:this.refetch,promise:this.#a,isEnabled:po(t.enabled,e)!==!1};if(this.options.experimental_prefetchInRender){const j=F=>{_.status==="error"?F.reject(_.error):_.data!==void 0&&F.resolve(_.data)},I=()=>{const F=this.#a=_.promise=ey();j(F)},L=this.#a;switch(L.status){case"pending":e.queryHash===n.queryHash&&j(L);break;case"fulfilled":(_.status==="error"||_.data!==L.value)&&I();break;case"rejected":(_.status!=="error"||_.error!==L.reason)&&I();break}}return _}updateResult(){const e=this.#o,t=this.createResult(this.#t,this.options);if(this.#r=this.#t.state,this.#s=this.options,this.#r.data!==void 0&&(this.#p=this.#t),Xg(t,e))return;this.#o=t;const n=()=>{if(!e)return!0;const{notifyOnChangeProps:o}=this.options,a=typeof o=="function"?o():o;if(a==="all"||!a&&!this.#h.size)return!0;const l=new Set(a??this.#h);return this.options.throwOnError&&l.add("error"),Object.keys(this.#o).some(c=>{const d=c;return this.#o[d]!==e[d]&&l.has(d)})};this.#C({listeners:n()})}#w(){const e=this.#e.getQueryCache().build(this.#e,this.options);if(e===this.#t)return;const t=this.#t;this.#t=e,this.#n=e.state,this.hasListeners()&&(t?.removeObserver(this),e.addObserver(this))}onQueryUpdate(){this.updateResult(),this.hasListeners()&&this.#b()}#C(e){lr.batch(()=>{e.listeners&&this.listeners.forEach(t=>{t(this.#o)}),this.#e.getQueryCache().notify({query:this.#t,type:"observerResultsUpdated"})})}};function SI(e,t){return po(t.enabled,e)!==!1&&e.state.data===void 0&&!(e.state.status==="error"&&t.retryOnMount===!1)}function aw(e,t){return SI(e,t)||e.state.data!==void 0&&ny(e,t,t.refetchOnMount)}function ny(e,t,n){if(po(t.enabled,e)!==!1&&ta(t.staleTime,e)!=="static"){const o=typeof n=="function"?n(e):n;return o==="always"||o!==!1&&rv(e,t)}return!1}function sw(e,t,n,o){return(e!==t||po(o.enabled,e)===!1)&&(!n.suspense||e.state.status!=="error")&&rv(e,n)}function rv(e,t){return po(t.enabled,e)!==!1&&e.isStaleByTime(ta(t.staleTime,e))}function wI(e,t){return!Xg(e.getCurrentResult(),t)}function lw(e){return{onFetch:(t,n)=>{const o=t.options,a=t.fetchOptions?.meta?.fetchMore?.direction,l=t.state.data?.pages||[],c=t.state.data?.pageParams||[];let d={pages:[],pageParams:[]},f=0;const m=async()=>{let g=!1;const v=C=>{Object.defineProperty(C,"signal",{enumerable:!0,get:()=>(t.signal.aborted?g=!0:t.signal.addEventListener("abort",()=>{g=!0}),t.signal)})},b=s2(t.options,t.fetchOptions),w=async(C,S,T)=>{if(g)return Promise.reject();if(S==null&&C.pages.length)return Promise.resolve(C);const P=(()=>{const $={client:t.client,queryKey:t.queryKey,pageParam:S,direction:T?"backward":"forward",meta:t.options.meta};return v($),$})(),R=await b(P),{maxPages:A}=t.options,M=T?fI:dI;return{pages:M(C.pages,R,A),pageParams:M(C.pageParams,S,A)}};if(a&&l.length){const C=a==="backward",S=C?CI:cw,T={pages:l,pageParams:c},O=S(o,T);d=await w(T,O,C)}else{const C=e??l.length;do{const S=f===0?c[0]??o.initialPageParam:cw(o,d);if(f>0&&S==null)break;d=await w(d,S),f++}while(f<C)}return d};t.options.persister?t.fetchFn=()=>t.options.persister?.(m,{client:t.client,queryKey:t.queryKey,meta:t.options.meta,signal:t.signal},n):t.fetchFn=m}}}function cw(e,{pages:t,pageParams:n}){const o=t.length-1;return t.length>0?e.getNextPageParam(t[o],t,n[o],n):void 0}function CI(e,{pages:t,pageParams:n}){return t.length>0?e.getPreviousPageParam?.(t[0],t,n[0],n):void 0}var RI=class extends u2{#e;#t;#n;#o;constructor(e){super(),this.#e=e.client,this.mutationId=e.mutationId,this.#n=e.mutationCache,this.#t=[],this.state=e.state||TI(),this.setOptions(e.options),this.scheduleGc()}setOptions(e){this.options=e,this.updateGcTime(this.options.gcTime)}get meta(){return this.options.meta}addObserver(e){this.#t.includes(e)||(this.#t.push(e),this.clearGcTimeout(),this.#n.notify({type:"observerAdded",mutation:this,observer:e}))}removeObserver(e){this.#t=this.#t.filter(t=>t!==e),this.scheduleGc(),this.#n.notify({type:"observerRemoved",mutation:this,observer:e})}optionalRemove(){this.#t.length||(this.state.status==="pending"?this.scheduleGc():this.#n.remove(this))}continue(){return this.#o?.continue()??this.execute(this.state.variables)}async execute(e){const t=()=>{this.#r({type:"continue"})},n={client:this.#e,meta:this.options.meta,mutationKey:this.options.mutationKey};this.#o=c2({fn:()=>this.options.mutationFn?this.options.mutationFn(e,n):Promise.reject(new Error("No mutationFn found")),onFail:(l,c)=>{this.#r({type:"failed",failureCount:l,error:c})},onPause:()=>{this.#r({type:"pause"})},onContinue:t,retry:this.options.retry??0,retryDelay:this.options.retryDelay,networkMode:this.options.networkMode,canRun:()=>this.#n.canRun(this)});const o=this.state.status==="pending",a=!this.#o.canStart();try{if(o)t();else{this.#r({type:"pending",variables:e,isPaused:a}),await this.#n.config.onMutate?.(e,this,n);const c=await this.options.onMutate?.(e,n);c!==this.state.context&&this.#r({type:"pending",context:c,variables:e,isPaused:a})}const l=await this.#o.start();return await this.#n.config.onSuccess?.(l,e,this.state.context,this,n),await this.options.onSuccess?.(l,e,this.state.context,n),await this.#n.config.onSettled?.(l,null,this.state.variables,this.state.context,this,n),await this.options.onSettled?.(l,null,e,this.state.context,n),this.#r({type:"success",data:l}),l}catch(l){try{throw await this.#n.config.onError?.(l,e,this.state.context,this,n),await this.options.onError?.(l,e,this.state.context,n),await this.#n.config.onSettled?.(void 0,l,this.state.variables,this.state.context,this,n),await this.options.onSettled?.(void 0,l,e,this.state.context,n),l}finally{this.#r({type:"error",error:l})}}finally{this.#n.runNext(this)}}#r(e){const t=n=>{switch(e.type){case"failed":return{...n,failureCount:e.failureCount,failureReason:e.error};case"pause":return{...n,isPaused:!0};case"continue":return{...n,isPaused:!1};case"pending":return{...n,context:e.context,data:void 0,failureCount:0,failureReason:null,error:null,isPaused:e.isPaused,status:"pending",variables:e.variables,submittedAt:Date.now()};case"success":return{...n,data:e.data,failureCount:0,failureReason:null,error:null,status:"success",isPaused:!1};case"error":return{...n,data:void 0,error:e.error,failureCount:n.failureCount+1,failureReason:e.error,isPaused:!1,status:"error"}}};this.state=t(this.state),lr.batch(()=>{this.#t.forEach(n=>{n.onMutationUpdate(e)}),this.#n.notify({mutation:this,type:"updated",action:e})})}};function TI(){return{context:void 0,data:void 0,error:null,failureCount:0,failureReason:null,isPaused:!1,status:"idle",variables:void 0,submittedAt:0}}var EI=class extends yu{constructor(e={}){super(),this.config=e,this.#e=new Set,this.#t=new Map,this.#n=0}#e;#t;#n;build(e,t,n){const o=new RI({client:e,mutationCache:this,mutationId:++this.#n,options:e.defaultMutationOptions(t),state:n});return this.add(o),o}add(e){this.#e.add(e);const t=Xd(e);if(typeof t=="string"){const n=this.#t.get(t);n?n.push(e):this.#t.set(t,[e])}this.notify({type:"added",mutation:e})}remove(e){if(this.#e.delete(e)){const t=Xd(e);if(typeof t=="string"){const n=this.#t.get(t);if(n)if(n.length>1){const o=n.indexOf(e);o!==-1&&n.splice(o,1)}else n[0]===e&&this.#t.delete(t)}}this.notify({type:"removed",mutation:e})}canRun(e){const t=Xd(e);if(typeof t=="string"){const o=this.#t.get(t)?.find(a=>a.state.status==="pending");return!o||o===e}else return!0}runNext(e){const t=Xd(e);return typeof t=="string"?this.#t.get(t)?.find(o=>o!==e&&o.state.isPaused)?.continue()??Promise.resolve():Promise.resolve()}clear(){lr.batch(()=>{this.#e.forEach(e=>{this.notify({type:"removed",mutation:e})}),this.#e.clear(),this.#t.clear()})}getAll(){return Array.from(this.#e)}find(e){const t={exact:!0,...e};return this.getAll().find(n=>nw(t,n))}findAll(e={}){return this.getAll().filter(t=>nw(e,t))}notify(e){lr.batch(()=>{this.listeners.forEach(t=>{t(e)})})}resumePausedMutations(){const e=this.getAll().filter(t=>t.state.isPaused);return lr.batch(()=>Promise.all(e.map(t=>t.continue().catch(kr))))}};function Xd(e){return e.options.scope?.id}var AI=class extends yu{constructor(e={}){super(),this.config=e,this.#e=new Map}#e;build(e,t,n){const o=t.queryKey,a=t.queryHash??ev(o,t);let l=this.get(a);return l||(l=new 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a=t.innerType._zod.run(n,o);return a instanceof Promise?a.then(l=>Sw(l,e)):Sw(a,e)}});function Sw(e,t){return!e.issues.length&&e.value===void 0&&e.issues.push({code:"invalid_type",expected:"nonoptional",input:e.value,inst:t}),e}const KB=ve("$ZodCatch",(e,t)=>{kn.init(e,t),rn(e._zod,"optin",()=>t.innerType._zod.optin),rn(e._zod,"optout",()=>t.innerType._zod.optout),rn(e._zod,"values",()=>t.innerType._zod.values),e._zod.parse=(n,o)=>{if(o.direction==="backward")return t.innerType._zod.run(n,o);const a=t.innerType._zod.run(n,o);return a instanceof 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f=a.map(m=>Nw(m,e.general,"ura"));o.ura={presets:f,activePresetId:(typeof l=="string"?l:void 0)??f[0]?.id},console.log("[MIGRATE] Migrated",f.length,"presets to scenarios.ura")}for(const f of Object.keys(o)){const m=o[f]??{presets:[],activePresetId:void 0},g=Array.isArray(m.presets)?m.presets.map(b=>Nw(b,e.general,f)):[],v=m.activePresetId&&g.find(b=>b.id===m.activePresetId)?m.activePresetId:g[0]?.id;o[f]={presets:g,activePresetId:v}}const c=pv(e?.general?.activeScenario),d={version:e.version??1,general:{...B2,...e.general,activeScenario:c},scenarios:o};return console.log("[MIGRATE] Migration complete. 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Fc(Dr(c)),this.initialCoordinates=(a=hy(l))!=null?a:jo,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n,bypassActivationConstraint:o}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),t.cancel&&this.listeners.add(t.cancel.name,this.handleCancel),this.windowListeners.add(ho.Resize,this.handleCancel),this.windowListeners.add(ho.DragStart,sC),this.windowListeners.add(ho.VisibilityChange,this.handleCancel),this.windowListeners.add(ho.ContextMenu,sC),this.documentListeners.add(ho.Keydown,this.handleKeydown),n){if(o!=null&&o({event:this.props.event,activeNode:this.props.activeNode,options:this.props.options}))return 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zr!7Ux#yBR7GhvKy9LKjRMzA$!E>yt}X($y9!_kANJuQwS&qy@P)`X}e#f+&~Qhppy
zV8T(3br6bZDtLgU@7F6q*8^(8)8W#LA~eklvk>8op~Hh&6AoY-{KQC2n6&npeO>|h
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zGS7`Z*YGIHF)aX{Amec{p(2!TJi>;l3H2)As4nj!38Q!WhP?n(f?`4g2+3*r;jFUj
z#*wt=2=g#Zmf2*XUW{nvOuPeXaa185nF&YoX2LWTj$%R;2&W{D7GGE|ZYsm0i*KA;
ze^2A6STNz|`}O*@t9b)>d3K3Ady5$%bv{K{!jZ#vPw&a=qpq;AcNac1GZbE~202fJ
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zqiIWVxwjNZ7=$3S_v?$J^C#A$uCOa~7nX+m2!6paBLjw<kKZIbjsKDu%19u(3sqff
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zDAa~ygdRr|Ww`~~?8}7^1YwX0)q%dWogsKjyQKiTO3#(eh44aE4q2K}6L#fCdMRmp
z@!6%uoD?$vq$w1FUd*6zH=*Ri=UI>GnhR~B30<A>WSBffTsgtcO{j6yWFIAt8p0X)
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zM+1Jrj=j5ZCLf2<{6HpTU_+M^jMRf6KX;*<@E}15L2dLkj<(N^!>%iKw5AYn-coQ3
zn9vZ;;=<VnX9=TBk|793hCLaY4Mz*uQ2Qbn<~a;uK9RXl>Klopc{L#j-G!wsMF_(?
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Q761SM07*qoM6N<$f{qn@Q~&?~

literal 0
HcmV?d00001

diff --git a/web/dist/index.html b/web/dist/index.html
index 5f52b939..5b726df8 100644
--- a/web/dist/index.html
+++ b/web/dist/index.html
@@ -5,7 +5,7 @@
     <link rel="icon" type="image/svg+xml" href="/logo.svg" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Umaplay</title>
-    <script type="module" crossorigin src="/assets/index-uUFNqaOe.js"></script>
+    <script type="module" crossorigin src="/assets/index-BIcCosn4.js"></script>
   </head>
   <body>
     <div id="root"></div>

diff --git a/web/src/components/general/AdvancedSettings.tsx b/web/src/components/general/AdvancedSettings.tsx
index 58e545f2..cb35cd76 100644
--- a/web/src/components/general/AdvancedSettings.tsx
+++ b/web/src/components/general/AdvancedSettings.tsx
@@ -17,6 +17,15 @@ export default function AdvancedSettings() {
   const [topStats, setTopStats] = useState(a.topStatsFocus)
   const [externalUrl, setExternalUrl] = useState(a.externalProcessorUrl)
 
+  // Career Loop state
+  const [careerLoopEnabled, setCareerLoopEnabled] = useState(a.careerLoop?.enabled ?? true)
+  const [maxCareers, setMaxCareers] = useState(a.careerLoop?.maxCareers ?? 5)
+  const [preferredSupport, setPreferredSupport] = useState(a.careerLoop?.preferredSupport ?? 'Riko Kashimoto')
+  const [preferredLevel, setPreferredLevel] = useState(a.careerLoop?.preferredLevel ?? 50)
+  const [maxRefresh, setMaxRefresh] = useState(a.careerLoop?.maxRefresh ?? 5)
+  const [refreshWait, setRefreshWait] = useState(a.careerLoop?.refreshWait ?? 5.0)
+  const [errorThreshold, setErrorThreshold] = useState(a.careerLoop?.errorThreshold ?? 5)
+
   const autoRestMarks = useMemo(() => {
     const marks = [{ value: 1 }]
     for (let v = 5; v <= 70; v += 5) {
@@ -34,6 +43,13 @@ export default function AdvancedSettings() {
     setUndertrain(a.undertrainThreshold)
     setTopStats(a.topStatsFocus)
     setExternalUrl(a.externalProcessorUrl)
+    setCareerLoopEnabled(a.careerLoop?.enabled ?? true)
+    setMaxCareers(a.careerLoop?.maxCareers ?? 5)
+    setPreferredSupport(a.careerLoop?.preferredSupport ?? 'Riko Kashimoto')
+    setPreferredLevel(a.careerLoop?.preferredLevel ?? 50)
+    setMaxRefresh(a.careerLoop?.maxRefresh ?? 5)
+    setRefreshWait(a.careerLoop?.refreshWait ?? 5.0)
+    setErrorThreshold(a.careerLoop?.errorThreshold ?? 5)
   }, [
     a.autoRestMinimum,
     a.skillCheckInterval,
@@ -41,6 +57,7 @@ export default function AdvancedSettings() {
     a.undertrainThreshold,
     a.topStatsFocus,
     a.externalProcessorUrl,
+    a.careerLoop,
   ])
 
   const commitAdvanced = <K extends keyof typeof a>(key: K, value: (typeof a)[K]) => {
@@ -380,6 +397,258 @@ export default function AdvancedSettings() {
           })}
           sx={{ mt: 2 }}
         />
+
+        <Divider sx={{ my: 3 }} />
+        <Typography variant="h6" sx={{ mb: 2 }}>Career Loop Automation</Typography>
+        <Typography variant="body2" color="text.secondary" sx={{ mb: 2 }}>
+          Automated career farming for unattended gameplay. Press F1 to start/stop career loop mode.
+        </Typography>
+
+        <FieldRow
+          label="Enable Career Loop"
+          control={
+            <FormControlLabel
+              control={
+                <Switch
+                  checked={careerLoopEnabled}
+                  onChange={(e) => {
+                    const enabled = e.target.checked
+                    setCareerLoopEnabled(enabled)
+                    setGeneral({
+                      advanced: {
+                        ...a,
+                        careerLoop: {
+                          ...(a.careerLoop || {}),
+                          enabled,
+                          maxCareers: maxCareers || null,
+                          preferredSupport,
+                          preferredLevel,
+                          maxRefresh,
+                          refreshWait,
+                          errorThreshold,
+                        },
+                      },
+                    })
+                  }}
+                />
+              }
+              label={careerLoopEnabled ? 'Enabled' : 'Disabled'}
+            />
+          }
+          info="Enable automated career loop for farming multiple careers."
+        />
+
+        <FieldRow
+          label="Max Careers"
+          control={
+            <TextField
+              size="small"
+              type="number"
+              value={maxCareers || ''}
+              onChange={(e) => {
+                const val = e.target.value === '' ? 0 : parseInt(e.target.value, 10)
+                setMaxCareers(val)
+              }}
+              onBlur={() => {
+                setGeneral({
+                  advanced: {
+                    ...a,
+                    careerLoop: {
+                      ...(a.careerLoop || {}),
+                      enabled: careerLoopEnabled,
+                      maxCareers: maxCareers || 0,
+                      preferredSupport,
+                      preferredLevel,
+                      maxRefresh,
+                      refreshWait,
+                      errorThreshold,
+                    },
+                  },
+                })
+              }}
+              inputProps={{ min: 0, max: 999 }}
+              placeholder="0 = infinite"
+              sx={{ width: 120 }}
+            />
+          }
+          info="Number of careers to complete (0 or empty = infinite loop)."
+        />
+
+        <FieldRow
+          label="Preferred Support"
+          control={
+            <TextField
+              size="small"
+              fullWidth
+              value={preferredSupport}
+              onChange={(e) => setPreferredSupport(e.target.value)}
+              onBlur={() => {
+                setGeneral({
+                  advanced: {
+                    ...a,
+                    careerLoop: {
+                      ...(a.careerLoop || {}),
+                      enabled: careerLoopEnabled,
+                      maxCareers: maxCareers || null,
+                      preferredSupport,
+                      preferredLevel,
+                      maxRefresh,
+                      refreshWait,
+                      errorThreshold,
+                    },
+                  },
+                })
+              }}
+              placeholder="Riko Kashimoto"
+            />
+          }
+          info="Name of the preferred support card to select."
+        />
+
+        <FieldRow
+          label="Preferred Level"
+          control={renderSliderControl({
+            id: 'preferredLevel',
+            value: preferredLevel,
+            min: 1,
+            max: 100,
+            step: 1,
+            onChange: (_, v) => {
+              const next = Math.max(1, Math.min(100, Math.round(toNumber(v))))
+              setPreferredLevel(next)
+            },
+            onCommit: (_, v) => {
+              const next = Math.max(1, Math.min(100, Math.round(toNumber(v))))
+              setPreferredLevel(next)
+              setGeneral({
+                advanced: {
+                  ...a,
+                  careerLoop: {
+                    ...(a.careerLoop || {}),
+                    enabled: careerLoopEnabled,
+                    maxCareers: maxCareers || null,
+                    preferredSupport,
+                    preferredLevel: next,
+                    maxRefresh,
+                    refreshWait,
+                    errorThreshold,
+                  },
+                },
+              })
+            },
+          })}
+          info="Preferred support card level (1-100)."
+          sx={{ mt: 2 }}
+        />
+
+        <FieldRow
+          label="Max Support Refresh"
+          control={renderSliderControl({
+            id: 'maxRefresh',
+            value: maxRefresh,
+            min: 0,
+            max: 20,
+            step: 1,
+            onChange: (_, v) => {
+              const next = Math.max(0, Math.min(20, Math.round(toNumber(v))))
+              setMaxRefresh(next)
+            },
+            onCommit: (_, v) => {
+              const next = Math.max(0, Math.min(20, Math.round(toNumber(v))))
+              setMaxRefresh(next)
+              setGeneral({
+                advanced: {
+                  ...a,
+                  careerLoop: {
+                    ...(a.careerLoop || {}),
+                    enabled: careerLoopEnabled,
+                    maxCareers: maxCareers || null,
+                    preferredSupport,
+                    preferredLevel,
+                    maxRefresh: next,
+                    refreshWait,
+                    errorThreshold,
+                  },
+                },
+              })
+            },
+          })}
+          info="Maximum times to refresh the support list (0-20)."
+          sx={{ mt: 2 }}
+        />
+
+        <FieldRow
+          label="Refresh Wait (seconds)"
+          control={
+            <TextField
+              size="small"
+              type="number"
+              value={refreshWait}
+              onChange={(e) => {
+                const val = parseFloat(e.target.value)
+                if (!isNaN(val)) setRefreshWait(val)
+              }}
+              onBlur={() => {
+                const clamped = Math.max(1.0, Math.min(30.0, refreshWait))
+                setRefreshWait(clamped)
+                setGeneral({
+                  advanced: {
+                    ...a,
+                    careerLoop: {
+                      ...(a.careerLoop || {}),
+                      enabled: careerLoopEnabled,
+                      maxCareers: maxCareers || null,
+                      preferredSupport,
+                      preferredLevel,
+                      maxRefresh,
+                      refreshWait: clamped,
+                      errorThreshold,
+                    },
+                  },
+                })
+              }}
+              inputProps={{ min: 1.0, max: 30.0, step: 0.5 }}
+              sx={{ width: 120 }}
+            />
+          }
+          info="Wait time between support list refreshes (1.0-30.0 seconds)."
+        />
+
+        <FieldRow
+          label="Error Threshold"
+          control={renderSliderControl({
+            id: 'errorThreshold',
+            value: errorThreshold,
+            min: 1,
+            max: 20,
+            step: 1,
+            onChange: (_, v) => {
+              const next = Math.max(1, Math.min(20, Math.round(toNumber(v))))
+              setErrorThreshold(next)
+            },
+            onCommit: (_, v) => {
+              const next = Math.max(1, Math.min(20, Math.round(toNumber(v))))
+              setErrorThreshold(next)
+              setGeneral({
+                advanced: {
+                  ...a,
+                  careerLoop: {
+                    ...(a.careerLoop || {}),
+                    enabled: careerLoopEnabled,
+                    maxCareers: maxCareers || null,
+                    preferredSupport,
+                    preferredLevel,
+                    maxRefresh,
+                    refreshWait,
+                    errorThreshold: next,
+                  },
+                },
+              })
+            },
+          })}
+          info="Max consecutive errors before stopping the loop (1-20)."
+          sx={{ mt: 2 }}
+        />
       </Collapse>
     </Stack>
   )
diff --git a/web/src/models/types.ts b/web/src/models/types.ts
index 7018097a..34a0440f 100644
--- a/web/src/models/types.ts
+++ b/web/src/models/types.ts
@@ -59,6 +59,16 @@ export interface GeneralConfig {
     // Skills optimization (Raceday auto-buy gating)
     skillCheckInterval: number // Check skills every N turns (1 = every turn)
     skillPtsDelta: number // Only check if points increased by at least this amount
+    // Career Loop automation settings
+    careerLoop?: {
+      enabled: boolean
+      maxCareers: number | null // null or 0 = infinite
+      preferredSupport: string
+      preferredLevel: number // 1-100
+      maxRefresh: number // 0-20
+      refreshWait: number // 1.0-30.0 seconds
+      errorThreshold: number // 1-20
+    }
   }
 }
 

From 033c52dee3ecdcb363858d7c90508bcaebfdd988 Mon Sep 17 00:00:00 2001
From: dhrpf <85220501+dhrpf@users.noreply.github.com>
Date: Fri, 20 Feb 2026 00:50:01 +0700
Subject: [PATCH 3/5] fix: missing map_names in unity_cup

---
 core/perception/analyzers/screen.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/core/perception/analyzers/screen.py b/core/perception/analyzers/screen.py
index 888660bb..27ea23dc 100644
--- a/core/perception/analyzers/screen.py
+++ b/core/perception/analyzers/screen.py
@@ -208,6 +208,7 @@ def classify_screen_unity_cup(
         "pal": "lobby_pal",
         "button_change": "button_change",
         "race_badge": "race_badge",
+        "career_complete": "career_complete",
     }
 
     counts = Counter(d["name"] for d in dets)

From 7ca87f39d8f21c93dd7351287b7c492e4787043c Mon Sep 17 00:00:00 2001
From: dhrpf <85220501+dhrpf@users.noreply.github.com>
Date: Fri, 20 Feb 2026 03:27:55 +0700
Subject: [PATCH 4/5] revert: remote detection

---
 core/perception/ocr/ocr_remote.py   | 138 ++++++++------------
 core/perception/yolo/yolo_remote.py | 188 +++-------------------------
 2 files changed, 66 insertions(+), 260 deletions(-)

diff --git a/core/perception/ocr/ocr_remote.py b/core/perception/ocr/ocr_remote.py
index 9adaf1e8..5fe4c51a 100644
--- a/core/perception/ocr/ocr_remote.py
+++ b/core/perception/ocr/ocr_remote.py
@@ -1,38 +1,48 @@
 # core/perception/ocr/ocr_remote.py
 from __future__ import annotations
 
-import time
+import base64
+import hashlib
 from typing import Any, Dict, List, Optional
 
 import cv2
 import numpy as np
 import requests
 from core.perception.ocr.interface import OCRInterface
+from core.utils.img import to_bgr  # if you prefer, you can inline conversion here
 from core.utils.logger import logger_uma
 from PIL import Image
 
 
 def _prepare_bgr3(img: Any) -> np.ndarray:
-    """
-    Convert any image format to 3-channel BGR numpy array for encoding.
-    """
     if isinstance(img, Image.Image):
         bgr = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
     elif isinstance(img, np.ndarray):
         bgr = img
     else:
         from core.utils.img import to_bgr
+
         bgr = to_bgr(img)
-    
-    # Normalize to 3-channel BGR
     if bgr.ndim == 2:
         bgr = cv2.cvtColor(bgr, cv2.COLOR_GRAY2BGR)
     elif bgr.shape[2] == 4:
         bgr = cv2.cvtColor(bgr, cv2.COLOR_BGRA2BGR)
-    
     return bgr
 
 
+def _encode_image_to_base64(img: Any, *, fmt: str = ".png") -> str:
+    bgr = _prepare_bgr3(img)
+    ok, buf = cv2.imencode(fmt, bgr)
+    if not ok:
+        raise ValueError("Failed to encode image")
+    return base64.b64encode(buf.tobytes()).decode("ascii")
+
+
+def _local_checksum(img: Any) -> str:
+    bgr = _prepare_bgr3(img)
+    return hashlib.sha256(bgr.tobytes()).hexdigest()[:12]
+
+
 class RemoteOCREngine(OCRInterface):
     """
     HTTP client that calls a backend OCR service (FastAPI) at <base_url>/ocr.
@@ -50,20 +60,9 @@ def __init__(
         self.timeout = timeout
         self.session = session or requests.Session()
 
-    def _post(self, data: Dict[str, Any] = None, files: Dict = None) -> Dict[str, Any]:
-        """
-        Send OCR request using multipart/form-data (optimized) or JSON (legacy fallback).
-        """
+    def _post(self, payload: Dict[str, Any]) -> Dict[str, Any]:
         url = f"{self.base_url}/ocr"
-        # start_time = time.perf_counter()
-        
-        if files:
-            # Multipart upload (optimized)
-            r = self.session.post(url, data=data, files=files, timeout=self.timeout)
-        else:
-            # Legacy JSON behavior (should not be used anymore)
-            r = self.session.post(url, json=data, timeout=self.timeout)
-        
+        r = self.session.post(url, json=payload, timeout=self.timeout)
         try:
             r.raise_for_status()
         except Exception:
@@ -71,85 +70,46 @@ def _post(self, data: Dict[str, Any] = None, files: Dict = None) -> Dict[str, An
                 "RemoteOCR request failed: %s %s", r.status_code, r.text[:2000]
             )
             raise
-        # finally:
-            # elapsed = time.perf_counter() - start_time
-            # logger_uma.debug("RemoteOCR request took %.3fs", elapsed)
-        
-        response_data = r.json()
-        if "data" not in response_data:
-            raise ValueError(f"Unexpected response shape: {response_data}")
-        return response_data
+        data = r.json()
+        if "data" not in data:
+            raise ValueError(f"Unexpected response shape: {data}")
+        return data
 
     # ---- Methods ----
     def raw(self, img: Any) -> Dict[str, Any]:
-        bgr = _prepare_bgr3(img)
-        success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
-        if not success:
-            raise ValueError("Failed to encode image")
-        img_bytes = encoded_img.tobytes()
-        
-        metadata = {"mode": "raw"}
-        result = self._post(data=metadata, files={"file": ("image.jpg", img_bytes, "image/jpeg")})
-        return result["data"]
+        img64 = _encode_image_to_base64(img)
+        return self._post({"mode": "raw", "img": img64})["data"]
 
     def text(self, img: Any, joiner: str = " ", min_conf: float = 0.2) -> str:
-        bgr = _prepare_bgr3(img)
-        success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
-        if not success:
-            raise ValueError("Failed to encode image")
-        img_bytes = encoded_img.tobytes()
-        
-        metadata = {
-            "mode": "text",
-            "joiner": joiner,
-            "min_conf": str(min_conf),
-        }
-        result = self._post(data=metadata, files={"file": ("image.jpg", img_bytes, "image/jpeg")})
-        return result["data"]
+        img64 = _encode_image_to_base64(img)
+        return self._post(
+            {
+                "mode": "text",
+                "img": img64,
+                "joiner": joiner,
+                "min_conf": float(min_conf),
+            }
+        )["data"]
 
     def digits(self, img: Any) -> int:
-        bgr = _prepare_bgr3(img)
-        success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
-        if not success:
-            raise ValueError("Failed to encode image")
-        img_bytes = encoded_img.tobytes()
-        
-        metadata = {"mode": "digits"}
-        result = self._post(data=metadata, files={"file": ("image.jpg", img_bytes, "image/jpeg")})
-        return int(result["data"])
+        img64 = _encode_image_to_base64(img)
+        return int(self._post({"mode": "digits", "img": img64})["data"])
 
     def batch_text(
         self, imgs: List[Any], *, joiner: str = " ", min_conf: float = 0.2
     ) -> List[str]:
-        # For batch operations, encode multiple images
-        files_list = []
-        for idx, im in enumerate(imgs):
-            bgr = _prepare_bgr3(im)
-            success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
-            if not success:
-                raise ValueError(f"Failed to encode image {idx}")
-            img_bytes = encoded_img.tobytes()
-            files_list.append(("files", (f"image_{idx}.jpg", img_bytes, "image/jpeg")))
-        
-        metadata = {
-            "mode": "batch_text",
-            "joiner": joiner,
-            "min_conf": str(min_conf),
-        }
-        result = self._post(data=metadata, files=files_list)
-        return list(result["data"])
+        imgs64 = [_encode_image_to_base64(im) for im in imgs]
+        return list(
+            self._post(
+                {
+                    "mode": "batch_text",
+                    "imgs": imgs64,
+                    "joiner": joiner,
+                    "min_conf": float(min_conf),
+                }
+            )["data"]
+        )
 
     def batch_digits(self, imgs: List[Any]) -> List[str]:
-        # For batch operations, encode multiple images
-        files_list = []
-        for idx, im in enumerate(imgs):
-            bgr = _prepare_bgr3(im)
-            success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
-            if not success:
-                raise ValueError(f"Failed to encode image {idx}")
-            img_bytes = encoded_img.tobytes()
-            files_list.append(("files", (f"image_{idx}.jpg", img_bytes, "image/jpeg")))
-        
-        metadata = {"mode": "batch_digits"}
-        result = self._post(data=metadata, files=files_list)
-        return list(result["data"])
+        imgs64 = [_encode_image_to_base64(im) for im in imgs]
+        return list(self._post({"mode": "batch_digits", "imgs": imgs64})["data"])
diff --git a/core/perception/yolo/yolo_remote.py b/core/perception/yolo/yolo_remote.py
index 9327cfce..859f3011 100644
--- a/core/perception/yolo/yolo_remote.py
+++ b/core/perception/yolo/yolo_remote.py
@@ -15,134 +15,6 @@
 from core.types import DetectionDict
 from core.utils.img import pil_to_bgr, to_bgr
 from core.utils.logger import logger_uma
-import time
-
-# Global counter for button collection (button_type_state -> count)
-# Key format: "button_white_on", "button_white_off", etc.
-_button_collection_counts: Dict[str, int] = {}
-
-# Button classes to collect
-_button_classes = ["button_white", "button_green", "button_golden", "button_pink"]
-
-
-def _get_button_count(button_type: str, state: str) -> int:
-    """Get current button collection count for a button type and state."""
-    global _button_collection_counts
-    key = f"{button_type}_{state}"
-    return _button_collection_counts.get(key, 0)
-
-
-def _increment_button_count(button_type: str, state: str) -> int:
-    """Increment and return button collection count for a button type and state."""
-    global _button_collection_counts
-    key = f"{button_type}_{state}"
-    _button_collection_counts[key] = _button_collection_counts.get(key, 0) + 1
-    return _button_collection_counts[key]
-
-
-def _collect_button_data(
-    pil_img: Image.Image,
-    dets: List[DetectionDict],
-    classifier: Optional["ActiveButtonClassifier"] = None,
-) -> None:
-    """
-    Automatically collect button training data based on button classifier prediction.
-    
-    For each button detection:
-    - Crop button region
-    - Run through button classifier
-    - If classifier_conf >= threshold: save to datasets/button_states/{button_type}/on/
-    - If classifier_conf < threshold: save to datasets/button_states/{button_type}/off/
-    
-    Filters out buttons with width < 125 pixels to avoid collecting small/partial detections.
-    Limits collection based on Settings.BUTTON_COLLECTION_LIMIT per button type.
-    Can be disabled by setting Settings.COLLECT_BUTTON_DATA = False.
-    """
-    import os
-    import time
-    from core.utils.geometry import crop_pil
-    
-    # Check if button collection is enabled
-    if not Settings.COLLECT_BUTTON_DATA:
-        return
-    
-    if not dets:
-        return
-    
-    # Load classifier if not provided
-    if classifier is None:
-        try:
-            from core.perception.is_button_active import ActiveButtonClassifier
-            classifier = ActiveButtonClassifier.load("models/active_button_clf.joblib")
-        except Exception as e:
-            logger_uma.debug(f"[BUTTON COLLECT] Classifier not available, skipping collection: {e}")
-            return
-    
-    try:
-        base_dir = "datasets/button_states"
-        ts = time.strftime("%Y%m%d-%H%M%S") + f"_{int((time.time() % 1) * 1000):03d}"
-        
-        for det in dets:
-            button_name = det.get("name", "")
-            
-            # Only collect specified button classes
-            if button_name not in _button_classes:
-                continue
-            
-            yolo_conf = float(det.get("conf", 0.0))
-            xyxy = det.get("xyxy")
-            
-            if not xyxy:
-                continue
-            
-            # Calculate button width and skip if too small
-            x1, y1, x2, y2 = xyxy
-            button_width = x2 - x1
-            if button_width < 125:
-                continue
-            
-            # Crop button region from image
-            button_img = crop_pil(pil_img, (int(x1), int(y1), int(x2), int(y2)))
-            
-            # Run through classifier to get actual button state confidence
-            try:
-                start_time = time.perf_counter()
-                classifier_conf = classifier.predict_proba(button_img)
-                end_time = time.perf_counter()
-                print(f"classifier took : {end_time - start_time}")
-            except Exception as e:
-                logger_uma.debug(f"[BUTTON COLLECT] Classifier prediction failed: {e}")
-                continue
-            
-            # Determine on/off based on classifier confidence threshold
-            state = "on" if classifier_conf >= Settings.BUTTON_COLLECTION_THRESHOLD else "off"
-            
-            # Check if we've collected enough for this button type and state
-            current_count = _get_button_count(button_name, state)
-            if current_count >= Settings.BUTTON_COLLECTION_LIMIT:
-                continue
-            
-            # Create output directory
-            out_dir = os.path.join(base_dir, button_name, state)
-            os.makedirs(out_dir, exist_ok=True)
-            
-            # Save with timestamp and classifier confidence
-            filename = f"{button_name}_{state}_{ts}_{classifier_conf:.2f}.png"
-            filepath = os.path.join(out_dir, filename)
-            
-            # Save image
-            button_img.save(filepath)
-            
-            # Increment counter
-            new_count = _increment_button_count(button_name, state)
-            
-            logger_uma.debug(
-                f"[BUTTON COLLECT] {button_name} {state.upper()} ({new_count}/{Settings.BUTTON_COLLECTION_LIMIT}) "
-                f"clf_conf={classifier_conf:.2f} yolo_conf={yolo_conf:.2f} w={button_width:.0f}px -> {filename}"
-            )
-            
-    except Exception as e:
-        logger_uma.debug(f"failed collecting button data: {e}")
 
 
 def _encode_image_to_base64(img: Any, *, fmt: str = ".png") -> str:
@@ -193,19 +65,10 @@ def __init__(
         # Ensure JSON-serializable type (avoid WindowsPath issues)
         self.weights = str(weights) if weights is not None else None
 
-    def _post(self, data: Dict[str, Any] = None, files: Dict = None, json_payload: Dict = None) -> Dict[str, Any]:
-        """
-        Refactored to support both JSON (legacy) and Multipart (optimized)
-        """
-        url = f"{self.base_url}/yolo"
-        
-        if files:
-            # Multipart upload
-            r = self.session.post(url, data=data, files=files, timeout=self.timeout)
-        else:
-            # Legacy JSON behavior
-            r = self.session.post(url, json=json_payload, timeout=self.timeout)
-
+    def _post(self, payload: Dict[str, any]) -> Dict[str, any]:
+        r = self.session.post(
+            f"{self.base_url}/yolo", json=payload, timeout=self.timeout
+        )
         r.raise_for_status()
         return r.json()
 
@@ -224,30 +87,18 @@ def detect_bgr(
         conf = conf if conf is not None else Settings.YOLO_CONF
         iou = iou if iou is not None else Settings.YOLO_IOU
 
-        success, encoded_img = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
-        img_bytes = encoded_img.tobytes()
-
-        # 4. Prepare Metadata (Must be strings for multipart/form-data)
-        metadata = {
-            "imgsz": str(imgsz),
-            "conf": str(conf),
-            "iou": str(iou),
-            "weights_path": self.weights,
-            "tag": tag,
-            "agent": agent or "",
-        }
-
-        # start_time = time.perf_counter()
-        
-        # 5. Send as Multipart
-        data = self._post(data=metadata, files={"file": ("image.jpg", img_bytes, "image/jpeg")})
-        
-        # end_time = time.perf_counter()
-        
-        # logger_uma.debug(
-        #     "remote yolo (optimized): (%.3f s)",
-        #     end_time - start_time,
-        # )
+        img64 = _encode_image_to_base64(bgr)
+        data = self._post(
+            {
+                "img": img64,
+                "imgsz": imgsz,
+                "conf": conf,
+                "iou": iou,
+                "weights_path": self.weights,
+                "tag": tag,
+                "agent": agent,
+            }
+        )
         meta = data.get(
             "meta", {"backend": "remote", "imgsz": imgsz, "conf": conf, "iou": iou}
         )
@@ -269,7 +120,7 @@ def detect_pil(
         agent: Optional[str] = None,
     ) -> Tuple[Dict[str, Any], List[DetectionDict]]:
         bgr = pil_to_bgr(pil_img)
-        meta, dets = self.detect_bgr(
+        return self.detect_bgr(
             bgr,
             imgsz=imgsz,
             conf=conf,
@@ -277,11 +128,6 @@ def detect_pil(
             tag=tag,
             agent=agent,
         )
-        
-        # Collect button training data on client side
-        # _collect_button_data(pil_img, dets)
-        
-        return meta, dets
 
     @staticmethod
     def _maybe_store_debug(

From 9fc6125a20290743ad6f124ec6b6e694cd49afb0 Mon Sep 17 00:00:00 2001
From: dhrpf <85220501+dhrpf@users.noreply.github.com>
Date: Sun, 22 Feb 2026 05:11:12 +0700
Subject: [PATCH 5/5] fix: missing careerLooping schema

---
 .../{index-BIcCosn4.js => index-BY8sGv-Y.js}  | 26 +++++++++----------
 web/dist/index.html                           |  2 +-
 web/src/models/config.schema.ts               | 21 ++++++++++-----
 3 files changed, 29 insertions(+), 20 deletions(-)
 rename web/dist/assets/{index-BIcCosn4.js => index-BY8sGv-Y.js} (92%)

diff --git a/web/dist/assets/index-BIcCosn4.js b/web/dist/assets/index-BY8sGv-Y.js
similarity index 92%
rename from web/dist/assets/index-BIcCosn4.js
rename to web/dist/assets/index-BY8sGv-Y.js
index 3429c896..255d4636 100644
--- a/web/dist/assets/index-BIcCosn4.js
+++ b/web/dist/assets/index-BY8sGv-Y.js
@@ -22,7 +22,7 @@ function qA(e,t){for(var n=0;n<t.length;n++){const o=t[n];if(typeof o!="string"&
  *
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
- */var pS;function ZA(){return pS||(pS=1,(function(e){function t(j,W){var J=j.length;j.push(W);e:for(;0<J;){var X=J-1>>>1,N=j[X];if(0<i(N,W))j[X]=W,j[J]=N,J=X;else break e}}function n(j){return j.length===0?null:j[0]}function o(j){if(j.length===0)return null;var W=j[0],J=j.pop();if(J!==W){j[0]=J;e:for(var X=0,N=j.length,I=N>>>1;X<I;){var H=2*(X+1)-1,Z=j[H],te=H+1,ce=j[te];if(0>i(Z,J))te<N&&0>i(ce,Z)?(j[X]=ce,j[te]=J,X=te):(j[X]=Z,j[H]=J,X=H);else if(te<N&&0>i(ce,J))j[X]=ce,j[te]=J,X=te;else break e}}return W}function i(j,W){var J=j.sortIndex-W.sortIndex;return J!==0?J:j.id-W.id}if(e.unstable_now=void 0,typeof performance=="object"&&typeof performance.now=="function"){var l=performance;e.unstable_now=function(){return l.now()}}else{var c=Date,d=c.now();e.unstable_now=function(){return c.now()-d}}var f=[],m=[],g=1,v=null,x=3,C=!1,w=!1,S=!1,T=!1,k=typeof setTimeout=="function"?setTimeout:null,P=typeof clearTimeout=="function"?clearTimeout:null,R=typeof setImmediate<"u"?setImmediate:null;function A(j){for(var W=n(m);W!==null;){if(W.callback===null)o(m);else if(W.startTime<=j)o(m),W.sortIndex=W.expirationTime,t(f,W);else break;W=n(m)}}function M(j){if(S=!1,A(j),!w)if(n(f)!==null)w=!0,_||(_=!0,E());else{var W=n(m);W!==null&&G(M,W.startTime-j)}}var _=!1,$=-1,z=5,B=-1;function U(){return T?!0:!(e.unstable_now()-B<z)}function q(){if(T=!1,_){var j=e.unstable_now();B=j;var W=!0;try{e:{w=!1,S&&(S=!1,P($),$=-1),C=!0;var J=x;try{t:{for(A(j),v=n(f);v!==null&&!(v.expirationTime>j&&U());){var X=v.callback;if(typeof X=="function"){v.callback=null,x=v.priorityLevel;var N=X(v.expirationTime<=j);if(j=e.unstable_now(),typeof N=="function"){v.callback=N,A(j),W=!0;break t}v===n(f)&&o(f),A(j)}else o(f);v=n(f)}if(v!==null)W=!0;else{var I=n(m);I!==null&&G(M,I.startTime-j),W=!1}}break e}finally{v=null,x=J,C=!1}W=void 0}}finally{W?E():_=!1}}}var E;if(typeof R=="function")E=function(){R(q)};else if(typeof MessageChannel<"u"){var F=new MessageChannel,L=F.port2;F.port1.onmessage=q,E=function(){L.postMessage(null)}}else E=function(){k(q,0)};function G(j,W){$=k(function(){j(e.unstable_now())},W)}e.unstable_IdlePriority=5,e.unstable_ImmediatePriority=1,e.unstable_LowPriority=4,e.unstable_NormalPriority=3,e.unstable_Profiling=null,e.unstable_UserBlockingPriority=2,e.unstable_cancelCallback=function(j){j.callback=null},e.unstable_forceFrameRate=function(j){0>j||125<j?console.error("forceFrameRate takes a positive int between 0 and 125, forcing frame rates higher than 125 fps is not supported"):z=0<j?Math.floor(1e3/j):5},e.unstable_getCurrentPriorityLevel=function(){return x},e.unstable_next=function(j){switch(x){case 1:case 2:case 3:var W=3;break;default:W=x}var J=x;x=W;try{return j()}finally{x=J}},e.unstable_requestPaint=function(){T=!0},e.unstable_runWithPriority=function(j,W){switch(j){case 1:case 2:case 3:case 4:case 5:break;default:j=3}var J=x;x=j;try{return W()}finally{x=J}},e.unstable_scheduleCallback=function(j,W,J){var X=e.unstable_now();switch(typeof J=="object"&&J!==null?(J=J.delay,J=typeof J=="number"&&0<J?X+J:X):J=X,j){case 1:var N=-1;break;case 2:N=250;break;case 5:N=1073741823;break;case 4:N=1e4;break;default:N=5e3}return N=J+N,j={id:g++,callback:W,priorityLevel:j,startTime:J,expirationTime:N,sortIndex:-1},J>X?(j.sortIndex=J,t(m,j),n(f)===null&&j===n(m)&&(S?(P($),$=-1):S=!0,G(M,J-X))):(j.sortIndex=N,t(f,j),w||C||(w=!0,_||(_=!0,E()))),j},e.unstable_shouldYield=U,e.unstable_wrapCallback=function(j){var W=x;return function(){var J=x;x=W;try{return j.apply(this,arguments)}finally{x=J}}}})(Fm)),Fm}var hS;function KA(){return hS||(hS=1,Um.exports=ZA()),Um.exports}var Hm={exports:{}},dr={};/**
+ */var pS;function ZA(){return pS||(pS=1,(function(e){function t(j,W){var J=j.length;j.push(W);e:for(;0<J;){var X=J-1>>>1,N=j[X];if(0<i(N,W))j[X]=W,j[J]=N,J=X;else break e}}function n(j){return j.length===0?null:j[0]}function o(j){if(j.length===0)return null;var W=j[0],J=j.pop();if(J!==W){j[0]=J;e:for(var X=0,N=j.length,I=N>>>1;X<I;){var H=2*(X+1)-1,Z=j[H],te=H+1,ce=j[te];if(0>i(Z,J))te<N&&0>i(ce,Z)?(j[X]=ce,j[te]=J,X=te):(j[X]=Z,j[H]=J,X=H);else if(te<N&&0>i(ce,J))j[X]=ce,j[te]=J,X=te;else break e}}return W}function i(j,W){var J=j.sortIndex-W.sortIndex;return J!==0?J:j.id-W.id}if(e.unstable_now=void 0,typeof performance=="object"&&typeof performance.now=="function"){var l=performance;e.unstable_now=function(){return l.now()}}else{var c=Date,d=c.now();e.unstable_now=function(){return c.now()-d}}var f=[],m=[],g=1,v=null,x=3,C=!1,w=!1,S=!1,T=!1,k=typeof setTimeout=="function"?setTimeout:null,P=typeof clearTimeout=="function"?clearTimeout:null,R=typeof setImmediate<"u"?setImmediate:null;function A(j){for(var W=n(m);W!==null;){if(W.callback===null)o(m);else if(W.startTime<=j)o(m),W.sortIndex=W.expirationTime,t(f,W);else break;W=n(m)}}function M(j){if(S=!1,A(j),!w)if(n(f)!==null)w=!0,_||(_=!0,E());else{var W=n(m);W!==null&&G(M,W.startTime-j)}}var _=!1,$=-1,z=5,B=-1;function U(){return T?!0:!(e.unstable_now()-B<z)}function q(){if(T=!1,_){var j=e.unstable_now();B=j;var W=!0;try{e:{w=!1,S&&(S=!1,P($),$=-1),C=!0;var J=x;try{t:{for(A(j),v=n(f);v!==null&&!(v.expirationTime>j&&U());){var X=v.callback;if(typeof X=="function"){v.callback=null,x=v.priorityLevel;var N=X(v.expirationTime<=j);if(j=e.unstable_now(),typeof N=="function"){v.callback=N,A(j),W=!0;break t}v===n(f)&&o(f),A(j)}else o(f);v=n(f)}if(v!==null)W=!0;else{var I=n(m);I!==null&&G(M,I.startTime-j),W=!1}}break e}finally{v=null,x=J,C=!1}W=void 0}}finally{W?E():_=!1}}}var E;if(typeof R=="function")E=function(){R(q)};else if(typeof MessageChannel<"u"){var F=new MessageChannel,L=F.port2;F.port1.onmessage=q,E=function(){L.postMessage(null)}}else E=function(){k(q,0)};function G(j,W){$=k(function(){j(e.unstable_now())},W)}e.unstable_IdlePriority=5,e.unstable_ImmediatePriority=1,e.unstable_LowPriority=4,e.unstable_NormalPriority=3,e.unstable_Profiling=null,e.unstable_UserBlockingPriority=2,e.unstable_cancelCallback=function(j){j.callback=null},e.unstable_forceFrameRate=function(j){0>j||125<j?console.error("forceFrameRate takes a positive int between 0 and 125, forcing frame rates higher than 125 fps is not supported"):z=0<j?Math.floor(1e3/j):5},e.unstable_getCurrentPriorityLevel=function(){return x},e.unstable_next=function(j){switch(x){case 1:case 2:case 3:var W=3;break;default:W=x}var J=x;x=W;try{return j()}finally{x=J}},e.unstable_requestPaint=function(){T=!0},e.unstable_runWithPriority=function(j,W){switch(j){case 1:case 2:case 3:case 4:case 5:break;default:j=3}var J=x;x=j;try{return W()}finally{x=J}},e.unstable_scheduleCallback=function(j,W,J){var X=e.unstable_now();switch(typeof J=="object"&&J!==null?(J=J.delay,J=typeof J=="number"&&0<J?X+J:X):J=X,j){case 1:var N=-1;break;case 2:N=250;break;case 5:N=1073741823;break;case 4:N=1e4;break;default:N=5e3}return N=J+N,j={id:g++,callback:W,priorityLevel:j,startTime:J,expirationTime:N,sortIndex:-1},J>X?(j.sortIndex=J,t(m,j),n(f)===null&&j===n(m)&&(S?(P($),$=-1):S=!0,G(M,J-X))):(j.sortIndex=N,t(f,j),w||C||(w=!0,_||(_=!0,E()))),j},e.unstable_shouldYield=U,e.unstable_wrapCallback=function(j){var W=x;return function(){var J=x;x=W;try{return j.apply(this,arguments)}finally{x=J}}}})(Fm)),Fm}var hS;function KA(){return hS||(hS=1,Um.exports=ZA()),Um.exports}var Hm={exports:{}},fr={};/**
  * @license React
  * react-dom.production.js
  *
@@ -30,7 +30,7 @@ function qA(e,t){for(var n=0;n<t.length;n++){const o=t[n];if(typeof o!="string"&
  *
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
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   0% {
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this.getObserversCount()>0?this.observers.some(e=>e.getCurrentResult().isStale):this.state.data===void 0||this.state.isInvalidated}isStaleByTime(e=0){return this.state.data===void 0?!0:e==="static"?!1:this.state.isInvalidated?!0:!a2(this.state.dataUpdatedAt,e)}onFocus(){this.observers.find(t=>t.shouldFetchOnWindowFocus())?.refetch({cancelRefetch:!1}),this.#r?.continue()}onOnline(){this.observers.find(t=>t.shouldFetchOnReconnect())?.refetch({cancelRefetch:!1}),this.#r?.continue()}addObserver(e){this.observers.includes(e)||(this.observers.push(e),this.clearGcTimeout(),this.#n.notify({type:"observerAdded",query:this,observer:e}))}removeObserver(e){this.observers.includes(e)&&(this.observers=this.observers.filter(t=>t!==e),this.observers.length||(this.#r&&(this.#i?this.#r.cancel({revert:!0}):this.#r.cancelRetry()),this.scheduleGc()),this.#n.notify({type:"observerRemoved",query:this,observer:e}))}getObserversCount(){return this.observers.length}invalidate(){this.state.isInvalidated||this.#a({type:"invalidate"})}async fetch(e,t){if(this.state.fetchStatus!=="idle"&&this.#r?.status()!=="rejected"){if(this.state.data!==void 0&&t?.cancelRefetch)this.cancel({silent:!0});else if(this.#r)return this.#r.continueRetry(),this.#r.promise}if(e&&this.setOptions(e),!this.options.queryFn){const d=this.observers.find(f=>f.options.queryFn);d&&this.setOptions(d.options)}const n=new AbortController,o=d=>{Object.defineProperty(d,"signal",{enumerable:!0,get:()=>(this.#i=!0,n.signal)})},i=()=>{const d=s2(this.options,t),m=(()=>{const g={client:this.#o,queryKey:this.queryKey,meta:this.meta};return o(g),g})();return this.#i=!1,this.options.persister?this.options.persister(d,m,this):d(m)},c=(()=>{const d={fetchOptions:t,options:this.options,queryKey:this.queryKey,client:this.#o,state:this.state,fetchFn:i};return o(d),d})();this.options.behavior?.onFetch(c,this),this.#t=this.state,(this.state.fetchStatus==="idle"||this.state.fetchMeta!==c.fetchOptions?.meta)&&this.#a({type:"fetch",meta:c.fetchOptions?.meta}),this.#r=c2({initialPromise:t?.initialPromise,fn:c.fetchFn,onCancel:d=>{d instanceof ty&&d.revert&&this.setState({...this.#t,fetchStatus:"idle"}),n.abort()},onFail:(d,f)=>{this.#a({type:"failed",failureCount:d,error:f})},onPause:()=>{this.#a({type:"pause"})},onContinue:()=>{this.#a({type:"continue"})},retry:c.options.retry,retryDelay:c.options.retryDelay,networkMode:c.options.networkMode,canRun:()=>!0});try{const d=await this.#r.start();if(d===void 0)throw new Error(`${this.queryHash} data is undefined`);return this.setData(d),this.#n.config.onSuccess?.(d,this),this.#n.config.onSettled?.(d,this.state.error,this),d}catch(d){if(d instanceof ty){if(d.silent)return this.#r.promise;if(d.revert){if(this.state.data===void 0)throw d;return this.state.data}}throw this.#a({type:"error",error:d}),this.#n.config.onError?.(d,this),this.#n.config.onSettled?.(this.state.data,d,this),d}finally{this.scheduleGc()}}#a(e){const t=n=>{switch(e.type){case"failed":return{...n,fetchFailureCount:e.failureCount,fetchFailureReason:e.error};case"pause":return{...n,fetchStatus:"paused"};case"continue":return{...n,fetchStatus:"fetching"};case"fetch":return{...n,...d2(n.data,this.options),fetchMeta:e.meta??null};case"success":const o={...n,data:e.data,dataUpdateCount:n.dataUpdateCount+1,dataUpdatedAt:e.dataUpdatedAt??Date.now(),error:null,isInvalidated:!1,status:"success",...!e.manual&&{fetchStatus:"idle",fetchFailureCount:0,fetchFailureReason:null}};return this.#t=e.manual?o:void 0,o;case"error":const i=e.error;return{...n,error:i,errorUpdateCount:n.errorUpdateCount+1,errorUpdatedAt:Date.now(),fetchFailureCount:n.fetchFailureCount+1,fetchFailureReason:i,fetchStatus:"idle",status:"error"};case"invalidate":return{...n,isInvalidated:!0};case"setState":return{...n,...e.state}}};this.state=t(this.state),cr.batch(()=>{this.observers.forEach(n=>{n.onQueryUpdate()}),this.#n.notify({query:this,type:"updated",action:e})})}};function d2(e,t){return{fetchFailureCount:0,fetchFailureReason:null,fetchStatus:l2(t.networkMode)?"fetching":"paused",...e===void 0&&{error:null,status:"pending"}}}function aC(e){const t=typeof e.initialData=="function"?e.initialData():e.initialData,n=t!==void 0,o=n?typeof e.initialDataUpdatedAt=="function"?e.initialDataUpdatedAt():e.initialDataUpdatedAt:0;return{data:t,dataUpdateCount:0,dataUpdatedAt:n?o??Date.now():0,error:null,errorUpdateCount:0,errorUpdatedAt:0,fetchFailureCount:0,fetchFailureReason:null,fetchMeta:null,isInvalidated:!1,status:n?"success":"pending",fetchStatus:"idle"}}var SI=class extends yu{constructor(e,t){super(),this.options=t,this.#e=e,this.#a=null,this.#i=ey(),this.bindMethods(),this.setOptions(t)}#e;#t=void 0;#n=void 0;#o=void 0;#r;#s;#i;#a;#m;#f;#p;#c;#u;#l;#h=new Set;bindMethods(){this.refetch=this.refetch.bind(this)}onSubscribe(){this.listeners.size===1&&(this.#t.addObserver(this),iC(this.#t,this.options)?this.#d():this.updateResult(),this.#b())}onUnsubscribe(){this.hasListeners()||this.destroy()}shouldFetchOnReconnect(){return ny(this.#t,this.options,this.options.refetchOnReconnect)}shouldFetchOnWindowFocus(){return ny(this.#t,this.options,this.options.refetchOnWindowFocus)}destroy(){this.listeners=new Set,this.#x(),this.#S(),this.#t.removeObserver(this)}setOptions(e){const t=this.options,n=this.#t;if(this.options=this.#e.defaultQueryOptions(e),this.options.enabled!==void 0&&typeof this.options.enabled!="boolean"&&typeof this.options.enabled!="function"&&typeof po(this.options.enabled,this.#t)!="boolean")throw new Error("Expected enabled to be a boolean or a callback that returns a boolean");this.#C(),this.#t.setOptions(this.options),t._defaulted&&!Xg(this.options,t)&&this.#e.getQueryCache().notify({type:"observerOptionsUpdated",query:this.#t,observer:this});const o=this.hasListeners();o&&sC(this.#t,n,this.options,t)&&this.#d(),this.updateResult(),o&&(this.#t!==n||po(this.options.enabled,this.#t)!==po(t.enabled,this.#t)||ti(this.options.staleTime,this.#t)!==ti(t.staleTime,this.#t))&&this.#g();const i=this.#y();o&&(this.#t!==n||po(this.options.enabled,this.#t)!==po(t.enabled,this.#t)||i!==this.#l)&&this.#v(i)}getOptimisticResult(e){const t=this.#e.getQueryCache().build(this.#e,e),n=this.createResult(t,e);return wI(this,n)&&(this.#o=n,this.#s=this.options,this.#r=this.#t.state),n}getCurrentResult(){return this.#o}trackResult(e,t){return new Proxy(e,{get:(n,o)=>(this.trackProp(o),t?.(o),o==="promise"&&!this.options.experimental_prefetchInRender&&this.#i.status==="pending"&&this.#i.reject(new Error("experimental_prefetchInRender feature flag is not enabled")),Reflect.get(n,o))})}trackProp(e){this.#h.add(e)}getCurrentQuery(){return this.#t}refetch({...e}={}){return this.fetch({...e})}fetchOptimistic(e){const t=this.#e.defaultQueryOptions(e),n=this.#e.getQueryCache().build(this.#e,t);return n.fetch().then(()=>this.createResult(n,t))}fetch(e){return this.#d({...e,cancelRefetch:e.cancelRefetch??!0}).then(()=>(this.updateResult(),this.#o))}#d(e){this.#C();let t=this.#t.fetch(this.options,e);return e?.throwOnError||(t=t.catch(kr)),t}#g(){this.#x();const e=ti(this.options.staleTime,this.#t);if(Wi||this.#o.isStale||!Yg(e))return;const n=a2(this.#o.dataUpdatedAt,e)+1;this.#c=Ni.setTimeout(()=>{this.#o.isStale||this.updateResult()},n)}#y(){return(typeof this.options.refetchInterval=="function"?this.options.refetchInterval(this.#t):this.options.refetchInterval)??!1}#v(e){this.#S(),this.#l=e,!(Wi||po(this.options.enabled,this.#t)===!1||!Yg(this.#l)||this.#l===0)&&(this.#u=Ni.setInterval(()=>{(this.options.refetchIntervalInBackground||nv.isFocused())&&this.#d()},this.#l))}#b(){this.#g(),this.#v(this.#y())}#x(){this.#c&&(Ni.clearTimeout(this.#c),this.#c=void 0)}#S(){this.#u&&(Ni.clearInterval(this.#u),this.#u=void 0)}createResult(e,t){const n=this.#t,o=this.options,i=this.#o,l=this.#r,c=this.#s,f=e!==n?e.state:this.#n,{state:m}=e;let g={...m},v=!1,x;if(t._optimisticResults){const z=this.hasListeners(),B=!z&&iC(e,t),U=z&&sC(e,n,t,o);(B||U)&&(g={...g,...d2(m.data,e.options)}),t._optimisticResults==="isRestoring"&&(g.fetchStatus="idle")}let{error:C,errorUpdatedAt:w,status:S}=g;x=g.data;let T=!1;if(t.placeholderData!==void 0&&x===void 0&&S==="pending"){let z;i?.isPlaceholderData&&t.placeholderData===c?.placeholderData?(z=i.data,T=!0):z=typeof t.placeholderData=="function"?t.placeholderData(this.#p?.state.data,this.#p):t.placeholderData,z!==void 0&&(S="success",x=Jg(i?.data,z,t),v=!0)}if(t.select&&x!==void 0&&!T)if(i&&x===l?.data&&t.select===this.#m)x=this.#f;else try{this.#m=t.select,x=t.select(x),x=Jg(i?.data,x,t),this.#f=x,this.#a=null}catch(z){this.#a=z}this.#a&&(C=this.#a,x=this.#f,w=Date.now(),S="error");const k=g.fetchStatus==="fetching",P=S==="pending",R=S==="error",A=P&&k,M=x!==void 0,$={status:S,fetchStatus:g.fetchStatus,isPending:P,isSuccess:S==="success",isError:R,isInitialLoading:A,isLoading:A,data:x,dataUpdatedAt:g.dataUpdatedAt,error:C,errorUpdatedAt:w,failureCount:g.fetchFailureCount,failureReason:g.fetchFailureReason,errorUpdateCount:g.errorUpdateCount,isFetched:g.dataUpdateCount>0||g.errorUpdateCount>0,isFetchedAfterMount:g.dataUpdateCount>f.dataUpdateCount||g.errorUpdateCount>f.errorUpdateCount,isFetching:k,isRefetching:k&&!P,isLoadingError:R&&!M,isPaused:g.fetchStatus==="paused",isPlaceholderData:v,isRefetchError:R&&M,isStale:rv(e,t),refetch:this.refetch,promise:this.#i,isEnabled:po(t.enabled,e)!==!1};if(this.options.experimental_prefetchInRender){const z=q=>{$.status==="error"?q.reject($.error):$.data!==void 0&&q.resolve($.data)},B=()=>{const q=this.#i=$.promise=ey();z(q)},U=this.#i;switch(U.status){case"pending":e.queryHash===n.queryHash&&z(U);break;case"fulfilled":($.status==="error"||$.data!==U.value)&&B();break;case"rejected":($.status!=="error"||$.error!==U.reason)&&B();break}}return $}updateResult(){const e=this.#o,t=this.createResult(this.#t,this.options);if(this.#r=this.#t.state,this.#s=this.options,this.#r.data!==void 0&&(this.#p=this.#t),Xg(t,e))return;this.#o=t;const n=()=>{if(!e)return!0;const{notifyOnChangeProps:o}=this.options,i=typeof o=="function"?o():o;if(i==="all"||!i&&!this.#h.size)return!0;const l=new Set(i??this.#h);return this.options.throwOnError&&l.add("error"),Object.keys(this.#o).some(c=>{const d=c;return this.#o[d]!==e[d]&&l.has(d)})};this.#w({listeners:n()})}#C(){const e=this.#e.getQueryCache().build(this.#e,this.options);if(e===this.#t)return;const t=this.#t;this.#t=e,this.#n=e.state,this.hasListeners()&&(t?.removeObserver(this),e.addObserver(this))}onQueryUpdate(){this.updateResult(),this.hasListeners()&&this.#b()}#w(e){cr.batch(()=>{e.listeners&&this.listeners.forEach(t=>{t(this.#o)}),this.#e.getQueryCache().notify({query:this.#t,type:"observerResultsUpdated"})})}};function CI(e,t){return po(t.enabled,e)!==!1&&e.state.data===void 0&&!(e.state.status==="error"&&t.retryOnMount===!1)}function iC(e,t){return CI(e,t)||e.state.data!==void 0&&ny(e,t,t.refetchOnMount)}function ny(e,t,n){if(po(t.enabled,e)!==!1&&ti(t.staleTime,e)!=="static"){const o=typeof n=="function"?n(e):n;return o==="always"||o!==!1&&rv(e,t)}return!1}function sC(e,t,n,o){return(e!==t||po(o.enabled,e)===!1)&&(!n.suspense||e.state.status!=="error")&&rv(e,n)}function rv(e,t){return po(t.enabled,e)!==!1&&e.isStaleByTime(ti(t.staleTime,e))}function wI(e,t){return!Xg(e.getCurrentResult(),t)}function lC(e){return{onFetch:(t,n)=>{const o=t.options,i=t.fetchOptions?.meta?.fetchMore?.direction,l=t.state.data?.pages||[],c=t.state.data?.pageParams||[];let d={pages:[],pageParams:[]},f=0;const m=async()=>{let g=!1;const v=w=>{Object.defineProperty(w,"signal",{enumerable:!0,get:()=>(t.signal.aborted?g=!0:t.signal.addEventListener("abort",()=>{g=!0}),t.signal)})},x=s2(t.options,t.fetchOptions),C=async(w,S,T)=>{if(g)return Promise.reject();if(S==null&&w.pages.length)return Promise.resolve(w);const P=(()=>{const _={client:t.client,queryKey:t.queryKey,pageParam:S,direction:T?"backward":"forward",meta:t.options.meta};return v(_),_})(),R=await x(P),{maxPages:A}=t.options,M=T?pI:fI;return{pages:M(w.pages,R,A),pageParams:M(w.pageParams,S,A)}};if(i&&l.length){const w=i==="backward",S=w?RI:cC,T={pages:l,pageParams:c},k=S(o,T);d=await C(T,k,w)}else{const w=e??l.length;do{const S=f===0?c[0]??o.initialPageParam:cC(o,d);if(f>0&&S==null)break;d=await C(d,S),f++}while(f<w)}return d};t.options.persister?t.fetchFn=()=>t.options.persister?.(m,{client:t.client,queryKey:t.queryKey,meta:t.options.meta,signal:t.signal},n):t.fetchFn=m}}}function cC(e,{pages:t,pageParams:n}){const o=t.length-1;return t.length>0?e.getNextPageParam(t[o],t,n[o],n):void 0}function RI(e,{pages:t,pageParams:n}){return t.length>0?e.getPreviousPageParam?.(t[0],t,n[0],n):void 0}var TI=class extends u2{#e;#t;#n;#o;constructor(e){super(),this.#e=e.client,this.mutationId=e.mutationId,this.#n=e.mutationCache,this.#t=[],this.state=e.state||EI(),this.setOptions(e.options),this.scheduleGc()}setOptions(e){this.options=e,this.updateGcTime(this.options.gcTime)}get meta(){return this.options.meta}addObserver(e){this.#t.includes(e)||(this.#t.push(e),this.clearGcTimeout(),this.#n.notify({type:"observerAdded",mutation:this,observer:e}))}removeObserver(e){this.#t=this.#t.filter(t=>t!==e),this.scheduleGc(),this.#n.notify({type:"observerRemoved",mutation:this,observer:e})}optionalRemove(){this.#t.length||(this.state.status==="pending"?this.scheduleGc():this.#n.remove(this))}continue(){return this.#o?.continue()??this.execute(this.state.variables)}async execute(e){const t=()=>{this.#r({type:"continue"})},n={client:this.#e,meta:this.options.meta,mutationKey:this.options.mutationKey};this.#o=c2({fn:()=>this.options.mutationFn?this.options.mutationFn(e,n):Promise.reject(new Error("No mutationFn found")),onFail:(l,c)=>{this.#r({type:"failed",failureCount:l,error:c})},onPause:()=>{this.#r({type:"pause"})},onContinue:t,retry:this.options.retry??0,retryDelay:this.options.retryDelay,networkMode:this.options.networkMode,canRun:()=>this.#n.canRun(this)});const o=this.state.status==="pending",i=!this.#o.canStart();try{if(o)t();else{this.#r({type:"pending",variables:e,isPaused:i}),await this.#n.config.onMutate?.(e,this,n);const c=await this.options.onMutate?.(e,n);c!==this.state.context&&this.#r({type:"pending",context:c,variables:e,isPaused:i})}const l=await this.#o.start();return await this.#n.config.onSuccess?.(l,e,this.state.context,this,n),await this.options.onSuccess?.(l,e,this.state.context,n),await this.#n.config.onSettled?.(l,null,this.state.variables,this.state.context,this,n),await this.options.onSettled?.(l,null,e,this.state.context,n),this.#r({type:"success",data:l}),l}catch(l){try{throw await this.#n.config.onError?.(l,e,this.state.context,this,n),await this.options.onError?.(l,e,this.state.context,n),await this.#n.config.onSettled?.(void 0,l,this.state.variables,this.state.context,this,n),await this.options.onSettled?.(void 0,l,e,this.state.context,n),l}finally{this.#r({type:"error",error:l})}}finally{this.#n.runNext(this)}}#r(e){const t=n=>{switch(e.type){case"failed":return{...n,failureCount:e.failureCount,failureReason:e.error};case"pause":return{...n,isPaused:!0};case"continue":return{...n,isPaused:!1};case"pending":return{...n,context:e.context,data:void 0,failureCount:0,failureReason:null,error:null,isPaused:e.isPaused,status:"pending",variables:e.variables,submittedAt:Date.now()};case"success":return{...n,data:e.data,failureCount:0,failureReason:null,error:null,status:"success",isPaused:!1};case"error":return{...n,data:void 0,error:e.error,failureCount:n.failureCount+1,failureReason:e.error,isPaused:!1,status:"error"}}};this.state=t(this.state),cr.batch(()=>{this.#t.forEach(n=>{n.onMutationUpdate(e)}),this.#n.notify({mutation:this,type:"updated",action:e})})}};function EI(){return{context:void 0,data:void 0,error:null,failureCount:0,failureReason:null,isPaused:!1,status:"idle",variables:void 0,submittedAt:0}}var AI=class extends yu{constructor(e={}){super(),this.config=e,this.#e=new Set,this.#t=new Map,this.#n=0}#e;#t;#n;build(e,t,n){const o=new TI({client:e,mutationCache:this,mutationId:++this.#n,options:e.defaultMutationOptions(t),state:n});return this.add(o),o}add(e){this.#e.add(e);const t=Xd(e);if(typeof t=="string"){const n=this.#t.get(t);n?n.push(e):this.#t.set(t,[e])}this.notify({type:"added",mutation:e})}remove(e){if(this.#e.delete(e)){const t=Xd(e);if(typeof t=="string"){const n=this.#t.get(t);if(n)if(n.length>1){const o=n.indexOf(e);o!==-1&&n.splice(o,1)}else n[0]===e&&this.#t.delete(t)}}this.notify({type:"removed",mutation:e})}canRun(e){const t=Xd(e);if(typeof t=="string"){const o=this.#t.get(t)?.find(i=>i.state.status==="pending");return!o||o===e}else return!0}runNext(e){const t=Xd(e);return typeof t=="string"?this.#t.get(t)?.find(o=>o!==e&&o.state.isPaused)?.continue()??Promise.resolve():Promise.resolve()}clear(){cr.batch(()=>{this.#e.forEach(e=>{this.notify({type:"removed",mutation:e})}),this.#e.clear(),this.#t.clear()})}getAll(){return Array.from(this.#e)}find(e){const t={exact:!0,...e};return this.getAll().find(n=>nC(t,n))}findAll(e={}){return this.getAll().filter(t=>nC(e,t))}notify(e){cr.batch(()=>{this.listeners.forEach(t=>{t(e)})})}resumePausedMutations(){const e=this.getAll().filter(t=>t.state.isPaused);return cr.batch(()=>Promise.all(e.map(t=>t.continue().catch(kr))))}};function Xd(e){return e.options.scope?.id}var kI=class extends yu{constructor(e={}){super(),this.config=e,this.#e=new Map}#e;build(e,t,n){const o=t.queryKey,i=t.queryHash??ev(o,t);let l=this.get(i);return l||(l=new xI({client:e,queryKey:o,queryHash:i,options:e.defaultQueryOptions(t),state:n,defaultOptions:e.getQueryDefaults(o)}),this.add(l)),l}add(e){this.#e.has(e.queryHash)||(this.#e.set(e.queryHash,e),this.notify({type:"added",query:e}))}remove(e){const t=this.#e.get(e.queryHash);t&&(e.destroy(),t===e&&this.#e.delete(e.queryHash),this.notify({type:"removed",query:e}))}clear(){cr.batch(()=>{this.getAll().forEach(e=>{this.remove(e)})})}get(e){return this.#e.get(e)}getAll(){return[...this.#e.values()]}find(e){const t={exact:!0,...e};return this.getAll().find(n=>tC(t,n))}findAll(e={}){const t=this.getAll();return Object.keys(e).length>0?t.filter(n=>tC(e,n)):t}notify(e){cr.batch(()=>{this.listeners.forEach(t=>{t(e)})})}onFocus(){cr.batch(()=>{this.getAll().forEach(e=>{e.onFocus()})})}onOnline(){cr.batch(()=>{this.getAll().forEach(e=>{e.onOnline()})})}},OI=class{#e;#t;#n;#o;#r;#s;#i;#a;constructor(e={}){this.#e=e.queryCache||new kI,this.#t=e.mutationCache||new 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o=t.options,i=t.fetchOptions?.meta?.fetchMore?.direction,l=t.state.data?.pages||[],c=t.state.data?.pageParams||[];let d={pages:[],pageParams:[]},f=0;const m=async()=>{let g=!1;const v=w=>{Object.defineProperty(w,"signal",{enumerable:!0,get:()=>(t.signal.aborted?g=!0:t.signal.addEventListener("abort",()=>{g=!0}),t.signal)})},x=s2(t.options,t.fetchOptions),C=async(w,S,T)=>{if(g)return Promise.reject();if(S==null&&w.pages.length)return Promise.resolve(w);const P=(()=>{const _={client:t.client,queryKey:t.queryKey,pageParam:S,direction:T?"backward":"forward",meta:t.options.meta};return v(_),_})(),R=await x(P),{maxPages:A}=t.options,M=T?pI:fI;return{pages:M(w.pages,R,A),pageParams:M(w.pageParams,S,A)}};if(i&&l.length){const w=i==="backward",S=w?RI:cC,T={pages:l,pageParams:c},k=S(o,T);d=await C(T,k,w)}else{const w=e??l.length;do{const S=f===0?c[0]??o.initialPageParam:cC(o,d);if(f>0&&S==null)break;d=await C(d,S),f++}while(f<w)}return d};t.options.persister?t.fetchFn=()=>t.options.persister?.(m,{client:t.client,queryKey:t.queryKey,meta:t.options.meta,signal:t.signal},n):t.fetchFn=m}}}function cC(e,{pages:t,pageParams:n}){const o=t.length-1;return t.length>0?e.getNextPageParam(t[o],t,n[o],n):void 0}function RI(e,{pages:t,pageParams:n}){return t.length>0?e.getPreviousPageParam?.(t[0],t,n[0],n):void 0}var TI=class extends u2{#e;#t;#n;#o;constructor(e){super(),this.#e=e.client,this.mutationId=e.mutationId,this.#n=e.mutationCache,this.#t=[],this.state=e.state||EI(),this.setOptions(e.options),this.scheduleGc()}setOptions(e){this.options=e,this.updateGcTime(this.options.gcTime)}get meta(){return this.options.meta}addObserver(e){this.#t.includes(e)||(this.#t.push(e),this.clearGcTimeout(),this.#n.notify({type:"observerAdded",mutation:this,observer:e}))}removeObserver(e){this.#t=this.#t.filter(t=>t!==e),this.scheduleGc(),this.#n.notify({type:"observerRemoved",mutation:this,observer:e})}optionalRemove(){this.#t.length||(this.state.status==="pending"?this.scheduleGc():this.#n.remove(this))}continue(){return this.#o?.continue()??this.execute(this.state.variables)}async execute(e){const t=()=>{this.#r({type:"continue"})},n={client:this.#e,meta:this.options.meta,mutationKey:this.options.mutationKey};this.#o=c2({fn:()=>this.options.mutationFn?this.options.mutationFn(e,n):Promise.reject(new Error("No mutationFn found")),onFail:(l,c)=>{this.#r({type:"failed",failureCount:l,error:c})},onPause:()=>{this.#r({type:"pause"})},onContinue:t,retry:this.options.retry??0,retryDelay:this.options.retryDelay,networkMode:this.options.networkMode,canRun:()=>this.#n.canRun(this)});const o=this.state.status==="pending",i=!this.#o.canStart();try{if(o)t();else{this.#r({type:"pending",variables:e,isPaused:i}),await this.#n.config.onMutate?.(e,this,n);const c=await this.options.onMutate?.(e,n);c!==this.state.context&&this.#r({type:"pending",context:c,variables:e,isPaused:i})}const l=await this.#o.start();return await this.#n.config.onSuccess?.(l,e,this.state.context,this,n),await this.options.onSuccess?.(l,e,this.state.context,n),await this.#n.config.onSettled?.(l,null,this.state.variables,this.state.context,this,n),await this.options.onSettled?.(l,null,e,this.state.context,n),this.#r({type:"success",data:l}),l}catch(l){try{throw await this.#n.config.onError?.(l,e,this.state.context,this,n),await this.options.onError?.(l,e,this.state.context,n),await this.#n.config.onSettled?.(void 0,l,this.state.variables,this.state.context,this,n),await this.options.onSettled?.(void 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t=="string"?this.#t.get(t)?.find(o=>o!==e&&o.state.isPaused)?.continue()??Promise.resolve():Promise.resolve()}clear(){ur.batch(()=>{this.#e.forEach(e=>{this.notify({type:"removed",mutation:e})}),this.#e.clear(),this.#t.clear()})}getAll(){return Array.from(this.#e)}find(e){const t={exact:!0,...e};return this.getAll().find(n=>nC(t,n))}findAll(e={}){return this.getAll().filter(t=>nC(e,t))}notify(e){ur.batch(()=>{this.listeners.forEach(t=>{t(e)})})}resumePausedMutations(){const e=this.getAll().filter(t=>t.state.isPaused);return ur.batch(()=>Promise.all(e.map(t=>t.continue().catch(kr))))}};function Xd(e){return e.options.scope?.id}var kI=class extends yu{constructor(e={}){super(),this.config=e,this.#e=new Map}#e;build(e,t,n){const o=t.queryKey,i=t.queryHash??ev(o,t);let l=this.get(i);return l||(l=new xI({client:e,queryKey:o,queryHash:i,options:e.defaultQueryOptions(t),state:n,defaultOptions:e.getQueryDefaults(o)}),this.add(l)),l}add(e){this.#e.has(e.queryHash)||(this.#e.set(e.queryHash,e),this.notify({type:"added",query:e}))}remove(e){const t=this.#e.get(e.queryHash);t&&(e.destroy(),t===e&&this.#e.delete(e.queryHash),this.notify({type:"removed",query:e}))}clear(){ur.batch(()=>{this.getAll().forEach(e=>{this.remove(e)})})}get(e){return this.#e.get(e)}getAll(){return[...this.#e.values()]}find(e){const t={exact:!0,...e};return this.getAll().find(n=>tC(t,n))}findAll(e={}){const t=this.getAll();return Object.keys(e).length>0?t.filter(n=>tC(e,n)):t}notify(e){ur.batch(()=>{this.listeners.forEach(t=>{t(e)})})}onFocus(){ur.batch(()=>{this.getAll().forEach(e=>{e.onFocus()})})}onOnline(){ur.batch(()=>{this.getAll().forEach(e=>{e.onOnline()})})}},OI=class{#e;#t;#n;#o;#r;#s;#i;#a;constructor(e={}){this.#e=e.queryCache||new kI,this.#t=e.mutationCache||new AI,this.#n=e.defaultOptions||{},this.#o=new Map,this.#r=new Map,this.#s=0}mount(){this.#s++,this.#s===1&&(this.#i=nv.subscribe(async e=>{e&&(await this.resumePausedMutations(),this.#e.onFocus())}),this.#a=Lf.subscribe(async e=>{e&&(await this.resumePausedMutations(),this.#e.onOnline())}))}unmount(){this.#s--,this.#s===0&&(this.#i?.(),this.#i=void 0,this.#a?.(),this.#a=void 0)}isFetching(e){return this.#e.findAll({...e,fetchStatus:"fetching"}).length}isMutating(e){return this.#t.findAll({...e,status:"pending"}).length}getQueryData(e){const t=this.defaultQueryOptions({queryKey:e});return this.#e.get(t.queryHash)?.state.data}ensureQueryData(e){const t=this.defaultQueryOptions(e),n=this.#e.build(this,t),o=n.state.data;return o===void 0?this.fetchQuery(e):(e.revalidateIfStale&&n.isStaleByTime(ti(t.staleTime,n))&&this.prefetchQuery(t),Promise.resolve(o))}getQueriesData(e){return this.#e.findAll(e).map(({queryKey:t,state:n})=>{const o=n.data;return[t,o]})}setQueryData(e,t,n){const o=this.defaultQueryOptions({queryKey:e}),l=this.#e.get(o.queryHash)?.state.data,c=cI(t,l);if(c!==void 0)return this.#e.build(this,o).setData(c,{...n,manual:!0})}setQueriesData(e,t,n){return ur.batch(()=>this.#e.findAll(e).map(({queryKey:o})=>[o,this.setQueryData(o,t,n)]))}getQueryState(e){const t=this.defaultQueryOptions({queryKey:e});return this.#e.get(t.queryHash)?.state}removeQueries(e){const t=this.#e;ur.batch(()=>{t.findAll(e).forEach(n=>{t.remove(n)})})}resetQueries(e,t){const n=this.#e;return ur.batch(()=>(n.findAll(e).forEach(o=>{o.reset()}),this.refetchQueries({type:"active",...e},t)))}cancelQueries(e,t={}){const n={revert:!0,...t},o=ur.batch(()=>this.#e.findAll(e).map(i=>i.cancel(n)));return Promise.all(o).then(kr).catch(kr)}invalidateQueries(e,t={}){return ur.batch(()=>(this.#e.findAll(e).forEach(n=>{n.invalidate()}),e?.refetchType==="none"?Promise.resolve():this.refetchQueries({...e,type:e?.refetchType??e?.type??"active"},t)))}refetchQueries(e,t={}){const n={...t,cancelRefetch:t.cancelRefetch??!0},o=ur.batch(()=>this.#e.findAll(e).filter(i=>!i.isDisabled()&&!i.isStatic()).map(i=>{let l=i.fetch(void 0,n);return n.throwOnError||(l=l.catch(kr)),i.state.fetchStatus==="paused"?Promise.resolve():l}));return Promise.all(o).then(kr)}fetchQuery(e){const t=this.defaultQueryOptions(e);t.retry===void 0&&(t.retry=!1);const n=this.#e.build(this,t);return n.isStaleByTime(ti(t.staleTime,n))?n.fetch(t):Promise.resolve(n.state.data)}prefetchQuery(e){return this.fetchQuery(e).then(kr).catch(kr)}fetchInfiniteQuery(e){return e.behavior=lC(e.pages),this.fetchQuery(e)}prefetchInfiniteQuery(e){return this.fetchInfiniteQuery(e).then(kr).catch(kr)}ensureInfiniteQueryData(e){return e.behavior=lC(e.pages),this.ensureQueryData(e)}resumePausedMutations(){return Lf.isOnline()?this.#t.resumePausedMutations():Promise.resolve()}getQueryCache(){return this.#e}getMutationCache(){return this.#t}getDefaultOptions(){return 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jB=ve("$ZodJWT",(e,t)=>{hn.init(e,t),e._zod.check=n=>{PB(n.value,t.alg)||n.issues.push({code:"invalid_format",format:"jwt",input:n.value,inst:e,continue:!t.abort})}}),k2=ve("$ZodNumber",(e,t)=>{kn.init(e,t),e._zod.pattern=e._zod.bag.pattern??qL,e._zod.parse=(n,o)=>{if(t.coerce)try{n.value=Number(n.value)}catch{}const i=n.value;if(typeof i=="number"&&!Number.isNaN(i)&&Number.isFinite(i))return n;const l=typeof i=="number"?Number.isNaN(i)?"NaN":Number.isFinite(i)?void 0:"Infinity":void 0;return n.issues.push({expected:"number",code:"invalid_type",input:i,inst:e,...l?{received:l}:{}}),n}}),_B=ve("$ZodNumber",(e,t)=>{KL.init(e,t),k2.init(e,t)}),zB=ve("$ZodBoolean",(e,t)=>{kn.init(e,t),e._zod.pattern=VL,e._zod.parse=(n,o)=>{if(t.coerce)try{n.value=!!n.value}catch{}const i=n.value;return typeof 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Uc($r(c)),this.initialCoordinates=(i=hy(l))!=null?i:_o,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n,bypassActivationConstraint:o}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),t.cancel&&this.listeners.add(t.cancel.name,this.handleCancel),this.windowListeners.add(ho.Resize,this.handleCancel),this.windowListeners.add(ho.DragStart,sw),this.windowListeners.add(ho.VisibilityChange,this.handleCancel),this.windowListeners.add(ho.ContextMenu,sw),this.documentListeners.add(ho.Keydown,this.handleKeydown),n){if(o!=null&&o({event:this.props.event,activeNode:this.props.activeNode,options:this.props.options}))return this.handleStart();if(cw(n)){this.timeoutId=setTimeout(this.handleStart,n.delay),this.handlePending(n);return}if(lw(n)){this.handlePending(n);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handlePending(t,n){const{active:o,onPending:i}=this.props;i(o,t,this.initialCoordinates,n)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(ho.Click,Y9,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(ho.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:o,initialCoordinates:i,props:l}=this,{onMove:c,options:{activationConstraint:d}}=l;if(!i)return;const f=(n=hy(t))!=null?n:_o,m=Gf(i,f);if(!o&&d){if(lw(d)){if(d.tolerance!=null&&hg(m,d.tolerance))return this.handleCancel();if(hg(m,d.distance))return this.handleStart()}if(cw(d)&&hg(m,d.tolerance))return this.handleCancel();this.handlePending(d,m);return}t.cancelable&&t.preventDefault(),c(f)}handleEnd(){const{onAbort:t,onEnd:n}=this.props;this.detach(),this.activated||t(this.props.active),n()}handleCancel(){const{onAbort:t,onCancel:n}=this.props;this.detach(),this.activated||t(this.props.active),n()}handleKeydown(t){t.code===Lt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const Q9={cancel:{name:"pointercancel"},move:{name:"pointermove"},end:{name:"pointerup"}};class Tv extends Rv{constructor(t){const{event:n}=t,o=bl(n.target);super(t,Q9,o)}}Tv.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:o}=t;return!n.isPrimary||n.button!==0?!1:(o?.({event:n}),!0)}}];const J9={move:{name:"mousemove"},end:{name:"mouseup"}};var gy;(function(e){e[e.RightClick=2]="RightClick"})(gy||(gy={}));class eF extends Rv{constructor(t){super(t,J9,bl(t.event.target))}}eF.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:o}=t;return n.button===gy.RightClick?!1:(o?.({event:n}),!0)}}];const mg={cancel:{name:"touchcancel"},move:{name:"touchmove"},end:{name:"touchend"}};class tF extends Rv{constructor(t){super(t,mg)}static setup(){return window.addEventListener(mg.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(mg.move.name,t)};function t(){}}}tF.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:o}=t;const{touches:i}=n;return i.length>1?!1:(o?.({event:n}),!0)}}];var Fc;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Fc||(Fc={}));var Zf;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(Zf||(Zf={}));function nF(e){let{acceleration:t,activator:n=Fc.Pointer,canScroll:o,draggingRect:i,enabled:l,interval:c=5,order:d=Zf.TreeOrder,pointerCoordinates:f,scrollableAncestors:m,scrollableAncestorRects:g,delta:v,threshold:x}=e;const C=oF({delta:v,disabled:!l}),[w,S]=h9(),T=b.useRef({x:0,y:0}),k=b.useRef({x:0,y:0}),P=b.useMemo(()=>{switch(n){case Fc.Pointer:return f?{top:f.y,bottom:f.y,left:f.x,right:f.x}:null;case Fc.DraggableRect:return i}},[n,i,f]),R=b.useRef(null),A=b.useCallback(()=>{const _=R.current;if(!_)return;const $=T.current.x*k.current.x,z=T.current.y*k.current.y;_.scrollBy($,z)},[]),M=b.useMemo(()=>d===Zf.TreeOrder?[...m].reverse():m,[d,m]);b.useEffect(()=>{if(!l||!m.length||!P){S();return}for(const _ of M){if(o?.(_)===!1)continue;const $=m.indexOf(_),z=g[$];if(!z)continue;const{direction:B,speed:U}=H9(_,z,P,t,x);for(const q of["x","y"])C[q][B[q]]||(U[q]=0,B[q]=0);if(U.x>0||U.y>0){S(),R.current=_,w(A,c),T.current=U,k.current=B;return}}T.current={x:0,y:0},k.current={x:0,y:0},S()},[t,A,o,S,l,c,JSON.stringify(P),JSON.stringify(C),w,m,M,g,JSON.stringify(x)])}const rF={x:{[nr.Backward]:!1,[nr.Forward]:!1},y:{[nr.Backward]:!1,[nr.Forward]:!1}};function oF(e){let{delta:t,disabled:n}=e;const o=py(t);return Ru(i=>{if(n||!o||!i)return rF;const l={x:Math.sign(t.x-o.x),y:Math.sign(t.y-o.y)};return{x:{[nr.Backward]:i.x[nr.Backward]||l.x===-1,[nr.Forward]:i.x[nr.Forward]||l.x===1},y:{[nr.Backward]:i.y[nr.Backward]||l.y===-1,[nr.Forward]:i.y[nr.Forward]||l.y===1}}},[n,t,o])}function aF(e,t){const n=t!=null?e.get(t):void 0,o=n?n.node.current:null;return Ru(i=>{var l;return t==null?null:(l=o??i)!=null?l:null},[o,t])}function iF(e,t){return b.useMemo(()=>e.reduce((n,o)=>{const{sensor:i}=o,l=i.activators.map(c=>({eventName:c.eventName,handler:t(c.handler,o)}));return[...n,...l]},[]),[e,t])}var au;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(au||(au={}));var yy;(function(e){e.Optimized="optimized"})(yy||(yy={}));const uw=new Map;function sF(e,t){let{dragging:n,dependencies:o,config:i}=t;const[l,c]=b.useState(null),{frequency:d,measure:f,strategy:m}=i,g=b.useRef(e),v=T(),x=ru(v),C=b.useCallback(function(k){k===void 0&&(k=[]),!x.current&&c(P=>P===null?k:P.concat(k.filter(R=>!P.includes(R))))},[x]),w=b.useRef(null),S=Ru(k=>{if(v&&!n)return uw;if(!k||k===uw||g.current!==e||l!=null){const P=new Map;for(let R of e){if(!R)continue;if(l&&l.length>0&&!l.includes(R.id)&&R.rect.current){P.set(R.id,R.rect.current);continue}const A=R.node.current,M=A?new wv(f(A),A):null;R.rect.current=M,M&&P.set(R.id,M)}return P}return k},[e,l,n,v,f]);return b.useEffect(()=>{g.current=e},[e]),b.useEffect(()=>{v||C()},[n,v]),b.useEffect(()=>{l&&l.length>0&&c(null)},[JSON.stringify(l)]),b.useEffect(()=>{v||typeof d!="number"||w.current!==null||(w.current=setTimeout(()=>{C(),w.current=null},d))},[d,v,C,...o]),{droppableRects:S,measureDroppableContainers:C,measuringScheduled:l!=null};function T(){switch(m){case au.Always:return!1;case au.BeforeDragging:return n;default:return!n}}}function AT(e,t){return Ru(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function lF(e,t){return AT(e,t)}function cF(e){let{callback:t,disabled:n}=e;const o=xv(t),i=b.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:l}=window;return new l(o)},[o,n]);return b.useEffect(()=>()=>i?.disconnect(),[i]),i}function jp(e){let{callback:t,disabled:n}=e;const o=xv(t),i=b.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:l}=window;return new l(o)},[n]);return b.useEffect(()=>()=>i?.disconnect(),[i]),i}function uF(e){return new wv(xl(e),e)}function dw(e,t,n){t===void 0&&(t=uF);const[o,i]=b.useState(null);function l(){i(f=>{if(!e)return null;if(e.isConnected===!1){var m;return(m=f??n)!=null?m:null}const g=t(e);return JSON.stringify(f)===JSON.stringify(g)?f:g})}const c=cF({callback(f){if(e)for(const m of f){const{type:g,target:v}=m;if(g==="childList"&&v instanceof HTMLElement&&v.contains(e)){l();break}}}}),d=jp({callback:l});return Jo(()=>{l(),e?(d?.observe(e),c?.observe(document.body,{childList:!0,subtree:!0})):(d?.disconnect(),c?.disconnect())},[e]),o}function dF(e){const t=AT(e);return vT(e,t)}const fw=[];function fF(e){const t=b.useRef(e),n=Ru(o=>e?o&&o!==fw&&e&&t.current&&e.parentNode===t.current.parentNode?o:Cv(e):fw,[e]);return b.useEffect(()=>{t.current=e},[e]),n}function pF(e){const[t,n]=b.useState(null),o=b.useRef(e),i=b.useCallback(l=>{const c=pg(l.target);c&&n(d=>d?(d.set(c,my(c)),new Map(d)):null)},[]);return b.useEffect(()=>{const l=o.current;if(e!==l){c(l);const d=e.map(f=>{const m=pg(f);return m?(m.addEventListener("scroll",i,{passive:!0}),[m,my(m)]):null}).filter(f=>f!=null);n(d.length?new Map(d):null),o.current=e}return()=>{c(e),c(l)};function c(d){d.forEach(f=>{const m=pg(f);m?.removeEventListener("scroll",i)})}},[i,e]),b.useMemo(()=>e.length?t?Array.from(t.values()).reduce((l,c)=>el(l,c),_o):RT(e):_o,[e,t])}function pw(e,t){t===void 0&&(t=[]);const n=b.useRef(null);return b.useEffect(()=>{n.current=null},t),b.useEffect(()=>{const o=e!==_o;o&&!n.current&&(n.current=e),!o&&n.current&&(n.current=null)},[e]),n.current?Gf(e,n.current):_o}function hF(e){b.useEffect(()=>{if(!Pp)return;const t=e.map(n=>{let{sensor:o}=n;return o.setup==null?void 0:o.setup()});return()=>{for(const n of t)n?.()}},e.map(t=>{let{sensor:n}=t;return n}))}function mF(e,t){return b.useMemo(()=>e.reduce((n,o)=>{let{eventName:i,handler:l}=o;return n[i]=c=>{l(c,t)},n},{}),[e,t])}function kT(e){return b.useMemo(()=>e?L9(e):null,[e])}const hw=[];function gF(e,t){t===void 0&&(t=xl);const[n]=e,o=kT(n?$r(n):null),[i,l]=b.useState(hw);function c(){l(()=>e.length?e.map(f=>CT(f)?o:new wv(t(f),f)):hw)}const d=jp({callback:c});return Jo(()=>{d?.disconnect(),c(),e.forEach(f=>d?.observe(f))},[e]),i}function yF(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return wu(t)?t:e}function vF(e){let{measure:t}=e;const[n,o]=b.useState(null),i=b.useCallback(m=>{for(const{target:g}of m)if(wu(g)){o(v=>{const x=t(g);return v?{...v,width:x.width,height:x.height}:x});break}},[t]),l=jp({callback:i}),c=b.useCallback(m=>{const g=yF(m);l?.disconnect(),g&&l?.observe(g),o(g?t(g):null)},[t,l]),[d,f]=Vf(c);return b.useMemo(()=>({nodeRef:d,rect:n,setRef:f}),[n,d,f])}const bF=[{sensor:Tv,options:{}},{sensor:ET,options:{}}],xF={current:{}},Rf={draggable:{measure:iw},droppable:{measure:iw,strategy:au.WhileDragging,frequency:yy.Optimized},dragOverlay:{measure:xl}};class Hc extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,o;return(n=(o=this.get(t))==null?void 0:o.node.current)!=null?n:void 0}}const SF={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Hc,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:Wf},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Rf,measureDroppableContainers:Wf,windowRect:null,measuringScheduled:!1},CF={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:Wf,draggableNodes:new Map,over:null,measureDroppableContainers:Wf},_p=b.createContext(CF),OT=b.createContext(SF);function wF(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Hc}}}function RF(e,t){switch(t.type){case Zn.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Zn.DragMove:return e.draggable.active==null?e:{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}};case Zn.DragEnd:case Zn.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Zn.RegisterDroppable:{const{element:n}=t,{id:o}=n,i=new Hc(e.droppable.containers);return i.set(o,n),{...e,droppable:{...e.droppable,containers:i}}}case Zn.SetDroppableDisabled:{const{id:n,key:o,disabled:i}=t,l=e.droppable.containers.get(n);if(!l||o!==l.key)return e;const c=new Hc(e.droppable.containers);return c.set(n,{...l,disabled:i}),{...e,droppable:{...e.droppable,containers:c}}}case Zn.UnregisterDroppable:{const{id:n,key:o}=t,i=e.droppable.containers.get(n);if(!i||o!==i.key)return e;const l=new Hc(e.droppable.containers);return l.delete(n),{...e,droppable:{...e.droppable,containers:l}}}default:return e}}function TF(e){let{disabled:t}=e;const{active:n,activatorEvent:o,draggableNodes:i}=b.useContext(_p),l=py(o),c=py(n?.id);return b.useEffect(()=>{if(!t&&!o&&l&&c!=null){if(!Sv(l)||document.activeElement===l.target)return;const d=i.get(c);if(!d)return;const{activatorNode:f,node:m}=d;if(!f.current&&!m.current)return;requestAnimationFrame(()=>{for(const g of[f.current,m.current]){if(!g)continue;const v=y9(g);if(v){v.focus();break}}})}},[o,t,i,c,l]),null}function EF(e,t){let{transform:n,...o}=t;return e!=null&&e.length?e.reduce((i,l)=>l({transform:i,...o}),n):n}function AF(e){return b.useMemo(()=>({draggable:{...Rf.draggable,...e?.draggable},droppable:{...Rf.droppable,...e?.droppable},dragOverlay:{...Rf.dragOverlay,...e?.dragOverlay}}),[e?.draggable,e?.droppable,e?.dragOverlay])}function kF(e){let{activeNode:t,measure:n,initialRect:o,config:i=!0}=e;const l=b.useRef(!1),{x:c,y:d}=typeof 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this.handleStart()}if(cw(d)&&hg(m,d.tolerance))return this.handleCancel();this.handlePending(d,m);return}t.cancelable&&t.preventDefault(),c(f)}handleEnd(){const{onAbort:t,onEnd:n}=this.props;this.detach(),this.activated||t(this.props.active),n()}handleCancel(){const{onAbort:t,onCancel:n}=this.props;this.detach(),this.activated||t(this.props.active),n()}handleKeydown(t){t.code===Bt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const Q9={cancel:{name:"pointercancel"},move:{name:"pointermove"},end:{name:"pointerup"}};class Tv extends Rv{constructor(t){const{event:n}=t,o=bl(n.target);super(t,Q9,o)}}Tv.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:o}=t;return!n.isPrimary||n.button!==0?!1:(o?.({event:n}),!0)}}];const J9={move:{name:"mousemove"},end:{name:"mouseup"}};var gy;(function(e){e[e.RightClick=2]="RightClick"})(gy||(gy={}));class eF extends Rv{constructor(t){super(t,J9,bl(t.event.target))}}eF.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:o}=t;return n.button===gy.RightClick?!1:(o?.({event:n}),!0)}}];const mg={cancel:{name:"touchcancel"},move:{name:"touchmove"},end:{name:"touchend"}};class tF extends Rv{constructor(t){super(t,mg)}static setup(){return window.addEventListener(mg.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(mg.move.name,t)};function t(){}}}tF.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:o}=t;const{touches:i}=n;return i.length>1?!1:(o?.({event:n}),!0)}}];var Fc;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Fc||(Fc={}));var Zf;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(Zf||(Zf={}));function nF(e){let{acceleration:t,activator:n=Fc.Pointer,canScroll:o,draggingRect:i,enabled:l,interval:c=5,order:d=Zf.TreeOrder,pointerCoordinates:f,scrollableAncestors:m,scrollableAncestorRects:g,delta:v,threshold:x}=e;const C=oF({delta:v,disabled:!l}),[w,S]=h9(),T=b.useRef({x:0,y:0}),k=b.useRef({x:0,y:0}),P=b.useMemo(()=>{switch(n){case Fc.Pointer:return f?{top:f.y,bottom:f.y,left:f.x,right:f.x}:null;case Fc.DraggableRect:return i}},[n,i,f]),R=b.useRef(null),A=b.useCallback(()=>{const _=R.current;if(!_)return;const $=T.current.x*k.current.x,z=T.current.y*k.current.y;_.scrollBy($,z)},[]),M=b.useMemo(()=>d===Zf.TreeOrder?[...m].reverse():m,[d,m]);b.useEffect(()=>{if(!l||!m.length||!P){S();return}for(const _ of M){if(o?.(_)===!1)continue;const $=m.indexOf(_),z=g[$];if(!z)continue;const{direction:B,speed:U}=H9(_,z,P,t,x);for(const q of["x","y"])C[q][B[q]]||(U[q]=0,B[q]=0);if(U.x>0||U.y>0){S(),R.current=_,w(A,c),T.current=U,k.current=B;return}}T.current={x:0,y:0},k.current={x:0,y:0},S()},[t,A,o,S,l,c,JSON.stringify(P),JSON.stringify(C),w,m,M,g,JSON.stringify(x)])}const rF={x:{[nr.Backward]:!1,[nr.Forward]:!1},y:{[nr.Backward]:!1,[nr.Forward]:!1}};function oF(e){let{delta:t,disabled:n}=e;const o=py(t);return Ru(i=>{if(n||!o||!i)return rF;const l={x:Math.sign(t.x-o.x),y:Math.sign(t.y-o.y)};return{x:{[nr.Backward]:i.x[nr.Backward]||l.x===-1,[nr.Forward]:i.x[nr.Forward]||l.x===1},y:{[nr.Backward]:i.y[nr.Backward]||l.y===-1,[nr.Forward]:i.y[nr.Forward]||l.y===1}}},[n,t,o])}function aF(e,t){const n=t!=null?e.get(t):void 0,o=n?n.node.current:null;return Ru(i=>{var l;return t==null?null:(l=o??i)!=null?l:null},[o,t])}function iF(e,t){return b.useMemo(()=>e.reduce((n,o)=>{const{sensor:i}=o,l=i.activators.map(c=>({eventName:c.eventName,handler:t(c.handler,o)}));return[...n,...l]},[]),[e,t])}var au;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(au||(au={}));var yy;(function(e){e.Optimized="optimized"})(yy||(yy={}));const uw=new Map;function sF(e,t){let{dragging:n,dependencies:o,config:i}=t;const[l,c]=b.useState(null),{frequency:d,measure:f,strategy:m}=i,g=b.useRef(e),v=T(),x=ru(v),C=b.useCallback(function(k){k===void 0&&(k=[]),!x.current&&c(P=>P===null?k:P.concat(k.filter(R=>!P.includes(R))))},[x]),w=b.useRef(null),S=Ru(k=>{if(v&&!n)return uw;if(!k||k===uw||g.current!==e||l!=null){const P=new Map;for(let R of e){if(!R)continue;if(l&&l.length>0&&!l.includes(R.id)&&R.rect.current){P.set(R.id,R.rect.current);continue}const A=R.node.current,M=A?new wv(f(A),A):null;R.rect.current=M,M&&P.set(R.id,M)}return P}return k},[e,l,n,v,f]);return b.useEffect(()=>{g.current=e},[e]),b.useEffect(()=>{v||C()},[n,v]),b.useEffect(()=>{l&&l.length>0&&c(null)},[JSON.stringify(l)]),b.useEffect(()=>{v||typeof d!="number"||w.current!==null||(w.current=setTimeout(()=>{C(),w.current=null},d))},[d,v,C,...o]),{droppableRects:S,measureDroppableContainers:C,measuringScheduled:l!=null};function T(){switch(m){case au.Always:return!1;case au.BeforeDragging:return n;default:return!n}}}function AT(e,t){return Ru(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function lF(e,t){return AT(e,t)}function cF(e){let{callback:t,disabled:n}=e;const o=xv(t),i=b.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:l}=window;return new l(o)},[o,n]);return b.useEffect(()=>()=>i?.disconnect(),[i]),i}function jp(e){let{callback:t,disabled:n}=e;const o=xv(t),i=b.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:l}=window;return new l(o)},[n]);return b.useEffect(()=>()=>i?.disconnect(),[i]),i}function uF(e){return new wv(xl(e),e)}function dw(e,t,n){t===void 0&&(t=uF);const[o,i]=b.useState(null);function l(){i(f=>{if(!e)return null;if(e.isConnected===!1){var m;return(m=f??n)!=null?m:null}const g=t(e);return JSON.stringify(f)===JSON.stringify(g)?f:g})}const c=cF({callback(f){if(e)for(const m of f){const{type:g,target:v}=m;if(g==="childList"&&v instanceof HTMLElement&&v.contains(e)){l();break}}}}),d=jp({callback:l});return Jo(()=>{l(),e?(d?.observe(e),c?.observe(document.body,{childList:!0,subtree:!0})):(d?.disconnect(),c?.disconnect())},[e]),o}function dF(e){const t=AT(e);return vT(e,t)}const fw=[];function fF(e){const t=b.useRef(e),n=Ru(o=>e?o&&o!==fw&&e&&t.current&&e.parentNode===t.current.parentNode?o:Cv(e):fw,[e]);return b.useEffect(()=>{t.current=e},[e]),n}function pF(e){const[t,n]=b.useState(null),o=b.useRef(e),i=b.useCallback(l=>{const c=pg(l.target);c&&n(d=>d?(d.set(c,my(c)),new Map(d)):null)},[]);return b.useEffect(()=>{const l=o.current;if(e!==l){c(l);const d=e.map(f=>{const m=pg(f);return m?(m.addEventListener("scroll",i,{passive:!0}),[m,my(m)]):null}).filter(f=>f!=null);n(d.length?new Map(d):null),o.current=e}return()=>{c(e),c(l)};function c(d){d.forEach(f=>{const m=pg(f);m?.removeEventListener("scroll",i)})}},[i,e]),b.useMemo(()=>e.length?t?Array.from(t.values()).reduce((l,c)=>el(l,c),_o):RT(e):_o,[e,t])}function pw(e,t){t===void 0&&(t=[]);const n=b.useRef(null);return b.useEffect(()=>{n.current=null},t),b.useEffect(()=>{const o=e!==_o;o&&!n.current&&(n.current=e),!o&&n.current&&(n.current=null)},[e]),n.current?Gf(e,n.current):_o}function hF(e){b.useEffect(()=>{if(!Pp)return;const t=e.map(n=>{let{sensor:o}=n;return o.setup==null?void 0:o.setup()});return()=>{for(const n of t)n?.()}},e.map(t=>{let{sensor:n}=t;return n}))}function mF(e,t){return b.useMemo(()=>e.reduce((n,o)=>{let{eventName:i,handler:l}=o;return n[i]=c=>{l(c,t)},n},{}),[e,t])}function kT(e){return b.useMemo(()=>e?L9(e):null,[e])}const hw=[];function gF(e,t){t===void 0&&(t=xl);const[n]=e,o=kT(n?$r(n):null),[i,l]=b.useState(hw);function c(){l(()=>e.length?e.map(f=>CT(f)?o:new wv(t(f),f)):hw)}const d=jp({callback:c});return Jo(()=>{d?.disconnect(),c(),e.forEach(f=>d?.observe(f))},[e]),i}function yF(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return wu(t)?t:e}function vF(e){let{measure:t}=e;const[n,o]=b.useState(null),i=b.useCallback(m=>{for(const{target:g}of m)if(wu(g)){o(v=>{const x=t(g);return v?{...v,width:x.width,height:x.height}:x});break}},[t]),l=jp({callback:i}),c=b.useCallback(m=>{const g=yF(m);l?.disconnect(),g&&l?.observe(g),o(g?t(g):null)},[t,l]),[d,f]=Vf(c);return b.useMemo(()=>({nodeRef:d,rect:n,setRef:f}),[n,d,f])}const bF=[{sensor:Tv,options:{}},{sensor:ET,options:{}}],xF={current:{}},Rf={draggable:{measure:iw},droppable:{measure:iw,strategy:au.WhileDragging,frequency:yy.Optimized},dragOverlay:{measure:xl}};class Hc extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,o;return(n=(o=this.get(t))==null?void 0:o.node.current)!=null?n:void 0}}const SF={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Hc,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:Wf},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Rf,measureDroppableContainers:Wf,windowRect:null,measuringScheduled:!1},CF={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:Wf,draggableNodes:new Map,over:null,measureDroppableContainers:Wf},_p=b.createContext(CF),OT=b.createContext(SF);function wF(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Hc}}}function RF(e,t){switch(t.type){case Yn.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Yn.DragMove:return e.draggable.active==null?e:{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}};case Yn.DragEnd:case Yn.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Yn.RegisterDroppable:{const{element:n}=t,{id:o}=n,i=new Hc(e.droppable.containers);return i.set(o,n),{...e,droppable:{...e.droppable,containers:i}}}case Yn.SetDroppableDisabled:{const{id:n,key:o,disabled:i}=t,l=e.droppable.containers.get(n);if(!l||o!==l.key)return e;const c=new Hc(e.droppable.containers);return c.set(n,{...l,disabled:i}),{...e,droppable:{...e.droppable,containers:c}}}case Yn.UnregisterDroppable:{const{id:n,key:o}=t,i=e.droppable.containers.get(n);if(!i||o!==i.key)return e;const l=new Hc(e.droppable.containers);return l.delete(n),{...e,droppable:{...e.droppable,containers:l}}}default:return e}}function TF(e){let{disabled:t}=e;const{active:n,activatorEvent:o,draggableNodes:i}=b.useContext(_p),l=py(o),c=py(n?.id);return b.useEffect(()=>{if(!t&&!o&&l&&c!=null){if(!Sv(l)||document.activeElement===l.target)return;const d=i.get(c);if(!d)return;const{activatorNode:f,node:m}=d;if(!f.current&&!m.current)return;requestAnimationFrame(()=>{for(const g of[f.current,m.current]){if(!g)continue;const v=y9(g);if(v){v.focus();break}}})}},[o,t,i,c,l]),null}function EF(e,t){let{transform:n,...o}=t;return e!=null&&e.length?e.reduce((i,l)=>l({transform:i,...o}),n):n}function AF(e){return b.useMemo(()=>({draggable:{...Rf.draggable,...e?.draggable},droppable:{...Rf.droppable,...e?.droppable},dragOverlay:{...Rf.dragOverlay,...e?.dragOverlay}}),[e?.draggable,e?.droppable,e?.dragOverlay])}function kF(e){let{activeNode:t,measure:n,initialRect:o,config:i=!0}=e;const l=b.useRef(!1),{x:c,y:d}=typeof 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.MuiChip-label":{px:0,fontSize:{xs:13,sm:14},color:"#ffffff"}}}),p.jsx(FH,{compact:o})]})})]}),p.jsx(je,{sx:{alignItems:"center"},children:p.jsx(o9,{})})]}),p.jsx(Se,{sx:{display:i==="shop"?"flex":"none",justifyContent:"center"},children:p.jsx(Se,{sx:{width:"100%",maxWidth:540},children:p.jsx(HH,{})})}),p.jsx(Se,{sx:{display:i==="team_trials"?"flex":"none",justifyContent:"center"},children:p.jsx(Se,{sx:{width:"100%",maxWidth:540},children:p.jsx(GH,{})})})]})})}const ZH=new OI;function KH(){return p.jsx(PI,{client:ZH,children:p.jsx(WH,{})})}function YH({children:e}){const t=it(o=>o.uiTheme),n=Ht.useMemo(()=>up({palette:{mode:t}}),[t]);return p.jsxs(_P,{theme:n,children:[p.jsx(rD,{}),e]})}ek.createRoot(document.getElementById("root")).render(p.jsx(Ht.StrictMode,{children:p.jsx(YH,{children:p.jsx(KH,{})})}));
diff --git a/web/dist/index.html b/web/dist/index.html
index 5b726df8..a751245c 100644
--- a/web/dist/index.html
+++ b/web/dist/index.html
@@ -5,7 +5,7 @@
     <link rel="icon" type="image/svg+xml" href="/logo.svg" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Umaplay</title>
-    <script type="module" crossorigin src="/assets/index-BIcCosn4.js"></script>
+    <script type="module" crossorigin src="/assets/index-BY8sGv-Y.js"></script>
   </head>
   <body>
     <div id="root"></div>

diff --git a/web/src/models/config.schema.ts b/web/src/models/config.schema.ts
index 1e4d6444..f2cb6a98 100644
--- a/web/src/models/config.schema.ts
+++ b/web/src/models/config.schema.ts
@@ -133,6 +133,15 @@ export const generalSchema = z.object({
     topStatsFocus: z.number().int().min(1).max(5).default(3),
     skillCheckInterval: z.number().int().min(1).max(12).default(3),
     skillPtsDelta: z.number().int().min(0).max(1000).default(60),
+    careerLoop: z.object({
+      enabled: z.boolean().default(true),
+      maxCareers: z.number().nullable().default(5),
+      preferredSupport: z.string().default('Riko Kashimoto'),
+      preferredLevel: z.number().int().min(1).max(100).default(50),
+      maxRefresh: z.number().int().min(0).max(20).default(5),
+      refreshWait: z.number().min(1).max(30).default(5),
+      errorThreshold: z.number().int().min(1).max(20).default(5),
+    }).optional(),
   }).default({
     hotkey: 'F2',
     debugMode: true,
@@ -195,8 +204,8 @@ export const presetSchema = z.object({
   unityCupAdvanced: unityCupAdvancedSchema.optional().default(() => defaultUnityCupAdvanced()),
   // Make optional on input, but always present on output via default()
   event_setup: (() => {
-    const rarity = z.enum(['SSR','SR','R'])
-    const attr   = z.enum(['SPD','STA','PWR','GUTS','WIT','PAL'])
+    const rarity = z.enum(['SSR', 'SR', 'R'])
+    const attr = z.enum(['SPD', 'STA', 'PWR', 'GUTS', 'WIT', 'PAL'])
     const supportPriority = z.object({
       enabled: z.boolean().default(true),
       scoreBlueGreen: z.number().min(0).max(10).default(0.75),
@@ -225,7 +234,7 @@ export const presetSchema = z.object({
       avoidEnergyOverflow: z.boolean().default(true).optional(),
       rewardPriority: z.array(z.enum(['skill_pts', 'stats', 'hints'])).default(['skill_pts', 'stats', 'hints']).optional(),
     }).nullable()
-    const selectedTrainee  = z.object({
+    const selectedTrainee = z.object({
       name: z.string(),
       avoidEnergyOverflow: z.boolean().default(true).optional(),
       rewardPriority: z.array(z.enum(['skill_pts', 'stats', 'hints'])).default(['skill_pts', 'stats', 'hints']).optional(),
@@ -249,8 +258,8 @@ export const presetSchema = z.object({
     const eventSetup = z.object({
       supports: z.array(selectedSupport.nullable()).length(6).default([null, null, null, null, null, null]),
       scenario: selectedScenario.default(null),
-      trainee:  selectedTrainee.default(null),
-      prefs:    eventPrefs.default({
+      trainee: selectedTrainee.default(null),
+      prefs: eventPrefs.default({
         overrides: {},
         patterns: [],
         defaults: { support: 1, trainee: 1, scenario: 1 },
@@ -262,7 +271,7 @@ export const presetSchema = z.object({
   })().default({
     supports: [null, null, null, null, null, null],
     scenario: null,
-    trainee:  null,
+    trainee: null,
     prefs: {
       overrides: {},
       patterns: [],