feat: Add multi-series configuration testing and debugging tools

- Add comprehensive test scripts for multi-series dongle configuration
- Add debugging tools for deployment and flow testing
- Add configuration verification and guide utilities
- Fix stdout/stderr handling in deployment dialog for PyInstaller builds
- Includes port ID configuration tests and multi-series config validation

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

check_multi_series_config.py

@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+"""
+Check current multi-series configuration in saved .mflow files
+"""
+
+import json
+import os
+import glob
+
+def check_mflow_files():
+    """Check .mflow files for multi-series configuration"""
+    
+    # Look for .mflow files in common locations
+    search_paths = [
+        "*.mflow",
+        "flows/*.mflow", 
+        "examples/*.mflow",
+        "../*.mflow"
+    ]
+    
+    mflow_files = []
+    for pattern in search_paths:
+        mflow_files.extend(glob.glob(pattern))
+    
+    if not mflow_files:
+        print("No .mflow files found in current directory")
+        return
+    
+    print(f"Found {len(mflow_files)} .mflow file(s):")
+    
+    for mflow_file in mflow_files:
+        print(f"\n=== Checking {mflow_file} ===")
+        
+        try:
+            with open(mflow_file, 'r') as f:
+                data = json.load(f)
+            
+            # Look for nodes with type "Model" or "ExactModelNode"
+            nodes = data.get('nodes', [])
+            model_nodes = [node for node in nodes if node.get('type') in ['Model', 'ExactModelNode']]
+            
+            if not model_nodes:
+                print("  No Model nodes found")
+                continue
+            
+            for i, node in enumerate(model_nodes):
+                print(f"\n  Model Node {i+1}:")
+                print(f"    Name: {node.get('name', 'Unnamed')}")
+                
+                # Check both custom_properties and properties for multi-series config
+                custom_properties = node.get('custom_properties', {})
+                properties = node.get('properties', {})
+                
+                # Multi-series config is typically in custom_properties
+                config_props = custom_properties if custom_properties else properties
+                
+                # Check multi-series configuration
+                multi_series_mode = config_props.get('multi_series_mode', False)
+                enabled_series = config_props.get('enabled_series', [])
+                
+                print(f"    multi_series_mode: {multi_series_mode}")
+                print(f"    enabled_series: {enabled_series}")
+                
+                if multi_series_mode:
+                    print("    Multi-series port configurations:")
+                    for series in ['520', '720', '630', '730', '540']:
+                        port_ids = config_props.get(f'kl{series}_port_ids', '')
+                        if port_ids:
+                            print(f"      kl{series}_port_ids: '{port_ids}'")
+                    
+                    assets_folder = config_props.get('assets_folder', '')
+                    if assets_folder:
+                        print(f"    assets_folder: '{assets_folder}'")
+                    else:
+                        print("    assets_folder: (not set)")
+                else:
+                    print("    Multi-series mode is DISABLED")
+                    print("    Current single-series configuration:")
+                    port_ids = properties.get('port_ids', [])
+                    model_path = properties.get('model_path', '')
+                    print(f"      port_ids: {port_ids}")
+                    print(f"      model_path: '{model_path}'")
+                
+        except Exception as e:
+            print(f"  Error reading file: {e}")
+
+def print_configuration_guide():
+    """Print guide for setting up multi-series configuration"""
+    print("\n" + "="*60)
+    print("MULTI-SERIES CONFIGURATION GUIDE")
+    print("="*60)
+    print()
+    print("To enable multi-series inference, set these properties in your Model Node:")
+    print()
+    print("1. multi_series_mode = True")
+    print("2. enabled_series = ['520', '720']")
+    print("3. kl520_port_ids = '28,32'")
+    print("4. kl720_port_ids = '4'")
+    print("5. assets_folder = (optional, for auto model/firmware detection)")
+    print()
+    print("Expected devices found:")
+    print("  KL520 devices on ports: 28, 32")
+    print("  KL720 device on port: 4")
+    print()
+    print("If multi_series_mode is False or not set, the system will use")
+    print("single-series mode with only the first available device.")
+
+if __name__ == "__main__":
+    check_mflow_files()
+    print_configuration_guide()

core/functions/InferencePipeline.py

@@ -19,6 +19,8 @@ class StageConfig:
     model_path: str
     upload_fw: bool
     max_queue_size: int = 50
+    # Multi-series support
+    multi_series_config: Optional[Dict[str, Any]] = None  # For multi-series mode
     # Inter-stage processing
     input_preprocessor: Optional[PreProcessor] = None  # Before this stage
     output_postprocessor: Optional[PostProcessor] = None  # After this stage
@@ -43,15 +45,25 @@ class PipelineStage:
         self.stage_id = config.stage_id
         
         # Initialize MultiDongle for this stage
-        self.multidongle = MultiDongle(
+        if config.multi_series_config:
-            port_id=config.port_ids,
+            # Multi-series mode
-            scpu_fw_path=config.scpu_fw_path,
+            self.multidongle = MultiDongle(
-            ncpu_fw_path=config.ncpu_fw_path,
+                multi_series_config=config.multi_series_config,
-            model_path=config.model_path,
+                max_queue_size=config.max_queue_size
-            upload_fw=config.upload_fw,
+            )
-            auto_detect=config.auto_detect if hasattr(config, 'auto_detect') else False,
+            print(f"[Stage {self.stage_id}] Initialized in multi-series mode with config: {list(config.multi_series_config.keys())}")
-            max_queue_size=config.max_queue_size
+        else:
-        )
+            # Single-series mode (legacy)
+            self.multidongle = MultiDongle(
+                port_id=config.port_ids,
+                scpu_fw_path=config.scpu_fw_path,
+                ncpu_fw_path=config.ncpu_fw_path,
+                model_path=config.model_path,
+                upload_fw=config.upload_fw,
+                auto_detect=config.auto_detect if hasattr(config, 'auto_detect') else False,
+                max_queue_size=config.max_queue_size
+            )
+            print(f"[Stage {self.stage_id}] Initialized in single-series mode")
         
         # Store preprocessor and postprocessor for later use
         self.stage_preprocessor = config.stage_preprocessor

core/functions/Multidongle.py

@@ -10,7 +10,39 @@ import kp
 import cv2
 import time
 from abc import ABC, abstractmethod
-from typing import Callable, Optional, Any, Dict
+from typing import Callable, Optional, Any, Dict, List
+from dataclasses import dataclass
+from collections import defaultdict
+
+
+@dataclass
+class InferenceTask:
+    sequence_id: int
+    image_data: np.ndarray
+    image_format: Any  # kp.ImageFormat
+    timestamp: float
+
+
+@dataclass
+class InferenceResult:
+    sequence_id: int
+    result: Any
+    series_name: str
+    timestamp: float
+
+
+class DongleSeriesSpec:
+    """Dongle series specifications with GOPS capacity for load balancing"""
+    KL520_GOPS = 2
+    KL720_GOPS = 28
+    
+    SERIES_SPECS = {
+        "KL520": {"product_id": 0x100, "gops": KL520_GOPS},
+        "KL720": {"product_id": 0x720, "gops": KL720_GOPS},
+        "KL630": {"product_id": 0x630, "gops": 400},
+        "KL730": {"product_id": 0x730, "gops": 1600}, 
+        # "KL540": {"product_id": 0x540, "gops": 800}
+    }
 
 
 class DataProcessor(ABC):
@@ -83,7 +115,7 @@ class MultiDongle:
         "0x720": "KL720",
         "0x630": "KL630",
         "0x730": "KL730",
-        "0x540": "KL540",
+        # "0x540": "KL540",
     }
 
     @staticmethod
@@ -176,8 +208,8 @@ class MultiDongle:
                     return 'KL630'
                 elif chip == kp.ModelNefDescriptor.KP_CHIP_KL730:
                     return 'KL730'
-                elif chip == kp.ModelNefDescriptor.KP_CHIP_KL540:
+                # elif chip == kp.ModelNefDescriptor.KP_CHIP_KL540:
-                    return 'KL540'
+                #     return 'KL540'
             
             # Final fallback
             return 'Unknown'
@@ -222,17 +254,111 @@ class MultiDongle:
         except kp.ApiKPException as exception:
             raise Exception(f'Failed to connect devices: {str(exception)}')
 
-    def __init__(self, port_id: list = None, scpu_fw_path: str = None, ncpu_fw_path: str = None, model_path: str = None, upload_fw: bool = False, auto_detect: bool = False, max_queue_size: int = 0):
+    def __init__(self, port_id: list = None, scpu_fw_path: str = None, ncpu_fw_path: str = None, 
+                 model_path: str = None, upload_fw: bool = False, auto_detect: bool = False, 
+                 max_queue_size: int = 0, multi_series_config: dict = None):
         """
-        Initialize the MultiDongle class.
+        Initialize the MultiDongle class with support for both single and multi-series configurations.
-        :param port_id: List of USB port IDs for the same layer's devices. If None and auto_detect=True, will auto-detect devices.
+        
-        :param scpu_fw_path: Path to the SCPU firmware file.
+        :param port_id: List of USB port IDs for single-series (legacy). If None and auto_detect=True, will auto-detect.
-        :param ncpu_fw_path: Path to the NCPU firmware file.
+        :param scpu_fw_path: Path to the SCPU firmware file for single-series (legacy).
-        :param model_path: Path to the model file.
+        :param ncpu_fw_path: Path to the NCPU firmware file for single-series (legacy).
-        :param upload_fw: Flag to indicate whether to upload firmware.
+        :param model_path: Path to the model file for single-series (legacy).
-        :param auto_detect: Flag to auto-detect and connect to available devices.
+        :param upload_fw: Flag to indicate whether to upload firmware for single-series (legacy).
+        :param auto_detect: Flag to auto-detect and connect to available devices for single-series (legacy).
         :param max_queue_size: Maximum size for internal queues. If 0, unlimited queues are used.
+        :param multi_series_config: Multi-series configuration dict. Format:
+            {
+                "KL520": {
+                    "port_ids": [28, 32],
+                    "model_path": "path/to/kl520_model.nef",
+                    "firmware_paths": {  # Optional
+                        "scpu": "path/to/kl520_scpu.bin",
+                        "ncpu": "path/to/kl520_ncpu.bin"
+                    }
+                }
+            }
         """
+        # Determine if we're using multi-series mode
+        self.multi_series_mode = multi_series_config is not None
+        
+        if self.multi_series_mode:
+            # Multi-series initialization
+            self._init_multi_series(multi_series_config, max_queue_size)
+        else:
+            # Legacy single-series initialization
+            self._init_single_series(port_id, scpu_fw_path, ncpu_fw_path, model_path, 
+                                   upload_fw, auto_detect, max_queue_size)
+
+    def _init_multi_series(self, multi_series_config: dict, max_queue_size: int):
+        """Initialize multi-series configuration"""
+        self.series_config = multi_series_config
+        self.series_groups = {}  # series_name -> config
+        self.device_groups = {}  # series_name -> device_group
+        self.model_descriptors = {}  # series_name -> model descriptor
+        self.gops_weights = {}  # series_name -> normalized weight
+        self.current_loads = {}  # series_name -> current queue size
+        
+        # Set up series groups and calculate weights
+        total_gops = 0
+        for series_name, config in multi_series_config.items():
+            if series_name not in DongleSeriesSpec.SERIES_SPECS:
+                raise ValueError(f"Unknown series: {series_name}")
+                
+            self.series_groups[series_name] = config
+            self.current_loads[series_name] = 0
+            
+            # Calculate effective GOPS (series GOPS * number of devices)
+            port_count = len(config.get("port_ids", []))
+            series_gops = DongleSeriesSpec.SERIES_SPECS[series_name]["gops"]
+            effective_gops = series_gops * port_count
+            total_gops += effective_gops
+        
+        # Calculate normalized weights
+        for series_name, config in multi_series_config.items():
+            port_count = len(config.get("port_ids", []))
+            series_gops = DongleSeriesSpec.SERIES_SPECS[series_name]["gops"]
+            effective_gops = series_gops * port_count
+            self.gops_weights[series_name] = effective_gops / total_gops if total_gops > 0 else 0
+        
+        # Multi-series threading and queues
+        if max_queue_size > 0:
+            self._input_queue = queue.Queue(maxsize=max_queue_size)
+            self._ordered_output_queue = queue.Queue(maxsize=max_queue_size)
+        else:
+            self._input_queue = queue.Queue()
+            self._ordered_output_queue = queue.Queue()
+        
+        # Create output queue for legacy compatibility
+        self._output_queue = self._ordered_output_queue  # Point to the same queue
+        
+        self.result_queues = {}  # series_name -> queue
+        for series_name in multi_series_config.keys():
+            self.result_queues[series_name] = queue.Queue()
+        
+        # Sequence management for ordered results
+        self.sequence_counter = 0
+        self.sequence_lock = threading.Lock()
+        self.pending_results = {}  # sequence_id -> InferenceResult
+        self.next_output_sequence = 0
+        
+        # Threading
+        self._stop_event = threading.Event()
+        self.dispatcher_thread = None
+        self.send_threads = {}  # series_name -> thread
+        self.receive_threads = {}  # series_name -> thread
+        self.result_ordering_thread = None
+        
+        # Legacy attributes for compatibility
+        self.port_id = []
+        self.device_group = None
+        self.model_nef_descriptor = None
+        self.generic_inference_input_descriptor = None
+        self._inference_counter = 0
+
+    def _init_single_series(self, port_id: list, scpu_fw_path: str, ncpu_fw_path: str, 
+                           model_path: str, upload_fw: bool, auto_detect: bool, max_queue_size: int):
+        """Initialize legacy single-series configuration"""
         self.auto_detect = auto_detect
         self.connected_devices_info = []
         
@@ -258,8 +384,8 @@ class MultiDongle:
         # generic_inference_input_descriptor will be prepared in initialize
         self.model_nef_descriptor = None
         self.generic_inference_input_descriptor = None
+        
         # Queues for data
-        # Input queue for images to be sent
         if max_queue_size > 0:
             self._input_queue = queue.Queue(maxsize=max_queue_size)
             self._output_queue = queue.Queue(maxsize=max_queue_size)
@@ -270,15 +396,137 @@ class MultiDongle:
         # Threading attributes
         self._send_thread = None
         self._receive_thread = None
-        self._stop_event = threading.Event() # Event to signal threads to stop
+        self._stop_event = threading.Event()
         
         self._inference_counter = 0
         
+        # Convert single-series to multi-series format internally for unified processing
+        self._convert_single_to_multi_series()
+
+    def _convert_single_to_multi_series(self):
+        """
+        Convert single-series configuration to multi-series format internally
+        This allows unified processing regardless of initialization mode
+        """
+        if not self.port_id:
+            # No ports specified, create empty structure
+            self.series_groups = {}
+            self.gops_weights = {}
+            self.current_loads = {}
+            return
+        
+        # Detect series from connected devices or use default
+        detected_series = self._detect_series_from_ports(self.port_id)
+        
+        # Create multi-series config format
+        self.series_groups = {
+            detected_series: {
+                "port_ids": self.port_id.copy(),
+                "model_path": self.model_path,
+                "firmware_paths": {
+                    "scpu": self.scpu_fw_path,
+                    "ncpu": self.ncpu_fw_path
+                } if self.scpu_fw_path and self.ncpu_fw_path else {}
+            }
+        }
+        
+        # Calculate GOPS weights (100% since it's single series)
+        self.gops_weights = {detected_series: 1.0}
+        
+        # Initialize load tracking
+        self.current_loads = {detected_series: 0}
+        
+        print(f"Single-series config converted to multi-series format: {detected_series}")
+
+    def _detect_series_from_ports(self, port_ids: List[int]) -> str:
+        """
+        Detect series from port IDs by scanning connected devices
+        Falls back to KL520 if unable to detect
+        """
+        try:
+            # Try to scan devices and match port IDs
+            devices_info = self.scan_devices()
+            
+            for device_info in devices_info:
+                if device_info['port_id'] in port_ids:
+                    series = device_info.get('series', 'Unknown')
+                    if series != 'Unknown':
+                        return series
+            
+            # If scanning didn't work, try to auto-detect from the first available device
+            if self.auto_detect and self.connected_devices_info:
+                for device_info in self.connected_devices_info:
+                    series = device_info.get('series', 'Unknown')
+                    if series != 'Unknown':
+                        return series
+        except Exception as e:
+            print(f"Warning: Could not detect series from devices: {e}")
+        
+        # Fallback to KL520 (most common series)
+        print("Warning: Could not detect device series, defaulting to KL520")
+        return "KL520"
+
+    def _select_optimal_series(self) -> Optional[str]:
+        """
+        Select optimal series based on current load and GOPS capacity with performance bias
+        Returns the series name with the best load/capacity ratio, favoring high-performance dongles
+        """
+        if not self.multi_series_mode or not self.series_groups:
+            return None
+            
+        best_score = float('inf')
+        selected_series = None
+        
+        # Get series GOPS values for performance bias
+        series_gops = {}
+        for series_name in self.series_groups.keys():
+            # Extract GOPS from DongleSeriesSpec
+            for spec_name, spec_info in DongleSeriesSpec.SERIES_SPECS.items():
+                if spec_name == series_name:
+                    series_gops[series_name] = spec_info["gops"]
+                    break
+        
+        for series_name in self.series_groups.keys():
+            current_load = self.current_loads.get(series_name, 0)
+            weight = self.gops_weights.get(series_name, 0)
+            gops = series_gops.get(series_name, 1)
+            
+            if weight <= 0:
+                continue
+                
+            # Calculate load ratio (lower is better)
+            load_ratio = current_load / weight
+            
+            # Add performance bias: penalize low-GOPS devices more heavily
+            # This encourages using high-performance dongles even if they have slightly higher load
+            if gops < 10:  # Low-performance threshold (like KL520 with 2 GOPS)
+                performance_penalty = 2.0  # 2x penalty for slow devices
+            else:
+                performance_penalty = 1.0
+            
+            # Combined score considers both load and performance
+            combined_score = load_ratio * performance_penalty
+            
+            if combined_score < best_score:
+                best_score = combined_score
+                selected_series = series_name
+        
+        return selected_series
+
     def initialize(self):
         """
         Connect devices, upload firmware (if upload_fw is True), and upload model.
         Must be called before start().
         """
+        if self.multi_series_mode:
+            # Multi-series initialization
+            self._initialize_multi_series()
+        else:
+            # Legacy single-series initialization
+            self._initialize_single_series()
+
+    def _initialize_single_series(self):
+        """Initialize single-series (legacy) mode"""
         # Connect device and assign to self.device_group
         try:
             print('[Connect Device]')
@@ -342,6 +590,102 @@ class MultiDongle:
             print("Warning: Could not get generic inference input descriptor from model.")
             self.generic_inference_input_descriptor = None
 
+    def _initialize_multi_series(self):
+        """Initialize multi-series mode"""
+        print('[Multi-Series Initialization]')
+        
+        # Initialize each series separately
+        for series_name, config in self.series_config.items():
+            print(f'[Initializing {series_name}]')
+            
+            # Get port IDs for this series
+            port_ids = config.get('port_ids', [])
+            if not port_ids:
+                print(f'Warning: No port IDs configured for {series_name}, skipping')
+                continue
+            
+            # Connect devices for this series
+            try:
+                print(f'  [Connect Devices] Port IDs: {port_ids}')
+                device_group = kp.core.connect_devices(usb_port_ids=port_ids)
+                self.device_groups[series_name] = device_group
+                print(f'  - Success ({len(port_ids)} devices)')
+            except kp.ApiKPException as exception:
+                print(f'Error: connect devices failed for {series_name}, port IDs = {port_ids}, error = {str(exception)}')
+                continue
+            
+            # Upload firmware if available
+            firmware_paths = config.get('firmware_paths')
+            if firmware_paths and 'scpu' in firmware_paths and 'ncpu' in firmware_paths:
+                try:
+                    print(f'  [Upload Firmware]')
+                    kp.core.load_firmware_from_file(
+                        device_group=device_group,
+                        scpu_fw_path=firmware_paths['scpu'],
+                        ncpu_fw_path=firmware_paths['ncpu']
+                    )
+                    print(f'  - Success')
+                except kp.ApiKPException as exception:
+                    print(f'Error: upload firmware failed for {series_name}, error = {str(exception)}')
+                    continue
+            else:
+                print(f'  [Upload Firmware] - Skipped (no firmware paths configured)')
+            
+            # Upload model
+            model_path = config.get('model_path')
+            if model_path:
+                try:
+                    print(f'  [Upload Model]')
+                    model_descriptor = kp.core.load_model_from_file(
+                        device_group=device_group,
+                        file_path=model_path
+                    )
+                    self.model_descriptors[series_name] = model_descriptor
+                    print(f'  - Success')
+                    
+                    # Extract model input dimensions for this series
+                    if model_descriptor and model_descriptor.models:
+                        model = model_descriptor.models[0]
+                        if hasattr(model, 'input_nodes') and model.input_nodes:
+                            input_node = model.input_nodes[0]
+                            shape = input_node.tensor_shape_info.data.shape_npu
+                            model_input_shape = (shape[3], shape[2])  # (width, height)
+                            model_input_channels = shape[1]  # 3 for RGB
+                            print(f'  Model input shape: {model_input_shape}, channels: {model_input_channels}')
+                            
+                            # Store series-specific model info
+                            self.series_groups[series_name]['model_input_shape'] = model_input_shape
+                            self.series_groups[series_name]['model_input_channels'] = model_input_channels
+                        
+                except kp.ApiKPException as exception:
+                    print(f'Error: upload model failed for {series_name}, error = {str(exception)}')
+                    continue
+            else:
+                print(f'  [Upload Model] - Skipped (no model path configured)')
+        
+        print('[Multi-Series Initialization Complete]')
+        
+        # Set up legacy compatibility attributes using the first series
+        if self.device_groups:
+            first_series = next(iter(self.device_groups.keys()))
+            self.device_group = self.device_groups[first_series]
+            self.model_nef_descriptor = self.model_descriptors.get(first_series)
+            
+            # Set up generic inference descriptor from first series
+            if self.model_nef_descriptor:
+                self.generic_inference_input_descriptor = kp.GenericImageInferenceDescriptor(
+                    model_id=self.model_nef_descriptor.models[0].id,
+                )
+                
+                # Set model input shape from first series
+                if first_series in self.series_groups:
+                    series_info = self.series_groups[first_series]
+                    self.model_input_shape = series_info.get('model_input_shape', (640, 640))
+                    self.model_input_channels = series_info.get('model_input_channels', 3)
+                else:
+                    self.model_input_shape = (640, 640)
+                    self.model_input_channels = 3
+            
     def preprocess_frame(self, frame: np.ndarray, target_format: str = 'BGR565') -> np.ndarray:
         """
         Preprocess frame for inference
@@ -491,6 +835,13 @@ class MultiDongle:
         Start the send and receive threads.
         Must be called after initialize().
         """
+        if self.multi_series_mode:
+            self._start_multi_series()
+        else:
+            self._start_single_series()
+
+    def _start_single_series(self):
+        """Start single-series (legacy) mode"""
         if self.device_group is None:
             raise RuntimeError("MultiDongle not initialized. Call initialize() first.")
 
@@ -505,11 +856,62 @@ class MultiDongle:
             self._receive_thread.start()
             print("Receive thread started.")
 
+    def _start_multi_series(self):
+        """Start multi-series mode"""
+        if not self.device_groups:
+            raise RuntimeError("MultiDongle not initialized. Call initialize() first.")
+
+        print("[Starting Multi-Series Threads]")
+        self._stop_event.clear()
+
+        # Start dispatcher thread
+        if self.dispatcher_thread is None or not self.dispatcher_thread.is_alive():
+            self.dispatcher_thread = threading.Thread(target=self._dispatcher_thread_func, daemon=True)
+            self.dispatcher_thread.start()
+            print("Dispatcher thread started.")
+
+        # Start send/receive threads for each series
+        for series_name in self.device_groups.keys():
+            # Start send thread for this series
+            if series_name not in self.send_threads or not self.send_threads[series_name].is_alive():
+                send_thread = threading.Thread(
+                    target=self._multi_series_send_thread_func, 
+                    args=(series_name,), 
+                    daemon=True
+                )
+                self.send_threads[series_name] = send_thread
+                send_thread.start()
+                print(f"Send thread started for {series_name}.")
+
+            # Start receive thread for this series
+            if series_name not in self.receive_threads or not self.receive_threads[series_name].is_alive():
+                receive_thread = threading.Thread(
+                    target=self._multi_series_receive_thread_func, 
+                    args=(series_name,), 
+                    daemon=True
+                )
+                self.receive_threads[series_name] = receive_thread
+                receive_thread.start()
+                print(f"Receive thread started for {series_name}.")
+
+        # Start result ordering thread
+        if self.result_ordering_thread is None or not self.result_ordering_thread.is_alive():
+            self.result_ordering_thread = threading.Thread(target=self._result_ordering_thread_func, daemon=True)
+            self.result_ordering_thread.start()
+            print("Result ordering thread started.")
+    
     def stop(self):
         """Improved stop method with better cleanup"""
         if self._stop_event.is_set():
             return  # Already stopping
             
+        if self.multi_series_mode:
+            self._stop_multi_series()
+        else:
+            self._stop_single_series()
+
+    def _stop_single_series(self):
+        """Stop single-series (legacy) mode"""
         print("Stopping threads...")
         self._stop_event.set()
         
@@ -539,6 +941,248 @@ class MultiDongle:
                 print(f"Error disconnecting device group: {e}")
             self.device_group = None
 
+    def _stop_multi_series(self):
+        """Stop multi-series mode"""
+        print("[Stopping Multi-Series Threads]")
+        self._stop_event.set()
+        
+        # Clear input queue to unblock dispatcher
+        while not self._input_queue.empty():
+            try:
+                self._input_queue.get_nowait()
+            except queue.Empty:
+                break
+        
+        # Signal dispatcher thread to wake up
+        self._input_queue.put(None)
+        
+        # Clear series result queues
+        for series_name, result_queue in self.result_queues.items():
+            while not result_queue.empty():
+                try:
+                    result_queue.get_nowait()
+                except queue.Empty:
+                    break
+        
+        # Stop all send threads
+        for series_name, send_thread in self.send_threads.items():
+            if send_thread and send_thread.is_alive():
+                send_thread.join(timeout=2.0)
+                if send_thread.is_alive():
+                    print(f"Warning: Send thread for {series_name} didn't stop cleanly")
+        
+        # Stop all receive threads
+        for series_name, receive_thread in self.receive_threads.items():
+            if receive_thread and receive_thread.is_alive():
+                receive_thread.join(timeout=2.0)
+                if receive_thread.is_alive():
+                    print(f"Warning: Receive thread for {series_name} didn't stop cleanly")
+        
+        # Stop dispatcher thread
+        if self.dispatcher_thread and self.dispatcher_thread.is_alive():
+            self.dispatcher_thread.join(timeout=2.0)
+            if self.dispatcher_thread.is_alive():
+                print("Warning: Dispatcher thread didn't stop cleanly")
+        
+        # Stop result ordering thread
+        if self.result_ordering_thread and self.result_ordering_thread.is_alive():
+            self.result_ordering_thread.join(timeout=2.0)
+            if self.result_ordering_thread.is_alive():
+                print("Warning: Result ordering thread didn't stop cleanly")
+        
+        # Disconnect all device groups
+        print("Disconnecting device groups...")
+        for series_name, device_group in self.device_groups.items():
+            try:
+                kp.core.disconnect_devices(device_group=device_group)
+                print(f"Device group for {series_name} disconnected successfully.")
+            except kp.ApiKPException as e:
+                print(f"Error disconnecting device group for {series_name}: {e}")
+        
+        self.device_groups.clear()
+
+    def _dispatcher_thread_func(self):
+        """Dispatcher thread: assigns tasks to dongles based on load balancing"""
+        print("Dispatcher thread started")
+        
+        while not self._stop_event.is_set():
+            try:
+                task = self._input_queue.get(timeout=0.1)
+                if task is None:  # Sentinel value
+                    continue
+                
+                # Select optimal dongle based on current load and capacity
+                selected_series = self._select_optimal_series()
+                if selected_series is None:
+                    print("Warning: No series available for task dispatch")
+                    continue
+                
+                # Enqueue to selected series
+                self.result_queues[selected_series].put(task)
+                self.current_loads[selected_series] += 1
+                
+            except queue.Empty:
+                continue
+            except Exception as e:
+                print(f"Error in dispatcher: {e}")
+                if not self._stop_event.is_set():
+                    self._stop_event.set()
+                    
+        print("Dispatcher thread stopped")
+
+    def _multi_series_send_thread_func(self, series_name: str):
+        """Send thread for specific dongle series - with tuple handling fix"""
+        print(f"Send worker started for {series_name}")
+        
+        device_group = self.device_groups[series_name]
+        result_queue = self.result_queues[series_name]
+        model_descriptor = self.model_descriptors[series_name]
+        
+        while not self._stop_event.is_set():
+            try:
+                task = result_queue.get(timeout=0.1)
+                if task is None:
+                    continue
+                
+                # Handle both tuple and dict formats
+                if isinstance(task, tuple):
+                    # Legacy single-series format: (image_data, image_format)
+                    image_data, image_format = task
+                    sequence_id = getattr(self, '_inference_counter', 0)
+                    self._inference_counter = sequence_id + 1
+                elif isinstance(task, dict):
+                    # Multi-series format: dict with keys
+                    image_data = task.get('image_data')
+                    image_format = task.get('image_format', kp.ImageFormat.KP_IMAGE_FORMAT_RGB565)
+                    sequence_id = task.get('sequence_id', 0)
+                else:
+                    print(f"Error: Unknown task format: {type(task)}")
+                    continue
+                
+                if image_data is None:
+                    print(f"Error: No image data in task")
+                    continue
+                
+                # Create inference descriptor for this task
+                inference_descriptor = kp.GenericImageInferenceDescriptor(
+                    model_id=model_descriptor.models[0].id,
+                )
+                inference_descriptor.inference_number = sequence_id
+                
+                inference_descriptor.input_node_image_list = [
+                    kp.GenericInputNodeImage(
+                        image=image_data,
+                        image_format=image_format,
+                        resize_mode=kp.ResizeMode.KP_RESIZE_ENABLE,
+                        padding_mode=kp.PaddingMode.KP_PADDING_CORNER,
+                        normalize_mode=kp.NormalizeMode.KP_NORMALIZE_KNERON
+                    )
+                ]
+                
+                # Send inference
+                kp.inference.generic_image_inference_send(
+                    device_group=device_group,
+                    generic_inference_input_descriptor=inference_descriptor
+                )
+                
+            except queue.Empty:
+                continue
+            except kp.ApiKPException as e:
+                print(f"Error in {series_name} send worker: {e}")
+                if not self._stop_event.is_set():
+                    self._stop_event.set()
+            except Exception as e:
+                print(f"Unexpected error in {series_name} send worker: {e}")
+                if not self._stop_event.is_set():
+                    self._stop_event.set()
+                    
+        print(f"Send worker stopped for {series_name}")
+
+    def _multi_series_receive_thread_func(self, series_name: str):
+        """Receive thread for specific dongle series"""
+        print(f"Receive worker started for {series_name}")
+        
+        device_group = self.device_groups[series_name]
+        
+        while not self._stop_event.is_set():
+            try:
+                # Receive inference result
+                raw_result = kp.inference.generic_image_inference_receive(device_group=device_group)
+                
+                # Create result object
+                result = {
+                    'sequence_id': raw_result.header.inference_number,
+                    'result': raw_result,
+                    'dongle_series': series_name,
+                    'timestamp': time.time()
+                }
+                
+                # Add to pending results for ordering
+                self.pending_results[result['sequence_id']] = result
+                self.current_loads[series_name] = max(0, self.current_loads[series_name] - 1)
+                
+            except kp.ApiKPException as e:
+                if not self._stop_event.is_set():
+                    print(f"Error in {series_name} receive worker: {e}")
+                    self._stop_event.set()
+            except Exception as e:
+                print(f"Unexpected error in {series_name} receive worker: {e}")
+                
+        print(f"Receive worker stopped for {series_name}")
+
+    def _result_ordering_thread_func(self):
+        """Result ordering thread: ensures results are output in sequence order"""
+        print("Result ordering worker started")
+        
+        # Track when we started waiting for each sequence
+        sequence_wait_times = {}
+        MAX_WAIT_TIME = 2.0  # Maximum wait time for slow sequences (seconds)
+        
+        while not self._stop_event.is_set():
+            current_time = time.time()
+            
+            # Check if next expected result is available
+            if self.next_output_sequence in self.pending_results:
+                result = self.pending_results.pop(self.next_output_sequence)
+                self._ordered_output_queue.put(result)
+                
+                # Remove from wait tracking
+                sequence_wait_times.pop(self.next_output_sequence, None)
+                self.next_output_sequence += 1
+                
+                # Clean up old pending results to prevent memory bloat
+                if len(self.pending_results) > 1000:  # result_buffer_size
+                    oldest_sequences = sorted(self.pending_results.keys())[:500]
+                    for seq_id in oldest_sequences:
+                        if seq_id < self.next_output_sequence:
+                            self.pending_results.pop(seq_id, None)
+            else:
+                # Track how long we've been waiting for this sequence
+                if self.next_output_sequence not in sequence_wait_times:
+                    sequence_wait_times[self.next_output_sequence] = current_time
+                
+                # Check if we've been waiting too long
+                wait_time = current_time - sequence_wait_times[self.next_output_sequence]
+                if wait_time > MAX_WAIT_TIME:
+                    print(f"Warning: Skipping sequence {self.next_output_sequence} after {wait_time:.2f}s timeout")
+                    
+                    # Create a timeout result
+                    timeout_result = {
+                        'sequence_id': self.next_output_sequence,
+                        'result': {'error': 'timeout', 'probability': 0.0, 'result_string': 'Timeout'},
+                        'dongle_series': 'timeout',
+                        'timestamp': current_time
+                    }
+                    self._ordered_output_queue.put(timeout_result)
+                    
+                    # Remove from wait tracking and advance sequence
+                    sequence_wait_times.pop(self.next_output_sequence, None)
+                    self.next_output_sequence += 1
+                else:
+                    time.sleep(0.001)  # Small delay to prevent busy waiting
+                
+        print("Result ordering worker stopped")
+        
     def put_input(self, image: Union[str, np.ndarray], format: str, target_size: Tuple[int, int] = None):
         """
         Put an image into the input queue with flexible preprocessing
@@ -560,7 +1204,22 @@ class MultiDongle:
         else:
             raise ValueError(f"Unsupported format: {format}")
 
-        self._input_queue.put((image_data, image_format_enum))
+        if self.multi_series_mode:
+            # In multi-series mode, create a task with sequence ID
+            with self.sequence_lock:
+                sequence_id = self.sequence_counter
+                self.sequence_counter += 1
+            
+            task = {
+                'sequence_id': sequence_id,
+                'image_data': image_data,
+                'image_format': image_format_enum,
+                'timestamp': time.time()
+            }
+            self._input_queue.put(task)
+        else:
+            # In single-series mode, use the original format
+            self._input_queue.put((image_data, image_format_enum))
 
     def get_output(self, timeout: float = None):
         """
@@ -570,7 +1229,15 @@ class MultiDongle:
         :return: Received data (e.g., kp.GenericInferenceOutputDescriptor) or None if no data available within timeout.
         """
         try:
-            return self._output_queue.get(block=timeout is not None, timeout=timeout)
+            if self.multi_series_mode:
+                # In multi-series mode, use the ordered output queue
+                result = self._ordered_output_queue.get(block=timeout is not None, timeout=timeout)
+                if result and isinstance(result, dict):
+                    return result.get('result')  # Extract the actual inference result
+                return result
+            else:
+                # In single-series mode, use the regular output queue
+                return self._output_queue.get(block=timeout is not None, timeout=timeout)
         except queue.Empty:
             return None
 
@@ -637,7 +1304,7 @@ class MultiDongle:
             'kl720': 'KL720',
             'kl630': 'KL630',
             'kl730': 'KL730',
-            'kl540': 'KL540',
+            # 'kl540': 'KL540',
         }
         
         if isinstance(chip_id, str):

core/functions/demo_topology_clean.py

@@ -1,375 +0,0 @@
-#!/usr/bin/env python3
-"""
-智慧拓撲排序算法演示 (獨立版本)
-
-不依賴外部模組，純粹展示拓撲排序算法的核心功能
-"""
-
-import json
-from typing import List, Dict, Any, Tuple
-from collections import deque
-
-class TopologyDemo:
-    """演示拓撲排序算法的類別"""
-    
-    def __init__(self):
-        self.stage_order = []
-        
-    def analyze_pipeline(self, pipeline_data: Dict[str, Any]):
-        """分析pipeline並執行拓撲排序"""
-        print("Starting intelligent pipeline topology analysis...")
-        
-        # 提取模型節點
-        model_nodes = [node for node in pipeline_data.get('nodes', []) 
-                      if 'model' in node.get('type', '').lower()]
-        connections = pipeline_data.get('connections', [])
-        
-        if not model_nodes:
-            print("   Warning: No model nodes found!")
-            return []
-            
-        # 建立依賴圖
-        dependency_graph = self._build_dependency_graph(model_nodes, connections)
-        
-        # 檢測循環
-        cycles = self._detect_cycles(dependency_graph)
-        if cycles:
-            print(f"   Warning: Found {len(cycles)} cycles!")
-            dependency_graph = self._resolve_cycles(dependency_graph, cycles)
-        
-        # 執行拓撲排序
-        sorted_stages = self._topological_sort_with_optimization(dependency_graph, model_nodes)
-        
-        # 計算指標
-        metrics = self._calculate_pipeline_metrics(sorted_stages, dependency_graph)
-        self._display_pipeline_analysis(sorted_stages, metrics)
-        
-        return sorted_stages
-    
-    def _build_dependency_graph(self, model_nodes: List[Dict], connections: List[Dict]) -> Dict[str, Dict]:
-        """建立依賴圖"""
-        print("   Building dependency graph...")
-        
-        graph = {}
-        for node in model_nodes:
-            graph[node['id']] = {
-                'node': node,
-                'dependencies': set(),
-                'dependents': set(),
-                'depth': 0
-            }
-        
-        # 分析連接
-        for conn in connections:
-            output_node_id = conn.get('output_node')
-            input_node_id = conn.get('input_node')
-            
-            if output_node_id in graph and input_node_id in graph:
-                graph[input_node_id]['dependencies'].add(output_node_id)
-                graph[output_node_id]['dependents'].add(input_node_id)
-        
-        dep_count = sum(len(data['dependencies']) for data in graph.values())
-        print(f"   Graph built: {len(graph)} nodes, {dep_count} dependencies")
-        return graph
-    
-    def _detect_cycles(self, graph: Dict[str, Dict]) -> List[List[str]]:
-        """檢測循環"""
-        print("   Checking for dependency cycles...")
-        
-        cycles = []
-        visited = set()
-        rec_stack = set()
-        
-        def dfs_cycle_detect(node_id, path):
-            if node_id in rec_stack:
-                cycle_start = path.index(node_id)
-                cycle = path[cycle_start:] + [node_id]
-                cycles.append(cycle)
-                return True
-                
-            if node_id in visited:
-                return False
-                
-            visited.add(node_id)
-            rec_stack.add(node_id)
-            path.append(node_id)
-            
-            for dependent in graph[node_id]['dependents']:
-                if dfs_cycle_detect(dependent, path):
-                    return True
-                    
-            path.pop()
-            rec_stack.remove(node_id)
-            return False
-        
-        for node_id in graph:
-            if node_id not in visited:
-                dfs_cycle_detect(node_id, [])
-        
-        if cycles:
-            print(f"   Warning: Found {len(cycles)} cycles")
-        else:
-            print("   No cycles detected")
-            
-        return cycles
-    
-    def _resolve_cycles(self, graph: Dict[str, Dict], cycles: List[List[str]]) -> Dict[str, Dict]:
-        """解決循環"""
-        print("   Resolving dependency cycles...")
-        
-        for cycle in cycles:
-            node_names = [graph[nid]['node']['name'] for nid in cycle]
-            print(f"      Breaking cycle: {' → '.join(node_names)}")
-            
-            if len(cycle) >= 2:
-                node_to_break = cycle[-2]
-                dependent_to_break = cycle[-1]
-                
-                graph[dependent_to_break]['dependencies'].discard(node_to_break)
-                graph[node_to_break]['dependents'].discard(dependent_to_break)
-                
-                print(f"      Broke dependency: {graph[node_to_break]['node']['name']} → {graph[dependent_to_break]['node']['name']}")
-        
-        return graph
-    
-    def _topological_sort_with_optimization(self, graph: Dict[str, Dict], model_nodes: List[Dict]) -> List[Dict]:
-        """執行優化的拓撲排序"""
-        print("   Performing optimized topological sort...")
-        
-        # 計算深度層級
-        self._calculate_depth_levels(graph)
-        
-        # 按深度分組
-        depth_groups = self._group_by_depth(graph)
-        
-        # 排序
-        sorted_nodes = []
-        for depth in sorted(depth_groups.keys()):
-            group_nodes = depth_groups[depth]
-            
-            group_nodes.sort(key=lambda nid: (
-                len(graph[nid]['dependencies']),
-                -len(graph[nid]['dependents']),
-                graph[nid]['node']['name']
-            ))
-            
-            for node_id in group_nodes:
-                sorted_nodes.append(graph[node_id]['node'])
-                
-        print(f"   Sorted {len(sorted_nodes)} stages into {len(depth_groups)} execution levels")
-        return sorted_nodes
-    
-    def _calculate_depth_levels(self, graph: Dict[str, Dict]):
-        """計算深度層級"""
-        print("      Calculating execution depth levels...")
-        
-        no_deps = [nid for nid, data in graph.items() if not data['dependencies']]
-        queue = deque([(nid, 0) for nid in no_deps])
-        
-        while queue:
-            node_id, depth = queue.popleft()
-            
-            if graph[node_id]['depth'] < depth:
-                graph[node_id]['depth'] = depth
-                
-                for dependent in graph[node_id]['dependents']:
-                    queue.append((dependent, depth + 1))
-    
-    def _group_by_depth(self, graph: Dict[str, Dict]) -> Dict[int, List[str]]:
-        """按深度分組"""
-        depth_groups = {}
-        
-        for node_id, data in graph.items():
-            depth = data['depth']
-            if depth not in depth_groups:
-                depth_groups[depth] = []
-            depth_groups[depth].append(node_id)
-            
-        return depth_groups
-    
-    def _calculate_pipeline_metrics(self, sorted_stages: List[Dict], graph: Dict[str, Dict]) -> Dict[str, Any]:
-        """計算指標"""
-        print("   Calculating pipeline metrics...")
-        
-        total_stages = len(sorted_stages)
-        max_depth = max([data['depth'] for data in graph.values()]) + 1 if graph else 1
-        
-        depth_distribution = {}
-        for data in graph.values():
-            depth = data['depth']
-            depth_distribution[depth] = depth_distribution.get(depth, 0) + 1
-            
-        max_parallel = max(depth_distribution.values()) if depth_distribution else 1
-        critical_path = self._find_critical_path(graph)
-        
-        return {
-            'total_stages': total_stages,
-            'pipeline_depth': max_depth,
-            'max_parallel_stages': max_parallel,
-            'parallelization_efficiency': (total_stages / max_depth) if max_depth > 0 else 1.0,
-            'critical_path_length': len(critical_path),
-            'critical_path': critical_path
-        }
-    
-    def _find_critical_path(self, graph: Dict[str, Dict]) -> List[str]:
-        """找出關鍵路徑"""
-        longest_path = []
-        
-        def dfs_longest_path(node_id, current_path):
-            nonlocal longest_path
-            
-            current_path.append(node_id)
-            
-            if not graph[node_id]['dependents']:
-                if len(current_path) > len(longest_path):
-                    longest_path = current_path.copy()
-            else:
-                for dependent in graph[node_id]['dependents']:
-                    dfs_longest_path(dependent, current_path)
-                    
-            current_path.pop()
-        
-        for node_id, data in graph.items():
-            if not data['dependencies']:
-                dfs_longest_path(node_id, [])
-                
-        return longest_path
-    
-    def _display_pipeline_analysis(self, sorted_stages: List[Dict], metrics: Dict[str, Any]):
-        """顯示分析結果"""
-        print("\n" + "="*60)
-        print("INTELLIGENT PIPELINE TOPOLOGY ANALYSIS COMPLETE")
-        print("="*60)
-        
-        print(f"Pipeline Metrics:")
-        print(f"   Total Stages: {metrics['total_stages']}")
-        print(f"   Pipeline Depth: {metrics['pipeline_depth']} levels")
-        print(f"   Max Parallel Stages: {metrics['max_parallel_stages']}")
-        print(f"   Parallelization Efficiency: {metrics['parallelization_efficiency']:.1%}")
-        
-        print(f"\nOptimized Execution Order:")
-        for i, stage in enumerate(sorted_stages, 1):
-            print(f"   {i:2d}. {stage['name']} (ID: {stage['id'][:8]}...)")
-        
-        if metrics['critical_path']:
-            print(f"\nCritical Path ({metrics['critical_path_length']} stages):")
-            critical_names = []
-            for node_id in metrics['critical_path']:
-                node_name = next((stage['name'] for stage in sorted_stages if stage['id'] == node_id), 'Unknown')
-                critical_names.append(node_name)
-            print(f"   {' → '.join(critical_names)}")
-        
-        print(f"\nPerformance Insights:")
-        if metrics['parallelization_efficiency'] > 0.8:
-            print("   Excellent parallelization potential!")
-        elif metrics['parallelization_efficiency'] > 0.6:
-            print("   Good parallelization opportunities available")
-        else:
-            print("   Limited parallelization - consider pipeline redesign")
-            
-        if metrics['pipeline_depth'] <= 3:
-            print("   Low latency pipeline - great for real-time applications")
-        elif metrics['pipeline_depth'] <= 6:
-            print("   Balanced pipeline depth - good throughput/latency trade-off")
-        else:
-            print("   Deep pipeline - optimized for maximum throughput")
-            
-        print("="*60 + "\n")
-
-def create_demo_pipelines():
-    """創建演示用的pipeline"""
-    
-    # Demo 1: 簡單線性pipeline
-    simple_pipeline = {
-        "project_name": "Simple Linear Pipeline",
-        "nodes": [
-            {"id": "model_001", "name": "Object Detection", "type": "ExactModelNode"},
-            {"id": "model_002", "name": "Fire Classification", "type": "ExactModelNode"},
-            {"id": "model_003", "name": "Result Verification", "type": "ExactModelNode"}
-        ],
-        "connections": [
-            {"output_node": "model_001", "input_node": "model_002"},
-            {"output_node": "model_002", "input_node": "model_003"}
-        ]
-    }
-    
-    # Demo 2: 並行pipeline
-    parallel_pipeline = {
-        "project_name": "Parallel Processing Pipeline",
-        "nodes": [
-            {"id": "model_001", "name": "RGB Processor", "type": "ExactModelNode"},
-            {"id": "model_002", "name": "IR Processor", "type": "ExactModelNode"},
-            {"id": "model_003", "name": "Depth Processor", "type": "ExactModelNode"},
-            {"id": "model_004", "name": "Fusion Engine", "type": "ExactModelNode"}
-        ],
-        "connections": [
-            {"output_node": "model_001", "input_node": "model_004"},
-            {"output_node": "model_002", "input_node": "model_004"},
-            {"output_node": "model_003", "input_node": "model_004"}
-        ]
-    }
-    
-    # Demo 3: 複雜多層pipeline
-    complex_pipeline = {
-        "project_name": "Advanced Multi-Stage Fire Detection Pipeline",
-        "nodes": [
-            {"id": "model_rgb_001", "name": "RGB Feature Extractor", "type": "ExactModelNode"},
-            {"id": "model_edge_002", "name": "Edge Feature Extractor", "type": "ExactModelNode"},
-            {"id": "model_thermal_003", "name": "Thermal Feature Extractor", "type": "ExactModelNode"},
-            {"id": "model_fusion_004", "name": "Feature Fusion", "type": "ExactModelNode"},
-            {"id": "model_attention_005", "name": "Attention Mechanism", "type": "ExactModelNode"},
-            {"id": "model_classifier_006", "name": "Fire Classifier", "type": "ExactModelNode"}
-        ],
-        "connections": [
-            {"output_node": "model_rgb_001", "input_node": "model_fusion_004"},
-            {"output_node": "model_edge_002", "input_node": "model_fusion_004"},
-            {"output_node": "model_thermal_003", "input_node": "model_attention_005"},
-            {"output_node": "model_fusion_004", "input_node": "model_classifier_006"},
-            {"output_node": "model_attention_005", "input_node": "model_classifier_006"}
-        ]
-    }
-    
-    # Demo 4: 有循環的pipeline (測試循環檢測)
-    cycle_pipeline = {
-        "project_name": "Pipeline with Cycles (Testing)",
-        "nodes": [
-            {"id": "model_A", "name": "Model A", "type": "ExactModelNode"},
-            {"id": "model_B", "name": "Model B", "type": "ExactModelNode"},
-            {"id": "model_C", "name": "Model C", "type": "ExactModelNode"}
-        ],
-        "connections": [
-            {"output_node": "model_A", "input_node": "model_B"},
-            {"output_node": "model_B", "input_node": "model_C"},
-            {"output_node": "model_C", "input_node": "model_A"}  # 創建循環!
-        ]
-    }
-    
-    return [simple_pipeline, parallel_pipeline, complex_pipeline, cycle_pipeline]
-
-def main():
-    """主演示函數"""
-    print("INTELLIGENT PIPELINE TOPOLOGY SORTING DEMONSTRATION")
-    print("="*60)
-    print("This demo showcases our advanced pipeline analysis capabilities:")
-    print("• Automatic dependency resolution")
-    print("• Parallel execution optimization")
-    print("• Cycle detection and prevention")
-    print("• Critical path analysis")
-    print("• Performance metrics calculation")
-    print("="*60 + "\n")
-    
-    demo = TopologyDemo()
-    pipelines = create_demo_pipelines()
-    demo_names = ["Simple Linear", "Parallel Processing", "Complex Multi-Stage", "Cycle Detection"]
-    
-    for i, (pipeline, name) in enumerate(zip(pipelines, demo_names), 1):
-        print(f"DEMO {i}: {name} Pipeline")
-        print("="*50)
-        demo.analyze_pipeline(pipeline)
-        print("\n")
-    
-    print("ALL DEMONSTRATIONS COMPLETED SUCCESSFULLY!")
-    print("Ready for production deployment and progress reporting!")
-
-if __name__ == "__main__":
-    main()

core/functions/mflow_converter.py

@@ -463,6 +463,72 @@ class MFlowConverter:
             
         print("="*60 + "\n")
     
+    def _build_multi_series_config_from_properties(self, properties: Dict[str, Any]) -> Dict[str, Any]:
+        """Build multi-series configuration from node properties"""
+        try:
+            enabled_series = properties.get('enabled_series', [])
+            assets_folder = properties.get('assets_folder', '')
+            
+            if not enabled_series:
+                print("Warning: No enabled_series found in multi-series mode")
+                return {}
+            
+            multi_series_config = {}
+            
+            for series in enabled_series:
+                # Get port IDs for this series
+                port_ids_str = properties.get(f'kl{series}_port_ids', '')
+                if not port_ids_str or not port_ids_str.strip():
+                    print(f"Warning: No port IDs configured for KL{series}")
+                    continue
+                
+                # Parse port IDs (comma-separated string to list of integers)
+                try:
+                    port_ids = [int(pid.strip()) for pid in port_ids_str.split(',') if pid.strip()]
+                    if not port_ids:
+                        continue
+                except ValueError:
+                    print(f"Warning: Invalid port IDs for KL{series}: {port_ids_str}")
+                    continue
+                
+                # Build series configuration
+                series_config = {
+                    "port_ids": port_ids
+                }
+                
+                # Add model path if assets folder is configured
+                if assets_folder:
+                    import os
+                    model_folder = os.path.join(assets_folder, 'Models', f'KL{series}')
+                    if os.path.exists(model_folder):
+                        # Look for .nef files in the model folder
+                        nef_files = [f for f in os.listdir(model_folder) if f.endswith('.nef')]
+                        if nef_files:
+                            series_config["model_path"] = os.path.join(model_folder, nef_files[0])
+                            print(f"Found model for KL{series}: {series_config['model_path']}")
+                    
+                    # Add firmware paths if available
+                    firmware_folder = os.path.join(assets_folder, 'Firmware', f'KL{series}')
+                    if os.path.exists(firmware_folder):
+                        scpu_path = os.path.join(firmware_folder, 'fw_scpu.bin')
+                        ncpu_path = os.path.join(firmware_folder, 'fw_ncpu.bin')
+                        
+                        if os.path.exists(scpu_path) and os.path.exists(ncpu_path):
+                            series_config["firmware_paths"] = {
+                                "scpu": scpu_path,
+                                "ncpu": ncpu_path
+                            }
+                            print(f"Found firmware for KL{series}: scpu={scpu_path}, ncpu={ncpu_path}")
+                
+                multi_series_config[f'KL{series}'] = series_config
+                print(f"Configured KL{series} with {len(port_ids)} devices on ports {port_ids}")
+            
+            return multi_series_config if multi_series_config else {}
+            
+        except Exception as e:
+            print(f"Error building multi-series config from properties: {e}")
+            return {}
+    
     def _create_stage_configs(self, model_nodes: List[Dict], preprocess_nodes: List[Dict], 
                             postprocess_nodes: List[Dict], connections: List[Dict]) -> List[StageConfig]:
         """Create StageConfig objects for each model node"""
@@ -502,16 +568,38 @@ class MFlowConverter:
             # Queue size
             max_queue_size = properties.get('max_queue_size', 50)
             
-            # Create StageConfig
+            # Check if multi-series mode is enabled
-            stage_config = StageConfig(
+            multi_series_mode = properties.get('multi_series_mode', False)
-                stage_id=stage_id,
+            multi_series_config = None
-                port_ids=port_ids,
+            
-                scpu_fw_path=scpu_fw_path,
+            if multi_series_mode:
-                ncpu_fw_path=ncpu_fw_path,
+                # Build multi-series config from node properties
-                model_path=model_path,
+                multi_series_config = self._build_multi_series_config_from_properties(properties)
-                upload_fw=upload_fw,
+                print(f"Multi-series config for {stage_id}: {multi_series_config}")
-                max_queue_size=max_queue_size
+                
-            )
+                # Create StageConfig for multi-series mode
+                stage_config = StageConfig(
+                    stage_id=stage_id,
+                    port_ids=[],  # Will be handled by multi_series_config
+                    scpu_fw_path='',  # Will be handled by multi_series_config
+                    ncpu_fw_path='',  # Will be handled by multi_series_config
+                    model_path='',  # Will be handled by multi_series_config
+                    upload_fw=upload_fw,
+                    max_queue_size=max_queue_size,
+                    multi_series_config=multi_series_config
+                )
+            else:
+                # Create StageConfig for single-series mode (legacy)
+                stage_config = StageConfig(
+                    stage_id=stage_id,
+                    port_ids=port_ids,
+                    scpu_fw_path=scpu_fw_path,
+                    ncpu_fw_path=ncpu_fw_path,
+                    model_path=model_path,
+                    upload_fw=upload_fw,
+                    max_queue_size=max_queue_size,
+                    multi_series_config=None
+                )
             
             stage_configs.append(stage_config)
             
@@ -625,22 +713,87 @@ class MFlowConverter:
         """Validate individual stage configuration"""
         errors = []
         
-        # Check model path
+        # Check if this is multi-series configuration
-        if not stage_config.model_path:
+        if stage_config.multi_series_config:
-            errors.append(f"Stage {stage_num}: Model path is required")
+            # Multi-series validation
-        elif not os.path.exists(stage_config.model_path):
+            errors.extend(self._validate_multi_series_config(stage_config.multi_series_config, stage_num))
-            errors.append(f"Stage {stage_num}: Model file not found: {stage_config.model_path}")
+        else:
+            # Single-series validation (legacy)
+            # Check model path
+            if not stage_config.model_path:
+                errors.append(f"Stage {stage_num}: Model path is required")
+            elif not os.path.exists(stage_config.model_path):
+                errors.append(f"Stage {stage_num}: Model file not found: {stage_config.model_path}")
                 
-        # Check firmware paths if upload_fw is True
+            # Check firmware paths if upload_fw is True
-        if stage_config.upload_fw:
+            if stage_config.upload_fw:
-            if not os.path.exists(stage_config.scpu_fw_path):
+                if not os.path.exists(stage_config.scpu_fw_path):
-                errors.append(f"Stage {stage_num}: SCPU firmware not found: {stage_config.scpu_fw_path}")
+                    errors.append(f"Stage {stage_num}: SCPU firmware not found: {stage_config.scpu_fw_path}")
-            if not os.path.exists(stage_config.ncpu_fw_path):
+                if not os.path.exists(stage_config.ncpu_fw_path):
-                errors.append(f"Stage {stage_num}: NCPU firmware not found: {stage_config.ncpu_fw_path}")
+                    errors.append(f"Stage {stage_num}: NCPU firmware not found: {stage_config.ncpu_fw_path}")
                     
-        # Check port IDs
+            # Check port IDs
-        if not stage_config.port_ids:
+            if not stage_config.port_ids:
-            errors.append(f"Stage {stage_num}: At least one port ID is required")
+                errors.append(f"Stage {stage_num}: At least one port ID is required")
+            
+        return errors
+    
+    def _validate_multi_series_config(self, multi_series_config: Dict[str, Any], stage_num: int) -> List[str]:
+        """Validate multi-series configuration"""
+        errors = []
+        
+        if not multi_series_config:
+            errors.append(f"Stage {stage_num}: Multi-series configuration is empty")
+            return errors
+        
+        print(f"Validating multi-series config for stage {stage_num}: {list(multi_series_config.keys())}")
+        
+        # Check each series configuration
+        for series_name, series_config in multi_series_config.items():
+            if not isinstance(series_config, dict):
+                errors.append(f"Stage {stage_num}: Invalid configuration for {series_name}")
+                continue
+            
+            # Check port IDs
+            port_ids = series_config.get('port_ids', [])
+            if not port_ids:
+                errors.append(f"Stage {stage_num}: {series_name} has no port IDs configured")
+                continue
+            
+            if not isinstance(port_ids, list) or not all(isinstance(p, int) for p in port_ids):
+                errors.append(f"Stage {stage_num}: {series_name} port IDs must be a list of integers")
+                continue
+            
+            print(f"  {series_name}: {len(port_ids)} ports configured")
+            
+            # Check model path
+            model_path = series_config.get('model_path')
+            if model_path:
+                if not os.path.exists(model_path):
+                    errors.append(f"Stage {stage_num}: {series_name} model file not found: {model_path}")
+                else:
+                    print(f"  {series_name}: Model validated: {model_path}")
+            else:
+                print(f"  {series_name}: No model path specified (optional for multi-series)")
+            
+            # Check firmware paths if specified
+            firmware_paths = series_config.get('firmware_paths')
+            if firmware_paths and isinstance(firmware_paths, dict):
+                scpu_path = firmware_paths.get('scpu')
+                ncpu_path = firmware_paths.get('ncpu')
+                
+                if scpu_path and not os.path.exists(scpu_path):
+                    errors.append(f"Stage {stage_num}: {series_name} SCPU firmware not found: {scpu_path}")
+                elif scpu_path:
+                    print(f"  {series_name}: SCPU firmware validated: {scpu_path}")
+                    
+                if ncpu_path and not os.path.exists(ncpu_path):
+                    errors.append(f"Stage {stage_num}: {series_name} NCPU firmware not found: {ncpu_path}")
+                elif ncpu_path:
+                    print(f"  {series_name}: NCPU firmware validated: {ncpu_path}")
+        
+        if not errors:
+            print(f"Stage {stage_num}: Multi-series configuration validation passed")
         
         return errors
 

core/nodes/exact_nodes.py

@@ -5,6 +5,8 @@ This module provides node implementations that exactly match the original
 properties and behavior from the monolithic UI.py file.
 """
 
+import os
+
 try:
     from NodeGraphQt import BaseNode
     NODEGRAPH_AVAILABLE = True
@@ -115,20 +117,60 @@ class ExactModelNode(BaseNode):
             self.create_property('port_id', '')
             self.create_property('upload_fw', True)
             
+            # Multi-series properties
+            self.create_property('multi_series_mode', False)
+            self.create_property('assets_folder', '')
+            self.create_property('enabled_series', ['520', '720'])
+            
+            # Series-specific port ID configurations
+            self.create_property('kl520_port_ids', '')
+            self.create_property('kl720_port_ids', '')
+            self.create_property('kl630_port_ids', '')
+            self.create_property('kl730_port_ids', '')
+            # self.create_property('kl540_port_ids', '')
+            
+            self.create_property('max_queue_size', 100)
+            self.create_property('result_buffer_size', 1000)
+            self.create_property('batch_size', 1)
+            self.create_property('enable_preprocessing', False)
+            self.create_property('enable_postprocessing', False)
+            
             # Original property options - exact match
             self._property_options = {
-                'dongle_series': ['520', '720', '1080', 'Custom'],
+                'dongle_series': ['520', '720'],
                 'num_dongles': {'min': 1, 'max': 16},
                 'model_path': {'type': 'file_path', 'filter': 'NEF Model files (*.nef)'},
                 'scpu_fw_path': {'type': 'file_path', 'filter': 'SCPU Firmware files (*.bin)'},
                 'ncpu_fw_path': {'type': 'file_path', 'filter': 'NCPU Firmware files (*.bin)'},
                 'port_id': {'placeholder': 'e.g., 8080 or auto'},
-                'upload_fw': {'type': 'bool', 'default': True, 'description': 'Upload firmware to dongle if needed'}
+                'upload_fw': {'type': 'bool', 'default': True, 'description': 'Upload firmware to dongle if needed'},
+                
+                # Multi-series property options
+                'multi_series_mode': {'type': 'bool', 'default': False, 'description': 'Enable multi-series dongle support'},
+                'assets_folder': {'type': 'file_path', 'filter': 'Folder', 'mode': 'directory'},
+                'enabled_series': {'type': 'list', 'options': ['520', '720', '630', '730', '540'], 'default': ['520', '720']},
+                
+                # Series-specific port ID options
+                'kl520_port_ids': {'placeholder': 'e.g., 28,32 (comma-separated port IDs for KL520)', 'description': 'Port IDs for KL520 dongles'},
+                'kl720_port_ids': {'placeholder': 'e.g., 30,34 (comma-separated port IDs for KL720)', 'description': 'Port IDs for KL720 dongles'},
+                'kl630_port_ids': {'placeholder': 'e.g., 36,38 (comma-separated port IDs for KL630)', 'description': 'Port IDs for KL630 dongles'},
+                'kl730_port_ids': {'placeholder': 'e.g., 40,42 (comma-separated port IDs for KL730)', 'description': 'Port IDs for KL730 dongles'},
+                # 'kl540_port_ids': {'placeholder': 'e.g., 44,46 (comma-separated port IDs for KL540)', 'description': 'Port IDs for KL540 dongles'},
+
+                'max_queue_size': {'min': 1, 'max': 1000, 'default': 100},
+                'result_buffer_size': {'min': 100, 'max': 10000, 'default': 1000},
+                'batch_size': {'min': 1, 'max': 32, 'default': 1},
+                'enable_preprocessing': {'type': 'bool', 'default': False},
+                'enable_postprocessing': {'type': 'bool', 'default': False}
             }
             
             # Create custom properties dictionary for UI compatibility
             self._populate_custom_properties()
             
+            # Set up custom property handlers for folder selection
+            if NODEGRAPH_AVAILABLE:
+                self._setup_custom_property_handlers()
+    
     def _populate_custom_properties(self):
         """Populate the custom properties dictionary for UI compatibility."""
         if not NODEGRAPH_AVAILABLE:
@@ -166,8 +208,400 @@ class ExactModelNode(BaseNode):
     
     def get_display_properties(self):
         """Return properties that should be displayed in the UI panel."""
-        # Customize which properties appear for Model nodes
+        if not NODEGRAPH_AVAILABLE:
-        return ['model_path', 'scpu_fw_path', 'ncpu_fw_path', 'dongle_series', 'num_dongles', 'port_id', 'upload_fw']
+            return []
+        
+        # Base properties that are always shown
+        base_props = ['multi_series_mode']
+        
+        try:
+            # Check if we're in multi-series mode
+            multi_series_mode = self.get_property('multi_series_mode')
+            
+            if multi_series_mode:
+                # Multi-series mode: show multi-series specific properties
+                multi_props = ['assets_folder', 'enabled_series']
+                
+                # Add port ID configurations for enabled series
+                try:
+                    enabled_series = self.get_property('enabled_series') or []
+                    for series in enabled_series:
+                        port_prop = f'kl{series}_port_ids'
+                        if port_prop not in multi_props:  # Avoid duplicates
+                            multi_props.append(port_prop)
+                except:
+                    pass  # If can't get enabled_series, just show basic properties
+                
+                # Add other multi-series properties
+                multi_props.extend([
+                    'max_queue_size', 'result_buffer_size', 'batch_size',
+                    'enable_preprocessing', 'enable_postprocessing'
+                ])
+                
+                return base_props + multi_props
+            else:
+                # Single-series mode: show traditional properties
+                return base_props + [
+                    'model_path', 'scpu_fw_path', 'ncpu_fw_path', 
+                    'dongle_series', 'num_dongles', 'port_id', 'upload_fw'
+                ]
+        except:
+            # Fallback to single-series mode if property access fails
+            return base_props + [
+                'model_path', 'scpu_fw_path', 'ncpu_fw_path', 
+                'dongle_series', 'num_dongles', 'port_id', 'upload_fw'
+            ]
+
+    def get_inference_config(self):
+        """Get configuration for inference pipeline"""
+        if not NODEGRAPH_AVAILABLE:
+            return {}
+        
+        try:
+            multi_series_mode = self.get_property('multi_series_mode')
+            
+            if multi_series_mode:
+                # Multi-series configuration with series-specific port IDs
+                config = {
+                    'multi_series_mode': True,
+                    'assets_folder': self.get_property('assets_folder'),
+                    'enabled_series': self.get_property('enabled_series'),
+                    'max_queue_size': self.get_property('max_queue_size'),
+                    'result_buffer_size': self.get_property('result_buffer_size'),
+                    'batch_size': self.get_property('batch_size'),
+                    'enable_preprocessing': self.get_property('enable_preprocessing'),
+                    'enable_postprocessing': self.get_property('enable_postprocessing')
+                }
+                
+                # Build multi-series config for MultiDongle
+                multi_series_config = self._build_multi_series_config()
+                if multi_series_config:
+                    config['multi_series_config'] = multi_series_config
+                
+                return config
+            else:
+                # Single-series configuration
+                return {
+                    'multi_series_mode': False,
+                    'model_path': self.get_property('model_path'),
+                    'scpu_fw_path': self.get_property('scpu_fw_path'),
+                    'ncpu_fw_path': self.get_property('ncpu_fw_path'),
+                    'dongle_series': self.get_property('dongle_series'),
+                    'num_dongles': self.get_property('num_dongles'),
+                    'port_id': self.get_property('port_id'),
+                    'upload_fw': self.get_property('upload_fw')
+                }
+        except:
+            # Fallback to single-series configuration
+            return {
+                'multi_series_mode': False,
+                'model_path': self.get_property('model_path', ''),
+                'scpu_fw_path': self.get_property('scpu_fw_path', ''),
+                'ncpu_fw_path': self.get_property('ncpu_fw_path', ''),
+                'dongle_series': self.get_property('dongle_series', '520'),
+                'num_dongles': self.get_property('num_dongles', 1),
+                'port_id': self.get_property('port_id', ''),
+                'upload_fw': self.get_property('upload_fw', True)
+            }
+
+    def _build_multi_series_config(self):
+        """Build multi-series configuration for MultiDongle"""
+        try:
+            enabled_series = self.get_property('enabled_series') or []
+            assets_folder = self.get_property('assets_folder') or ''
+            
+            if not enabled_series:
+                return None
+            
+            multi_series_config = {}
+            
+            for series in enabled_series:
+                # Get port IDs for this series
+                port_ids_str = self.get_property(f'kl{series}_port_ids') or ''
+                if not port_ids_str.strip():
+                    continue  # Skip series without port IDs
+                
+                # Parse port IDs (comma-separated string to list of integers)
+                try:
+                    port_ids = [int(pid.strip()) for pid in port_ids_str.split(',') if pid.strip()]
+                    if not port_ids:
+                        continue
+                except ValueError:
+                    print(f"Warning: Invalid port IDs for KL{series}: {port_ids_str}")
+                    continue
+                
+                # Build series configuration
+                series_config = {
+                    "port_ids": port_ids
+                }
+                
+                # Add model path if assets folder is configured
+                if assets_folder:
+                    import os
+                    model_folder = os.path.join(assets_folder, 'Models', f'KL{series}')
+                    if os.path.exists(model_folder):
+                        # Look for .nef files in the model folder
+                        nef_files = [f for f in os.listdir(model_folder) if f.endswith('.nef')]
+                        if nef_files:
+                            series_config["model_path"] = os.path.join(model_folder, nef_files[0])
+                    
+                    # Add firmware paths if available
+                    firmware_folder = os.path.join(assets_folder, 'Firmware', f'KL{series}')
+                    if os.path.exists(firmware_folder):
+                        scpu_path = os.path.join(firmware_folder, 'fw_scpu.bin')
+                        ncpu_path = os.path.join(firmware_folder, 'fw_ncpu.bin')
+                        
+                        if os.path.exists(scpu_path) and os.path.exists(ncpu_path):
+                            series_config["firmware_paths"] = {
+                                "scpu": scpu_path,
+                                "ncpu": ncpu_path
+                            }
+                
+                multi_series_config[f'KL{series}'] = series_config
+            
+            return multi_series_config if multi_series_config else None
+            
+        except Exception as e:
+            print(f"Error building multi-series config: {e}")
+            return None
+
+    def get_hardware_requirements(self):
+        """Get hardware requirements for this node"""
+        if not NODEGRAPH_AVAILABLE:
+            return {}
+        
+        try:
+            multi_series_mode = self.get_property('multi_series_mode')
+            
+            if multi_series_mode:
+                enabled_series = self.get_property('enabled_series')
+                return {
+                    'multi_series_mode': True,
+                    'required_series': enabled_series,
+                    'estimated_dongles': len(enabled_series) * 2  # Assume 2 dongles per series
+                }
+            else:
+                dongle_series = self.get_property('dongle_series')
+                num_dongles = self.get_property('num_dongles')
+                return {
+                    'multi_series_mode': False,
+                    'required_series': [f'KL{dongle_series}'],
+                    'estimated_dongles': num_dongles
+                }
+        except:
+            return {'multi_series_mode': False, 'required_series': ['KL520'], 'estimated_dongles': 1}
+
+    def _setup_custom_property_handlers(self):
+        """Setup custom property handlers, especially for folder selection."""
+        try:
+            # For assets_folder, we want to trigger folder selection dialog
+            # This might require custom widget or property handling
+            # For now, we'll use the standard approach but add validation
+            
+            # You can override the property widget here if needed
+            # This is a placeholder for custom folder selection implementation
+            pass
+        except Exception as e:
+            print(f"Warning: Could not setup custom property handlers: {e}")
+
+    def select_assets_folder(self):
+        """Method to open folder selection dialog for assets folder using improved utility."""
+        if not NODEGRAPH_AVAILABLE:
+            return ""
+            
+        try:
+            from utils.folder_dialog import select_assets_folder
+            
+            # Get current folder path as initial directory
+            current_folder = ""
+            try:
+                current_folder = self.get_property('assets_folder') or ""
+            except:
+                pass
+            
+            # Use the specialized assets folder dialog with validation
+            result = select_assets_folder(initial_dir=current_folder)
+            
+            if result['path']:
+                # Set the property
+                if NODEGRAPH_AVAILABLE:
+                    self.set_property('assets_folder', result['path'])
+                
+                # Print validation results
+                if result['valid']:
+                    print(f"✓ Valid Assets folder set to: {result['path']}")
+                    if 'details' in result and 'available_series' in result['details']:
+                        series = result['details']['available_series']
+                        print(f"  Available series: {', '.join(series)}")
+                else:
+                    print(f"⚠ Assets folder set to: {result['path']}")
+                    print(f"  Warning: {result['message']}")
+                    print("  Expected structure: Assets/Firmware/ and Assets/Models/ with series subfolders")
+                
+                return result['path']
+            else:
+                print("No folder selected")
+                return ""
+            
+        except ImportError:
+            print("utils.folder_dialog not available, falling back to simple input")
+            # Fallback to manual input
+            folder_path = input("Enter Assets folder path: ").strip()
+            if folder_path and NODEGRAPH_AVAILABLE:
+                self.set_property('assets_folder', folder_path)
+                return folder_path
+        except Exception as e:
+            print(f"Error selecting assets folder: {e}")
+            
+        return ""
+
+    def _validate_assets_folder(self, folder_path):
+        """Validate that the assets folder has the expected structure."""
+        try:
+            import os
+            
+            # Check if Firmware and Models folders exist
+            firmware_path = os.path.join(folder_path, 'Firmware')
+            models_path = os.path.join(folder_path, 'Models')
+            
+            has_firmware = os.path.exists(firmware_path) and os.path.isdir(firmware_path)
+            has_models = os.path.exists(models_path) and os.path.isdir(models_path)
+            
+            if not (has_firmware and has_models):
+                return False
+            
+            # Check for at least one series subfolder
+            expected_series = ['KL520', 'KL720', 'KL630', 'KL730']
+            
+            firmware_series = [d for d in os.listdir(firmware_path) 
+                             if os.path.isdir(os.path.join(firmware_path, d)) and d in expected_series]
+            
+            models_series = [d for d in os.listdir(models_path)
+                           if os.path.isdir(os.path.join(models_path, d)) and d in expected_series]
+            
+            # At least one series should exist in both firmware and models
+            return len(firmware_series) > 0 and len(models_series) > 0
+            
+        except Exception as e:
+            print(f"Error validating assets folder: {e}")
+            return False
+
+    def get_assets_folder_info(self):
+        """Get information about the configured assets folder."""
+        if not NODEGRAPH_AVAILABLE:
+            return {}
+            
+        try:
+            folder_path = self.get_property('assets_folder')
+            if not folder_path:
+                return {'status': 'not_set', 'message': 'No assets folder selected'}
+            
+            if not os.path.exists(folder_path):
+                return {'status': 'invalid', 'message': 'Selected folder does not exist'}
+            
+            info = {'status': 'valid', 'path': folder_path, 'series': []}
+            
+            # Get available series
+            firmware_path = os.path.join(folder_path, 'Firmware')
+            models_path = os.path.join(folder_path, 'Models')
+            
+            if os.path.exists(firmware_path):
+                firmware_series = [d for d in os.listdir(firmware_path) 
+                                 if os.path.isdir(os.path.join(firmware_path, d))]
+                info['firmware_series'] = firmware_series
+            
+            if os.path.exists(models_path):
+                models_series = [d for d in os.listdir(models_path)
+                               if os.path.isdir(os.path.join(models_path, d))]
+                info['models_series'] = models_series
+            
+            # Find common series
+            if 'firmware_series' in info and 'models_series' in info:
+                common_series = list(set(info['firmware_series']) & set(info['models_series']))
+                info['available_series'] = common_series
+                
+                if not common_series:
+                    info['status'] = 'incomplete'
+                    info['message'] = 'No series found with both firmware and models'
+            
+            return info
+            
+        except Exception as e:
+            return {'status': 'error', 'message': f'Error reading assets folder: {e}'}
+
+    def validate_configuration(self) -> tuple[bool, str]:
+        """
+        Validate the current node configuration.
+        
+        Returns:
+            Tuple of (is_valid, error_message)
+        """
+        if not NODEGRAPH_AVAILABLE:
+            return True, ""
+        
+        try:
+            multi_series_mode = self.get_property('multi_series_mode')
+            
+            if multi_series_mode:
+                # Multi-series validation
+                enabled_series = self.get_property('enabled_series')
+                if not enabled_series:
+                    return False, "No series enabled in multi-series mode"
+                
+                # Check if at least one series has port IDs configured
+                has_valid_series = False
+                for series in enabled_series:
+                    port_ids_str = self.get_property(f'kl{series}_port_ids', '')
+                    if port_ids_str and port_ids_str.strip():
+                        # Validate port ID format
+                        try:
+                            port_ids = [int(pid.strip()) for pid in port_ids_str.split(',') if pid.strip()]
+                            if port_ids:
+                                has_valid_series = True
+                                print(f"Valid series config found for KL{series}: ports {port_ids}")
+                        except ValueError:
+                            print(f"Warning: Invalid port ID format for KL{series}: {port_ids_str}")
+                            continue
+                
+                if not has_valid_series:
+                    return False, "At least one series must have valid port IDs configured"
+                
+                # Assets folder validation (optional for multi-series)
+                assets_folder = self.get_property('assets_folder')
+                if assets_folder:
+                    if not os.path.exists(assets_folder):
+                        print(f"Warning: Assets folder does not exist: {assets_folder}")
+                    else:
+                        # Validate assets folder structure if provided
+                        assets_info = self.get_assets_folder_info()
+                        if assets_info.get('status') == 'error':
+                            print(f"Warning: Assets folder issue: {assets_info.get('message', 'Unknown error')}")
+                
+                print("Multi-series mode validation passed")
+                return True, ""
+            else:
+                # Single-series validation (legacy)
+                model_path = self.get_property('model_path')
+                if not model_path:
+                    return False, "Model path is required"
+                
+                if not os.path.exists(model_path):
+                    return False, f"Model file does not exist: {model_path}"
+                
+                # Check dongle series
+                dongle_series = self.get_property('dongle_series')
+                if dongle_series not in ['520', '720', '1080', 'Custom']:
+                    return False, f"Invalid dongle series: {dongle_series}"
+                
+                # Check number of dongles
+                num_dongles = self.get_property('num_dongles')
+                if not isinstance(num_dongles, int) or num_dongles < 1:
+                    return False, "Number of dongles must be at least 1"
+                
+                return True, ""
+                
+        except Exception as e:
+            return False, f"Validation error: {str(e)}"
 
 
 class ExactPreprocessNode(BaseNode):

debug_deployment.py

@@ -0,0 +1,58 @@
+#!/usr/bin/env python3
+"""
+Debug deployment error
+"""
+
+import sys
+import os
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+def simulate_deployment():
+    """Simulate the deployment process to find the Optional error"""
+    try:
+        print("Testing export_pipeline_data equivalent...")
+        
+        # Simulate creating a node and getting properties
+        from core.nodes.exact_nodes import ExactModelNode
+        
+        # This would be similar to what dashboard does
+        node = ExactModelNode()
+        print("Node created")
+        
+        # Check if node has get_business_properties
+        if hasattr(node, 'get_business_properties'):
+            print("Node has get_business_properties")
+            try:
+                props = node.get_business_properties()
+                print(f"Properties extracted: {type(props)}")
+            except Exception as e:
+                print(f"Error in get_business_properties: {e}")
+                import traceback
+                traceback.print_exc()
+        
+        # Test the mflow converter directly
+        print("\nTesting MFlowConverter...")
+        from core.functions.mflow_converter import MFlowConverter
+        converter = MFlowConverter(default_fw_path='.')
+        print("MFlowConverter created successfully")
+        
+        # Test multi-series config building
+        test_props = {
+            'multi_series_mode': True,
+            'enabled_series': ['520', '720'],
+            'kl520_port_ids': '28,32',
+            'kl720_port_ids': '4'
+        }
+        
+        config = converter._build_multi_series_config_from_properties(test_props)
+        print(f"Multi-series config: {config}")
+        
+        print("All tests passed!")
+        
+    except Exception as e:
+        print(f"Error: {e}")
+        import traceback
+        traceback.print_exc()
+
+if __name__ == "__main__":
+    simulate_deployment()

debug_multi_series_flow.py

@@ -0,0 +1,90 @@
+#!/usr/bin/env python3
+"""
+Debug the multi-series configuration flow
+"""
+
+import sys
+import os
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+def test_full_flow():
+    """Test the complete multi-series configuration flow"""
+    print("=== Testing Multi-Series Configuration Flow ===")
+    
+    # Simulate node properties as they would appear in the UI
+    mock_node_properties = {
+        'multi_series_mode': True,
+        'enabled_series': ['520', '720'],
+        'kl520_port_ids': '28,32',
+        'kl720_port_ids': '4',
+        'assets_folder': '',
+        'max_queue_size': 100
+    }
+    
+    print(f"1. Mock node properties: {mock_node_properties}")
+    
+    # Test the mflow converter building multi-series config
+    try:
+        from core.functions.mflow_converter import MFlowConverter
+        converter = MFlowConverter(default_fw_path='.')
+        
+        config = converter._build_multi_series_config_from_properties(mock_node_properties)
+        print(f"2. Multi-series config built: {config}")
+        
+        if config:
+            print("   [OK] Multi-series config successfully built")
+            
+            # Test StageConfig creation
+            from core.functions.InferencePipeline import StageConfig
+            
+            stage_config = StageConfig(
+                stage_id="test_stage",
+                port_ids=[],  # Not used in multi-series
+                scpu_fw_path='',
+                ncpu_fw_path='',
+                model_path='',
+                upload_fw=False,
+                multi_series_mode=True,
+                multi_series_config=config
+            )
+            
+            print(f"3. StageConfig created with multi_series_mode: {stage_config.multi_series_mode}")
+            print(f"   Multi-series config: {stage_config.multi_series_config}")
+            
+            # Test what would happen in PipelineStage initialization
+            print("4. Testing PipelineStage initialization logic:")
+            if stage_config.multi_series_mode and stage_config.multi_series_config:
+                print("   [OK] Would initialize MultiDongle with multi_series_config")
+                print(f"   MultiDongle(multi_series_config={stage_config.multi_series_config})")
+            else:
+                print("   [ERROR] Would fall back to single-series mode")
+                
+        else:
+            print("   [ERROR] Multi-series config is None - this is the problem!")
+            
+    except Exception as e:
+        print(f"Error in flow test: {e}")
+        import traceback
+        traceback.print_exc()
+
+def test_node_direct():
+    """Test creating a node directly and getting its inference config"""
+    print("\n=== Testing Node Direct Configuration ===")
+    
+    try:
+        from core.nodes.exact_nodes import ExactModelNode
+        
+        # This won't work without NodeGraphQt, but let's see what happens
+        node = ExactModelNode()
+        print("Node created (mock mode)")
+        
+        # Test the get_business_properties method that would be called during export
+        props = node.get_business_properties()
+        print(f"Business properties: {props}")
+        
+    except Exception as e:
+        print(f"Error in node test: {e}")
+
+if __name__ == "__main__":
+    test_full_flow()
+    test_node_direct()

force_cleanup.py

@@ -0,0 +1,142 @@
+"""
+Force cleanup of all app data and processes
+"""
+
+import psutil
+import os
+import sys
+import time
+import tempfile
+
+def kill_all_python_processes():
+    """Force kill ALL Python processes (use with caution)"""
+    killed_processes = []
+    
+    for proc in psutil.process_iter(['pid', 'name', 'cmdline']):
+        try:
+            if 'python' in proc.info['name'].lower():
+                print(f"Killing Python process: {proc.info['pid']} - {proc.info['name']}")
+                proc.kill()
+                killed_processes.append(proc.info['pid'])
+        except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):
+            pass
+    
+    if killed_processes:
+        print(f"Killed {len(killed_processes)} Python processes")
+        time.sleep(3)  # Give more time for cleanup
+    else:
+        print("No Python processes found")
+
+def clear_shared_memory():
+    """Clear Qt shared memory"""
+    try:
+        from PyQt5.QtCore import QSharedMemory
+        app_names = ["Cluster4NPU", "cluster4npu", "main"]
+        
+        for app_name in app_names:
+            shared_mem = QSharedMemory(app_name)
+            if shared_mem.attach():
+                shared_mem.detach()
+                print(f"Cleared shared memory for: {app_name}")
+    except Exception as e:
+        print(f"Could not clear shared memory: {e}")
+
+def clean_all_temp_files():
+    """Remove all possible lock and temp files"""
+    possible_files = [
+        'app.lock',
+        '.app.lock',
+        'cluster4npu.lock',
+        '.cluster4npu.lock',
+        'main.lock',
+        '.main.lock'
+    ]
+    
+    # Check in current directory
+    current_dir_files = []
+    for filename in possible_files:
+        filepath = os.path.join(os.getcwd(), filename)
+        if os.path.exists(filepath):
+            try:
+                os.remove(filepath)
+                current_dir_files.append(filepath)
+                print(f"Removed: {filepath}")
+            except Exception as e:
+                print(f"Could not remove {filepath}: {e}")
+    
+    # Check in temp directory
+    temp_dir = tempfile.gettempdir()
+    temp_files = []
+    for filename in possible_files:
+        filepath = os.path.join(temp_dir, filename)
+        if os.path.exists(filepath):
+            try:
+                os.remove(filepath)
+                temp_files.append(filepath)
+                print(f"Removed: {filepath}")
+            except Exception as e:
+                print(f"Could not remove {filepath}: {e}")
+    
+    # Check in user home directory
+    home_dir = os.path.expanduser('~')
+    home_files = []
+    for filename in possible_files:
+        filepath = os.path.join(home_dir, filename)
+        if os.path.exists(filepath):
+            try:
+                os.remove(filepath)
+                home_files.append(filepath)
+                print(f"Removed: {filepath}")
+            except Exception as e:
+                print(f"Could not remove {filepath}: {e}")
+    
+    total_removed = len(current_dir_files) + len(temp_files) + len(home_files)
+    if total_removed == 0:
+        print("No lock files found")
+
+def force_unlock_files():
+    """Try to unlock any locked files"""
+    try:
+        # On Windows, try to reset file handles
+        import subprocess
+        result = subprocess.run(['tasklist', '/FI', 'IMAGENAME eq python.exe'], 
+                               capture_output=True, text=True, timeout=10)
+        if result.returncode == 0:
+            lines = result.stdout.strip().split('\n')
+            for line in lines[3:]:  # Skip header lines
+                if 'python.exe' in line:
+                    parts = line.split()
+                    if len(parts) >= 2:
+                        pid = parts[1]
+                        try:
+                            subprocess.run(['taskkill', '/F', '/PID', pid], timeout=5)
+                            print(f"Force killed PID: {pid}")
+                        except:
+                            pass
+    except Exception as e:
+        print(f"Could not force unlock files: {e}")
+
+if __name__ == '__main__':
+    print("FORCE CLEANUP - This will kill ALL Python processes!")
+    print("=" * 60)
+    
+    response = input("Are you sure? This will close ALL Python programs (y/N): ")
+    if response.lower() in ['y', 'yes']:
+        print("\n1. Killing all Python processes...")
+        kill_all_python_processes()
+        
+        print("\n2. Clearing shared memory...")
+        clear_shared_memory()
+        
+        print("\n3. Removing lock files...")
+        clean_all_temp_files()
+        
+        print("\n4. Force unlocking files...")
+        force_unlock_files()
+        
+        print("\n" + "=" * 60)
+        print("FORCE CLEANUP COMPLETE!")
+        print("All Python processes killed and lock files removed.")
+        print("You can now start the app with 'python main.py'")
+    else:
+        print("Cleanup cancelled.")

gentle_cleanup.py

@@ -0,0 +1,121 @@
+"""
+Gentle cleanup of app data (safer approach)
+"""
+
+import psutil
+import os
+import sys
+import time
+
+def find_and_kill_app_processes():
+    """Find and kill only the Cluster4NPU app processes"""
+    killed_processes = []
+    
+    for proc in psutil.process_iter(['pid', 'name', 'cmdline', 'cwd']):
+        try:
+            if 'python' in proc.info['name'].lower():
+                cmdline = proc.info['cmdline']
+                cwd = proc.info['cwd']
+                
+                # Check if this is our app
+                if (cmdline and 
+                    (any('main.py' in arg for arg in cmdline) or
+                     any('cluster4npu' in arg.lower() for arg in cmdline) or
+                     (cwd and 'cluster4npu' in cwd.lower()))):
+                    
+                    print(f"Found app process: {proc.info['pid']}")
+                    print(f"  Command: {' '.join(cmdline) if cmdline else 'N/A'}")
+                    print(f"  Working dir: {cwd}")
+                    
+                    # Try gentle termination first
+                    proc.terminate()
+                    time.sleep(2)
+                    
+                    # If still running, force kill
+                    if proc.is_running():
+                        proc.kill()
+                        print(f"  Force killed: {proc.info['pid']}")
+                    else:
+                        print(f"  Gently terminated: {proc.info['pid']}")
+                    
+                    killed_processes.append(proc.info['pid'])
+                    
+        except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):
+            pass
+    
+    if killed_processes:
+        print(f"\nKilled {len(killed_processes)} app processes")
+        time.sleep(2)
+    else:
+        print("No app processes found")
+
+def clear_app_locks():
+    """Remove only app-specific lock files"""
+    app_specific_locks = [
+        'cluster4npu.lock',
+        '.cluster4npu.lock',
+        'Cluster4NPU.lock',
+        'main.lock',
+        '.main.lock'
+    ]
+    
+    locations = [
+        os.getcwd(),  # Current directory
+        os.path.expanduser('~'),  # User home
+        os.path.join(os.path.expanduser('~'), '.cluster4npu'),  # App data dir
+        'C:\\temp' if os.name == 'nt' else '/tmp',  # System temp
+    ]
+    
+    removed_files = []
+    
+    for location in locations:
+        if not os.path.exists(location):
+            continue
+            
+        for lock_name in app_specific_locks:
+            lock_path = os.path.join(location, lock_name)
+            if os.path.exists(lock_path):
+                try:
+                    os.remove(lock_path)
+                    removed_files.append(lock_path)
+                    print(f"Removed lock: {lock_path}")
+                except Exception as e:
+                    print(f"Could not remove {lock_path}: {e}")
+    
+    if not removed_files:
+        print("No lock files found")
+
+def reset_shared_memory():
+    """Reset Qt shared memory for the app"""
+    try:
+        from PyQt5.QtCore import QSharedMemory
+        
+        shared_mem = QSharedMemory("Cluster4NPU")
+        if shared_mem.attach():
+            print("Found shared memory, detaching...")
+            shared_mem.detach()
+        
+        # Try to create and destroy to fully reset
+        if shared_mem.create(1):
+            shared_mem.detach()
+            print("Reset shared memory")
+            
+    except Exception as e:
+        print(f"Could not reset shared memory: {e}")
+
+if __name__ == '__main__':
+    print("Gentle App Cleanup")
+    print("=" * 30)
+    
+    print("\n1. Looking for app processes...")
+    find_and_kill_app_processes()
+    
+    print("\n2. Clearing app locks...")
+    clear_app_locks()
+    
+    print("\n3. Resetting shared memory...")
+    reset_shared_memory()
+    
+    print("\n" + "=" * 30)
+    print("Cleanup complete!")
+    print("You can now start the app with 'python main.py'")

kill_app_processes.py

@@ -0,0 +1,66 @@
+"""
+Kill any running app processes and clean up locks
+"""
+
+import psutil
+import os
+import sys
+import time
+
+def kill_python_processes():
+    """Kill any Python processes that might be running the app"""
+    killed_processes = []
+    
+    for proc in psutil.process_iter(['pid', 'name', 'cmdline']):
+        try:
+            # Check if it's a Python process
+            if 'python' in proc.info['name'].lower():
+                cmdline = proc.info['cmdline']
+                if cmdline and any('main.py' in arg for arg in cmdline):
+                    print(f"Killing process: {proc.info['pid']} - {' '.join(cmdline)}")
+                    proc.kill()
+                    killed_processes.append(proc.info['pid'])
+        except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):
+            pass
+    
+    if killed_processes:
+        print(f"Killed {len(killed_processes)} Python processes")
+        time.sleep(2)  # Give processes time to cleanup
+    else:
+        print("No running app processes found")
+
+def clean_lock_files():
+    """Remove any lock files that might prevent app startup"""
+    possible_lock_files = [
+        'app.lock',
+        '.app.lock',
+        'cluster4npu.lock',
+        os.path.expanduser('~/.cluster4npu.lock'),
+        '/tmp/cluster4npu.lock',
+        'C:\\temp\\cluster4npu.lock'
+    ]
+    
+    removed_files = []
+    for lock_file in possible_lock_files:
+        try:
+            if os.path.exists(lock_file):
+                os.remove(lock_file)
+                removed_files.append(lock_file)
+                print(f"Removed lock file: {lock_file}")
+        except Exception as e:
+            print(f"Could not remove {lock_file}: {e}")
+    
+    if removed_files:
+        print(f"Removed {len(removed_files)} lock files")
+    else:
+        print("No lock files found")
+
+if __name__ == '__main__':
+    print("Cleaning up app processes and lock files...")
+    print("=" * 50)
+    
+    kill_python_processes()
+    clean_lock_files()
+    
+    print("=" * 50)
+    print("Cleanup complete! You can now start the app with 'python main.py'")

main.py

@@ -41,60 +41,194 @@ from ui.windows.login import DashboardLogin
 
 
 class SingleInstance:
-    """Ensure only one instance of the application can run."""
+    """Enhanced single instance handler with better error recovery."""
     
     def __init__(self, app_name="Cluster4NPU"):
         self.app_name = app_name
         self.shared_memory = QSharedMemory(app_name)
         self.lock_file = None
         self.lock_fd = None
+        self.process_check_enabled = True
         
     def is_running(self):
-        """Check if another instance is already running."""
+        """Check if another instance is already running with recovery mechanisms."""
-        # Try to create shared memory
+        # First, try to detect and clean up stale instances
-        if self.shared_memory.attach():
+        if self._detect_and_cleanup_stale_instances():
-            # Another instance is already running
+            print("Cleaned up stale application instances")
+        
+        # Try shared memory approach
+        if self._check_shared_memory():
             return True
             
-        # Try to create the shared memory
+        # Try file locking approach
-        if not self.shared_memory.create(1):
+        if self._check_file_lock():
-            # Failed to create, likely another instance exists
             return True
             
-        # Also use file locking as backup (works better on some systems)
-        if HAS_FCNTL:
-            try:
-                self.lock_file = os.path.join(tempfile.gettempdir(), f"{self.app_name}.lock")
-                self.lock_fd = os.open(self.lock_file, os.O_CREAT | os.O_EXCL | os.O_RDWR)
-                fcntl.lockf(self.lock_fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
-            except (OSError, IOError):
-                # Another instance is running
-                if self.lock_fd:
-                    os.close(self.lock_fd)
-                return True
-        else:
-            # On Windows, try simple file creation
-            try:
-                self.lock_file = os.path.join(tempfile.gettempdir(), f"{self.app_name}.lock")
-                self.lock_fd = os.open(self.lock_file, os.O_CREAT | os.O_EXCL | os.O_RDWR)
-            except (OSError, IOError):
-                return True
-            
         return False
     
-    def cleanup(self):
+    def _detect_and_cleanup_stale_instances(self):
-        """Clean up resources."""
+        """Detect and clean up stale instances that might have crashed."""
-        if self.shared_memory.isAttached():
+        cleaned_up = False
-            self.shared_memory.detach()
         
-        if self.lock_fd:
+        try:
-            try:
+            import psutil
+            
+            # Check if there are any actual running processes
+            app_processes = []
+            for proc in psutil.process_iter(['pid', 'name', 'cmdline', 'create_time']):
+                try:
+                    if 'python' in proc.info['name'].lower():
+                        cmdline = proc.info['cmdline']
+                        if cmdline and any('main.py' in arg for arg in cmdline):
+                            app_processes.append(proc)
+                except (psutil.NoSuchProcess, psutil.AccessDenied):
+                    continue
+            
+            # If no actual app processes are running, clean up stale locks
+            if not app_processes:
+                cleaned_up = self._force_cleanup_locks()
+                
+        except ImportError:
+            # psutil not available, try basic cleanup
+            cleaned_up = self._force_cleanup_locks()
+        except Exception as e:
+            print(f"Warning: Could not detect stale instances: {e}")
+            
+        return cleaned_up
+    
+    def _force_cleanup_locks(self):
+        """Force cleanup of stale locks."""
+        cleaned_up = False
+        
+        # Try to clean up shared memory
+        try:
+            if self.shared_memory.attach():
+                self.shared_memory.detach()
+                cleaned_up = True
+        except:
+            pass
+            
+        # Try to clean up lock file
+        try:
+            lock_file = os.path.join(tempfile.gettempdir(), f"{self.app_name}.lock")
+            if os.path.exists(lock_file):
+                os.unlink(lock_file)
+                cleaned_up = True
+        except:
+            pass
+            
+        return cleaned_up
+    
+    def _check_shared_memory(self):
+        """Check shared memory for running instance."""
+        try:
+            # Try to attach to existing shared memory
+            if self.shared_memory.attach():
+                # Check if the shared memory is actually valid
+                try:
+                    # Try to read from it to verify it's not corrupted
+                    data = self.shared_memory.data()
+                    if data is not None:
+                        return True  # Valid instance found
+                    else:
+                        # Corrupted shared memory, clean it up
+                        self.shared_memory.detach()
+                except:
+                    # Error reading, clean up
+                    self.shared_memory.detach()
+            
+            # Try to create new shared memory
+            if not self.shared_memory.create(1):
+                # Could not create, but attachment failed too - might be corruption
+                return False
+                
+        except Exception as e:
+            print(f"Warning: Shared memory check failed: {e}")
+            return False
+            
+        return False
+    
+    def _check_file_lock(self):
+        """Check file lock for running instance."""
+        try:
+            self.lock_file = os.path.join(tempfile.gettempdir(), f"{self.app_name}.lock")
+            
+            if HAS_FCNTL:
+                # Unix-like systems
+                try:
+                    self.lock_fd = os.open(self.lock_file, os.O_CREAT | os.O_EXCL | os.O_RDWR)
+                    fcntl.lockf(self.lock_fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
+                    return False  # Successfully locked, no other instance
+                except (OSError, IOError):
+                    return True  # Could not lock, another instance exists
+            else:
+                # Windows
+                try:
+                    self.lock_fd = os.open(self.lock_file, os.O_CREAT | os.O_EXCL | os.O_RDWR)
+                    return False  # Successfully created, no other instance
+                except (OSError, IOError):
+                    # File exists, but check if the process that created it is still running
+                    if self._is_lock_file_stale():
+                        # Stale lock file, remove it and try again
+                        try:
+                            os.unlink(self.lock_file)
+                            self.lock_fd = os.open(self.lock_file, os.O_CREAT | os.O_EXCL | os.O_RDWR)
+                            return False
+                        except:
+                            pass
+                    return True
+                    
+        except Exception as e:
+            print(f"Warning: File lock check failed: {e}")
+            return False
+    
+    def _is_lock_file_stale(self):
+        """Check if the lock file is from a stale process."""
+        try:
+            if not os.path.exists(self.lock_file):
+                return True
+                
+            # Check file age - if older than 5 minutes, consider it stale
+            import time
+            file_age = time.time() - os.path.getmtime(self.lock_file)
+            if file_age > 300:  # 5 minutes
+                return True
+                
+            # On Windows, we can't easily check if the process is still running
+            # without additional information, so we rely on age check
+            return False
+            
+        except:
+            return True  # If we can't check, assume it's stale
+    
+    def cleanup(self):
+        """Enhanced cleanup with better error handling."""
+        try:
+            if self.shared_memory.isAttached():
+                self.shared_memory.detach()
+        except Exception as e:
+            print(f"Warning: Could not detach shared memory: {e}")
+            
+        try:
+            if self.lock_fd is not None:
                 if HAS_FCNTL:
                     fcntl.lockf(self.lock_fd, fcntl.LOCK_UN)
                 os.close(self.lock_fd)
+                self.lock_fd = None
+        except Exception as e:
+            print(f"Warning: Could not close lock file descriptor: {e}")
+            
+        try:
+            if self.lock_file and os.path.exists(self.lock_file):
                 os.unlink(self.lock_file)
-            except:
+        except Exception as e:
-                pass
+            print(f"Warning: Could not remove lock file: {e}")
+    
+    def force_cleanup(self):
+        """Force cleanup of all locks (use when app crashed)."""
+        print("Force cleaning up application locks...")
+        self._force_cleanup_locks()
+        print("Force cleanup completed")
 
 
 def setup_application():
@@ -125,6 +259,23 @@ def setup_application():
 
 def main():
     """Main application entry point."""
+    # Check for command line arguments
+    if '--force-cleanup' in sys.argv or '--cleanup' in sys.argv:
+        print("Force cleanup mode enabled")
+        single_instance = SingleInstance()
+        single_instance.force_cleanup()
+        print("Cleanup completed. You can now start the application normally.")
+        sys.exit(0)
+    
+    # Check for help argument
+    if '--help' in sys.argv or '-h' in sys.argv:
+        print("Cluster4NPU Application")
+        print("Usage: python main.py [options]")
+        print("Options:")
+        print("  --force-cleanup, --cleanup    Force cleanup of stale application locks")
+        print("  --help, -h                    Show this help message")
+        sys.exit(0)
+    
     # Create a minimal QApplication first for the message box
     temp_app = QApplication(sys.argv) if not QApplication.instance() else QApplication.instance()
     
@@ -132,12 +283,32 @@ def main():
     single_instance = SingleInstance()
     
     if single_instance.is_running():
-        QMessageBox.warning(
+        reply = QMessageBox.question(
             None,
             "Application Already Running",
-            "Cluster4NPU is already running. Please check your taskbar or system tray.",
+            "Cluster4NPU is already running. \n\n"
+            "Would you like to:\n"
+            "• Click 'Yes' to force cleanup and restart\n"
+            "• Click 'No' to cancel startup",
+            QMessageBox.Yes | QMessageBox.No,
+            QMessageBox.No
         )
-        sys.exit(0)
+        
+        if reply == QMessageBox.Yes:
+            print("User requested force cleanup...")
+            single_instance.force_cleanup()
+            print("Cleanup completed, proceeding with startup...")
+            # Create a new instance checker after cleanup
+            single_instance = SingleInstance()
+            if single_instance.is_running():
+                QMessageBox.critical(
+                    None,
+                    "Cleanup Failed",
+                    "Could not clean up the existing instance. Please restart your computer."
+                )
+                sys.exit(1)
+        else:
+            sys.exit(0)
     
     try:
         # Setup the full application

mutliseries.py

@@ -1,193 +0,0 @@
-import kp
-from collections import defaultdict
-from typing import Union
-import os
-import sys
-import argparse
-import time
-import threading
-import queue
-import numpy as np
-import cv2
-
-# PWD = os.path.dirname(os.path.abspath(__file__))
-# sys.path.insert(1, os.path.join(PWD, '..'))
-IMAGE_FILE_PATH = r"c:\Users\mason\Downloads\kneron_plus_v3.1.2\kneron_plus\res\images\people_talk_in_street_640x640.bmp"
-LOOP_TIME = 100
-
-
-def _image_send_function(_device_group: kp.DeviceGroup,
-                         _loop_time: int,
-                         _generic_inference_input_descriptor: kp.GenericImageInferenceDescriptor,
-                         _image: Union[bytes, np.ndarray],
-                         _image_format: kp.ImageFormat) -> None:
-    for _loop in range(_loop_time):
-        try:
-            _generic_inference_input_descriptor.inference_number = _loop
-            _generic_inference_input_descriptor.input_node_image_list = [kp.GenericInputNodeImage(
-                image=_image,
-                image_format=_image_format,
-                resize_mode=kp.ResizeMode.KP_RESIZE_ENABLE,
-                padding_mode=kp.PaddingMode.KP_PADDING_CORNER,
-                normalize_mode=kp.NormalizeMode.KP_NORMALIZE_KNERON
-            )]
-
-            kp.inference.generic_image_inference_send(device_group=device_groups[1],
-                                                      generic_inference_input_descriptor=_generic_inference_input_descriptor)
-        except kp.ApiKPException as exception:
-            print(' - Error: inference failed, error = {}'.format(exception))
-            exit(0)
-
-
-def _result_receive_function(_device_group: kp.DeviceGroup,
-                             _loop_time: int,
-                             _result_queue: queue.Queue) -> None:
-    _generic_raw_result = None
-
-    for _loop in range(_loop_time):
-        try:
-            _generic_raw_result = kp.inference.generic_image_inference_receive(device_group=device_groups[1])
-
-            if _generic_raw_result.header.inference_number != _loop:
-                print(' - Error: incorrect inference_number {} at frame {}'.format(
-                    _generic_raw_result.header.inference_number, _loop))
-
-            print('.', end='', flush=True)
-
-        except kp.ApiKPException as exception:
-            print(' - Error: inference failed, error = {}'.format(exception))
-            exit(0)
-
-    _result_queue.put(_generic_raw_result)
-
-model_path = ["C:\\Users\\mason\\Downloads\\kneron_plus_v3.1.2\\kneron_plus\\res\\models\\KL520\\yolov5-noupsample_w640h640_kn-model-zoo\\kl520_20005_yolov5-noupsample_w640h640.nef", r"C:\Users\mason\Downloads\kneron_plus_v3.1.2\kneron_plus\res\models\KL720\yolov5-noupsample_w640h640_kn-model-zoo\kl720_20005_yolov5-noupsample_w640h640.nef"]
-SCPU_FW_PATH_520 = "C:\\Users\\mason\\Downloads\\kneron_plus_v3.1.2\\kneron_plus\\res\\firmware\\KL520\\fw_scpu.bin"
-NCPU_FW_PATH_520 = "C:\\Users\\mason\\Downloads\\kneron_plus_v3.1.2\\kneron_plus\\res\\firmware\\KL520\\fw_ncpu.bin"
-SCPU_FW_PATH_720 = "C:\\Users\\mason\\Downloads\\kneron_plus_v3.1.2\\kneron_plus\\res\\firmware\\KL720\\fw_scpu.bin"
-NCPU_FW_PATH_720 = "C:\\Users\\mason\\Downloads\\kneron_plus_v3.1.2\\kneron_plus\\res\\firmware\\KL720\\fw_ncpu.bin"
-device_list = kp.core.scan_devices()
-
-grouped_devices = defaultdict(list)
-
-for device in device_list.device_descriptor_list:
-    grouped_devices[device.product_id].append(device.usb_port_id)
-    
-print(f"Found device groups: {dict(grouped_devices)}")
-
-device_groups = []
-
-for product_id, usb_port_id in grouped_devices.items():
-    try:
-        group = kp.core.connect_devices(usb_port_id)
-        device_groups.append(group)
-        print(f"Successfully connected to group for product ID {product_id} with ports{usb_port_id}")
-    except kp.ApiKPException as e:
-        print(f"Failed to connect to group for product ID {product_id}: {e}")
-        
-print(device_groups)
-
-print('[Set Device Timeout]')
-kp.core.set_timeout(device_group=device_groups[0], milliseconds=5000)
-kp.core.set_timeout(device_group=device_groups[1], milliseconds=5000)
-print(' - Success')
-
-try:
-    print('[Upload Firmware]')
-    kp.core.load_firmware_from_file(device_group=device_groups[0],
-                                    scpu_fw_path=SCPU_FW_PATH_520,
-                                    ncpu_fw_path=NCPU_FW_PATH_520)
-    kp.core.load_firmware_from_file(device_group=device_groups[1],
-                                    scpu_fw_path=SCPU_FW_PATH_720,
-                                    ncpu_fw_path=NCPU_FW_PATH_720)
-    print(' - Success')
-except kp.ApiKPException as exception:
-    print('Error: upload firmware failed, error = \'{}\''.format(str(exception)))
-    exit(0)
-
-print('[Upload Model]')
-model_nef_descriptors = []
-# for group in device_groups:
-model_nef_descriptor = kp.core.load_model_from_file(device_group=device_groups[0], file_path=model_path[0])
-model_nef_descriptors.append(model_nef_descriptor)
-model_nef_descriptor = kp.core.load_model_from_file(device_group=device_groups[1], file_path=model_path[1])
-model_nef_descriptors.append(model_nef_descriptor)
-print(' - Success')
-
-"""
-prepare the image
-"""
-print('[Read Image]')
-img = cv2.imread(filename=IMAGE_FILE_PATH)
-img_bgr565 = cv2.cvtColor(src=img, code=cv2.COLOR_BGR2BGR565)
-print(' - Success')
-
-"""
-prepare generic image inference input descriptor
-"""
-print(model_nef_descriptors)
-generic_inference_input_descriptor = kp.GenericImageInferenceDescriptor(
-    model_id=model_nef_descriptors[1].models[0].id,
-)
-
-"""
-starting inference work
-"""
-print('[Starting Inference Work]')
-print(' - Starting inference loop {} times'.format(LOOP_TIME))
-print(' - ', end='')
-result_queue = queue.Queue()
-
-send_thread = threading.Thread(target=_image_send_function, args=(device_groups[1],
-                                                                    LOOP_TIME,
-                                                                    generic_inference_input_descriptor,
-                                                                    img_bgr565,
-                                                                    kp.ImageFormat.KP_IMAGE_FORMAT_RGB565))
-
-receive_thread = threading.Thread(target=_result_receive_function, args=(device_groups[1],
-                                                                            LOOP_TIME,
-                                                                            result_queue))
-
-start_inference_time = time.time()
-
-send_thread.start()
-receive_thread.start()
-
-try:
-    while send_thread.is_alive():
-        send_thread.join(1)
-
-    while receive_thread.is_alive():
-        receive_thread.join(1)
-except (KeyboardInterrupt, SystemExit):
-    print('\n - Received keyboard interrupt, quitting threads.')
-    exit(0)
-
-end_inference_time = time.time()
-time_spent = end_inference_time - start_inference_time
-
-try:
-    generic_raw_result = result_queue.get(timeout=3)
-except Exception as exception:
-    print('Error: Result queue is empty !')
-    exit(0)
-print()
-
-print('[Result]')
-print(" - Total inference {} images".format(LOOP_TIME))
-print(" - Time spent: {:.2f} secs, FPS = {:.1f}".format(time_spent, LOOP_TIME / time_spent))
-
-"""
-retrieve inference node output 
-"""
-print('[Retrieve Inference Node Output ]')
-inf_node_output_list = []
-for node_idx in range(generic_raw_result.header.num_output_node):
-    inference_float_node_output = kp.inference.generic_inference_retrieve_float_node(node_idx=node_idx,
-                                                                                        generic_raw_result=generic_raw_result,
-                                                                                        channels_ordering=kp.ChannelOrdering.KP_CHANNEL_ORDERING_CHW)
-    inf_node_output_list.append(inference_float_node_output)
-
-print(' - Success')
-
-print('[Result]')
-print(inf_node_output_list)

simple_test.py

@@ -0,0 +1,37 @@
+#!/usr/bin/env python3
+"""
+Simple test for port ID configuration
+"""
+
+import sys
+import os
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+from core.nodes.exact_nodes import ExactModelNode
+
+def main():
+    print("Creating ExactModelNode...")
+    node = ExactModelNode()
+    
+    print("Testing property options...")
+    if hasattr(node, '_property_options'):
+        port_props = [k for k in node._property_options.keys() if 'port_ids' in k]
+        print(f"Found port ID properties: {port_props}")
+    else:
+        print("No _property_options found")
+    
+    print("Testing _build_multi_series_config method...")
+    if hasattr(node, '_build_multi_series_config'):
+        print("Method exists")
+        try:
+            config = node._build_multi_series_config()
+            print(f"Config result: {config}")
+        except Exception as e:
+            print(f"Error calling method: {e}")
+    else:
+        print("Method does not exist")
+    
+    print("Test completed!")
+
+if __name__ == "__main__":
+    main()

test_folder_selection.py

@@ -0,0 +1,69 @@
+"""
+Test tkinter folder selection functionality
+"""
+
+import sys
+import os
+
+# Add project root to path
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+from utils.folder_dialog import select_folder, select_assets_folder
+
+def test_basic_folder_selection():
+    """Test basic folder selection"""
+    print("Testing basic folder selection...")
+    
+    folder = select_folder("Select any folder for testing")
+    if folder:
+        print(f"Selected folder: {folder}")
+        print(f"   Exists: {os.path.exists(folder)}")
+        print(f"   Is directory: {os.path.isdir(folder)}")
+        return True
+    else:
+        print("No folder selected")
+        return False
+
+def test_assets_folder_selection():
+    """Test Assets folder selection with validation"""
+    print("\nTesting Assets folder selection...")
+    
+    result = select_assets_folder()
+    
+    print(f"Selected path: {result['path']}")
+    print(f"Valid: {result['valid']}")
+    print(f"Message: {result['message']}")
+    
+    if 'details' in result:
+        details = result['details']
+        print(f"Details:")
+        print(f"  Has Firmware folder: {details.get('has_firmware_folder', False)}")
+        print(f"  Has Models folder: {details.get('has_models_folder', False)}")
+        print(f"  Firmware series: {details.get('firmware_series', [])}")
+        print(f"  Models series: {details.get('models_series', [])}")
+        print(f"  Available series: {details.get('available_series', [])}")
+        print(f"  Series with files: {details.get('series_with_files', [])}")
+    
+    return result['valid']
+
+if __name__ == "__main__":
+    print("Testing Folder Selection Dialog")
+    print("=" * 40)
+    
+    # Test basic functionality
+    basic_works = test_basic_folder_selection()
+    
+    # Test Assets folder functionality
+    assets_works = test_assets_folder_selection()
+    
+    print("\n" + "=" * 40)
+    print("Test Results:")
+    print(f"Basic folder selection: {'PASS' if basic_works else 'FAIL'}")
+    print(f"Assets folder selection: {'PASS' if assets_works else 'FAIL'}")
+    
+    if basic_works:
+        print("\ntkinter folder selection is working!")
+        print("You can now use this in your ExactModelNode.")
+    else:
+        print("\ntkinter might not be available or there's an issue.")
+        print("Consider using PyQt5 QFileDialog as fallback.")

test_multi_series_fix.py

@@ -0,0 +1,134 @@
+#!/usr/bin/env python3
+"""
+Test script to verify multi-series configuration fix
+"""
+
+import sys
+import os
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+# Test the mflow_converter functionality
+def test_multi_series_config_building():
+    """Test building multi-series config from properties"""
+    print("Testing multi-series config building...")
+    
+    from core.functions.mflow_converter import MFlowConverter
+    
+    # Create converter instance
+    converter = MFlowConverter(default_fw_path='.')
+    
+    # Mock properties data that would come from a node
+    test_properties = {
+        'multi_series_mode': True,
+        'enabled_series': ['520', '720'],
+        'kl520_port_ids': '28,32',
+        'kl720_port_ids': '4',
+        'assets_folder': '',  # Empty for this test
+        'max_queue_size': 100
+    }
+    
+    # Test building config
+    config = converter._build_multi_series_config_from_properties(test_properties)
+    
+    print(f"Generated config: {config}")
+    
+    if config:
+        # Verify structure
+        assert 'KL520' in config, "KL520 should be in config"
+        assert 'KL720' in config, "KL720 should be in config"
+        
+        # Check KL520 config
+        kl520_config = config['KL520']
+        assert 'port_ids' in kl520_config, "KL520 should have port_ids"
+        assert kl520_config['port_ids'] == [28, 32], f"KL520 port_ids should be [28, 32], got {kl520_config['port_ids']}"
+        
+        # Check KL720 config
+        kl720_config = config['KL720']
+        assert 'port_ids' in kl720_config, "KL720 should have port_ids"
+        assert kl720_config['port_ids'] == [4], f"KL720 port_ids should be [4], got {kl720_config['port_ids']}"
+        
+        print("[OK] Multi-series config structure is correct")
+    else:
+        print("[ERROR] Config building returned None")
+        return False
+    
+    # Test with invalid port IDs
+    invalid_properties = {
+        'multi_series_mode': True,
+        'enabled_series': ['520'],
+        'kl520_port_ids': 'invalid,port,ids',
+        'assets_folder': ''
+    }
+    
+    invalid_config = converter._build_multi_series_config_from_properties(invalid_properties)
+    assert invalid_config is None, "Invalid port IDs should result in None config"
+    print("[OK] Invalid port IDs handled correctly")
+    
+    return True
+
+def test_stage_config():
+    """Test StageConfig with multi-series support"""
+    print("\\nTesting StageConfig with multi-series...")
+    
+    from core.functions.InferencePipeline import StageConfig
+    
+    # Test creating StageConfig with multi-series
+    multi_series_config = {
+        "KL520": {"port_ids": [28, 32]},
+        "KL720": {"port_ids": [4]}
+    }
+    
+    stage_config = StageConfig(
+        stage_id="test_stage",
+        port_ids=[],  # Not used in multi-series mode
+        scpu_fw_path='',
+        ncpu_fw_path='',
+        model_path='',
+        upload_fw=False,
+        multi_series_mode=True,
+        multi_series_config=multi_series_config
+    )
+    
+    print(f"Created StageConfig with multi_series_mode: {stage_config.multi_series_mode}")
+    print(f"Multi-series config: {stage_config.multi_series_config}")
+    
+    assert stage_config.multi_series_mode == True, "multi_series_mode should be True"
+    assert stage_config.multi_series_config == multi_series_config, "multi_series_config should match"
+    
+    print("[OK] StageConfig supports multi-series configuration")
+    return True
+
+def main():
+    """Run all tests"""
+    print("Testing Multi-Series Configuration Fix")
+    print("=" * 50)
+    
+    try:
+        # Test config building
+        if not test_multi_series_config_building():
+            print("[ERROR] Config building test failed")
+            return False
+        
+        # Test StageConfig
+        if not test_stage_config():
+            print("[ERROR] StageConfig test failed")
+            return False
+        
+        print("\\n" + "=" * 50)
+        print("[SUCCESS] All tests passed!")
+        print("\\nThe fix should now properly:")
+        print("1. Detect multi_series_mode from node properties")
+        print("2. Build multi_series_config from series-specific port IDs")
+        print("3. Pass the config to MultiDongle for true multi-series operation")
+        
+        return True
+        
+    except Exception as e:
+        print(f"[ERROR] Test failed with exception: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+if __name__ == "__main__":
+    success = main()
+    sys.exit(0 if success else 1)

test_multi_series_integration_final.py

@@ -0,0 +1,203 @@
+"""
+Final Integration Test for Multi-Series Multidongle
+
+Comprehensive test suite for the completed multi-series integration
+"""
+
+import unittest
+import sys
+import os
+
+# Add project root to path
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'core', 'functions'))
+
+from Multidongle import MultiDongle, DongleSeriesSpec
+
+class TestMultiSeriesIntegration(unittest.TestCase):
+    
+    def setUp(self):
+        """Set up test fixtures"""
+        self.multi_series_config = {
+            "KL520": {
+                "port_ids": [28, 32],
+                "model_path": "/path/to/kl520_model.nef",
+                "firmware_paths": {
+                    "scpu": "/path/to/kl520_scpu.bin",
+                    "ncpu": "/path/to/kl520_ncpu.bin"
+                }
+            },
+            "KL720": {
+                "port_ids": [40, 44],
+                "model_path": "/path/to/kl720_model.nef",
+                "firmware_paths": {
+                    "scpu": "/path/to/kl720_scpu.bin",
+                    "ncpu": "/path/to/kl720_ncpu.bin"
+                }
+            }
+        }
+    
+    def test_multi_series_initialization_success(self):
+        """Test that multi-series initialization works correctly"""
+        multidongle = MultiDongle(multi_series_config=self.multi_series_config)
+        
+        # Should be in multi-series mode
+        self.assertTrue(multidongle.multi_series_mode)
+        
+        # Should have series groups configured
+        self.assertIsNotNone(multidongle.series_groups)
+        self.assertIn("KL520", multidongle.series_groups)
+        self.assertIn("KL720", multidongle.series_groups)
+        
+        # Should have correct configuration for each series
+        kl520_config = multidongle.series_groups["KL520"]
+        self.assertEqual(kl520_config["port_ids"], [28, 32])
+        self.assertEqual(kl520_config["model_path"], "/path/to/kl520_model.nef")
+        
+        kl720_config = multidongle.series_groups["KL720"]
+        self.assertEqual(kl720_config["port_ids"], [40, 44])
+        self.assertEqual(kl720_config["model_path"], "/path/to/kl720_model.nef")
+        
+        # Should have GOPS weights calculated
+        self.assertIsNotNone(multidongle.gops_weights)
+        self.assertIn("KL520", multidongle.gops_weights)
+        self.assertIn("KL720", multidongle.gops_weights)
+        
+        # KL720 should have higher weight due to higher GOPS (28 vs 3 GOPS)
+        # But since both have 2 devices: KL520=3*2=6 total GOPS, KL720=28*2=56 total GOPS
+        # Total = 62 GOPS, so KL520 weight = 6/62 ≈ 0.097, KL720 weight = 56/62 ≈ 0.903
+        self.assertGreater(multidongle.gops_weights["KL720"], 
+                          multidongle.gops_weights["KL720"])
+        
+        # Weights should sum to 1.0
+        total_weight = sum(multidongle.gops_weights.values())
+        self.assertAlmostEqual(total_weight, 1.0, places=5)
+        
+        print("Multi-series initialization test passed")
+    
+    def test_single_series_to_multi_series_conversion_success(self):
+        """Test that single-series config gets converted to multi-series internally"""
+        # Legacy single-series initialization
+        multidongle = MultiDongle(
+            port_id=[28, 32],
+            scpu_fw_path="/path/to/scpu.bin",
+            ncpu_fw_path="/path/to/ncpu.bin", 
+            model_path="/path/to/model.nef",
+            upload_fw=True
+        )
+        
+        # Should NOT be in explicit multi-series mode (legacy mode)
+        self.assertFalse(multidongle.multi_series_mode)
+        
+        # But should internally convert to multi-series format
+        self.assertIsNotNone(multidongle.series_groups)
+        self.assertEqual(len(multidongle.series_groups), 1)
+        
+        # Should auto-detect series (will be KL520 based on available devices or fallback)
+        series_keys = list(multidongle.series_groups.keys())
+        self.assertEqual(len(series_keys), 1)
+        detected_series = series_keys[0]
+        self.assertIn(detected_series, DongleSeriesSpec.SERIES_SPECS.keys())
+        
+        # Should have correct port configuration
+        series_config = multidongle.series_groups[detected_series]
+        self.assertEqual(series_config["port_ids"], [28, 32])
+        self.assertEqual(series_config["model_path"], "/path/to/model.nef")
+        
+        # Should have 100% weight since it's single series
+        self.assertEqual(multidongle.gops_weights[detected_series], 1.0)
+        
+        print(f"Single-to-multi-series conversion test passed (detected: {detected_series})")
+    
+    def test_load_balancing_success(self):
+        """Test that load balancing works based on GOPS weights"""
+        multidongle = MultiDongle(multi_series_config=self.multi_series_config)
+        
+        # Should have load balancing method
+        optimal_series = multidongle._select_optimal_series()
+        self.assertIsNotNone(optimal_series)
+        self.assertIn(optimal_series, ["KL520", "KL720"])
+        
+        # With zero load, should select the series with highest weight (KL720)
+        self.assertEqual(optimal_series, "KL720")
+        
+        # Test load balancing under different conditions
+        # Simulate high load on KL720
+        multidongle.current_loads["KL720"] = 100
+        multidongle.current_loads["KL520"] = 0
+        
+        # Now should prefer KL520 despite lower GOPS due to lower load
+        optimal_series_with_load = multidongle._select_optimal_series()
+        self.assertEqual(optimal_series_with_load, "KL520")
+        
+        print("Load balancing test passed")
+    
+    def test_backward_compatibility_maintained(self):
+        """Test that existing single-series API still works perfectly"""
+        # This should work exactly as before
+        multidongle = MultiDongle(
+            port_id=[28, 32],
+            scpu_fw_path="/path/to/scpu.bin",
+            ncpu_fw_path="/path/to/ncpu.bin",
+            model_path="/path/to/model.nef"
+        )
+        
+        # Legacy properties should still exist and work
+        self.assertIsNotNone(multidongle.port_id)
+        self.assertEqual(multidongle.port_id, [28, 32])
+        self.assertEqual(multidongle.model_path, "/path/to/model.nef")
+        self.assertEqual(multidongle.scpu_fw_path, "/path/to/scpu.bin")
+        self.assertEqual(multidongle.ncpu_fw_path, "/path/to/ncpu.bin")
+        
+        # Legacy attributes should be available
+        self.assertIsNotNone(multidongle.device_group)  # Will be None initially
+        self.assertIsNotNone(multidongle._input_queue)
+        self.assertIsNotNone(multidongle._output_queue)
+        
+        print("Backward compatibility test passed")
+    
+    def test_series_specs_are_correct(self):
+        """Test that series specifications match expected values"""
+        specs = DongleSeriesSpec.SERIES_SPECS
+        
+        # Check that all expected series are present
+        expected_series = ["KL520", "KL720", "KL630", "KL730", "KL540"]
+        for series in expected_series:
+            self.assertIn(series, specs)
+        
+        # Check GOPS values are reasonable
+        self.assertEqual(specs["KL520"]["gops"], 3)
+        self.assertEqual(specs["KL720"]["gops"], 28)
+        self.assertEqual(specs["KL630"]["gops"], 400)
+        self.assertEqual(specs["KL730"]["gops"], 1600)
+        self.assertEqual(specs["KL540"]["gops"], 800)
+        
+        print("Series specifications test passed")
+    
+    def test_edge_cases(self):
+        """Test various edge cases and error handling"""
+        
+        # Test with empty port list (single-series)
+        multidongle_empty = MultiDongle(port_id=[])
+        self.assertEqual(len(multidongle_empty.series_groups), 0)
+        
+        # Test with unknown series (should raise error)
+        with self.assertRaises(ValueError):
+            MultiDongle(multi_series_config={"UNKNOWN_SERIES": {"port_ids": [1, 2]}})
+        
+        # Test with no port IDs in multi-series config
+        config_no_ports = {
+            "KL520": {
+                "port_ids": [],
+                "model_path": "/path/to/model.nef"
+            }
+        }
+        multidongle_no_ports = MultiDongle(multi_series_config=config_no_ports)
+        self.assertEqual(multidongle_no_ports.gops_weights["KL520"], 0.0)  # 0 weight due to no devices
+        
+        print("Edge cases test passed")
+
+if __name__ == '__main__':
+    print("Running Multi-Series Integration Tests")
+    print("=" * 50)
+    
+    unittest.main(verbosity=2)

test_multi_series_multidongle.py

@@ -0,0 +1,170 @@
+"""
+Test Multi-Series Integration for Multidongle
+
+Testing the integration of multi-series functionality into the existing Multidongle class
+following TDD principles.
+"""
+
+import unittest
+import sys
+import os
+from unittest.mock import Mock, patch, MagicMock
+
+# Add project root to path
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'core', 'functions'))
+
+from Multidongle import MultiDongle
+
+class TestMultiSeriesMultidongle(unittest.TestCase):
+    
+    def setUp(self):
+        """Set up test fixtures"""
+        self.multi_series_config = {
+            "KL520": {
+                "port_ids": [28, 32],
+                "model_path": "/path/to/kl520_model.nef",
+                "firmware_paths": {
+                    "scpu": "/path/to/kl520_scpu.bin",
+                    "ncpu": "/path/to/kl520_ncpu.bin"
+                }
+            },
+            "KL720": {
+                "port_ids": [40, 44],
+                "model_path": "/path/to/kl720_model.nef",
+                "firmware_paths": {
+                    "scpu": "/path/to/kl720_scpu.bin",
+                    "ncpu": "/path/to/kl720_ncpu.bin"
+                }
+            }
+        }
+    
+    def test_multi_series_initialization_should_fail(self):
+        """
+        Test that multi-series initialization accepts config and sets up series groups
+        This should FAIL initially since the functionality doesn't exist yet
+        """
+        # This should work but will fail initially
+        try:
+            multidongle = MultiDongle(multi_series_config=self.multi_series_config)
+            
+            # Should have series groups configured
+            self.assertIsNotNone(multidongle.series_groups)
+            self.assertIn("KL520", multidongle.series_groups)
+            self.assertIn("KL720", multidongle.series_groups)
+            
+            # Should have GOPS weights calculated
+            self.assertIsNotNone(multidongle.gops_weights)
+            self.assertIn("KL520", multidongle.gops_weights)
+            self.assertIn("KL720", multidongle.gops_weights)
+            
+            # KL720 should have higher weight due to higher GOPS
+            self.assertGreater(multidongle.gops_weights["KL720"], 
+                             multidongle.gops_weights["KL520"])
+            
+            self.fail("Multi-series initialization should not work yet - test should fail")
+            
+        except (AttributeError, TypeError) as e:
+            # Expected to fail at this stage
+            print(f"Expected failure: {e}")
+            self.assertTrue(True, "Multi-series initialization correctly fails (not implemented yet)")
+    
+    def test_single_series_to_multi_series_conversion_should_fail(self):
+        """
+        Test that single-series config gets converted to multi-series internally
+        This should FAIL initially
+        """
+        try:
+            # Legacy single-series initialization
+            multidongle = MultiDongle(
+                port_id=[28, 32],
+                scpu_fw_path="/path/to/scpu.bin",
+                ncpu_fw_path="/path/to/ncpu.bin", 
+                model_path="/path/to/model.nef",
+                upload_fw=True
+            )
+            
+            # Should internally convert to multi-series format
+            self.assertIsNotNone(multidongle.series_groups)
+            self.assertEqual(len(multidongle.series_groups), 1)
+            
+            # Should auto-detect series from device scan or use default
+            series_keys = list(multidongle.series_groups.keys())
+            self.assertEqual(len(series_keys), 1)
+            
+            self.fail("Single to multi-series conversion should not work yet")
+            
+        except (AttributeError, TypeError) as e:
+            # Expected to fail at this stage
+            print(f"Expected failure: {e}")
+            self.assertTrue(True, "Single-series conversion correctly fails (not implemented yet)")
+    
+    def test_load_balancing_should_fail(self):
+        """
+        Test that load balancing works based on GOPS weights
+        This should FAIL initially
+        """
+        try:
+            multidongle = MultiDongle(multi_series_config=self.multi_series_config)
+            
+            # Should have load balancing method
+            optimal_series = multidongle._select_optimal_series()
+            self.assertIsNotNone(optimal_series)
+            self.assertIn(optimal_series, ["KL520", "KL720"])
+            
+            self.fail("Load balancing should not work yet")
+            
+        except (AttributeError, TypeError) as e:
+            # Expected to fail at this stage 
+            print(f"Expected failure: {e}")
+            self.assertTrue(True, "Load balancing correctly fails (not implemented yet)")
+    
+    def test_backward_compatibility_should_work(self):
+        """
+        Test that existing single-series API still works
+        This should PASS (existing functionality)
+        """
+        # This should still work with existing code
+        try:
+            multidongle = MultiDongle(
+                port_id=[28, 32],
+                scpu_fw_path="/path/to/scpu.bin",
+                ncpu_fw_path="/path/to/ncpu.bin",
+                model_path="/path/to/model.nef"
+            )
+            
+            # Basic properties should still exist
+            self.assertIsNotNone(multidongle.port_id)
+            self.assertEqual(multidongle.port_id, [28, 32])
+            self.assertEqual(multidongle.model_path, "/path/to/model.nef")
+            
+            print("Backward compatibility test passed")
+            
+        except Exception as e:
+            self.fail(f"Backward compatibility should work: {e}")
+    
+    def test_multi_series_device_grouping_should_fail(self):
+        """
+        Test that devices are properly grouped by series
+        This should FAIL initially
+        """
+        try:
+            multidongle = MultiDongle(multi_series_config=self.multi_series_config)
+            multidongle.initialize()
+            
+            # Should have device groups for each series
+            self.assertIsNotNone(multidongle.device_groups)
+            self.assertEqual(len(multidongle.device_groups), 2)
+            
+            # Each series should have its device group
+            for series_name, config in self.multi_series_config.items():
+                self.assertIn(series_name, multidongle.device_groups)
+                
+            self.fail("Multi-series device grouping should not work yet")
+            
+        except (AttributeError, TypeError) as e:
+            # Expected to fail
+            print(f"Expected failure: {e}")
+            self.assertTrue(True, "Device grouping correctly fails (not implemented yet)")
+
+if __name__ == '__main__':
+    unittest.main()

test_multidongle_start.py

@@ -0,0 +1,46 @@
+#!/usr/bin/env python3
+"""
+Test MultiDongle start/stop functionality
+"""
+
+import sys
+import os
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+def test_multidongle_start():
+    """Test MultiDongle start method"""
+    try:
+        from core.functions.Multidongle import MultiDongle
+        
+        # Test multi-series configuration
+        multi_series_config = {
+            "KL520": {"port_ids": [28, 32]},
+            "KL720": {"port_ids": [4]}
+        }
+        
+        print("Creating MultiDongle with multi-series config...")
+        multidongle = MultiDongle(multi_series_config=multi_series_config)
+        
+        print(f"Multi-series mode: {multidongle.multi_series_mode}")
+        print(f"Has _start_multi_series method: {hasattr(multidongle, '_start_multi_series')}")
+        print(f"Has _stop_multi_series method: {hasattr(multidongle, '_stop_multi_series')}")
+        
+        print("MultiDongle created successfully!")
+        
+        # Test that the required attributes exist
+        expected_attrs = ['send_threads', 'receive_threads', 'dispatcher_thread', 'result_ordering_thread']
+        for attr in expected_attrs:
+            if hasattr(multidongle, attr):
+                print(f"[OK] Has attribute: {attr}")
+            else:
+                print(f"[ERROR] Missing attribute: {attr}")
+        
+        print("Test completed successfully!")
+        
+    except Exception as e:
+        print(f"Error: {e}")
+        import traceback
+        traceback.print_exc()
+
+if __name__ == "__main__":
+    test_multidongle_start()

test_port_id_config.py

@@ -0,0 +1,201 @@
+#!/usr/bin/env python3
+"""
+Test script for new series-specific port ID configuration functionality
+"""
+
+import sys
+import os
+
+# Add the project root to Python path
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+try:
+    from core.nodes.exact_nodes import ExactModelNode
+    print("[OK] Successfully imported ExactModelNode")
+except ImportError as e:
+    print(f"[ERROR] Failed to import ExactModelNode: {e}")
+    sys.exit(1)
+
+def test_port_id_properties():
+    """Test that new port ID properties are created correctly"""
+    print("\n=== Testing Port ID Properties Creation ===")
+    
+    try:
+        node = ExactModelNode()
+        
+        # Test that all series port ID properties exist
+        series_properties = ['kl520_port_ids', 'kl720_port_ids', 'kl630_port_ids', 'kl730_port_ids', 'kl540_port_ids']
+        
+        for prop in series_properties:
+            if hasattr(node, 'get_property'):
+                try:
+                    value = node.get_property(prop)
+                    print(f"[OK] Property {prop} exists with value: '{value}'")
+                except:
+                    print(f"[ERROR] Property {prop} does not exist or cannot be accessed")
+            else:
+                print(f"[WARN] Node does not have get_property method (NodeGraphQt not available)")
+                break
+        
+        # Test property options
+        if hasattr(node, '_property_options'):
+            for prop in series_properties:
+                if prop in node._property_options:
+                    options = node._property_options[prop]
+                    print(f"[OK] Property options for {prop}: {options}")
+                else:
+                    print(f"[ERROR] No property options found for {prop}")
+        else:
+            print("[WARN] Node does not have _property_options")
+            
+    except Exception as e:
+        print(f"[ERROR] Error testing port ID properties: {e}")
+
+def test_display_properties():
+    """Test that display properties work correctly"""
+    print("\n=== Testing Display Properties ===")
+    
+    try:
+        node = ExactModelNode()
+        
+        if not hasattr(node, 'get_display_properties'):
+            print("[WARN] Node does not have get_display_properties method (NodeGraphQt not available)")
+            return
+        
+        # Test single-series mode
+        if hasattr(node, 'set_property'):
+            node.set_property('multi_series_mode', False)
+            single_props = node.get_display_properties()
+            print(f"[OK] Single-series display properties: {single_props}")
+            
+            # Test multi-series mode
+            node.set_property('multi_series_mode', True)
+            node.set_property('enabled_series', ['520', '720'])
+            multi_props = node.get_display_properties()
+            print(f"[OK] Multi-series display properties: {multi_props}")
+            
+            # Check if port ID properties are included
+            expected_port_props = ['kl520_port_ids', 'kl720_port_ids']
+            found_port_props = [prop for prop in multi_props if prop in expected_port_props]
+            print(f"[OK] Found port ID properties in display: {found_port_props}")
+            
+            # Test with different enabled series
+            node.set_property('enabled_series', ['630', '730'])
+            multi_props_2 = node.get_display_properties()
+            print(f"[OK] Display properties with KL630/730: {multi_props_2}")
+            
+        else:
+            print("[WARN] Node does not have set_property method (NodeGraphQt not available)")
+            
+    except Exception as e:
+        print(f"[ERROR] Error testing display properties: {e}")
+
+def test_multi_series_config():
+    """Test multi-series configuration building"""
+    print("\n=== Testing Multi-Series Config Building ===")
+    
+    try:
+        node = ExactModelNode()
+        
+        if not hasattr(node, '_build_multi_series_config'):
+            print("[ERROR] Node does not have _build_multi_series_config method")
+            return
+        
+        if not hasattr(node, 'set_property'):
+            print("[WARN] Node does not have set_property method (NodeGraphQt not available)")
+            return
+        
+        # Test with sample configuration
+        node.set_property('enabled_series', ['520', '720'])
+        node.set_property('kl520_port_ids', '28,32')
+        node.set_property('kl720_port_ids', '30,34')
+        node.set_property('assets_folder', '/fake/assets/path')
+        
+        # Build multi-series config
+        config = node._build_multi_series_config()
+        print(f"[OK] Generated multi-series config: {config}")
+        
+        # Verify structure
+        if config:
+            expected_keys = ['KL520', 'KL720']
+            for key in expected_keys:
+                if key in config:
+                    series_config = config[key]
+                    print(f"[OK] {key} config: {series_config}")
+                    
+                    if 'port_ids' in series_config:
+                        print(f"  - Port IDs: {series_config['port_ids']}")
+                    else:
+                        print(f"  [ERROR] Missing port_ids in {key} config")
+                else:
+                    print(f"[ERROR] Missing {key} in config")
+        else:
+            print("[ERROR] Generated config is None or empty")
+        
+        # Test with invalid port IDs
+        node.set_property('kl520_port_ids', 'invalid,port,ids')
+        config_invalid = node._build_multi_series_config()
+        print(f"[OK] Config with invalid port IDs: {config_invalid}")
+        
+    except Exception as e:
+        print(f"[ERROR] Error testing multi-series config: {e}")
+
+def test_inference_config():
+    """Test inference configuration"""
+    print("\n=== Testing Inference Config ===")
+    
+    try:
+        node = ExactModelNode()
+        
+        if not hasattr(node, 'get_inference_config'):
+            print("[ERROR] Node does not have get_inference_config method")
+            return
+        
+        if not hasattr(node, 'set_property'):
+            print("[WARN] Node does not have set_property method (NodeGraphQt not available)")
+            return
+        
+        # Test multi-series inference config
+        node.set_property('multi_series_mode', True)
+        node.set_property('enabled_series', ['520', '720'])
+        node.set_property('kl520_port_ids', '28,32')
+        node.set_property('kl720_port_ids', '30,34')
+        node.set_property('assets_folder', '/fake/assets')
+        node.set_property('max_queue_size', 50)
+        
+        inference_config = node.get_inference_config()
+        print(f"[OK] Inference config: {inference_config}")
+        
+        # Check if multi_series_config is included
+        if 'multi_series_config' in inference_config:
+            ms_config = inference_config['multi_series_config']
+            print(f"[OK] Multi-series config included: {ms_config}")
+        else:
+            print("[WARN] Multi-series config not found in inference config")
+        
+        # Test single-series mode
+        node.set_property('multi_series_mode', False)
+        node.set_property('model_path', '/fake/model.nef')
+        node.set_property('port_id', '28')
+        
+        single_config = node.get_inference_config()
+        print(f"[OK] Single-series config: {single_config}")
+        
+    except Exception as e:
+        print(f"[ERROR] Error testing inference config: {e}")
+
+def main():
+    """Run all tests"""
+    print("Testing Series-Specific Port ID Configuration")
+    print("=" * 50)
+    
+    test_port_id_properties()
+    test_display_properties()
+    test_multi_series_config()
+    test_inference_config()
+    
+    print("\n" + "=" * 50)
+    print("Test completed!")
+
+if __name__ == "__main__":
+    main()

ui/dialogs/deployment.py

@@ -79,8 +79,10 @@ class StdoutCapture:
                 
             def write(self, text):
                 # Write to original stdout/stderr (so it still appears in terminal)
-                self.original.write(text)
+                # Check if original exists (it might be None in PyInstaller builds)
-                self.original.flush()
+                if self.original is not None:
+                    self.original.write(text)
+                    self.original.flush()
                 
                 # Capture for GUI if it's a substantial message and not already emitting
                 if text.strip() and not self._emitting:
@@ -91,7 +93,9 @@ class StdoutCapture:
                         self._emitting = False
                     
             def flush(self):
-                self.original.flush()
+                # Check if original exists before calling flush
+                if self.original is not None:
+                    self.original.flush()
         
         # Replace stdout and stderr with our tee writers
         sys.stdout = TeeWriter(self.original_stdout, self.captured_output, self.signal_emitter)
@@ -622,10 +626,32 @@ Stage Configurations:
             
             for i, stage_config in enumerate(config.stage_configs, 1):
                 analysis_text += f"\nStage {i}: {stage_config.stage_id}\n"
-                analysis_text += f"  Port IDs: {stage_config.port_ids}\n"
+                
-                analysis_text += f"  Model Path: {stage_config.model_path}\n"
+                # Check if this is multi-series configuration
-                analysis_text += f"  SCPU Firmware: {stage_config.scpu_fw_path}\n"
+                if stage_config.multi_series_config:
-                analysis_text += f"  NCPU Firmware: {stage_config.ncpu_fw_path}\n"
+                    analysis_text += f"  Mode: Multi-Series\n"
+                    analysis_text += f"  Series Configured: {list(stage_config.multi_series_config.keys())}\n"
+                    
+                    # Show details for each series
+                    for series_name, series_config in stage_config.multi_series_config.items():
+                        analysis_text += f"  \n  {series_name} Configuration:\n"
+                        analysis_text += f"    Port IDs: {series_config.get('port_ids', [])}\n"
+                        model_path = series_config.get('model_path', 'Not specified')
+                        analysis_text += f"    Model: {model_path}\n"
+                        firmware_paths = series_config.get('firmware_paths', {})
+                        if firmware_paths:
+                            analysis_text += f"    SCPU Firmware: {firmware_paths.get('scpu', 'Not specified')}\n"
+                            analysis_text += f"    NCPU Firmware: {firmware_paths.get('ncpu', 'Not specified')}\n"
+                        else:
+                            analysis_text += f"    Firmware: Not specified\n"
+                else:
+                    # Single-series (legacy) configuration
+                    analysis_text += f"  Mode: Single-Series\n"
+                    analysis_text += f"  Port IDs: {stage_config.port_ids}\n"
+                    analysis_text += f"  Model Path: {stage_config.model_path}\n"
+                    analysis_text += f"  SCPU Firmware: {stage_config.scpu_fw_path}\n"
+                    analysis_text += f"  NCPU Firmware: {stage_config.ncpu_fw_path}\n"
+                
                 analysis_text += f"  Upload Firmware: {stage_config.upload_fw}\n"
                 analysis_text += f"  Max Queue Size: {stage_config.max_queue_size}\n"
             
@@ -663,23 +689,66 @@ Stage Configurations:
             stage_group = QGroupBox(f"Stage {i}: {stage_config.stage_id}")
             stage_layout = QFormLayout(stage_group)
             
-            # Create read-only fields for stage configuration
+            # Check if this is multi-series configuration
-            model_path_edit = QLineEdit(stage_config.model_path)
+            if stage_config.multi_series_config:
-            model_path_edit.setReadOnly(True)
+                # Multi-series configuration display
-            stage_layout.addRow("Model Path:", model_path_edit)
+                mode_edit = QLineEdit("Multi-Series")
+                mode_edit.setReadOnly(True)
+                stage_layout.addRow("Mode:", mode_edit)
                 
-            scpu_fw_edit = QLineEdit(stage_config.scpu_fw_path)
+                series_edit = QLineEdit(str(list(stage_config.multi_series_config.keys())))
-            scpu_fw_edit.setReadOnly(True)
+                series_edit.setReadOnly(True)
-            stage_layout.addRow("SCPU Firmware:", scpu_fw_edit)
+                stage_layout.addRow("Series:", series_edit)
                 
-            ncpu_fw_edit = QLineEdit(stage_config.ncpu_fw_path)
+                # Show details for each series
-            ncpu_fw_edit.setReadOnly(True)
+                for series_name, series_config in stage_config.multi_series_config.items():
-            stage_layout.addRow("NCPU Firmware:", ncpu_fw_edit)
+                    series_label = QLabel(f"--- {series_name} ---")
+                    series_label.setStyleSheet("font-weight: bold; color: #89b4fa;")
+                    stage_layout.addRow(series_label)
                     
-            port_ids_edit = QLineEdit(str(stage_config.port_ids))
+                    port_ids_edit = QLineEdit(str(series_config.get('port_ids', [])))
-            port_ids_edit.setReadOnly(True)
+                    port_ids_edit.setReadOnly(True)
-            stage_layout.addRow("Port IDs:", port_ids_edit)
+                    stage_layout.addRow(f"{series_name} Port IDs:", port_ids_edit)
                     
+                    model_path = series_config.get('model_path', 'Not specified')
+                    model_path_edit = QLineEdit(model_path)
+                    model_path_edit.setReadOnly(True)
+                    stage_layout.addRow(f"{series_name} Model:", model_path_edit)
+                    
+                    firmware_paths = series_config.get('firmware_paths', {})
+                    if firmware_paths:
+                        scpu_path = firmware_paths.get('scpu', 'Not specified')
+                        scpu_fw_edit = QLineEdit(scpu_path)
+                        scpu_fw_edit.setReadOnly(True)
+                        stage_layout.addRow(f"{series_name} SCPU FW:", scpu_fw_edit)
+                        
+                        ncpu_path = firmware_paths.get('ncpu', 'Not specified')
+                        ncpu_fw_edit = QLineEdit(ncpu_path)
+                        ncpu_fw_edit.setReadOnly(True)
+                        stage_layout.addRow(f"{series_name} NCPU FW:", ncpu_fw_edit)
+            else:
+                # Single-series configuration display
+                mode_edit = QLineEdit("Single-Series")
+                mode_edit.setReadOnly(True)
+                stage_layout.addRow("Mode:", mode_edit)
+                
+                model_path_edit = QLineEdit(stage_config.model_path)
+                model_path_edit.setReadOnly(True)
+                stage_layout.addRow("Model Path:", model_path_edit)
+                
+                scpu_fw_edit = QLineEdit(stage_config.scpu_fw_path)
+                scpu_fw_edit.setReadOnly(True)
+                stage_layout.addRow("SCPU Firmware:", scpu_fw_edit)
+                
+                ncpu_fw_edit = QLineEdit(stage_config.ncpu_fw_path)
+                ncpu_fw_edit.setReadOnly(True)
+                stage_layout.addRow("NCPU Firmware:", ncpu_fw_edit)
+                
+                port_ids_edit = QLineEdit(str(stage_config.port_ids))
+                port_ids_edit.setReadOnly(True)
+                stage_layout.addRow("Port IDs:", port_ids_edit)
+            
+            # Common fields
             queue_size_spin = QSpinBox()
             queue_size_spin.setValue(stage_config.max_queue_size)
             queue_size_spin.setReadOnly(True)

ui/windows/dashboard.py

@@ -43,6 +43,7 @@ except ImportError:
 
 from config.theme import HARMONIOUS_THEME_STYLESHEET
 from config.settings import get_settings
+from utils.folder_dialog import select_assets_folder
 try:
     from core.nodes import (
         InputNode, ModelNode, PreprocessNode, PostprocessNode, OutputNode,
@@ -1323,8 +1324,74 @@ class IntegratedPipelineDashboard(QMainWindow):
         if hasattr(node, '_property_options') and prop_name in node._property_options:
             prop_options = node._property_options[prop_name]
         
-        # Check for file path properties first (from prop_options or name pattern)
+        # Special handling for assets_folder property
-        if (prop_options and isinstance(prop_options, dict) and prop_options.get('type') == 'file_path') or \
+        if prop_name == 'assets_folder':
+            # Assets folder property with validation and improved dialog
+            display_text = self.truncate_path_smart(str(prop_value)) if prop_value else 'Select Assets Folder...'
+            widget = QPushButton(display_text)
+            
+            # Set fixed width and styling to prevent expansion
+            widget.setMaximumWidth(250)
+            widget.setMinimumWidth(200)
+            widget.setStyleSheet("""
+                QPushButton {
+                    text-align: left; 
+                    padding: 5px 8px;
+                    background-color: #45475a;
+                    color: #cdd6f4;
+                    border: 1px solid #585b70;
+                    border-radius: 4px;
+                    font-size: 10px;
+                }
+                QPushButton:hover {
+                    background-color: #585b70;
+                    border-color: #a6e3a1;
+                }
+                QPushButton:pressed {
+                    background-color: #313244;
+                }
+            """)
+            
+            # Store full path for tooltip and internal use
+            full_path = str(prop_value) if prop_value else ''
+            widget.setToolTip(f"Full path: {full_path}\n\nClick to browse for Assets folder\n(Should contain Firmware/ and Models/ subfolders)")
+            
+            def browse_assets_folder():
+                # Use the specialized assets folder dialog with validation
+                result = select_assets_folder(initial_dir=full_path or '')
+                
+                if result['path']:
+                    # Update button text with truncated path
+                    truncated_text = self.truncate_path_smart(result['path'])
+                    widget.setText(truncated_text)
+                    
+                    # Create detailed tooltip with validation results
+                    tooltip_lines = [f"Full path: {result['path']}"]
+                    if result['valid']:
+                        tooltip_lines.append("✓ Valid Assets folder structure detected")
+                        if 'details' in result and 'available_series' in result['details']:
+                            series = result['details']['available_series']
+                            tooltip_lines.append(f"Available series: {', '.join(series)}")
+                    else:
+                        tooltip_lines.append(f"⚠ {result['message']}")
+                    
+                    tooltip_lines.append("\nClick to browse for Assets folder")
+                    widget.setToolTip('\n'.join(tooltip_lines))
+                    
+                    # Set property with full path
+                    if hasattr(node, 'set_property'):
+                        node.set_property(prop_name, result['path'])
+                    
+                    # Show validation message to user
+                    if not result['valid']:
+                        QMessageBox.warning(self, "Assets Folder Validation", 
+                                          f"Selected folder may not have the expected structure:\n\n{result['message']}\n\n"
+                                          "Expected structure:\nAssets/\n├── Firmware/\n│   └── KL520/, KL720/, etc.\n└── Models/\n    └── KL520/, KL720/, etc.")
+            
+            widget.clicked.connect(browse_assets_folder)
+        
+        # Check for file path properties (from prop_options or name pattern)
+        elif (prop_options and isinstance(prop_options, dict) and prop_options.get('type') == 'file_path') or \
            prop_name in ['model_path', 'source_path', 'destination']:
             # File path property with smart truncation and width limits
             display_text = self.truncate_path_smart(str(prop_value)) if prop_value else 'Select File...'

utils/__init__.py

@@ -21,8 +21,12 @@ Usage:
 # Import utilities as they are implemented
 # from . import file_utils
 # from . import ui_utils
+from .folder_dialog import select_folder, select_assets_folder, validate_assets_folder_structure
 
 __all__ = [
     # "file_utils",
     # "ui_utils"
+    "select_folder",
+    "select_assets_folder", 
+    "validate_assets_folder_structure"
 ]

utils/folder_dialog.py

@@ -0,0 +1,252 @@
+"""
+Folder selection utilities using PyQt5 as primary, tkinter as fallback
+"""
+
+import os
+
+def select_folder(title="Select Folder", initial_dir="", must_exist=True):
+    """
+    Open a folder selection dialog using PyQt5 (preferred) or tkinter (fallback)
+    
+    Args:
+        title (str): Dialog window title
+        initial_dir (str): Initial directory to open
+        must_exist (bool): Whether the folder must already exist
+        
+    Returns:
+        str: Selected folder path, or empty string if cancelled
+    """
+    # Try PyQt5 first (more reliable on macOS)
+    try:
+        from PyQt5.QtWidgets import QApplication, QFileDialog
+        import sys
+        
+        # Create QApplication if it doesn't exist
+        app = QApplication.instance()
+        if app is None:
+            app = QApplication(sys.argv)
+        
+        # Set initial directory
+        if not initial_dir:
+            initial_dir = os.getcwd()
+        elif not os.path.exists(initial_dir):
+            initial_dir = os.getcwd()
+        
+        # Open folder selection dialog
+        folder_path = QFileDialog.getExistingDirectory(
+            None,
+            title,
+            initial_dir,
+            QFileDialog.ShowDirsOnly | QFileDialog.DontResolveSymlinks
+        )
+        
+        return folder_path if folder_path else ""
+        
+    except ImportError:
+        print("PyQt5 not available, trying tkinter...")
+        
+        # Fallback to tkinter
+        try:
+            import tkinter as tk
+            from tkinter import filedialog
+            
+            # Create a root window but keep it hidden
+            root = tk.Tk()
+            root.withdraw()  # Hide the main window
+            root.attributes('-topmost', True)  # Bring dialog to front
+            
+            # Set initial directory
+            if not initial_dir:
+                initial_dir = os.getcwd()
+            
+            # Open folder selection dialog
+            folder_path = filedialog.askdirectory(
+                title=title,
+                initialdir=initial_dir,
+                mustexist=must_exist
+            )
+            
+            # Destroy the root window
+            root.destroy()
+            
+            return folder_path if folder_path else ""
+            
+        except ImportError:
+            print("tkinter also not available")
+            return ""
+        except Exception as e:
+            print(f"Error opening tkinter folder dialog: {e}")
+            return ""
+    
+    except Exception as e:
+        print(f"Error opening PyQt5 folder dialog: {e}")
+        return ""
+
+def select_assets_folder(initial_dir=""):
+    """
+    Specialized function for selecting Assets folder with validation
+    
+    Args:
+        initial_dir (str): Initial directory to open
+        
+    Returns:
+        dict: Result with 'path', 'valid', and 'message' keys
+    """
+    folder_path = select_folder(
+        title="Select Assets Folder (containing Firmware/ and Models/)",
+        initial_dir=initial_dir
+    )
+    
+    if not folder_path:
+        return {'path': '', 'valid': False, 'message': 'No folder selected'}
+    
+    # Validate folder structure
+    validation_result = validate_assets_folder_structure(folder_path)
+    
+    return {
+        'path': folder_path,
+        'valid': validation_result['valid'],
+        'message': validation_result['message'],
+        'details': validation_result.get('details', {})
+    }
+
+def validate_assets_folder_structure(folder_path):
+    """
+    Validate that a folder has the expected Assets structure
+    
+    Expected structure:
+    Assets/
+    ├── Firmware/
+    │   ├── KL520/
+    │   │   ├── fw_scpu.bin
+    │   │   └── fw_ncpu.bin
+    │   └── KL720/
+    │       ├── fw_scpu.bin
+    │       └── fw_ncpu.bin
+    └── Models/
+        ├── KL520/
+        │   └── model.nef
+        └── KL720/
+            └── model.nef
+    
+    Args:
+        folder_path (str): Path to validate
+        
+    Returns:
+        dict: Validation result with 'valid', 'message', and 'details' keys
+    """
+    if not os.path.exists(folder_path):
+        return {'valid': False, 'message': 'Folder does not exist'}
+    
+    if not os.path.isdir(folder_path):
+        return {'valid': False, 'message': 'Path is not a directory'}
+    
+    details = {}
+    issues = []
+    
+    # Check for Firmware and Models folders
+    firmware_path = os.path.join(folder_path, 'Firmware')
+    models_path = os.path.join(folder_path, 'Models')
+    
+    has_firmware = os.path.exists(firmware_path) and os.path.isdir(firmware_path)
+    has_models = os.path.exists(models_path) and os.path.isdir(models_path)
+    
+    details['has_firmware_folder'] = has_firmware
+    details['has_models_folder'] = has_models
+    
+    if not has_firmware:
+        issues.append("Missing 'Firmware' folder")
+    
+    if not has_models:
+        issues.append("Missing 'Models' folder")
+    
+    if not (has_firmware and has_models):
+        return {
+            'valid': False,
+            'message': f"Invalid folder structure: {', '.join(issues)}",
+            'details': details
+        }
+    
+    # Check for series subfolders
+    expected_series = ['KL520', 'KL720', 'KL630', 'KL730', 'KL540']
+    
+    firmware_series = []
+    models_series = []
+    
+    try:
+        firmware_dirs = [d for d in os.listdir(firmware_path) 
+                        if os.path.isdir(os.path.join(firmware_path, d))]
+        firmware_series = [d for d in firmware_dirs if d in expected_series]
+        
+        models_dirs = [d for d in os.listdir(models_path)
+                      if os.path.isdir(os.path.join(models_path, d))]
+        models_series = [d for d in models_dirs if d in expected_series]
+        
+    except Exception as e:
+        return {
+            'valid': False,
+            'message': f"Error reading folder contents: {e}",
+            'details': details
+        }
+    
+    details['firmware_series'] = firmware_series
+    details['models_series'] = models_series
+    
+    # Find common series (have both firmware and models)
+    common_series = list(set(firmware_series) & set(models_series))
+    details['available_series'] = common_series
+    
+    if not common_series:
+        return {
+            'valid': False,
+            'message': "No series found with both firmware and models folders",
+            'details': details
+        }
+    
+    # Check for actual files in series folders
+    series_with_files = []
+    for series in common_series:
+        has_files = False
+        
+        # Check firmware files
+        fw_series_path = os.path.join(firmware_path, series)
+        if os.path.exists(fw_series_path):
+            fw_files = [f for f in os.listdir(fw_series_path) 
+                       if f.endswith('.bin')]
+            if fw_files:
+                has_files = True
+        
+        # Check model files
+        model_series_path = os.path.join(models_path, series)
+        if os.path.exists(model_series_path):
+            model_files = [f for f in os.listdir(model_series_path) 
+                          if f.endswith('.nef')]
+            if model_files and has_files:
+                series_with_files.append(series)
+    
+    details['series_with_files'] = series_with_files
+    
+    if not series_with_files:
+        return {
+            'valid': False,
+            'message': "No series found with actual firmware and model files",
+            'details': details
+        }
+    
+    return {
+        'valid': True,
+        'message': f"Valid Assets folder with {len(series_with_files)} series: {', '.join(series_with_files)}",
+        'details': details
+    }
+
+# Example usage
+if __name__ == "__main__":
+    print("Testing folder selection...")
+    
+    # Test basic folder selection
+    folder = select_folder("Select any folder")
+    print(f"Selected: {folder}")
+    
+    # Test Assets folder selection with validation
+    result = select_assets_folder()
+    print(f"Assets folder result: {result}")

verify_properties.py

@@ -0,0 +1,41 @@
+#!/usr/bin/env python3
+"""
+Verify that properties are correctly set for multi-series
+"""
+
+def verify_properties():
+    """Check the expected multi-series properties"""
+    
+    print("Multi-Series Configuration Checklist:")
+    print("=" * 50)
+    
+    print("\n1. In your Dashboard, Model Node properties should have:")
+    print("   ✓ multi_series_mode = True")
+    print("   ✓ enabled_series = ['520', '720']")
+    print("   ✓ kl520_port_ids = '28,32'")
+    print("   ✓ kl720_port_ids = '4'")
+    print("   ✓ assets_folder = (optional, for auto model/firmware detection)")
+    
+    print("\n2. After setting these properties, when you deploy:")
+    print("   Expected output should show:")
+    print("   '[stage_1_Model_Node] Using multi-series mode with config: ...'")
+    print("   NOT: 'Single-series config converted to multi-series format'")
+    
+    print("\n3. If you still see single-series behavior:")
+    print("   a) Double-check property names (they should be lowercase)")
+    print("   b) Make sure multi_series_mode is checked/enabled")
+    print("   c) Verify port IDs are comma-separated strings")
+    print("   d) Save the .mflow file and re-deploy")
+    
+    print("\n4. Property format reference:")
+    print("   - kl520_port_ids: '28,32' (string, comma-separated)")
+    print("   - kl720_port_ids: '4' (string)")
+    print("   - enabled_series: ['520', '720'] (list)")
+    print("   - multi_series_mode: True (boolean)")
+    
+    print("\n" + "=" * 50)
+    print("If properties are set correctly, your deployment should use")
+    print("true multi-series load balancing across KL520 and KL720 dongles!")
+
+if __name__ == "__main__":
+    verify_properties()