cleanup: Remove debug output after successful fix verification

- Remove all debug print statements from deployment dialog
- Remove debug output from workflow orchestrator and inference pipeline
- Remove test signal emissions and unused imports
- Code is now clean and production-ready
- Results are successfully flowing from inference to GUI display

cluster4npu_ui/core/functions/InferencePipeline.py

@@ -485,10 +485,7 @@ class InferencePipeline:
                         
                         # Call result callback
                         if self.result_callback:
-                            print(f"🔍 PIPELINE DEBUG: Calling result_callback with: {current_data}")
                             self.result_callback(current_data)
-                        else:
-                            print(f"🔍 PIPELINE DEBUG: No result_callback set!")
                             
                     except queue.Full:
                         # Drop oldest and add new

cluster4npu_ui/core/functions/workflow_orchestrator.py

@@ -61,7 +61,6 @@ class WorkflowOrchestrator:
         # Set the result callback on the pipeline - always set this regardless of result_handler
         # The handle_result method will decide what to do with the results
         self.pipeline.set_result_callback(self.handle_result)
-        print(f"🔍 ORCHESTRATOR DEBUG: Set result callback on pipeline")
 
         # Start the pipeline
         self.pipeline.initialize()
@@ -160,9 +159,6 @@ class WorkflowOrchestrator:
         """
         Callback function to handle results from the pipeline.
         """
-        print(f"🔍 ORCHESTRATOR DEBUG: handle_result called with: {result_data}")
-        print(f"🔍 ORCHESTRATOR DEBUG: result_callback is: {self.result_callback}")
-        
         try:
             # Convert PipelineData to a dictionary for serialization
             result_dict = {
@@ -182,10 +178,7 @@ class WorkflowOrchestrator:
             
             # Always call the result callback if set (for GUI updates)
             if self.result_callback:
-                print(f"🔍 ORCHESTRATOR DEBUG: Calling result_callback with: {result_dict}")
                 self.result_callback(result_dict)
-            else:
-                print(f"🔍 ORCHESTRATOR DEBUG: No result_callback set in orchestrator!")
                 
         except Exception as e:
             print(f"❌ Error handling result: {e}")

cluster4npu_ui/ui/dialogs/deployment.py

@@ -23,7 +23,6 @@ import sys
 import json
 import threading
 import traceback
-import time
 from typing import Dict, Any, List, Optional
 from PyQt5.QtWidgets import (
     QDialog, QVBoxLayout, QHBoxLayout, QLabel, QTextEdit, QPushButton,
@@ -137,10 +136,6 @@ class DeploymentWorker(QThread):
                 
                 # Set up both GUI and terminal result callbacks
                 def combined_result_callback(result_dict):
-                    # Debug print to see what we're receiving
-                    print(f"🔍 DEBUG: Received result_dict in callback: {result_dict}")
-                    print(f"🔍 DEBUG: Stage results: {result_dict.get('stage_results', {})}")
-                    
                     # Send to GUI terminal and results display
                     terminal_output = self._format_terminal_results(result_dict)
                     self.terminal_output.emit(terminal_output)
@@ -149,18 +144,6 @@ class DeploymentWorker(QThread):
                 
                 self.orchestrator.set_result_callback(combined_result_callback)
                 
-                # Test emit a sample result to verify GUI connection
-                test_result = {
-                    'pipeline_id': 'test_pipeline',
-                    'timestamp': time.time(),
-                    'stage_results': {
-                        'test_stage': (-0.5, 'Test Result')
-                    },
-                    'metadata': {}
-                }
-                print("🔍 DEBUG: Emitting test result to verify GUI connection")
-                self.result_updated.emit(test_result)
-                self.terminal_output.emit("🧪 TEST: This is a test terminal message")
                 
                 self.orchestrator.start()
                 
@@ -675,8 +658,6 @@ Stage Configurations:
         self.deployment_worker.result_updated.connect(self.update_inference_results)
         self.deployment_worker.terminal_output.connect(self.update_terminal_output)
         
-        # Test the signal connections
-        print("🔍 DEBUG: Signal connections established")
         
         self.deployment_worker.start()
     
@@ -792,9 +773,6 @@ Stage Configurations:
             import json
             from datetime import datetime
             
-            # Debug: Print what we received
-            print(f"🔍 GUI DEBUG: update_inference_results called with: {result_dict}")
-            
             # Format the results for display
             timestamp = datetime.fromtimestamp(result_dict.get('timestamp', 0)).strftime("%H:%M:%S.%f")[:-3]
             stage_results = result_dict.get('stage_results', {})