� PHASE 5

app.py

@@ -1,175 +1,38 @@
 #!/usr/bin/env python3
 """
-Agent2Robot - FIXED VERSION
-Problem: Generator functions with yield cause Gradio schema errors
-Solution: Convert to regular function returning final results
+Agent2Robot - MINIMAL WORKING VERSION
+Based on successful Step 4 but with simple return function
 """
 
 import gradio as gr
-import os
-import json
-import tempfile
-from datetime import datetime
 
-# Simplified backend simulation (replace with your actual imports)
-class MockHackathonVehicleDesigner:
-    """Mock version of your designer for testing the fix"""
-    def __init__(self):
-        self.vehicle_type = "robot"
-        self.user_task_description = ""
-        self.process_log = []
-        self.all_attempts = []
-        self.best_attempt = None
-        self.best_iteration = 1
-        self.overall_success = True
-    
-    def reset_design_session(self):
-        self.process_log = []
-        self.all_attempts = []
-        
-    def log_process_step(self, message):
-        self.process_log.append(message)
-    
-    def parse_user_task_for_criteria(self, description):
-        return ["Cross obstacle", "Remain stable", "Stop safely"]
-    
-    def run_single_iteration(self, iteration):
-        # Mock iteration
-        self.all_attempts.append({
-            'vehicle_specs': {
-                'wheel_radius': 0.05,
-                'body_length': 0.2,
-                'body_width': 0.15,
-                'body_height': 0.1,
-                'wheel_distance': 0.18
-            },
-            'design_reasoning': f'Iteration {iteration}: Optimized design for obstacle crossing',
-            'evaluation_results': {
-                'final_robot_x_position': 0.85,
-                'robot_crossed_obstacle': True,
-                'robot_remains_upright': True,
-                'no_significant_collision_with_obstacle_during_pass': True,
-                'overall_success': True
-            }
-        })
-        self.best_attempt = self.all_attempts[-1]
-        return True
-    
-    def create_final_visualization(self):
-        return None  # Mock - return None for no image
-    
-    def save_design_specs_json(self):
-        return None  # Mock - return None for no file
-
-# Create mock designer
-designer = MockHackathonVehicleDesigner()
-
-def ui_function_fixed(vehicle_type, user_description):
-    """
-    FIXED: Regular function (no yield) that returns final results
-    This replaces the problematic generator function
-    """
-    global designer
-    
-    # Reset designer for new task
-    designer.reset_design_session()
-    designer.vehicle_type = vehicle_type.lower()
-    designer.user_task_description = user_description
-    
-    # Process in one go (no real-time updates)
-    designer.log_process_step("🚀 Initializing Agent2Robot system...")
-    
-    # Parse user criteria
-    designer.log_process_step("🎯 Analyzing user task and success criteria...")
-    criteria = designer.parse_user_task_for_criteria(user_description)
-    
-    designer.log_process_step(f"📋 Interpreted success criteria:")
-    for criterion in criteria:
-        designer.log_process_step(f"  • {criterion}")
-    
-    # Start design process
-    designer.log_process_step(f"🚀 Starting {vehicle_type} design process...")
-    designer.log_process_step(f"🎯 Target: {user_description}")
-    
-    # Run iterations (simplified - no real-time updates)
-    MAX_ITERATIONS = 3
-    for iteration in range(1, MAX_ITERATIONS + 1):
-        designer.log_process_step(f"\n=== Iteration {iteration}/{MAX_ITERATIONS} ===")
-        
-        try:
-            success = designer.run_single_iteration(iteration)
-            if success:
-                designer.log_process_step("🎉 SUCCESS! Design meets all criteria!")
-                break
-        except Exception as e:
-            designer.log_process_step(f"❌ Error in iteration {iteration}: {str(e)}")
-    
-    # Generate final results
-    designer.log_process_step("📊 Generating final results...")
-    
-    # Prepare final outputs
-    if designer.overall_success:
-        final_status = "## 🎉 SUCCESS!\n\nThe LLM agent successfully designed a vehicle that meets all criteria!"
-    else:
-        final_status = "## ⚠️ PROCESS COMPLETED\n\nThe agent completed all iterations. Showing best attempt found."
-    
-    # Get best design specs
-    best_specs = designer.best_attempt['vehicle_specs'] if designer.best_attempt else {}
-    
-    # Create visualization (mock)
-    simulation_gif_path = designer.create_final_visualization()
-    
-    # Format performance summary
-    if designer.best_attempt:
-        eval_results = designer.best_attempt['evaluation_results']
-        performance_summary = f"""## 📊 Performance Summary of Best Design
-
-**Iteration Found**: {designer.best_iteration}/{len(designer.all_attempts)}
-**Final Position**: {eval_results.get('final_robot_x_position', 0.0):.3f}m
-**Crossed Obstacle**: {'✅ Yes' if eval_results.get('robot_crossed_obstacle', False) else '❌ No'}
-**Remained Stable**: {'✅ Yes' if eval_results.get('robot_remains_upright', False) else '❌ No'}
-**Clean Pass**: {'✅ Yes' if eval_results.get('no_significant_collision_with_obstacle_during_pass', False) else '❌ No'}
-
-**Overall Success**: {'✅ ACHIEVED' if eval_results.get('overall_success', False) else '❌ NOT FULLY ACHIEVED'}
-
-**Target Distance**: 0.8m (obstacle clearance)
-**Achieved Distance**: {eval_results.get('final_robot_x_position', 0.0):.3f}m
-**Success Rate**: {100 if eval_results.get('overall_success', False) else 0}%
-"""
-    else:
-        performance_summary = "## ❌ No successful attempts recorded"
-    
-    # Get LLM rationale
-    llm_rationale = designer.best_attempt['design_reasoning'] if designer.best_attempt else "No design reasoning available"
-    
-    # Create downloadable specs (mock)
-    download_specs_path = designer.save_design_specs_json()
-    
-    # Final log update
-    designer.log_process_step(f"\n🏁 DESIGN PROCESS COMPLETED")
-    designer.log_process_step(f"📊 Total iterations: {len(designer.all_attempts)}")
-    designer.log_process_step(f"🏆 Best iteration: {designer.best_iteration}")
-    designer.log_process_step(f"✅ Overall success: {designer.overall_success}")
-    
-    final_log = "\n".join(designer.process_log)
+def simple_test_function(vehicle_type, user_description):
+    """Simple test function that returns results like Step 4 worked"""
+    if not user_description:
+        user_description = "No description provided"
+    
+    # Simple return (like Step 4 but with return instead of yield)
+    text_output = f"✅ COMPLETED!\nVehicle: {vehicle_type}\nDescription: {user_description}\nTest successful!"
+    json_output = {
+        "vehicle_type": vehicle_type,
+        "description": user_description,
+        "test_status": "success",
+        "parameters": {
+            "speed": 5.2,
+            "weight": 1.8,
+            "dimensions": [10, 8, 6]
+        }
+    }
+    progress_value = 100
+    image_output = None
+    file_output = None
     
-    # RETURN (not yield) all 9 outputs at once
-    return (
-        final_log,                                    # process_log_output
-        best_specs,                                   # current_design_specs_output
-        100,                                          # progress_bar_output
-        final_status,                                 # final_status_output
-        simulation_gif_path,                          # simulation_video_output
-        best_specs,                                   # best_design_specs_output
-        download_specs_path,                          # download_json_output
-        performance_summary,                          # performance_summary_output
-        llm_rationale                                 # llm_rationale_output
-    )
+    return text_output, json_output, progress_value, image_output, file_output
 
-def create_fixed_agent2robot_interface():
-    """Create the FIXED Agent2Robot Gradio interface"""
+def create_minimal_working_app():
+    """MINIMAL working app based on successful Step 4"""
     
-    # Custom CSS for better appearance
+    # Exact same CSS as Step 4 (worked)
     custom_css = """
     .main-header {
         text-align: center;
@@ -180,34 +43,31 @@ def create_fixed_agent2robot_interface():
         margin-bottom: 20px;
         box-shadow: 0 8px 16px rgba(0,0,0,0.1);
     }
-    .process-log {
-        font-family: 'Courier New', monospace;
-        font-size: 12px;
-        line-height: 1.4;
-    }
     """
     
     with gr.Blocks(
-        title="🤖🚁 Agent2Robot - FIXED VERSION",
+        title="🤖🚁 Agent2Robot - MINIMAL WORKING",
         theme=gr.themes.Soft(),
         css=custom_css
     ) as demo:
         
-        # Header Section
+        # Exact same header as Step 4 (worked)
         gr.HTML("""
         <div class="main-header">
-            <h1>🤖🚁 Agent2Robot - FIXED!</h1>
-            <h2>LLM-Agent-Designed Obstacle-Passing Vehicle System</h2>
-            <p><strong>✅ PROBLEM SOLVED: Generator function converted to regular function</strong></p>
-            <p>Describe your desired vehicle and task in natural language!</p>
+            <h1>🤖🚁 Agent2Robot</h1>
+            <h2>MINIMAL WORKING VERSION</h2>
+            <p><strong>Based on successful Step 4 components</strong></p>
         </div>
         """)
         
-        # Main Input Section
+        # Exact same layout as Step 4 (worked)
+        gr.Markdown("## 🔧 MINIMAL WORKING TEST")
+        
         with gr.Row():
             with gr.Column(scale=1):
                 gr.Markdown("## 🎯 1. Define Your Vehicle Challenge")
                 
+                # Exact same components as Step 4 (worked)
                 vehicle_type_input = gr.Radio(
                     choices=["Robot", "Drone"], 
                     label="1. Choose Vehicle Type",
@@ -229,26 +89,26 @@ def create_fixed_agent2robot_interface():
                 )
                 
                 gr.Markdown("""
-                ### ✅ FIXED!
-                - **Problem**: Generator function with yield statements
-                - **Solution**: Regular function returning final results
-                - **Status**: Schema error resolved!
+                ### 📋 Status
+                - **Version**: Minimal working (Step 4 base)
+                - **Function**: Simple return (no yield)
+                - **Goal**: Isolate the problematic component
                 """)
             
             with gr.Column(scale=2):
-                gr.Markdown("## 🤖 2. AI Agent Results")
+                gr.Markdown("## 🤖 2. Test Outputs")
                 
-                process_log_output = gr.Textbox(
-                    label="🤖 AI Agent - Process Log",
-                    lines=15,
-                    interactive=False,
-                    elem_classes=["process-log"],
-                    value=""
+                # Exact same output components as Step 4 (worked)
+                output_textbox = gr.Textbox(
+                    label="📝 Text Output",
+                    lines=5,
+                    value="",
+                    interactive=False
                 )
                 
                 with gr.Row():
                     current_design_specs_output = gr.JSON(
-                        label="⚙️ Design Specs",
+                        label="⚙️ JSON Output Test",
                         value={}
                     )
                     
@@ -261,87 +121,47 @@ def create_fixed_agent2robot_interface():
                         show_label=True,
                         value=0
                     )
-        
-        # Results Section
-        with gr.Accordion("🏆 Final Results & Design Specifications", open=True):
-            final_status_output = gr.Markdown(
-                value="Click 'Start AI Design Process' to begin..."
-            )
-            
-            with gr.Row():
-                with gr.Column(scale=2):
-                    simulation_video_output = gr.Image(
-                        label="🎬 Simulation of Best Design's Trial",
-                        interactive=False,
-                        height=300,
-                        value=None
-                    )
-                    
-                    performance_summary_output = gr.Markdown(
-                        label="📊 Performance Summary",
-                        value=""
-                    )
                 
-                with gr.Column(scale=1):
-                    best_design_specs_output = gr.JSON(
-                        label="🔩 Best Vehicle Design Specifications",
-                        value={}
-                    )
-                    
-                    download_json_output = gr.File(
-                        label="📄 Download Design Specs (JSON)",
-                        file_count="single",
-                        type="filepath",
-                        interactive=True,
-                        value=None
-                    )
-                    
-                    llm_rationale_output = gr.Textbox(
-                        label="💡 LLM's Design Rationale",
-                        lines=6,
-                        interactive=False,
-                        value=""
-                    )
+                simulation_video_output = gr.Image(
+                    label="🎬 Image Output Test",
+                    interactive=False,
+                    height=200,
+                    value=None
+                )
+                
+                download_json_output = gr.File(
+                    label="📄 File Output Test",
+                    file_count="single",
+                    type="filepath",
+                    interactive=True,
+                    value=None
+                )
         
-        # Connect button to FIXED function (no more yield!)
+        # Simple button connection (5 outputs like Step 4)
         start_button.click(
-            fn=ui_function_fixed,
-            inputs=[vehicle_type_input, user_description_input],
+            fn=simple_test_function, 
+            inputs=[vehicle_type_input, user_description_input], 
             outputs=[
-                process_log_output,
-                current_design_specs_output,
+                output_textbox, 
+                current_design_specs_output, 
                 progress_bar_output,
-                final_status_output,
                 simulation_video_output,
-                best_design_specs_output,
-                download_json_output,
-                performance_summary_output,
-                llm_rationale_output
+                download_json_output
             ]
         )
         
-        # Information Footer
         gr.Markdown("---")
-        gr.Markdown("""
-        ## ✅ PROBLEM SOLVED!
-        
-        **Root Cause**: Generator functions with `yield` statements cause `TypeError: argument of type 'bool' is not iterable` during Gradio's API schema generation.
-        
-        **Solution**: Convert generator function to regular function that returns final results instead of yielding intermediate updates.
-        
-        **Trade-off**: No real-time progress updates, but fully functional interface.
-        """)
+        gr.Markdown("**Status**: If this works, we can add components one by one to find the problematic one.")
     
     return demo
 
 if __name__ == "__main__":
-    print("🤖🚁 Agent2Robot - FIXED VERSION")
-    print("=" * 60)
-    print("✅ Generator function converted to regular function")
-    print("🚀 Launching fixed interface...")
+    print("🔧 Agent2Robot - MINIMAL WORKING VERSION")
+    print("=" * 50)
+    print("🚀 Testing minimal working components...")
     
     try:
-        app = create_fixed_agent2robot_interface()
+        app = create_minimal_working_app()
         app.launch(
             server_name="0.0.0.0",
             server_port=7860,
@@ -352,4 +172,4 @@ if __name__ == "__main__":
         )
     except Exception as e:
         print(f"❌ Error launching app: {e}")
-        print("Please check the implementation.") 
+        print("Even minimal version has issues!")