Update app.py

app.py

@@ -14,6 +14,35 @@ import asyncio
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
+@dataclass
+class Config:
+    """Configuration class for the agent system"""
+    rag_system_path: str
+    max_workers: int = 10
+    log_level: str = "INFO"
+    model_settings: Dict[str, Any] = field(default_factory=dict)
+    api_keys: Dict[str, str] = field(default_factory=dict)
+
+    def __post_init__(self):
+        """Validate configuration after initialization"""
+        if not hasattr(self, 'rag_system_path'):
+            raise ValueError("RAG system path must be specified in config")
+
+class RAGSystem:
+    """Retrieval Augmented Generation System"""
+    def __init__(self, config: Config):
+        self.config = config
+        self.model_settings = config.model_settings
+
+    async def generate_reasoning(self, prompt: str) -> str:
+        """Generate reasoning based on the provided prompt"""
+        try:
+            # Placeholder for actual RAG implementation
+            return f"Generated reasoning for: {prompt}"
+        except Exception as e:
+            logger.error(f"Error in RAG system: {e}")
+            raise
+
 class AgentRole(Enum):
     ARCHITECT = auto()
     FRONTEND = auto()
@@ -45,9 +74,13 @@ class Agent:
     autonomy_level: float  # 0-10
     expertise: List[str]
     confidence_threshold: float = 0.7
+    rag_system: RAGSystem = None
 
     async def reason(self, context: Dict[str, Any]) -> str:
         """Generate reasoning based on context and expertise"""
+        if not self.rag_system:
+            raise ValueError("RAG system not initialized")
+            
         prompt = f"""
         As {self.name}, a {self.role.name} expert with expertise in {', '.join(self.expertise)},
         analyze the following context and provide reasoning:
@@ -65,17 +98,31 @@ class Agent:
         """
         return await self.rag_system.generate_reasoning(prompt)
 
+    async def decide(self, context: Dict[str, Any]) -> AgentDecision:
+        """Make a decision based on context and expertise"""
+        reasoning = await self.reason(context)
+        confidence = 0.8  # Placeholder for actual confidence calculation
+        
+        return AgentDecision(
+            agent=self,
+            decision=f"Decision based on {reasoning}",
+            confidence=confidence,
+            reasoning=reasoning
+        )
+
 class AgentSystem:
     def __init__(self, config: Config):
         self.config = config
         self.autonomy_level = 0.0  # 0-10
+        self.rag_system = RAGSystem(config)
         self.agents: Dict[AgentRole, Agent] = self._initialize_agents()
         self.decision_history: List[AgentDecision] = []
-        self.executor = ThreadPoolExecutor(max_workers=10)
-        self.rag_system = RAGSystem(config)
+        self.executor = ThreadPoolExecutor(max_workers=config.max_workers)
+        self.validator = AgentValidator()
+        self.tester = AgentTester()
 
     def _initialize_agents(self) -> Dict[AgentRole, Agent]:
-        return {
+        agents = {
             AgentRole.ARCHITECT: Agent(
                 role=AgentRole.ARCHITECT,
                 name="System Architect",
@@ -107,6 +154,12 @@ class AgentSystem:
                 expertise=["code quality", "best practices", "security"]
             ),
         }
+        
+        # Initialize RAG system for each agent
+        for agent in agents.values():
+            agent.rag_system = self.rag_system
+            
+        return agents
 
     async def set_autonomy_level(self, level: float) -> None:
         """Update autonomy level for all agents"""
@@ -172,6 +225,35 @@ class AgentSystem:
             'estimated_time': self._estimate_implementation_time(tasks)
         }
 
+    async def _create_frontend_tasks(self, arch_decision: AgentDecision) -> Dict[str, Any]:
+        """Create frontend implementation tasks"""
+        return {
+            'type': 'frontend',
+            'components': [],  # Add component definitions
+            'dependencies': arch_decision.dependencies
+        }
+
+    async def _create_backend_tasks(self, arch_decision: AgentDecision) -> Dict[str, Any]:
+        """Create backend implementation tasks"""
+        return {
+            'type': 'backend',
+            'endpoints': [],  # Add endpoint definitions
+            'dependencies': arch_decision.dependencies
+        }
+
+    async def _create_testing_tasks(self, arch_decision: AgentDecision) -> Dict[str, Any]:
+        """Create testing tasks"""
+        return {
+            'type': 'testing',
+            'test_cases': [],  # Add test case definitions
+            'dependencies': arch_decision.dependencies
+        }
+
+    def _estimate_implementation_time(self, tasks: List[Dict[str, Any]]) -> float:
+        """Estimate implementation time based on tasks"""
+        return sum(len(task.get('components', [])) + len(task.get('endpoints', [])) 
+                  for task in tasks) * 2.0  # hours per task
+
     async def _automated_implementation(self, plan: Dict[str, Any]) -> Dict[str, Any]:
         """Execute implementation plan automatically"""
         results = {
@@ -215,6 +297,22 @@ class AgentSystem:
                 'partial_results': results
             }
 
+    async def _implement_frontend(self, tasks: Dict[str, Any]) -> Dict[str, Any]:
+        """Implement frontend components"""
+        return {'components': [], 'status': 'implemented'}
+
+    async def _implement_backend(self, tasks: Dict[str, Any]) -> Dict[str, Any]:
+        """Implement backend components"""
+        return {'endpoints': [], 'status': 'implemented'}
+
+    def _get_next_steps(self, decision: AgentDecision) -> List[str]:
+        """Get next steps based on decision"""
+        return [
+            f"Review {decision.decision}",
+            "Provide feedback on the proposed approach",
+            "Approve or request changes"
+        ]
+
     async def _handle_implementation_failure(self, error: Exception, context: Dict[str, Any]) -> Dict[str, Any]:
         """Handle implementation failures with adaptive response"""
         try:
@@ -242,6 +340,22 @@ class AgentSystem:
             logger.error(f"Error handling implementation failure: {e}")
             return {'status': 'critical_error', 'message': str(e)}
 
+    async def _attempt_automatic_correction(self, error_analysis: Dict[str, Any]) -> Dict[str, Any]:
+        """Attempt to automatically correct implementation issues"""
+        return {
+            'success': False,
+            'context': {},
+            'message': 'Automatic correction not implemented'
+        }
+
+    def _suggest_corrections(self, error_analysis: Dict[str, Any]) -> List[str]:
+        """Generate suggested corrections based on error analysis"""
+        return [
+            "Review error details",
+            "Check implementation requirements",
+            "Verify dependencies"
+        ]
+
 class AgentTester:
     def __init__(self):
         self.test_suites = {
@@ -314,6 +428,32 @@ class AgentTester:
 
         return results
 
+    async def _test_component_render(self, component: Dict[str, Any]) -> Dict[str, Any]:
+        """Test component rendering"""
+        # Placeholder for actual component rendering test
+        return {'success': True, 'error': None}
+
+    async def _test_endpoint(self, endpoint: Dict[str, Any]) -> Dict[str, Any]:
+        """Test endpoint functionality"""
+        # Placeholder for actual endpoint test
+        return {'success': True, 'error': None}
+
+    async def _test_component_render(self, component: Dict[str, Any]) -> Dict[str, Any]:
+        """Test component rendering"""
+        # Placeholder for actual component rendering test
+        return {'success': True, 'error': None}
+
+    async def _test_endpoint(self, endpoint: Dict[str, Any]) -> Dict[str, Any]:
+        """Test endpoint functionality"""
+        # Placeholder for actual endpoint test
+        return {'success': True, 'error': None}
+
+        async def _test_frontend_backend_integration(self, implementation: Dict[str, Any]) -> Dict[str, Any]:
+        """Test frontend-backend integration"""
+        # Placeholder for actual integration test
+        return {'success': True, 'error': None}
+
+
 class AgentValidator:
     def __init__(self):
         self.validators = {
@@ -322,315 +462,68 @@ class AgentValidator:
             'performance': self._validate_performance
         }
 
-    async def validate_implementation(self, implementation: Dict[str, Any]) -> Dict[str, Any]:
-        """Validate implementation against best practices"""
+    async def _validate_code_quality(self, code: str) -> Dict[str, Any]:
+        """Validate code quality metrics"""
         results = {
             'passed': [],
             'failed': [],
             'warnings': []
         }
+        
+        # Add code quality validation logic here
+        return results
 
-        for validator_name, validator in self.validators.items():
-            try:
-                validation_result = await validator(implementation)
-                results['passed'].extend(validation_result.get('passed', []))
-                results['failed'].extend(validation_result.get('failed', []))
-                results['warnings'].extend(validation_result.get('warnings', []))
-            except Exception as e:
-                results['warnings'].append(f"Validator {validator_name} error: {str(e)}")
+    async def _validate_security(self, implementation: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate security best practices"""
+        results = {
+            'passed': [],
+            'failed': [],
+            'warnings': []
+        }
+        
+        # Add security validation logic here
+        return results
 
+    async def _validate_performance(self, implementation: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate performance metrics"""
+        results = {
+            'passed': [],
+            'failed': [],
+            'warnings': []
+        }
+        
+        # Add performance validation logic here
         return results
 
-class GradioInterface:
-    def __init__(self, config: Config):
-        self.config = config
-        self.agent_system = AgentSystem(config)
-        self.explorer = CodeExplorer()
-        self.backend_generator = BackendGenerator(config)
-        self.file_handler = FileHandler()
-        self.preview_size = {"width": "100%", "height": "600px"}
-        self.is_preview_loading = False
-
-    def launch(self) -> None:
-        with gr.Blocks(theme=gr.themes.Base()) as interface:
-            # Header
-            gr.Markdown("# AI-Powered Development Environment")
-
-            with gr.Tabs() as tabs:
-                # Code Generation Tab
-                with gr.Tab("Code Generation"):
-                    with gr.Row():
-                        with gr.Column(scale=1):
-                            code_input = gr.Code(
-                                label="Input Code",
-                                language="python",
-                                lines=20
-                            )
-                            generate_button = gr.Button("Generate")
-
-                        with gr.Column(scale=1):
-                            code_output = gr.Code(
-                                label="Generated Code",
-                                language="python",
-                                lines=20
-                            )
-                            status_message = gr.Markdown("")
-
-                # Agent Control Tab
-                with gr.Tab("Agent Control"):
-                    with gr.Row():
-                        autonomy_slider = gr.Slider(
-                            minimum=0,
-                            maximum=10,
-                            value=0,
-                            step=0.1,
-                            label="Agent Autonomy Level",
-                            info="0: Manual, 10: Fully Autonomous"
-                        )
-
-                    with gr.Row():
-                        with gr.Column(scale=1):
-                            project_description = gr.Textbox(
-                                label="Project Description",
-                                placeholder="Describe what you want to build...",
-                                lines=5
-                            )
-
-                            with gr.Accordion("Advanced Options", open=False):
-                                framework_choice = gr.Dropdown(
-                                    choices=["React", "Vue", "Angular", "FastAPI", "Flask", "Django"],
-                                    multiselect=True,
-                                    label="Preferred Frameworks"
-                                )
-                                architecture_style = gr.Radio(
-                                    choices=["Monolithic", "Microservices", "Serverless"],
-                                    label="Architecture Style",
-                                    value="Monolithic"
-                                )
-                                testing_preference = gr.Checkbox(
-                                    label="Include Tests",
-                                    value=True
-                                )
-
-                            process_button = gr.Button("Process Request")
-
-                        with gr.Column(scale=2):
-                            with gr.Tabs() as agent_tabs:
-                                with gr.Tab("Decision Log"):
-                                    decision_log = gr.JSON(
-                                        label="Agent Decisions",
-                                        show_label=True
-                                    )
-
-                                with gr.Tab("Implementation"):
-                                    with gr.Tabs() as impl_tabs:
-                                        with gr.Tab("Frontend"):
-                                            frontend_code = gr.Code(
-                                                label="Frontend Implementation",
-                                                language="javascript",
-                                                lines=20
-                                            )
-                                        with gr.Tab("Backend"):
-                                            backend_code = gr.Code(
-                                                label="Backend Implementation",
-                                                language="python",
-                                                lines=20
-                                            )
-                                        with gr.Tab("Database"):
-                                            database_code = gr.Code(
-                                                label="Database Schema",
-                                                language="sql",
-                                                lines=20
-                                            )
-
-                                with gr.Tab("Test Results"):
-                                    test_results = gr.JSON(
-                                        label="Test Results"
-                                    )
-                                    rerun_tests_button = gr.Button("Rerun Tests")
-
-                                with gr.Tab("Agent Chat"):
-                                    agent_chat = gr.Chatbot(
-                                        label="Agent Discussion",
-                                        height=400
-                                    )
-                                    chat_input = gr.Textbox(
-                                        label="Ask Agents",
-                                        placeholder="Type your question here..."
-                                    )
-                                    chat_button = gr.Button("Send")
-
-                    with gr.Row():
-                        status_output = gr.Markdown("System ready.")
-                        with gr.Column():
-                            progress = gr.Progress(
-                                label="Implementation Progress",
-                                show_progress=True
-                            )
-
-                # Explorer Tab
-                with gr.Tab("Code Explorer"):
-                    with gr.Row():
-                        with gr.Column(scale=1):
-                            component_list = gr.Dropdown(
-                                label="Components",
-                                choices=list(self.explorer.components.keys()),
-                                interactive=True
-                            )
-                            refresh_button = gr.Button("Refresh")
-
-                            with gr.Accordion("Add Component", open=False):
-                                component_name = gr.Textbox(label="Name")
-                                component_type = gr.Dropdown(
-                                    label="Type",
-                                    choices=['frontend', 'backend', 'database', 'api']
-                                )
-                                component_code = gr.Code(
-                                    label="Code",
-                                    language="python"
-                                )
-                                add_button = gr.Button("Add")
-
-                        with gr.Column(scale=2):
-                            component_details = gr.JSON(
-                                label="Component Details"
-                            )
-                            dependency_graph = gr.Plot(
-                                label="Dependencies"
-                            )
-
-            # Event Handlers
-            async def update_autonomy(level):
-                await self.agent_system.set_autonomy_level(level)
-                return f"Autonomy level set to {level}"
-
-            async def process_request(description, level):
-                try:
-                    # Update autonomy level
-                    await self.agent_system.set_autonomy_level(level)
-
-                    # Process request
-                    result = await self.agent_system.process_request(description)
-
-                    # Update UI based on result status
-                    if result['status'] == 'pending_confirmation':
-                        return {
-                            decision_log: result['decision'],
-                            frontend_code: "",
-                            backend_code: "",
-                            database_code: "",
-                            test_results: {},
-                            status_output: "Waiting for user confirmation...",
-                            progress: 0.3
-                        }
-                    elif result['status'] == 'completed':
-                        return {
-                            decision_log: result['decisions'],
-                            frontend_code: result['implementations'].get('frontend', ''),
-                            backend_code: result['implementations'].get('backend', ''),
-                            database_code: result['implementations'].get('database', ''),
-                            test_results: result['test_results'],
-                            status_output: "Implementation completed successfully!",
-                            progress: 1.0
-                        }
-                    else:
-                        return {
-                            status_output: f"Error: {result['message']}",
-                            progress: 0
-                        }
-
-                except Exception as e:
-                    return {
-                        status_output: f"Error: {str(e)}",
-                        progress: 0
-                    }
-
-            async def handle_chat(message, history):
-                try:
-                    response = await self.agent_system.process_chat(message, history)
-                    history.append((message, response))
-                    return history
-                except Exception as e:
-                    logger.error(f"Chat error: {e}")
-                    return history + [(message, f"Error: {str(e)}")]
-
-            async def refresh_components():
-                return gr.Dropdown(choices=list(self.explorer.components.keys()))
-
-            async def add_component(name, type, code):
-                try:
-                    success = await self.explorer.add_component(name, type, code)
-                    return {
-                        component_list: gr.Dropdown(choices=list(self.explorer.components.keys())),
-                        status_output: "Component added successfully" if success else "Failed to add component"
-                    }
-                except Exception as e:
-                    return {
-                        status_output: f"Error adding component: {str(e)}"
-                    }
-
-            async def show_component_details(name):
-                try:
-                    component = await self.explorer.get_component(name)
-                    if not component:
-                        return None, None
-
-                    graph = await self.explorer.visualize_dependencies(name)
-                    return component, graph
-                except Exception as e:
-                    logger.error(f"Error showing component details: {e}")
-                    return None, None
-
-            # Connect event handlers
-            autonomy_slider.change(
-                fn=update_autonomy,
-                inputs=[autonomy_slider],
-                outputs=[status_output]
-            )
-
-            process_button.click(
-                fn=process_request,
-                inputs=[
-                    project_description,
-                    autonomy_slider,
-                ],
-                outputs=[
-                    decision_log,
-                    frontend_code,
-                    backend_code,
-                    database_code,
-                    test_results,
-                    status_output,
-                    progress
-                ]
-            )
-
-            chat_button.click(
-                fn=handle_chat,
-                inputs=[chat_input, agent_chat],
-                outputs=[agent_chat]
-            )
-
-            refresh_button.click(
-                fn=refresh_components,
-                outputs=[component_list]
-            )
-
-            add_button.click(
-                fn=add_component,
-                inputs=[component_name, component_type, component_code],
-                outputs=[component_list, status_output]
-            )
-
-            component_list.change(
-                fn=show_component_details,
-                inputs=[component_list],
-                outputs=[component_details, dependency_graph]
-            )
-
-        # Launch the interface
-        interface.launch(
-            server_port=self.config.port,
-            share=self.config.share,
-            debug=self.config.debug
-        )
+    async def validate(self, implementation: Dict[str, Any]) -> Dict[str, Any]:
+        """Run all validators on the implementation"""
+        results = {
+            'code_quality': await self._validate_code_quality(implementation.get('code', '')),
+            'security': await self._validate_security(implementation),
+            'performance': await self._validate_performance(implementation)
+        }
+        return results
+
+
+# Example usage
+if __name__ == "__main__":
+    async def main():
+        config = Config(
+            rag_system_path="/path/to/rag",
+            max_workers=10,
+            log_level="INFO",
+            model_settings={},
+            api_keys={}
+        )
+
+        agent_system = AgentSystem(config)
+        await agent_system.set_autonomy_level(5.0)
+
+        result = await agent_system.process_request(
+            description="Create a new web application",
+            context={"requirements": ["user authentication", "dashboard", "API"]}
+        )
+        print(json.dumps(result, indent=2))
+
+    # Run the async main function
+    asyncio.run(main())