Update definitions.py

definitions.py

@@ -376,8 +376,8 @@ if __name__ == "__main__":
             return {"status": "success", "result": {"coverage": 0.95}}
 
     class DevelopmentPipeline:
-        """Advanced development pipeline with stage management and monitoring"""
-
+        """Advanced development pipeline with stage management and monitoring."""
+    
         class PipelineStage(Enum):
             PLANNING = "planning"
             DEVELOPMENT = "development"
@@ -385,50 +385,45 @@ if __name__ == "__main__":
             DEPLOYMENT = "deployment"
             MAINTENANCE = "maintenance"
             ROLLBACK = "rollback"
-
+    
         def __init__(self, workspace_manager, tool_manager):
             self.workspace_manager = workspace_manager
             self.tool_manager = tool_manager
             self.current_stage = None
             self.stage_history = []
-            self.active_processes = {}
             self.stage_metrics = {}
             self.logger = self._setup_logger()
-
+    
         def _setup_logger(self) -> logging.Logger:
+            """Setup the pipeline logger."""
             logger = logging.getLogger("DevelopmentPipeline")
             logger.setLevel(logging.DEBUG)
             handler = logging.StreamHandler()
-            formatter = logging.Formatter(
-                '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
-            )
+            formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
             handler.setFormatter(formatter)
             logger.addHandler(handler)
             return logger
-
+    
         async def execute_stage(self, stage: PipelineStage, context: Dict[str, Any]) -> Dict[str, Any]:
-            """Execute a pipeline stage with monitoring and error handling"""
+            """Execute a pipeline stage with monitoring and error handling."""
             self.logger.info(f"Starting stage: {stage.value}")
             start_time = time.time()
-
+    
             try:
-                # Record stage start
                 self.current_stage = stage
-                self._record_stage_start(stage, context)
-
+                self.stage_history.append(stage)
+    
                 # Execute stage-specific logic
                 result = await self._execute_stage_logic(stage, context)
-
-                # Validate stage output
+    
+                # Validate the stage output
                 self._validate_stage_output(stage, result)
-
-                # Update metrics
+    
+                # Record stage metrics
                 execution_time = time.time() - start_time
-                self._update_stage_metrics(stage, execution_time, result)
-
-                # Record stage completion
-                self._record_stage_completion(stage, result)
-
+                self._record_stage_metrics(stage, execution_time, result)
+    
+                self.logger.info(f"Stage {stage.value} completed successfully.")
                 return {
                     "status": "success",
                     "stage": stage.value,
@@ -436,24 +431,18 @@ if __name__ == "__main__":
                     "execution_time": execution_time,
                     "metrics": self.stage_metrics.get(stage, {})
                 }
-
             except Exception as e:
-                error_msg = f"Error in stage {stage.value}: {str(e)}"
-                self.logger.error(error_msg)
-
-                # Handle stage failure
+                self.logger.error(f"Error in stage {stage.value}: {str(e)}")
                 await self._handle_stage_failure(stage, context, e)
-
                 return {
                     "status": "error",
                     "stage": stage.value,
-                    "error": error_msg,
+                    "error": str(e),
                     "execution_time": time.time() - start_time
                 }
-
+    
         async def _execute_stage_logic(self, stage: PipelineStage, context: Dict[str, Any]) -> Dict[str, Any]:
-            """Execute stage-specific logic with appropriate tools and enhanced error handling."""
-            """Execute stage-specific logic with appropriate tools"""
+            """Execute stage-specific logic."""
             if stage == self.PipelineStage.PLANNING:
                 return await self._execute_planning_stage(context)
             elif stage == self.PipelineStage.DEVELOPMENT:
@@ -468,124 +457,79 @@ if __name__ == "__main__":
                 return await self._execute_rollback_stage(context)
             else:
                 raise ValueError(f"Unknown pipeline stage: {stage}")
-
+    
         async def _execute_planning_stage(self, context: Dict[str, Any]) -> Dict[str, Any]:
-            """Execute planning stage with requirement analysis and task breakdown"""
-            try:
-                # Analyze requirements
-                requirements = await self.tool_manager.execute_tool(
-                    "requirements_analyzer",
-                    context.get("requirements", "")
-                )
-
-                # Generate task breakdown
-                tasks = await self.tool_manager.execute_tool(
-                    "task_breakdown",
-                    requirements["result"]
-                )
-
-                # Create project structure
-                project_structure = await self.workspace_manager.create_project_structure(
-                    context["project_name"],
-                    tasks["result"]
-                )
-
-                return {
-                    "requirements": requirements["result"],
-                    "tasks": tasks["result"],
-                    "project_structure": project_structure
-                }
-            except Exception as e:
-                raise Exception(f"Planning stage failed: {str(e)}")
+            """Execute planning stage with requirement analysis and task breakdown."""
+            self.logger.info("Planning stage: Analyzing requirements and generating tasks...")
+            requirements = await self.tool_manager.execute_tool("requirements_analyzer", context.get("requirements", ""))
+            tasks = await self.tool_manager.execute_tool("task_breakdown", requirements["result"])
+            project_structure = self.workspace_manager.create_project_structure(
+                context.get("project_name", "default_project"), tasks["result"]
+            )
+            return {"requirements": requirements["result"], "tasks": tasks["result"], "project_structure": project_structure}
 
         async def _execute_development_stage(self, context: Dict[str, Any]) -> Dict[str, Any]:
-            """Execute development stage with code generation and quality checks"""
-            try:
-                # Generate code
-                code_generation = await self.tool_manager.execute_tool(
-                    "code_generator",
-                    context.get("tasks", [])
-                )
-
-                # Run initial quality checks
-                quality_check = await self.tool_manager.execute_tool(
-                    "code_quality_checker",
-                    code_generation["result"]
-                )
-
-                # Save generated code
-                saved_files = await self.workspace_manager.save_generated_code(
-                    context["project_name"],
-                    code_generation["result"]
-                )
-
-                return {
-                    "generated_code": code_generation["result"],
-                    "quality_check": quality_check["result"],
-                    "saved_files": saved_files
-                }
-            except Exception as e:
-                raise Exception(f"Development stage failed: {str(e)}")
+            """Execute development stage with code generation and quality checks."""
+            self.logger.info("Development stage: Generating code and performing quality checks...")
+            code_generation = await self.tool_manager.execute_tool("code_generator", context.get("tasks", []))
+            quality_check = await self.tool_manager.execute_tool("code_quality_checker", code_generation["result"])
+            saved_files = self.workspace_manager.save_generated_code(
+                context.get("project_name", "default_project"), code_generation["result"]
+            )
+            return {"generated_code": code_generation["result"], "quality_check": quality_check["result"], "saved_files": saved_files}
 
         async def _execute_testing_stage(self, context: Dict[str, Any]) -> Dict[str, Any]:
-            """Execute testing stage with comprehensive test suite"""
-            try:
-                # Generate tests
-                test_generation = await self.tool_manager.execute_tool(
-                    "test_generator", context.get("generated_code", "")
-                )
-
-                # Run tests
-                test_results = await self.tool_manager.execute_tool(
-                    "test_runner", test_generation["result"]
-                )
-
-                # Generate coverage report
-                coverage_report = await self.tool_manager.execute_tool(
-                    "coverage_analyzer", test_results["result"]
-                )
-
-                return {
-                    "test_cases": test_generation["result"],
-                    "test_results": test_results["result"],
-                    "coverage_report": coverage_report["result"]
-                }
-            except Exception as e:
-                raise Exception(f"Testing stage failed: {str(e)}")
-                
+            """Execute testing stage with comprehensive test suite."""
+            self.logger.info("Testing stage: Generating and running tests...")
+            test_generation = await self.tool_manager.execute_tool("test_generator", context.get("generated_code", ""))
+            test_results = await self.tool_manager.execute_tool("test_runner", test_generation["result"])
+            coverage_report = await self.tool_manager.execute_tool("coverage_analyzer", test_results["result"])
+            return {"test_cases": test_generation["result"], "test_results": test_results["result"], "coverage_report": coverage_report["result"]}
+    
+        async def _execute_deployment_stage(self, context: Dict[str, Any]) -> Dict[str, Any]:
+            """Execute deployment stage by deploying the application."""
+            self.logger.info("Deployment stage: Deploying the application...")
+            deployment_result = await self.tool_manager.execute_tool("deployment_tool", context.get("deployment_package", ""))
+            return {"deployment_result": deployment_result}
+    
+        async def _execute_maintenance_stage(self, context: Dict[str, Any]) -> Dict[str, Any]:
+            """Execute maintenance stage for updates and monitoring."""
+            self.logger.info("Maintenance stage: Performing system updates and monitoring...")
+            monitoring_result = await self.tool_manager.execute_tool("monitoring_tool", context.get("system_status", ""))
+            return {"monitoring_result": monitoring_result}
+    
+        async def _execute_rollback_stage(self, context: Dict[str, Any]) -> Dict[str, Any]:
+            """Execute rollback stage to revert changes."""
+            self.logger.info("Rollback stage: Reverting changes...")
+            rollback_result = await self.tool_manager.execute_tool("rollback_tool", context.get("rollback_point", ""))
+            return {"rollback_result": rollback_result}
+    
         def _validate_stage_output(self, stage: PipelineStage, result: Dict[str, Any]):
-            """Validate stage output against defined criteria"""
-            validation_rules = self._get_validation_rules(stage)
-            validation_errors = []
-
-            for rule in validation_rules:
-                if not rule.validate(result):
-                    validation_errors.append(rule.get_error_message())
-
-            if validation_errors:
-                raise ValueError(f"Stage validation failed: {'; '.join(validation_errors)}")
-
-        def _update_stage_metrics(self, stage: PipelineStage, execution_time: float, result: Dict[str, Any]):
-            """Update metrics for the stage"""
+            """Validate the output of a stage."""
+            if not result or "status" in result and result["status"] != "success":
+                raise ValueError(f"Stage {stage.value} failed validation with result: {result}")
+    
+        def _record_stage_metrics(self, stage: PipelineStage, execution_time: float, result: Dict[str, Any]):
+            """Record metrics for a stage."""
             if stage not in self.stage_metrics:
                 self.stage_metrics[stage] = {
                     "total_executions": 0,
                     "successful_executions": 0,
                     "failed_executions": 0,
                     "average_execution_time": 0,
-                    "last_execution_time": None,
-                    "error_rate": 0
+                    "last_execution_time": 0,
+                    "error_rate": 0.0
                 }
-
+    
             metrics = self.stage_metrics[stage]
             metrics["total_executions"] += 1
             metrics["last_execution_time"] = execution_time
-
+    
             if result.get("status") == "success":
                 metrics["successful_executions"] += 1
             else:
                 metrics["failed_executions"] += 1
-
+    
             metrics["error_rate"] = metrics["failed_executions"] / metrics["total_executions"]
             metrics["average_execution_time"] = (
                 (metrics["average_execution_time"] * (metrics["total_executions"] - 1) + execution_time)
@@ -593,56 +537,11 @@ if __name__ == "__main__":
             )
 
         async def _handle_stage_failure(self, stage: PipelineStage, context: Dict[str, Any], error: Exception):
-            """Handle stage failure with rollback and recovery options"""
-            self.logger.error(f"Handling failure in stage {stage.value}: {str(error)}")
-
-            # Record failure
-            self._record_stage_failure(stage, error)
-
-            # Determine if rollback is needed
-            if self._should_rollback(stage, error):
-                await self._execute_rollback(stage, context)
-
-            # Attempt recovery
-            await self._attempt_recovery(stage, context, error)
-
-        def _should_rollback(self, stage: PipelineStage, error: Exception) -> bool:
-            """Determine if a rollback is needed based on error severity"""
-            critical_errors = [
-                "DatabaseError",
-                "DeploymentError",
-                "SecurityViolation"
-            ]
-            return any(err in str(error) for err in critical_errors)
-
-        async def _execute_rollback(self, stage: PipelineStage, context: Dict[str, Any]):
-            """Execute rollback procedure for a failed stage"""
-            self.logger.info(f"Executing rollback for stage {stage.value}")
-
-            try:
-                # Get rollback point
-                rollback_point = self._get_rollback_point(stage)
-
-                # Execute rollback
-                await self.execute_stage(
-                    self.PipelineStage.ROLLBACK,
-                    {
-                        **context,
-                        "rollback_point": rollback_point,
-                        "failed_stage": stage
-                    }
-                )
-
-            except Exception as e:
-                self.logger.error(f"Rollback failed: {str(e)}")
-                # Implement emergency shutdown if rollback fails
-                self._emergency_shutdown(stage, e)
-
-        def _emergency_shutdown(self, stage: PipelineStage, error: Exception):
-            """Handle emergency shutdown when rollback fails"""
-            self.logger.critical(f"Emergency shutdown initiated for stage {stage.value}")
-            # Implement emergency shutdown procedures
-            pass
+            """Handle a failure during a pipeline stage."""
+            self.logger.error(f"Handling failure for stage {stage.value}: {str(error)}")
+            if stage == self.PipelineStage.TESTING or stage == self.PipelineStage.DEPLOYMENT:
+                self.logger.info("Initiating rollback process...")
+                await self._execute_rollback_stage(context)
 
     class CodeMetricsAnalyzer:
         """Analyzes code metrics using various tools"""