Update definitions.py

definitions.py

@@ -192,37 +192,37 @@ class CodeMetricsAnalyzer:
         """Returns the history of metrics measurements"""
         return self.metrics_history
 
-def get_trend_analysis(self) -> Dict[str, Any]:
-    """Analyzes trends in metrics over time"""
-    if not self.metrics_history:
-        return {"status": "No metrics history available"}
-
-    trends = {
-        "quality_score": self._calculate_trend([m["quality_score"] for m in self.metrics_history]),
-        "coverage_score": self._calculate_trend([m["coverage_score"] for m in self.metrics_history]),
-        "security_score": self._calculate_trend([m["security_score"] for m in self.metrics_history])
-    }
-
-    return trends
-
-def _calculate_trend(self, values: List[float]) -> Dict[str, Any]:
-    """Calculates trend statistics for a metric"""
-    if not values:
-        return {"trend": "unknown", "change": 0.0}
-
-    recent_values = values[-3:]  # Look at last 3 measurements
-    if len(recent_values) < 2:
-        return {"trend": "insufficient data", "change": 0.0}
-
-    change = recent_values[-1] - recent_values[0]
-    trend = "improving" if change > 0 else "declining" if change < 0 else "stable"
-
-    return {
-        "trend": trend,
-        "change": change,
-        "current": recent_values[-1],
-        "previous": recent_values[0]
-    }
+    def get_trend_analysis(self) -> Dict[str, Any]:
+        """Analyzes trends in metrics over time"""
+        if not self.metrics_history:
+            return {"status": "No metrics history available"}
+
+        trends = {
+            "quality_score": self._calculate_trend([m["quality_score"] for m in self.metrics_history]),
+            "coverage_score": self._calculate_trend([m["coverage_score"] for m in self.metrics_history]),
+            "security_score": self._calculate_trend([m["security_score"] for m in self.metrics_history])
+        }
+
+        return trends
+
+    def _calculate_trend(self, values: List[float]) -> Dict[str, Any]:
+        """Calculates trend statistics for a metric"""
+        if not values:
+            return {"trend": "unknown", "change": 0.0}
+    
+        recent_values = values[-3:]  # Look at last 3 measurements
+        if len(recent_values) < 2:
+            return {"trend": "insufficient data", "change": 0.0}
+
+        change = recent_values[-1] - recent_values[0]
+        trend = "improving" if change > 0 else "declining" if change < 0 else "stable"
+
+        return {
+            "trend": trend,
+            "change": change,
+            "current": recent_values[-1],
+            "previous": recent_values[0]
+        }
 
 class WorkspaceManager:
     """Manages the workspace for the Autonomous Agent System."""
@@ -408,7 +408,47 @@ class AutonomousAgentApp:
             logging.error(f"Application error: {str(e)}")
             st.error("An error occurred while starting the application. Please check the logs.")
             raise
-            
+
+    class DevelopmentPipeline:
+        """Development pipeline for the autonomous agent system."""
+        
+        def __init__(self, workspace_manager, tool_manager):
+            self.workspace_manager = workspace_manager
+            self.tool_manager = tool_manager
+            self.pipeline_stages = {
+                self.PipelineStage.PLANNING: self._execute_planning_stage,
+                self.PipelineStage.DEVELOPMENT: self._execute_development_stage,
+                self.PipelineStage.TESTING: self._execute_testing_stage
+            }
+
+        class PipelineStage(Enum):
+            """Enum for pipeline stages."""
+            PLANNING = 1
+            DEVELOPMENT = 2
+            TESTING = 3
+
+        async def execute_stage(self, stage, input_data):
+            """Execute a pipeline stage."""
+            if stage in self.pipeline_stages:
+                return await self.pipeline_stages[stage](input_data)
+            else:
+                raise ValueError(f"Invalid pipeline stage: {stage}")
+
+        async def _execute_planning_stage(self, input_data):
+            """Execute the planning stage."""
+            # Planning stage logic here
+            pass
+
+        async def _execute_development_stage(self, input_data):
+            """Execute the development stage."""
+            # Development stage logic here
+            pass
+
+        async def _execute_testing_stage(self, input_data):
+            """Execute the testing stage."""
+            # Testing stage logic here
+            pass
+    
     @dataclass
     class QualityMetrics:
         """Advanced quality metrics tracking and analysis"""
@@ -746,6 +786,7 @@ class AutonomousAgentApp:
             st.write(f"Python Version: {sys.version}")
             st.write(f"Platform: {platform.platform()}")
             st.write(f"Available Memory: {psutil.virtual_memory().available / (1024**3):.1f} GB free")
+            
 if __name__ == "__main__":
     app = AutonomousAgentApp()  # Create an instance of the app
     app.run()  # Call the run method to start the application