Create robotics_diagnostician.py

robotics_diagnostician.py

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+import logging
+from typing import Dict, Any
+from agentic_reliability_framework.runtime.agents.base import BaseAgent, AgentSpecialization
+from agentic_reliability_framework.core.models.event import ReliabilityEvent
+
+logger = logging.getLogger(__name__)
+
+class RoboticsDiagnostician(BaseAgent):
+    """Root cause analysis for robotic system failures."""
+    def __init__(self):
+        super().__init__(AgentSpecialization.DIAGNOSTICIAN)
+        # Define thresholds for each sensor
+        self.thresholds = {
+            'temperature': 40.0,
+            'vibration': 0.3,
+            'motor_current': 3.5,
+            'position_error': 0.05
+        }
+
+    async def analyze(self, event: ReliabilityEvent) -> Dict[str, Any]:
+        try:
+            # Extract metrics from event (assuming they are stored in custom fields)
+            temp = getattr(event, 'temperature', None)
+            vib = getattr(event, 'vibration', None)
+            curr = getattr(event, 'motor_current', None)
+            pos_err = getattr(event, 'position_error', None)
+
+            if temp is None:
+                return {'specialization': 'robotics', 'findings': {}, 'recommendations': []}
+
+            # Detect which thresholds are exceeded
+            flags = []
+            if temp > self.thresholds['temperature']:
+                flags.append('overheat')
+            if vib > self.thresholds['vibration']:
+                flags.append('excess_vibration')
+            if curr > self.thresholds['motor_current']:
+                flags.append('overcurrent')
+            if pos_err > self.thresholds['position_error']:
+                flags.append('position_drift')
+
+            # Determine root cause based on combination
+            causes = []
+            if 'overheat' in flags and 'overcurrent' in flags:
+                causes.append('motor_stall')
+            elif 'overheat' in flags:
+                causes.append('cooling_failure')
+            elif 'excess_vibration' in flags:
+                causes.append('bearing_wear')
+            elif 'position_drift' in flags:
+                causes.append('encoder_misalignment')
+            else:
+                causes.append('normal_operation')
+
+            return {
+                'specialization': 'robotics',
+                'confidence': 0.8 if flags else 0.0,
+                'findings': {
+                    'exceeded_thresholds': flags,
+                    'likely_root_causes': causes,
+                },
+                'recommendations': [
+                    f"Check {cause}" for cause in causes
+                ] if flags else []
+            }
+        except Exception as e:
+            logger.error(f"RoboticsDiagnostician error: {e}", exc_info=True)
+            return {'specialization': 'robotics', 'findings': {}, 'recommendations': []}