Delete robotics_diagnostician.py

robotics_diagnostician.py

@@ -1,106 +0,0 @@
-"""
-Root cause analysis for robotic system failures.
-Works with IoTEvent objects that contain temperature, vibration, motor_current, position_error.
-"""
-
-import logging
-from typing import Dict, Any, Optional
-from agentic_reliability_framework.runtime.agents.base import BaseAgent, AgentSpecialization
-from iot_event import IoTEvent  # Use the specific event type (though base ReliabilityEvent also works)
-
-logger = logging.getLogger(__name__)
-
-
-class RoboticsDiagnostician(BaseAgent):
-    """
-    Diagnoses robotic system failures by comparing sensor readings against thresholds.
-    Intended to be used with IoTEvent instances.
-    """
-
-    def __init__(self, thresholds: Optional[Dict[str, float]] = None):
-        """
-        Args:
-            thresholds: Optional dict overriding default sensor thresholds.
-                       Keys: temperature, vibration, motor_current, position_error.
-        """
-        super().__init__(AgentSpecialization.DIAGNOSTICIAN)
-        self.thresholds = thresholds or {
-            'temperature': 40.0,
-            'vibration': 0.3,
-            'motor_current': 3.5,
-            'position_error': 0.05
-        }
-
-    async def analyze(self, event: IoTEvent) -> Dict[str, Any]:
-        """
-        Analyze sensor readings and return diagnosis.
-
-        Args:
-            event: An IoTEvent containing sensor fields.
-
-        Returns:
-            Dictionary with keys:
-                - specialization: 'robotics'
-                - confidence: float (0‑1)
-                - findings: dict with 'exceeded_thresholds' and 'likely_root_causes'
-                - recommendations: list of strings
-        """
-        try:
-            # Extract metrics (safe even if event is base ReliabilityEvent without these 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:
-                # Event does not contain IoT fields – cannot diagnose
-                return {
-                    'specialization': 'robotics',
-                    'confidence': 0.0,
-                    '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',
-                'confidence': 0.0,
-                'findings': {},
-                'recommendations': []
-            }