robotics_diagnostician.py

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': []}