Bernt
aee0f09db8
- Datafabrik: Dockerfile fix, agentorkestrering fungerar - Vision: Identify-modell, FAISS, OCR alla testade - API: Alla 7 integrationstester passerade - Upplösare: Entitetsupplösning verifierad
78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""
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Reality State Engine
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Hanterar objektets livscykel
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"""
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from enum import Enum
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from datetime import datetime
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class RealityState(Enum):
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NORMAL = "normal"
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WATCH = "watch"
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WARNING = "warning"
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CRITICAL = "critical"
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VERIFICATION = "verification"
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RESOLVED = "resolved"
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class StateEngine:
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"""Hanterar state-övergångar"""
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def __init__(self):
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self.transitions = {
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RealityState.NORMAL: [RealityState.WATCH, RealityState.WARNING, RealityState.CRITICAL],
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RealityState.WATCH: [RealityState.NORMAL, RealityState.WARNING, RealityState.CRITICAL],
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RealityState.WARNING: [RealityState.NORMAL, RealityState.WATCH, RealityState.CRITICAL, RealityState.VERIFICATION],
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RealityState.CRITICAL: [RealityState.VERIFICATION, RealityState.WARNING],
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RealityState.VERIFICATION: [RealityState.RESOLVED, RealityState.CRITICAL],
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RealityState.RESOLVED: [RealityState.NORMAL]
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}
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def calculate_state(self, risks):
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"""Beräkna state baserat på risker"""
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if not risks:
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return RealityState.NORMAL
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severities = [r["severity"] for r in risks]
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if "critical" in severities:
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return RealityState.CRITICAL
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elif "high" in severities:
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return RealityState.WARNING
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elif "medium" in severities:
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return RealityState.WATCH
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return RealityState.NORMAL
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def can_transition(self, current_state, new_state):
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"""Kontrollera om övergång är tillåten"""
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return new_state in self.transitions.get(current_state, [])
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def transition(self, road_id, current_state, new_state, reason=""):
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"""Utför state-övergång"""
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if not self.can_transition(current_state, new_state):
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return None
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return {
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"road_id": road_id,
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"from_state": current_state.value,
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"to_state": new_state.value,
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"timestamp": datetime.now().isoformat(),
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"reason": reason
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}
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if __name__ == "__main__":
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engine = StateEngine()
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# Testa
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risks = [{"severity": "critical"}]
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state = engine.calculate_state(risks)
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print(f"State med critical risk: {state.value}")
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risks = [{"severity": "high"}]
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state = engine.calculate_state(risks)
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print(f"State med high risk: {state.value}")
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risks = []
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state = engine.calculate_state(risks)
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print(f"State utan risker: {state.value}")
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