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# resilience_module.py | |
import datetime | |
from logging_testing_module import log_event | |
class SystemResilienceManager: | |
"""Provides self-healing, optimization, and error recovery routines.""" | |
def __init__(self): | |
self.state = { | |
"last_health_check": None, | |
"hallucination_count": 0, | |
"auto_restarts": 0, | |
"failures": [] | |
} | |
def check_system_health(self, data: dict, temp_threshold=35): | |
self.state["last_health_check"] = datetime.datetime.utcnow().isoformat() | |
if data["weather"]["temperature"] > temp_threshold: | |
log_event("HEALTH_WARNING", {"temp": data["weather"]["temperature"]}) | |
return False | |
return True | |
def detect_hallucination(self, explanation: str) -> bool: | |
red_flags = ["unknown", "magic", "best guess", "hypothetical", "imaginary"] | |
if any(flag in explanation.lower() for flag in red_flags): | |
self.state["hallucination_count"] += 1 | |
log_event("HALLUCINATION_ALERT", {"explanation": explanation}) | |
return True | |
return False | |
def optimize_response(self, response: str) -> str: | |
optimized = response.strip().replace("\n", " ").replace(" ", " ") | |
log_event("RESPONSE_OPTIMIZED", {"original_length": len(response), "optimized_length": len(optimized)}) | |
return optimized | |
def attempt_self_healing(self, module_name: str): | |
self.state["auto_restarts"] += 1 | |
action = f"Restarted or reloaded module: {module_name}" | |
log_event("SELF_HEALING", {"module": module_name, "action": action}) | |
return action |