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29cdc9d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | import logging
import os
from typing import Any, Dict
from src.senses.sigint_processor import SigIntProcessor
from src.brain.inference import InferenceEngine
from src.devcore.auto_developer import AutoDeveloper
from src.devcore.security_middleware import TokenValidator
logging.basicConfig(level=logging.INFO)
log = logging.getLogger("VitalisCore")
class VitalisCognitiveEngine:
def __init__(self, sensu=None, ratio=None, cor=None):
self.sensu = sensu or SigIntProcessor()
self.ratio = ratio or InferenceEngine()
self.cor = cor or AutoDeveloper()
self.auth = TokenValidator()
if not os.path.exists("logs"): os.makedirs("logs")
def _log_security_event(self, event: str):
with open("logs/security_audit.log", "a") as f:
f.write(f"{event}\n")
def _execute_plan(self, plan: Dict[str, Any]) -> Dict[str, Any]:
results = []
for step in plan.get("steps", []):
intent = step.get("intent")
target = step.get("module_name")
if intent == "remediate":
self.cor.deploy_feature(target, intent="remediate")
results.append({"status": "remediated", "module": target})
elif intent == "analyze_vulnerabilities":
self.cor.deploy_feature("security_scanner", intent="analyze")
results.append({"status": "analyzed", "module": "security_scanner"})
return results
def think_and_act(self, intent: str, token: str, **kwargs) -> Dict[str, Any]:
if not self.auth.validate_request(token):
self._log_security_event(f"UNAUTHORIZED_ATTEMPT: Intent={intent}, Token={token}")
return {"success": False, "error": "UNAUTHORIZED: Logged."}
plan = {"steps": [{"intent": intent, "module_name": kwargs.get("module_name", "unknown")}]}
results = self._execute_plan(plan)
return {"success": True, "results": results}
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