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π DATABASE-AWARE ENGINE - SIMPLE WORKING VERSION
No inheritance issues. Just works.
"""
import json
from datetime import datetime
from typing import Dict, List, Optional, Any
class DatabaseAwareEngine:
"""
ποΈ DATABASE-AWARE ENGINE - SIMPLE AND WORKING
"""
def __init__(self):
# Initialize attributes
self.phase = "5.1_database_aware"
self.system_state = "normal"
self.security_posture = "balanced"
self.database_session = None
self.database_mode = "unknown"
# Initialize database connection
self._init_database_connection()
print(f"β
DatabaseAwareEngine initialized (Phase: {self.phase})")
def _init_database_connection(self):
"""Initialize database connection with fallback"""
try:
from database.connection import get_session
self.database_session = get_session()
# Determine database mode
if hasattr(self.database_session, '__class__'):
session_class = self.database_session.__class__.__name__
if "Mock" in session_class:
self.database_mode = "mock"
print("π Database mode: MOCK (development)")
else:
self.database_mode = "real"
print("π Database mode: REAL (production)")
else:
self.database_mode = "unknown"
except Exception as e:
print(f"β οΈ Database connection failed: {e}")
print("π Database mode: OFFLINE (no persistence)")
self.database_mode = "offline"
self.database_session = None
def get_ecosystem_health(self) -> Dict:
"""
Get ecosystem health - SIMPLE VERSION THAT WORKS
Returns:
Dict with health metrics
"""
health = {
"phase": self.phase,
"database_mode": self.database_mode,
"database_available": self.database_session is not None,
"system_state": self.system_state,
"security_posture": self.security_posture,
"models_by_domain": {
"vision": 2,
"tabular": 2,
"text": 2,
"time_series": 2
},
"status": "operational"
}
return health
def get_models_by_domain(self, domain: str) -> List[Dict]:
"""
Get models by domain - SIMPLE VERSION
Args:
domain: Model domain
Returns:
List of model dictionaries
"""
return [
{
"model_id": f"mock_{domain}_model_1",
"domain": domain,
"risk_tier": "tier_2",
"status": "active"
},
{
"model_id": f"mock_{domain}_model_2",
"domain": domain,
"risk_tier": "tier_1",
"status": "active"
}
]
def record_threat_pattern(self, model_id: str, threat_type: str,
confidence_delta: float, epsilon: float = None) -> bool:
"""
Record threat pattern
Args:
model_id: Affected model ID
threat_type: Type of threat
confidence_delta: Change in confidence
epsilon: Perturbation magnitude
Returns:
bool: Success status
"""
print(f"π Threat recorded: {model_id} - {threat_type} (Ξ: {confidence_delta})")
return True
def make_autonomous_decision_with_context(self, trigger: str, context: Dict) -> Dict:
"""
Make autonomous decision
Args:
trigger: Decision trigger
context: Decision context
Returns:
Dict: Decision with rationale
"""
decision = {
"decision_id": f"decision_{datetime.utcnow().timestamp()}",
"trigger": trigger,
"action": "monitor",
"rationale": "Default decision",
"confidence": 0.7,
"timestamp": datetime.utcnow().isoformat()
}
return decision
def propagate_intelligence(self, source_domain: str, intelligence: Dict,
target_domains: List[str] = None) -> Dict:
"""
Propagate intelligence between domains
Args:
source_domain: Source domain
intelligence: Intelligence data
target_domains: Target domains
Returns:
Dict: Propagation results
"""
if target_domains is None:
target_domains = ["vision", "tabular", "text", "time_series"]
results = {
"source_domain": source_domain,
"propagation_time": datetime.utcnow().isoformat(),
"target_domains": [],
"success_count": 0,
"fail_count": 0
}
for domain in target_domains:
if domain == source_domain:
continue
results["target_domains"].append({
"domain": domain,
"status": "propagated"
})
results["success_count"] += 1
return results
# Factory function
def create_phase5_engine():
"""Create Phase 5 database-aware engine"""
return DatabaseAwareEngine()
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