"""Phase 23: Identity Health Auditor.

Audits Timmy's decentralized identity for privacy leaks, correlation risks, and health.
"""

import logging
import json
from typing import List, Dict, Any
from agent.gemini_adapter import GeminiAdapter

logger = logging.getLogger(__name__)

class IdentityAuditor:
    def __init__(self):
        self.adapter = GeminiAdapter()

    def audit_identity_health(self, did_inventory: List[Dict[str, Any]]) -> Dict[str, Any]:
        """Performs a deep audit of Timmy's identity inventory."""
        logger.info("Performing deep identity health audit.")
        
        prompt = f"""
DID Inventory:
{json.dumps(did_inventory, indent=2)}

Please perform a 'Deep Privacy Audit' of this identity inventory.
Identify correlation risks (where multiple DIDs can be linked to the same entity), potential metadata leaks, and revoked credential statuses.
Generate an 'Identity Sovereignty Score' and proposed 'Identity Rotation' strategies.

Format the output as JSON:
{{
  "sovereignty_score": "...",
  "audit_summary": "...",
  "correlation_risks": [...],
  "metadata_leaks": [...],
  "rotation_strategies": [...],
  "privacy_hardening_recommendations": "..."
}}
"""
        result = self.adapter.generate(
            model="gemini-3.1-pro-preview",
            prompt=prompt,
            system_instruction="You are Timmy's Identity Auditor. Your goal is to ensure Timmy's decentralized identity remains private, uncorrelatable, and truly sovereign.",
            thinking=True,
            response_mime_type="application/json"
        )
        
        audit_data = json.loads(result["text"])
        return audit_data