49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
"""Phase 23: Identity Health Auditor.
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Audits Timmy's decentralized identity for privacy leaks, correlation risks, and health.
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class IdentityAuditor:
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def __init__(self):
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self.adapter = GeminiAdapter()
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def audit_identity_health(self, did_inventory: List[Dict[str, Any]]) -> Dict[str, Any]:
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"""Performs a deep audit of Timmy's identity inventory."""
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logger.info("Performing deep identity health audit.")
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prompt = f"""
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DID Inventory:
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{json.dumps(did_inventory, indent=2)}
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Please perform a 'Deep Privacy Audit' of this identity inventory.
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Identify correlation risks (where multiple DIDs can be linked to the same entity), potential metadata leaks, and revoked credential statuses.
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Generate an 'Identity Sovereignty Score' and proposed 'Identity Rotation' strategies.
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Format the output as JSON:
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{{
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"sovereignty_score": "...",
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"audit_summary": "...",
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"correlation_risks": [...],
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"metadata_leaks": [...],
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"rotation_strategies": [...],
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"privacy_hardening_recommendations": "..."
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's Identity Auditor. Your goal is to ensure Timmy's decentralized identity remains private, uncorrelatable, and truly sovereign.",
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thinking=True,
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response_mime_type="application/json"
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)
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audit_data = json.loads(result["text"])
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return audit_data
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