import hashlib
import logging
import time
import json
from typing import Dict, Any

from oasyce.models import EngineResult, AssetMetadata

_logger = logging.getLogger(__name__)


class TEEComputeEngine:
    """
    Mock for Layer 3: Trusted Execution Environment (TEE) + zk-PoE.
    Represents the secure hardware enclave where data and AI models meet.
    Data is decrypted in memory, computed upon, and instantly shredded (Memory Shredding).
    """

    @staticmethod
    def execute_blind_compute(asset: AssetMetadata, ai_prompt: str) -> EngineResult:
        _logger.info("[TEE Enclave] Securely loaded Asset: %s into memory.", asset.asset_id)
        _logger.info("[TEE Enclave] Loading AI compute logic: '%s'", ai_prompt)

        # Simulate heavy private computation
        time.sleep(1.5)

        # Mock result of computation
        compute_result = {
            "insight": f"Extracted critical knowledge from {asset.filename} regarding '{ai_prompt}'",
            "compute_time_ms": 1502,
        }

        # zk-PoE (Zero-Knowledge Proof of Execution) generation
        poe_payload = f"{asset.asset_id}:{ai_prompt}:{time.time()}".encode("utf-8")
        zk_proof = f"zkPoE_0x{hashlib.sha3_256(poe_payload).hexdigest()}"

        _logger.info(
            "[TEE Enclave] Computation finished. Initiating memory physical shredding for %s...",
            asset.asset_id,
        )

        return EngineResult(
            success=True,
            data={
                "result": compute_result,
                "zk_proof": zk_proof,
                "attestation": "Oasyce_Intel_SGX_Node_Verified",
            },
        )
