# VOLTS minting formula
# Based on Interface Taxonomy multiplier table

TAXONOMY_MULTIPLIERS = {
    0: 1.0,      # Recall         — basic reproduction
    1: 1.5,      # Understand     — contextual grasp
    2: 3.0,      # Apply          — novel execution
    3: 7.5,      # Analyze        — pattern recognition
    4: 18.0,     # Evaluate       — expert judgment
    5: 47.0,     # Synthesize     — domain innovation
    6: 127.0,    # Create         — paradigm contribution
    7: 420.0,    # Transform      — civilization-level shift
}

BASE_VOLTS = 1000  # per scoring session

def compute_volts(taxonomy_level: int, transformation_score: float,
                  biomarker_bonus: float, session_quality: float) -> int:
    multiplier   = TAXONOMY_MULTIPLIERS[taxonomy_level]
    raw_volts    = BASE_VOLTS * multiplier
    adjusted     = raw_volts * transformation_score  # 0–1.0 precision
    bio_adjusted = adjusted * (1 + biomarker_bonus)  # ERP quality bonus
    final        = bio_adjusted * session_quality     # session validity
    return round(final)

# Feature engineering from ERP/BCI + session metadata

def extract_features(eeg_epoch, session_meta):
    return {
        # ERP biomarkers
        "p300_amplitude_uv":    compute_p300(eeg_epoch),       # 0–30 µV
        "n1_latency_ms":        compute_n1_latency(eeg_epoch), # 80–150 ms
        "alpha_synchrony":      compute_alpha_sync(eeg_epoch), # 0–1.0
        "theta_frontal_power":  compute_theta(eeg_epoch),      # 0–1.0
        "reaction_time_ms":     session_meta["reaction_ms"],

        # Session metadata
        "revision_count":       session_meta["revisions"],
        "collaboration_nodes":  session_meta["collaborators"],
        "creation_duration_h":  session_meta["duration_ms"] / 3_600_000,
        "artifact_complexity":  session_meta["artifact_complexity_score"],

        # Derived
        "novelty_index":        compute_novelty(session_meta["artifact_hash"]),
    }

# Map features → taxonomy level (0–7)
# Model: sklearn GradientBoostingClassifier
# Training: n=50 expert-labelled sessions (human adjudication)
# Evaluation target: Cohen's kappa > 0.7, ROC-AUC > 0.85

# Attestation generation — signed JSON envelope

import json, hmac, hashlib, time

def create_attestation(scoring_result: dict, creator_id: str, artifact_ipfs: str) -> dict:
    payload = {
        "event_id":        scoring_result["event_id"],
        "creator_id":      creator_id,
        "taxonomy_level":  scoring_result["taxonomy_level"],
        "transformation":  scoring_result["transformation_score"],
        "volts_final":     scoring_result["volts_final"],
        "ipfs_cid":        artifact_ipfs,
        "model_version":   "taxonomy-v2.1.0",
        "timestamp":       int(time.time()),
        "audit_hash":      scoring_result["audit_hash"],
    }
    # Sign with server key (HSM in production)
    sig = hmac.new(SERVER_KEY, json.dumps(payload).encode(), hashlib.sha256).hexdigest()

    return {
        "payload":         payload,
        "signature":       sig,
        "zk_proof":        None,   # populated post ZK-circuit integration
        "mint_envelope": {
            "contract":    SOVEREIGN_CONTRACT_ADDR,
            "chain_id":    324,    # zkSync Era
            "calldata":    build_mint_calldata(payload, sig),
        }
    }

# FastAPI — Scoring + Attestation Service
# /score, /attest, /mint-request, /ledger

from fastapi import FastAPI, Depends, HTTPException
from pydantic import BaseModel

app = FastAPI(title="VOLTS Scoring Engine", version="1.0.0")

class ScoreRequest(BaseModel):
    session_id:   str
    eeg_data_url: str       # signed URL to EEG epoch (S3/IPFS)
    artifact_hash: str      # SHA-256 of produced artifact
    creator_id:   str
    session_meta: dict

class AttestRequest(BaseModel):
    score_id:     str
    creator_wallet: str
    artifact_ipfs:  str
    zk_proof:     bool = False

@app.post("/score")
async def score_session(req: ScoreRequest):
    eeg = await fetch_eeg(req.eeg_data_url)
    features = extract_features(eeg, req.session_meta)
    result = taxonomy_model.predict(features)
    volts = compute_volts(result.level, result.transform_score,
                          result.biomarker_bonus, result.session_quality)
    record = await db.scores.insert({**result, "volts": volts})
    return {"score_id": record.id, **result, "volts_final": volts}

@app.post("/attest")
async def create_attestation(req: AttestRequest):
    score = await db.scores.get(req.score_id)
    attestation = sign_attestation(score, req.creator_wallet, req.artifact_ipfs)
    if req.zk_proof:
        attestation["zk_proof"] = await generate_zk_proof(attestation)
    record = await db.attestations.insert(attestation)
    return {"attestation_id": record.id, **attestation}

@app.post("/mint-request")
async def submit_mint(attestation_id: str, creator_wallet: str):
    attest = await db.attestations.get(attestation_id)
    # Submit to smart contract via relayer (meta-tx for gasless UX)
    tx = await relayer.submit(attest["mint_envelope"])
    return {"tx_hash": tx.hash, "status": "submitted", "chain_id": 324}

@app.get("/ledger/{creator_id}")
async def get_ledger(creator_id: str):
    sessions = await db.scores.filter(creator_id=creator_id)
    total_volts = sum(s["volts_final"] for s in sessions)
    return {"creator_id": creator_id, "sessions": sessions,
            "total_volts": total_volts, "tier": compute_tier(total_volts)}

// SPDX-License-Identifier: MIT
// VOLTSMintGateway.sol — Gated minting via server attestation
pragma solidity ^0.8.20;

import "@openzeppelin/contracts/token/ERC1155/ERC1155.sol";
import "@openzeppelin/contracts/access/Ownable.sol";
import "@openzeppelin/contracts/utils/cryptography/ECDSA.sol";

contract VOLTSMintGateway is ERC1155, Ownable {
    using ECDSA for bytes32;

    address public signerAddress;   // Server signing key
    bool    public mintPaused = true; // Gated by default (POC safety)

    mapping(bytes32 => bool) public usedAttestations;

    uint256 public constant VOLTS_TOKEN_ID = 1;

    event VOLTSMinted(address indexed creator, uint256 amount,
                      uint8 taxonomyLevel, bytes32 attestationHash);

    constructor(address _signer) ERC1155("") {
        signerAddress = _signer;
    }

    function mintVOLTS(
        address    to,
        uint256    amount,
        uint8      taxonomyLevel,
        bytes32    attestationHash,
        bytes calldata signature
    ) external {
        require(!mintPaused, "Mint paused — awaiting DAO vote");
        require(!usedAttestations[attestationHash], "Attestation already used");

        // Verify server signature
        bytes32 digest = keccak256(abi.encodePacked(
            to, amount, taxonomyLevel, attestationHash
        )).toEthSignedMessageHash();
        require(digest.recover(signature) == signerAddress, "Invalid attestation");

        usedAttestations[attestationHash] = true;
        _mint(to, VOLTS_TOKEN_ID, amount, "");

        emit VOLTSMinted(to, amount, taxonomyLevel, attestationHash);
    }

    function unpauseMint() external onlyOwner { mintPaused = false; }
    function pauseMint()   external onlyOwner { mintPaused = true; }
    function setSigner(address s) external onlyOwner { signerAddress = s; }
}

VOLTS POC — 6-Week Sprint Plan

━━ WEEK 1: Data Foundation ━━
□ Define ERP feature set (P300, N1, alpha synchrony, theta)
□ Set up EEG data collection pipeline (BrainBit SDK integration)
□ Create session metadata schema + consent templates
□ Stand up Postgres schema: sessions, scores, attestations, ledger
□ Deliverable: n=5 pilot sessions captured + consent collected

━━ WEEK 2: Scoring Engine v0 ━━
□ Implement feature extraction (scipy signal processing)
□ Train baseline taxonomy classifier (sklearn, n=20 labelled)
□ Human adjudication layer: 2 expert raters, Cohen's kappa baseline
□ Evaluation report: ROC-AUC, accuracy, confusion matrix
□ Deliverable: Reproducible scoring model + evaluation notebook

━━ WEEK 3: Attestation API ━━
□ FastAPI service: /score, /attest endpoints
□ Server-side signing (HMAC-SHA256, HSM roadmap planned)
□ Audit hash generation (SHA-256 of feature vector + model version)
□ IPFS upload for artifact hashes (Pinata or nft.storage)
□ Deliverable: Working API, 20 signed attestations for pilot sessions

━━ WEEK 4: Operator Dashboard ━━
□ Session feed: taxonomy level + VOLTS computed + attestation status
□ Creator ledger: total VOLTS, tier badge, history
□ Admin view: human adjudication queue, model performance
□ Deliverable: Live dashboard connected to scoring API

━━ WEEK 5: Testnet Smart Contract ━━
□ Deploy VOLTSMintGateway.sol to zkSync Era testnet
□ Gasless meta-transaction relayer (OpenGSN or Biconomy)
□ End-to-end: session → score → attest → mint (testnet)
□ Mint paused by multisig (safety for POC)
□ Deliverable: Demonstrable mint flow on testnet

━━ WEEK 6: POC Report + Investor Package ━━
□ Short whitepaper appendix: measurement methodology
□ Reproducibility report: cross-session validation
□ Security audit plan + budget estimate
□ Investor demo recording (30 minutes)
□ Deliverable: Full POC package — demo, report, API docs, contract