bft-crdt-experiment/examples/oracle_consumer.sol

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.19;

/**
 * @title OracleConsumer
 * @notice Example smart contracts showing how to consume data from the BFT-CRDT oracle network
 * @dev This demonstrates various aggregation strategies and use cases
 */

interface IOracleNetwork {
    struct PriceData {
        uint128 price;
        uint8 confidence;
        address oracle;
        uint256 timestamp;
        bytes32 sourceHash;
    }

    function getPrices(
        string calldata assetPair,
        uint256 startTime,
        uint256 endTime
    ) external view returns (PriceData[] memory);

    function getOracleReputation(address oracle) external view returns (
        uint256 qualityScore,
        uint256 totalAttestations,
        uint256 anomalyReports
    );
}

/**
 * @title PriceAggregator
 * @notice Advanced price aggregation with multiple strategies
 */
contract PriceAggregator {
    IOracleNetwork public immutable oracleNetwork;

    uint256 public constant MIN_SOURCES = 3;
    uint256 public constant OUTLIER_THRESHOLD = 500; // 5%
    uint256 public constant CONFIDENCE_THRESHOLD = 80;

    struct AggregatedPrice {
        uint128 price;
        uint8 confidence;
        uint256 numSources;
        uint256 timestamp;
    }

    mapping(string => AggregatedPrice) public latestPrices;

    event PriceUpdated(
        string indexed assetPair,
        uint128 price,
        uint8 confidence,
        uint256 sources
    );

    constructor(address _oracleNetwork) {
        oracleNetwork = IOracleNetwork(_oracleNetwork);
    }

    /**
     * @notice Get aggregated price using weighted median
     * @param assetPair The asset pair (e.g., "ETH/USD")
     * @param maxAge Maximum age of price data in seconds
     */
    function getPrice(
        string calldata assetPair,
        uint256 maxAge
    ) external view returns (uint128 price, uint8 confidence) {
        require(maxAge > 0, "Invalid max age");

        // Get all prices from oracle network
        IOracleNetwork.PriceData[] memory prices = oracleNetwork.getPrices(
            assetPair,
            block.timestamp - maxAge,
            block.timestamp
        );

        require(prices.length >= MIN_SOURCES, "Insufficient price sources");

        // Calculate weighted median
        AggregatedPrice memory aggregated = _calculateWeightedMedian(prices);

        return (aggregated.price, aggregated.confidence);
    }

    /**
     * @notice Calculate Time-Weighted Average Price (TWAP)
     * @param assetPair The asset pair
     * @param duration Time window in seconds
     */
    function getTWAP(
        string calldata assetPair,
        uint256 duration
    ) external view returns (uint128) {
        IOracleNetwork.PriceData[] memory prices = oracleNetwork.getPrices(
            assetPair,
            block.timestamp - duration,
            block.timestamp
        );

        require(prices.length > 0, "No price data available");

        uint256 weightedSum = 0;
        uint256 totalWeight = 0;

        for (uint i = 0; i < prices.length; i++) {
            // Weight by time and confidence
            uint256 timeWeight = duration - (block.timestamp - prices[i].timestamp);
            uint256 confWeight = prices[i].confidence;
            uint256 weight = timeWeight * confWeight / 100;

            weightedSum += prices[i].price * weight;
            totalWeight += weight;
        }

        return uint128(weightedSum / totalWeight);
    }

    /**
     * @notice Get volatility-adjusted price
     * @dev Uses standard deviation to adjust confidence
     */
    function getVolatilityAdjustedPrice(
        string calldata assetPair,
        uint256 maxAge
    ) external view returns (
        uint128 price,
        uint8 confidence,
        uint128 standardDeviation
    ) {
        IOracleNetwork.PriceData[] memory prices = oracleNetwork.getPrices(
            assetPair,
            block.timestamp - maxAge,
            block.timestamp
        );

        require(prices.length >= MIN_SOURCES, "Insufficient sources");

        // Remove outliers first
        uint128[] memory filteredPrices = _removeOutliers(prices);

        // Calculate mean
        uint256 sum = 0;
        for (uint i = 0; i < filteredPrices.length; i++) {
            sum += filteredPrices[i];
        }
        uint128 mean = uint128(sum / filteredPrices.length);

        // Calculate standard deviation
        uint256 variance = 0;
        for (uint i = 0; i < filteredPrices.length; i++) {
            int256 diff = int256(uint256(filteredPrices[i])) - int256(uint256(mean));
            variance += uint256(diff * diff);
        }
        variance = variance / filteredPrices.length;
        standardDeviation = uint128(_sqrt(variance));

        // Adjust confidence based on volatility
        uint256 volatilityRatio = (standardDeviation * 10000) / mean;
        if (volatilityRatio < 100) { // < 1%
            confidence = 99;
        } else if (volatilityRatio < 500) { // < 5%
            confidence = 90;
        } else if (volatilityRatio < 1000) { // < 10%
            confidence = 70;
        } else {
            confidence = 50;
        }

        return (mean, confidence, standardDeviation);
    }

    /**
     * @notice Update stored price if newer data is available
     */
    function updatePrice(string calldata assetPair) external {
        AggregatedPrice memory current = latestPrices[assetPair];

        IOracleNetwork.PriceData[] memory prices = oracleNetwork.getPrices(
            assetPair,
            current.timestamp,
            block.timestamp
        );

        if (prices.length >= MIN_SOURCES) {
            AggregatedPrice memory newPrice = _calculateWeightedMedian(prices);
            latestPrices[assetPair] = newPrice;

            emit PriceUpdated(
                assetPair,
                newPrice.price,
                newPrice.confidence,
                newPrice.numSources
            );
        }
    }

    function _calculateWeightedMedian(
        IOracleNetwork.PriceData[] memory prices
    ) private view returns (AggregatedPrice memory) {
        // Sort prices and calculate weights
        uint256 length = prices.length;
        uint128[] memory sortedPrices = new uint128[](length);
        uint256[] memory weights = new uint256[](length);

        for (uint i = 0; i < length; i++) {
            sortedPrices[i] = prices[i].price;

            // Calculate weight based on oracle reputation and confidence
            (uint256 qualityScore,,) = oracleNetwork.getOracleReputation(prices[i].oracle);
            weights[i] = prices[i].confidence * qualityScore / 100;
        }

        // Bubble sort (gas inefficient but simple for example)
        for (uint i = 0; i < length - 1; i++) {
            for (uint j = 0; j < length - i - 1; j++) {
                if (sortedPrices[j] > sortedPrices[j + 1]) {
                    // Swap prices
                    uint128 tempPrice = sortedPrices[j];
                    sortedPrices[j] = sortedPrices[j + 1];
                    sortedPrices[j + 1] = tempPrice;
                    // Swap weights
                    uint256 tempWeight = weights[j];
                    weights[j] = weights[j + 1];
                    weights[j + 1] = tempWeight;
                }
            }
        }

        // Find weighted median
        uint256 totalWeight = 0;
        for (uint i = 0; i < length; i++) {
            totalWeight += weights[i];
        }

        uint256 targetWeight = totalWeight / 2;
        uint256 cumulativeWeight = 0;
        uint128 medianPrice = sortedPrices[length / 2]; // fallback

        for (uint i = 0; i < length; i++) {
            cumulativeWeight += weights[i];
            if (cumulativeWeight >= targetWeight) {
                medianPrice = sortedPrices[i];
                break;
            }
        }

        // Calculate confidence
        uint8 avgConfidence = 0;
        for (uint i = 0; i < length; i++) {
            avgConfidence += prices[i].confidence;
        }
        avgConfidence = avgConfidence / uint8(length);

        return AggregatedPrice({
            price: medianPrice,
            confidence: avgConfidence,
            numSources: length,
            timestamp: block.timestamp
        });
    }

    function _removeOutliers(
        IOracleNetwork.PriceData[] memory prices
    ) private pure returns (uint128[] memory) {
        if (prices.length < 4) {
            // Not enough data for outlier detection
            uint128[] memory result = new uint128[](prices.length);
            for (uint i = 0; i < prices.length; i++) {
                result[i] = prices[i].price;
            }
            return result;
        }

        // Calculate mean
        uint256 sum = 0;
        for (uint i = 0; i < prices.length; i++) {
            sum += prices[i].price;
        }
        uint256 mean = sum / prices.length;

        // Count non-outliers
        uint256 validCount = 0;
        for (uint i = 0; i < prices.length; i++) {
            uint256 deviation = prices[i].price > mean
                ? prices[i].price - mean
                : mean - prices[i].price;
            uint256 percentDeviation = (deviation * 10000) / mean;

            if (percentDeviation <= OUTLIER_THRESHOLD) {
                validCount++;
            }
        }

        // Create filtered array
        uint128[] memory filtered = new uint128[](validCount);
        uint256 index = 0;

        for (uint i = 0; i < prices.length; i++) {
            uint256 deviation = prices[i].price > mean
                ? prices[i].price - mean
                : mean - prices[i].price;
            uint256 percentDeviation = (deviation * 10000) / mean;

            if (percentDeviation <= OUTLIER_THRESHOLD) {
                filtered[index++] = prices[i].price;
            }
        }

        return filtered;
    }

    function _sqrt(uint256 x) private pure returns (uint256) {
        if (x == 0) return 0;
        uint256 z = (x + 1) / 2;
        uint256 y = x;
        while (z < y) {
            y = z;
            z = (x / z + z) / 2;
        }
        return y;
    }
}

/**
 * @title DeFiLendingProtocol
 * @notice Example lending protocol using BFT-CRDT oracle
 */
contract DeFiLendingProtocol {
    PriceAggregator public immutable priceAggregator;

    uint256 public constant COLLATERAL_FACTOR = 8000; // 80%
    uint256 public constant LIQUIDATION_THRESHOLD = 8500; // 85%
    uint256 public constant PRICE_STALENESS = 300; // 5 minutes

    mapping(address => mapping(string => uint256)) public deposits;
    mapping(address => mapping(string => uint256)) public borrows;

    constructor(address _priceAggregator) {
        priceAggregator = PriceAggregator(_priceAggregator);
    }

    /**
     * @notice Calculate USD value using oracle prices
     */
    function getCollateralValueUSD(
        address user,
        string calldata asset
    ) public view returns (uint256) {
        uint256 amount = deposits[user][asset];
        if (amount == 0) return 0;

        (uint128 price, uint8 confidence) = priceAggregator.getPrice(
            string(abi.encodePacked(asset, "/USD")),
            PRICE_STALENESS
        );

        require(confidence >= 80, "Price confidence too low");

        // Apply conservative estimate for collateral
        return (amount * price * COLLATERAL_FACTOR) / 10000 / 1e6;
    }

    /**
     * @notice Check if a position is healthy
     */
    function isPositionHealthy(address user) public view returns (bool) {
        uint256 totalCollateralUSD = 0;
        uint256 totalBorrowUSD = 0;

        // In real implementation, would iterate through all assets
        totalCollateralUSD += getCollateralValueUSD(user, "ETH");
        totalCollateralUSD += getCollateralValueUSD(user, "BTC");

        // Calculate total borrows in USD
        uint256 usdcBorrow = borrows[user]["USDC"];
        totalBorrowUSD += usdcBorrow; // USDC is 1:1 with USD

        if (totalBorrowUSD == 0) return true;

        uint256 healthFactor = (totalCollateralUSD * 10000) / totalBorrowUSD;
        return healthFactor >= LIQUIDATION_THRESHOLD;
    }
}

/**
 * @title OptionsProtocol
 * @notice Example options protocol using oracle for settlement
 */
contract OptionsProtocol {
    PriceAggregator public immutable priceAggregator;

    struct Option {
        string assetPair;
        uint128 strikePrice;
        uint256 expiry;
        bool isCall;
        bool isSettled;
        uint128 settlementPrice;
    }

    mapping(uint256 => Option) public options;
    uint256 public nextOptionId;

    constructor(address _priceAggregator) {
        priceAggregator = PriceAggregator(_priceAggregator);
    }

    /**
     * @notice Settle an option at expiry using TWAP
     */
    function settleOption(uint256 optionId) external {
        Option storage option = options[optionId];
        require(!option.isSettled, "Already settled");
        require(block.timestamp >= option.expiry, "Not expired");

        // Use 1-hour TWAP around expiry for fair settlement
        uint128 settlementPrice = priceAggregator.getTWAP(
            option.assetPair,
            3600 // 1 hour
        );

        option.settlementPrice = settlementPrice;
        option.isSettled = true;

        // Calculate payoff
        uint256 payoff = 0;
        if (option.isCall && settlementPrice > option.strikePrice) {
            payoff = settlementPrice - option.strikePrice;
        } else if (!option.isCall && settlementPrice < option.strikePrice) {
            payoff = option.strikePrice - settlementPrice;
        }

        // Process payoff...
    }
}