export function apply_guidance(doc: any) {
    let mostRelevantMarketPrice = null;
    let mostRelevantMarketPriceEarly = null;
    let mostRelevantMarketKey = null;
    let mostRelevantMarketSeason = null;
    let mostRelevantMarketSeasonEarly = null;
    let highestMarketRelevanceLevel = 0;
    let mostRelevantMarketSource = null;

    let mostRelevantCustomerPriceEarly = null;
    let mostRelevantCustomerPriceRecent = null;
    let mostRelevantCustomerKey = null;
    let mostRelevantCustomerSeasonEarly = null;
    let mostRelevantCustomerSeasonRecent = null;
    let highestCustomerRelevanceLevel = 0;
    let mostRelevantCustomerSource = null;

    // Function to update price and assign relevance indicator
    function setAnchors(items, channelFirstChar, v1ds, v0ds, histKey) {
        for (let item of items) {
            // Update the last_price with the most recent price
            const years = Object.keys(item.season).map(Number).filter(year => year >= 2020);
            if (years.length > 0) {
                const recentYear = Math.max(...years.map(Number));
                const earlyYear = Math.min(...years.map(Number));
                const lastPrice = item.season[recentYear].price_usd;
                const earlyPrice = item.season[earlyYear].price_usd;
                item.last_price = lastPrice;
                item.early_price = earlyPrice;
                item.last_season = recentYear;
                item.early_season = earlyYear;
            } else {
                item.last_price = null; // or some default value as appropriate
            }

            // Initialize relevance as numeric value
            let marketRelevance = 0; // Assume 0 is 'not relevant'
            let customerRelevance = 0; // Assume 0 is 'not relevant'


            // Check if the first character of the item's channel matches the first character of the document's channel
            if (item.chan.charAt(0) === channelFirstChar) {
                marketRelevance = 1; // 'relevant'


                // Further refine relevance based on v1ds and v0ds
                if (item.v1ds === v1ds) {
                    marketRelevance = 2; // 'most relevant' because v1ds matches

                    // Check for customer relevance if 'cust' key exists
                    customerRelevance = item.cust ? 3 : 0;
                } else if (item.v0ds === v0ds) {
                    marketRelevance = marketRelevance === 2 ? 2 : 1; // Keep relevance as is if v1ds was matched, otherwise it's just 'relevant'
                    customerRelevance = item.cust ? 2 : 0;
                } else if (item.cust) {
                    customerRelevance = item.v1ds ? 2 : item.v0ds ? 1 : 0;
                }
            }

            // Assign the calculated relevance to the item
            item.marketRelevance = marketRelevance;
            item.customerRelevance = customerRelevance;

            // Update the most relevant market price if this item's relevance is higher and it doesn't have a 'cust' key
            if (marketRelevance > highestMarketRelevanceLevel) {
                highestMarketRelevanceLevel = marketRelevance;
                mostRelevantMarketPrice = item.last_price;
                mostRelevantMarketPriceEarly = item.early_price;
                mostRelevantMarketKey = histKey;
                mostRelevantMarketSource = item;
                delete mostRelevantMarketSource.season;
                mostRelevantMarketSeason = item.last_season; // Assuming 'season' is the key where the season info is stored
                mostRelevantMarketSeasonEarly = item.early_season;
            }

            // Update the most relevant customer price if this item's relevance is higher and it has a 'cust' key
            if (customerRelevance > highestCustomerRelevanceLevel) {
                highestCustomerRelevanceLevel = customerRelevance;
                mostRelevantCustomerPriceRecent = item.last_price;
                mostRelevantCustomerPriceEarly = item.early_price;
                mostRelevantCustomerKey = histKey;
                mostRelevantCustomerSource = item;
                delete mostRelevantCustomerSource.season;
                mostRelevantCustomerSeasonRecent = item.last_season; // Assuming 'season' is the key where the season info is stored
                mostRelevantCustomerSeasonEarly = item.early_season; // Assuming 'season' is the key where the season info is stored
            }
        }
    }

    //// Iterate over each key in the "hist" object
    //for (let key of Object.keys(doc.hist)) {
    //    // Update price and relevance for each item in the current key
    //    setAnchors(doc.hist[key], doc.chan[0], doc.v1ds, doc.v0ds, key);
    //}

    //// Assign the most relevant market price and key to the top level of the document
    //if (mostRelevantMarketPrice !== null) {
    //    doc.mostRelevantMarketPriceInfo = {
    //        price: mostRelevantMarketPrice,
    //        price_early: mostRelevantMarketPriceEarly,
    //        source: mostRelevantMarketSource,
    //        season: mostRelevantMarketSeason,
    //        season_early: mostRelevantMarketSeasonEarly,
    //        relevance: highestMarketRelevanceLevel
    //    };
    //}

    //// Assign the most relevant customer price and key to the top level of the document
    //if (mostRelevantCustomerPriceRecent !== null) {
    //    doc.mostRelevantCustomerPriceInfo = {
    //        price: mostRelevantCustomerPriceRecent,
    //        price_early: mostRelevantCustomerPriceEarly,
    //        source: mostRelevantCustomerSource,
    //        season: mostRelevantCustomerSeasonRecent,
    //        season_early: mostRelevantCustomerSeasonEarly,
    //        relevance: highestCustomerRelevanceLevel
    //    };
    //}

    
    doc.targetPrice = doc.v1tp ?? doc.v0tp;
    // Determine the anchor price and source
    if (doc.hist.cust?.early_price !== undefined ) {
        if (doc.hist.cust.relevance !== 'customer exact') {
            // translate alternate product history to current product quoted
            doc.anchorPrice = Number((doc.hist.cust.early_price * doc.bridgePremium).toFixed(5));
            if (doc.targetPrice < doc.anchorPrice) {
                doc.anchorPrice = doc.targetPrice;
                doc.anchorSource = 'Target Price'
            } else {
                doc.anchorSource = doc.hist.cust.early_season + ' Similar (' + doc.hist.cust.ds + ') Customer Price ' + doc.hist.cust.early_price + ' x ' + doc.bridgePremium + ' = ' + doc.anchorPrice;
            }
        } else {
            doc.anchorPrice = doc.hist.cust.early_price;
            doc.anchorSource = doc.hist.cust.early_season + ' Customer Price ' + doc.hist.cust.early_price;
        }
    } else {
        doc.anchorPrice = doc.targetPrice;
        doc.anchorSource = 'Target Price';
    }

    const inflation = Math.max(...Object.keys(doc.iidx).map(Number));
    const inflationFactor = doc.iidx[inflation] + 1;
    doc.inflationFactor = inflationFactor;
    var calcPrice = doc.anchorPrice * doc.inflationFactor;
    calcPrice = parseFloat(calcPrice.toFixed(5));
    let finalReason = "";
    if (calcPrice >= doc.list) {
        doc.calcCeiling = "Cap At List";
        doc.finalPrice = doc.list;
        finalReason = `${doc.anchorSource} x ${inflationFactor} = ${calcPrice} but cap at list ${doc.list}`;
    } else {
        doc.finalPrice = calcPrice;
        finalReason = `${doc.anchorSource} x ${inflationFactor} = ${calcPrice}`;
    }
    doc.finalReason = finalReason;

    return doc;
}