2023-11-08 12:54:46 -05:00
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export function apply_guidance(doc: any) {
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let mostRelevantMarketPrice = null;
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let mostRelevantMarketPriceEarly = null;
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let mostRelevantMarketKey = null;
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let mostRelevantMarketSeason = null;
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let mostRelevantMarketSeasonEarly = null;
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let highestMarketRelevanceLevel = 0;
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let mostRelevantMarketSource = null;
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let mostRelevantCustomerPriceEarly = null;
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let mostRelevantCustomerPriceRecent = null;
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let mostRelevantCustomerKey = null;
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let mostRelevantCustomerSeasonEarly = null;
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let mostRelevantCustomerSeasonRecent = null;
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let highestCustomerRelevanceLevel = 0;
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let mostRelevantCustomerSource = null;
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// Function to update price and assign relevance indicator
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2023-11-10 01:44:37 -05:00
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//function setAnchors(items, channelFirstChar, v1ds, v0ds, histKey) {
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// for (let item of items) {
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// // Update the last_price with the most recent price
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// const years = Object.keys(item.season).map(Number).filter(year => year >= 2020);
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// if (years.length > 0) {
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// const recentYear = Math.max(...years.map(Number));
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// const earlyYear = Math.min(...years.map(Number));
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// const lastPrice = item.season[recentYear].price_usd;
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// const earlyPrice = item.season[earlyYear].price_usd;
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// item.last_price = lastPrice;
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// item.early_price = earlyPrice;
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// item.last_season = recentYear;
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// item.early_season = earlyYear;
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// } else {
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// item.last_price = null; // or some default value as appropriate
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// }
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// // Initialize relevance as numeric value
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// let marketRelevance = 0; // Assume 0 is 'not relevant'
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// let customerRelevance = 0; // Assume 0 is 'not relevant'
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// // Check if the first character of the item's channel matches the first character of the document's channel
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// if (item.chan.charAt(0) === channelFirstChar) {
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// marketRelevance = 1; // 'relevant'
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// // Further refine relevance based on v1ds and v0ds
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// if (item.v1ds === v1ds) {
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// marketRelevance = 2; // 'most relevant' because v1ds matches
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// // Check for customer relevance if 'cust' key exists
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// customerRelevance = item.cust ? 3 : 0;
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// } else if (item.v0ds === v0ds) {
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// marketRelevance = marketRelevance === 2 ? 2 : 1; // Keep relevance as is if v1ds was matched, otherwise it's just 'relevant'
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// customerRelevance = item.cust ? 2 : 0;
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// } else if (item.cust) {
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// customerRelevance = item.v1ds ? 2 : item.v0ds ? 1 : 0;
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// }
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// }
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// // Assign the calculated relevance to the item
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// item.marketRelevance = marketRelevance;
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// item.customerRelevance = customerRelevance;
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// // Update the most relevant market price if this item's relevance is higher and it doesn't have a 'cust' key
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// if (marketRelevance > highestMarketRelevanceLevel) {
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// highestMarketRelevanceLevel = marketRelevance;
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// mostRelevantMarketPrice = item.last_price;
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// mostRelevantMarketPriceEarly = item.early_price;
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// mostRelevantMarketKey = histKey;
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// mostRelevantMarketSource = item;
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// delete mostRelevantMarketSource.season;
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// mostRelevantMarketSeason = item.last_season; // Assuming 'season' is the key where the season info is stored
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// mostRelevantMarketSeasonEarly = item.early_season;
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// }
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// // Update the most relevant customer price if this item's relevance is higher and it has a 'cust' key
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// if (customerRelevance > highestCustomerRelevanceLevel) {
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// highestCustomerRelevanceLevel = customerRelevance;
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// mostRelevantCustomerPriceRecent = item.last_price;
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// mostRelevantCustomerPriceEarly = item.early_price;
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// mostRelevantCustomerKey = histKey;
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// mostRelevantCustomerSource = item;
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// delete mostRelevantCustomerSource.season;
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// mostRelevantCustomerSeasonRecent = item.last_season; // Assuming 'season' is the key where the season info is stored
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// mostRelevantCustomerSeasonEarly = item.early_season; // Assuming 'season' is the key where the season info is stored
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// }
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// }
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//}
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//// Iterate over each key in the "hist" object
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//for (let key of Object.keys(doc.hist)) {
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// // Update price and relevance for each item in the current key
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// setAnchors(doc.hist[key], doc.chan[0], doc.v1ds, doc.v0ds, key);
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//}
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//// Assign the most relevant market price and key to the top level of the document
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//if (mostRelevantMarketPrice !== null) {
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// doc.mostRelevantMarketPriceInfo = {
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// price: mostRelevantMarketPrice,
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// price_early: mostRelevantMarketPriceEarly,
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// source: mostRelevantMarketSource,
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// season: mostRelevantMarketSeason,
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// season_early: mostRelevantMarketSeasonEarly,
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// relevance: highestMarketRelevanceLevel
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// };
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//}
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//// Assign the most relevant customer price and key to the top level of the document
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//if (mostRelevantCustomerPriceRecent !== null) {
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// doc.mostRelevantCustomerPriceInfo = {
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// price: mostRelevantCustomerPriceRecent,
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// price_early: mostRelevantCustomerPriceEarly,
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// source: mostRelevantCustomerSource,
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// season: mostRelevantCustomerSeasonRecent,
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// season_early: mostRelevantCustomerSeasonEarly,
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// relevance: highestCustomerRelevanceLevel
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// };
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//}
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//doc.targetPrice = doc.v1tp ?? doc.v0tp ?? null;
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//// Determine the anchor price and source
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//if (doc.targetPrice !== undefined && (mostRelevantCustomerPriceEarly === undefined || doc.targetPrice < mostRelevantCustomerPriceEarly)) {
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// doc.anchorPrice = doc.targetPrice;
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// doc.anchorSource = 'Target Price';
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//} else if (mostRelevantCustomerPriceEarly !== undefined) {
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// doc.anchorPrice = mostRelevantCustomerPriceEarly;
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// doc.anchorSource = mostRelevantCustomerSeasonEarly + ' Customer Price';
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//} else {
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// doc.anchorPrice = null;
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// doc.anchorSource = 'none'; // or any other default value you wish to indicate no anchor price was found
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//}
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//const inflation = Math.max(...Object.keys(doc.iidx).map(Number));
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//const inflationFactor = doc.iidx[inflation] + 1;
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//doc.inflationFactor = inflationFactor;
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//var calcPrice = doc.anchorPrice * doc.inflationFactor;
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//calcPrice = parseFloat(calcPrice.toFixed(5));
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//let finalReason = "";
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//if (calcPrice >= doc.list) {
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// doc.calcCeiling = "Cap At List";
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// doc.finalPrice = doc.list;
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// finalReason = `${doc.anchorSource} ${doc.anchorPrice} x ${inflationFactor} = ${calcPrice} but cap at list ${doc.list}`;
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//} else {
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// doc.finalPrice = calcPrice;
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// finalReason = `${doc.anchorSource} ${doc.anchorPrice} x ${inflationFactor} = ${calcPrice}`;
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//}
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//doc.finalReason = finalReason;
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2023-11-08 12:54:46 -05:00
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return doc;
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}
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