vault backup: 2023-11-10 16:32:05
This commit is contained in:
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784095dd7f
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export function apply_guidance(doc: any) {
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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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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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const targetPrice = doc.v1tp ?? doc.v0tp;
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const targetPrice = doc.v1tp ?? doc.v0tp;
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const earlyPrice = doc.hist?.cust?.early_price;
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const earlyPrice = doc.hist?.cust?.early_price;
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let anchorPrice = null;
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let anchorPrice = null;
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let anchorSource = null;
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let anchorSource = null;
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let bridgePremium = doc.bridgePremium ?? 1.00000;
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let bridgePremium = doc.bridgePremium ?? 1.00000;
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// ------if there is not target price just exit---------------
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if (!targetPrice) {
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if (!targetPrice) {
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anchorSource = "No target pricing setup";
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anchorSource = "No target pricing setup";
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doc.finalReason = "No target pricing setup";
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doc.finalReason = "No target pricing setup";
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} else {
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} else {
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// Determine the anchor price and source
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// if there is no customer anchor price use target
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if (earlyPrice) {
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if (earlyPrice) {
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// translate alternate product history to current product quoted
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// translate alternate product history to current product quoted
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anchorPrice = Number((earlyPrice * bridgePremium).toFixed(5));
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anchorPrice = Number((earlyPrice * bridgePremium).toFixed(5));
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// after the early price is translated see if target is still less
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// --------if the price needs bridged, add the details to the description--------
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if (targetPrice < anchorPrice) {
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if (bridgePremium === 1) {
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anchorSource = `Target Price ${targetPrice}`;
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anchorSource = doc.hist.cust.early_season + ' Customer Price ' + earlyPrice;
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anchorPrice = targetPrice;
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} else {
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} else {
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anchorSource = doc.hist.cust.early_season + ' Similar (' + doc.hist.cust.ds + ') Customer Price ' + earlyPrice + ' x ' + doc.bridgePremium + ' = ' + anchorPrice;
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anchorSource = doc.hist.cust.early_season + ' Similar (' + doc.hist.cust.ds + ') Customer Price ' + earlyPrice + ' x ' + doc.bridgePremium + ' = ' + anchorPrice;
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}
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}
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// --------after the early price is translated see if target is still less-------
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if (targetPrice < anchorPrice) {
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anchorSource = `Target Price ${targetPrice}`;
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anchorPrice = targetPrice;
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}
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} else {
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} else {
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anchorPrice = targetPrice;
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anchorPrice = targetPrice;
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anchorSource = `Target Price ${targetPrice}`;
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anchorSource = `Target Price ${targetPrice}`;
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}
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}
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//------get the most relevant inflation factor number---------------------------------
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const inflation = Math.max(...Object.keys(doc.iidx).map(Number));
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const inflation = Math.max(...Object.keys(doc.iidx).map(Number));
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//------extract the inflation factor using the relevance key--------------------------
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const inflationFactor = doc.iidx[inflation] + 1;
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const inflationFactor = doc.iidx[inflation] + 1;
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var calcPrice = parseFloat((anchorPrice * inflationFactor).toFixed(5));
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let calcPrice = parseFloat((anchorPrice * inflationFactor).toFixed(5));
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let finalReason = "";
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let finalReason = "";
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if (calcPrice >= doc.list && doc.list) {
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if (calcPrice >= doc.list && doc.list) {
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doc.calcCeiling = "Cap At List";
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doc.calcCeiling = "Cap At List";
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@ -162,6 +50,5 @@ export function apply_guidance(doc: any) {
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doc.bridgePremium = bridgePremium;
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doc.bridgePremium = bridgePremium;
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doc.targetPrice = targetPrice;
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doc.targetPrice = targetPrice;
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}
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}
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return doc;
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return doc;
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}
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}
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118
set_anchors.ts
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118
set_anchors.ts
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@ -0,0 +1,118 @@
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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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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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Block a user