split apply guidnace function to new file
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parent
3557d5c3b6
commit
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149
api.ts
149
api.ts
@ -6,6 +6,7 @@ const router = new Router();
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//---------dotenv info-------------
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import { load } from "https://deno.land/std/dotenv/mod.ts";
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import { apply_guidance } from './apply_guidance.ts';
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const env = await load();
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const hostname = env["HOSTNAME"];
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@ -31,154 +32,6 @@ await client.connect();
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// Load SQL from file
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const query = await Deno.readTextFile("sql/get.pg.sql");
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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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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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return doc;
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}
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// Define a route to retrieve values from the database using parameters
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router.get('/code_price/:billcode/:shipcode/:partcode/:qty', async (ctx) => {
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150
apply_guidance.ts
Normal file
150
apply_guidance.ts
Normal file
@ -0,0 +1,150 @@
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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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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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return doc;
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}
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