price_api/api.ts

import { Application, Router } from 'https://deno.land/x/oak/mod.ts';
import { Client } from "https://deno.land/x/postgres@v0.17.0/mod.ts";

const app = new Application();
const router = new Router();

//---------dotenv info-------------
import { load } from "https://deno.land/std/dotenv/mod.ts";

const env = await load();
const hostname = env["HOSTNAME"];
const port     = env["PORT"];
const user     = env["USER"];
const password = env["PASSWORD"];
const database = env["DATABASE"];
const app_port = env["APP_PORT"];


// Configure database connection
const client = new Client({
    hostname:hostname 
    ,port:    port     
    ,user:    user     
    ,password:password 
    ,database:database 
    ,applicationName: "pricing guidance"
});

await client.connect();

// Load SQL from file
const query = await Deno.readTextFile("sql/get.pg.sql");

function apply_guidance(doc: any) {
    let mostRelevantMarketPrice = null;
    let mostRelevantMarketKey = null;
    let mostRelevantMarketSeason = null;
    let highestMarketRelevanceLevel = -1;

    let mostRelevantCustomerPriceEarly = null;
    let mostRelevantCustomerPriceRecent = null;
    let mostRelevantCustomerKey = null;
    let mostRelevantCustomerSeasonEarly = null;
    let mostRelevantCustomerSeasonRecent = null;
    let highestCustomerRelevanceLevel = -1;

    // 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 ? 2 : 1
                } else if (item.v0ds === v0ds) {
                    marketRelevance = marketRelevance === 2 ? 2 : 1; // Keep relevance as is if v1ds was matched, otherwise it's just 'relevant'
                }
            }


            // 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;
                  mostRelevantMarketKey = histKey;
                  mostRelevantMarketSeason = item.last_season; // Assuming 'season' is the key where the season info is stored
            }

            // 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;
                  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,
        histKey: mostRelevantMarketKey,
        season: mostRelevantMarketSeason
      };
    }

    // 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,
        histKey: mostRelevantCustomerKey,
        season: mostRelevantCustomerSeasonRecent,
        season_early: mostRelevantCustomerSeasonEarly
      };
    }

    doc.targetPrice = doc.v1tp ?? doc.v0tp ?? null;
    // Determine the anchor price and source
    if (doc.targetPrice !== undefined && (mostRelevantCustomerPriceEarly === undefined || doc.targetPrice < mostRelevantCustomerPriceEarly)) {
      doc.anchorPrice = doc.targetPrice;
      doc.anchorSource = 'Target Price';
    } else if (mostRelevantCustomerPriceEarly !== undefined) {
      doc.anchorPrice = mostRelevantCustomerPriceEarly;
      doc.anchorSource = mostRelevantCustomerSeasonEarly + ' Customer Price';
    } else {
      doc.anchorPrice = null;
      doc.anchorSource = 'none'; // or any other default value you wish to indicate no anchor price was found
    }

    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} ${doc.anchorPrice} x ${inflationFactor} = ${calcPrice} but cap at list ${doc.list}`;
    } else {
        doc.finalPrice = calcPrice
        finalReason = `${doc.anchorSource} ${doc.anchorPrice} x ${inflationFactor} = ${calcPrice}`;
    }
    doc.finalReason = finalReason;

  return doc;
}

// Define a route to retrieve values from the database using parameters
router.get('/code_price/:billcode/:shipcode/:partcode/:qty', async (ctx) => {

    const partcode = ctx.params.partcode;
    const billcode = ctx.params.billcode;
    const shipcode = ctx.params.shipcode;
    const qty = ctx.params.qty;

    //console.log(partcode)
    //console.log(customer)
    const result = await client.queryObject({args: [billcode, shipcode, partcode, qty], text: query} );
    const procd = apply_guidance(result.rows[0]["doc"])
    ctx.response.body = procd;
});

app.use(router.routes());
app.use(router.allowedMethods());

// Start the server
console.log('Server is running on http://usmidsap02:8090');
await app.listen({ port: 8090 });