326 lines
10 KiB
TypeScript
326 lines
10 KiB
TypeScript
/**
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* each endpoint will be something like
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* /api/datamart/{name}?{criteria}
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*
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* when getting the current queries we will need to map through the available queries we currently have and send back.
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* example
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*{
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* "name": "getopenorders",
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* "endpoint": "/api/datamart/getopenorders",
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* "description": "Returns open orders based on day count sent over, sDay 15 days in the past eDay 5 days in the future, can be left empty for this default days",
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* "options": "sDay,eDay"
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* },
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*
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* when a criteria is password over we will handle it by counting how many were passed up to 3 then deal with each one respectively
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*/
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import { and, between, inArray, notInArray } from "drizzle-orm";
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import { db } from "../db/db.controller.js";
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import { invHistoricalData } from "../db/schema/historicalInv.schema.js";
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import { prodQuery } from "../prodSql/prodSqlQuery.controller.js";
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import {
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type SqlQuery,
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sqlQuerySelector,
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} from "../prodSql/prodSqlQuerySelector.utils.js";
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import { returnFunc } from "../utils/returnHelper.utils.js";
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import { tryCatch } from "../utils/trycatch.utils.js";
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import { datamartData } from "./datamartData.utlis.js";
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type Data = {
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name: string;
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options: any;
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optionsRequired?: boolean;
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howManyOptionsRequired?: number;
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};
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const lstDbRun = async (data: Data) => {
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if (data.options) {
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if (data.name === "psiInventory") {
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const ids = data.options.articles.split(",").map((id: any) => id.trim());
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const whse = data.options.whseToInclude
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? data.options.whseToInclude
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.split(",")
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.map((w: any) => w.trim())
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.filter(Boolean)
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: [];
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const locations = data.options.exludeLanes
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? data.options.exludeLanes
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.split(",")
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.map((l: any) => l.trim())
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.filter(Boolean)
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: [];
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const conditions = [
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inArray(invHistoricalData.article, ids),
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between(
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invHistoricalData.histDate,
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data.options.startDate,
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data.options.endDate,
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),
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];
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// only add the warehouse condition if there are any whse values
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if (whse.length > 0) {
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conditions.push(inArray(invHistoricalData.whseId, whse));
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}
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// locations we dont want in the system
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if (locations.length > 0) {
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conditions.push(notInArray(invHistoricalData.location, locations));
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}
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return await db
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.select()
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.from(invHistoricalData)
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.where(and(...conditions));
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}
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}
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return [];
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};
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export const runDatamartQuery = async (data: Data) => {
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// search the query db for the query by name
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const considerLstDBRuns = ["psiInventory"];
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if (considerLstDBRuns.includes(data.name)) {
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const lstDB = await lstDbRun(data);
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return returnFunc({
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success: true,
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level: "info",
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module: "datamart",
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subModule: "lstDBrn",
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message: `Data for: ${data.name}`,
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data: lstDB,
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notify: false,
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});
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}
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const featureQ = sqlQuerySelector(`featureCheck`) as SqlQuery;
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const { data: fd, error: fe } = await tryCatch(
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prodQuery(featureQ.query, `Running feature check`),
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);
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if (fe) {
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return returnFunc({
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success: false,
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level: "error",
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module: "datamart",
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subModule: "query",
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message: `feature check failed`,
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data: fe as any,
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notify: false,
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});
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}
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// for queries that will need to be ran on legacy until we get the plant updated need to go in here
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const doubleQueries = ["inventory"];
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const sqlQuery = sqlQuerySelector(
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`datamart.${fd.data[0].activated > 0 && doubleQueries.includes(data.name) ? data.name : `legacy.${data.name}`}`,
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) as SqlQuery;
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// checking if warehousing is as it will start to effect a lot of queries for plants that are not on 2.
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const getDataMartInfo = datamartData.filter((x) => x.endpoint === data.name);
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// const optionsMissing =
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// !data.options || Object.keys(data.options).length === 0;
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const isValid =
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Object.keys(data.options ?? {}).length >=
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(getDataMartInfo[0]?.howManyOptionsRequired ?? 0);
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if (getDataMartInfo[0]?.optionsRequired && !isValid) {
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return returnFunc({
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success: false,
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level: "error",
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module: "datamart",
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subModule: "query",
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message: `This query is required to have ${getDataMartInfo[0]?.howManyOptionsRequired} option(s) set in order use it, please add in your option(s) data and try again.`,
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data: [getDataMartInfo[0].options],
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notify: false,
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});
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}
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if (!sqlQuery.success) {
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return returnFunc({
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success: false,
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level: "error",
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module: "datamart",
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subModule: "query",
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message: `Error getting ${data.name} info`,
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data: [sqlQuery.message],
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notify: false,
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});
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}
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// create the query with no changed just to have it here
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let datamartQuery = sqlQuery?.query || "";
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// split the criteria by "," then and then update the query
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if (data.options) {
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switch (data.name) {
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case "activeArticles":
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break;
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case "deliveryByDateRange":
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datamartQuery = datamartQuery
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.replace("[startDate]", `${data.options.startDate}`)
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.replace("[endDate]", `${data.options.endDate}`);
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break;
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case "customerInventory":
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datamartQuery = datamartQuery
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.replace(
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"--and IdAdressen",
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`and IdAdressen in (${data.options.customer})`,
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)
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.replace(
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"--and x.IdWarenlager in (0)",
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`${data.options.whseToInclude ? `and x.IdWarenlager in (${data.options.whseToInclude})` : `--and x.IdWarenlager in (0)`}`,
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);
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break;
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case "openOrders":
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datamartQuery = datamartQuery
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.replace("[startDay]", `${data.options.startDay}`)
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.replace("[endDay]", `${data.options.endDay}`);
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break;
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case "inventory":
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datamartQuery = datamartQuery
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.replaceAll(
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"--,l.RunningNumber",
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`${data.options.includeRunningNumbers ? `,l.RunningNumber` : `--,l.RunningNumber`}`,
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)
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.replaceAll(
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"--,l.MachineLocation,l.MachineName,l.ProductionLotRunningNumber as lot",
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`${data.options.lots ? `,l.MachineLocation,l.MachineName,l.ProductionLotRunningNumber as lot` : `--,l.MachineLocation,l.MachineName,l.ProductionLotRunningNumber as lot`}`,
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)
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.replaceAll(
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"--,l.WarehouseDescription,l.LaneDescription",
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`${data.options.locations ? `,l.WarehouseDescription,l.LaneDescription` : `--,l.WarehouseDescription,l.LaneDescription`}`,
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);
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// adding in a test for historical check.
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if (data.options.historical) {
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datamartQuery = datamartQuery
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.replace(
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"--,l.ProductionLotRunningNumber as lot,l.warehousehumanreadableid as warehouseId,l.WarehouseDescription as warehouseDescription,l.lanehumanreadableid as locationId,l.lanedescription as laneDescription",
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",l.ProductionLotRunningNumber as lot,l.warehousehumanreadableid as warehouseId,l.WarehouseDescription as warehouseDescription,l.lanehumanreadableid as locationId,l.lanedescription as laneDescription",
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)
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.replace(
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"--,l.ProductionLotRunningNumber,l.warehousehumanreadableid,l.WarehouseDescription,l.lanehumanreadableid,l.lanedescription",
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",l.ProductionLotRunningNumber,l.warehousehumanreadableid,l.WarehouseDescription,l.lanehumanreadableid,l.lanedescription",
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);
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}
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break;
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case "fakeEDIUpdate":
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datamartQuery = datamartQuery.replace(
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"--AND h.CustomerHumanReadableId in (0)",
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`${data.options.address ? `AND h.CustomerHumanReadableId in (${data.options.address})` : `--AND h.CustomerHumanReadableId in (0)`}`,
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);
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break;
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case "forecast":
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datamartQuery = datamartQuery.replace(
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"where DeliveryAddressHumanReadableId in ([customers])",
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data.options.customers
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? `where DeliveryAddressHumanReadableId in (${data.options.customers})`
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: "--where DeliveryAddressHumanReadableId in ([customers])",
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);
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break;
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case "activeArticles2":
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datamartQuery = datamartQuery.replace(
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"and a.HumanReadableId in ([articles])",
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data.options.articles
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? `and a.HumanReadableId in (${data.options.articles})`
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: "--and a.HumanReadableId in ([articles])",
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);
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break;
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case "psiDeliveryData":
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datamartQuery = datamartQuery
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.replace("[startDate]", `${data.options.startDate}`)
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.replace("[endDate]", `${data.options.endDate}`)
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.replace(
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"and IdArtikelVarianten in ([articles])",
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data.options.articles
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? `and IdArtikelVarianten in (${data.options.articles})`
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: "--and IdArtikelVarianten in ([articles])",
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);
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break;
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case "productionData":
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datamartQuery = datamartQuery
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.replace("[startDate]", `${data.options.startDate}`)
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.replace("[endDate]", `${data.options.endDate}`)
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.replace(
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"and ArticleHumanReadableId in ([articles])",
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data.options.articles
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? `and ArticleHumanReadableId in (${data.options.articles})`
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: "--and ArticleHumanReadableId in ([articles])",
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);
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break;
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case "psiPlanningData":
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datamartQuery = datamartQuery
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.replace("[startDate]", `${data.options.startDate}`)
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.replace("[endDate]", `${data.options.endDate}`)
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.replace(
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"and p.IdArtikelvarianten in ([articles])",
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data.options.articles
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? `and p.IdArtikelvarianten in (${data.options.articles})`
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: "--and p.IdArtikelvarianten in ([articles])",
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);
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break;
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default:
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return returnFunc({
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success: false,
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level: "error",
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module: "datamart",
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subModule: "query",
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message: `${data.name} encountered an error as it might not exist in LST please contact support if this continues to happen`,
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data: [sqlQuery.message],
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notify: true,
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});
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}
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}
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const { data: queryRun, error } = await tryCatch(
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prodQuery(datamartQuery, `Running datamart query: ${data.name}`),
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);
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if (error) {
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return returnFunc({
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success: false,
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level: "error",
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module: "datamart",
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subModule: "query",
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message: `Data for: ${data.name} encountered an error while trying to get it`,
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data: [error],
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notify: false,
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});
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}
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if (!queryRun.success) {
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return returnFunc({
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success: false,
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level: "error",
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module: "datamart",
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subModule: "query",
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message: queryRun.message,
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data: queryRun.data,
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notify: false,
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});
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}
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return returnFunc({
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success: true,
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level: "info",
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module: "datamart",
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subModule: "query",
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message: `Data for: ${data.name}`,
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data: queryRun.data,
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notify: false,
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});
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};
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