Files
lst_v3/backend/datamart/datamart.controller.ts

317 lines
9.3 KiB
TypeScript

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