Files
esdp/src/main/decoder/decode-pfl.ts
2025-12-01 05:43:59 -08:00

123 lines
3.5 KiB
TypeScript

import { DBFFile } from "dbffile";
import log from "electron-log/main";
import _ from "lodash";
import deepLowerCaseKeys from "../../util/deepLowercaseKeys";
import errorTypeCheck from "../../util/errorTypeCheck";
import {
DecodedPfl,
JobLaborRateFields,
DecodedPflLine,
} from "./decode-pfl.interface";
import { platform } from "@electron-toolkit/utils";
import { findFileCaseInsensitive } from "./decoder-utils";
const DecodePfl = async (
extensionlessFilePath: string,
): Promise<DecodedPfl> => {
let dbf: DBFFile | null = null;
if (platform.isWindows) {
try {
dbf = await DBFFile.open(`${extensionlessFilePath}.PFL`);
} catch (error) {
//PFL File only has 1 location.
log.error("Error opening PFL File.", errorTypeCheck(error));
}
if (!dbf) {
log.error(`Could not find any PFL files at ${extensionlessFilePath}`);
throw new Error(
`Could not find any PFL files at ${extensionlessFilePath}`,
);
}
} else {
const possibleExtensions: string[] = [".pfl"];
const filePath = await findFileCaseInsensitive(
extensionlessFilePath,
possibleExtensions,
);
try {
if (!filePath) {
log.error(`Could not find any PFL files at ${extensionlessFilePath}`);
throw new Error(
`Could not find any PFL files at ${extensionlessFilePath}`,
);
}
dbf = await DBFFile.open(filePath);
} catch (error) {
log.error("Error opening PFL File.", errorTypeCheck(error));
throw error;
}
}
const rawDBFRecord = await dbf.readRecords();
//AD2 will always have only 1 row.
//Commented lines have been cross referenced with existing partner fields.
const jobLaborRates: JobLaborRateFields = {
rate_laa: 0,
rate_lab: 0,
rate_lad: 0,
rate_las: 0,
rate_lar: 0,
rate_lae: 0,
rate_lag: 0,
rate_laf: 0,
rate_lam: 0,
rate_lau: 0,
rate_la1: 0,
rate_la2: 0,
rate_la3: 0,
rate_la4: 0,
};
const rawPflData: DecodedPflLine[] = rawDBFRecord.map((record) => {
const singleLineData: DecodedPflLine = deepLowerCaseKeys(
_.pick(record, [
//TODO: Add typings for EMS File Formats.
"LBR_TYPE",
"LBR_DESC",
"LBR_RATE",
"LBR_TAX_IN",
"LBR_TAXP",
"LBR_ADJP",
"LBR_TX_TY1",
"LBR_TX_IN1",
"LBR_TX_TY2",
"LBR_TX_IN2",
"LBR_TX_TY3",
"LBR_TX_IN3",
"LBR_TX_TY4",
"LBR_TX_IN4",
"LBR_TX_TY5",
"LBR_TX_IN5",
]),
);
//Apply line by line adjustments.
//Set the job.rate_<CIECA_TYPE> field based on the value.
jobLaborRates[`rate_${singleLineData.lbr_type.toLowerCase()}`] =
singleLineData.lbr_rate;
//For Mitchell, Alum is stored under LA3 instead of LAA. Shift it back over.
//The old partner had a check for this, but it always was true. Matching that logic.
if (singleLineData.lbr_type === "LA3") {
jobLaborRates[`rate_laa`] = singleLineData.lbr_rate;
}
//Also capture the whole object.
//This is segmented because the whole object was not previously captured for ImEX as it wasn't needed.
//Rome needs the whole object to accurately calculate the tax rates.
return singleLineData;
});
//Apply business logic transfomrations.
//We don't have an inspection date, we instead have `date_estimated`
const pflObj = _.keyBy(rawPflData, "lbr_type");
return { ...jobLaborRates, cieca_pfl: pflObj };
};
export default DecodePfl;