132 lines
4.5 KiB
JavaScript
132 lines
4.5 KiB
JavaScript
const log = require("electron-log");
|
|
const axios = require("axios");
|
|
const path = require("path");
|
|
const { BrowserWindow } = require("electron");
|
|
const { default: ipcTypes } = require("../../src/ipc.types.commonjs");
|
|
const { promises: fsPromises } = require("fs");
|
|
|
|
// Function to write job object to logs subfolder
|
|
async function writeJobToLogsFolder(job, fileName) {
|
|
try {
|
|
// Get the directory where electron-log stores its files
|
|
const logFilePath = log.transports.file.getFile().path;
|
|
const logsDir = path.dirname(logFilePath);
|
|
|
|
// Create a subfolder for job objects
|
|
const jobLogsDir = path.join(logsDir, 'esjson');
|
|
|
|
// Ensure the directory exists
|
|
await fsPromises.mkdir(jobLogsDir, { recursive: true });
|
|
|
|
// Write the job object as JSON
|
|
const jobFilePath = path.join(jobLogsDir, `${fileName}.json`);
|
|
await fsPromises.writeFile(jobFilePath, JSON.stringify(job, null, 2), 'utf8');
|
|
|
|
log.debug(`Job object written to: ${jobFilePath}`);
|
|
console.log(`Job object written to: ${jobFilePath}`);
|
|
return jobFilePath;
|
|
} catch (error) {
|
|
log.error('Error writing job object to logs folder:', error);
|
|
throw error;
|
|
}
|
|
}
|
|
async function ScrubEstimate({ job }) {
|
|
//These are hard coded as they are not secure values and checking happens based on other values.
|
|
//No secret or private information is exposed.
|
|
const basicAuthUser = "Imex2";
|
|
const basicAuthpassword = "Patrick";
|
|
const estimateScrubberUrl = "https://insurtechtoolkit.com/api/sendems";
|
|
const sendingEntityId = '87330f61-412b-4251-baaa-d026565b23c5'
|
|
|
|
//Perform data manipulation on the job object
|
|
if (!job) {
|
|
console.error("No job provided to ScrubEstimate");
|
|
return;
|
|
}
|
|
|
|
//Set shop metrics
|
|
job.sending_entity_id = sendingEntityId;
|
|
job.sending_entity_accept_terms_of_use = true;
|
|
job.association_switch = "ATAM";
|
|
job.rf_zip = job.bodyshop.zip_post;
|
|
job.rf_ph1 = job.bodyshop.phone;
|
|
job.g_ttl_amt = job.clm_total;
|
|
job.source_system = "M"; //Requested by Steven.
|
|
delete job.clm_total;
|
|
delete job.bodyshop //Bodyshop has to be passed through the object as we don't have access to the store here.
|
|
|
|
//Adjust the rates field to be MAT_TYPE instead of MATL_TYPE
|
|
if (job.rates && Array.isArray(job.rates)) {
|
|
job.rates.forEach(rate => {
|
|
if (rate.MATL_TYPE) {
|
|
rate.MAT_TYPE = rate.MATL_TYPE;
|
|
delete rate.MATL_TYPE;
|
|
}
|
|
});
|
|
}
|
|
|
|
//Lower case the rates & totals
|
|
if (job.rates && Array.isArray(job.rates)) {
|
|
job.rates = job.rates.map(rate => {
|
|
const lowercasedRate = {};
|
|
for (const [key, value] of Object.entries(rate)) {
|
|
lowercasedRate[key.toLowerCase()] = value;
|
|
}
|
|
return lowercasedRate;
|
|
});
|
|
}
|
|
|
|
if (job.totals && Array.isArray(job.totals)) {
|
|
job.totals = job.totals.map(total => {
|
|
const lowercasedTotal = {};
|
|
for (const [key, value] of Object.entries(total)) {
|
|
lowercasedTotal[key.toLowerCase()] = value;
|
|
}
|
|
return lowercasedTotal;
|
|
});
|
|
}
|
|
|
|
const fileName = `RPS-Scrub-${job.id}-${job.clm_no}-${Date.now()}`;
|
|
|
|
// Write job object to logs subfolder
|
|
try {
|
|
await writeJobToLogsFolder(job, fileName);
|
|
} catch (error) {
|
|
log.error('Failed to write job to logs folder:', error);
|
|
// Continue with the rest of the function even if this fails
|
|
}
|
|
|
|
const formData = new FormData();
|
|
const jsonString = JSON.stringify(job);
|
|
formData.append("file", new Blob([jsonString], { type: "application/json" }), `${fileName}.json`);
|
|
|
|
const result = await axios.post(estimateScrubberUrl, formData, {
|
|
auth: {
|
|
username: basicAuthUser,
|
|
password: basicAuthpassword
|
|
},
|
|
headers: formData.getHeaders ? formData.getHeaders() : {}
|
|
});
|
|
|
|
const resultPDFUrl = result?.data?.report_link
|
|
|
|
// log.log("Estimate Scrubber Result:", result.data, resultPDFUrl);
|
|
const b = BrowserWindow.getAllWindows()[0];
|
|
b.webContents.send(ipcTypes.app.toRenderer.scrubResults, {
|
|
jobid: job.id,
|
|
items: result.data?.identified_item,
|
|
pdfUrl: resultPDFUrl
|
|
});
|
|
|
|
// const pdfWindow = new BrowserWindow({
|
|
|
|
// webPreferences: {
|
|
// plugins: true, // Enable PDF viewing
|
|
// },
|
|
// });
|
|
|
|
// pdfWindow.loadURL(resultPDFUrl);
|
|
// pdfWindow.focus();
|
|
return resultPDFUrl
|
|
}
|
|
exports.ScrubEstimate = ScrubEstimate |