6840488791

Committed 12 Nov 2023 11:53AM UTC coverage: 84.889% (-0.2%) from 85.107%

Build # 6840488791

Build Type

Pull #54

github

Committed by

web-flow

Commit Message

Merge 00a167e1d into 672d21790

Pull Request Pull Request #54: [WIP] ML-based Career Feature:

Run Details

10217 of 13273 branches covered (0.0%)

Branch coverage included in aggregate %.

25 of 63 new or added lines in 8 files covered. (39.68%)

32 existing lines in 4 files now uncovered.

22640 of 25433 relevant lines covered (89.02%)

3093.79 hits per line

Source File
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25.0

/src/controllers/write/career.js

'use strict';

// const axios = require('axios');
const helpers = require('../helpers');
const user = require('../../user');
const db = require('../../database');

const Career = module.exports;

Career.register = async (req, res) => {
    const userData = req.body;
    try {
        const userCareerData = {
            student_id: userData.student_id,
            major: userData.major,
            age: userData.age,
            gender: userData.gender,
            gpa: userData.gpa,
            extra_curricular: userData.extra_curricular,
            num_programming_languages: userData.num_programming_languages,
            num_past_internships: userData.num_past_internships,
        };

        try {
            const queryParams = new URLSearchParams(userCareerData);
            const response = await fetch(`https://mlmodel1-wgtqgd7dva-uc.a.run.app/predict?${queryParams}`);
            const responseData = await response.json();
            userCareerData.prediction = String(responseData.good_employee);
        } catch (err) {
            console.error(err);
            return res.status(500).json({ error: 'An error occurred while calling the ML microservice' });
        }

        await user.setCareerData(req.uid, userCareerData);
        db.sortedSetAdd('users:career', req.uid, req.uid);
        res.json({});
    } catch (err) {
        console.log(err);
        helpers.noScriptErrors(req, res, err.message, 400);
    }
};

1	'use strict';
2
3	// const axios = require('axios');
4	const helpers = require('../helpers');	4✔
5	const user = require('../../user');	4✔
6	const db = require('../../database');	4✔
7
8	const Career = module.exports;	4✔
9
10	Career.register = async (req, res) => {	4✔
NEW 11	const userData = req.body;	×
NEW 12	try {	×
NEW 13	const userCareerData = {	×
14	student_id: userData.student_id,
15	major: userData.major,
16	age: userData.age,
17	gender: userData.gender,
18	gpa: userData.gpa,
19	extra_curricular: userData.extra_curricular,
20	num_programming_languages: userData.num_programming_languages,
21	num_past_internships: userData.num_past_internships,
22	};
23
NEW 24	try {	×
NEW 25	const queryParams = new URLSearchParams(userCareerData);	×
NEW 26	const response = await fetch(`https://mlmodel1-wgtqgd7dva-uc.a.run.app/predict?${queryParams}`);	×
NEW 27	const responseData = await response.json();	×
NEW 28	userCareerData.prediction = String(responseData.good_employee);	×
29	} catch (err) {
NEW 30	console.error(err);	×
NEW 31	return res.status(500).json({ error: 'An error occurred while calling the ML microservice' });	×
32	}
33
NEW 34	await user.setCareerData(req.uid, userCareerData);	×
NEW 35	db.sortedSetAdd('users:career', req.uid, req.uid);	×
NEW 36	res.json({});	×
37	} catch (err) {
NEW 38	console.log(err);	×
NEW 39	helpers.noScriptErrors(req, res, err.message, 400);	×
40	}
41	};

CMU-17313Q / fall23-nodebb-bugbusters / 6840488791

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