6851433854

Committed 13 Nov 2023 02:34PM UTC coverage: 84.954% (-0.1%) from 85.058%

Build # 6851433854

Build Type

push

github

Committed by

web-flow

Commit Message

Merge pull request #82 from CMU-17313Q/Python-Microservice

Integrate Career Feature into NodeBB - Python Microservice

Run Details

10248 of 13298 branches covered (0.0%)

Branch coverage included in aggregate %.

20 of 44 new or added lines in 8 files covered. (45.45%)

2 existing lines in 2 files now uncovered.

22675 of 25456 relevant lines covered (89.08%)

3093.97 hits per line

Source File
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23.81

/src/controllers/write/career.js

'use strict';

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 DeployedURL = 'https://deployed-model-python-azxm6vzqyq-uc.a.run.app/predict';
            const queryParams = new URLSearchParams(userCareerData);
            const response = await fetch(`${DeployedURL}?${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 helpers = require('../helpers');	4✔
4	const user = require('../../user');	4✔
5	const db = require('../../database');	4✔
6
7	const Career = module.exports;	4✔
8
9	Career.register = async (req, res) => {	4✔
10	const userData = req.body;	×
11	try {	×
12	const userCareerData = {	×
13	student_id: userData.student_id,
14	major: userData.major,
15	age: userData.age,
16	gender: userData.gender,
17	gpa: userData.gpa,
18	extra_curricular: userData.extra_curricular,
19	num_programming_languages: userData.num_programming_languages,
20	num_past_internships: userData.num_past_internships,
21	};
22
23	try {	×
24	const DeployedURL = 'https://deployed-model-python-azxm6vzqyq-uc.a.run.app/predict';	×
25	const queryParams = new URLSearchParams(userCareerData);	×
26	const response = await fetch(`${DeployedURL}?${queryParams}`);	×
27	const responseData = await response.json();	×
28	userCareerData.prediction = String(responseData.good_employee);	×
29	} catch (err) {
30	console.error(err);	×
31	return res.status(500).json({ error: 'An error occurred while calling the ML microservice' });	×
32	}
33
34	await user.setCareerData(req.uid, userCareerData);	×
35	db.sortedSetAdd('users:career', req.uid, req.uid);	×
NEW 36	res.json({});	×
37	} catch (err) {
38	console.log(err);	×
39	helpers.noScriptErrors(req, res, err.message, 400);	×
40	}
41	};

CMU-17313Q / fall23-nodebb-6-bits / 6851433854

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