@ionaai/rtnapi/match.js

common api collection for RTN

'use strict';
var _ = require("underscore");
var mongoose = require("mongoose");
var DBModel  = require('@ionaai/rtndbmodel');
var User = DBModel.user;
var Job = DBModel.job;
var AppliedJobData = DBModel.appliedJobData;


//Micro-functions

//1. Filters
var genderCheck = function(master, job){
    var genderFound = _.filter(job.gender, function (jobGender) {
        return (jobGender === master.gender) ;
    });
    return genderFound.length;
};

var filters = [
    {name: 'gender', filterFunc: genderCheck}
];



//2. Match makers
var salaryMatch = function(master, job){
    if(master.jobPreferences && master.jobPreferences.abbyAnswer){
        var salPref = _.find(master.jobPreferences.abbyAnswer, function(i){
            return i.parameter === "Salary"
        });
        console.log("salPref.answer.text " + salPref.answer.text);
        if(salPref && salPref.answer){
            var prefSalaryRange = {
                min : 0,
                max : 0
            }
            var answer = salPref.answer;
            if(salPref.answer.text === "10,000 - 12,000 per month"){
                prefSalaryRange = {
                    min : 10000,
                    max : 12000
                };
            } else if(salPref.answer.text === "8,000 - 10,000 per month"){
                prefSalaryRange = {
                    min : 8000,
                    max : 10000
                };

            } else if(salPref.answer.text === "12,000 - 14,000 per month"){
                prefSalaryRange = {
                    min : 12000,
                    max : 14000
                };
            } else if(salPref.answer.text === ">14,000 per month"){
                prefSalaryRange = {
                    min : 14000,
                    max : 1000000
                };
            } else {
                //Happy to accept salary as per my skills and qualifications
                prefSalaryRange = {
                    min : 0,
                    max : 1000000
                };
            }

            console.log("Salary data points: Job ",  job.minSalary, job.maxSalary);
            console.log("Salary data points: User " , prefSalaryRange.min, prefSalaryRange.max);
            if((job.minSalary >= prefSalaryRange.min) && (job.maxSalary <= prefSalaryRange.max)){
                return 50;
            } else {
                return 0;
            }
        } else {
            return 0;
        }
    } else {
        return 0;
    }
};

var matchmakers = [
    {name: 'salary Preference', filterFunc: salaryMatch},
    {name: 'location', filterFunc: salaryMatch},
];


//3. Amplifiers

var behaviorCheck = function(master, job){
    var genderFound = _.filter(job.gender, function (jobGender) {
        return (jobGender === master.gender) ;
    });
    return genderFound.length;
}

var amplifiers = [
    {name: 'gender', filterFunc: behaviorCheck}
];


////Unit function

//score = F1*F2*F3.....FN*Amp1*Amp2.....AmpN*(M1 + M2 + .....MN)

var GetMatchScore = function (masterAJD, job) {

    console.log("=================================");
    var matchScore = 0;

    //Let's start with Filters
    _.each(filters, function(f){
        console.log("Running Filter : ", f.name);
        var filterResult = f.filterFunc(masterAJD, job);
        console.log("Filter Result (is it pass?): " + filterResult);
        if(!filterResult){
            console.log("Filter blocked : ", f.name);
            matchScore = 0;
            return matchScore;
        }
    });

    //Match Makers
    _.each(matchmakers, function(mm){
        console.log("Running match maker : ", mm.name + " with initial Score: " + matchScore);
        matchScore += mm.filterFunc(masterAJD, job);
        console.log("Updated Matching Score : ", matchScore);
    });

    //Amplifier
    _.each(amplifiers, function(amp){
        console.log("Running amplifier : ", amp.name + " with initial Score: " + matchScore);
        matchScore = matchScore * (amp.filterFunc(masterAJD, job));
        console.log("Updated Matching Score : ", matchScore);
    });

    return matchScore;
};

//Library exports

var getUserJobMatchingScore = function(masterAJD, job, next){
    console.log("User: " , masterAJD.userId, "Job: " , job.urlSlug);
    var matchScore = GetMatchScore(masterAJD, job);

    next({
        urlSlug         : job.jobUrlSlug,
        name            : job.name,
        orgDisplayName  : job.orgDisplayName,
        matchScore      : matchScore,
        logoUrl         : job.logoUrl,
        workLocation    : job.workLocation,
        salaryRange     : job.salaryRange
    });
};

var getUserJobsMatchingScore = function(masterAJD, jobs, next){
    console.log("User: " , masterAJD.userId, "Jobs count: ", jobs.length);
    var jobsPayload = [];
    _.each(jobs, function(item){
        var matchScore = GetMatchScore(masterAJD, item);
        jobsPayload.push({
            urlSlug         : item.jobUrlSlug,
            name            : item.name,
            orgDisplayName  : item.orgDisplayName,
            matchScore      : matchScore,
            logoUrl         : item.logoUrl,
            workLocation    : item.workLocation,
            salaryRange     : item.salaryRange
        })
    });

    next(null, jobsPayload);
}

var getUsersJobMatchingScore = function(masterAJDs, Job, next){
    console.log("Users count: ", masterAJDs.length, "Job: " , Job.urlSlug);
    next();
}

module.exports = {
    getUserJobMatchingScore  : getUserJobMatchingScore,
    getUserJobsMatchingScore : getUserJobsMatchingScore,
    getUsersJobMatchingScore : getUsersJobMatchingScore
}