Looping through dictionaries in an array with JavaScript for comparison

I am looking to compare a dictionary that contains specific preferences of a coachee with other dictionaries that hold the profiles of coaches.

Each coach will receive a score based on how well they match the coachee's preferences, or be excluded with a score of -1 if they do not meet an important preference.

One coachee will be compared to 24 coaches in order to determine the best match.

QUESTION: How can I efficiently loop through this process?

Below is a sample code:

//coachee\\

var coachee = {
    "gender": 1,
    "age_option_1": 1,
    "age_option_2": 1,
    "age_option_3": 0,
    "topics_option_1": 1,
    "topics_option_2": 0,
    "topics_option_3": 0,
    "industry_option_1": 1,
    "industry_option_2": 0,
    "industry_option_3": 0,
    "experience_option_1": 1,
    "experience_option_2": 0,
    "experience_option_3": 1,
    "language_option_1": 1,
    "language_option_2": 0,
    "language_option_3": 0
}

//coach1\\

var coach1 = {
    coach1_answers_gender : 2,
    coach1_answers_age_option_1 : 0,
    coach1_answers_age_option_2 : 1,
    coach1_answers_age_option_3 : 0,
    coach1_answers_topics_option_1 : 1,
    coach1_answers_topics_option_2 : 0,
    coach1_answers_topics_option_3 : 1,
    coach1_answers_industry_option1 : 1,
    coach1_answers_industry_option2 : 1,
    coach1_answers_industry_option3 : 0,
    coach1_answers_experience_option1 : 1,
    coach1_answers_experience_option2 : 1,
    coach1_answers_experience_option3 : 0,
    coach1_answers_language_option_1 : 1, 
    coach1_answers_language_option_2 : 1,
    coach1_answers_language_option_3 : 1
};

///COMPARISON///

//Topics//

if (answers["topics_option_1"] == 1 && coach1_answers_topics_option_1 == 1) {
    coach1_topics1_score = 1;
} else {
    coach1_topics1_score = 0;
}
if (answers["topics_option_2"] == 1 && coach1_answers_topics_option_2 == 1) {
    coach1_topics2_score = 1;
} else {
    coach1_topics2_score = 0;
}
if (answers["topics_option_3"] == 1 && coach1_answers_topics_option_3 == 1) {
    coach1_topics3_score = 1;
} else {
    coach1_topics3_score = 0;
}

var coach1_topics_score = coach1_topics1_score + coach1_topics2_score + coach1_topics3_score;

//Industry//

if (answers["industry_option_1"] == 1 && coach1_answers_industry_option1 == 1) {
    coach1_industry1_score = 1;
} else {
    coach1_industry1_score = 0;
}
if (answers["industry_option_2"] == 1 && coach1_answers_industry_option2 == 1) {
    coach1_industry2_score = 1;
} else {
    coach1_industry2_score = 0;
}
if (answers["industry_option_3"] == 1 && coach1_answers_industry_option3 == 1) {
    coach1_industry3_score = 1;
} else {
    coach1_industry3_score = 0;
}

var coach1_industry_score = coach1_industry1_score + coach1_industry2_score + coach1_industry3_score;

//Experience//

if (answers["experience_option_1"] == 1 && coach1_answers_experience_option1 == 1) {
    coach1_experience1_score = 1;
} else {
    coach1_experience1_score = 0;
}
if (answers["experience_option_2"] == 1 && coach1_answers_experience_option2 == 1) {
    coach1_experience2_score = 1;
} else {
    coach1_experience2_score = 0;
}
if (answers["experience_option_3"] == 1 && coach1_answers_experience_option3 == 1) {
    coach1_experience3_score = 1;
} else {
    coach1_experience3_score = 0;
}

var coach1_experience_score = coach1_experience1_score + coach1_experience2_score + coach1_experience3_score;

//Total Score//

var coach1_score = (coach1_age_score + coach1_topics_score + coach1_industry_score + coach1_experience_score) * 10;

///EXCLUSION///

//Age//

if (answers["age_option_1"] == 1 && coach1_answers_age_option_1 == 1) {
    coach1_age_score = 1;
} else if (answers["age_option_2"] == 1 && coach1_answers_age_option_2 == 1) {
    coach1_age_score = 1;
} else if (answers["age_option_3"] == 1 && coach1_answers_age_option_3 == 1) {
    coach1_age_score = 1;
} else {
    coach1_score = -1;
}

//Language//

if (answers["language_option_1"] == 1 && coach1_answers_language_option_1 == 1 ) {
  coach1_language_score = 1;
} else if (answers["language_option_2"] == 1 && coach1_answers_language_option_2 == 1 ) {
    coach1_language_score = 1;
} else if (answers["language_option_3"] == 1 ) {
  coach1_language_score = 1;
} else {
  coach1_score = -1;
}

//Gender//

if (answers["gender"] == 3) {
    coach1_gender_score = 1;
} else if (answers["gender"] == coach1_answers_gender) {
    coach1_gender_score = 1;
} else {
    coach1_score = -1;
}

//Repeat for Coach2 and other coaches...

The goal is to have an array of scores such as:

coaches_score = [coach1_score, coach2_score, ...]

Manually repeating the comparison and exclusion blocks for each coach would be time-consuming. Is there a way to efficiently loop through this process? Your insights are greatly appreciated.

Thank you!

javascriptdictionaryfor-loop

Answer №1

I recommend optimizing the data structure by using arrays for a more iterative approach and considering grouping keys for calculating scores.

const
    calculateScore = trainer => {
        const
            score = {},
            keys1 = ['topic', 'industry', 'experience'],
            keys2 = ['age', 'language'];

        keys1.forEach(k => score[k] = trainee[k].reduce((s, v, i) => s + v * trainer[k][i], 0));

        score.totalScore = keys1.reduce((s, k) => s + score[k], 0) * 10;

        keys2.forEach(k => {
            score[k] = +trainee[k].slice(0, -1).some((v, i) => v * trainer[k][i]) || +trainer1[k][trainer[k].length - 1] || 0;
            if (!score[k]) score.totalScore = -1;
        });

        score.gender = +(trainer.gender === 3 || trainee.gender === trainer.gender)
        if (!score.gender) score.totalScore = -1;

        return score;
    },
    trainee = {
        gender: 1,
        age: [1, 1, 0, 0],
        topic: [1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1],
        industry: [1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0],
        experience: [1, 0, 1, 0, 0],
        language: [1, 0, 0]
    },
    trainer1 = {
        gender: 2,
        age: [0, 1, 0, 1],
        topic: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1],
        industry: [1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1],
        experience: [1, 1, 0, 0, 1],
        language: [1, 1, 1]
    };

console.log(calculateScore(trainer1));

Answer №2

Although the Java Script code seemed too complex for me to fully understand, I managed to make it work by tweaking it a bit. Here's what I changed:

var coach1_values = getScore(coach1)

var coach2_values = getScore(coach2)

var coach3_values = getScore(coach3);

//Adding up the values to calculate the total score\\

const sumValues = obj => Object.values(obj).reduce((a, b) => a + b);

if (coach1_values.score != -1) {
    var coach1_score = sumValues(coach1_values);
} else coach1_score = -1;

if (coach2_values.score != -1) {
    var coach2_score = sumValues(coach2_values);
} else coach2_score = -1;

if (coach3_values.score != -1) {
    var coach3_score = sumValues(coach3_values);
} else coach3_score = -1;

I'm still puzzled as to why the score becomes 110 when it matches the "geschlecht" value, but it doesn't affect the outcome since everyone receives this bonus. Thanks once again for your help!

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