Score Generation - Meetings

scoregen.js

var tr = require('transduce');
var R = require('ramda');

var Delegates = [
	{ 'name': 'John', likes: ['Cars','Computers']},
  { 'name': 'Lisa', likes: ['Internet']},
  { 'name': 'Amy', likes: []}
];

var Suppliers = [
	{ company: 'Google', likes: ['Internet']},
  { company: 'Tesla', likes: ['Cars'] }
]

// Create Scores

// 1) Find similar Likes
var AllAttendees = Delegates.concat(Suppliers);

var AllAttendeeLikes = tr.into([], tr.cat, AllAttendees.map(function(attendee) {
	return attendee.likes.map(function(like) {
    return {
      attendee: (attendee.company) ? attendee.company : attendee.name,
      like: like,
      type: (attendee.company) ? 'supplier' : 'delegate'
    }
  });
}));

var AllLikes = R.uniq(tr.into([], tr.cat, AllAttendees.map(function(attendee) {
	return attendee.likes;
})));

var CommonLikes = tr.into([], AllLikes.map(function(like) {
  return AllAttendeeLikes.filter(function(attendee) {
    return attendee.like === like;
  });
}));

// var ConnectedAttendees = Delegates.map(function(delegate) {
//   return Suppliers.map(function(supplier) {
//     return AllLikes.map(function(like) {
//       return (delegate.likes.indexOf(like) > -1) && (supplier.likes.indexOf(like) > -1)
//     });
//   });
// });

var flatten = function(array) {
  return R.flatten(array);
}

var ConnectedAttendees = function(Delegates, Suppliers) {
  return Delegates.map(function(delegate) {
    return Suppliers.map(function(supplier){
      var likes = R.intersection(delegate.likes, supplier.likes);
      return obj = {
        delegate: delegate.name,
        supplier: supplier.company,
        likes: likes,
        score: likes.length
      }
    });
  });
}

var NumberOfMutualLikesOver = function(array, num) {
  return R.filter(function(match) {
    return match.likes.length > num;
  }, array);
}

var Score = NumberOfMutualLikesOver(flatten(ConnectedAttendees(Delegates, Suppliers)), 0);


// What if the attendee has no likes


console.log(Score);