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'use strict';
/* Services */
app.service('pathService', function() {
var self = {
dist: function(point1, point2) {
var dx = point1.x - point2.x;
var dy = point1.y - point2.y;
return Math.sqrt(dx * dx + dy * dy);
},
computePlaylist: function(songList, constrainList, duration) {
//compute distances from the constrain path
var songListCopy = songList.slice(0);
var maxDistOverall = Number.MIN_VALUE;
angular.forEach(songListCopy, function(song){
song.selected = false;
song.minDist = Number.MAX_VALUE;
for(var i=0; i<constrainList.length;i++){
var point = constrainList[i];
var d = self.dist(song, point);
if(d < song.minDist){
song.minDist = d;
song.closest = point;
song.closestIndex = i;
}
}
if(song.minDist > maxDistOverall){
maxDistOverall = song.minDist;
}
});
//select the songs
var selection = [];
var tuning = .5;
angular.forEach(songListCopy, function(song){
song.rand = (tuning + tuning*Math.random())*song.minDist;
});
songListCopy.sort(function(a,b){return a.rand-b.rand;});
//take from the sorted list util we reach the desired duration
while(duration > 0 && songListCopy.length > 0){
var removed = songListCopy.splice(0, 1);
selection.push(removed[0]);
duration -= 10;
removed[0].selected = true;
}
selection.sort(function(a,b){ return a.closestIndex-b.closestIndex;});
//clean points
angular.forEach(songList, function(song) {
delete song.minDist;
delete song.closest;
delete song.closestIndex;
delete song.rand;
});
return selection;
}
};
return self;
});
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