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# Load Shiny
library(shiny)

# Define server logic required to request summary data from Adobe Analytics
shinyServer(function(input, output) {

  # Load RSiteCatalyst
  library("RSiteCatalyst")

    # Listen for a click on the 'Get Report Suite Summary' button

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#import the pandas library
import pandas as pd

#pull adobe report download into a dataframe; ignorning the comment header
df = pd.read_csv("/Users/jasonthompson/Documents/analysis/python/sp/adobe_id.csv", comment="#", header=1)

#export cleaned data to a new csv file
df.to_csv("/Users/jasonthompson/Documents/analysis/python/sp/adobe_id_no-comments.csv", encoding='utf-8')

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/*YouTube Player updates required by Adobe Video Tracking module */
var n=0;

jQuery('iframe').each(function() {
 
 var src = jQuery(this).attr('src');
 
if(src){
	if (src.indexOf('youtube.com') > -1) {
     

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/* Media Module Config */
s.enableVideoTracking=true
if(s.enableVideoTracking){
s.loadModule('Media');
s.Media.autoTrack=false;
s.Media.playerName='YouTube';
s.Media.segmentByMilestones=true;
s.Media.trackMilestones='25,50,75';
s.Media.trackUsingContextData=true;
s.Media.contextDataMapping = {

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/* Loads IFrame Player API Code asynchronously */
var tag = document.createElement('script');
tag.src = "https://www.youtube.com/iframe_api";
var firstScriptTag = document.getElementsByTagName('script')[0];
firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);

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/* YouTube Player Mapping (https://developers.google.com/youtube/iframe_api_reference) */
var playerInfoList=new Array();
$("[id^='player']").each(function(){
 var player=$(this).attr('id');
 playerInfoList.push(player);
});
var players=new Array();
window.onYouTubeIframeAPIReady = function() {
 for(x=0;x<playerInfoList.length;x++){
 players[x] = new YT.Player(playerInfoList[x], {

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/*
* Media Module
*/
function AppMeasurement_Module_Media(q){var
b=this;b.s=q;q=window;q.s_c_in||(q.s_c_il=[],q.s_c_in=0);b._il=q.s_c_il;b._in=q.s_c_in;b._il[b._in]
=b;q.s_c_in++;b._c="s_m";b.list=[];b.open=function(d,c,e,k){var f={},a=new Date,l="",g;c||(c=-
1);if(d&&e){b.list||(b.list={});b.list[d]&&b.close(d);k&&k.id&&(l=k.id);if(l)for(g in
b.list)!Object.prototype[g]&&b.list[g]&&b.list[g].R==l&&b.close(b.list[g].name);f.name=d;f.length=c
;f.offset=0;f.e=0;f.playerName=b.playerName?b.playerName:e;f.R=l;f.C=0;f.a=0;f.timestamp=
Math.floor(a.getTime()/1E3);f.k=0;f.u=f.timestamp;f.c=-1;f.n="";f.g=-

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/*YouTube Player updates required by Adobe Video Tracking module */
var n=0;

jQuery('iframe').each(function() {
 
 var src = jQuery(this).attr('src');
 
if(src){
	if (src.indexOf('youtube.com') > -1) {
     

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#import the pandas library
import pandas as pd

#pull adobe report download into a dataframe; ignorning the comment header
df = pd.read_csv("/Users/jasonthompson/Documents/analysis/python/sp/adobe_id.csv", comment="#", header=1)

#export cleaned data to a new csv file
df.to_csv("/Users/jasonthompson/Documents/analysis/python/sp/adobe_id_no-comments.csv", encoding='utf-8')

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for (var i = 0; i < dataLayer.transaction.item.length; i++) {
 
  var payType = dataLayer.transaction.total.paymentMethods[i].paymentMethod;

  switch(payType) {
      case "CREDIT_CARD":
          s.eVar45 = dataLayer.transaction.total.paymentMethods[i].paymentMethod;
          s.events += ",event27";
          break;
      case "PAYPAL":