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RUpclick.R
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RUpclick.R
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getMD5Hash <- function (textToHash) {
if (!require("digest")) install.packages("digest", repos='http://cran.rstudio.com/')
stopifnot(library(digest, logical.return = TRUE))
raw <- iconv(textToHash, from = "", to = "UTF-16LE", toRaw = TRUE)[[1]]
hash <- toupper(digest(raw, "md5", serialize = FALSE))
return(hash)
rm(raw, hash)
}
tokenGenerator <- function (merchantUID, merchantPassword, method1, method2) {
if (!require("base64enc")) install.packages("base64enc", repos='http://cran.rstudio.com/')
stopifnot(library(base64enc, logical.return = TRUE))
# UTC timestamp
# ToString(DateTimeAdd(DateTimeFormat(DateTimeToUTC(DateTimeNow()), "%Y-%m-%d %H:%M:%S"),-1,"hours"),0) + ".214"
timestamp <- format(Sys.time() - 3600, tz = "GMT", format = "%Y-%m-%d %H:%M:%OS3", usetz = FALSE)
# UpperCase(MD5_UNICODE(ToString([merchantPassword])))
# 3D961441DD87BEB66294D32B94860BCA
merchantPasswordHash <- getMD5Hash(merchantPassword)
merchantPasswordTimestampMethods <- paste0(merchantPasswordHash, timestamp, method1, ".", method2)
merchantPasswordTimestampMethodsHash <- getMD5Hash(merchantPasswordTimestampMethods)
# ToString([merchantUID],0)+"|"+[timestamp]+"|"+Uppercase(MD5_UNICODE([merchantPasswordHashUNICODE]+[timestamp]+[method1]+"."+[method2]))
# 1018838|2015-11-19 00:57:10.214|AE7D7BE6E86058E6D35B29A5226FCB9B
pre.token <- paste(merchantUID,
timestamp,
merchantPasswordTimestampMethodsHash,
sep = "|")
token <- base64encode(charToRaw(pre.token))
return(token)
rm(timestamp, merchantPassword, merchantPasswordTimestampMethods, merchantPasswordTimestampMethodsHash, pre.token, token)
}
getRegisteredAffiliates <- function (merchantUID, merchantPassword) {
if (!require("httr")) install.packages("httr")
stopifnot(library(httr, logical.return = TRUE))
if (!require("jsonlite")) install.packages("jsonlite")
stopifnot(library(jsonlite, logical.return = TRUE))
method1 <- "affiliateoffers"
method2 <- "registeredaffiliates"
methods <- paste0("/", method1, "/", method2)
report <- NULL
for(m in 1:length(merchantUID)) {
print(paste0("Fetching ", method2, " for merchant ", merchantUID[m]))
Sys.sleep(15)
token <- tokenGenerator(merchantUID[m], merchantPassword[m], method1, method2)
# encode strings used for building the URL
token <- URLencode(as.character(token))
# compose URL
# it should look like this:
# https://rest.upclick.com/MTAxODgzOHwyMDE1LTExLTEyIDE0OjEwOjQ2LjE3MXw2MUJCQTU4MDU5NDE2RTBCQkUwQUNGNUQ0QkU0QUNBMw==/reports/transactions?startdate=11%2F10%2F2015+00%3A00%3A00&enddate=11%2F10%2F2015+23%3A59%3A59
url <- NULL
url <- paste0("https://rest.upclick.com/",
token,
methods)
print(paste0(Sys.time(), " calling ", url))
# parse JSON
temp <- fromJSON(url)
# return on error
if(!is.null(temp$reports_affiliateoverview$errors)) {
print(paste0("Error type: ", temp$reports_affiliateoverview$errors$type))
print(paste0("Error message: ", temp$reports_affiliateoverview$errors$string))
return("error")
}
# following should correspond to JSON structure for the chosen method
temp <- temp$affiliateoffers_registeredaffiliates$affiliate
# when the report contains only one observation,
# fromJSON() returns list instead of data frame
# when an object from that list is NULL, casting the list to a data frame does not work
# replacing the NULL objects with "N/A" string resolves the problem
if(class(temp) == "list") {
for(n in 1:length(temp)) {
if(is.null(temp[[n]])) {
temp[[n]] <- "N/A"
}
}
temp <- data.frame(temp)
}
if(!is.null(temp)) {
temp$merchantUID <- merchantUID[m]
report <- rbind(report, temp)
}
}
return(report)
rm(method1, method2, methods, token, url, report, temp)
}
getReportsTransactions <- function (merchantUID, merchantPassword, date) {
Sys.sleep(15)
if (!require("httr")) install.packages("httr")
stopifnot(library(httr, logical.return = TRUE))
if (!require("jsonlite")) install.packages("jsonlite")
stopifnot(library(jsonlite, logical.return = TRUE))
method1 <- "reports"
method2 <- "transactions"
print(paste0("Fetching ", method2, " for merchant ", merchantUID, " for ", date))
methods <- paste0("/", method1, "/", method2)
token <- tokenGenerator(merchantUID, merchantPassword, method1, method2)
# create the date-time variables in a format requried by API
from.datetime <- format(date, "%m/%d/%Y %H:%M:%S")
to.datetime <- format(date + 1, "%m/%d/%Y %H:%M:%S")
# encode strings used for building the URL
token <- URLencode(as.character(token))
from.encoded <- URLencode(as.character(from.datetime))
to.encoded <- URLencode(as.character(to.datetime))
# compose URL
# it should look like this:
# https://rest.upclick.com/MTAxODgzOHwyMDE1LTExLTEyIDE0OjEwOjQ2LjE3MXw2MUJCQTU4MDU5NDE2RTBCQkUwQUNGNUQ0QkU0QUNBMw==/reports/transactions?startdate=11%2F10%2F2015+00%3A00%3A00&enddate=11%2F10%2F2015+23%3A59%3A59
url <- NULL
url <- paste0("https://rest.upclick.com/",
token,
methods,
"?startdate=", from.encoded,
"&enddate=", to.encoded)
# download JSON
fileName <- paste0("O:/Lulu DWH/External Data Integration/raw-data/Upclick/upclick_",
method1, "_", method2, "_", merchantUID, "_", date,".json")
response <- NULL
print(paste0(Sys.time(), " calling ", url))
response <- GET(url)
if(!http_error(response)) {
if(file.exists(fileName)) {
unlink(fileName)
}
writeBin(content(response, "raw"), fileName)
}
# parse JSON
report <- NULL
options(encoding = "UTF-8")
report <- fromJSON(fileName)
# return on error
if(!is.null(report$reports_transactions$errors)) {
print(paste0("Error type: ", report$reports_transactions$errors$type))
print(paste0("Error message: ", report$reports_transactions$errors$string))
return("error")
}
# following should correspond to JSON structure for the chosen method
if(!is.null(report$reports_transactions)) {
report <- report$reports_transactions$transactionreport
report$TransactionDate <- as.Date(report$TransactionDate)
report$Firstname <- gsub(pattern = "(^.{200}).*", replacement = "\\1", x = report$Firstname)
report$Lastname <- gsub(pattern = "(^.{200}).*", replacement = "\\1", x = report$Lastname)
report$merchantUID <- merchantUID
# Temporary workaround until support for the new field "UpClickReferenceID" is added in the DB
report$UpClickReferenceID <- NULL
}
# when the report contains only one observation,
# fromJSON returns list instead of data frame
# when an object from that list is NULL, casting the list to a data frame does not work
# replacing the NULL objects with "N/A" string resolves the problem
if(class(report) == "list") {
for(n in 1:length(report)) {
if(is.null(report[[n]])) {
report[[n]] <- "N/A"
}
}
report <- data.frame(report)
}
return(report)
}
outersect <- function(x, y) {
sort(c(setdiff(x, y),
setdiff(y, x)))
}
addCalculatedFields <- function(x) {
# --------------- PRODUCT BRAND -------------------------------
x$Product.Brand <- "others"
repl <- c("soda", "architect", "pdf suite", "fixio")
check <- c("soda|online",
"architect|forge",
"suite",
"fixio")
for(i in 1:length(check)) {
x$Product.Brand[regexpr(check[i], x$ProductTitle, ignore.case=TRUE, perl=TRUE) > -1 & x$Product.Brand == "others"] <- repl[i]
}
#---------------- PRODUCT CATEGORY ---------------------------------------------
x$Product.Category <- "others"
repl <- c("pdf", "pc utility")
check <- c("soda|online|architect|forge|suite|pdf",
"pc|fixio")
for(i in 1:length(check)) {
x$Product.Category[regexpr(check[i], x$ProductTitle, ignore.case=TRUE, perl=TRUE) > -1 & x$Product.Category == "others"] <- repl[i]
}
#---------------- PRODUCT GROUP ---------------------------------------------
x$Product.Group <- "others"
repl <- c("soda 5", "soda 6", "soda 7", "soda 8", "soda 9", "soda 3d", "soda others",
"architect 2", "architect 3", "architect 4", "architect others",
"pdf suite 2014", "pdf suite 2015", "pdf suite 2016","pdf suite others",
"fixio cleaner", "fixio optimizer", "fixio driver finder", "fixio others",
"pc utility", "other pdf", "support", "online services")
check <- c("(?=.*soda)(?=.*5)",
"(?=.*soda)(?=.*6)",
"(?=.*soda)(?=.*7)",
"(?=.*soda)(?=.*8)",
"(?=.*soda)(?=.*(home|premium|business|9|anywhere|e\\-sign))",
"(?=.*soda)(?=.*3d)",
"soda",
"(?=.*architect)(?=.*2)",
"(?=.*architect)(?=.*3)",
"(?=.*architect)(?=.*4)",
"architect",
"(?=.*suite)(?=.*2014)",
"(?=.*suite)(?=.*2015)",
"(?=.*suite)(?=.*2016)",
"suite",
"(?=.*fixio)(?=.*cleaner)",
"(?=.*fixio)(?=.*optimizer)",
"(?=.*fixio)(?=.*driver)",
"fixio",
"pc|maximizer|quad|virus|backup|back\\-up|protection|optimizer|plugin|accelerator",
"pdf",
"1 year|6 month|1 yr|support|jahr|monate",
"online service")
for(i in 1:length(check)) {
x$Product.Group[regexpr(check[i], x$ProductTitle, ignore.case = TRUE, perl = TRUE) > -1 & x$Product.Group == "others"] <- repl[i]
}
#------------ CMP GROUP -----------------------------------------------------
x$Cmp.Group <- 'others'
repl <- c("freecreator", "editor", "creator", "converter", "professional", "reader", "writer", "sodapdf", "organic", "direct", "shell", "default", "pdfmerge", "doc2pdf", "pdf", "fpc", "pdfsam", "winzip", "pdftoword", "sumatrapdf", "3d", "download_com", "frams", "bullzip", "pc", "softonic")
check <- c("freecreator",
"editor",
"creator",
"converter",
"profesionnal",
"reader",
"writer",
"sodapdf",
"organic",
"direct",
"shell",
"default",
"pdfmerge",
"doc2pdf",
"_pdf",
"fpc",
"pdfsam",
"winzip",
"pdftoword",
"sumatrapdf",
"_3d_",
"download_com",
"frams",
"bullzip",
"pc_",
"softonic")
for(i in 1:length(check)) {
x$Cmp.Group[regexpr(check[i], x$cmp, ignore.case = TRUE, perl = TRUE) > -1 & x$Cmp.Group == "others"] <- repl[i]
}
#------------------------- CMP TRAFFIC SOURCE -------------------------------------------------------
x$Cmp.Traffic.Source <- "others"
repl <- c("google",
"bing",
"organic",
"direct",
"default",
"shell",
"pdfmerge",
"pdfsam",
"doc2pdf",
"softonic",
"aed",
"cnet")
check <- c("_g_",
"_m_|_msn_",
"organic",
"direct",
"default|N/A",
"shell",
"pdfmerge",
"pdfsam",
"doc2pdf",
"softonic",
"aed",
"cnet")
for(i in 1:length(check)) {
x$Cmp.Traffic.Source[regexpr(check[i], x$cmp, ignore.case = TRUE, perl = TRUE) > -1 & x$Cmp.Traffic.Source == "others"] <- repl[i]
}
#---------------------------- CHANNELS --------------------------------------------------------------
x$channels <- "others"
# email
x$channels[regexpr('go\\.|get(\\-)?pdf|fixiodriverfinder', x$website, ignore.case = TRUE, perl = TRUE) > -1] <- "email"
# partners
x$channels[regexpr("merge|sam|mediaph|ashampoo|softmaker|redbrickmedia|winzip|
lu150501avi|wattblicker|meltconsultancy|techlazy|pdfburger|pdfaid|go4convert|
docspal|ppc_fr_try|ppc_de_try", x$cmp, ignore.case = TRUE, perl = TRUE) > -1
& x$channels == "others" ] <- "partners"
# ppc
x$channels[regexpr("pdf_|fpc|pc_|dls|freelistingpro|softonic|fixio", x$cmp, ignore.case = TRUE, perl = TRUE) > -1
| regexpr("/ppc/|windows|fixio|mypcutility", x$website, ignore.case = TRUE, perl = TRUE) > -1
| (regexpr("pdf\\-suite", x$website, ignore.case = TRUE, perl = TRUE) > -1
& regexpr("default|free", x$cmp, ignore.case = TRUE, perl = TRUE) > -1)
| regexpr("pdf\\-suite\\.com/ppc/media/au", x$website, ignore.case = TRUE, perl = TRUE) > -1
| (regexpr("pdf\\-format\\.com/uc", x$website, ignore.case = TRUE, perl = TRUE) > -1
& regexpr("default", x$cmp, ignore.case = TRUE, perl = TRUE) > -1)
|regexpr("pdf\\-reader\\-creator\\.com|pdfsuite\\.de|sodapdf\\.de", x$website, ignore.case = TRUE, perl = TRUE) > -1
& x$channels == "others"] <- "ppc"
#organic
x$channels[regexpr("organic", x$cmp, ignore.case = TRUE, perl = TRUE) > -1
& x$channels == "others"] <- "organic"
#shell
x$channels[regexpr("shell", x$cmp, ignore.case = TRUE, perl = TRUE)>-1
& x$channels == "others" ] <- "shell"
# online sales
x$channels[regexpr("direct", x$cmp, ignore.case = TRUE, perl = TRUE) > -1
& regexpr("sodapdf\\.com|pdf\\-suite\\.com", x$website, ignore.case = TRUE, perl = TRUE) > -1
& x$channels == "others" ] <- "online sales"
# doc2pdf
x$channels[regexpr("doc2pdf", x$cmp, ignore.case = TRUE, perl = TRUE) > -1
& x$channels == "others" ] <- "doc2pdf"
#support
x$channels[regexpr("support", x$cmp, ignore.case = TRUE, perl = TRUE) > -1
& x$channels == "others"] <- "support"
#toolbars
x$channels[regexpr("toolbar", x$cmp, ignore.case = TRUE, perl = TRUE) > -1
& x$channels == "others"] <- "toolbars"
#--------- AD DISTRIBUTION ----------------------------------------------------------------
x$AdDistribution <- "others"
repl <- c("search", "content")
check <- c(".*_(s(_.*)?$|search).*",".*_(c(_.*)?$|cont).*")
for(i in 1:length(check)) {
x$AdDistribution[regexpr(check[i], x$cmp, ignore.case = TRUE, perl = TRUE) > -1 & x$AdDistribution == "others"] <- repl[i]
}
#------------------ AdPlatform --------------------------------------------------------------------
x$AdPlatform <- "others"
repl <- c("adwords", "bing")
check <- c(".*_g_.*",".*_((m|y)(_.*)?$|msn).*")
for(i in 1:length(check)){
x$AdPlatform[regexpr(check[i], x$cmp, ignore.case = TRUE, perl = TRUE) > -1 & x$AdPlatform == "others"] <- repl[i]
}
#------------------- COUNTRIES ---------------------------------------------------------------
x$Uc.Cmp.Market <- "others"
check <- c("_us_", "_uk_", "_aus_", "_can_", "_row_", "_it_", "_fr_|_fra_|otherfra", "_br_|_pt_", "_ch_|_de_", "_es_|_sp_","_ru_")
repl <- c("us", "uk", "aus", "can", "row", "it", "fr", "pt", "de", "es", "ru")
for(i in 1:length(check)) {
x$Uc.Cmp.Market[regexpr(check[i], x$cmp, ignore.case = TRUE, perl = TRUE) > -1 & x$Uc.Cmp.Market == "others"] <- repl[i]
}
return(x)
}
getReportsAffiliateoverview <- function (merchantUID, merchantPassword, date) {
Sys.sleep(15)
if (!require("httr")) install.packages("httr")
stopifnot(library(httr, logical.return = TRUE))
if (!require("jsonlite")) install.packages("jsonlite")
stopifnot(library(jsonlite, logical.return = TRUE))
method1 <- "reports"
method2 <- "affiliateoverview"
print(paste0("Fetching ", method2, " for merchant ", merchantUID, " for ", date))
methods <- paste0("/", method1, "/", method2)
token <- tokenGenerator(merchantUID, merchantPassword, method1, method2)
# create the date-time variables in a format requried by API
from.datetime <- format(date, "%m/%d/%Y %H:%M:%S")
to.datetime <- format(date + 1, "%m/%d/%Y %H:%M:%S")
# encode strings used for building the URL
token <- URLencode(as.character(token))
from.encoded <- URLencode(as.character(from.datetime))
to.encoded <- URLencode(as.character(to.datetime))
# compose URL
# it should look like this:
# https://rest.upclick.com/MTAxODgzOHwyMDE1LTExLTEyIDE0OjEwOjQ2LjE3MXw2MUJCQTU4MDU5NDE2RTBCQkUwQUNGNUQ0QkU0QUNBMw==/reports/transactions?startdate=11%2F10%2F2015+00%3A00%3A00&enddate=11%2F10%2F2015+23%3A59%3A59
url <- NULL
url <- paste0("https://rest.upclick.com/",
token,
methods,
"?startdate=", from.encoded,
"&enddate=", to.encoded)
print(paste0("Calling ", url))
# download JSON
fileName <- paste0("O:/Lulu DWH/External Data Integration/raw-data/Upclick/upclick_",
method1, "_", method2, "_", merchantUID, "_", date,".json")
response <- NULL
response <- GET(url)
if(!http_error(response)) {
if(file.exists(fileName)) {
unlink(fileName)
}
writeBin(content(response, "raw"), fileName)
}
rm(response)
# parse JSON
report <- NULL
options(encoding = "UTF-8")
report <- fromJSON(fileName)
# return on error
if(!is.null(report$reports_affiliateoverview$errors)) {
print(paste0("Error type: ", report$reports_affiliateoverview$errors$type))
print(paste0("Error message: ", report$reports_affiliateoverview$errors$string))
return("error")
}
# following should correspond to JSON structure for the chosen method
if(!is.null(report$reports_affiliateoverview)) {
report <- report$reports_affiliateoverview$affiliatereport
report$DayOfTheMonth <- as.Date(report$DayOfTheMonth)
report$merchantUID <- merchantUID
}
# when the report contains only one observation,
# fromJSON returns list instead of data frame
# when an object from that list is NULL, casting the list to a data frame does not work
# replacing the NULL objects with "N/A" string resolves the problem
if(class(report) == "list") {
for(n in 1:length(report)) {
if(is.null(report[[n]])) {
report[[n]] <- "N/A"
}
}
report <- data.frame(report)
}
return(report)
}
importReportsAffiliateoverview <- function (merchants, dates) {
if (!require("jsonlite")) install.packages("jsonlite")
stopifnot(library(jsonlite, logical.return = TRUE))
import <- NULL
for(m in 1:length(merchants)) {
for(d in 1:length(dates)) {
import <- rbind(import,
data.frame(file = paste0("O:/Lulu DWH/External Data Integration/raw-data/Upclick/upclick_reports_affiliateoverview_",
merchants[m], "_", dates[d], ".json"),
merchantUID = merchants[m],
stringsAsFactors = FALSE))
}
}
print(paste0("Importing from ", paste0(import$file, collapse = ", ")))
# parse JSON
options(encoding = "UTF-8")
report <- NULL
for(i in 1:nrow(import)) {
temp <- fromJSON(import$file[i])
# following should correspond to JSON structure for the chosen method
if(!is.null(temp$reports_affiliateoverview)) {
temp <- temp$reports_affiliateoverview$affiliatereport
temp$DayOfTheMonth <- as.Date(temp$DayOfTheMonth)
temp$merchantUID <- import$merchantUID[i]
report <- rbind(report, temp)
}
}
return(report)
}
importReportsTransactions <- function (merchants, dates) {
if (!require("jsonlite")) install.packages("jsonlite")
stopifnot(library(jsonlite, logical.return = TRUE))
import <- NULL
for(m in 1:length(merchants)) {
for(d in 1:length(dates)) {
import <- rbind(import,
data.frame(file = paste0("O:/Lulu DWH/External Data Integration/raw-data/Upclick/upclick_reports_transactions_",
merchants[m], "_", dates[d], ".json"),
merchantUID = merchants[m],
stringsAsFactors = FALSE))
}
}
# parse JSON
print(paste0("Importing from ", paste0(import$file, collapse = ", ")))
options(encoding = "UTF-8")
report <- NULL
for(i in 1:nrow(import)) {
temp <- fromJSON(import$file[i])
# following should correspond to JSON structure for the chosen method
if(!is.null(temp$reports_transactions)) {
temp <- temp$reports_transactions$transactionreport
temp$TransactionDate <- as.Date(temp$TransactionDate)
temp$Firstname <- gsub(pattern = "(^.{200}).*", replacement = "\\1", x = temp$Firstname)
temp$Lastname <- gsub(pattern = "(^.{200}).*", replacement = "\\1", x = temp$Lastname)
temp$merchantUID <- import$merchantUID[i]
# Temporary workaround until support for the new field "UpClickReferenceID" is added in the DB
temp$UpClickReferenceID <- NULL
report <- rbind(report, temp)
}
}
# when the report contains only one observation,
# fromJSON returns list instead of data frame
# when an object from that list is NULL, casting the list to a data frame does not work
# replacing the NULL objects with "N/A" string resolves the problem
if(class(report) == "list") {
for(n in 1:length(report)) {
if(is.null(report[[n]])) {
report[[n]] <- "N/A"
}
}
report <- data.frame(report)
}
return(report)
}
setwd("O:/Lulu DWH/External Data Integration")
from.date <- as.Date(Sys.Date()-3)
to.date <- as.Date(Sys.Date())
merchant <- c("LULU Software" ,"Interactive Brands")
merchantUID <- c("", "")
merchantPWD <- c("", "")
transactions <- NULL
affiliateoverview <- NULL
for (j in 1:length(merchantUID)) {
# get affiliates
aff <- getRegisteredAffiliates(merchantUID = merchantUID[j], merchantPassword = merchantPWD[j])
aff <- aggregate(ID ~ UID + Username, data = aff, FUN = length)[, c("UID", "Username")]
aff$UID <- paste0("A", aff$UID)
# loop through each day between "from.date" and "to.date"
new.date <- from.date
while(new.date <= to.date) {
#------------------- transactions ----------------------------
repeat{
report <- getReportsTransactions(merchantUID = merchantUID[j],
merchantPassword = merchantPWD[j],
date = new.date)
if(class(report) == "data.frame") {
break
}
Sys.sleep(60)
}
if(!is.null(report)) {
# map affiliates
report <- merge(x = report,
y = aff,
by.x = "Affiliate",
by.y = "UID",
all.x = TRUE)
names(report)[names(report) == "Username"] <- "AffiliateName"
# add calculated fields
report <- addCalculatedFields(report)
transactions <- rbind(transactions, report)
}
#------------------- affiliateoverview ----------------------------
repeat{
report <- getReportsAffiliateoverview(merchantUID = merchantUID[j],
merchantPassword = merchantPWD[j],
date = new.date)
if(class(report) == "data.frame") {
break
}
Sys.sleep(60)
}
if(!is.null(report)) {
affiliateoverview <- rbind(affiliateoverview, report)
}
# increment "from.date"
new.date <- new.date + 1
}
}
# needed for SSIS
column_order <- c("TransactionType", "TransactionDate", "GlobalOrderID", "IP", "Firstname", "Lastname", "Email", "CountryISO",
"CurrencyISO", "Culture", "Address", "Zip", "StateISO", "City", "ProductID", "mSKU", "BaseProductID",
"ProductTitle", "ProductPrice", "ProductPriceUSD", "ProductLevel", "Quantity", "LicenseType", "LicenseKey",
"Affiliate", "affkey1", "affkey2", "cmp", "key1", "key2", "Ref", "Referrer", "PayType", "Em", "NextRebillDate",
"TaxAmount", "TaxAmountUSD", "TaxName", "TaxType", "B2BCompanyName", "B2BCompanyTaxNumber", "Fees", "merchantUID",
"Product.Brand", "Product.Category", "Product.Group", "Cmp.Group", "Cmp.Traffic.Source", "channels", "AdDistribution",
"AdPlatform", "Uc.Cmp.Market", "AffiliateName")
write.csv(x = transactions[, column_order], file = "upclick_transactions.csv",
row.names = FALSE, fileEncoding = "UTF-8")
write.csv(x = affiliateoverview, file = "upclick_affiliateoverview.csv",
row.names = FALSE, fileEncoding = "UTF-8")