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#' @details This function requires having a character vector with one or more valid Report Suites specified.
#'
#' @description Get marketing channel rules for the specified report suites.
#'
#' @title Get Marketing Channel Rules for a Report Suite(s)
#'
#' @param reportsuite.ids Report suite id (or list of report suite ids)
#'
#' @importFrom jsonlite toJSON
#' @importFrom plyr rbind.fill
#'
#' @return Data frame
#'
#' @export
#'
#' @examples
#' \dontrun{
#' expire <- GetMarketingChannelRules("your_report_suite")
#'
#' expire2 <- GetMarketingChannelRules(report_suites$rsid)
#' }
GetMarketingChannelRules <- function(reportsuite.ids) {
request.body <- c()
request.body$rsid_list <- reportsuite.ids
#Hack in locale, every method calls ApiRequest so this hopefully works
#Set encoding to utf-8 as well; if someone wanted to do base64 they are out of luck
request.body$locale <- unbox(AdobeAnalytics$SC.Credentials$locale)
request.body$elementDataEncoding <- unbox("utf8")
response <- ApiRequest(body=toJSON(request.body),func.name="ReportSuite.GetMarketingChannelRules")
#Don't even know if this is possible, holdover from GetSegments code
if(length(response$marketing_channel_rules[[1]]) == 0) {
return(print("No Rules Defined For This Report Suite"))
}
##Parsing this is a mess
gmcr <- function(response_row){
#Pull out first level
mkt_channel_rules <- response_row$marketing_channel_rules[[1]]
response_row$marketing_channel_rules <- NULL
#Group together first level
parsed <- cbind(response_row, mkt_channel_rules, row.names = NULL)
#Pull out second level
channel_value <- parsed$channel_value
parsed$channel_value <- NULL
#Group together second level
parsed <- cbind(parsed, channel_value, row.names = NULL)
#Pull out third level
rules <- parsed$rules
parsed$rules <- NULL
parsed$i <- row.names(parsed)
accumulator <- data.frame()
for(i in 1:length(rules)){
temp <- as.data.frame(rules[[i]]$rule_id)
names(temp) <- c("rule_id")
temp$i <- i
temp$hit_attribute_type <- rules[[i]]$hit_attribute$type
temp$hit_attribute_query_string_parameter <- rules[[i]]$hit_attribute$query_string_parameter
temp$operator <- rules[[i]]$operator
temp$matches <- rules[[i]]$matches
accumulator <- rbind.fill(accumulator, temp, row.names = NULL)
rm(temp)
}
parsed <- merge(parsed, accumulator, by = "i")
parsed$i <- NULL
return(parsed)
}
#With row-level parser defined above, iterate over rows
df <- data.frame()
for(i in 1:nrow(response)){
row <- response[i,]
parsedresult <- gmcr(row)
df <- rbind.fill(df, parsedresult)
rm(row, parsedresult)
}
#Such an ugly hack to format misc typed column
clean <- function(x){
if(length(x) == 0){
""
} else if(length(x) > 1) {
paste(x, collapse = ", ")
}
else {
x
}
}
df$matches <- llply(df$matches, clean)
return(df)
}
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