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#' Get All Categories and Events for a List of Product Ids
#'
#' Returns all of the unique categories and events (basic and advanced)
#' for each product id.
#'
#' It is not recommended that your username be stored directly in your
#' code. There are various methods and packages available that are more
#' secure; this package does not require you to use any one in particular.
#'
#' @param rev_product_ids A vector of revulytics product id's for which
#' you want active user data.
#' @param rev_session_id Session ID established by the connection to
#' Revulytics API. This can be obtained with revulytics_auth().
#' @param rev_username Revulytics username.
#'
#' @import dplyr
#' @importFrom magrittr "%>%"
#' @importFrom purrr "map_dfr"
#' @import httr
#' @import jsonlite
#'
#' @return Data frame with categories, events and event type by product id.
#'
#' @export
#'
#' @examples
#' \dontrun{
#' rev_user <- "my_username"
#' rev_pwd <- "super_secret"
#' product_ids_list <- c("123", "456", "789")
#' session_id <- revulytics_auth(rev_user, rev_pwd)
#' category_event <- get_categories_and_events(product_ids_list, session_id, rev_user)
#' }
get_categories_and_events <- function(rev_product_ids, rev_session_id, rev_username) {
get_by_product <- function(x) {
request_body <- list(
user = rev_username,
sessionId = rev_session_id,
productId = x,
showEvents = array("all")
)
body <- jsonlite::toJSON(request_body, auto_unbox = TRUE)
request <- httr::RETRY("POST",
url = "https://api.revulytics.com/eventTracking/listEventNames",
body = body,
encode = "json",
times = 4,
pause_min = 10,
terminate_on = NULL,
terminate_on_success = TRUE,
pause_cap = 5)
check_status(request)
request_content <- httr::content(request, "text", encoding = "ISO-8859-1")
content_json <- jsonlite::fromJSON(request_content, flatten = TRUE)
parse_json_into_df <- function(x){
category_name <- content_json$results$category[x]
event_name <- as.data.frame(content_json$results$categoryEventNames[x]) %>%
cbind(category_name) %>%
mutate(category_name = as.character(.data$category_name))
}
category_event <- purrr::map_dfr(1:length(content_json$results$category), parse_json_into_df) %>%
mutate(event_type = case_when(
.data$advanced ~ "ADVANCED",
.data$basic ~ "BASIC",
TRUE ~ "INACTIVE"),
date_first_seen = as.Date(.data$dateFirstSeen),
revulytics_product_id = x) %>%
select(.data$revulytics_product_id, .data$category_name, .data$eventName, .data$event_type, .data$date_first_seen) %>%
rename(event_name = .data$eventName)
}
category_event_by_prod <- purrr::map_dfr(rev_product_ids, get_by_product)
return(category_event_by_prod)
}
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