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#' Get Active Users by Product ID and Various Date Spans
#'
#' For a given period of time (a day, week, or month) Revenera' API
#' summarizes and returns the number of active users. With this function
#' you can return daily, weekly, or monthly active users for multiple
#' product ids.
#'
#' You can specify a start and end date but Revenera does not store
#' an indefinite period of historical data. In my experience this is
#' three years but I do not know if this varies on a product or client
#' level.
#'
#' 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 Revenera product id's for which
#' you want active user data.
#' @param rev_date_type Level of aggregation, Revenera will accept
#' "day", "week", or "month".
#' @param rev_start_date Date formatted YYYY-MM-DD. Revenera may give
#' an error if you try to go back too far.
#' @param rev_end_date Date formatted YYYY-MM-DD.
#' @param rev_session_id Session ID established by the connection to
#' Revenera API. This can be obtained with revenera_auth().
#' @param rev_username Revenera username.
#'
#' @import dplyr
#' @importFrom magrittr "%>%"
#' @importFrom purrr "map_dfr"
#' @import httr
#' @import jsonlite
#'
#' @return Data frame with active users for each product id and
#' unique date within the range
#'
#' @export
#'
#' @examples
#' \dontrun{
#' rev_user <- "my_username"
#' rev_pwd <- "super_secret"
#' product_ids_list <- c("123", "456", "789")
#' start_date <- lubridate::floor_date(Sys.Date(), unit = "months") - months(6)
#' end_date <- Sys.Date() - 1
#' session_id <- revenera_auth(rev_user, rev_pwd)
#' monthly_active_users <- get_active_users(
#' product_ids_list,
#' "month",
#' start_date,
#' end_date,
#' session_id,
#' rev_user
#' )
#' }
#'
get_active_users <- function(rev_product_ids, rev_date_type, rev_start_date,
rev_end_date, rev_session_id, rev_username) {
. <- NA # prevent variable binding note for the dot
get_by_product <- function(x, rev_date_type) {
request_body <- list(
user = rev_username,
sessionId = rev_session_id,
productId = x,
startDate = rev_start_date,
stopDate = rev_end_date,
dateSplit = rev_date_type,
clientStatus = array("active")
)
request <- httr::RETRY("POST",
url = paste0(
"https://api.revulytics.com/",
"reporting/generic/dateRange?responseFormat=raw"
),
body = request_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)
iteration_df <- as.data.frame(unlist(content_json$results)) %>%
cbind(rownames(.)) %>%
dplyr::rename(active_user_date = 2, active_users = 1) %>%
dplyr::mutate(
active_user_date = as.Date(substr(
.data$active_user_date,
1, 10
)),
revenera_product_id = x
)
rownames(iteration_df) <- NULL
return(iteration_df)
}
df <- purrr::map_dfr(rev_product_ids, get_by_product, rev_date_type)
return(df)
}
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