#' Get Course Paths
#'
#' Returns a data.frame with all paths and the items in those paths.
#'
#' Utilizing the API requires a token. This must be obtained by logging in
#' at dashboard.skilljar.com and going to Organization -> API Credentials.
#' There are different strategies for storing api tokens securely. It is
#' an unnecessary risk to store the token in the script!
#'
#' @param api_token Your personalized token provided by 'Skilljar'
#'
#' @import httr
#' @import dplyr
#' @importFrom magrittr "%>%"
#' @importFrom purrr "map_dfr"
#' @import jsonlite
#'
#' @return A data frame with users and user data
#'
#' @seealso See \url{https://api.skilljar.com/docs/} for documentation on
#' the 'Skilljar' API.
#'
#' @export
#'
#' @examples
#' \dontrun{
#' # Get course progress data
#' paths <- get_course_paths(api_token = "my-token")
#' }
get_course_paths <- function(api_token){
token <- jsonlite::base64_enc(api_token)
# get the paths first
api_path <- paste0("https://api.skilljar.com/v1/paths")
get_results <- httr::GET(api_path, httr::add_headers(
"Authorization" = paste("Basic", gsub("\n", "", token)),
"Content-Type" = "application/x-www-form-urlencoded;charset=UTF-8"
), type = "basic")
paths_df <- as.data.frame(
jsonlite::fromJSON(
httr::content(get_results, "text", encoding = "UTF-8"),
flatten = TRUE
)$results
) %>%
rename(path_id = .data$id, path_name = .data$title)
# list of path id's in a vector to pass into next call
path_ids <- pull(paths_df, .data$path_id)
map_across_paths <- function(.x){
api_path <- paste0("https://api.skilljar.com/v1/paths/",
.x,
"/path-items")
get_results <- httr::GET(api_path,
httr::add_headers(
"Authorization" = paste(
"Basic",
gsub("\n", "", token)),
"Content-Type" = paste0(
"application/x-www-form-urlencoded;charset=UTF-8")),
type = "basic"
)
items_df <- as.data.frame(
jsonlite::fromJSON(
httr::content(get_results, "text", encoding = "UTF-8"),
flatten = TRUE
)$results
) %>%
dplyr::mutate(path_id = .x)
}
all_path_items <- purrr::map_dfr(path_ids, map_across_paths) %>%
dplyr::left_join(paths_df)
}
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