#---------------------------
#file container helper functions
#
#
# GET data from jira
#
#' Runs a rest GET call towards jira
#'
#' @param url
#' @param user
#' @param password
#' @param verbose
#'
#' @return a parsed rest document (in the shape of a list)
#' @export
#'
#' @examples
#'
#' res <- jira_get(con, url)
jira_get <- function(con, url){
if(length(con) != 3 && length(con) != 4)
stop('Malformed connection')
verbose <- TRUE
res <- GET(url = url,
authenticate(user = con$user, password = con$password, "basic"),
add_headers("Content-Type" = "application/json")
#verbose(data_out = verbose, data_in = verbose, info = verbose)
)
#res <- content(res, type = "application/json;charset=UTF-8")
return(res)
}
#
#' to avoid issues with map_chr and NULL
#' @param .x
#' @param .f
#' @param ...
#'
#' @return a character vector
#' @export
#'
#' @examples
#' A helper function from https://github.com/jennybc/analyze-github-stuff-with-r#readme
#' same arguments as map_chr
#'
#' issue <- res$issues %>% {
#' tibble(issuetype_id = map_chr_hack(., ~ .x[["fields"]][["issuetype"]][["id"]]))}
map_chr_hack <- function(.x, .f, ...) {
map(.x, .f, ...) %>%
map_if(is.null, ~ NA_character_) %>%
flatten_chr()
}
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