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#' Get Raw Data Files
#'
#' Retrieves a list of raw data file exports that are available for a
#' list of product IDs and the download URL for each file.
#'
#' Raw data files are an add-on service available through Revenera. If
#' these files are available they can be downloaded manually from the
#' user portal, or downloaded via R. This function uses the API to
#' first retrieve the list of files, and then get the download URL for
#' each file.
#'
#' 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_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 available files and URLs.
#'
#' @export
#'
#' @examples
#' \dontrun{
#' rev_user <- "my_username"
#' rev_pwd <- "super_secret"
#' product_ids_list <- c("123", "456", "789")
#' session_id <- revenera_auth(rev_user, rev_pwd)
#' files_df <- get_raw_data_files(product_ids_list, session_id, rev_user)
#' file_list <- dplyr::pull(files_df, var = file_name)
#' for (f in file_list) {
#' url <- dplyr::filter(files_df, file_name == f) %>%
#' dplyr::pull(download_url)
#' download.file(url, mode = "wb", destfile = "download_file_location.zip")
#' }
#' }
get_raw_data_files <- function(rev_product_ids, rev_session_id, rev_username) {
. <- NA # prevent variable binding note for the dot
get_by_product <- function(x) {
get_files_body <- list(
user = rev_username,
sessionId = rev_session_id,
productId = x
)
get_files_request <- httr::RETRY("POST",
url = paste0(
"https://api.revulytics.com/",
"rawEvents/download/listFiles"
),
body = get_files_body,
encode = "json",
times = 4,
pause_min = 10,
terminate_on = NULL,
terminate_on_success = TRUE,
pause_cap = 5
)
check_status(get_files_request)
request_content <- httr::content(get_files_request, "text",
encoding = "ISO-8859-1"
)
content_json <- jsonlite::fromJSON(request_content, flatten = TRUE)
files_df <- as.data.frame(content_json[2])
if(nrow(files_df) > 0) {
file_list <- dplyr::pull(files_df, 1)
get_download_urls <- function(filenm) {
download_body <- list(
user = rev_username,
sessionId = rev_session_id,
productId = x,
fileName = filenm
)
download_request <- httr::RETRY("POST",
url = paste0(
"https://api.revulytics.com",
"/rawEvents/download/getDownloadUrl"
),
body = download_body,
encode = "json",
times = 4,
pause_min = 10,
terminate_on = NULL,
terminate_on_success = TRUE,
pause_cap = 5
)
request_content <- httr::content(download_request, "text",
encoding = "ISO-8859-1"
)
content_json <- jsonlite::fromJSON(request_content, flatten = TRUE)
file_url_df <- as.data.frame(content_json[[2]]) %>%
mutate(file_name = filenm) %>%
left_join(files_df, by = c("file_name" = "fileList.fileName")) %>%
rename(download_url = 1, file_date = 3, file_size_kb = 4)
return(file_url_df)
}
all_file_url_df <- purrr::map_dfr(file_list, get_download_urls)
return(all_file_url_df)
}
}
all_pids_df <- purrr::map_dfr(rev_product_ids, get_by_product)
return(all_pids_df)
}
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