#' Clean and augment a list of emails
#'
#' Returns a tibble in which the first column is the given list of emails (as
#' objects), and the other columns are common attributes of emails.
#'
#' @param emails A list of DCOM email objects.
clean_emails <- function(emails) {
get_attachment_names <- function(email) {
number_attachments = email$Attachments()$Count()
if (number_attachments == 0) {
return("")
}
attachments <- purrr::map(
seq(number_attachments),
function(x) email$Attachments(x)$FileName()
)
return(paste(attachments, sep = ", "))
}
augmented_emails <- tibble::tibble("email" = emails)
augmented_emails <- dplyr::mutate(dplyr::rowwise(augmented_emails),
subject = email$Subject(),
received = as.POSIXct(email$ReceivedTime() * (24 * 60 * 60),
origin="1899-12-30", tz="GMT"),
from_name = email$SenderName(),
from_email = email$SenderEmailAddress(),
to_name = email$ReceivedByName(),
cc_name = email$CC(),
importance = email$Importance(),
number_attachments = email$Attachments()$Count(),
attachments = get_attachment_names(email),
body = email$Body()
)
return(augmented_emails)
}
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