# ==================================================================== #
# TITLE                                                                #
# Antimicrobial Resistance (AMR) Analysis                              #
#                                                                      #
# SOURCE                                                               #
# https://gitlab.com/msberends/AMR                                     #
#                                                                      #
# LICENCE                                                              #
# (c) 2018-2020 Berends MS, Luz CF et al.                              #
#                                                                      #
# This R package is free software; you can freely use and distribute   #
# it for both personal and commercial purposes under the terms of the  #
# GNU General Public License version 2.0 (GNU GPL-2), as published by  #
# the Free Software Foundation.                                        #
#                                                                      #
# We created this package for both routine data analysis and academic  #
# research and it was publicly released in the hope that it will be    #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY.              #
# Visit our website for more info: https://msberends.gitlab.io/AMR.    #
# ==================================================================== #

# print successful as.mo coercions to a options entry
#' @inheritSection lifecycle Stable lifecycle
#' @importFrom dplyr %>% distinct filter
#' @importFrom utils write.csv
set_mo_history <- function(x, mo, uncertainty_level, force = FALSE, disable = FALSE) {
  if (isTRUE(disable)) {
    return(base::invisible())
  }
  
  # don't save codes that are in a code data set already
  mo <- mo[!x %in% microorganisms.codes$code & !x %in% microorganisms.translation$mo_old]
  x <- x[!x %in% microorganisms.codes$code & !x %in% microorganisms.translation$mo_old]
  
  warning_new_write <- FALSE
  
  if (base::interactive() | force == TRUE) {
    mo_hist <- read_mo_history(uncertainty_level = uncertainty_level, force = force)
    df <- data.frame(x, mo, stringsAsFactors = FALSE) %>%
      distinct(x, .keep_all = TRUE) %>%
      filter(!is.na(x) & !is.na(mo))
    if (nrow(df) == 0) {
      return(base::invisible())
    }
    x <- toupper(df$x)
    mo <- df$mo
    for (i in seq_len(length(x))) {
      # save package version too, as both the as.mo() algorithm and the reference data set may change
      if (NROW(mo_hist[base::which(mo_hist$x == x[i] &
                                   mo_hist$uncertainty_level >= uncertainty_level &
                                   mo_hist$package_version == utils::packageVersion("AMR")), ]) == 0) {
        if (is.null(mo_hist) & interactive()) {
          warning_new_write <- TRUE
        }
        tryCatch(write.csv(rbind(mo_hist,
                                 data.frame(
                                   x = x[i],
                                   mo = mo[i],
                                   uncertainty_level = uncertainty_level,
                                   package_version = base::as.character(utils::packageVersion("AMR")),
                                   stringsAsFactors = FALSE)),
                           row.names = FALSE,
                           file = mo_history_file()),
                 error = function(e) {
                   warning_new_write <- FALSE; base::invisible()
                 })
      }
    }
  }
  if (warning_new_write == TRUE) {
    message(blue(paste0("NOTE: results are saved to ", mo_history_file(), ".")))
  }
  return(base::invisible())
}

get_mo_history <- function(x, uncertainty_level, force = FALSE, disable = FALSE) {
  if (isTRUE(disable)) {
    return(to_class_mo(NA))
  }
  
  history <- read_mo_history(uncertainty_level = uncertainty_level, force = force)
  if (base::is.null(history)) {
    result <- NA
  } else {
    result <- data.frame(x = as.character(toupper(x)), stringsAsFactors = FALSE) %>%
      left_join(history, by = "x") %>%
      pull(mo)
  }
  to_class_mo(result)
}

#' @importFrom dplyr %>% filter distinct
#' @importFrom utils read.csv
read_mo_history <- function(uncertainty_level = 2, force = FALSE, unfiltered = FALSE, disable = FALSE) {
  if (isTRUE(disable)) {
    return(NULL)
  }
  
  if ((!base::interactive() & force == FALSE)) {
    return(NULL)
  }
  uncertainty_level_param <- uncertainty_level
  
  history <- tryCatch(read.csv(mo_history_file(), stringsAsFactors = FALSE),
                      warning = function(w) invisible(),
                      error = function(e) NULL)
  if (is.null(history)) {
    return(NULL)
  }
  # Below: filter on current package version.
  # Even current fullnames may be replaced by new taxonomic names, so new versions of
  # the Catalogue of Life must not lead to data corruption.
  
  if (unfiltered == FALSE) {
    history <- history %>%
      filter(package_version == as.character(utils::packageVersion("AMR")),
             # only take unknowns if uncertainty_level_param is higher
             ((mo == "UNKNOWN" & uncertainty_level_param == uncertainty_level) |
                (mo != "UNKNOWN" & uncertainty_level_param >= uncertainty_level))) %>%
      arrange(desc(uncertainty_level)) %>%
      distinct(x, mo, .keep_all = TRUE)
  }
  
  if (nrow(history) == 0) {
    NULL
  } else {
    history
  }
}

#' @rdname as.mo
#' @importFrom crayon red
#' @importFrom utils menu
#' @export
clear_mo_history <- function(...) {
  if (!is.null(read_mo_history())) {
    if (interactive() & !isTRUE(list(...)$force)) {
      q <- menu(title = paste("This will clear all",
                              format(nrow(read_mo_history(999, unfiltered = TRUE)), big.mark = ","),
                              "previously determined microbial IDs. Are you sure?"),
                choices = c("Yes", "No"),
                graphics = FALSE)
      if (q != 1) {
        return(invisible())
      }
    }

    success <- create_blank_mo_history()
    if (!isFALSE(success)) {
      cat(red(paste("File", mo_history_file(), "cleared.")))
    }
  }
}

#' @importFrom utils write.csv
create_blank_mo_history <- function() {
  tryCatch(
    write.csv(x = data.frame(x = character(0),
                             mo = character(0),
                             uncertainty_level = integer(0),
                             package_version = character(0),
                             stringsAsFactors = FALSE),
              row.names = FALSE,
              file = mo_history_file()),
    warning = function(w) invisible(),
    error = function(e) TRUE)
}


# Borrowed all below code from the extrafont package,
# https://github.com/wch/extrafont/blob/254c3f99b02f11adb59affbda699a92aec8624f5/R/utils.r
inst_path <- function() {
  envname <- environmentName(parent.env(environment()))
  
  # If installed in package, envname == "AMR"
  # If loaded with load_all, envname == "package:AMR"
  # (This is kind of strange)
  if (envname == "AMR") {
    system.file(package = "AMR")
  } else {
    srcfile <- attr(attr(inst_path, "srcref"), "srcfile")
    file.path(dirname(dirname(srcfile$filename)), "inst")
  }
}


# Get the path where extrafontdb is installed
db_path <- function() {
  system.file(package = "AMR")
}

# fonttable file
mo_history_file <- function() {
  file.path(mo_history_path(), "mo_history.csv")
}

# Path of fontmap directory
mo_history_path <- function() {
  file.path(db_path(), "mo_history")
}