argument checks for all user facing functions

DESCRIPTION

@@ -26,6 +26,7 @@ BugReports: https://github.com/rOpenSpain/spanishoddata/issues
 Depends:
     R (>= 3.5.0)
 Imports: 
+    checkmate,
     curl (>= 5.0.0),
     DBI,
     dplyr,

R/connect_to_converted_data.R

@@ -18,6 +18,14 @@ spod_connect <- function(
   max_n_cpu = parallelly::availableCores() - 1,
   temp_path = spod_get_temp_dir()
 ){
+  # Validate imputs
+  checkmate::assert_access(data_path, access = 'r')
+  checkmate::assert_character(target_table_name, null.ok = TRUE)
+  checkmate::assert_flag(quiet)
+  checkmate::assert_number(max_mem_gb, lower = 1)
+  checkmate::assert_integerish(max_n_cpu, lower = 1, upper = parallelly::availableCores())
+  checkmate::assert_directory_exists(temp_path, access = "rw")
+
   # determine if data_path is a folder or a duckdb file
   if (grepl("\\.duckdb$", data_path)) {
     duckdb_path <- data_path
@@ -102,7 +110,14 @@ spod_connect <- function(
 #' spod_disconnect(od_distr)
 #' }
 #' 
-spod_disconnect <- function(tbl_con, free_mem = TRUE) {
+spod_disconnect <- function(
+  tbl_con,
+  free_mem = TRUE
+) {
+  # Validate imputs
+  checkmate::assert_class(tbl_con, "tbl_duckdb_connection")
+  checkmate::assert_flag(free_mem)
+
   DBI::dbDisconnect(tbl_con$src$con, shutdown = TRUE)
   if (free_mem){
     gc()

R/convert_data.R

@@ -40,26 +40,44 @@ spod_convert <- function(
   data_dir = spod_get_data_dir(),
   quiet = FALSE,
   max_mem_gb = max(4, spod_available_ram() - 4),
-  max_n_cpu = parallelly::availableCores() - 1,
+  max_n_cpu = max(1, parallelly::availableCores() - 1),
   max_download_size_gb = 1,
   ignore_missing_dates = FALSE
 ) {
-
+  # Validate inputs
+  checkmate::assert_choice(type, choices = c("od", "origin-destination", "os", "overnight_stays", "nt", "number_of_trips"))
+  checkmate::assert_choice(zones, choices = c(
+    "districts", "dist", "distr", "distritos",
+    "municipalities", "muni", "municip", "municipios",
+    "lua", "large_urban_areas", "gau", "grandes_areas_urbanas"
+  ))
+  checkmate::assert_choice(save_format, choices = c("duckdb", "parquet"), null.ok = TRUE)
+  checkmate::assert_character(save_path, len = 1, null.ok = TRUE)
+  checkmate::assert_flag(overwrite)
+  checkmate::assert_directory_exists(data_dir, access = "rw")
+  checkmate::assert_flag(quiet)
+  checkmate::assert_number(max_mem_gb, lower = 0.1)
+  checkmate::assert_integerish(max_n_cpu, lower = 1, upper = parallelly::availableCores())
+  checkmate::assert_number(max_download_size_gb, lower = 0.1)
+  checkmate::assert_flag(ignore_missing_dates)
+
+
+  # simple null check is enough here, as spod_dates_arugument_to_dates_seq will do additional checks anyway
   if (is.null(dates)) {
-    message("No period specified in the `dates` argument. Please set `dates='cached_v1'` or `dates='cached_v2'` to convert all data that was previously downloaded. Alternatively, specify at least one date between 2020-02-14 and 2021-05-09 (for v1 data) or between 2022-01-01 onwards (for v2). Any missing data will be downloaded before conversion.")
+    message("No period specified in the `dates` argument. Please set `dates='cached_v1'` or `dates='cached_v2'` to convert all data that was previously downloaded. Alternatively, specify at least one date between 2020-02-14 and 2021-05-09 (for v1 data) or between 2022-01-01 onwards (for v2). Any missing data will be downloaded before conversion. For more details on the dates argument, see ?spod_convert.")
   }
 
   dates <- spod_dates_argument_to_dates_seq(dates = dates)
-  ver <- spod_infer_data_v_from_dates(dates = dates, ignore_missing_dates = ignore_missing_dates)
-
   # check if user is requesting to just get all cached data
   cached_data_requested <- length(dates) == 1 &&
     all(as.character(dates) %in% c("cached_v1", "cached_v2"))  
-
-  type <- match.arg(type)
+
+  ver <- spod_infer_data_v_from_dates(dates = dates, ignore_missing_dates = ignore_missing_dates)
+
+  # normalise type
   type <- spod_match_data_type(type = type)
 
-  zones <- match.arg(zones)
+  # normalise zones
   zones <- spod_zone_names_en2es(zones)
 
   # check format

R/data-dir.R

@@ -11,6 +11,9 @@ spod_set_data_dir <- function(
   data_dir,
   quiet = FALSE
 ){
+  checkmate::assert_character(data_dir, len = 1, null.ok = FALSE)
+  checkmate::assert_flag(quiet)
+
   data_dir_abs_path <- fs::path_abs(data_dir)
 
   tryCatch({
@@ -55,6 +58,7 @@ spod_set_data_dir <- function(
 #' @export
 #' @keywords internal
 spod_get_data_dir <- function(quiet = FALSE) {
+  checkmate::assert_flag(quiet)
   data_dir_env <- Sys.getenv("SPANISH_OD_DATA_DIR")
   if (data_dir_env == "") {
     if (isFALSE(quiet)) warning("Warning: SPANISH_OD_DATA_DIR is not set. Using the temporary directory, which is not recommended, as the data will be deleted when the session ends.\n\n To set the data directory, use `Sys.setenv(SPANISH_OD_DATA_DIR = '/path/to/data')` or set SPANISH_OD_DATA_DIR permanently in the environment by editing the `.Renviron` file locally for current project with `usethis::edit_r_environ('project')` or `file.edit('.Renviron')` or globally for all projects with `usethis::edit_r_environ('user')` or `file.edit('~/.Renviron')`.")

R/download_data.R

@@ -52,10 +52,28 @@ spod_download <- function(
     return_local_file_paths = FALSE,
     ignore_missing_dates = FALSE
   ) {
-  # convert english zone names to spanish words used in the default data paths
-  zones <- match.arg(zones)
+
+  # Validate inputs
+  checkmate::assert_choice(type, choices = c("od", "origin-destination", "os", "overnight_stays", "nt", "number_of_trips"))
+  checkmate::assert_choice(zones, choices = c(
+    "districts", "dist", "distr", "distritos",
+    "municipalities", "muni", "municip", "municipios",
+    "lua", "large_urban_areas", "gau", "grandes_areas_urbanas"
+  ))
+  checkmate::assert_number(max_download_size_gb, lower = 0.1)
+  checkmate::assert_directory_exists(data_dir, access = "rw")
+  checkmate::assert_flag(quiet)
+  checkmate::assert_flag(return_local_file_paths)
+  checkmate::assert_flag(ignore_missing_dates)
+
+  # normalise zones
   zones <- spod_zone_names_en2es(zones)
 
+  # simple null check is enough here, as spod_dates_arugument_to_dates_seq will do additional checks anyway
+  if (is.null(dates)) {
+    message("`dates` argument is undefined. Please set `dates='cached_v1'` or `dates='cached_v2'` to convert all data that was previously downloaded. Alternatively, specify at least one date between 2020-02-14 and 2021-05-09 (for v1 data) or between 2022-01-01 onwards (for v2). Any missing data will be downloaded before conversion. For more details on the dates argument, see ?spod_download.")
+  }
+
   dates_to_use <- spod_dates_argument_to_dates_seq(dates = dates)
 
 

R/get.R

@@ -43,14 +43,25 @@ spod_get_zones <- function(
   data_dir = spod_get_data_dir(),
   quiet = FALSE
 ) {
-  ver <- as.integer(ver) # todo: add type safety check
+  # Validate inputs
+  checkmate::assert_choice(zones, choices = c(
+    "districts", "dist", "distr", "distritos",
+    "municipalities", "muni", "municip", "municipios",
+    "lua", "large_urban_areas", "gau", "grandes_areas_urbanas"
+  ))
+
+  checkmate::assertIntegerish(ver, max.len = 1)
   if (!ver %in% c(1, 2)) {
-    stop("Invalid version number. Must be 1 or 2.")
+    stop("Invalid version number. Must be 1 (for v1 2020-2021 data) or 2 (for v2 2022 onwards).")
   }
-
-  zones <- match.arg(zones)
+
+
+  checkmate::assert_directory_exists(data_dir, access = "rw")
+  checkmate::assert_flag(quiet)
+
+  # normalise zones
   zones <- spod_zone_names_en2es(zones)
-
+  
   if (ver == 1) {
     zones_sf <- spod_get_zones_v1(zones = zones, data_dir = data_dir, quiet = quiet)
   } else if (ver == 2) {
@@ -84,10 +95,14 @@ spod_available_data <- function(
   quiet = FALSE,
   data_dir = spod_get_data_dir()
 ) {
-  ver <- as.integer(ver) # todo: add type safety check
+  # Validate input
+  checkmate::assertIntegerish(ver, max.len = 1)
   if (!ver %in% c(1, 2)) {
-    stop("Invalid version number. Must be 1 or 2.")
+    stop("Invalid version number. Must be 1 (for v1 2020-2021 data) or 2 (for v2 2022 onwards).")
   }
+  checkmate::assert_flag(check_local_files)
+  checkmate::assert_flag(quiet)
+  checkmate::assert_directory_exists(data_dir, access = "rw")
 
   if (ver == 1) {
     return(spod_available_data_v1(data_dir = data_dir, check_local_files = check_local_files, quiet = quiet))

R/get_v1_data.R

@@ -488,15 +488,31 @@ spod_get <- function(
   temp_path = spod_get_temp_dir(),
   ignore_missing_dates = FALSE
 ) {
+
+  # Validate inputs
+  checkmate::assert_choice(type, choices = c("od", "origin-destination", "os", "overnight_stays", "nt", "number_of_trips"))
+  checkmate::assert_choice(zones, choices = c(
+    "districts", "dist", "distr", "distritos",
+    "municipalities", "muni", "municip", "municipios",
+    "lua", "large_urban_areas", "gau", "grandes_areas_urbanas"
+  ))
+  checkmate::assert_flag(quiet)
+  checkmate::assert_number(max_mem_gb, lower = 1)
+  checkmate::assert_integerish(max_n_cpu, lower = 1, upper = parallelly::availableCores())
+  checkmate::assert_number(max_download_size_gb, lower = 0.1)
+  checkmate::assert_string(duckdb_target)
+  checkmate::assert_directory_exists(data_dir, access = "rw")
+  checkmate::assert_directory_exists(temp_path, access = "rw")
+  checkmate::assert_flag(ignore_missing_dates)
+
+  # simple null check is enough here, as spod_dates_arugument_to_dates_seq will do additional checks anyway
   if (is.null(dates)) {
-    message("`dates` argument is undefined. Please set `dates='cached_v1'` or `dates='cached_v2'` to convert all data that was previously downloaded. Alternatively, specify at least one date between 2020-02-14 and 2021-05-09 (for v1 data) or between 2022-01-01 onwards (for v2). Any missing data will be downloaded before conversion.")
+    message("`dates` argument is undefined. Please set `dates='cached_v1'` or `dates='cached_v2'` to convert all data that was previously downloaded. Alternatively, specify at least one date between 2020-02-14 and 2021-05-09 (for v1 data) or between 2022-01-01 onwards (for v2). Any missing data will be downloaded before conversion. For more details on the dates argument, see ?spod_get.")
   }
 
-
-  type <- match.arg(type)
+  # normalise type
   type <- spod_match_data_type(type = type)
-
-  zones <- match.arg(zones)
+  # normalise zones
   zones <- spod_zone_names_en2es(zones)
 
   # check if user is requesting to just get all cached data

R/help.R

@@ -9,8 +9,13 @@
 #' @importFrom utils vignette
 #' @export
 #' 
-spod_codebook = function(ver = 1) {
-  ver <- as.integer(ver)
+spod_codebook <- function(ver = 1) {
+  # Validate input
+  checkmate::assertIntegerish(ver, max.len = 1)
+  if (!ver %in% c(1, 2)) {
+    stop("Invalid version number. Must be 1 (for v1 2020-2021 data) or 2 (for v2 2022 onwards).")
+  }
+
   if (ver == 1){
     help <- vignette(
       topic = "v1-2020-2021-mitma-data-codebook",

R/internal_utils.R

@@ -206,7 +206,11 @@ spod_expand_dates_from_regex <- function(date_regex) {
   if (length(matching_dates_v1) == 0 && length(matching_dates_v2) == 0) {
     stop(paste0(
       "No matching dates found in the available data.",
-      "The valid dates range for v1 is: ", paste0(min(all_dates_v1), " to ", max(all_dates_v1)), " and for v2 is: ", paste0(min(all_dates_v2), " to ", max(all_dates_v2))
+      "\nThe valid dates range for v1 is: ",
+        paste(spod_convert_dates_to_ranges(all_dates_v1), collapse = ", "),
+      "\nThe valid dates range for v2 is: ",
+          paste(spod_convert_dates_to_ranges(all_dates_v2), collapse = ", "),
+          "."
     ))
   }
   # If checks above have passed, we can combine the matching dates as only one contains dates and the other is empty
@@ -221,12 +225,12 @@ spod_expand_dates_from_regex <- function(date_regex) {
 #' @return A vector of type `Date` with all possible valid dates for the specified data version (v1 for 2020-2021 and v2 for 2020 onwards).
 #' @export
 spod_get_valid_dates <- function(ver = NULL) {
-  ver <- as.integer(ver) # todo: add type safety check
+  # Validate input
+  checkmate::assertIntegerish(ver, max.len = 1)
   if (!ver %in% c(1, 2)) {
-    stop("Invalid version number. Must be 1 or 2.")
+    stop("Invalid version number. Must be 1 (for v1 2020-2021 data) or 2 (for v2 2022 onwards).")
   }
 
-
   if (ver == 1) {
     # available_data <- spod_available_data_v1(check_local_files = FALSE, quiet = TRUE)
     # all_dates <- unique(available_data[grepl("maestra1.*diarios", available_data$target_url),]$data_ymd, na.rm = TRUE)

R/quick-get.R

@@ -36,6 +36,27 @@ spod_quick_get_od <- function(
   id_origin = NA,
   id_destination = NA
 ){
+  # Validate inputs
+  checkmate::assert_integerish(min_trips, lower = 0, null.ok = FALSE, max.len = 1)
+
+  # Mapping user-friendly distances to GraphQL expected values
+  distance_mapping <- c(
+    "500m-2km" = "D_05_2",
+    "2-10km" = "D_2_10",
+    "10-50km" = "D_10_50",
+    "50+km" = "D_50"
+  )
+  # Translate user-friendly distances into GraphQL distances
+  graphql_distances <- unname(distance_mapping[distances])
+
+  if (any(is.na(graphql_distances))) {
+    stop("Invalid distance value. Allowed values are: ", 
+          paste(names(distance_mapping), collapse = ", "))
+  }
+
+  checkmate::assert_character(id_origin, null.ok = TRUE)
+  checkmate::assert_character(id_destination, null.ok = TRUE)
+
   # Convert the date into YYYYMMDD format
   if (is.character(date)) {
     # Check for "YYYY-MM-DD" format
@@ -94,14 +115,6 @@ spod_quick_get_od <- function(
       )
     )
   }
-
-  # Mapping user-friendly distances to GraphQL expected values
-  distance_mapping <- c(
-    "500m-2km" = "D_05_2",
-    "2-10km" = "D_2_10",
-    "10-50km" = "D_10_50",
-    "50+km" = "D_50"
-  )
 
   # Municipalities checks
   muni_ref <- readRDS(
@@ -138,19 +151,8 @@ spod_quick_get_od <- function(
     validate_muni_ids(id_destination, muni_ref)
   }
 
-
-  # Validate min_trips
-  if (!is.numeric(min_trips) || min_trips < 0) {
-    stop("Invalid minimum number of trips. Must be a non-negative integer.")
-  }
 
-  # Translate user-friendly distances into GraphQL distances
-  graphql_distances <- unname(distance_mapping[distances])
-
-  if (any(is.na(graphql_distances))) {
-    stop("Invalid distance value. Allowed values are: ", 
-         paste(names(distance_mapping), collapse = ", "))
-  }
+
 
   # Construct the `journeysMunCriteria` part of the query
   journeysMunCriteria <- list(