join_key can set default parent

R/join_key.R

@@ -2,33 +2,40 @@
 #'
 #' @description `r lifecycle::badge("stable")`
 #'
-#' @details `join_key()` will create a relationship for the variables on a pair
-#' of datasets.
+#' @description Create a relationship between two datasets, `dataset_1` and `dataset_2`.
+#' By default, this function establishes a directed relationship with `dataset_1` as the parent.
+#' If `dataset_2` is not specified, the function creates a primary key for `dataset_1`.
 #'
-#' @param dataset_1,dataset_2 (`character(1)`) dataset names. If `dataset_2` is omitted,
-#'  a primary key for `dataset_1` is created.
-#' @param keys (optionally named `character`) where `names(keys)` are columns in `dataset_1`
-#' corresponding to columns of `dataset_2` given by the elements of `keys`.
+#' @param dataset_1,dataset_2 (`character(1)`) Dataset names. When `dataset_2` is omitted,
+#' a primary key for `dataset_1` is created.
+#' @param keys (optionally named `character`) Column mapping between the datasets,
+#' where `names(keys)` maps columns in `dataset_1` corresponding to columns of
+#' `dataset_2` given by the elements of `keys`.
 #'
 #' If unnamed, the same column names are used for both datasets.
 #'
 #' If any element of the `keys` vector is empty with a non-empty name, then the name is
 #' used for both datasets.
+#' @param directed (`logical(1)`) Flag that indicates whether it should create
+#' a parent-child relationship between the datasets.\cr
+#'  - `TRUE` (default) `dataset_1` is the parent of `dataset_2`;
+#'  - `FALSE` when the relationship is undirected.
 #'
 #' @return object of class `join_key_set` to be passed into `join_keys` function.
 #'
-#' @seealso [join_keys()]
+#' @seealso [join_keys()], [parents()]
 #'
 #' @export
 #'
 #' @examples
 #' join_key("d1", "d2", c("A"))
 #' join_key("d1", "d2", c("A" = "B"))
 #' join_key("d1", "d2", c("A" = "B", "C"))
-join_key <- function(dataset_1, dataset_2 = dataset_1, keys) {
+join_key <- function(dataset_1, dataset_2 = dataset_1, keys, directed = TRUE) {
   checkmate::assert_string(dataset_1)
   checkmate::assert_string(dataset_2)
   checkmate::assert_character(keys, any.missing = FALSE)
+  checkmate::assert_flag(directed)
 
   if (length(keys) > 0) {
     if (is.null(names(keys))) {
@@ -65,6 +72,12 @@ join_key <- function(dataset_1, dataset_2 = dataset_1, keys) {
     keys <- NULL
   }
 
+  parents <- if (directed && dataset_1 != dataset_2) {
+    setNames(list(dataset_1), dataset_2)
+  } else {
+    list()
+  }
+
   structure(
     list(
       structure(
@@ -73,6 +86,7 @@ join_key <- function(dataset_1, dataset_2 = dataset_1, keys) {
       )
     ),
     names = dataset_1,
-    class = "join_key_set"
+    class = "join_key_set",
+    parents = parents
   )
 }

R/join_keys-c.R

@@ -10,7 +10,7 @@
 #'   jk,
 #'   join_keys(
 #'     join_key("ds4", keys = c("pk4", "pk4_2")),
-#'     join_key("ds4", "ds3", c(pk4_2 = "pk3"))
+#'     join_key("ds3", "ds4", c(pk3 = "pk4_2"))
 #'   )
 #' )
 c.join_keys <- function(...) {
@@ -28,13 +28,13 @@ c.join_keys <- function(...) {
     f = function(.x, .y) {
       assert_compatible_keys2(.x, .y)
       out <- utils::modifyList(.x, .y, keep.null = FALSE)
-      attr(out, "parents") <- .merge_parents(.x, .y)
+      parents(out) <- .merge_parents(.x, .y)
       out
     }
   )
 
   out <- utils::modifyList(join_keys_obj, x_merged, keep.null = FALSE)
-  attr(out, "parents") <- .merge_parents(join_keys_obj, x_merged)
+  parents(out) <- .merge_parents(join_keys_obj, x_merged)
   out
 }
 
@@ -50,7 +50,7 @@ c.join_keys <- function(...) {
 #' jk_merged <- c(
 #'   jk_merged,
 #'   join_key("ds5", keys = "pk5"),
-#'   join_key("ds5", "ds1", c(pk5 = "pk1"))
+#'   join_key("ds1", "ds5", c(pk1 = "pk5"))
 #' )
 c.join_key_set <- function(...) {
   c.join_keys(...)

R/join_keys-extract.R

@@ -117,6 +117,10 @@
 #' @rdname join_keys
 #' @order 2
 #'
+#' @param directed (`logical(1)`) Flag that indicates whether it should create
+#' a parent-child relationship between the datasets.\cr
+#'  - `TRUE` (default) `dataset_1` is the parent of `dataset_2`;
+#'  - `FALSE` when the relationship is undirected.
 #' @section Functions:
 #' - `x[i, j] <- value`: Assignment of a key to pair `(i, j)`.
 #' - `x[i] <- value`: This (without `j` parameter) **is not** a supported
@@ -134,12 +138,13 @@
 #'
 #' # Setting a single relationship pair ---
 #'
-#' jk["ds4", "ds1"] <- c("pk4" = "pk1")
+#' jk["ds1", "ds4"] <- c("pk1" = "pk4")
 #'
 #' # Removing a key ---
 #'
 #' jk["ds5", "ds5"] <- NULL
-`[<-.join_keys` <- function(x, i, j, value) {
+`[<-.join_keys` <- function(x, i, j, directed = TRUE, value) {
+  checkmate::assert_flag(directed)
   if (missing(i) || missing(j)) {
     stop("join_keys[i, j] specify both indices to set a key pair.")
   } else if (!missing(i) && is.null(i) || !missing(j) && is.null(j)) {
@@ -163,8 +168,13 @@
     )
   }
 
-  x[[i]][[j]] <- value
-  x
+  # Handle join key removal separately
+  if (is.null(value)) {
+    x[[i]][[j]] <- NULL
+    return(x)
+  }
+
+  c(x, join_key(i, j, value, directed))
 }
 
 #' @noRd
@@ -234,9 +244,14 @@
   # Remove classes to use list-based get/assign operations
   new_x <- unclass(x)
 
-  # In case a pair is removed, also remove the symmetric pair
+  # In case a pair is removed, also remove the symmetric pair and update parents
   removed_names <- setdiff(names(new_x[[i]]), names(norm_value))
-  for (.x in removed_names) new_x[[.x]][[i]] <- NULL
+  for (.x in removed_names) {
+    if (identical(parent(x, .x), i)) attr(new_x, "parents")[[.x]] <- NULL
+    if (identical(parent(x, i), .x)) attr(new_x, "parents")[[i]] <- NULL
+
+    new_x[[.x]][[i]] <- NULL
+  }
 
   new_x[[i]] <- norm_value
 

R/join_keys-parents.R

@@ -78,6 +78,10 @@ parents.teal_data <- function(x) {
   new_parents <- list()
 
   for (dataset in names(value)) {
+    if (checkmate::test_scalar_na(value[[dataset]])) {
+      checkmate::assert("May not contain `NA_character_`", .var.name = "value")
+    }
+
     parent <- new_parents[[dataset]]
     checkmate::assert(
       checkmate::check_null(parent),

R/join_keys-utils.R

@@ -111,44 +111,31 @@ update_keys_given_parents <- function(x) {
 
   datanames <- names(jk)
   duplicate_pairs <- list()
-  for (d1 in datanames) {
+  for (d1_ix in seq_along(datanames)) {
+    d1 <- datanames[[d1_ix]]
     d1_pk <- jk[[d1]][[d1]]
     d1_parent <- parent(jk, d1)
-    for (d2 in datanames) {
-      if (paste(d2, d1) %in% duplicate_pairs) {
-        next
-      }
+    for (d2 in datanames[-1 * seq.int(d1_ix)]) {
       if (length(jk[[d1]][[d2]]) == 0) {
         d2_parent <- parent(jk, d2)
         d2_pk <- jk[[d2]][[d2]]
 
-        fk <- if (identical(d1, d2_parent)) {
-          # first is parent of second -> parent keys -> first keys
-          d1_pk
-        } else if (identical(d1_parent, d2)) {
-          # second is parent of first -> parent keys -> second keys
-          d2_pk
-        } else if (identical(d1_parent, d2_parent) && length(d1_parent) > 0) {
-          # both has the same parent -> common keys to parent
-          keys_d1_parent <- sort(jk[[d1]][[d1_parent]])
-          keys_d2_parent <- sort(jk[[d2]][[d2_parent]])
-
-          common_ix_1 <- unname(keys_d1_parent) %in% unname(keys_d2_parent)
-          common_ix_2 <- unname(keys_d2_parent) %in% unname(keys_d1_parent)
-
-          if (all(!common_ix_1)) {
-            # No common keys between datasets - leave empty
-            next
-          }
-
-          structure(
-            names(keys_d2_parent)[common_ix_2],
-            names = names(keys_d1_parent)[common_ix_1]
-          )
-        } else {
-          # cant find connection - leave empty
-          next
-        }
+        if (!identical(d1_parent, d2_parent) || length(d1_parent) == 0) next
+
+        # both has the same parent -> common keys to parent
+        keys_d1_parent <- sort(jk[[d1]][[d1_parent]])
+        keys_d2_parent <- sort(jk[[d2]][[d2_parent]])
+
+        common_ix_1 <- unname(keys_d1_parent) %in% unname(keys_d2_parent)
+        common_ix_2 <- unname(keys_d2_parent) %in% unname(keys_d1_parent)
+
+        # No common keys between datasets - leave empty
+        if (all(!common_ix_1)) next
+
+        fk <- structure(
+          names(keys_d2_parent)[common_ix_2],
+          names = names(keys_d1_parent)[common_ix_1]
+        )
         jk[[d1]][[d2]] <- fk # mutate join key
         duplicate_pairs <- append(duplicate_pairs, paste(d1, d2))
       }

R/join_keys.R

@@ -6,13 +6,15 @@
 #' join_keys(...)
 #'
 #' @description
-#' `join_keys()` facilitates the creation and retrieval of relationships between datasets.
-#' `join_keys` class extends a list and contains keys connecting pairs of datasets. Each element
-#' of the list contains keys for specific dataset. Each dataset can have a relationship with
-#' itself (primary key) and with other datasets.
+#' Facilitates the creation and retrieval of relationships between datasets.
+#' `join_keys` class extends a list and contains keys connecting pairs of datasets.
+#' Each element of the list contains keys for specific dataset.
+#' Each dataset can have a relationship with itself (primary key) and with other datasets.
 #'
-#' Note that `join_keys` list is symmetrical, that is, when keys are set between `dat1` and `dat2` it
-#' is automatically mirrored between `dat2` and `dat1`.
+#' Note that `join_keys` list is symmetrical and assumes a default direction, that is:
+#' when keys are set between `ds1` and `ds2`, it defines `ds1` as the parent
+#' in a parent-child relationship and the mapping is automatically mirrored between
+#' `ds2` and `ds1`.
 #'
 #' @section Methods (by class):
 #' - `join_keys()`: Returns an empty `join_keys` object when called without arguments.
@@ -24,6 +26,12 @@
 #'  either `teal_data` or `join_keys` to extract `join_keys`, \cr
 #'  or any number of `join_key_set` objects to create `join_keys`, \cr
 #'  or nothing to create an empty `join_keys`
+#' @param value For `x[i, j, directed = TRUE)] <- value` (named/unnamed `character`)
+#' Column mapping between datasets.
+#'
+#' For `join_keys(x) <- value`: (`join_key_set` or list of `join_key_set`) relationship
+#' pairs to add to `join_keys` list.
+#'
 #'
 #' @return `join_keys` object.
 #'
@@ -41,8 +49,8 @@
 #'   join_key("ds1", "ds1", "pk1"),
 #'   join_key("ds2", "ds2", "pk2"),
 #'   join_key("ds3", "ds3", "pk3"),
-#'   join_key("ds2", "ds1", c(pk2 = "pk1")),
-#'   join_key("ds3", "ds1", c(pk3 = "pk1"))
+#'   join_key("ds1", "ds2", c(pk1 = "pk2")),
+#'   join_key("ds1", "ds3", c(pk1 = "pk3"))
 #' )
 #'
 #' jk
@@ -91,8 +99,6 @@ join_keys.teal_data <- function(...) {
 #' @param x (`join_keys`) empty object to set the new relationship pairs.
 #' `x` is typically an object of `join_keys` class. When called with the `join_keys(x)`
 #' or `join_keys(x) <- value` then it can also take a supported class (`teal_data`, `join_keys`)
-#' @param value (`join_key_set` or list of `join_key_set`) relationship pairs to add
-#' to `join_keys` list.
 #'
 #' @export
 `join_keys<-` <- function(x, value) {
@@ -114,8 +120,8 @@ join_keys.teal_data <- function(...) {
 #' join_keys(obj)["ds1", "ds1"] <- "pk1"
 #' join_keys(obj)["ds2", "ds2"] <- "pk2"
 #' join_keys(obj)["ds3", "ds3"] <- "pk3"
-#' join_keys(obj)["ds2", "ds1"] <- c(pk2 = "pk1")
-#' join_keys(obj)["ds3", "ds1"] <- c(pk3 = "pk1")
+#' join_keys(obj)["ds1", "ds2"] <- c(pk1 = "pk2")
+#' join_keys(obj)["ds1", "ds3"] <- c(pk1 = "pk3")
 #'
 #' identical(jk, join_keys(obj))
 `join_keys<-.join_keys` <- function(x, value) {

inst/WORDLIST

@@ -1,10 +1,11 @@
 Forkers
-Getter
-Hoffmann
-Reproducibility
 formatters
 funder
+Getter
 getter
+Hoffmann
 pre
 repo
+Reproducibility
 reproducibility
+undirected