Nesting Columns, as in nestedGroups is now supported

.gitignore

@@ -2,3 +2,4 @@
 .Rhistory
 .RData
 inst/doc
+.DS_Store

DESCRIPTION

@@ -29,7 +29,8 @@ Imports:
 Suggests:
     knitr (>= 1.7),
     testthat (>= 0.9.1),
-    tibble
+    tibble,
+    glue
 License: MIT + file LICENSE
 Encoding: UTF-8
 LazyData: true

R/utils.R

@@ -24,7 +24,11 @@ dataframeToD3 <- function(df) {
   row.names(df) <- NULL
   lapply(seq_len(nrow(df)), function(row) {
     row <- df[row, , drop = FALSE]
-    lapply(row[, !is.na(row), drop = FALSE], as.character)
+    lapply(row[, !is.na(row), drop = FALSE], function(x){
+      if (lengths(x) > 1 | is.list(x)) return(lapply(unlist(x),as.character))
+      # if (is.null(x)) return(NA)
+      return(as.character(x))
+    })
   })
 }
 

tests/testthat/setup_helpers.R

@@ -0,0 +1,10 @@
+# Produce a more informative output when failing expect_equivalent/identical
+# testcases for visual comparison
+info_comp <- function(actual, expect){
+  if (!requireNamespace("glue", quietly = TRUE)){
+    return()
+  }
+  out <- glue::glue("Expect: {expect}",
+                    "Actual: {actual}", .sep = "\n")
+  return(out)
+}

tests/testthat/test-dataframeToD3.R

@@ -8,21 +8,24 @@ test_that("dataframeToD3 works with no input", {
 test_that("dataframeToD3 works with a single row", {
   df <- data.frame(name = "Dean", age = 27, stringsAsFactors = FALSE)
   list <- list(list(name = "Dean", age = "27"))
-  expect_identical(dataframeToD3(df), list)
+  expect_identical(dataframeToD3(df), list,
+                   info = info_comp(dataframeToD3(df), list))
 })
 
 test_that("dataframeToD3 works with multiple rows", {
   df <- data.frame(name = c("Dean", "Ben"), age = c(27, 24))
   list <- list(list(name = "Dean", age = "27"),
                list(name = "Ben", age = "24"))
-  expect_identical(dataframeToD3(df), list)
+  expect_identical(dataframeToD3(df), list,
+                   info = info_comp(dataframeToD3(df), list))
 })
 
 test_that("dataframeToD3 works with NA values", {
   df <- data.frame(name = c("Dean", "Ben"), age = c(27, 24), degree = c("MSc", NA))
   list <- list(list(name = "Dean", age = "27", degree = "MSc"),
                list(name = "Ben", age = "24"))
-  expect_identical(dataframeToD3(df), list)
+  expect_identical(dataframeToD3(df), list,
+                   info = info_comp(dataframeToD3(df), list))
 })
 
 test_that("dataframeToD3 errors when given a non-dataframe", {
@@ -33,5 +36,28 @@ test_that("dataframeToD3 errors when given a non-dataframe", {
 test_that("dataframeToD3 returns the same whether the dataframe is pure or merged", {
   df <- data.frame(name = c("Dean", "Ben"), age = c(27, 24))
   df_rbind <- rbind(df[1, ], df[2, ])
-  expect_identical(dataframeToD3(df), dataframeToD3(df_rbind))
+  expect_identical(dataframeToD3(df), dataframeToD3(df_rbind),
+                   info = info_comp(dataframeToD3(df), dataframeToD3(df_rbind)))
+})
+
+
+test_that("nested columns behave the way they ought to",{
+  matts_hobbies <- c("Working", "thinking about work")
+  df <- data.frame(name = c("Dean", "Matt"),
+                   age = c(27, 23),
+                   hobbies = c(NA, NA))
+  df$hobbies[2] <- list(matts_hobbies)
+  out <- dataframeToD3(df)
+  expect <- list(list(name = "Dean", age = "27"),
+                 list(name = "Matt", age = "23", hobbies = as.list(matts_hobbies)))
+  expect_identical(out, expect, info = info_comp(out, expect))
+
+  df2 <- df
+  expect2 <- expect
+
+  deans_hobby <- "Responding to pull requests"
+  df2$hobbies[1] <- list(deans_hobby)
+  expect2[[1]]$hobbies <- list(deans_hobby)
+  out2 <- dataframeToD3(df2)
+  expect_identical(out2, expect2, info = info_comp(out2, expect2))
 })