Update dashTable to 4.5.1 with support for async loading in R

DESCRIPTION

@@ -1,11 +1,10 @@
 Package: dashTable
-Title: Core Interactive Table Component for Dash
+Title: Dash table
 Version: 4.5.1
-Authors @R: as.person(c(Chris Parmer <chris@plot.ly>))
-Description:  Dash DataTable is an interactive table component designed for designed for viewing, editing, and exploring large datasets. DataTable is rendered with standard, semantic HTML <table/> markup, which makes it accessible, responsive, and easy to style. This component was written from scratch in React.js specifically for the Dash community. Its API was designed to be ergonomic and its behavior is completely customizable through its properties.
+Description: Dash table
 Depends: R (>= 3.0.2)
-Imports:
-Suggests:
+Imports: 
+Suggests: 
 License: MIT + file LICENSE
 URL: https://github.com/plotly/dash-table
 BugReports: https://github.com/plotly/dash-table/issues

NAMESPACE

@@ -1,3 +1,4 @@
 # AUTO GENERATED FILE - DO NOT EDIT
 
 export(dashDataTable)
+export(df_to_list)

R/df_to_list.R

@@ -0,0 +1,8 @@
+df_to_list <- function(df) {
+  if(!(is.data.frame(df)))
+    stop("df_to_list requires a data.frame object; please verify that df is of the correct type.")
+  setNames(lapply(split(df, seq(nrow(df))), 
+                  FUN = function (x) {
+                    as.list(x)
+                  }), NULL)
+}

R/internal.R

@@ -10,30 +10,30 @@ version = "4.5.1", src = list(href = NULL,
 file = "deps"), meta = NULL,
 script = 'bundle.js.map',
 stylesheet = NULL, head = NULL, attachment = NULL, package = "dashTable",
-all_files = FALSE), class = "html_dependency"),
+all_files = FALSE, dynamic = TRUE), class = "html_dependency"),
 `dash_table` = structure(list(name = "dash_table",
 version = "4.5.1", src = list(href = NULL,
 file = "deps"), meta = NULL,
 script = 'async~export.js',
 stylesheet = NULL, head = NULL, attachment = NULL, package = "dashTable",
-all_files = FALSE), class = "html_dependency"),
+all_files = FALSE, async = TRUE), class = "html_dependency"),
 `dash_table` = structure(list(name = "dash_table",
 version = "4.5.1", src = list(href = NULL,
 file = "deps"), meta = NULL,
 script = 'async~export.js.map',
 stylesheet = NULL, head = NULL, attachment = NULL, package = "dashTable",
-all_files = FALSE), class = "html_dependency"),
+all_files = FALSE, dynamic = TRUE), class = "html_dependency"),
 `dash_table` = structure(list(name = "dash_table",
 version = "4.5.1", src = list(href = NULL,
 file = "deps"), meta = NULL,
 script = 'async~table.js',
 stylesheet = NULL, head = NULL, attachment = NULL, package = "dashTable",
-all_files = FALSE), class = "html_dependency"),
+all_files = FALSE, async = TRUE), class = "html_dependency"),
 `dash_table` = structure(list(name = "dash_table",
 version = "4.5.1", src = list(href = NULL,
 file = "deps"), meta = NULL,
 script = 'async~table.js.map',
 stylesheet = NULL, head = NULL, attachment = NULL, package = "dashTable",
-all_files = FALSE), class = "html_dependency"))
+all_files = FALSE, dynamic = TRUE), class = "html_dependency"))
 return(deps_metadata)
 }

man/df_to_list.Rd

@@ -0,0 +1,41 @@
+% Auto-generated: do not edit by hand
+\name{df_to_list}
+
+\alias{df_to_list}
+
+\title{Convert data.frame objects to list-of-lists format}
+
+\description{
+Convert a \code{\link{data.frame}} to a list of lists for compatibility with \code{\link{dashDataTable}}. The function will return a nested list object in which the sublists contain named elements of varying type; the names correspond to the column names in the original \code{\link{data.frame}}.
+}
+
+\usage{
+df_to_list(df=NULL)
+}
+
+\arguments{
+\item{df}{A \code{data.frame} object, which will be transformed into a list of lists. Each row will become a single named list, in which the elements are named as the columns from which they were extracted.}
+}
+
+\examples{
+\dontrun{
+# first, create data frame
+df <- read.csv(url(
+  'https://raw.githubusercontent.com/plotly/datasets/master/solar.csv'
+  ),
+  check.names=FALSE,
+  stringsAsFactors=FALSE
+)
+
+# then convert to list-of-lists format for use in dashTable
+# the following snippet below will print as JSON
+# see the help for dashDataTable to see an actual app example
+dashDataTable(
+  id = 'table',
+  columns = lapply(colnames(df), function(x) {
+    list(name = x, id = x)
+  }),
+  data = df_to_list(df)
+)
+}
+}