adjusted split function

This commit is contained in:
Andreas Gammelgaard Damsbo 2025-10-30 20:50:50 +01:00
parent 48f4d99429
commit 901864acff
No known key found for this signature in database
3 changed files with 129 additions and 22 deletions

View file

@ -2,6 +2,7 @@ string_split_ui <- function(id) {
ns <- NS(id)
tagList(
shiny::fluidRow(
# shiny::textOutput(outputId = ns("no_splits")),
column(
width = 4,
shiny::uiOutput(outputId = ns("variable"))
@ -13,7 +14,7 @@ string_split_ui <- function(id) {
column(
width = 4,
shiny::uiOutput(outputId = ns("direction"))
)#,
) # ,
# column(
# width = 3,
# actionButton(
@ -28,8 +29,10 @@ string_split_ui <- function(id) {
width = 3,
shiny::h4(i18n$t("Original data")),
shiny::tableOutput(outputId = ns("orig_data"))
# This doesn't render...
# toastui::datagridOutput2(outputId = ns("orig_data_2"))
),
column(width=1),
column(width = 1),
column(
width = 8,
shiny::h4(i18n$t("Preview of result")),
@ -38,7 +41,7 @@ string_split_ui <- function(id) {
),
actionButton(
inputId = ns("create"),
label = tagList(phosphoricons::ph("pencil"), i18n$t("Save new data")),
label = tagList(phosphoricons::ph("pencil"), i18n$t("Apply split")),
class = "btn-outline-primary float-end"
),
tags$div(class = "clearfix")
@ -51,16 +54,29 @@ string_split_server <- function(id, data_r = reactive(NULL)) {
moduleServer(
id,
function(input, output, session) {
rv <- reactiveValues(data = NULL, temp = NULL, out = NULL)
rv <- reactiveValues(data = NULL, temp = NULL, out=NULL)
ns <- session$ns
bindEvent(observe({
# output$no_splits <- shiny::renderText({
# req({
# data_r()
# })
#
# if (any(is_splittable(data_r()))) {
# i18n$t("No character variables with accepted delimiters detected.")
# }
# })
shiny::observe({
req(data_r())
# if (any(is_splittable(data_r()))) {
data <- data_r()
rv$data <- data
# browser()
vars_num <- vapply(data, \(.x){
is.character(.x)
is_splittable(.x)
}, logical(1))
vars_num <- names(vars_num)[vars_num]
@ -74,19 +90,23 @@ string_split_server <- function(id, data_r = reactive(NULL)) {
selected = if (isTruthy(input$variable)) input$variable else vars_num[1]
)
)
# }
# shinyWidgets::updateVirtualSelect(
# inputId = "variable",
# choices = vars_num,
# selected = if (isTruthy(input$variable)) input$variable else vars_num[1]
# )
}), data_r(), input$hidden)
})
output$delim <- shiny::renderUI({
req(rv$data)
req(input$variable)
# browser()
# req({
# any(apply(data_r(),2,is_splittable))
# })
# if (any(is_splittable(data_r()))) {
data <- rv$data |>
dplyr::select(tidyselect::all_of(input$variable))
@ -98,12 +118,18 @@ string_split_server <- function(id, data_r = reactive(NULL)) {
choices = setNames(
delimiters,
glue::glue("'{delimiters}'")
),selected = 1
), selected = 1
)
# }
})
output$direction <- shiny::renderUI({
# req({
# rv$data
# })
# if (any(is_splittable(data_r()))) {
vectorSelectInput(
inputId = ns("direction"),
label = i18n$t("Direction:"),
@ -120,6 +146,7 @@ string_split_server <- function(id, data_r = reactive(NULL)) {
selected = "wide",
width = "100%"
)
# }
})
observeEvent(
@ -146,9 +173,9 @@ string_split_server <- function(id, data_r = reactive(NULL)) {
}
)
shiny::observeEvent(input$split, {
show_data(rv$temp, title = i18n$t("Browse data preview"), type = "modal")
})
# shiny::observeEvent(input$split, {
# show_data(rv$temp, title = i18n$t("Browse data preview"), type = "modal")
# })
## Toastui would not render the original data, so the solution was to go
## with native table rendering, which works, but doesn't please the eye
@ -156,12 +183,23 @@ string_split_server <- function(id, data_r = reactive(NULL)) {
output$orig_data <- shiny::renderTable({
req(data_r())
req(input$variable)
data <- data_r()|>
data <- data_r() |>
dplyr::select(tidyselect::all_of(input$variable))
# browser()
head(data , 10)
head(data, 10)
})
# output$orig_data_2 <- toastui::renderDatagrid2({
# req(data_r())
# req(input$variable)
# data <- data_r() |>
# dplyr::select(tidyselect::all_of(input$variable))
# # browser()
# toastui::datagrid(head(data, 10))
# })
output$new_data <- shiny::renderTable({
shiny::req(rv$temp)
data <- rv$temp
@ -179,19 +217,40 @@ string_split_server <- function(id, data_r = reactive(NULL)) {
data <- rv$data
separate_string(
data = data,
parameters <- list(
col = input$variable,
delim = input$delim,
direction = input$direction
)
})
out <- tryCatch({
rlang::exec(separate_string, !!!modifyList(
parameters,
list(
data = data
)
))
})
# browser()
# separate_string(
# data = data,
#
# )
code <- rlang::call2(
"separate_string",
!!!parameters,
.ns = "FreesearchR"
)
attr(out, "code") <- code
out})
data_returned_r <- observeEvent(input$create, {
rv$data <- data_split_r()
rv$out <- data_split_r()
})
return(reactive(rv$data))
return(reactive(rv$out))
}
)
}
@ -273,7 +332,7 @@ separate_string <- function(data, col, delim, direction = c("wide", "long")) {
#'
#' @examples
#' sapply(c("Walk - run", "Sel__Re", "what;now"), detect_delimiter)
detect_delimiter <- function(data, delimiters = c("_", "-", ";", "\n",",")) {
detect_delimiter <- function(data, delimiters = c("_", "-", ";", "\n", ",")) {
# Create patterns for each delimiter with potential surrounding whitespace
patterns <- paste0("\\s*\\", delimiters, "+\\s*")
@ -287,3 +346,30 @@ detect_delimiter <- function(data, delimiters = c("_", "-", ";", "\n",",")) {
Reduce(c, out)
}
#' Determine if any variable in data frame character and contains recognized delimiters
#'
#' @param data vector or data.frame
#'
#' @returns logical
#' @export
#'
#' @examples
#' any(apply(mtcars, 2, is_splittable))
#' is_splittable(mtcars)
is_splittable <- function(data) {
if (is.data.frame(data)) {
return(apply(data, 2, is_splittable))
}
if (is.character(data)) {
if (length(Reduce(c, unique(sapply(data, detect_delimiter)))) > 0) {
TRUE
} else {
FALSE
}
} else {
FALSE
}
}

View file

@ -299,7 +299,7 @@ ui_elements <- function(selection) {
width = "100%"
),
shiny::tags$br(),
shiny::helpText(i18n$t("Split a text column by a custom delimiter.")),
shiny::helpText(i18n$t("Split a text column by a recognised delimiter.")),
shiny::tags$br(),
shiny::tags$br()
),

21
man/is_splittable.Rd Normal file
View file

@ -0,0 +1,21 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/separate_string.R
\name{is_splittable}
\alias{is_splittable}
\title{Determine if any variable in data frame character and contains recognized delimiters}
\usage{
is_splittable(data)
}
\arguments{
\item{data}{vector or data.frame}
}
\value{
logical
}
\description{
Determine if any variable in data frame character and contains recognized delimiters
}
\examples{
any(apply(mtcars, 2, is_splittable))
is_splittable(mtcars)
}