Title: | Reactivity Visualizer for 'shiny' |
---|---|
Description: | Building interactive web applications with R is incredibly easy with 'shiny'. Behind the scenes, 'shiny' builds a reactive graph that can quickly become intertwined and difficult to debug. 'reactlog' (Schloerke 2019) <doi:10.5281/zenodo.2591517> provides a visual insight into that black box of 'shiny' reactivity by constructing a directed dependency graph of the application's reactive state at any time point in a reactive recording. |
Authors: | Barret Schloerke [aut, cre] , Joe Cheng [ctb], RStudio [cph, fnd] |
Maintainer: | Barret Schloerke <[email protected]> |
License: | GPL-3 | file LICENSE |
Version: | 1.1.1 |
Built: | 2024-11-16 03:49:44 UTC |
Source: | https://github.com/rstudio/reactlog |
Displays an iframe of the reactlog in the given application.
reactlog_module_ui(include_refresh = TRUE, id = "reactlog_module") reactlog_module_server( id = "reactlog_module", width = "100%", height = 600, ... )
reactlog_module_ui(include_refresh = TRUE, id = "reactlog_module") reactlog_module_server( id = "reactlog_module", width = "100%", height = 600, ... )
include_refresh |
should the iframe refresh button be included? |
id |
shiny module id to use |
width , height
|
HTML attributes to be applied to the reactlog iframe |
... |
parameters passed to |
State will not be preserved between refreshes.
To open the reactlog at a particular step, be sure to mark your time points
with Cmd+Shift+F3
(Windows: Ctrl+Shift+F3
)
if (!require("shiny")) { message("`shiny` required to run example") return() } library(shiny) # Enable reactlog reactlog_enable() # Define UI for app that draws a histogram ---- ui <- fluidPage( tags$h1("Pythagorean theorem"), numericInput("a", "A", 3), numericInput("b", "B", 4), "C:", verbatimTextOutput("c"), ### start ui module reactlog_module_ui() ### end ui module ) server <- function(input, output, session) { a2 <- reactive({a <- input$a; req(a); a * a}, label = "a^2") b2 <- reactive({b <- input$b; req(b); b * b}, label = "b^2") c2 <- reactive({a2() + b2()}, label = "c^2") c_val <- reactive({sqrt(c2())}, label = "c") output$c <- renderText({ c_val() }) ### start server module reactlog_module_server() ### end server module } if (interactive()) { shinyApp(ui = ui, server = server) }
if (!require("shiny")) { message("`shiny` required to run example") return() } library(shiny) # Enable reactlog reactlog_enable() # Define UI for app that draws a histogram ---- ui <- fluidPage( tags$h1("Pythagorean theorem"), numericInput("a", "A", 3), numericInput("b", "B", 4), "C:", verbatimTextOutput("c"), ### start ui module reactlog_module_ui() ### end ui module ) server <- function(input, output, session) { a2 <- reactive({a <- input$a; req(a); a * a}, label = "a^2") b2 <- reactive({b <- input$b; req(b); b * b}, label = "b^2") c2 <- reactive({a2() + b2()}, label = "c^2") c_val <- reactive({sqrt(c2())}, label = "c") output$c <- renderText({ c_val() }) ### start server module reactlog_module_server() ### end server module } if (interactive()) { shinyApp(ui = ui, server = server) }
Provides an interactive browser-based tool for visualizing reactive dependencies and execution in your application.
reactlog_render(log, session_token = NULL, time = TRUE) reactlog_show(log, time = TRUE, ...)
reactlog_render(log, session_token = NULL, time = TRUE) reactlog_show(log, time = TRUE, ...)
log |
Log produced by shiny to be processed |
session_token |
token to be used to subset which session is displayed. Defaults to all sessions. |
time |
A boolean that specifies whether or not to display the time that each reactive takes to calculate a result. |
... |
Future parameter expansion. Currently ignored |
To use the reactive log visualizer, start with a fresh R session and
run the command reactlog_enable()
; then launch your
application in the usual way (e.g. using shiny::runApp()
). At
any time you can hit
Ctrl+F3
(or for Mac users,
Cmd+F3
) in your web browser to launch the reactive log visualization.
The reactive log visualization only includes reactive activity up until the time the report was loaded. If you want to see more recent activity, refresh the browser.
Note that Shiny does not distinguish between reactive dependencies that "belong" to one Shiny user session versus another, so the visualization will include all reactive activity that has taken place in the process, not just for a particular application or session.
As an alternative to pressing
Ctrl/Cmd+F3
–for example, if you
are using reactives outside of the context of a Shiny
application–you can run the shiny::reactlogShow()
function, which will
generate the reactive log visualization as a static HTML file and
launch it in your default browser. In this case, refreshing your
browser will not load new activity into the report; you will need to
call shiny::reactlogShow()
explicitly.
For security and performance reasons, do not enable the reactlog in production environments. When the option is enabled, it's possible for any user of your app to see at least some of the source code of your reactive expressions and observers.
shiny::reactlogShow()
and
reactlog_enable()
## Not run: library(shiny) library(reactlog) # tell shiny to log reactivity reactlog_enable() # run a shiny app app <- system.file("examples/01_hello", package = "shiny") runApp(app) # once app has closed, display reactlog shiny::reactlogShow() ## End(Not run)
## Not run: library(shiny) library(reactlog) # tell shiny to log reactivity reactlog_enable() # run a shiny app app <- system.file("examples/01_hello", package = "shiny") runApp(app) # once app has closed, display reactlog shiny::reactlogShow() ## End(Not run)
Write the reactlog to a file. If a session token is provided, all reactive interactions will be subsetted to either the global session or the session provided.
reactlog_write(log, file = stdout(), session_token = NULL)
reactlog_write(log, file = stdout(), session_token = NULL)
log |
produced by shiny to be written |
file |
location of output file. If a |
session_token |
Session token identifier to be used when subsetting the complete reactlog |
Before the reactlog can be visualized, it needs to be enabled. For security and performance reasons, you should not enable the reactlog in a shiny app in production.
reactlog_enable() reactlog_disable(warn = TRUE)
reactlog_enable() reactlog_disable(warn = TRUE)
warn |
Should a warning message be shown? |