coatless-quarto/r-shinylive-demo

Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)

r-shinylive-demo's Issues

How to run the app after creation?

Thanks for your work and it is nice.

I've successfully created an app in a local drive \app1.

Now I can run this app using httpuv::runStaticServer("\app1") in R.

Now what should I do so others can view it without R and R server.

Support for Quarto Shiny dashboards

In recent months there's been significant development in Quarto Dashboards, and Shinylive integration in Quarto. However, at present, it is not possible to integrate Shinylive specifically within a Quarto Dashboard running a Shiny application.

As Quarto dashboards use a somewhat similar structure to standard Shiny apps, I think integration of this feature in Shinylive would be feasible & extend Shinylive applicability and use cases.

[BUG] Not Found error when rendering the shinylive app

I went to the site "https://quarto.thecoatlessprofessor.com/r-shinylive-demo/", but saw a "Not Found" error in the shinylive app (see screenshot attached). When I tried to render the preview locally by following the steps in the demo, I also had a "Not Found" error on local host.

shinylive asset directory error on Windows

Hi James, what a nice work that you are doing here! I tried to run the example (following the instructions here and from youtube) but cound´t make it work!
The error log is as following:

Error running Rscript (error code 1): <no output>
`C:/Users/arthur/AppData/Local/shinylive/shinylive/Cache/shinylive-0.2.0` assets directory does not exist.

Using shinylive::assets_ensure(), it tried to fix the error:

`C:/Users/arthur/AppData/Local/shinylive/shinylive/Cache/shinylive-0.2.0` assets directory does not exist.
Downloading shinylive v0.2.0...
trying URL 'https://github.com/posit-dev/shinylive/releases/download/v0.2.0/shinylive-0.2.0.tar.gz'
Content type 'application/octet-stream' length 254533686 bytes (242.7 MB)
downloaded 147.5 MB

Warning: downloaded length 154707153 != reported length 254533686Warning: URL 'https://objects.githubusercontent.com/github-production-release-asset-2e65be/487125727/7829914b-cc7b-4f3c-8b2d-7ee3cb9c8f70?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20230922%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230922T173955Z&X-Amz-Expires=300&X-Amz-Signature=a9f86f6726d92c9866607225bcc454843faefa46bce022ac85b5061375f9d86f&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=487125727&response-content-disposition=attachment%3B%20filename%3Dshinylive-0.2.0.tar.gz&response-content-type=application%2Foctet-stream': Timeout of 60 seconds was reachedError in utils::download.file(url, destfile = tmp_targz, method = "auto") : 
  download from 'https://github.com/posit-dev/shinylive/releases/download/v0.2.0/shinylive-0.2.0.tar.gz' failed

any thoughts?

Problem converting an existing example app to Quarto standalone

I can run the below example Shiny app as an app.R (which pulls in some external data) without any problems, but get "page not found" (404) when attempting to Render within a Quarto document as a standalone app.

Within the same Quarto document, I have the demo (histogram) example as a second standalone app in a separate {shinylive-r} chunk and this is rendering correctly, so the Quarto set-up (extension, filter etc.) is working fine.

Any thoughts?

```{shinylive-r}
#| standalone: true
#| viewerHeight: 600
library(shiny)
library(gridlayout)
library(rvest)
library(tidyverse)
library(scales)
library(pageviews)
library(lubridate)
library(bslib)
library(wesanderson)

charts <-
  tibble(
    chart = read_html(str_c(
      "https://en.wikipedia.org/wiki/",
      "Category:Statistical_charts_and_diagrams"
    )) |>
      html_elements(".mw-category-group a") |>
      html_text()
  )

pv <- function(article) {
  article_pageviews(
    project = "en.wikipedia",
    article,
    user_type = "user",
    start = "2015070100",
    end = today()
  )
}

theme_set(theme_bw())

cols <- wes_palette(8, name = "IsleofDogs1", type = "continuous")

ui <- grid_page(
  theme = bs_theme(version = 5, 
                   bootswatch = "simplex",
                   primary = "#9986A5"),
  layout = c(
    "header  header",
    "sidebar line "
  ),
  row_sizes = c(
    "100px",
    "1fr"
  ),
  col_sizes = c(
    "250px",
    "1fr"
  ),
  gap_size = "1rem",
  grid_card(
    area = "sidebar",
    item_alignment = "top",
    title = "Options",
    item_gap = "13px",
    dateRangeInput("dates",
      label = "Date range",
      start = "2015-07-01",
      end = NULL
    ),
    selectizeInput(
      inputId = "article",
      label = "Chart type",
      choices = charts,
      selected = c(
        "Violin plot",
        "Dendrogram",
        "Histogram",
        "Pie chart",
        "Q–Q plot",
        "Error bar"
      ),
      options = list(maxItems = 8),
      multiple = TRUE
    ),
    selectInput(
      inputId = "scales",
      label = "Fixed or free y-axis",
      choices = c("Fixed" = "fixed", "Free" = "free"),
      selected = "fixed"
    ),
    selectInput(
      inputId = "log10",
      label = "Log 10 or normal y-axis",
      choices = c("Log 10" = "log10", "Normal" = "norm"),
      selected = "log10"
    )
  ),
  grid_card_text(
    area = "header",
    content = "   Plot Plotter   ",
    alignment = "center",
    is_title = FALSE
  ),
  grid_card_plot(area = "line")
)

server <- function(input, output, session) {
  subsetr <- reactive({
    req(input$article)
    pageviews <- map_dfr(input$article, pv) |>
      mutate(
        date = ymd(date),
        article = str_replace_all(article, "_", " ")
      ) |>
      filter(date >= input$dates[1], date <= input$dates[2])
  })

  output$line <- renderPlot({
    p <- ggplot(
      subsetr(),
      aes(date,
        views,
        colour = article
      )
    ) +
      geom_line() +
      scale_colour_manual(values = cols) +
      geom_smooth(colour = cols[7]) +
      facet_wrap(~article, nrow = 1, scales = input$scales) +
      theme(
        legend.position = "none",
        axis.text.x = element_text(angle = 45, hjust = 1),
        plot.margin = margin(1, 1, 1, 1, "cm")
      ) +
      labs(
        x = NULL, y = NULL,
        caption = "\nSource: Daily Wikipedia Article Page Views"
      )

    switch(input$log10,
      norm = p,
      log10 = p + scale_y_log10(labels = label_number(scale_cut = cut_short_scale()))
    )
  })
}

shinyApp(ui, server)
```

Shinylive in posts

Hi, thanks for the great demo! I managed to reproduce it following your demo.

I wonder if I can have this feature for every posts in a Blog? Do I need to install the extensions for every posts? Thanks!

Question: Service Workers

I noticed your comments on the service workers not being uploaded and I have been trying to troubleshoot my way through this. I have tried to add the resource explicitly numerous times including:

• top of the .qmd I'm using

format:
  html:
    resources:
      - shinylive-sw.js
      
filters:
  - shinylive

• in the _quarto.yml file

project:
  type: website
  resources: 
    - shinylive-sw.js

I still get the error in my web browser that the service worker cannot be found. Were there any other suggestions on what to try? Or do you know anything about this being added to the v1.5 milestone? I know you logged the original issue and they assigned it to the milestone but wasn't sure if I missed any updated on that.

Thanks for your walkthrough! It's been very useful.

How to show the app code along with the app in shinylive?

Thank you for providing this demo. Really useful!

I was wondering if it is possible to show the code alongside the app? Similar to the display.mode = "showcase" option in runApp()? I tried it in the shinylive-r chunk but the app did not render.

Creating a Serverless R Shiny App using Quarto with R Shinylive

I've followed TheCoatlessProfessor and using the steps the following files are created (please see attached file).

But it didn't create shinylivedemo-sw.js. Any idea why. I am using RStudio on Windows 10.

`library(bslib)` needed in step 5

Very exciting to have shinylive for R in Quarto!

Please note, library(bslib) is needed in step 5 as discovered via quarto-dev/quarto-cli#7370 .