Organize and Curate Your Content Within RStudio Connect • connectwidgets

Curate your content on RStudio Connect

connectwidgets is an R package that can be used to query an RStudio Connect server for a subset of your existing content items, then organize them within htmlwidget components in an R Markdown document or Shiny application.

Use connectwidgets to create a content hub or knowledge repository, a customized summary page for a particular group of stakeholders, or a presentation layer for any group of related content.

Installation

You can install connectwidgets from CRAN using:

install.packages("connectwidgets")

Alternatively, you can install the development version from GitHub:

# install.packages("remotes")
remotes::install_github("rstudio/connectwidgets")

Example

Use the template:

rmarkdown::draft("example-page.Rmd", template = "connectwidgets", package = "connectwidgets")

You can also copy and knit the following example, or read on for more details:

---
title: an example page
output: html_document
---

```{r setup, include=FALSE}
library(connectwidgets)
library(dplyr)

knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE)

client <- connect(
  # server  = Sys.getenv("CONNECT_SERVER"),
  # api_key = Sys.getenv("CONNECT_API_KEY")
  )

all_content <- client %>%
  content()

sample_content <- all_content %>%
  arrange(desc(updated_time)) %>%
  slice_head(n = 50)
```

![](https://source.unsplash.com/1920x1080/?forest "A random forest.")

## Components

### card

```{r card}
sample_content %>%
  slice(1) %>%
  rsc_card()
```

### grid

```{r grid}
sample_content %>%
  rsc_grid()
```

### table

```{r table}
sample_content %>%
  rsc_table()
```

### search & filter

```{r search-and-filter}
rsc_cols(rsc_search(all_content), rsc_filter(all_content), widths = c(2, 2))
rsc_table(all_content)
```

Setup

The client object:

Validates your API key with the RStudio Connect server
Ensures you are running a recent enough version of Connect

Use an .Renviron file to set the CONNECT_SERVER and CONNECT_API_KEY environment variables. If you’re not familiar with setting environment variables, check out the R Startup chapter of What They Forgot to Teach You About R. RStudio Connect will automatically apply values for these at document run time, so there is no need to include them in your code:

library(connectwidgets)
library(dplyr, warn.conflicts = FALSE)

knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE)

client <- connect(
  # server  = Sys.getenv("CONNECT_SERVER"),
  # api_key = Sys.getenv("CONNECT_API_KEY")
  )

all_content <- client %>%
  content()

glimpse(all_content)
#> Rows: 1,213
#> Columns: 15
#> $ id               <int> 3979, 4603, 4602, 5061, 5015, 5054, 5055, 5052, 5030,…
#> $ guid             <chr> "ca22a1f6-bab5-4fc0-8f38-ed8021be41f5", "e7c26684-ec4…
#> $ name             <chr> "github-issues-connect", "group-info", "user-info", "…
#> $ title            <chr> NA, "group-info", "user-info", "plumbertabeau", "RSC+…
#> $ description      <chr> "A table pin with 19718 rows and 10 columns.", "Resul…
#> $ app_mode         <chr> "static", "static", "static", "api", "static", "api",…
#> $ content_category <chr> "pin", "pin", "pin", "api", "site", "api", "", "", "s…
#> $ url              <chr> "https://rsc.radixu.com/content/ca22a1f6-bab5-4fc0-8f…
#> $ owner_guid       <chr> "1d6cc041-eb11-411e-810e-718508cde25b", "0fc96747-ec9…
#> $ owner_username   <chr> "brian", "kelly.obriant", "kelly.obriant", "david", "…
#> $ owner_first_name <chr> "Brian", "Kelly", "Kelly", "E. David", "Aron", "Toph"…
#> $ owner_last_name  <chr> "Smith", "@RStudio", "@RStudio", "Aja", "Atkins", "Al…
#> $ tags             <list> [<data.frame[2 x 5]>], [<data.frame[1 x 5]>], [<data…
#> $ created_time     <dttm> 2020-04-03 17:54:27, 2020-12-05 02:37:30, 2020-12-05…
#> $ updated_time     <dttm> 2021-07-28 07:03:10, 2021-07-28 07:00:41, 2021-07-28…

sample_content <- all_content %>%
  arrange(desc(updated_time)) %>%
  slice_head(n = 100)

`content()`

content() returns a data frame with the following columns:

id - Auto-incrementing identifier for each content item (legacy)
guid - Unique identifier for each content item (preferred)
app_mode - The type of the content item (examples: shiny, rmd-static, static, python-dash, etc.)
content_category - For static app modes, the specific category of content (examples: site, plot, pin, etc.)
name - The name of the content item as set at initial publishing
title - The user-provided title of the content item
description - The user-provided description of the content item
url - The URL to the content item
owner_guid - Unique identifier of the owner of the content item
owner_username - Username of the owner of the content item
owner_first_name - First name of the owner of the content item
owner_last_name - Last name of the owner of the content item
tags - A data frame of the tags associated with the content item, with the following columns: id, name, parent_id, created_time, updated_time.
created_time - The timestamp at which the content item was created
updated_time - The timestamp at which the content item was last updated

The data frame contains one row for each item visible to the requesting user. For users in an “administrator” role, that will be all content items.

Filtering Content

We provide helper functions to filter by both owners and tags.

by_tags() - Filters the data frame to only include content that has been tagged with the specified tag name(s). You can pass a single tag name or a vector of tag names. by_tag is provided as an alias for readability when using a single tag.
by_owners() - Filters the data frame to only include content with the specified owner(s) by username. You can pass a single username or a vector of usernames. by_owner is provided as an alias for readability when using a single username.

all_content %>% 
  by_tag("Audit Reports")
#> # A tibble: 6 x 15
#>      id guid  name  title description app_mode content_category url   owner_guid
#>   <int> <chr> <chr> <chr> <chr>       <chr>    <chr>            <chr> <chr>     
#> 1  4875 7cbd… Audi… Audi… Using the … rmd-sta… ""               http… 0fc96747-…
#> 2  4619 b191… tag-… Tag … List all t… rmd-sta… ""               http… 0fc96747-…
#> 3  4618 4348… acl-… Cont… Generate a… rmd-sta… ""               http… 0fc96747-…
#> 4  4597 6a8f… cont… Basi… List all c… rmd-sta… ""               http… 0fc96747-…
#> 5  4596 3f7a… vani… Vani… List all d… rmd-sta… ""               http… 0fc96747-…
#> 6  4595 5687… envi… R an… R and Pyth… rmd-sta… ""               http… 0fc96747-…
#> # … with 6 more variables: owner_username <chr>, owner_first_name <chr>,
#> #   owner_last_name <chr>, tags <list>, created_time <dttm>,
#> #   updated_time <dttm>

Since all_content is a tibble(), you can also manipulate it with dplyr:

all_content %>% 
  filter(updated_time >= "2021-01-01") %>% 
  arrange(created_time)
#> # A tibble: 77 x 15
#>       id guid    name    title  description    app_mode content_category url    
#>    <int> <chr>   <chr>   <chr>  <chr>          <chr>    <chr>            <chr>  
#>  1  1440 d7bf0e… cs_rep… cs_re… ""             rmd-sta… ""               https:…
#>  2  1890 be63ca… rmd     rmd4   "This rmd is … rmd-sta… ""               https:…
#>  3  3724 b5e57e… team-d… Team-… ""             static   ""               https:…
#>  4  3979 ca22a1… github… <NA>   "A table pin … static   "pin"            https:…
#>  5  4364 9ffbbd… shiny-… shiny… ""             shiny    ""               https:…
#>  6  4602 e21598… user-i… user-… "Results pull… static   "pin"            https:…
#>  7  4603 e7c266… group-… group… "Results pull… static   "pin"            https:…
#>  8  4630 f12eb8… top-5-… top-5… ""             python-… ""               https:…
#>  9  4631 68c9b2… top-5-… top-5… ""             python-… ""               https:…
#> 10  4650 ebdea3… reticu… retic… ""             static   ""               https:…
#> # … with 67 more rows, and 7 more variables: owner_guid <chr>,
#> #   owner_username <chr>, owner_first_name <chr>, owner_last_name <chr>,
#> #   tags <list>, created_time <dttm>, updated_time <dttm>

Components

Once your content data are filtered, connectwidgets provides components for displaying information about them. The title, description, and preview image can be set from the RStudio Connect dashboard. For content deployed to Connect where no image has been supplied, a default image will be used.

Note: In many cases, you will only see default images until your content is deployed.

card

Use a card to highlight an individual piece of content:

a sample card

grid

Display multiple content items via a grid:

a sample grid

table

Provide a more detailed view with a table:

a sample table

search & filter

The search and filter components help viewers find the content they are most interested in. You must pass the same content data frame to rsc_search(), rsc_filter(), and rsc_table() or rsc_grid() in order for filter and search to work. You can also create your own crosstalk::SharedData() object to pass to the components if you want more control over searching and filtering. Read more at vignette("using-crosstalk").

Theming

connectwidgets components support styling in rmarkdown::html_document via the bslib package. You can supply a Bootswatch theme in the yaml header, e.g.:

---
output:
  html_document:
    theme:
      bootswatch: minty
---

or pass a custom theme consistent with your organization’s style:

---
output:
  html_document:
    theme:
      bg: "#FFF"
      fg: "#22333B" 
      primary: "#4F772D"
      dark: "#252525"
      light: "#DCE6D3"
      base_font: "Lato, sans-serif"
      heading_font: "Lato, sans-serif"
      border-color: "#E9F5DB"
      gray-100: "#F7FCF0"
---

Once you’re happy with the look of your page, Publish it to RStudio Connect. Read more at vignette("publishing").

A more customized example:

Putting it all together, the example API portal page below:

uses CSS to create a full-width image with inset text
uses a Bootswatch theme
overrides the description text for a couple of cards

If no APIs are deployed on your RStudio Connect server, try filtering for static documents or Shiny apps instead.

---
output:
  html_document:
    theme:
      bootswatch: lumen
---

```{css, echo=FALSE}
.main-container {
    width: 100%;
    max-width: unset;
}

.main {
    max-width: 940px;
    margin-left: auto;
    margin-right: auto;
}

/* https://codepen.io/eversionsystems/pen/YOmqdj */
.jumbotron {
  color: white;
  background-image: url("https://source.unsplash.com/d30sszrW7Vw/1920x1080");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  height: 50vh;
}
```

```{r, include=FALSE}
library(connectwidgets)
library(dplyr)
library(htmltools)

knitr::opts_chunk$set(
  comment = "",
  echo = FALSE, warning = FALSE, message = FALSE
)

rsc_content <-
  connect() %>%
  content()

apis <- rsc_content %>%
  filter(app_mode %in% c("api", "python-api"))
```

```{r}
div(
  class = "jumbotron jumbotron-fluid",
  div(
    class = "container",
    h1("Connect API Portal", class = "display-4"),
    p("Model APIs maintained by the data science team")
  )
)
```

```{r}
div(
  class = "main",
  h3("Featured APIs", class = "text-center"),
  {
    model_copy <- c(
      "Our most important model: Distillery retro taiyaki fashion axe.
      Art party cray intelligentsia flexitarian.",
      "Our second most important model: Pug af twee portland pitchfork brunch
      kogi gochujang organic migas shaman four dollar toast 90's slow-carb."
      )

    apis %>%
      slice_head(n = 2) %>%
      mutate(
      description = model_copy
      ) %>%
      rsc_card()
  },
  h3("All APIs", class = "text-center"),
  p("that thing George Box said one time. You know what thing."),
  {
    tagList(
      rsc_cols(rsc_search(apis), rsc_filter(apis)),
      rsc_grid(apis)
    )
  }
)
```

connectwidgets