Support cookbook in `connectapi`: Viewing Execution Environment Runtimes

• Viewing Execution Environment Runtimes
• See also Creating Execution Environments

The code below imagines a basic / bare-bones approach, but execution environments are a resource class with CRUD methods, so — thinking about it, that should be our approach.

So, this looks like

Viewing Execution Environment Runtimes

library(connectapi)

IMAGE_NAME <- "ghcr.io/rstudio/content-pro:r4.1.3-py3.10.4-bionic"

client <- connect()

all_images <- get_environments(client)
environments[[IMAGE_NAME]]$runtimes

# A tibble: 3 × 3
   language version path
   <chr>    <chr>   <chr>
 1 Python   3.10.4  /opt/python/3.10.4/bin/python3
 2 Quarto   1.0.35  /opt/quarto/bin/quarto
 3 R        4.1.3   /opt/R/4.1.3/bin/R

Notes

• The subsetting looks kinda janky. I'm assuming here that environments is a list of environments with more than just runtimes, but if all we care about here is runtimes, I guess I could imagine a few return formats: (1) a data frame with a column for environment name; (2) a list of environments, each a list with multiple fields including runtimes; (3) a list of environments, each an object with multiple fields including runtimes; (4) a list of runtime tibbles. [Update] We should do number (3).