Content Runtimes#
R and Python versions in use#
This recipe contains an R Markdown document that presents a table detailing the R and Python versions used by content deployed to a Posit Connect server.
The document uses the GET /v1/content
endpoint to obtain information about content. This API call returns every
content item visible to your API key.
Tip
Use the GET
/v1/server_settings/r
,
GET /v1/server_settings/python
, and GET /v1/server_settings/quarto
endpoints to determine the full set of R, Python, and Quarto
versions available on your server.
---
title: "R+Python versions in use"
---
This document analyzes the R and Python interpreter versions used to
run content on the Posit Connect server. The table presents the
number of unique content items currently using each combination of
R and Python versions.
```{r setup, echo = FALSE, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
```{r libraries, echo = FALSE, message = FALSE}
library(httr)
library(jsonlite)
library(magrittr)
library(dplyr)
library(knitr)
# Ignore summarise telling us about the grouping.
options(dplyr.summarise.inform = FALSE)
```
```{r verification, echo = FALSE}
# Confirm that environment variables are available.
connectServer <- Sys.getenv("CONNECT_SERVER")
if (nchar(connectServer) == 0) {
stop("Set the CONNECT_SERVER environment variable.")
}
connectAPIKey <- Sys.getenv("CONNECT_API_KEY")
if (nchar(connectAPIKey) == 0) {
stop("Set the CONNECT_API_KEY environment variable.")
}
contentURL <- paste0(connectServer, "/__api__/v1/content")
```
```{r fetch, echo = FALSE}
# Fetch all content items from Posit Connect.
res <- httr::GET(
contentURL,
httr::add_headers(Authorization = paste("Key", connectAPIKey)),
httr::write_memory()
)
if (httr::http_error(res)) {
err <- sprintf(
"%s request failed with %s",
res$request$url,
httr::http_status(res)$message
)
message(capture.output(str(httr::content(res))))
stop(err)
}
payload <- httr::content(res, as = "text")
apps <- jsonlite::fromJSON(payload, simplifyDataFrame = TRUE)
```
```{r report, echo = FALSE}
# Retain only MAJOR.MINOR version components.
major_minor <- function(versions) {
sapply(versions, function(version) {
if (is.na(version) || version == "") {
NA
} else {
parts <- strsplit(version, ".", fixed = TRUE)[[1]]
paste(parts[1:2], collapse = ".")
}
})
}
# Report the number of content items with each combination of
# R and Python MAJOR.MINOR versions.
r_py <- apps %>%
mutate(
R = major_minor(r_version),
Python = major_minor(py_version)) %>%
select(R, Python) %>%
group_by(R, Python) %>%
summarise(N = n()) %>%
arrange(desc(R), desc(Python)) %>%
ungroup()
kable(r_py)
```