feat: Publish scripts as Quarto documents

[brooklynbagel]

Description

Connect supports rendering scripts (.py and .R) files as Quarto documents, see https://docs.posit.co/connect/user/scripts/. There's some front-matter that needs to be added that makes Quarto recognize them as renderable, see https://quarto.org/docs/computations/render-scripts.html#syntax and the scripts are renders using Jupyter or Knitr. However, the Publisher extension does not know how to handle these types of files. For example, if I try to publish the following R script

#' ---
#' title: "R script file"
#' ---

# Randomly generate data that acts as 30-day trailing unit sales.
today <- Sys.Date()
data <- data.frame(
  Date = today - 1:30,
  Sales = sample(75:100, 30, replace = TRUE)
)

# Write a CSV for downstream use.
write.csv(data, "sales.csv", row.names = FALSE)

#' Download [CSV](sales.csv)

Publisher generates the following configuration

# Configuration file generated by Posit Publisher.
# Please review and modify as needed. See the documentation for more options:
# https://github.com/posit-dev/publisher/blob/main/docs/configuration.md
product_type = 'connect'
'$schema' = 'https://cdn.posit.co/publisher/schemas/posit-publishing-schema-v3.json'
type = 'unknown'
entrypoint = 'rscript.R'
validate = true
files = [
  '/rscript.R',
  '/renv.lock',
  '/.posit/publish/render-rscript-reprex-545N.toml',
  '/.posit/publish/deployments/deployment-OVT9.toml'
]
title = 'render-rscript-reprex'

Where the type config should be quarto-static, and an [r] and [quarto] block are missing.

Note

It does appear that Publisher knows how to handle .py handles rendered with Jupyter.

# %% [markdown]
# ---
# title: "Python script file"
# ---

# %%
import datetime
import pandas as pd
import random

# Randomly generate data that acts as 30-day trailing unit sales.
today = datetime.date.today()
data = pd.DataFrame({
    'Date': pd.date_range(
        today - datetime.timedelta(days=30),
        today - datetime.timedelta(days=1),
    ),
    'Sales': [random.randint(75, 100) for _ in range(1, 31)],
})


# Write a CSV for downstream use.
data.to_csv("sales.csv", index=False)

# %% [markdown]
# Download [CSV](sales.csv)

Publisher generates the configuration

# Configuration file generated by Posit Publisher.
# Please review and modify as needed. See the documentation for more options:
# https://github.com/posit-dev/publisher/blob/main/docs/configuration.md
product_type = 'connect'
'$schema' = 'https://cdn.posit.co/publisher/schemas/posit-publishing-schema-v3.json'
type = 'quarto-static'
entrypoint = 'pyscript.py'
validate = true
files = [
  '/pyscript.py',
  '/requirements.txt',
  '/renv.lock',
  '/.posit/publish/Python script file-HT68.toml',
  '/.posit/publish/deployments/deployment-GDCC.toml'
]
title = 'Python script file'

[python]

[quarto]
version = '1.7.32'
engines = ['jupyter']