https://github.com/averissimo/verdepcheck-status
https://github.com/averissimo/verdepcheck-status
Last synced: about 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/averissimo/verdepcheck-status
- Owner: averissimo
- Created: 2024-03-26T17:16:10.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-30T04:33:59.000Z (over 1 year ago)
- Last Synced: 2024-10-30T07:22:46.927Z (over 1 year ago)
- Language: R
- Size: 237 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
README
---
title: "{verdepcheck} status"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
```{r, eval=FALSE, include=FALSE}
rmarkdown::render("README.Rmd", output_file = "README.md", output_format = "md_document")
```
```{r, include=FALSE}
library(verdepcheck.status)
```
Last updated on `r strftime(Sys.time(), format = "%Y-%m-%d %H:%M:%S %Z")` [](https://github.com/averissimo/verdepcheck-status/actions/workflows/update.yaml)
_notes:_
- This table is automatically generated from the latest GitHub Actions status.
- ❓ indicates that the job might still be running, click on it to find out more.
```{r build, echo=FALSE, include=FALSE}
job_details <- c(
"teal", "teal.code", "teal.data", "teal.slice", "teal.reporter", "teal.logger"
,
"teal.transform", "teal.widgets",
#
"teal.modules.general", "teal.modules.clinical",
#
"formatters", "rtables", "rlistings", "tern.gee", "tern.mmrm", "tern.rbmi", "tern", "chevron",
"dunlin", "citril.metadata", "citril", "random.cdisc.data", "scda", "scda.2022",
#
"osprey", "goshawk", "teal.goshawk", "teal.osprey"
) |>
lapply(build_pkg_table) |>
dplyr::bind_rows()
```
```{r print, echo=FALSE}
job_details |>
dplyr::rowwise() |>
dplyr::mutate(
badge = sprintf("%s (%s)", icon, status),
badge_l = dplyr::if_else(
is.na(status) | vapply(status, is.null, logical(1)),
list(""),
purrr::map2(badge, url, \(a, b) htmltools::a(href = b, a) |> as.character())
)
) |>
dplyr::select(package, name, badge_l) |>
dplyr::filter(name != "min") |>
tidyr::pivot_wider(names_from = name, values_from = badge_l, values_fill = list("")) |>
dplyr::select(package, min_isolated, min_cohort, release, max) |>
knitr::kable()
```