README

foghorn makes accessible to the R terminal the CRAN check results for packages maintained by individuals, or for other packages of interest. The results are presented as a colored summary, or as a tibble. The function that generates the summary is designed to be called from your .Rprofile so you can check on the status of the packages regularly.

As new features are introduced in development versions of R, or new policies are put in place, packages that are not updated frequently may start generating warnings or errors when checked on CRAN’s infrastructure. foghorn brings this information to your terminal so you don’t have to leave the comfort of your R session to know the results of the CRAN checks for your packages.

Installation

pak::pkg_install("fmichonneau/foghorn")

install.packages("foghorn")

Demonstration

## load the package
library(foghorn)

foghorn provides the results of the package CRAN checks. As a maintainer, you can easily get the results of the checks for your packages by using the email address included in the DESCRIPTION file of your packages.

summary_cran_results() provides you with a graphical summary of the results of the CRAN checks. The number in parenthesis after the name of the package indicates the number of platforms used by CRAN that produced this result. If CRAN has set a deadline by which your package needs to be updated before it gets archived, that date will be shown in the output.

## Graphical interface
summary_cran_results(email = "francois.michonneau@gmail.com", pkg = "lme4")
#> ✔ All clear for foghorn, phylobase, and riceware!
#> ★  Packages with notes on CRAN: 
#>   - lme4 (11) [Fix before: 2024-07-16]
#>   - rncl (12)
#>   - rotl (10)
#> ◉  Package with other issues on CRAN: 
#>   - lme4 [Fix before: 2024-07-16]

summary_cran_results() is actually an alias of summary(cran_results()), meaning that you can call cran_results() directly if you want to easily access the underlying data for the results of the CRAN checks. These results are stored in a tibble.

## Results of the checks as a tibble
cran_results(email = "francois.michonneau@gmail.com")
#> # A tibble: 5 × 8
#>   package   error  fail  warn  note    ok deadline has_other_issues
#>   <chr>     <int> <int> <int> <int> <int> <chr>    <lgl>           
#> 1 foghorn       0     0     0     0    13 <NA>     FALSE           
#> 2 phylobase     0     0     0     0    13 <NA>     FALSE           
#> 3 riceware      0     0     0     0    13 <NA>     FALSE           
#> 4 rncl          0     0     0    12     1 <NA>     FALSE           
#> 5 rotl          0     0     0    10     3 <NA>     FALSE

In addition of your own packages, you can also check the results for any other packages that might be of interest to you:

## either by themselves
summary_cran_results(pkg = c("ggplot2", "dplyr"))
#> ★  Packages with notes on CRAN: 
#>   - dplyr (5)
#>   - ggplot2 (8)


cran_results(pkg = c("ggplot2", "dplyr"))
#> # A tibble: 2 × 8
#>   package error  fail  warn  note    ok deadline has_other_issues
#>   <chr>   <int> <int> <int> <int> <int> <chr>    <lgl>           
#> 1 dplyr       0     0     0     5     8 <NA>     FALSE           
#> 2 ggplot2     0     0     0     8     5 <NA>     FALSE


## or by combining them with email addresses
summary_cran_results(
  email = "francois.michonneau@gmail.com",
  pkg = c("arrow", "duckdb")
)
#> ✔ All clear for foghorn, phylobase, and riceware!
#> ⚠  Package with warnings on CRAN: 
#>   - duckdb (5) [Fix before: 2024-07-10]
#> ★  Packages with notes on CRAN: 
#>   - arrow (11)
#>   - duckdb (6) [Fix before: 2024-07-10]
#>   - rncl (12)
#>   - rotl (10)
#> ◉  Package with other issues on CRAN: 
#>   - duckdb [Fix before: 2024-07-10]


cran_results(
  email = "francois.michonneau@gmail.com",
  pkg = c("arrow", "duckdb")
)
#> # A tibble: 7 × 8
#>   package   error  fail  warn  note    ok deadline   has_other_issues
#>   <chr>     <int> <int> <int> <int> <int> <chr>      <lgl>           
#> 1 arrow         0     0     0    11     2 <NA>       FALSE           
#> 2 duckdb        0     0     5     6     2 2024-07-10 TRUE            
#> 3 foghorn       0     0     0     0    13 <NA>       FALSE           
#> 4 phylobase     0     0     0     0    13 <NA>       FALSE           
#> 5 riceware      0     0     0     0    13 <NA>       FALSE           
#> 6 rncl          0     0     0    12     1 <NA>       FALSE           
#> 7 rotl          0     0     0    10     3 <NA>       FALSE

You can inspect the logs for the check results using summary_cran_details(pkg) (or summary(cran_details(pkg))), while visit_cran_check(pkg) takes you directly to the CRAN webpage.

(tidyr_checks <- cran_details(pkg = "tidyr"))
#> # A tibble: 5 × 7
#>   package version result check                         flavors n_flavors message
#>   <chr>   <chr>   <chr>  <chr>                         <chr>       <dbl> <chr>  
#> 1 tidyr   1.3.1   NOTE   compiled code                 r-deve…         2 "     …
#> 2 tidyr   1.3.1   NOTE   data for non-ASCII characters r-deve…         2 "     …
#> 3 tidyr   1.3.1   NOTE   compiled code                 r-deve…         2 "     …
#> 4 tidyr   1.3.1   NOTE   compiled code                 r-deve…         2 "     …
#> 5 tidyr   1.3.1   ERROR  re-building of vignette outp… r-rele…         2 "     …

summary(tidyr_checks)
#> ★ tidyr - note: compiled code
#>    ❯ r-devel-linux-x86_64-debian-clang 
#>    ❯ r-devel-linux-x86_64-debian-gcc 
#> 
#>      File ‘tidyr/libs/tidyr.so’:
#>      Found non-API calls to R: ‘SETLENGTH’, ‘SET_GROWABLE_BIT’,
#>      ‘SET_TRUELENGTH’
#>      
#>      Compiled code should not call non-API entry points in R.
#>      
#>      See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
#>      See section ‘Moving into C API compliance’ in the ‘Writing R
#>      Extensions’ manual for issues with use of non-API entry points.
#> 
#> ★ tidyr - note: data for non-ASCII characters
#>    ❯ r-devel-linux-x86_64-fedora-clang 
#>    ❯ r-devel-linux-x86_64-fedora-gcc 
#> 
#>      Note: found 24 marked UTF-8 strings
#> 
#> ★ tidyr - note: compiled code
#>    ❯ r-devel-linux-x86_64-fedora-clang 
#>    ❯ r-devel-linux-x86_64-fedora-gcc 
#> 
#>      File ‘tidyr/libs/tidyr.so’:
#>      Found non-API calls to R: ‘SETLENGTH’, ‘SET_GROWABLE_BIT’,
#>      ‘SET_TRUELENGTH’
#>      
#>      Compiled code should not call non-API entry points in R.
#>      
#>      See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual,
#>      and section ‘Moving into C API compliance’ for issues with the use of
#>      non-API entry points.
#> 
#> ★ tidyr - note: compiled code
#>    ❯ r-devel-windows-x86_64 
#> 
#>      File 'tidyr/libs/x64/tidyr.dll':
#>      Found non-API calls to R: 'SETLENGTH', 'SET_GROWABLE_BIT',
#>      'SET_TRUELENGTH'
#>      
#>      Compiled code should not call non-API entry points in R.
#>      
#>      See 'Writing portable packages' in the 'Writing R Extensions' manual.
#>      See section 'Moving into C API compliance' in the 'Writing R
#>      Extensions' manual for issues with use of non-API entry points.
#> 
#> ✖ tidyr - error: re-building of vignette outputs
#>    ❯ r-release-macos-arm64 
#> 
#>      Error(s) in re-building vignettes:
#>      --- re-building ‘in-packages.Rmd’ using rmarkdown
#>      --- finished re-building ‘in-packages.Rmd’
#>      
#>      --- re-building ‘nest.Rmd’ using rmarkdown
#>      --- finished re-building ‘nest.Rmd’
#>      
#>      --- re-building ‘pivot.Rmd’ using rmarkdown
#>      
#>      Quitting from lines 44-47 [setup] (pivot.Rmd)
#>      Error: processing vignette 'pivot.Rmd' failed with diagnostics:
#>      there is no package called 'readr'
#>      --- failed re-building ‘pivot.Rmd’
#>      
#>      --- re-building ‘programming.Rmd’ using rmarkdown
#>      --- finished re-building ‘programming.Rmd’
#>      
#>      --- re-building ‘rectangle.Rmd’ using rmarkdown
#>      --- finished re-building ‘rectangle.Rmd’
#>      
#>      --- re-building ‘tidy-data.Rmd’ using rmarkdown
#>      --- finished re-building ‘tidy-data.Rmd’
#>      
#>      SUMMARY: processing the following file failed:
#>      ‘pivot.Rmd’
#>      
#>      Error: Vignette re-building failed.
#>      Execution halted

Where does the data come from?

The data from the check results used by this package are either scraped from the CRAN web pages (default), or are from the CRAN database (that CRAN uses to build the webpages). The first option is faster if you want to regularly check a few packages. However, if you are doing statistics on a large number of packages, using the CRAN database is recommended (it’s about 20Mb of data). To use the CRAN database, add src = "crandb" in your function calls:

cran_results(pkg = "nlme", src = "crandb", progress = FALSE)
#> # A tibble: 1 × 8
#>   package error  fail  warn  note    ok deadline has_other_issues
#>   <chr>   <int> <int> <int> <int> <int> <chr>    <lgl>           
#> 1 nlme        0     0     0     0    13 <NA>     FALSE

Feedback? Suggestions?

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.