Dear Joris,
So it does looks like the proposed function makes a lot sense then, isn't it?
Cheers,
Jan
On 16 June 2016 at 08:37, Joris Meys <jorism...@gmail.com> wrote:
> Dear Jan,
>
> It is unavoidable to have OS and R dependencies for devtools. The building
> process for packages is both OS and R dependent, so devtools has to be too
> according to my understanding.
>
> Cheers
> Joris
>
> On 14 Jun 2016 18:56, "Jan Górecki" <j.gore...@wit.edu.pl> wrote:
>
> Hi Thierry,
>
> I'm perfectly aware of it. Any idea when devtools would be shipped as
> a base R package, or at least recommended package? To actually answer
> the problem described in my email.
> I have range of useful functions available tools/utils packages which
> are shipped together with R. They doesn't require any OS dependencies
> or R dependencies, unlike devtools which requires both. Installing
> unnecessary OS dependencies and R dependencies just for such a simple
> wrapper doesn't seem to be an elegant way to address it, therefore my
> proposal to include that simple function in tools, or utils package.
>
> Regards,
> Jan Gorecki
>
> On 14 June 2016 at 16:17, Thierry Onkelinx <thierry.onkel...@inbo.be> wrote:
>> Dear Jan,
>>
>> Similar functionality is available in devtools::dev_package_deps()
>>
>> Best regards,
>>
>> ir. Thierry Onkelinx
>> Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
>> Forest
>> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
>> Kliniekstraat 25
>> 1070 Anderlecht
>> Belgium
>>
>> To call in the statistician after the experiment is done may be no more
>> than
>> asking him to perform a post-mortem examination: he may be able to say
>> what
>> the experiment died of. ~ Sir Ronald Aylmer Fisher
>> The plural of anecdote is not data. ~ Roger Brinner
>> The combination of some data and an aching desire for an answer does not
>> ensure that a reasonable answer can be extracted from a given body of
>> data.
>> ~ John Tukey
>>
>> 2016-06-14 16:54 GMT+02:00 Jan Górecki <j.gore...@wit.edu.pl>:
>>>
>>> Hi all,
>>>
>>> Packages tools and utils have a lot of useful stuff for R developers.
>>> I find one task still not as straightforward as it could. Simply to
>>> extract dependencies of a package from DESCRIPTION file (before it is
>>> even installed to library). This would be valuable in automation of CI
>>> setup in a more meta-data driven way.
>>> The simple function below, I know it is short and simple, but having
>>> it to be defined in each CI workflow is a pain, it could be already
>>> available in tools or utils namespace.
>>>
>>> package.dependencies.dcf <- function(file = "DESCRIPTION", which =
>>> c("Depends","Imports","LinkingTo")) {
>>> stopifnot(file.exists(file), is.character(which))
>>> which_all <- c("Depends", "Imports", "LinkingTo", "Suggests",
>>> "Enhances")
>>> if (identical(which, "all"))
>>> which <- which_all
>>> else if (identical(which, "most"))
>>> which <- c("Depends", "Imports", "LinkingTo", "Suggests")
>>> stopifnot(which %in% which_all)
>>> dcf <- read.dcf(file, which)
>>> # parse fields
>>> raw.deps <- unlist(strsplit(dcf[!is.na(dcf)], ",", fixed = TRUE))
>>> # strip stated dependency version
>>> deps <- trimws(sapply(strsplit(trimws(raw.deps), "(", fixed =
>>> TRUE), `[[`, 1L))
>>> # exclude base R pkgs
>>> base.pkgs <- c("R", rownames(installed.packages(priority = "base")))
>>> setdiff(deps, base.pkgs)
>>> }
>>>
>>> This allows to easily install all package dependencies just based on
>>> DESCRIPTION file, so simplify that in custom CI workflows to:
>>>
>>> if (length(pkgs<-package.dependencies.dcf(which="all")))
>>> install.packages(pkgs)
>>>
>>> And would not require to install custom packages or shell scripts.
>>>
>>> Regards,
>>> Jan Gorecki
>>>
>>> ______________________________________________
>>> R-devel@r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-devel
>>
>>
>
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