tools:: extracting pkg dependencies from DCF
Hi Jan,
On Fri, Oct 28, 2022 at 1:57 PM Jan Gorecki <j.gorecki at wit.edu.pl> wrote:
Gabriel, It is the most basic CI use case. One wants to install only dependencies only of the package, and run R CMD check on the package.
Really what you're looking for though, is to install all the dependencies
which aren't present right? Excluding base packages is just a particular
way to do that under certain assumptions about the CI environment.
So
needed_pkgs <- setdiff(package_dependencies(...),
installed.packages()[,"Package"])
install.packages(needed_pkgs, repos = fancyrepos)
will do what you want without installing the package itself, if that is
important. This will filter out base and recommended packages (which will
be already installed in your CI container, since R is).
Now this does not take into account versioned dependencies, so it's not
actually fully correct (whereas installing the package is), but it gets you
where you're trying to go. And in a clean CI container without cached
package installation for the deps, its equivalent.
Also, as an aside, if you need to get the base packages, you can do
installed.packages(priority="base")[,"Package"]
base compiler datasets graphics grDevices grid
"base" "compiler" "datasets" "graphics" "grDevices" "grid"
methods parallel splines stats stats4 tcltk
"methods" "parallel" "splines" "stats" "stats4" "tcltk"
tools utils
"tools" "utils"
(to get base and recommended packages use 'high' instead of 'base')
No need to be reaching down into unexported functions. So if you *really*
only want to exclude base functions (which likely will give you some
protection from versioned dep issues), you can change the code above to
needed_pkgs <- setdiff(package_dependencies(...),
installed.packages(priority = "high")[,"Package"])
install.packages(needed_pkgs, repos = fancyrepos)
Best,
~G
On Fri, Oct 28, 2022 at 8:42 PM Gabriel Becker <gabembecker at gmail.com> wrote:
Hi Jan, The reason, I suspect without speaking for R-core, is that by design you
should not be specifying package dependencies as additional packages to install. install.packages already does this for you, as it did in the construct of a repository code that I provided previously in the thread. You should be *only* doing
install.packages(<pkg in question>, repos = *) Then everything happens automatically via extremely well tested very
mature code.
I (still) don't understand why you'd need to pass install.packages the
vector of dependencies yourself, as that is counter to install.packages' core design.
Does that make sense? Best, ~G On Fri, Oct 28, 2022 at 12:18 PM Jan Gorecki <j.gorecki at wit.edu.pl>
wrote:
Gabriel,
I am trying to design generic solution that could be applied to
arbitrary package. Therefore I went with the latter solution you
proposed.
If we wouldn't have to exclude base packages, then its a 3 liner
file.copy("DESCRIPTION", file.path(tdir<-tempdir(), "PACKAGES"));
db<-available.packages(paste0("file://", tdir));
utils::install.packages(tools::package_dependencies("pkgname", db,
which="most")[[1L]])
As you noticed, we still have to filter out base packages. Otherwise
it won't be a robust utility that can be used in CI. Therefore we have
to add a call to tools:::.get_standard_package_names() which is an
internal function (as of now). Not only complicating the call but also
putting the functionality outside of safe use.
Considering above, don't you agree that the following one liner could
nicely address the problem? The problem that hundreds/thousands of
packages are now addressing in their CI scripts by using a third party
packages.
utils::install.packages(packages.dcf("DESCRIPTION", which="most"))
It is hard to me to understand why R members don't consider this basic
functionality to be part of base R. Possibly they just don't need it
themselves. Yet isn't this sufficient that hundreds/thousands of
packages does need this functionality?
Best regards,
Jan
On Mon, Oct 17, 2022 at 8:39 AM Jan Gorecki <j.gorecki at wit.edu.pl>
wrote:
Gabriel and Simon I completely agree with what you are saying. The thing is that obtaining recursive deps, all/most whatever, is
already well supported in core R. What is missing is just this single functionality I am requesting.
If you will look into the branch you can see there is mirror.packages
function meant to mirror a slice of CRAN. It is doing exactly what you described: package_dependencies; to obtain recursive deps, then download all, etc.
I would love to have this function provided by core R as well, but we
need to start somewhere.
There are other use cases as well. For example CI, where one wants to install all/most dependencies and
then run R CMD check. Then we don't worry about recursive deps are they will be resolved automatically.
I don't think it's reasonable to force users to use 3rd party
packages to handle such a common and simple use case. Otherwise one has to hard code deps in CI script. Not robust at all.
packages.dcf and repos.dcf makes all that way easier, and are solid
base for building customized orchestration like mirroring slice of CRAN.
Best regards Jan On Sun, Oct 16, 2022, 01:31 Simon Urbanek <
simon.urbanek at r-project.org> wrote:
Jan, I think using a single DCF as input is not very practical and would
not be useful in the context you describe (creating self contained repos) since they typically concern a list of packages, but essentially splitting out the part of install.packages() which determines which files will be pulled from where would be very useful as it would be trivial to use it to create repository (what we always do in corporate environments) instead of installing the packages. I suspect that install packages is already too complex so instead of adding a flag to install.packages one could move that functionality into a separate function - we all do that constantly for the sites we manage, so it would be certainly something worthwhile.
Cheers, Simon
On Oct 15, 2022, at 7:14 PM, Jan Gorecki <j.gorecki at wit.edu.pl>
wrote:
Hi Gabriel, It's very nice usage you provided here. Maybe instead of adding new function we could extend packages_depenedncies then? To accept
file path to
dsc file. What about repos.dcf? Maybe additional repositories could be an
attribute
attached to returned character vector. The use case is to, for a given package sources, obtain its
dependencies,
so one can use that for installing them/mirroring CRAN subset, or
whatever.
The later is especially important for a production environment
where one
wants to have fixed version of packages, and mirroring relevant
subset of
CRAN is the most simple, and IMO reliable, way to manage such
environment.
Regards Jan On Fri, Oct 14, 2022, 23:34 Gabriel Becker <gabembecker at gmail.com>
wrote:
Hi Jan and Jan, Can you explain a little more what exactly you want the
non-recursive,
non-version aware dependencies from an individual package for? Either way package_dependencies will do this for you* with a
little
"aggressive convincing". It wants output from available.packages,
but who
really cares what it wants? It's a function and we are people :)
library(tools)
db <- read.dcf("~/gabe/checkedout/rtables_clean/DESCRIPTION")
package_dependencies("rtables", db, which =
intersect(c("Depends",
"Suggests", "Imports", "LinkingTo"), colnames(db))) $rtables [1] "methods" "magrittr" "formatters" "dplyr" "tibble" [6] "tidyr" "testthat" "xml2" "knitr"
"rmarkdown"
[11] "flextable" "officer" "stats" "htmltools" "grid" The only gotcha that I see immediately is that "LinkingTo" isn't
always
there (whereas it is with real output from available.packages).
If you
know your package doesn't have that (or that it does) at call
time , this
becomes a one-liner:
package_dependencies("rtables", db =
read.dcf("~/gabe/checkedout/rtables_clean/DESCRIPTION"), which =
c("Depends", "Suggests", "Imports"))
$rtables
[1] "methods" "magrittr" "formatters" "dplyr" "tibble"
[6] "tidyr" "testthat" "xml2" "knitr"
"rmarkdown"
[11] "flextable" "officer" "stats" "htmltools" "grid" You can also trick it a slightly different way by giving it what
it
actually wants
tdir <- tempdir()
file.copy("~/gabe/checkedout/rtables_clean/DESCRIPTION",
file.path(tdir,
"PACKAGES")) [1] TRUE
avl <- available.packages(paste0("file://", tdir))
library(tools)
package_dependencies("rtables", avl)
$rtables [1] "methods" "magrittr" "formatters" "stats"
"htmltools"
[6] "grid"
package_dependencies("rtables", avl, which = "all")
$rtables [1] "methods" "magrittr" "formatters" "stats"
"htmltools"
[6] "grid" "dplyr" "tibble" "tidyr" "testthat" [11] "xml2" "knitr" "rmarkdown" "flextable" "officer" So the only real benefits I see that we'd be picking up here is
automatic
filtering by priority, and automatic extraction of the package
name from
the DESCRIPTION file. I'm not sure either of those warrant a new
exported
function that R-core has to maintain forever. Best, ~G * I haven't tested this across all OSes, but I dont' know of any
reason it
wouldn't work generally. On Fri, Oct 14, 2022 at 2:33 PM Jan Gorecki <j.gorecki at wit.edu.pl>
wrote:
Hello Jan, Thanks for confirming about many packages reinventing this
missing
functionality. packages.dcf was not meant handle versions. It just extracts
names of
dependencies... Yes, such a simple thing, yet missing in base R. Versions of packages can be controlled when setting up R pkgs
repo. This
is how I used to handle it. Making a CRAN subset mirror of fixed
version
pkgs. BTW. function for that is also included in mentioned branch. I
am just not
proposing it, to increase the chance of having at least this
simple,
missing, functionality merged. Best Jan On Fri, Oct 14, 2022, 15:14 Jan Net?k <netikja at gmail.com> wrote:
Hello Jan, I have seen many packages that implemented dependencies
"extraction" on
their own for internal purposes and today I was doing exactly
that for
mine. It's not a big deal using read.dcf on DESCRIPTION. It was
sufficient
for me, but I had to take care of some \n chars (the overall
returned
value
has some rough edges, in my opinion). However, the function
from the
branch
seems to not care about version requirements, which are crucial
for me.
Maybe that is something to reconsider before merging. Best, Jan p? 14. 10. 2022 v 2:27 odes?latel Jan Gorecki <
j.gorecki at wit.edu.pl>
napsal:
Dear R devs, I would like to raise a request for a simple helper function. Utility function to extract package dependencies from
DESCRIPTION file.
I do think that tools package is better place, for such a
fundamental
functionality, than community packages. tools pkg seems perfect fit (having already great function write_PACKAGES). Functionality I am asking for is already in R svn repository
since
2016,
in a branch tools4pkgs. Function is called 'packages.dcf'. Another one 'repos.dcf' would be a good functional
complementary to it.
Those two simple helper functions really makes it easier for
organizations
to glue together usage of their own R packages repos and CRAN
repo in a
smooth way. That could possibly help to offload CRAN from new
submissions.
gh mirror link for easy preview:
Regards
Jan Gorecki
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