kwb-r / pkgmeta Goto Github PK
View Code? Open in Web Editor NEWR Package for meta-analysis of KWB-R packages on GitHub
Home Page: https://kwb-r.github.io/pkgmeta
License: MIT License
R Package for meta-analysis of KWB-R packages on GitHub
Home Page: https://kwb-r.github.io/pkgmeta
License: MIT License
As described in http://www.tinyverse.org/, R package dependencies should be as lean as possible. To check wether this is the case for our KWB-R packages the follwing functions should be added to pkgmeta and added to a vignette for automating this analysis (at least for the public R packages).
get_recursive_pkg_dependencies <-
function(pkgs,
library_path = .libPaths(),
dbg = TRUE) {
pkgs_installed <-
pkgs[pkgs %in% rownames(installed.packages(lib.loc = library_path))]
setNames(lapply(pkgs_installed, function(pkg) {
kwb.utils::catAndRun(
sprintf("Getting recursive dependencies for '%s'", pkg),
expr = {
packrat:::recursivePackageDependencies(pkg,
lib.loc = library_path)
},
dbg = dbg
)
}),
nm = pkgs_installed)
}
get_pkg_dependencies <-
function(pkgs,
library_path = .libPaths(),
dbg = TRUE) {
pkgs_installed <-
pkgs[pkgs %in% rownames(installed.packages(lib.loc = library_path))]
setNames(lapply(pkgs_installed, function(pkg) {
kwb.utils::catAndRun(
sprintf("Getting dependencies for '%s'", pkg),
expr = {
packrat:::getPackageDependencies(pkg, lib.loc = library_path)
},
dbg = dbg
)
}),
nm = pkgs_installed)
}
###############################################################################
### Define Function for Installing KWB-R GitHub Packages
###############################################################################
install_kwb_github_packages <- function(pkgs_kwb,
dependencies = TRUE,
...) {
pkgs_kwb_github <- sprintf("KWB-R/%s", pkgs_kwb)
sapply(
pkgs_kwb_github,
FUN = function(gh_repo) {
try(remotes::install_github(repo = gh_repo,
dependencies = dependencies,
...))
}
)
}
###############################################################################
### Use the Install Function For KWB-R Packages
###############################################################################
pkgs <- pkgmeta::get_github_packages()
install_kwb_github_packages(pkgs_kwb = pkgs$name, upgrade = "always")
pkgs_recursive_dependencies <- get_recursive_pkg_dependencies(pkgs$name)
pkgs_dependencies <- get_pkg_dependencies(pkgs$name)
deps_df <- tibble::tibble(package = names(total_deps_per_pkg),
n_dependencies = sapply(pkgs_dependencies, length),
n_recursive_dependencies = sapply(pkgs_recursive_dependencies, length)) %>%
dplyr::arrange(dplyr::desc(n_recursive_dependencies))
Using this locally with GITHUB_PAT with private KWB-R repo scope (installation failed for 2 private repos, see #2), these are the total (recursive) dependencies:
package | n_dependencies | n_recursive_dependencies |
---|---|---|
kwb.flusshygiene.app | 12 | 109 |
fhpredict | 13 | 107 |
kwb.flusshygiene | 9 | 100 |
aquanes.report | 25 | 99 |
kwb.kuras | 4 | 90 |
kwb.ogre.model | 5 | 90 |
kwb.ogre | 10 | 89 |
kwb.package | 3 | 88 |
sema.berlin.app | 20 | 88 |
fakin.path.app | 18 | 86 |
kwb.dswt | 7 | 86 |
kwb.endnote | 15 | 84 |
pkgmeta | 18 | 79 |
kwb.miacso | 1 | 78 |
kwb.rain | 5 | 78 |
kwb.misc | 9 | 77 |
kwb.qmra | 15 | 76 |
kwb.read | 7 | 75 |
datacamp | 21 | 68 |
kwb.fakin | 20 | 65 |
kwb.pkgbuild | 13 | 61 |
sema.berlin | 7 | 55 |
kwb.twitter | 6 | 52 |
kwb.umberto | 9 | 52 |
kwb.monitoring | 8 | 49 |
kwb.pubs | 10 | 49 |
AquaNES | 3 | 48 |
kwb.sema | 7 | 48 |
kwb.lca | 4 | 46 |
kwb.dygraph | 3 | 44 |
kwb.mia.evalCritO2 | 2 | 43 |
kwb.readxl | 6 | 43 |
kwb.mia.iw | 6 | 42 |
kwb.test.datetime | 2 | 42 |
kwb.base | 6 | 41 |
kwb.orcid | 5 | 39 |
kwb.epanet | 4 | 38 |
kwb.geosalz | 12 | 38 |
kwb.resilience | 1 | 37 |
kwb.event | 3 | 36 |
kwb.pkgstatus | 8 | 36 |
kwb.site | 4 | 35 |
kwb.plot | 3 | 34 |
qmra.db | 10 | 34 |
kwbGompitz | 3 | 33 |
kwb.svn | 9 | 31 |
kwb.test | 2 | 30 |
kwb.demeau | 9 | 29 |
kwb.pathdict | 4 | 28 |
kwb.code | 3 | 27 |
kwb.file | 5 | 26 |
kwb.ucode | 1 | 18 |
kwb.dwd | 10 | 17 |
kwb.wtaq | 4 | 17 |
algoliar | 5 | 16 |
kwb.hantush | 1 | 15 |
kwb.vs2dh | 4 | 8 |
kwb.odmx | 3 | 5 |
kwb.logger | 4 | 4 |
kwb.odm | 3 | 4 |
kwb.quantum | 3 | 4 |
kwb.dwa.m150 | 2 | 3 |
kwb.context | 2 | 2 |
kwb.db | 2 | 2 |
kwb.gocr | 2 | 2 |
kwb.optiwells | 1 | 2 |
kwb.rerau | 2 | 2 |
kwb.datetime | 1 | 1 |
kwb.en13508.2 | 1 | 1 |
kwb.graph | 1 | 1 |
kwb.iview | 1 | 1 |
kwb.virtualdub | 1 | 1 |
kwb.barplot | 0 | 0 |
kwb.default | 0 | 0 |
kwb.utils | 0 | 0 |
Installation for private KWB-R packages as described in https://kwb-r.github.io/kwb.pkgbuild/articles/install.html#kwb-r-packages currently fails for 5 repos.
###############################################################################
### Define Function for Installing KWB-R GitHub Packages
###############################################################################
install_kwb_github_packages <- function(pkgs_kwb,
dependencies = TRUE,
...) {
pkgs_kwb_github <- sprintf("KWB-R/%s", pkgs_kwb)
sapply(
pkgs_kwb_github,
FUN = function(gh_repo) {
try(remotes::install_github(repo = gh_repo,
dependencies = dependencies,
...))
}
)
}
###############################################################################
### Use the Install Function For KWB-R Packages for Project BaSaR
###############################################################################
pkgs <- pkgmeta::get_github_packages()
install_kwb_github_packages(pkgs_kwb = pkgs$name, upgrade = "always")
"Error : Failed to install 'kwb.context' from GitHub:\n (converted from warning) installation of package ‘C:/Users/mrustl.KWB/AppData/Local/Temp/Rtmpof8Wpw/file2ee47967418/kwb.context_0.1.tar.gz’ had non-zero exit status\n"
"Error : Failed to install 'kwb.furain' from GitHub:\n (converted from warning) packages ‘kwb.gocr’, ‘kwb.iview’, ‘magickx’ are not available (for R version 3.6.1)\n"
"Error : Failed to install 'kwb.kuras' from GitHub:\n (converted from warning) installation of package ‘C:/Users/mrustl.KWB/AppData/Local/Temp/Rtmpof8Wpw/file2ee44fe226b5/kwb.kuras_0.0.99.tar.gz’ had non-zero exit status\n"
Adding of pkg dependencies in field "Remotes" required:
KWB-R/kwb.context
KWB-R/kwb.kuras
KWB-R/kwb.miacso
KWB-R/kwb.ucode
Additional changes required:
KWB-R/kwb.furain
KWB-R/kwb.rsprotox
Running the code below in the "analyse-rpackages.Rmd" vignette on Travis
pkgs <- pkgmeta::get_github_packages()
pkgs_codemetar <- withr::with_libpaths(new = "/home/travis/R/Library",
code = {
lapply(pkgs$name,
function(x) {
print(glue::glue("Writing codemeta for R package {x}"))
codemetar::create_codemeta(pkg = x)})})
errors with the following output on Travis:
── Building articles ───────────────────────────────────────────────────────────
Writing 'articles/index.html'
Reading 'vignettes/analyse-rpackages.Rmd'
Error in if (grepl("github.com\\/.*\\/.*", cm$codeRepository)) { :
argument is of length zero
Error in if (grepl("github.com\\/.*\\/.*", cm$codeRepository)) { :
argument is of length zero
Calls: <Anonymous> ... build_site -> build_site_external -> <Anonymous> -> get_result
Execution halted
Script failed with status 1
see https://travis-ci.org/KWB-R/pkgmeta/jobs/480645714#L4356
Any idea codemetar expert @hsonne why this happens?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.