In CI, use the Conda-provided R

[DilumAluthge]

No description provided.

[codecov]

Codecov Report

Base: 78.01% // Head: 72.72% // Decreases project coverage by -5.29% ⚠️

Coverage data is based on head (53539b2) compared to base (edcdf4a).
Patch has no changes to coverable lines.

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #459      +/-   ##
==========================================
- Coverage   78.01%   72.72%   -5.30%     
==========================================
  Files          23       23              
  Lines        1610     1569      -41     
==========================================
- Hits         1256     1141     -115     
- Misses        354      428      +74     

Impacted Files	Coverage Δ
src/namespaces.jl	37.03% <0.00%> (-55.56%)	⬇️
src/Const.jl	51.16% <0.00%> (-48.84%)	⬇️
src/io.jl	53.57% <0.00%> (-18.20%)	⬇️
src/eventloop.jl	54.71% <0.00%> (-13.81%)	⬇️
src/setup.jl	71.42% <0.00%> (-4.71%)	⬇️
src/render.jl	87.14% <0.00%> (-1.43%)	⬇️
src/methods.jl	67.47% <0.00%> (-0.35%)	⬇️

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[ViralBShah]

Failing later now with similar error.

[DilumAluthge]

Can you reproduce the error on a local Windows machine?

[DilumAluthge]

We'll likely need to recruit a Windows user to help.

They don't need to set their machine up in a particular way - because we can reproduce this error in CI when R_HOME is set to *, the user can just set the R_HOME environment variable to * when they run the tests locally. No need for them to install R on their local machine.

[ViralBShah]

I might be able to try that out on an underpowered windows machine I do have access to.

Although, I thought that removing Conda and just using the CI provided R would be better in terms of fewer dependencies.

[ViralBShah]

Do you know why it has issues adding General registry? https://github.com/JuliaInterop/RCall.jl/actions/runs/3277858196/jobs/5395606774#step:8:39

[DilumAluthge]

Do you know why it has issues adding General registry? https://github.com/JuliaInterop/RCall.jl/actions/runs/3277858196/jobs/5395606774#step:8:39

That looks like a bug in the https://github.com/julia-actions/julia-buildpkg action - I'll look into it.

[ViralBShah]

So, 64-bit windows is only failing on the conda specific test, which we may be able to disable (or update). The 32-bit windows is failing on finding the right location of the R shared library. If we can get win64 passing, then we can disable win32 for now, and at least get to green CI.

[ViralBShah]

#462 is an alternate solution.

[ViralBShah]

On windows 64-bit, I set R_HOME to * and Conda failed at some point because it couldn't find C:\Users\viral\.julia\conda\3\Library\bin\R\bin\x64\R.dll.

[ Info: Installing R via Conda.  To use a different R installation, set the "R_HOME" environment variable and re-run Pkg.build("RCall").
[ Info: Downloading miniconda installer ...
[ Info: Installing miniconda ...
[ Info: Running `conda config --add channels r --file 'C:\Users\viral\.julia\conda\3\condarc-julia.yml' --force` in root environment
[ Info: Running `conda install -y 'r-base>=3.4.0,<4'` in root environment
ERROR: LoadError: Could not find library C:\Users\viral\.julia\conda\3\Library\bin\R\bin\x64\R.dll. Make sure that R shared library exists.
Stacktrace:
 [1] error(s::String)
   @ Base .\error.jl:35
 [2] validate_libR(libR::String)
   @ Main C:\Users\viral\.julia\packages\RCall\6kphM\deps\setup.jl:11
 [3] locate_libR(Rhome::String)

However, the correct location is /c/Users/viral/.julia/conda/3/R/bin/x64

[simonbyrne]

Does that mean Conda.LIBDIR == "C:\Users\viral\.julia\conda\3\Library\bin"?

[simonbyrne]

Looks like it:

https://github.com/JuliaPy/Conda.jl/blob/8f7133206f3efb6308dff5a2b09393d10e6cc122/src/Conda.jl#L57

I guess we should use

Rhome = joinpath(Conda.ROOTENV, "R")

[ViralBShah]

@simonbyrne Do we necessarily need to use R <= 4?

[ViralBShah]

Seems like this would need more work to figure out and we already have a working CI. Just closing it again.