select Plots backend via Preferences (or env variable) (#4566)

Co-authored-by: Simon Christ <[email protected]>

Co-authored-by: Mark Kittisopikul <[email protected]>

.github/workflows/ci.yml

@@ -19,8 +19,7 @@ jobs:
     env:
       GKS_ENCODING: "utf8"
       GKSwstype: "nul"
-      PYTHON: "Conda"  # for `PyPlot`
-      JULIA_PYTHONCALL_EXE: "@PyCall"  # for `PythonCall`
+      JULIA_CONDAPKG_BACKEND: "MicroMamba"
     name: Julia ${{ matrix.version }} - ${{ matrix.os }}
     runs-on: ${{ matrix.os }}
     continue-on-error: ${{ matrix.version == 'nightly' }}
@@ -73,11 +72,8 @@ jobs:
       - name: Install conda based matplotlib
         shell: julia --project=@. --color=yes {0}
         run: |
-          @show ENV["PYTHON"]
-          using Pkg
-          Pkg.add("Conda"); Pkg.build("Conda"; verbose=true)
-          using Conda; env, rc = Conda.ROOTENV, Conda.conda_rc(Conda.ROOTENV)
-          Conda.runconda(`config --set auto_update_conda False --file $rc --force`, env)
+          using Pkg; Pkg.add("CondaPkg")
+          using CondaPkg; CondaPkg.resolve()
           libgcc = if Sys.islinux()
             # see discourse.julialang.org/t/glibcxx-version-not-found/82209/8
             # julia 1.8.3 is built with libstdc++.so.6.0.29, so we must restrict to this version (gcc 11.3.0, not gcc 12.2.0)
@@ -92,14 +88,8 @@ jobs:
           else
             ()
           end
-          Conda.add([libgcc..., "matplotlib"])
-          Conda.list()
-          # configure `CondPkg` to use `Conda` setup
-          open(ENV["GITHUB_ENV"], "a") do io
-            println(io, "JULIA_CONDAPKG_EXE=", Conda.CONDA_EXE)
-            println(io, "JULIA_CONDAPKG_BACKEND=Null")
-          end
-          Pkg.add("PyCall"); Pkg.build("PyCall"; verbose=true)
+          CondaPkg.PkgREPL.add([libgcc..., "matplotlib"])
+          CondaPkg.status()
 
       - uses: julia-actions/julia-runtest@latest
         with:

Project.toml

@@ -21,6 +21,7 @@ NaNMath = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 PlotThemes = "ccf2f8ad-2431-5c83-bf29-c5338b663b6a"
 PlotUtils = "995b91a9-d308-5afd-9ec6-746e21dbc043"
+Preferences = "21216c6a-2e73-6563-6e65-726566657250"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 REPL = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
@@ -40,25 +41,27 @@ UnicodeFun = "1cfade01-22cf-5700-b092-accc4b62d6e1"
 Unzip = "41fe7b60-77ed-43a1-b4f0-825fd5a5650d"
 
 [compat]
-Conda = "1"
 Contour = "0.5 - 0.6"
 FFMPEG = "0.2 - 0.4"
 FixedPointNumbers = "0.6 - 0.8"
 GR = "0.69.5 - 0.71"
 Gaston = "1"
+HDF5 = "0.16"
+InspectDR = "0.4"
 JLFzf = "0.1"
 JSON = "0.21, 1"
 LaTeXStrings = "1"
 Latexify = "0.14 - 0.15"
 Measures = "0.3"
 NaNMath = "0.3, 1"
+PGFPlots = "3"
 PGFPlotsX = "1"
 PlotThemes = "2, 3"
 PlotUtils = "1"
 PlotlyBase = "0.7 - 0.8"
 PlotlyJS = "0.18"
 PlotlyKaleido = "1"
-PyCall = "1"
+Preferences = "1"
 PyPlot = "2"
 PythonPlot = "1"
 RecipesBase = "1.3.1"
@@ -78,7 +81,6 @@ julia = "1.6"
 [extras]
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
-Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
 FilePathsBase = "48062228-2e41-5def-b9a4-89aafe57970f"
@@ -91,11 +93,11 @@ Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
 InspectDR = "d0351b0e-4b05-5898-87b3-e2a8edfddd1d"
 LibGit2 = "76f85450-5226-5b5a-8eaa-529ad045b433"
 OffsetArrays = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
+PGFPlots = "3b7a836e-365b-5785-a47d-02c71176b4aa"
 PGFPlotsX = "8314cec4-20b6-5062-9cdb-752b83310925"
 PlotlyBase = "a03496cd-edff-5a9b-9e67-9cda94a718b5"
 PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
 PlotlyKaleido = "f2990250-8cf9-495f-b13a-cce12b45703c"
-PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
 PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
 PythonPlot = "274fc56d-3b97-40fa-a1cd-1b4a50311bf9"
 RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
@@ -110,4 +112,4 @@ Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
 VisualRegressionTests = "34922c18-7c2a-561c-bac1-01e79b2c4c92"
 
 [targets]
-test = ["Aqua", "Colors", "Conda", "Distributions", "FileIO", "FilePathsBase", "Gaston", "GeometryBasics", "Gtk", "ImageMagick", "Images", "InspectDR", "LibGit2", "OffsetArrays", "PGFPlotsX", "PlotlyJS", "PlotlyBase", "PyCall", "PyPlot", "PythonPlot", "PlotlyKaleido", "HDF5", "RDatasets", "SentinelArrays", "StableRNGs", "StaticArrays", "StatsPlots", "Test", "TestImages", "UnicodePlots", "Unitful", "VisualRegressionTests"]
+test = ["Aqua", "Colors", "Distributions", "FileIO", "FilePathsBase", "Gaston", "GeometryBasics", "Gtk", "ImageMagick", "Images", "InspectDR", "LibGit2", "OffsetArrays", "PGFPlotsX", "PlotlyJS", "PlotlyBase", "PyPlot", "PythonPlot", "PlotlyKaleido", "HDF5", "RDatasets", "SentinelArrays", "StableRNGs", "StaticArrays", "StatsPlots", "Test", "TestImages", "UnicodePlots", "Unitful", "VisualRegressionTests"]

src/Plots.jl

@@ -7,33 +7,9 @@ if isdefined(Base, :Experimental) && isdefined(Base.Experimental, Symbol("@max_m
     @eval Base.Experimental.@max_methods 1
 end
 
-using Pkg
-
-const _plots_project = Pkg.Types.read_project(normpath(@__DIR__, "..", "Project.toml"))
-const _current_plots_version = _plots_project.version
-const _plots_compats = _plots_project.compat
-
-function _check_compat(sim::Module)
-    sim_str = string(sim)
-    haskey(_plots_compats, sim_str) || return nothing
-    be_v = Pkg.Types.read_project(joinpath(Base.pkgdir(sim), "Project.toml")).version
-    be_c = _plots_compats[sim_str]
-    if be_c isa String # julia 1.6
-        if !(be_v in Pkg.Types.semver_spec(be_c))
-            @warn "$sim $be_v is not compatible with this version of Plots. The declared compatibility is $(be_c)."
-        end
-    else
-        if isempty(intersect(be_v, be_c.val))
-            @warn "$sim $be_v is not compatible with this version of Plots. The declared compatibility is $(be_c.str)."
-        end
-    end
-end
-
-using Dates, Printf, Statistics, Base64, LinearAlgebra, Random
-using SparseArrays
+using Pkg, Dates, Printf, Statistics, Base64, LinearAlgebra, SparseArrays, Random
+using SnoopPrecompile, Preferences, Requires, Reexport
 using Base.Meta
-using Requires
-using Reexport
 using Unzip
 @reexport using RecipesBase
 @reexport using PlotThemes
@@ -167,6 +143,7 @@ using .PlotMeasures
 import .PlotMeasures: Length, AbsoluteLength, Measure, width, height
 # ---------------------------------------------------------
 
+const PLOTS_SEED  = 1234
 const PX_PER_INCH = 100
 const DPI         = PX_PER_INCH
 const MM_PER_INCH = 25.4
@@ -190,23 +167,12 @@ include("animation.jl")
 include("examples.jl")
 include("plotattr.jl")
 include("backends.jl")
+const CURRENT_BACKEND = CurrentBackend(:none)
+include("backends/web.jl")
 include("output.jl")
 include("ijulia.jl")
 include("fileio.jl")
-
-# Use fixed version of Plotly instead of the latest one for stable dependency
-# Ref: https://github.com/JuliaPlots/Plots.jl/pull/2779
-const _plotly_min_js_filename = "plotly-2.6.3.min.js"
-const CURRENT_BACKEND = CurrentBackend(:none)
-const PLOTS_SEED = 1234
-
-include("init.jl")
-
-include("backends/plotly.jl")
-include("backends/web.jl")
-include("backends/gr.jl")
-
 include("shorthands.jl")
-include("precompile.jl")
+include("init.jl")
 
 end