Add preference-based shared Conda env for Thermo

Project.toml

@@ -1,26 +1,30 @@
+authors = ["Alex Ames <[email protected]> and contributors"]
 name = "PyThermo"
 uuid = "6fae04a5-42e9-4d0c-90a8-26d1a9434b6b"
-authors = ["Alex Ames <[email protected]> and contributors"]
-version = "0.2.4"
+version = "0.2.5"
+
+[compat]
+CondaPkg = "0.2"
+PythonCall = "0.9"
+Unitful = "1.6"
+julia = "1.6"
 
 [deps]
 CondaPkg = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"
 Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
+Preferences = "21216c6a-2e73-6563-6e65-726566657250"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
 Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
 
-[compat]
-CondaPkg = "0.2"
-PythonCall = "0.9"
-Unitful = "1.6"
-julia = "1.6"
-
 [extras]
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
 
+[preferences.CondaPkg]
+env = "@Thermo"
+
 [targets]
 test = ["Aqua", "Test", "Unitful"]

docs/src/index.md

@@ -17,7 +17,8 @@ Mixture
 ## Interaction with Conda
 PyThermo's Python dependencies are managed by CondaPkg.jl, which registers
 a project's dependencies in CondaPkg.toml (similar to Julia's Project.toml).
-These dependencies are installed automatically when PyThermo is first loaded.
-To avoid Conda management overhead during subsequent initialization of PyThermo,
-the `JULIA_CONDAPKG_OFFLINE` environment is set to `"true"` by default. This can
-be overriden by setting `JULIA_CONDAPKG_OFFLINE` to `"false"` before loading PyThermo.
+These dependencies are installed automatically in a shared Conda environment
+located at ~/.julia/conda_environments/Thermo when PyThermo is first loaded.
+If you'd like to use a different Conda environment, you can set the corresponding preference
+as described in the [CondaPkg.jl documentation](https://github.com/JuliaPy/CondaPkg.jl?tab=readme-ov-file#preferences).
+

src/PyThermo.jl

@@ -4,15 +4,16 @@ module PyThermo
 # if .CondaPkg exists in the current environment, use "true" to skip
 # Conda pkg resolution.  Otherwise, use "false" to allow Conda to
 # resolve the pkg environment.
-using Pkg
-get!(ENV, "JULIA_CONDAPKG_OFFLINE") do
-    if ispath(joinpath(dirname(Pkg.project().path), ".CondaPkg"))
-        "yes"
-    else
-        "no"
-    end
-end
+# using Pkg
+# get!(ENV, "JULIA_CONDAPKG_OFFLINE") do
+#     if ispath(joinpath(dirname(Pkg.project().path), ".CondaPkg"))
+#         "yes"
+#     else
+#         "no"
+#     end
+# end
 
+using CondaPkg
 using PythonCall
 using Printf
 using Unitful