Add conda-skip logic to init.jl

Project.toml

@@ -6,6 +6,7 @@ version = "0.2.1"
 [deps]
 CondaPkg = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"
 Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
+Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
 Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"

docs/src/index.md

@@ -13,3 +13,11 @@ Documentation for [PyThermo](https://github.com/stillyslalom/PyThermo.jl).
 Species
 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.

src/PyThermo.jl

@@ -3,6 +3,7 @@ module PyThermo
 using PythonCall
 using Printf
 using Unitful
+using Pkg
 
 import Base: convert, ==, isequal, hash, getindex, setindex!, haskey, keys, show
 

src/init.jl

@@ -6,8 +6,20 @@ const PY_THERMO = PythonCall.pynew()
 const PY_CHEM = PythonCall.pynew()
 const PY_COPY = PythonCall.pynew()
 
+# If the user has set JULIA_CONDAPKG_OFFLINE, use that value.  Otherwise,
+# 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.
+get!(ENV, "JULIA_CONDAPKG_OFFLINE") do
+    if ispath(joinpath(dirname(Pkg.project().path), ".CondaPkg"))
+        "true"
+    else
+        "false"
+    end
+end
+
 function __init__()
     PythonCall.pycopy!(PY_THERMO, pyimport("thermo"))
     PythonCall.pycopy!(PY_CHEM, PY_THERMO.chemical)
     PythonCall.pycopy!(PY_COPY, pyimport("copy"))
-end
+end