Make implementatation name settable from cli

docs/server/Julia.rst

@@ -36,12 +36,12 @@ The server can be started with
 
 .. code-block:: sh
 
-    run-bmi-server --lang julia --name <MODEL-NAME> --port <PORT>
+    run-bmi-server --lang julia --name <MODEL-NAME>[,IMPLEMENTATION-NAME] --port <PORT>
 
 For example with [Wflow.jl](https://github.com/Deltares/Wflow.jl/) use
 
 .. code-block:: sh
 
-    run-bmi-server --lang julia --name Wflow.Model --port 55555
+    run-bmi-server --lang julia --name Wflow.Model,Wflow.bmi.BMI --port 55555
 
 The Python grpc4bmi :ref:`usage` can then be used to connect to the server.

grpc4bmi/run_server.py

@@ -78,10 +78,10 @@ def build_r(class_name, source_fn):
         raise ValueError('Missing R dependencies, install with `pip install grpc4bmi[R]')
     return BmiR(class_name, source_fn)
 
-def build_julia(name: str):
+def build_julia(name: str, implementation_name: str = 'BasicModelInterface'):
     if not BmiJulia:
         raise ValueError('Missing Julia dependencies, install with `pip install grpc4bmi[julia]')
-    return BmiJulia.from_name(name)
+    return BmiJulia.from_name(name, implementation_name)
 
 def serve(model, port):
     server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
@@ -120,7 +120,13 @@ def main(argv=sys.argv[1:]):
     if args.language == "R":
         model = build_r(args.name, path)
     elif args.language == "julia":
-        model = build_julia(args.name)
+        names = args.name.split(',')
+        if len(names) == 2:
+            model = build_julia(names[0], names[1])
+        else:
+            model = build_julia(names[0])
+        # model.initialize('t')
+        # print(model.get_component_name())
     else:
         model = build(args.name, path)