(v2.1.1.9107) new pkg knowledge for AMR

data-raw/_generate_python_wrapper.sh

@@ -46,9 +46,6 @@ BLUE = '\033[94m'
 GREEN = '\033[32m'
 RESET = '\033[0m'
 
-print(f"{BLUE}AMR:{RESET} Setting up R environment and AMR datasets...", flush=True)
-
-
 import os
 from rpy2 import robjects
 from rpy2.robjects import pandas2ri
@@ -58,8 +55,6 @@ import importlib.metadata as metadata
 
 # Get the path to the virtual environment
 venv_path = os.getenv('VIRTUAL_ENV')  # Path to the active virtual environment
-if not venv_path:
-    raise EnvironmentError("No virtual environment detected. Please activate your Python virtual environment.")
 
 # Define R library path within the venv
 r_lib_path = os.path.join(venv_path, "R_libs")
@@ -86,11 +81,14 @@ r_amr_version = robjects.r(f'as.character(packageVersion("AMR", lib.loc = "{r_li
 # Compare R and Python package versions
 if python_amr_version and r_amr_version != python_amr_version:
     try:
+        print(f"{BLUE}AMR:{RESET} Updating package version{RESET}", flush=True)
         utils = importr('utils')
         utils.install_packages('AMR', repos='https://msberends.r-universe.dev', quiet=True)
     except Exception as e:
         print(f"{BLUE}AMR:{RESET} Could not update: {e}{RESET}", flush=True)
 
+print(f"{BLUE}AMR:{RESET} Setting up R environment and AMR datasets...", flush=True)
+
 # Activate the automatic conversion between R and pandas DataFrames
 pandas2ri.activate()