enhance the ability to auto fix missing parameters in df_state

src/supy/_check.py

@@ -210,6 +210,8 @@ def check_state(df_state: pd.DataFrame, fix=True) -> List:
     # these variables dont have to be checked
     list_var_exclude = [
         "ts5mindata_ir",
+        "metforcingblock",
+        "len_sim",
     ]
 
     # variables defined in the rule json file:
@@ -383,7 +385,7 @@ def upgrade_df_state(df_state: pd.DataFrame) -> pd.DataFrame:
         from ._supy_module import init_supy
 
         # load base df_state
-        path_SampleData = Path(trv_supy_module) / "sample_run"
+        path_SampleData = trv_supy_module.joinpath("sample_run")
         path_runcontrol = path_SampleData / "RunControl.nml"
         df_state_base = init_supy(path_runcontrol, force_reload=False)
 

src/supy/_supy_module.py

@@ -280,7 +280,7 @@ def run_supy(
     logging_level=logging.INFO,
     check_input=False,
     serial_mode=False,
-    debug_mode=False,
+    debug_mode=False, # TODO: #275 to be implemented to enable debug mode
 ) -> Tuple[pandas.DataFrame, pandas.DataFrame]:
     """Perform supy simulation.
 
@@ -337,12 +337,16 @@ def run_supy(
                 "SuPy stopped entering simulation due to invalid forcing!"
             )
         # initial model states:
-        list_issues_state = check_state(df_state_init)
-        if isinstance(list_issues_state, list):
+        res_check_state = check_state(df_state_init)
+        if isinstance(res_check_state, list):
             logger_supy.critical(f"`df_state_init` is NOT valid to initialise SuPy!")
             raise RuntimeError(
                 "SuPy stopped entering simulation due to invalid initial states!"
             )
+        else:
+            logger_supy.info(f"SuPy simulation is starting ...")
+            if isinstance(res_check_state, pd.DataFrame):
+                df_state_init = res_check_state
 
     # set up a timer for simulation time
     start = time.time()