Expose rft input files as arguments (#1313)

* exposed rft input files as arguments

* black version updated

* pylint fixes

* pylint fixes

* more fixes

---------

Co-authored-by: Øyvind Lind-Johansen <[email protected]>

Author: lindjoha

webviz_subsurface/plugins/_rft_plotter/_plugin.py

@@ -102,18 +102,23 @@ class Ids(StrEnum):
     def __init__(
         self,
         webviz_settings: WebvizSettings,
+        rft: str = "share/results/tables/rft.csv",
+        rft_ert: str = "share/results/tables/rft_ert.csv",
         csvfile_rft: Path = None,
         csvfile_rft_ert: Path = None,
         ensembles: Optional[List[str]] = None,
         formations: Path = None,
         obsdata: Path = None,
         faultlines: Path = None,
     ) -> None:
+        # pylint: disable = too-many-arguments
         super().__init__()
 
         self._datamodel = RftPlotterDataModel(
             webviz_settings,
             ensembles,
+            rft,
+            rft_ert,
             formations,
             faultlines,
             obsdata,

webviz_subsurface/plugins/_rft_plotter/_utils/_rft_plotter_data_model.py

@@ -27,12 +27,15 @@ def __init__(
         self,
         webviz_settings: WebvizSettings,
         ensembles: Optional[List[str]],
+        rft: str,
+        rft_ert: str,
         formations: Path = None,
         faultlines: Path = None,
         obsdata: Path = None,
         csvfile_rft: Path = None,
         csvfile_rft_ert: Path = None,
     ):
+        # pylint: disable = too-many-arguments
         self.formations = formations
         self.faultlines = faultlines
         self.obsdata = obsdata
@@ -67,12 +70,12 @@ def __init__(
 
             self.ertdatadf = create_csvfile_providerset_from_paths(
                 ens_paths,
-                "share/results/tables/rft_ert.csv",
+                rft_ert,
             ).get_aggregated_dataframe()
 
             try:
                 self.simdf = create_csvfile_providerset_from_paths(
-                    ens_paths, "share/results/tables/rft.csv"
+                    ens_paths, rft
                 ).get_aggregated_dataframe()
 
             except ValueError as err: