plot backend refacored

qcdash/app.py

@@ -16,8 +16,6 @@ from quacc.evaluation.estimators import CE
 from quacc.evaluation.report import CompReport, DatasetReport
 from quacc.evaluation.stats import wilcoxon
 
-backend = plot.get_backend("plotly")
-
 valid_plot_modes = defaultdict(lambda: CompReport._default_modes)
 valid_plot_modes["avg"] = DatasetReport._default_dr_modes
 
@@ -50,7 +48,9 @@ def get_datasets(root: str | Path) -> List[DatasetReport]:
     return {str(drp.parent): load_dataset(drp) for drp in dr_paths}
 
 
-def get_fig(dr: DatasetReport, metric, estimators, view, mode):
+def get_fig(dr: DatasetReport, metric, estimators, view, mode, backend=None):
+    _backend = backend or plot.get_backend("plotly")
+    print(_backend)
     estimators = CE.name[estimators]
     match (view, mode):
         case ("avg", _):
@@ -60,7 +60,7 @@ def get_fig(dr: DatasetReport, metric, estimators, view, mode):
                 estimators=estimators,
                 conf="plotly",
                 save_fig=False,
-                backend=backend,
+                backend=_backend,
             )
         case (_, _):
             cr = dr.crs[[str(round(c.train_prev[1] * 100)) for c in dr.crs].index(view)]
@@ -70,7 +70,7 @@ def get_fig(dr: DatasetReport, metric, estimators, view, mode):
                 estimators=estimators,
                 conf="plotly",
                 save_fig=False,
-                backend=backend,
+                backend=_backend,
             )
 
 

quacc/plot/plot.py

@@ -5,8 +5,8 @@ from quacc.plot.plotly import PlotlyPlot
 __backend: BasePlot = MplPlot()
 
 
-def get_backend(be, theme=None):
-    match be:
+def get_backend(name, theme=None):
+    match name:
         case "matplotlib" | "mpl":
             return MplPlot()
         case "plotly":