encapsulate all plot routines into a try except statement with a general Exception case

mlair/run_modules/post_processing.py

@@ -239,6 +239,7 @@ class PostProcessing(RunEnvironment):
             model = keras.models.load_model(model_name, custom_objects=model_class.custom_objects)
         return model
 
+    # noinspection PyBroadException
     def plot(self):
         """
         Create all plots.
@@ -263,14 +264,26 @@ class PostProcessing(RunEnvironment):
         plot_list = self.data_store.get("plot_list", "postprocessing")
         time_dimension = self.data_store.get("time_dim")
 
-        if ("filter" in self.test_data[0].get_X(as_numpy=False)[0].coords) and ("PlotSeparationOfScales" in plot_list):
+        try:
+            if ("filter" in self.test_data[0].get_X(as_numpy=False)[0].coords) and (
+                    "PlotSeparationOfScales" in plot_list):
                 PlotSeparationOfScales(self.test_data, plot_folder=self.plot_path)
+        except Exception as e:
+            logging.error(f"Could not create plot PlotSeparationOfScales due to the following error: {e}")
 
+        try:
             if (self.bootstrap_skill_scores is not None) and ("PlotBootstrapSkillScore" in plot_list):
                 PlotBootstrapSkillScore(self.bootstrap_skill_scores, plot_folder=self.plot_path, model_setup="CNN")
+        except Exception as e:
+            logging.error(f"Could not create plot PlotBootstrapSkillScore due to the following error: {e}")
 
+        try:
             if "PlotConditionalQuantiles" in plot_list:
                 PlotConditionalQuantiles(self.test_data.keys(), data_pred_path=path, plot_folder=self.plot_path)
+        except Exception as e:
+            logging.error(f"Could not create plot PlotConditionalQuantiles due to the following error: {e}")
+
+        try:
             if "PlotStationMap" in plot_list:
                 if self.data_store.get("hostname")[:2] in self.data_store.get("hpc_hosts") or self.data_store.get(
                         "hostname")[:6] in self.data_store.get("hpc_hosts"):
@@ -284,25 +297,50 @@ class PostProcessing(RunEnvironment):
                     gens = [(self.train_val_data, {"marker": 8, "ms": 9}),
                             (self.test_data, {"marker": 9, "ms": 9})]
                     PlotStationMap(generators=gens, plot_folder=self.plot_path, plot_name="station_map_var")
+        except Exception as e:
+            logging.error(f"Could not create plot PlotStationMap due to the following error: {e}")
+
+        try:
             if "PlotMonthlySummary" in plot_list:
                 PlotMonthlySummary(self.test_data.keys(), path, r"forecasts_%s_test.nc", self.target_var,
                                    plot_folder=self.plot_path)
+        except Exception as e:
+            logging.error(f"Could not create plot PlotMonthlySummary due to the following error: {e}")
+
+        try:
             if "PlotClimatologicalSkillScore" in plot_list:
                 PlotClimatologicalSkillScore(self.skill_scores[1], plot_folder=self.plot_path, model_setup="CNN")
                 PlotClimatologicalSkillScore(self.skill_scores[1], plot_folder=self.plot_path, score_only=False,
                                              extra_name_tag="all_terms_", model_setup="CNN")
+        except Exception as e:
+            logging.error(f"Could not create plot PlotClimatologicalSkillScore due to the following error: {e}")
+
+        try:
             if "PlotCompetitiveSkillScore" in plot_list:
                 PlotCompetitiveSkillScore(self.skill_scores[0], plot_folder=self.plot_path, model_setup="CNN")
+        except Exception as e:
+            logging.error(f"Could not create plot PlotCompetitiveSkillScore due to the following error: {e}")
+
+        try:
             if "PlotTimeSeries" in plot_list:
                 PlotTimeSeries(self.test_data.keys(), path, r"forecasts_%s_test.nc", plot_folder=self.plot_path,
                                sampling=self._sampling)
+        except Exception as e:
+            logging.error(f"Could not create plot PlotTimeSeries due to the following error: {e}")
+
+        try:
             if "PlotAvailability" in plot_list:
                 avail_data = {"train": self.train_data, "val": self.val_data, "test": self.test_data}
                 PlotAvailability(avail_data, plot_folder=self.plot_path, time_dimension=time_dimension)
+        except Exception as e:
+            logging.error(f"Could not create plot PlotAvailability due to the following error: {e}")
+
+        try:
             if "PlotAvailabilityHistogram" in plot_list:
                 avail_data = {"train": self.train_data, "val": self.val_data, "test": self.test_data}
                 PlotAvailabilityHistogram(avail_data, plot_folder=self.plot_path, )  # time_dimension=time_dimension)
-
+        except Exception as e:
+            logging.error(f"Could not create plot PlotAvailabilityHistogram due to the following error: {e}")
 
     def calculate_test_score(self):
         """Evaluate test score of model and save locally."""