Summary

app/event_handlers/calculate_practical_tasks.py

@@ -576,8 +576,12 @@ def event_handler_calculate_practical_task_blocks(
     elif practical_subtasks.lower() == "professional skills":
         df_professional_skills = read_csv_file(config_data.Links_PROFESSIONAL_SKILLS)
 
+        pt_scores_copy = pt_scores.iloc[:, 1:].copy()
+
+        preprocess_scores_df(pt_scores_copy, config_data.Dataframes_PT_SCORES[0][0])
+
         b5._priority_skill_calculation(
-            df_files=pt_scores.iloc[:, 1:],
+            df_files=pt_scores_copy,
             correlation_coefficients=df_professional_skills,
             threshold=threshold_professional_skills,
             out=False,
@@ -607,13 +611,13 @@ def event_handler_calculate_practical_task_blocks(
             df_hidden = df_hidden.sort_values(
                 by=[dropdown_professional_skills], ascending=False
             )
+            df_hidden.reset_index(inplace=True)
         elif type_modes == config_data.Settings_TYPE_MODES[1]:
             df_hidden = df_hidden.melt(
                 var_name="Professional Skill", value_name="Summary Score"
             )
             df_hidden = df_hidden.sort_values(by=["Summary Score"], ascending=False)
-
-        df_hidden.reset_index(drop=True, inplace=True)
+            df_hidden.reset_index(drop=True, inplace=True)
 
         df_hidden.to_csv(config_data.Filenames_PT_SKILLS_SCORES)
 
@@ -726,25 +730,19 @@ def event_handler_calculate_practical_task_blocks(
 
         df_hidden.reset_index(inplace=True)
 
-        if (
-            practical_subtasks.lower()
-            != "finding a suitable colleague by personality types"
-        ):
-            person_id = (
-                int(
-                    df_hidden.iloc[
-                        (
-                            0
-                            if practical_subtasks.lower()
-                            != "finding a suitable colleague by personality types"
-                            else 1
-                        )
-                    ][config_data.Dataframes_PT_SCORES[0][0]]
-                )
-                - 1
+        person_id = (
+            int(
+                df_hidden.iloc[
+                    (
+                        0
+                        if practical_subtasks.lower()
+                        != "finding a suitable colleague by personality types"
+                        else 1
+                    )
+                ][config_data.Dataframes_PT_SCORES[0][0]]
             )
-        else:
-            person_id = 0
+            - 1
+        )
 
         person_metadata = create_person_metadata(person_id, files, video_metadata)
 
@@ -840,7 +838,7 @@ def event_handler_calculate_practical_task_blocks(
 
             df_hidden = df_hidden.reset_index()
 
-            df_hidden.columns = ["Category", "Priority"]
+            df_hidden.columns = ["Priority", "Category"]
 
         df_hidden.to_csv(consumer_preferences(practical_subtasks))
 

app/event_handlers/practical_task_sorted.py

@@ -37,7 +37,13 @@ def event_handler_practical_task_sorted(
         label = ""
     label += " " + config_data.Dataframes_PT_SCORES[0][0]
 
-    if Path(files[person_id]).name in video_metadata:
+    try:
+        is_filename = Path(files[person_id]).name in video_metadata
+    except IndexError:
+        is_filename = False
+        person_id = 0
+
+    if is_filename:
         person_metadata_list = video_metadata[Path(files[person_id]).name]
 
         person_metadata = (

config.toml

@@ -1,5 +1,5 @@
 [AppSettings]
-APP_VERSION = "0.10.10"
+APP_VERSION = "0.11.0"
 SERVER_NAME = "127.0.0.1"
 PORT = 7860
 CSS_PATH = "app.css"