Summary

app/event_handlers/calculate_practical_tasks.py

@@ -585,26 +585,44 @@ def event_handler_calculate_practical_task_blocks(
 
         df = apply_rounding_and_rename_columns(b5.df_files_priority_skill_)
 
-        professional_skills_list = (
-            config_data.Settings_DROPDOWN_PROFESSIONAL_SKILLS.copy()
-        )
+        if type_modes == config_data.Settings_TYPE_MODES[0]:
+            professional_skills_list = (
+                config_data.Settings_DROPDOWN_PROFESSIONAL_SKILLS.copy()
+            )
 
-        professional_skills_list.remove(dropdown_professional_skills)
+            professional_skills_list.remove(dropdown_professional_skills)
+
+            del_cols = []
+        elif type_modes == config_data.Settings_TYPE_MODES[1]:
+            professional_skills_list = []
+            del_cols = config_data.Settings_DROPDOWN_MBTI_DEL_COLS_WEBCAM
 
         df_hidden = df.drop(
             columns=config_data.Settings_SHORT_PROFESSIONAL_SKILLS
             + professional_skills_list
+            + del_cols
         )
 
-        df_hidden.to_csv(config_data.Filenames_PT_SKILLS_SCORES)
+        if type_modes == config_data.Settings_TYPE_MODES[0]:
+            df_hidden = df_hidden.sort_values(
+                by=[dropdown_professional_skills], ascending=False
+            )
+        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(inplace=True)
+        df_hidden.reset_index(drop=True, inplace=True)
 
-        df_hidden = df_hidden.sort_values(
-            by=[dropdown_professional_skills], ascending=False
-        )
+        df_hidden.to_csv(config_data.Filenames_PT_SKILLS_SCORES)
 
-        person_id = int(df_hidden.iloc[0][config_data.Dataframes_PT_SCORES[0][0]]) - 1
+        if type_modes == config_data.Settings_TYPE_MODES[0]:
+            person_id = (
+                int(df_hidden.iloc[0][config_data.Dataframes_PT_SCORES[0][0]]) - 1
+            )
+        elif type_modes == config_data.Settings_TYPE_MODES[1]:
+            person_id = 0
 
         person_metadata = create_person_metadata(person_id, files, video_metadata)
 

app/tabs.py

@@ -223,7 +223,7 @@ def app_tab():
             )
 
             threshold_professional_skills = number_create_ui(
-                value=0.45,
+                value=0.5,
                 minimum=0.0,
                 maximum=1.0,
                 step=0.01,

config.toml

@@ -1,5 +1,5 @@
 [AppSettings]
-APP_VERSION = "0.10.5"
+APP_VERSION = "0.10.6"
 SERVER_NAME = "127.0.0.1"
 PORT = 7860
 CSS_PATH = "app.css"