Update app.py

app.py

@@ -26,6 +26,7 @@ def single_main(uploaded_file):
         data['Start datetime'] = pd.to_datetime(data['Start datetime'], errors='coerce')
         data['End datetime'] = pd.to_datetime(data['End datetime'], errors='coerce')
         data['Time spent'] = (data['End datetime'] - data['Start datetime']).dt.total_seconds()
+        data['Time spent(m:s)'] = pd.to_datetime(data['Time spent'], unit='s').dt.strftime('%M:%S')
 
         # st.write(data)
 
@@ -64,7 +65,7 @@ def single_main(uploaded_file):
 
             # Convert average time spent from seconds to minutes and seconds format
             average_time_spent_seconds['Time spent'] = pd.to_datetime(average_time_spent_seconds['Time spent'], unit='s').dt.strftime('%M:%S')
-
+            
             # Group by functional area and get the start datetime for sorting
             start_datetime_group = filtered_scenarios.groupby('Functional area')['Start datetime'].min().reset_index()
 
@@ -72,10 +73,20 @@ def single_main(uploaded_file):
             average_time_spent_seconds = average_time_spent_seconds.merge(start_datetime_group, on='Functional area')
 
             # Filter scenarios based on selected functional area
+            if selected_status == 'Failed':
+                grouped_filtered_failed_scenarios = filtered_scenarios.groupby('Functional area')[['Scenario name', 'Error message','Time spent(m:s)']].apply(lambda x: x.reset_index(drop=True))
+            elif selected_status == 'Passed':
+                grouped_filtered_failed_scenarios = filtered_scenarios.groupby('Functional area')[['Scenario name', 'Time spent(m:s)']].apply(lambda x: x.reset_index(drop=True))
+            else:  
+                grouped_filtered_failed_scenarios = None
+           
             
-            grouped_filtered_failed_scenarios = filtered_scenarios.groupby('Functional area')[['Scenario name', 'Error message']].apply(lambda x: x.reset_index(drop=True))
-            st.dataframe(grouped_filtered_failed_scenarios)
-        
+            grouped_filtered_failed_scenarios.reset_index(inplace=True)
+            grouped_filtered_failed_scenarios.drop(columns=['level_1'], inplace=True)
+            # grouped_filtered_failed_scenarios['level_1'] = index
+            grouped_filtered_failed_scenarios.index = grouped_filtered_failed_scenarios.index + 1
+           
+            st.dataframe(grouped_filtered_failed_scenarios)     
         
          # Display total count of failures
             fail_count = len(failed_scenarios)
@@ -89,6 +100,7 @@ def single_main(uploaded_file):
 
            # Display average time spent on each functional area in a table
             st.markdown("### Average Time Spent on Each Functional Area")
+            average_time_spent_seconds.index = average_time_spent_seconds.index + 1
             st.dataframe(average_time_spent_seconds)
 
         # Create and display bar graph of errors by functional area
@@ -102,7 +114,7 @@ def single_main(uploaded_file):
             plt.xticks(rotation=45, ha='right')
             plt.tight_layout()  # Add this line to adjust layout
             st.pyplot(plt)
-
+            
         else:
             st.write("### No scenarios with status 'failed' found.")  
     pass