Update app.py

app.py

@@ -484,8 +484,8 @@ def show_tabular_data(df, co):
         selected_indices = [i for i, selected in enumerate(st.session_state.selected_rows) if selected]
         with st.spinner('Calculating relevancy scores...'):
             for index in selected_indices:
-                if pd.isna(df.at[index, 'relevancy_score']) or df.at[index, 'relevancy_score'] == 0:
-                    df.at[index, 'relevancy_score'] = calculate_single_relevancy(df.iloc[index])
+                if pd.isna(df.iloc[index]['relevancy_score']) or df.iloc[index]['relevancy_score'] == 0:
+                    df.iloc[index, df.columns.get_loc('relevancy_score')] = calculate_single_relevancy(df.iloc[index])
         st.success(f"Calculated relevancy scores for {len(selected_indices)} selected rows.")
         st.experimental_rerun()
     
@@ -496,41 +496,41 @@ def show_tabular_data(df, co):
         col.write(f"**{header}**")
 
     # Display each row
-    for i, (index, row) in enumerate(df.iloc[start_idx:end_idx].iterrows()):
+    for i, row in enumerate(df.iloc[start_idx:end_idx].itertuples(), start=start_idx):
         cols = st.columns([0.5, 3, 2, 1, 1, 1, 1, 1, 1])
         
         # Checkbox for row selection
-        cols[0].checkbox("", key=f"select_{index}", value=st.session_state.selected_rows[index],
-                         on_change=lambda i=index: setattr(st.session_state, 'selected_rows', 
-                                                           [True if j == i else x for j, x in enumerate(st.session_state.selected_rows)]))
+        cols[0].checkbox("", key=f"select_{i}", value=st.session_state.selected_rows[i],
+                         on_change=lambda idx=i: setattr(st.session_state, 'selected_rows', 
+                                                           [True if j == idx else x for j, x in enumerate(st.session_state.selected_rows)]))
         
         # Truncate and make the URL clickable
-        truncated_url = row['page'][:30] + '...' if len(row['page']) > 30 else row['page']
-        cols[1].markdown(f"[{truncated_url}]({row['page']})")
+        truncated_url = row.page[:30] + '...' if len(row.page) > 30 else row.page
+        cols[1].markdown(f"[{truncated_url}]({row.page})")
         
-        cols[2].write(row['query'])
-        cols[3].write(row['clicks'])
-        cols[4].write(row['impressions'])
-        cols[5].write(f"{row['ctr']:.2%}")
-        cols[6].write(f"{row['position']:.1f}")
-        cols[7].write(f"{row['relevancy_score']:.4f}" if not pd.isna(row['relevancy_score']) and row['relevancy_score'] != 0 else "N/A")
+        cols[2].write(row.query)
+        cols[3].write(row.clicks)
+        cols[4].write(row.impressions)
+        cols[5].write(f"{row.ctr:.2%}")
+        cols[6].write(f"{row.position:.1f}")
+        cols[7].write(f"{row.relevancy_score:.4f}" if not pd.isna(row.relevancy_score) and row.relevancy_score != 0 else "N/A")
         
         # Competitors column
-        competitor_button = cols[8].button("Show", key=f"comp_{index}", disabled=pd.isna(row['relevancy_score']) or row['relevancy_score'] == 0)
+        competitor_button = cols[8].button("Show", key=f"comp_{i}", disabled=pd.isna(row.relevancy_score) or row.relevancy_score == 0)
         if competitor_button:
-            st.write(f"Competitor Analysis for: {row['query']}")
+            st.write(f"Competitor Analysis for: {row.query}")
             with st.spinner('Analyzing competitors...'):
-                results_df = analyze_competitors(row, co)
+                results_df = analyze_competitors(row._asdict(), co)
                 
                 # Sort the results by relevancy score in descending order
                 results_df = results_df.sort_values('relevancy_score', ascending=False).reset_index(drop=True)
                 
                 # Find our page's rank
-                our_rank = results_df.index[results_df['url'] == row['page']].tolist()
+                our_rank = results_df.index[results_df['url'] == row.page].tolist()
                 if our_rank:
                     our_rank = our_rank[0] + 1  # Adding 1 because index starts at 0
                     total_results = len(results_df)
-                    our_score = results_df.loc[results_df['url'] == row['page'], 'relevancy_score'].values[0]
+                    our_score = results_df.loc[results_df['url'] == row.page, 'relevancy_score'].values[0]
                     
                     st.dataframe(results_df)
                     st.write(f"Our page ranks {our_rank} out of {total_results} in terms of relevancy score.")
@@ -543,7 +543,7 @@ def show_tabular_data(df, co):
                     elif our_rank > total_results / 2:
                         st.warning("Your page's relevancy score is in the lower half of the results. Consider optimizing your content.")
                 else:
-                    st.error(f"Our page '{row['page']}' is not in the results. This indicates an error in fetching or processing the page.")
+                    st.error(f"Our page '{row.page}' is not in the results. This indicates an error in fetching or processing the page.")
 
     return df  # Return the updated dataframe