Update app.py

app.py

@@ -120,6 +120,8 @@ def init_session_state():
         st.session_state.custom_start_date = datetime.date.today() - datetime.timedelta(days=7)
     if 'custom_end_date' not in st.session_state:
         st.session_state.custom_end_date = datetime.date.today()
+    if 'relevancy_scores' not in st.session_state:
+        st.session_state.relevancy_scores = {}
     #logging.info("Session state initialized")
 
 # -------------
@@ -258,7 +260,7 @@ def analyze_competitors(row, co, custom_url=None, country_code=None):
         })
     
     # Retrieve "Our Score" from the main data table
-    our_score = st.session_state['relevancy_scores'].get(our_url, 0)
+    our_score = st.session_state.relevancy_scores.get(our_url, 0)
     
     if not any(r['is_our_url'] for r in results):
         results.append({
@@ -401,11 +403,11 @@ def fetch_gsc_data(webproperty, search_type, start_date, end_date, dimensions, d
 
     
 def calculate_relevancy_scores(df, model_type):
-    st.session_state['relevancy_scores'] = {}
-    # Existing code to calculate scores
-    # After calculation
     for index, row in df.iterrows():
-        st.session_state['relevancy_scores'][row['page']] = row['relevancy_score']
+        if pd.isna(row['relevancy_score']) or row['relevancy_score'] == 0:
+            score = calculate_single_relevancy(row)
+            df.at[index, 'relevancy_score'] = score
+            st.session_state.relevancy_scores[normalize_url(row['page'])] = score
     return df
 
 # -------------