Update app.py

app.py

@@ -558,17 +558,76 @@ def show_dimensions_selector(search_type):
     )
 
 def show_paginated_dataframe(report, rows_per_page=20):
-    # ... (rest of the function remains unchanged)
+  #  logging.info("Showing paginated dataframe")
+    report['position'] = report['position'].astype(int)
+    report['impressions'] = pd.to_numeric(report['impressions'], errors='coerce')
+    
+    def format_ctr(x):
+        try:
+            return f"{float(x):.2%}"
+        except ValueError:
+            return x
+    
+    def format_relevancy_score(x):
+        try:
+            return f"{float(x):.2f}"
+        except ValueError:
+            return x
+    
+    report['ctr'] = report['ctr'].apply(format_ctr)
+    report['relevancy_score'] = report['relevancy_score'].apply(format_relevancy_score)
+    
+    def truncate_url(url, max_length=30):
+        return url[:max_length] + '...' if len(url) > max_length else url
 
-# Add this function to fetch page titles
-def get_page_title(url):
-    try:
-        response = requests.get(url, timeout=5)
-        soup = BeautifulSoup(response.text, 'html.parser')
-        title = soup.title.string if soup.title else None
-        return title.strip() if title else None
-    except:
-        return None
+    def make_clickable(url):
+        truncated_url = truncate_url(url)
+        return f'<a href="{url}" target="_blank">{truncated_url}</a>'
+    
+    report['clickable_url'] = report['page'].apply(make_clickable)
+    
+    columns = ['clickable_url', 'query', 'impressions', 'clicks', 'ctr', 'position', 'relevancy_score']
+    report = report[columns]
+
+    sort_column = st.selectbox("Sort by:", columns[1:], index=columns[1:].index('impressions'))
+    sort_order = st.radio("Sort order:", ("Descending", "Ascending"))
+    
+    ascending = sort_order == "Ascending"
+    
+    def safe_float_convert(x):
+        try:
+            return float(x.rstrip('%')) / 100 if isinstance(x, str) and x.endswith('%') else float(x)
+        except ValueError:
+            return 0
+    
+    report['ctr_numeric'] = report['ctr'].apply(safe_float_convert)
+    report['relevancy_score_numeric'] = report['relevancy_score'].apply(safe_float_convert)
+    
+    sort_column_numeric = sort_column + '_numeric' if sort_column in ['ctr', 'relevancy_score'] else sort_column
+    report = report.sort_values(by=sort_column_numeric, ascending=ascending)
+    
+    report = report.drop(columns=['ctr_numeric', 'relevancy_score_numeric'])
+
+    total_rows = len(report)
+    total_pages = (total_rows - 1) // rows_per_page + 1
+
+    if 'current_page' not in st.session_state:
+        st.session_state.current_page = 1
+
+    col1, col2, col3 = st.columns([1,3,1])
+    with col1:
+        if st.button("Previous", disabled=st.session_state.current_page == 1):
+            st.session_state.current_page -= 1
+    with col2:
+        st.write(f"Page {st.session_state.current_page} of {total_pages}")
+    with col3:
+        if st.button("Next", disabled=st.session_state.current_page == total_pages):
+            st.session_state.current_page += 1
+
+    start_idx = (st.session_state.current_page - 1) * rows_per_page
+    end_idx = start_idx + rows_per_page
+    
+    st.markdown(report.iloc[start_idx:end_idx].to_html(escape=False, index=False), unsafe_allow_html=True)
 
 # -------------
 # Main Streamlit App Function