Update app.py

app.py

@@ -81,7 +81,12 @@ st.markdown("""
             margin-top: 1.5rem;
             font-weight: 600;
         }
-
+        .sidebar-contrast-block {
+            background-color: #2b2b2b !important;  /* Slightly lighter than #1A1A1A */
+            padding: 1.25rem;
+            border-radius: 10px;
+            margin-top: 1.5rem;
+        }
 
 </style>
 """, unsafe_allow_html=True)
@@ -209,14 +214,15 @@ if fetch_data:
         metadata_df = pd.DataFrame(items)
 
          # Define custom completeness check
+        # Define completeness logic
         def is_incomplete(value):
             return pd.isna(value) or value in ["", "N/A", "null", None]
         
-        # Create mask for incomplete rows
-        incomplete_mask = metadata_df.applymap(is_incomplete).any(axis=1)
+        # New way to calculate incomplete record mask
+        incomplete_mask = metadata_df.apply(lambda row: row.map(is_incomplete), axis=1).any(axis=1)
         incomplete_count = incomplete_mask.sum()
         
-        # ✅ Fill in the Quick Stats placeholder
+        # Display in sidebar
         if not metadata_df.empty:
             stats_html = f"""
             <div class="sidebar-stats">
@@ -228,6 +234,7 @@ if fetch_data:
             stats_placeholder.markdown(stats_html, unsafe_allow_html=True)
 
 
+
             st.sidebar.write(f"Incomplete Records: {len(metadata_df[metadata_df.isnull().any(axis=1)])}")
 
         # Utility functions for deeper metadata quality analysis