Create analytics.py

utils/analytics.py

@@ -0,0 +1,73 @@
+# utils/analytics.py
+
+def get_collection_analytics(conn: sqlite3.Connection) -> Dict:
+    """Get analytics for collections and documents."""
+    analytics = {}
+    
+    # Most used collections
+    cursor = conn.cursor()
+    cursor.execute("""
+        SELECT 
+            c.name,
+            COUNT(DISTINCT cm.chat_id) as usage_count
+        FROM collections c
+        LEFT JOIN chats ch ON c.id = ch.collection_id
+        LEFT JOIN chat_messages cm ON ch.id = cm.chat_id
+        GROUP BY c.id
+        ORDER BY usage_count DESC
+        LIMIT 5
+    """)
+    analytics['top_collections'] = cursor.fetchall()
+    
+    # Most viewed documents
+    cursor.execute("""
+        SELECT 
+            d.name,
+            COUNT(q.id) as query_count
+        FROM documents d
+        LEFT JOIN queries q ON d.id = q.document_id
+        GROUP BY d.id
+        ORDER BY query_count DESC
+        LIMIT 5
+    """)
+    analytics['top_documents'] = cursor.fetchall()
+    
+    # Recent questions
+    cursor.execute("""
+        SELECT DISTINCT query
+        FROM queries
+        ORDER BY query_date DESC
+        LIMIT 5
+    """)
+    analytics['recent_questions'] = cursor.fetchall()
+    
+    return analytics
+
+def display_analytics_dashboard():
+    """Display analytics dashboard."""
+    st.markdown("### 📊 Analytics Dashboard")
+    
+    analytics = get_collection_analytics(st.session_state.db_conn)
+    
+    col1, col2, col3 = st.columns(3)
+    
+    with col1:
+        st.markdown("#### Top Collections")
+        if analytics['top_collections']:
+            chart_data = pd.DataFrame(
+                analytics['top_collections'],
+                columns=['Collection', 'Usage']
+            )
+            st.bar_chart(chart_data.set_index('Collection'))
+    
+    with col2:
+        st.markdown("#### Most Viewed Documents")
+        if analytics['top_documents']:
+            for doc in analytics['top_documents']:
+                st.metric(doc[0], f"{doc[1]} views")
+    
+    with col3:
+        st.markdown("#### Recent Questions")
+        if analytics['recent_questions']:
+            for question in analytics['recent_questions']:
+                st.write(f"• {question[0]}")