Update app.py

app.py

@@ -2,13 +2,17 @@ import streamlit as st
 from src.ui.auth import check_authentication
 from src.ui.pages import dashboard, interaction_logger
 from src.core.services.interaction_service import InteractionService
+from src.core.services.database_service import DatabaseService
 from src.ai.llm_service import LLMService
 
-# Initialize services
 def init_services():
     """Initialize application services"""
     if 'services' not in st.session_state:
+        # Initialize database service first
+        db_service = DatabaseService()
+        
         st.session_state.services = {
+            'db': db_service,
             'llm': LLMService(
                 openai_api_key=st.secrets["OPENAI_API_KEY"],
                 anthropic_api_key=st.secrets["ANTHROPIC_API_KEY"]
@@ -64,7 +68,60 @@ def main():
         dashboard.show()
     elif page == "Log Interaction":
         interaction_logger.show()
+    elif page == "My Accounts":
+        show_my_accounts()
     # Add more page routing as needed
 
+def show_my_accounts():
+    """Display user's accounts page"""
+    st.title("My Accounts")
+    
+    # Get user's accounts
+    db_service = st.session_state.services['db']
+    accounts = db_service.get_user_accounts(st.session_state.user['id'])
+    
+    if not accounts:
+        st.info("No accounts found")
+        return
+    
+    # Account selection
+    selected_account = st.selectbox(
+        "Select Account",
+        options=accounts,
+        format_func=lambda x: x['name']
+    )
+    
+    if selected_account:
+        # Get account metrics
+        metrics = db_service.get_account_metrics(selected_account['id'])
+        
+        # Display metrics
+        col1, col2, col3, col4 = st.columns(4)
+        with col1:
+            st.metric("Total Interactions", metrics['interaction_count'])
+        with col2:
+            st.metric("Total Contacts", metrics['contact_count'])
+        with col3:
+            st.metric("Avg Sentiment", f"{metrics['avg_sentiment']:.2f}")
+        with col4:
+            st.metric("Annual Revenue", f"${selected_account['annual_revenue']}M")
+        
+        # Recent interactions
+        st.subheader("Recent Interactions")
+        recent = db_service.get_recent_interactions(
+            st.session_state.user['id'],
+            limit=5
+        )
+        
+        for interaction in recent:
+            with st.expander(
+                f"{interaction['type']} on {interaction['created_at'][:10]}"
+            ):
+                st.write(f"Summary: {interaction['summary']}")
+                if interaction['sentiment_score']:
+                    st.write(f"Sentiment: {interaction['sentiment_score']:.2f}")
+                if interaction['metadata'].get('location'):
+                    st.write(f"Location: {interaction['metadata']['location']}")
+
 if __name__ == "__main__":
     main()