import streamlit as st
import pandas as pd

# Placeholder data structures (replace with actual data sources)
drivers = pd.DataFrame(columns=["driver_id", "name", "location", "status"])
orders = pd.DataFrame(columns=["order_id", "pickup_location", "dropoff_location", "status"])
zone_pressure = pd.DataFrame(columns=['zone_id', 'pressure_level'])

# Basic UI structure
st.title("Dispatch Call Scheduler")

# Sidebar for navigation and actions
with st.sidebar:
    st.header("Navigation")
    selected_page = st.radio("Go to", ["Order Management", "Driver Management", "Zone Pressure", "Analytics"])

    st.header("Actions")
    if st.button("Schedule Dispatch"):
        # Logic to schedule a dispatch based on current data
        st.write("Dispatch scheduled!")



# Order Management page
if selected_page == "Order Management":
    st.subheader("Order Management")
    # Display order list, allow creating new orders, updating status, etc.
    st.write(orders)

# Driver Management page
elif selected_page == "Driver Management":
    st.subheader("Driver Management")
    # Display driver list, their locations, availability, allow assigning orders
    st.write(drivers)

# Zone Monitoring page
elif selected_page == "Zone Pressure":
    st.subheader("Dynamic Zone Pressure Monitoring")
    # Visualize zone pressure (e.g., using a heatmap), consider pickup/drop-off scheduling
    st.write(zones)

# Analytics Dashboard page
elif selected_page == "Analytics":
    st.subheader("Analytics Dashboard")
    # Display key performance indicators, delivery times, customer satisfaction, etc.

# Placeholder to display data
st.write(drivers)
st.write(orders)