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Sleeping
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) |