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| import streamlit as st | |
| import pandas as pd | |
| # DataFrames to store information | |
| 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']) | |
| analytics = pd.DataFrame(columns=['performance_indicators', 'driver_trips', 'delivery_times', 'delivery_delay', 'customer_satisfaction']) | |
| # 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") | |
| # Add new order | |
| with st.form("add_order_form"): | |
| st.write("Add New Order") | |
| order_id = st.text_input("Order ID") | |
| pickup_location = st.text_input("Pickup Location") | |
| dropoff_location = st.text_input("Dropoff Location") | |
| status = st.selectbox("Status", ["Pending", "In Progress", "Completed"]) | |
| submitted = st.form_submit_button("Add Order") | |
| if submitted: | |
| new_order = pd.DataFrame({ | |
| 'order_id': [order_id], | |
| 'pickup_location': [pickup_location], | |
| 'dropoff_location': [dropoff_location], | |
| 'status': [status] | |
| }) | |
| orders = pd.concat([orders, new_order], ignore_index=True) | |
| # Display order list | |
| st.write(orders) | |
| # Driver Management page | |
| elif selected_page == "Driver Management": | |
| st.subheader("Driver Management") | |
| # Add new driver | |
| with st.form("add_driver_form"): | |
| st.write("Add New Driver") | |
| driver_id = st.text_input("Driver ID") | |
| name = st.text_input("Name") | |
| location = st.text_input("Location") | |
| status = st.selectbox("Status", ["Available", "Unavailable"]) | |
| submitted = st.form_submit_button("Add Driver") | |
| if submitted: | |
| new_driver = pd.DataFrame({ | |
| 'driver_id': [driver_id], | |
| 'name': [name], | |
| 'location': [location], | |
| 'status': [status] | |
| }) | |
| drivers = pd.concat([drivers, new_driver], ignore_index=True) | |
| # Display driver list | |
| st.write(drivers) | |
| # Zone Monitoring page | |
| elif selected_page == "Zone Pressure": | |
| st.subheader("Dynamic Zone Pressure Monitoring") | |
| # Add new zone pressure data | |
| with st.form("add_zone_pressure_form"): | |
| st.write("Add Zone Pressure Data") | |
| zone_id = st.text_input("Zone ID") | |
| pressure_level = st.number_input("Pressure Level", min_value=0, max_value=10, value=0) | |
| submitted = st.form_submit_button("Add Zone Data") | |
| if submitted: | |
| new_zone_data = pd.DataFrame({ | |
| 'zone_id': [zone_id], | |
| 'pressure_level': [pressure_level] | |
| }) | |
| zone_pressure = pd.concat([zone_pressure, new_zone_data], ignore_index=True) | |
| # Display zone pressure data | |
| st.write(zone_pressure) | |
| # Analytics Dashboard page | |
| elif selected_page == "Analytics": | |
| st.subheader("Analytics Dashboard") | |
| # Add analytics information (consider using a more structured input method) | |
| with st.form("add_analytics_form"): | |
| st.write("Add Analytics Information") | |
| performance_indicators = st.text_input("Performance Indicators") | |
| driver_trips = st.text_input("Driver Trips") | |
| delivery_times = st.text_input("Delivery Times") | |
| delivery_delay = st.text_input("Delivery Delay") | |
| customer_satisfaction = st.text_input("Customer Satisfaction") | |
| submitted = st.form_submit_button("Add Analytics Data") | |
| if submitted: | |
| new_analytics_data = pd.DataFrame({ | |
| 'performance_indicators': [performance_indicators], | |
| 'driver_trips': [driver_trips], | |
| 'delivery_times': [delivery_times], | |
| 'delivery_delay': [delivery_delay], | |
| 'customer_satisfaction': [customer_satisfaction] | |
| }) | |
| analytics = pd.concat([analytics, new_analytics_data], ignore_index=True) | |
| # Display analytics information | |
| st.write(analytics) |