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| import streamlit as st | |
| import pandas as pd | |
| import os | |
| from pathlib import Path | |
| def home_page(): | |
| """ | |
| Render the combined home and about page | |
| """ | |
| st.title("Delivery Route Optimization") | |
| st.write(""" | |
| Welcome to the Delivery Route Optimization application! This tool helps logistics teams | |
| optimize delivery routes for a fleet of vehicles while considering constraints such as delivery time windows, | |
| vehicle capacity, and traffic conditions. | |
| Use the navigation sidebar to explore different features of this application. | |
| """) | |
| # Quick stats from data at the top | |
| try: | |
| # Get data paths | |
| root_dir = Path(__file__).resolve().parent.parent.parent | |
| delivery_path = os.path.join(root_dir, 'data', 'delivery-data', 'delivery_data.csv') | |
| vehicle_path = os.path.join(root_dir, 'data', 'vehicle-data', 'vehicle_data.csv') | |
| if os.path.exists(delivery_path) and os.path.exists(vehicle_path): | |
| # Load data for stats | |
| delivery_data = pd.read_csv(delivery_path) | |
| vehicle_data = pd.read_csv(vehicle_path) | |
| # Display stats | |
| st.subheader("Current Statistics") | |
| col1, col2, col3 = st.columns(3) | |
| with col1: | |
| st.metric("Total Deliveries", len(delivery_data)) | |
| with col2: | |
| st.metric("Total Vehicles", len(vehicle_data)) | |
| with col3: | |
| pending = delivery_data[delivery_data['status'] == 'Pending'] if 'status' in delivery_data.columns else [] | |
| st.metric("Pending Deliveries", len(pending)) | |
| # Add more detailed stats in an expander | |
| with st.expander("View More Statistics"): | |
| # Status breakdown | |
| if 'status' in delivery_data.columns: | |
| st.write("#### Delivery Status Breakdown") | |
| status_counts = delivery_data['status'].value_counts().reset_index() | |
| status_counts.columns = ['Status', 'Count'] | |
| status_chart = st.bar_chart(status_counts.set_index('Status')) | |
| # Priority breakdown | |
| if 'priority' in delivery_data.columns: | |
| st.write("#### Delivery Priority Breakdown") | |
| priority_counts = delivery_data['priority'].value_counts().reset_index() | |
| priority_counts.columns = ['Priority', 'Count'] | |
| priority_chart = st.bar_chart(priority_counts.set_index('Priority')) | |
| else: | |
| st.info("Please generate data first to see statistics") | |
| st.code("python src/utils/generate_all_data.py") | |
| except Exception as e: | |
| st.info("Generate data first to see statistics") | |
| st.code("python src/utils/generate_all_data.py") | |
| # Add the image | |
| img_path = Path(__file__).resolve().parent.parent.parent / "img" / "delivery-route-network.jpg" | |
| if os.path.exists(img_path): | |
| st.image(str(img_path), caption="Delivery Route Network") | |
| # Make sure the function can be executed standalone | |
| if __name__ == "__main__": | |
| st.set_page_config(page_title="Home - Delivery Route Optimization", page_icon="🚚", layout="wide") | |
| home_page() |