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import streamlit as st
import folium
import numpy as np
from scipy.optimize import linear_sum_assignment
from folium import plugins
import requests
from datetime import datetime
from geopy.geocoders import Nominatim
import polyline
from typing import List, Tuple, Dict, Optional
import time
# Utility Functions
def create_numbered_marker(number: int) -> folium.features.DivIcon:
"""Create a numbered marker icon for the map"""
return folium.features.DivIcon(
html=f'<div style="background-color: white; border-radius: 50%; width: 25px; height: 25px; '
f'display: flex; align-items: center; justify-content: center; border: 2px solid blue; '
f'font-weight: bold;">{number}</div>'
)
def get_place_coordinates(place_name: str) -> Optional[Tuple[float, float]]:
"""Get coordinates for a place using Nominatim geocoding"""
try:
geolocator = Nominatim(user_agent="travel_optimizer")
location = geolocator.geocode(place_name)
if location:
return (location.latitude, location.longitude)
except Exception as e:
st.error(f"Error geocoding {place_name}: {str(e)}")
return None
def format_instructions(steps: List[Dict]) -> List[str]:
"""Format OSRM route steps into readable instructions"""
instructions = []
for step in steps:
if 'maneuver' in step:
instruction = step.get('maneuver', {}).get('instruction', '')
if instruction:
# Add distance information if available
if 'distance' in step:
distance_km = step['distance'] / 1000
if distance_km >= 1:
instruction += f" ({distance_km:.1f} km)"
else:
instruction += f" ({step['distance']:.0f} m)"
instructions.append(instruction)
return instructions
def get_route_from_osrm(coord1: Tuple[float, float], coord2: Tuple[float, float]) -> Optional[Dict]:
"""Get route information from OSRM"""
url = f"http://router.project-osrm.org/route/v1/driving/{coord1[1]},{coord1[0]};{coord2[1]},{coord2[0]}"
params = {
"overview": "full",
"geometries": "polyline",
"steps": "true",
"annotations": "true"
}
# Add rate limiting
time.sleep(1) # Respect OSRM usage guidelines
try:
response = requests.get(url, params=params)
if response.status_code == 200:
data = response.json()
if data["code"] == "Ok" and len(data["routes"]) > 0:
route = data["routes"][0]
return {
'distance': route['distance'] / 1000, # Convert to km
'duration': route['duration'] / 60, # Convert to minutes
'geometry': route['geometry'],
'steps': route['legs'][0]['steps']
}
except Exception as e:
st.warning(f"Error getting route: {str(e)}")
return None
def calculate_real_distances(places: List[Tuple[str, Tuple[float, float]]]) -> Tuple[np.ndarray, Dict]:
"""Calculate real driving distances using OSRM"""
n = len(places)
distances = np.zeros((n, n))
routing_info = {}
progress_bar = st.progress(0)
total_calcs = n * (n-1)
current_calc = 0
for i in range(n):
for j in range(n):
if i != j:
origin = places[i][1]
destination = places[j][1]
route_data = get_route_from_osrm(origin, destination)
if route_data:
distances[i,j] = route_data['distance']
routing_info[(i,j)] = {
'distance_km': f"{route_data['distance']:.1f} km",
'duration_mins': f"{route_data['duration']:.0f} mins",
'geometry': route_data['geometry'],
'steps': route_data['steps']
}
current_calc += 1
progress_bar.progress(current_calc / total_calcs)
return distances, routing_info
def optimize_route(distances: np.ndarray) -> List[int]:
"""Optimize route using modified Hungarian algorithm for TSP"""
n = len(distances)
row_ind, col_ind = linear_sum_assignment(distances)
# Convert assignment to tour
tour = []
current = 0
for _ in range(n):
tour.append(current)
current = col_ind[current]
return tour
def main():
st.set_page_config(page_title="AI Travel Route Optimizer", layout="wide")
st.title("π AI Travel Route Optimizer")
st.markdown("""
This app helps you find the optimal route between multiple destinations using real driving distances.
Enter your destinations in the sidebar and get a customized route with turn-by-turn directions.
""")
# Sidebar for inputs
with st.sidebar:
st.header("π Destinations")
# Input for places
num_places = st.number_input("Number of destinations", min_value=2, max_value=10, value=3)
places = []
for i in range(num_places):
place = st.text_input(f"Destination {i+1}")
if place:
with st.spinner(f"Finding coordinates for {place}..."):
coordinates = get_place_coordinates(place)
if coordinates:
places.append((place, coordinates))
st.success(f"β Found coordinates for {place}")
else:
st.error(f"β Couldn't find coordinates for {place}")
# Main content area
if len(places) == num_places and num_places >= 2:
col1, col2 = st.columns([2, 1])
with col1:
with st.spinner("π Calculating optimal route..."):
# Calculate real distances
distances, routing_info = calculate_real_distances(places)
# Get optimized route order
optimal_order = optimize_route(distances)
# Create map
center_lat = sum(coord[0] for _, coord in places) / len(places)
center_lon = sum(coord[1] for _, coord in places) / len(places)
m = folium.Map(location=[center_lat, center_lon], zoom_start=4)
# Add markers and route lines
total_distance = 0
total_duration = 0
for i in range(len(optimal_order)):
current_idx = optimal_order[i]
next_idx = optimal_order[(i + 1) % len(optimal_order)]
current_place, (lat, lon) = places[current_idx]
segment_info = routing_info.get((current_idx, next_idx), {})
# Add marker
popup_content = f"""
<b>Stop {i+1}: {current_place}</b><br>
"""
if i < len(optimal_order) - 1:
popup_content += f"""
To next stop:<br>
Distance: {segment_info.get('distance_km', 'N/A')}<br>
Duration: {segment_info.get('duration_mins', 'N/A')}
"""
folium.Marker(
[lat, lon],
popup=folium.Popup(popup_content, max_width=300),
icon=create_numbered_marker(i+1)
).add_to(m)
# Draw route line
if i < len(optimal_order) - 1:
if 'geometry' in segment_info:
try:
route_coords = polyline.decode(segment_info['geometry'])
folium.PolyLine(
route_coords,
weight=2,
color='blue',
opacity=0.8
).add_to(m)
except Exception as e:
st.warning(f"Error drawing route: {str(e)}")
next_place = places[next_idx][1]
folium.PolyLine(
[[lat, lon], [next_place[0], next_place[1]]],
weight=2,
color='red',
opacity=0.8
).add_to(m)
# Add to totals
if 'distance_km' in segment_info:
total_distance += float(segment_info['distance_km'].split()[0])
if 'duration_mins' in segment_info:
total_duration += float(segment_info['duration_mins'].split()[0])
# Display map
st.components.v1.html(m._repr_html_(), height=600)
with col2:
st.header("π Optimized Itinerary")
# Display summary first
st.markdown("### π Summary")
st.info(f"""
π£οΈ Total distance: **{total_distance:.1f} km**
β±οΈ Total duration: **{total_duration:.0f} mins** ({total_duration/60:.1f} hours)
""")
st.markdown("### πΊοΈ Route Details")
for i in range(len(optimal_order)):
current_idx = optimal_order[i]
next_idx = optimal_order[(i + 1) % len(optimal_order)]
current_place = places[current_idx][0]
segment_info = routing_info.get((current_idx, next_idx), {})
st.markdown(f"**Stop {i+1}: {current_place}**")
if i < len(optimal_order) - 1:
st.markdown(f"β *{segment_info.get('distance_km', 'N/A')}, "
f"Duration: {segment_info.get('duration_mins', 'N/A')}*")
if 'steps' in segment_info:
with st.expander("π Turn-by-turn directions"):
instructions = format_instructions(segment_info['steps'])
for idx, instruction in enumerate(instructions, 1):
st.write(f"{idx}. {instruction}")
else:
st.info("π Please enter all destinations in the sidebar to get started")
if __name__ == "__main__":
main() |