app.py

import streamlit as st
import openrouteservice
from openrouteservice import convert
import requests
from geopy.geocoders import Nominatim
import folium
from streamlit_folium import st_folium
import os
from urllib.parse import quote

# Page setup
st.set_page_config(page_title="Commute Planner", layout="centered")
st.title("🚗 Commute Planner")
st.markdown("Estimate travel time, view the route, check weather, air quality, and traffic alerts.")

# API keys
ORS_API_KEY = os.getenv("ORS_API_KEY", st.secrets.get("ORS_API_KEY", ""))
OWM_API_KEY = os.getenv("OWM_API_KEY", st.secrets.get("OWM_API_KEY", ""))

# Initialize services
client = openrouteservice.Client(key=ORS_API_KEY)
geolocator = Nominatim(user_agent="commute_planner")

# Transport options
transport_modes = {
    "Driving": "driving-car",
    "Walking": "foot-walking",
    "Cycling": "cycling-regular",
    "Transit (experimental)": "driving-hgv"
}

# Inputs
start_location = st.text_input("Enter Start Location", key="start")
end_location = st.text_input("Enter Destination", key="end")
mode = st.selectbox("Select Transportation Mode", list(transport_modes.keys()), key="mode")
submit = st.button("Get Route")

# Route planning
if submit or st.session_state.get("show_results"):
    if submit:
        try:
            start_coords = geolocator.geocode(start_location)
            end_coords = geolocator.geocode(end_location)

            if not start_coords or not end_coords:
                st.error("Could not geocode one of the locations.")
            else:
                start_point = [start_coords.longitude, start_coords.latitude]
                end_point = [end_coords.longitude, end_coords.latitude]

                route = client.directions(
                    coordinates=[start_point, end_point],
                    profile=transport_modes[mode],
                    format="geojson"
                )

                distance_km = route['features'][0]['properties']['segments'][0]['distance'] / 1000
                duration_min = route['features'][0]['properties']['segments'][0]['duration'] / 60

                st.session_state["show_results"] = True
                st.session_state["distance_km"] = distance_km
                st.session_state["duration_min"] = duration_min
                st.session_state["start_coords"] = [start_coords.latitude, start_coords.longitude]
                st.session_state["end_coords"] = [end_coords.latitude, end_coords.longitude]
                st.session_state["route"] = route
                st.session_state["start_location_name"] = start_coords.address
                st.session_state["end_location_name"] = end_coords.address

        except Exception as e:
            st.error(f"Error: {e}")

# Results
if st.session_state.get("show_results"):
    st.success(f"**Distance:** {st.session_state['distance_km']:.2f} km")
    st.success(f"**Estimated Duration:** {st.session_state['duration_min']:.1f} minutes")

    # Route map
    route = st.session_state["route"]
    m = folium.Map(location=st.session_state["start_coords"], zoom_start=13)
    folium.Marker(st.session_state["start_coords"], tooltip="Start", icon=folium.Icon(color='green')).add_to(m)
    folium.Marker(st.session_state["end_coords"], tooltip="End", icon=folium.Icon(color='red')).add_to(m)
    folium.GeoJson(route, name="Route").add_to(m)
    st_folium(m, width=700, height=500)

    # Weather and AQI
    lat, lon = st.session_state["start_coords"]
    weather_url = f"https://api.openweathermap.org/data/2.5/weather?lat={lat}&lon={lon}&appid={OWM_API_KEY}&units=metric"
    air_url = f"http://api.openweathermap.org/data/2.5/air_pollution?lat={lat}&lon={lon}&appid={OWM_API_KEY}"

    try:
        weather = requests.get(weather_url).json()
        air = requests.get(air_url).json()

        temp = weather['main']['temp']
        condition = weather['weather'][0]['description'].capitalize()
        aqi = air['list'][0]['main']['aqi']

        st.info(f"**Current Temperature:** {temp}°C")
        st.info(f"**Weather Condition:** {condition}")
        st.info(f"**Air Quality Index (AQI):** {aqi} (1=Good, 5=Very Poor)")
    except:
        st.warning("Could not fetch weather or air quality data.")

    # 🔎 News Alerts (Protests, Traffic, Closures)
    st.subheader("🚨 Local Alerts: Traffic, Closures, Protests")

    start_loc = st.session_state.get("start_location_name", start_location)
    end_loc = st.session_state.get("end_location_name", end_location)
    keywords = ["traffic jam", "protest", "road blocked", "highway closed", "accident"]

    st.markdown("Here are some quick links to news related to your route:")
    for keyword in keywords:
        search_query = f"{keyword} near {start_loc} OR {end_loc}"
        search_url = f"https://www.google.com/search?q={quote(search_query)}"
        st.markdown(f"- [{keyword.title()} Alerts]({search_url})")