app.py

import streamlit as st
import requests
from geopy.distance import great_circle
import folium
from streamlit_folium import st_folium
from datetime import datetime

def format_datetime(iso_string):
    # Convert ISO 8601 string to datetime object
    dt_object = datetime.fromisoformat(iso_string)
    # Format as DD-MM-YYYY and 24-hour time
    return dt_object.strftime("%d-%m-%Y %H:%M")


# Expanded list of Indian cities with their latitude and longitude
cities = {
    "Visakhapatnam": (17.6868, 83.2185),
    "Delhi": (28.6139, 77.2090),
    "Mumbai": (19.0760, 72.8777),
    "Bangalore": (12.9716, 77.5946),
    "Chennai": (13.0827, 80.2707),
    "Kolkata": (22.5726, 88.3639),
    "Hyderabad": (17.3850, 78.4867),
    "Pune": (18.5204, 73.8567),
    "Jaipur": (26.9124, 75.7873),
    "Ahmedabad": (23.0225, 72.5714),
    "Surat": (21.1702, 72.8311),
    "Lucknow": (26.8467, 80.9462),
    "Kanpur": (26.4499, 80.3319),
    "Nagpur": (21.1458, 79.0882),
    "Indore": (22.7196, 75.8577),
    "Bhopal": (23.2599, 77.4126),
    "Patna": (25.5941, 85.1376),
    "Vadodara": (22.3072, 73.1812),
    "Ludhiana": (30.9010, 75.8573),
    "Agra": (27.1767, 78.0081),
    "Nashik": (19.9975, 73.7898),
    "Faridabad": (28.4089, 77.3178),
    "Meerut": (28.9845, 77.7064),
    "Rajkot": (22.3039, 70.8022),
    "Varanasi": (25.3176, 82.9739),
    "Srinagar": (34.0837, 74.7973),
    "Amritsar": (31.6340, 74.8723),
    "Navi Mumbai": (19.0330, 73.0297),
    "Allahabad": (25.4358, 81.8463),
    "Ranchi": (23.3441, 85.3096),
    "Coimbatore": (11.0168, 76.9558),
    "Jabalpur": (23.1815, 79.9864),
    "Gwalior": (26.2183, 78.1828),
    "Vijayawada": (16.5062, 80.6480),
    "Jodhpur": (26.2389, 73.0243),
    "Madurai": (9.9252, 78.1198),
    "Raipur": (21.2514, 81.6296),
    "Kota": (25.2138, 75.8648),
    "Guwahati": (26.1445, 91.7362),
    "Chandigarh": (30.7333, 76.7794),
    "Solapur": (17.6599, 75.9064)
}

def get_weather(lat, lon):
    # Using Open-Meteo API
    url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true"
    response = requests.get(url)
    
    if response.status_code == 200:
        data = response.json()
        current_weather = data['current_weather']
        weather = {
            'temperature': current_weather['temperature'],
            'wind_speed': current_weather['windspeed'],
            'wind_direction': current_weather['winddirection'],
            'time': current_weather['time']
        }
        return weather
    else:
        return None

def find_nearest_city(lat, lon):
    min_distance = float('inf')
    nearest_city = None
    for city, (city_lat, city_lon) in cities.items():
        distance = great_circle((lat, lon), (city_lat, city_lon)).kilometers
        if distance < min_distance:
            min_distance = distance
            nearest_city = city
    return nearest_city

# Streamlit Layout



st.set_page_config(page_title="Indian Cities Weather", layout="wide")

st.title("🌤️ Indian Cities Weather App")

# Dropdown Menu
st.sidebar.subheader("Select a City")
selected_city = st.sidebar.selectbox("Choose a city:", list(cities.keys()))



# Show weather for selected city
if selected_city:
    lat, lon = cities[selected_city]
    weather = get_weather(lat, lon)
    if weather:
        st.markdown(f"### Weather in {selected_city}")
        st.markdown(f"- 🌡️ Temperature: **{weather['temperature']}°C**")
        st.markdown(f"- 💨 Wind Speed: **{weather['wind_speed']} km/h**")
        st.markdown(f"- 🧭 Wind Direction: **{weather['wind_direction']}°**")
        formatted_time = format_datetime(weather['time'])
        st.markdown(f"- 🕒 Reported at: **{formatted_time}**")


# Interactive Map with Clickable Markers
st.subheader("📍 Click on the Map or Select a City to Get Weather Information")

# Create a map with OpenStreetMap tiles for better compatibility
m = folium.Map(location=[22.9734, 78.6569], zoom_start=5, tiles='OpenStreetMap', 
               attr='Map data © OpenStreetMap contributors')

# Add markers with popups for each city
for city, (lat, lon) in cities.items():
    weather = get_weather(lat, lon)
    if weather:
        popup_text = (f"<b>{city}</b><br>"
                      f"🌡️ Temp: {weather['temperature']}°C<br>"
                      f"💨 Wind: {weather['wind_speed']} km/h<br>"
                      f"🧭 Dir: {weather['wind_direction']}°<br>"
                      f"🕒 Time: {weather['time']}")
        folium.Marker(
            [lat, lon],
            popup=folium.Popup(popup_text, max_width=250),
            tooltip=city,
            icon=folium.Icon(color='blue', icon='info-sign')
        ).add_to(m)

# Display map in Streamlit
clicked_location = st_folium(m, width=800, height=600)

# Get weather of nearest city when clicking on map
if clicked_location and clicked_location['last_clicked']:
    lat = clicked_location['last_clicked']['lat']
    lon = clicked_location['last_clicked']['lng']
    nearest_city = find_nearest_city(lat, lon)
    
    if nearest_city:
        st.markdown(f"### Nearest City: **{nearest_city}**")
        nearest_lat, nearest_lon = cities[nearest_city]
        weather = get_weather(nearest_lat, nearest_lon)
        if weather:
            st.markdown(f"- 🌡️ Temperature: **{weather['temperature']}°C**")
            st.markdown(f"- 💨 Wind Speed: **{weather['wind_speed']} km/h**")
            st.markdown(f"- 🧭 Wind Direction: **{weather['wind_direction']}°**")
            st.markdown(f"- 🕒 Reported at: **{weather['time']}**")


st.markdown("<style>body {background-color: #F0F8FF;}</style>", unsafe_allow_html=True)

# Footer
st.markdown(
    """

    <div class="footer">

        Developed by <b>SKB</b> | © 2025. All Rights Reserved

    </div>

    """,
    unsafe_allow_html=True,
)