import streamlit as st
from streamlit_javascript import st_javascript
import requests
import os
import pandas as pd
import json

# Google API Key (Stored as a secret in Hugging Face Spaces)
API_KEY = os.getenv("GOOGLE_PLACES_API_KEY")

st.title("📍 AI-Powered Restaurant & Museum Finder")

# Run JavaScript to get geolocation
js_code = """
navigator.geolocation.getCurrentPosition(
    (position) => {
        const coords = JSON.stringify({ latitude: position.coords.latitude, longitude: position.coords.longitude });
        localStorage.setItem('user_coords', coords);
    },
    (error) => {
        localStorage.setItem('user_coords', JSON.stringify({ error: error.message }));
    }
);
localStorage.getItem('user_coords');
"""

location = st_javascript(js_code)

# Debugging: Display raw location response
st.write("📌 Raw Location Data:", location)

# Check if location was successfully fetched
if location:
    try:
        loc_data = json.loads(location)
        if "latitude" in loc_data:
            lat, lon = loc_data["latitude"], loc_data["longitude"]
            st.success(f"✅ Detected Location: {lat}, {lon}")
        else:
            st.warning(f"⚠ Error: {loc_data.get('error', 'Unknown issue')}")
            lat = st.number_input("Enter Latitude", value=40.7128)  # Default: NYC
            lon = st.number_input("Enter Longitude", value=-74.0060)  # Default: NYC
    except json.JSONDecodeError:
        st.error("❌ Error processing location data. Try refreshing the page.")
        lat = st.number_input("Enter Latitude", value=40.7128)
        lon = st.number_input("Enter Longitude", value=-74.0060)
else:
    st.warning("⚠ Unable to detect location. Please enable location services or enter manually.")
    lat = st.number_input("Enter Latitude", value=40.7128)  # Default: NYC
    lon = st.number_input("Enter Longitude", value=-74.0060)  # Default: NYC

# Fetch places from Google Places API
def fetch_places(lat, lon, place_type="restaurant"):
    radius = 3000  # 3km range
    url = f"https://maps.googleapis.com/maps/api/place/nearbysearch/json?location={lat},{lon}&radius={radius}&type={place_type}&key={API_KEY}"
    response = requests.get(url)
    return response.json().get("results", [])

# Choose category (restaurant or museum)
place_type = st.selectbox("Choose a Category", ["restaurant", "museum"])
places = fetch_places(lat, lon, place_type)

if places:
    df = pd.DataFrame([
        {"Name": p["name"], "Rating": p.get("rating", "N/A"), "Address": p.get("vicinity", "Unknown")}
        for p in places[:10]
    ])
    st.table(df)
else:
    st.warning(f"⚠ No {place_type}s found nearby. Try increasing the radius or entering a different location.")