import firebase_admin
from firebase_admin import credentials
from firebase_admin import db


import pandas as pd

import streamlit as st

# Fetch the credential JSON file from your Firebase project settings
# and upload it to Google Colab, then provide the path here
cred = credentials.Certificate("cid1234-firebase-adminsdk-o0jz2-ddc0afe71d.json")

# Initialize the app with the credentials and your database URL
# firebase_admin.initialize_app(cred, {
#     'databaseURL': 'https://cid1234-default-rtdb.firebaseio.com/'
# })

# Reference to your Firebase database
ref = db.reference('/')

# Listen for changes in the database in real-time
def on_change(event):
    st.write('Data changed:', event.path, event.data)

ref.listen(on_change)


import requests





def get_coordinates(location):
    """
    Get latitude and longitude of a location using OpenStreetMap Nominatim API
    """
    # URL for OpenStreetMap Nominatim API
    url = f'https://nominatim.openstreetmap.org/search?format=json&q={location}'

    # Send request to the API
    response = requests.get(url)

    # Parse JSON response
    data = response.json()

    # Check if response is not empty
    if data:
        # Extract latitude and longitude from the first result
        lat = float(data[0]['lat'])
        lon = float(data[0]['lon'])
        return lat, lon
    else:
        st.write("No results found for the location.")
        return None





# Example usage
# location = input("Enter Location: ")
# latitude, longitude = get_coordinates(location)
# if latitude and longitude:
#     st.write(f"Latitude: {latitude}, Longitude: {longitude}")
# else:
#     st.write("Failed to retrieve coordinates for the location.")




crimes = pd.DataFrame(columns=['Name', 'Lat', 'Lon', 'Intensity'])


query = ""
while(query != 'N'):
  location = st.text_area("Enter Location: ")
  crime = st.text_area("Enter Crime: ")
  intensity = int(st.text_area("Enter Intensity: "))
  latitude, longitude = get_coordinates(location)
  data = [{'Name': crime, 'Lat': latitude, 'Lon': longitude, 'Intensity': intensity}]
  query = st.text_area("Enter Y to continue and N to stop: ")
  crimes = pd.concat([crimes, pd.DataFrame(data)], ignore_index=True)


st.write(crimes)