import streamlit as st
import csv
import os
import random

def save_data(name, email, phone):
    with open('community.csv', mode='a') as csv_file:
        fieldnames = ['Name', 'Email', 'Phone']
        writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
        if os.stat('community.csv').st_size == 0:
            writer.writeheader()
        writer.writerow({'Name': name, 'Email': email, 'Phone': phone})
    with open(f'{name}.txt', mode='w') as file:
        file.write(f'Name: {name}\nEmail: {email}\nPhone: {phone}\n')

def reset_data():
    os.remove('community.csv')
    for file in os.listdir():
        if file.endswith('.txt'):
            os.remove(file)

def show_data():
    count = 0
    with open('community.csv', mode='r') as csv_file:
        csv_reader = csv.DictReader(csv_file)
        for row in csv_reader:
            count += 1
            if count == 3:
                st.write(f'{row["Name"]}: {row["Email"]} - {row["Phone"]}')
                count = 0

def app():
    st.title('Community Hub Form')

    name = st.text_input('Name', key='name_input')
    email = st.text_input('Email', key='email_input')
    phone = st.text_input('Phone', key='phone_input')

    if st.button('Submit', key='submit_button'):
        save_data(name, email, phone)
        st.success('Form submitted!')

    if st.button('Reset', key='reset_button'):
        reset_data()
        st.success('Data reset!')

    if st.button('Show data', key='show_data_button'):
        show_data()

    st.write('Emails/SMS')
    with open('community.csv', mode='r') as csv_file:
        csv_reader = csv.DictReader(csv_file)
        for row in csv_reader:
            name = row['Name']
            email = row['Email']
            phone = row['Phone']
            st.write(f'{name}: {email} - {phone}')
            if st.button('Reply', key=f'reply_{name}'):
                st.text_input(f'Reply to {name}', key=f'reply_input_{name}')
                if st.button(f'Vote up {name}', key=f'vote_up_{name}'):
                    st.success(f'{name} has been voted up!')
                if st.button(f'No thanks to {name}', key=f'vote_down_{name}'):
                    st.warning(f'{name} has been voted down!')
                    with open(f'{name}.txt', mode='w') as file:
                        file.write(f'Life points: 0\n')
            st.write('')

    st.write('Add tip')
    tip = st.text_input('Tip', key='tip_input')
    if st.button('Submit tip', key='submit_tip_button'):
        emoji = random.choice(['👍', '👌', '👏', '💡'])
        with open(f'{name}.txt', mode='a') as file:
            file.write(f'Tip' + ': {tip} {emoji}\nLife points: 10\n')
        st.success('Tip submitted!')


import streamlit as st
import pandas as pd
import plotly.graph_objects as go
import plotly.express as px

# Define the states and conditions of interest
states = ["Minnesota", "Florida", "California", "Washington", "Maine", "Texas"]
top_n = 10

# Define the list dictionary of top 10 health conditions descending by cost, with emojis
health_conditions = [
    {"condition": "💔 Heart disease", "emoji": "💗", "spending": 214.3},
    {"condition": "🤕 Trauma-related disorders", "emoji": "🚑", "spending": 198.6},
    {"condition": "🦀 Cancer", "emoji": "🎗️", "spending": 171.0},
    {"condition": "🧠 Mental disorders", "emoji": "🧘", "spending": 150.8},
    {"condition": "🦴 Osteoarthritis and joint disorders", "emoji": "🏥", "spending": 142.4},
    {"condition": "💉 Diabetes", "emoji": "🩸", "spending": 107.4},
    {"condition": "🫁 Chronic obstructive pulmonary disease and asthma", "emoji": "🫀", "spending": 91.0},
    {"condition": "🩺 Hypertension", "emoji": "💉", "spending": 83.9},
    {"condition": "🔬 Hyperlipidemia", "emoji": "🔬", "spending": 83.9},
    {"condition": "🦴 Back problems", "emoji": "🧍", "spending": 67.0}
]

# Total the spending values
total_spending = sum([hc["spending"] for hc in health_conditions])

# Create a DataFrame from the list dictionary
df_top_conditions = pd.DataFrame(health_conditions)

# Create the map graph using Plotly Express
locations = ["CA", "FL", "MN", "WA", "ME", "TX"]
fig_map = px.choropleth(locations=locations, locationmode="USA-states", color=[1, 2, 3, 4, 5, 6], scope="usa")
fig_map.update_layout(geo=dict(bgcolor= "rgba(0, 0, 0, 0)", lakecolor="rgb(255, 255, 255)"))

# Create the bar chart using Plotly Graph Objects
fig_bar = go.Figure(go.Bar(x=df_top_conditions["emoji"] + " " + df_top_conditions["condition"], y=df_top_conditions["spending"], marker_color="#1f77b4"))
fig_bar.update_layout(title=f"Top {top_n} Health Conditions in {', '.join(states)} by Spending (Total: ${total_spending}B)",
                      yaxis_title="Spending ($B)", plot_bgcolor='rgba(0,0,0,0)', xaxis=dict(showgrid=False), yaxis=dict(showgrid=False))

# Display the map and the bar chart in Streamlit
col1, col2 = st.columns([2, 1])
with col1:
    st.plotly_chart(fig_map, use_container_width=True)
with col2:
    st.plotly_chart(fig_bar, use_container_width=True)

if __name__ == '__main__':
    app()