app.py

import streamlit as st
import pandas as pd
import numpy as np
import plotly.express as px
import streamlit.components.v1 as components
import datetime as dt
# from data import collect_data, list_us_stocks, get_possible_tickers
# from visuals import create_treemap
# from firestore_helpers import User, Transaction, CREDENTIALS

# USER_ID = '6efcb234-fcb5-45fb-90e2-6136f46a86b4'

today = date.date.today().strftime('%m/%d/%Y')

tab1, tab2 = st.tabs(["Individual Performance", "Market Volatility"])
today = dt.date.today().strftime('%m/%d/%Y')

with tab1:
    with st.container():
        st.header(f'Market Volatility Portfolio {today} ' + '📈')
        st.subheader('created by Marc Muszik and John Black')

    # from data import collect_data, list_us_stocks
    # from visuals import create_treemap

    df = pd.DataFrame(
    np.random.randn(50, 5),
    columns=('col %d' % i for i in range(5)))

    st.dataframe(df, height=350, width=1000)

    def make_or_break(value=0):
        if value < 0:
            print("😭")
        elif value > 0:
            print("🤑")

    with st.container():
        st.subheader('See your transaction history 👇')
        col1, col2 , col3, col4= st.columns(4)

    with st.container():
            with col1:
                option = st.selectbox(
                'Stock Ticker',
                ('DG', 'AMZN', 'APPL'))

            with col2:
                number = st.number_input('Volume', max_value=100000, min_value=0, step=1)

            with col3:
                st.date_input(label="Date")

            with col4:
                st.text('')
                st.text('')
                st.button(label="save transaction")

            st.write('You selected:', option)
    with tab2:
        
        st.header("Market Volatility Chart")
        st.write("This is where the market volatility chart is")
    # def ord(n):
    #     # Used for date formatting
    #     # source: https://stackoverflow.com/a/16671271/17774866
    #     return str(n)+("th" if 4<=n%100<=20 else {1:"st",2:"nd",3:"rd"}.get(n%10, "th"))

    # today = dt.date.today().strftime('%A, %b. ') + ord(int(dt.date.today().strftime('%-d')))

    # stock_list = get_possible_tickers()
    # stock_list = list_us_stocks(n=500)
    # #Use the session state to persist data between page refreshes
    # if 'historical_data' not in st.session_state:
    #     st.session_state['historical_data'], st.session_state['company_data'] = collect_data(stock_list)

    # fig = create_treemap(
    #     st.session_state['historical_data'], 
    #     st.session_state['company_data'] 
    #     )

    # st.plotly_chart(fig, theme=None, use_container_width=True)

        st.caption('This plot charts the current volatility of individual shares from 500 publicly traded companies compared to their historical volatility. Data is sourced from Yahoo Finance.')

    make_or_break(value=-5)
    make_or_break(value=5)