from tabs.plot_by_columns import plot_by_columns
from tabs.volume_profile import volume_profile
from datetime import time
import streamlit as st


st.markdown('# Plotting Dashboard')

st.sidebar.title("Meta Parameters")
st.sidebar.caption("Choose Meta Parameters here.")

ticker_name = st.sidebar.text_input('Enter the ticker name')
given_date = st.sidebar.text_input('Enter the date')
strategy_timeframe = st.sidebar.text_input('Enter the strategy timeframe')
vp_timeframe = st.sidebar.text_input('Enter the volume profile timeframe')

by_columns_tab, strategy_tab, volume_profile_tab = st.tabs(["plot columns by each other", "plot strategy",
                                                            "volume profile"])

with by_columns_tab:
    if ticker_name != '' and given_date != '' and strategy_timeframe != '':
        plot_by_columns(ticker=ticker_name, date=given_date, timeframe=strategy_timeframe, session=st)
    else:
        st.markdown('### No Dataframe to Show Yet!')

with volume_profile_tab:
    st.markdown('#### Interval of Volume Profile')
    vp_interval = st.slider("Choose the interval of volume Profile", value=(time(12, 45), time(16, 0)))

    if ticker_name != '' and given_date != '' and strategy_timeframe != '' and vp_timeframe != '':
        volume_profile(ticker=ticker_name, date=given_date, strategy_timeframe=strategy_timeframe,
                       volume_profile_timeframe=vp_timeframe, interval=vp_interval, session=st)

    else:
        st.markdown('### No Dataframe to Show Yet!')