import streamlit as st
from repo_directory import Long_Run_Race_Pace
from repo_directory import button

import pandas as pd

YEAR_SELECTED = st.selectbox(
    'Select Year',
    (2023, 2022, 2021, 2020, 2019, 2018))

RACE_SELECTED =  st.selectbox(
    'Select Race',
    (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23))

SESSION = st.selectbox(
    'Select Session',
    ('FP1', 'FP2', 'FP3', 'Q', 'SQ', 'R'))

laps_df, f1session, drivers = Long_Run_Race_Pace.get_laps(YEAR_SELECTED, RACE_SELECTED, SESSION)



DRIVERS_SELECTED = st.multiselect(
    'Remove Outliers',
     drivers,
    )

laps_df = laps_df.loc[~laps_df.Driver.isin(DRIVERS_SELECTED)]



df = Long_Run_Race_Pace.process_data(laps_df)

Long_Run_Race_Pace.plot(df, f1session)

df.to_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv')
st.dataframe(pd.read_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv'))