# import streamlit as st
# from repo_directory import Lap_Chart
# from repo_directory import button
# import pandas as pd


# Lap_Chart.get_latest_ergast()


# # select year
# race_names_df = pd.read_csv("ergast/races.csv")
# available_years = race_names_df.year.unique().tolist()
# available_years.sort(reverse=True)
# YEAR_SELECTED = st.selectbox(
#     'Select year',
#     available_years)



# # select race
# available_races = race_names_df[race_names_df.year == YEAR_SELECTED].name.tolist()


# RACE_SELECTED = st.selectbox(
#     'Select Race',
#     available_races)

# SELECTED_RACEID = race_names_df[
#     (race_names_df.year == YEAR_SELECTED) & (race_names_df.name == RACE_SELECTED)
# ].raceId.values[0]


# Lap_Chart.plot(SELECTED_RACEID, )


import streamlit as st
from repo_directory.v2 import Lap_Chart
from repo_directory import button
from repo_directory.v2 import utils

import pandas as pd


YEAR_SELECTED = st.selectbox(
    'Select Year',
    utils.get_years())

RACE_SELECTED =  st.selectbox(
    'Select Race',
    utils.get_events(YEAR_SELECTED))


SESSION_SELECTED = st.selectbox('Select Session', ('R','SR'))

_ = Lap_Chart.plot(YEAR_SELECTED, RACE_SELECTED, SESSION_SELECTED)