from repo_directory import button
import streamlit as st
from repo_directory import Race_Trace
import pandas as pd
#import kaggle
import os
import app

app.download_dataset()
# os.environ['KAGGLE_USERNAME'] = "tracinginsights"
# os.environ['KAGGLE_KEY'] = "150b8c43951e781f9e8c5eb4246ed324"

# kaggle.api.authenticate()
# kaggle.api.dataset_download_files('jtrotman/formula-1-race-events', path='formula-1-race-events', unzip=True)
    

Race_Trace.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]

Race_Trace.plot(SELECTED_RACEID, YEAR_SELECTED)