src/pages/5_Targets.py

import datetime
import numpy as np
import streamlit as st

from config import DEFAULT_ICON
from shared_page import common_page_config

from queries.footballguys.constants import YEAR
from queries.footballguys.refresh import request_stat
from streamlit_filter import filter_dataframe


@st.cache_data(ttl=60 * 60 * 24)
def load_data():
    stat_name = "targets"
    data = request_stat(stat_name)
    data_load_time_str = datetime.datetime.utcnow().strftime("%m/%d/%Y %I:%M %p")
    return data, data_load_time_str


def get_page():
    page_title = f"Player Targets - {YEAR}"
    st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide")
    common_page_config()
    st.title(page_title)
    if st.button("Refresh Data"):
        st.cache_data.clear()
    data, data_load_time_str = load_data()
    st.write(f"Data loaded as of: {data_load_time_str} UTC")

    selected_subtotals = st.selectbox("Show:", ["Player Totals", "Position Totals"], index=0)
    if selected_subtotals == "Player Totals":
        data = data[~data.name.str.contains(" Totals")]
    elif selected_subtotals == "Position Totals":
        data = data[data.name.str.contains(" Totals")]

    value_types = st.selectbox("Counts / Percent:", ["Counts", "Percent"], index=0)
    if value_types == "Percent":
        numerical_data = data.select_dtypes(include=np.number)
        numerical_cols = numerical_data.columns
        df_percent_values = numerical_data / data.groupby("TEAM").transform(sum).select_dtypes(include=np.number)
        data.loc[:, numerical_cols] = df_percent_values

    with st.container():
        filtered_data = filter_dataframe(data)
        st.dataframe(
            filtered_data,
            hide_index=True,
            height=35 * (len(filtered_data) + 1) + 12,
            use_container_width=False,
            column_config={},
        )


if __name__ == "__main__":
    get_page()