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import streamlit as st
from config import DEFAULT_ICON
from shared_page import common_page_config
from dbt_data_client import get_depth_charts, get_current_tables
from streamlit_filter import filter_dataframe
hide_columns: list[str] = [
"last_name",
"first_name",
"football_name",
"gsis_id",
"elias_id",
]
def get_page():
page_title = "Depth Charts"
st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide")
common_page_config()
st.title(page_title)
table_name = "depth_charts"
current_tables_list = get_current_tables()
if table_name not in current_tables_list:
st.write("Data not loaded.")
st.write("Check loaded data [here](./Load_Data)")
return
data = get_depth_charts()
week_selection = st.slider(
"Filter Week Range:",
min_value=data["week"].min(),
max_value=data["week"].max(),
value=(data["week"].min(), data["week"].max()),
step=1,
)
data = data[data["week"].between(*week_selection)]
data.drop(columns=hide_columns, inplace=True)
with st.container():
filtered_data = filter_dataframe(
data,
force_on=True,
force_on_columns=[
"club_code",
"position",
"depth_position",
"depth_team",
],
)
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()
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