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import os
import pandas as pd
import streamlit as st
from config import DEFAULT_ICON, LEAGUE_NAME, KEEPER_DATA_URL
from shared_page import common_page_config
from queries.supabase_db.client import get_selected_keepers, select_keeper, reset_keepers
from login_component import is_token_in_session
@st.cache_data(ttl=60 * 60 * 24)
def load_data():
data = pd.read_csv(os.path.join(os.path.dirname(__file__), KEEPER_DATA_URL), index_col=0)
# Hack to get position, replace with better position from yahoo api in future
data["position"] = (
data["eligible_positions"]
.apply(lambda x: x.split(" ")[0])
.str.replace("[", "")
.str.replace("]", "")
.str.replace("'", "")
)
data.columns = data.columns.str.lower()
data.sort_values(["team_name", "keeper_cost"], inplace=True)
teams_list = sorted(list(data["team_name"].unique()))
return data, teams_list
def get_page():
page_title = f"{LEAGUE_NAME} - My Keepers"
st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide")
common_page_config()
st.title(page_title)
if not is_token_in_session():
st.write(
"You must authorize the application to access your account in order to use this feature."
" Please click Login button above."
)
else:
st.warning("Work in progress. Ability to save selections is yet to be completed.")
data, _ = load_data()
data_user = data[(data["manager_guid"] == st.session_state.get("logged_in_guid")) & (data["eligible"])]
st.header("Selected Keepers")
selected_keeper_cost_map = get_selected_keepers(st.session_state.get("logged_in_guid"))
if selected_keeper_cost_map:
selected_data = data_user[data_user.player_id.isin(selected_keeper_cost_map.keys())]
selected_data["keeper_cost"] = selected_data.player_id.map(selected_keeper_cost_map)
st.dataframe(
selected_data,
hide_index=True,
height=35 * (len(selected_data) + 1) + 5,
column_order=[
"headshot_url",
"name",
"position",
"keeper_cost",
"years_eligible",
],
column_config={
"headshot_url": st.column_config.ImageColumn(label="", help="Player image"),
"name": st.column_config.TextColumn(label="Name", help="Player's name"),
"position": st.column_config.TextColumn(label="Position", help="Player's position"),
"keeper_cost": st.column_config.NumberColumn(
label="Keeper Cost", help="Draft Round Cost to keep player. See Rules for details."
),
"years_eligible": st.column_config.NumberColumn(
label="Years Eligible",
help="Number of further consecutive seasons player can be kept (subject to maximum of 2)",
),
},
)
st.header("Add Keeper")
selection = st.selectbox(
"Add Keeper",
data_user[~data_user.player_id.isin(selected_keeper_cost_map.keys())].to_dict(orient="records"),
format_func=lambda x: f"{x['name']} - {x['keeper_cost']}",
index=None,
)
if selection:
if st.button("Add Selection"):
select_keeper(selection["player_id"], selection["manager_guid"], selection["keeper_cost"])
st.rerun()
st.header("Options")
if st.checkbox("Show all my options"):
st.dataframe(
data_user,
hide_index=True,
height=35 * (len(data_user) + 1) + 5,
column_order=[
"headshot_url",
"name",
"team",
"position",
"keeper_cost",
"years_eligible",
],
column_config={
"headshot_url": st.column_config.ImageColumn(label="", help="Player image"),
"name": st.column_config.TextColumn(label="Name", help="Player's name"),
"team": st.column_config.TextColumn(label="NFL Team"),
"position": st.column_config.TextColumn(label="Position", help="Player's position"),
"keeper_cost": st.column_config.NumberColumn(
label="Keeper Cost", help="Draft Round Cost to keep player. See Rules for details."
),
"years_eligible": st.column_config.NumberColumn(
label="Years Eligible",
help="Number of further consecutive seasons player can be kept (subject to maximum of 2)",
),
},
)
st.header("Reset All Keepers")
if st.button("Reset all my selections"):
reset_keepers(st.session_state.get("logged_in_guid"))
st.rerun()
if __name__ == "__main__":
get_page()
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