Move keeper data url to config

src/config.py

@@ -1,3 +1,5 @@
 LEAGUE_NAME = "LOFG"
 DEFAULT_ICON = "🏉"
 LEAGUE_NUMBER_TEAMS = 12
+
+KEEPER_DATA_URL = "../../tests/mocks/2024_keepers.csv"

src/pages/1_Keepers.py

@@ -3,14 +3,11 @@ import numpy as np
 import pandas as pd
 import streamlit as st
 
-from config import DEFAULT_ICON, LEAGUE_NAME, LEAGUE_NUMBER_TEAMS
+from config import DEFAULT_ICON, LEAGUE_NAME, LEAGUE_NUMBER_TEAMS, KEEPER_DATA_URL
 from shared_page import common_page_config
 from streamlit_filter import filter_dataframe
 
 
-KEEPER_DATA_URL = "../../tests/mocks/2024_keepers.csv"
-
-
 def load_player_ids() -> pd.DataFrame:
     df = pd.read_csv(r"https://raw.githubusercontent.com/dynastyprocess/data/master/files/db_playerids.csv")
     df["merge_id"] = df["yahoo_id"].combine_first(df["stats_id"])
@@ -68,7 +65,9 @@ def add_opinionated_keeper_value(df: pd.DataFrame):
 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]).replace("[", "").replace("]", "").replace("'", "")
+    data["position"] = (
+        data["eligible_positions"].apply(lambda x: x.split(" ")[0]).replace("[", "").replace("]", "").replace("'", "")
+    )
     data.columns = data.columns.str.lower()
     data.sort_values(["team_name", "keeper_cost"], inplace=True)
     teams_list = sorted(list(data["team_name"].unique()))