Dump rosters to json in dev mode for visualization

src/pages/11_Scoreboard.py

@@ -1,3 +1,5 @@
+import json
+from dataclasses import asdict
 import pandas as pd
 import streamlit as st
 from postgrest.exceptions import APIError
@@ -14,6 +16,9 @@ from load_options import get_map_week_player_id_option, PlayerOption
 from stats import get_scores_map
 
 
+DEV_DUMP_ROSTER_JSON = False
+
+
 def get_users_df():
     columns = ["user_id", "name"]
     all_users = pd.DataFrame(get_all_users(st.session_state["db_client"], columns_included=columns), columns=columns)
@@ -91,6 +96,16 @@ def assemble_user_scores(
 
 def display_masked_rosters(week: int):
     rosters = load_masked_rosters()
+    if DEV_DUMP_ROSTER_JSON:
+        rosters_serial: dict[int, dict[str, dict]] = {}
+        for k_user, v in rosters.items():
+            rosters_serial[k_user] = {}
+            for k_pos_id, player in v.items():
+                player_dict = asdict(player)
+                player_dict.pop("gametime")
+                rosters_serial[k_user][k_pos_id] = player_dict
+        with open("rosters.json", "w", encoding="utf-8") as f:
+            json.dump(rosters_serial, f, ensure_ascii=False, indent=4)
     multipliers = get_roster_multipliers(rosters)
     users = get_users_df()
     player_scores = get_scores_map()