fix: apply break-even threshold on player stat profile (2.5.2)

build_leaderboard, player_session_series, and session_breakdown_series
in the player detail and players routes were all called without
league.break_even_cents, so win/loss/even classification always used
the $1.00 default regardless of per-league settings.

charts.py

@@ -31,8 +31,8 @@ def color_for_name(name: str, names: list[str]) -> str:
     return PLAYER_PALETTE[index % len(PLAYER_PALETTE)]
 
 
-def net_tone(value_cents: int) -> str:
+def net_tone(value_cents: int, break_even_cents: int = 100) -> str:
-    bucket = net_result_bucket(value_cents)
+    bucket = net_result_bucket(value_cents, break_even_cents)
 
     if bucket == "win":
         return "#6fc093"  # --pos
@@ -96,7 +96,7 @@ def cumulative_profit_series(sessions: list[SessionSummary]) -> dict[str, object
 
 
 def player_session_series(
-    sessions: list[SessionSummary], player_name: str
+    sessions: list[SessionSummary], player_name: str, break_even_cents: int = 100
 ) -> dict[str, Any]:
     ordered_sessions = sorted(sessions, key=session_sort_key)
     labels: list[str] = []
@@ -130,12 +130,12 @@ def player_session_series(
         "labels": labels,
         "color": color_for_name(player_name, all_player_names),
         "net_values": net_values,
-        "net_colors": [net_tone(round(value * 100)) for value in net_values],
+        "net_colors": [net_tone(round(value * 100), break_even_cents) for value in net_values],
         "cumulative_values": cumulative_values,
     }
 
 
-def session_breakdown_series(session: SessionSummary) -> dict[str, Any]:
+def session_breakdown_series(session: SessionSummary, break_even_cents: int = 100) -> dict[str, Any]:
     ordered_entries = sorted(
         session.entries,
         key=lambda entry: (entry.net_cents, entry.player_name.casefold()),
@@ -145,5 +145,5 @@ def session_breakdown_series(session: SessionSummary) -> dict[str, Any]:
     return {
         "labels": [entry.player_name for entry in ordered_entries],
         "net_values": [round(entry.net_cents / 100, 2) for entry in ordered_entries],
-        "net_colors": [net_tone(entry.net_cents) for entry in ordered_entries],
+        "net_colors": [net_tone(entry.net_cents, break_even_cents) for entry in ordered_entries],
     }

config.py

@@ -9,7 +9,7 @@ DATA_PATH = BASE_DIR / "data" / "entries.csv"
 DEFAULT_DATABASE_URL = f"sqlite:///{BASE_DIR / 'data' / 'boker-dev.sqlite3'}"
 
 ELIGIBLE_MIN_SESSIONS = 3
-APP_VERSION = "2.5.1"
+APP_VERSION = "2.5.2"
 
 
 def load_local_env(env_path: Path) -> None:

routes/leagues.py

@@ -589,7 +589,7 @@ def player_detail(league_ref: str, player_id: str):
         abort(404)
 
     all_sessions = build_session_summaries(list_event_rows_for_league(league.id))
-    board = build_leaderboard(all_sessions)
+    board = build_leaderboard(all_sessions, league.break_even_cents)
     player_stats = next(
         (player for player in board if player.player_name == player_record.display_name),
         None,
@@ -619,7 +619,7 @@ def player_detail(league_ref: str, player_id: str):
         player_record=player_record,
         player=player_stats,
         player_rank=player_rank,
-        chart_data=player_session_series(all_sessions, player_record.display_name),
+        chart_data=player_session_series(all_sessions, player_record.display_name, league.break_even_cents),
         player_sessions=player_sessions,
         session_label=session_label,
         session_ids=session_ref_map(league.id),
@@ -676,7 +676,7 @@ def players(league_ref: str):
     from ledger_repositories import list_event_rows_for_league
 
     all_sessions = build_session_summaries(list_event_rows_for_league(league.id))
-    board = build_leaderboard(all_sessions)
+    board = build_leaderboard(all_sessions, league.break_even_cents)
     stats_by_name = {p.player_name: p for p in board}
 
     return render_template(
@@ -1083,7 +1083,7 @@ def session_public_view(league_ref: str, session_id: str):
         session=summary,
         session_number=session_number,
         raw_events=session_events(rows, summary.session_id),
-        chart_data=session_breakdown_series(summary),
+        chart_data=session_breakdown_series(summary, league.break_even_cents),
         session_label=session_label,
         prev_session_id=ref_to_db_id.get(prev_summary.session_id) if prev_summary else None,
         next_session_id=ref_to_db_id.get(next_summary.session_id) if next_summary else None,