Add monthly MVP backend calculation
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@@ -13,6 +13,7 @@ from .config import (
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get_storage_path,
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)
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from .historical_models import HistoricalServerDefinition
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from .monthly_mvp import build_monthly_mvp_rankings
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DEFAULT_HISTORICAL_SERVERS = (
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@@ -1449,6 +1450,125 @@ def list_monthly_leaderboard(
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}
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def list_monthly_mvp_ranking(
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*,
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limit: int = 10,
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server_id: str | None = None,
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db_path: Path | None = None,
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) -> dict[str, object]:
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"""Return the monthly MVP V1 ranking built from persisted historical totals."""
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resolved_path = initialize_historical_storage(db_path=db_path)
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aggregate_all_servers = _is_all_servers_selector(server_id)
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current_time = datetime.now(timezone.utc)
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current_month_start = _start_of_month(current_time)
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previous_month_start = _start_of_previous_month(current_month_start)
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monthly_window = _select_monthly_window(
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server_id=server_id,
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current_time=current_time,
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current_month_start=current_month_start,
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previous_month_start=previous_month_start,
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db_path=resolved_path,
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)
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window_start = monthly_window["window_start"]
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window_end = monthly_window["window_end"]
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where_clauses = [
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"historical_matches.ended_at IS NOT NULL",
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"historical_matches.ended_at >= ?",
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"historical_matches.ended_at < ?",
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]
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params: list[object] = [
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window_start.isoformat().replace("+00:00", "Z"),
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window_end.isoformat().replace("+00:00", "Z"),
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]
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if server_id and not aggregate_all_servers:
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normalized_server_id = server_id.strip()
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where_clauses.append(
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"(historical_servers.slug = ? OR CAST(historical_servers.server_number AS TEXT) = ?)"
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)
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params.extend([normalized_server_id, normalized_server_id])
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server_slug_expression = (
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f"'{ALL_SERVERS_SLUG}'"
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if aggregate_all_servers
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else "historical_servers.slug"
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)
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server_name_expression = (
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f"'{ALL_SERVERS_DISPLAY_NAME}'"
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if aggregate_all_servers
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else "historical_servers.display_name"
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)
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group_by_expression = (
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"historical_players.id"
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if aggregate_all_servers
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else "historical_servers.slug, historical_players.id"
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)
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with _connect(resolved_path) as connection:
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rows = connection.execute(
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f"""
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SELECT
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{server_slug_expression} AS server_slug,
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{server_name_expression} AS server_name,
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historical_players.stable_player_key,
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historical_players.display_name AS player_name,
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historical_players.steam_id,
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COUNT(DISTINCT historical_matches.id) AS matches_count,
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COALESCE(SUM(historical_player_match_stats.kills), 0) AS total_kills,
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COALESCE(SUM(historical_player_match_stats.deaths), 0) AS total_deaths,
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COALESCE(SUM(historical_player_match_stats.support), 0) AS total_support,
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COALESCE(SUM(historical_player_match_stats.teamkills), 0) AS total_teamkills,
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COALESCE(SUM(historical_player_match_stats.time_seconds), 0) AS total_time_seconds
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FROM historical_player_match_stats
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INNER JOIN historical_matches
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ON historical_matches.id = historical_player_match_stats.historical_match_id
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INNER JOIN historical_servers
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ON historical_servers.id = historical_matches.historical_server_id
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INNER JOIN historical_players
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ON historical_players.id = historical_player_match_stats.historical_player_id
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WHERE {" AND ".join(where_clauses)}
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GROUP BY {group_by_expression}
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""",
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params,
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).fetchall()
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ranking_result = build_monthly_mvp_rankings(
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[dict(row) for row in rows],
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limit=limit,
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)
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window_days = _calculate_window_days(window_start=window_start, window_end=window_end)
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for item in ranking_result["items"]:
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item["time_range"] = {
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"start": window_start.isoformat().replace("+00:00", "Z"),
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"end": window_end.isoformat().replace("+00:00", "Z"),
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"window_days": window_days,
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}
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return {
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"timeframe": "monthly",
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"metric": "mvp",
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"ranking_version": ranking_result["ranking_version"],
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"window_start": window_start.isoformat().replace("+00:00", "Z"),
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"window_end": window_end.isoformat().replace("+00:00", "Z"),
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"window_days": window_days,
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"window_kind": monthly_window["window_kind"],
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"window_label": monthly_window["window_label"],
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"uses_fallback": monthly_window["uses_fallback"],
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"selection_reason": monthly_window["selection_reason"],
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"current_month_start": current_month_start.isoformat().replace("+00:00", "Z"),
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"current_month_closed_matches": monthly_window["current_month_closed_matches"],
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"previous_month_closed_matches": monthly_window["previous_month_closed_matches"],
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"sufficient_sample": {
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"minimum_closed_matches": monthly_window["minimum_closed_matches"],
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"current_month_closed_matches": monthly_window["current_month_closed_matches"],
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"current_month_has_sufficient_sample": monthly_window["current_month_has_sufficient_sample"],
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"is_early_month": monthly_window["is_early_month"],
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},
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"eligibility": ranking_result["eligibility"],
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"eligible_players_count": ranking_result["eligible_players_count"],
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"items": ranking_result["items"],
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}
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def _connect(db_path: Path) -> sqlite3.Connection:
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connection = sqlite3.connect(db_path)
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connection.row_factory = sqlite3.Row
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