256 lines
8.7 KiB
Python
256 lines
8.7 KiB
Python
"""Correlate RCON competitive windows with trusted persisted scoreboard matches."""
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from __future__ import annotations
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import sqlite3
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from datetime import datetime, timezone
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from pathlib import Path
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from .config import get_storage_path, use_postgres_rcon_storage
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from .normalizers import normalize_map_name
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from .scoreboard_origins import resolve_trusted_scoreboard_match_url
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from .sqlite_utils import connect_sqlite_readonly
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MIN_CONFIDENCE_SCORE = 5
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MAX_CANDIDATES = 200
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def resolve_rcon_scoreboard_match_url(
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*,
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server_slug: object,
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map_name: object,
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started_at: object,
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ended_at: object,
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duration_seconds: object = None,
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player_count: object = None,
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peak_players: object = None,
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allied_score: object = None,
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axis_score: object = None,
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db_path: Path | None = None,
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) -> str | None:
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"""Return a trusted scoreboard URL for an RCON window only on strong evidence."""
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normalized_server_slug = str(server_slug or "").strip()
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normalized_map = normalize_map_name(map_name)
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rcon_start = _parse_timestamp(started_at)
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rcon_end = _parse_timestamp(ended_at)
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if not normalized_server_slug or not normalized_map or not rcon_start or not rcon_end:
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return None
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if rcon_end < rcon_start:
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rcon_start, rcon_end = rcon_end, rcon_start
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candidates = _list_persisted_scoreboard_candidates(
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server_slug=normalized_server_slug,
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db_path=db_path or get_storage_path(),
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)
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scored_candidates = [
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scored
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for candidate in candidates
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if (scored := _score_candidate(
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candidate,
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normalized_map=normalized_map,
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rcon_start=rcon_start,
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rcon_end=rcon_end,
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duration_seconds=_coerce_int(duration_seconds),
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player_count=_coerce_int(player_count),
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peak_players=_coerce_int(peak_players),
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allied_score=_coerce_int(allied_score),
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axis_score=_coerce_int(axis_score),
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))
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is not None
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]
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if not scored_candidates:
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return None
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scored_candidates.sort(key=lambda item: item["score"], reverse=True)
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best = scored_candidates[0]
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if int(best["score"]) < MIN_CONFIDENCE_SCORE:
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return None
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if len(scored_candidates) > 1 and int(scored_candidates[1]["score"]) >= int(best["score"]):
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return None
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return str(best["match_url"])
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def _list_persisted_scoreboard_candidates(
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*,
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server_slug: str,
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db_path: Path,
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) -> list[dict[str, object]]:
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if use_postgres_rcon_storage():
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from .postgres_rcon_storage import list_scoreboard_candidates
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postgres_candidates = list_scoreboard_candidates(
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server_slug=server_slug,
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limit=MAX_CANDIDATES,
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)
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if postgres_candidates:
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return postgres_candidates
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try:
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with connect_sqlite_readonly(db_path) as connection:
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rows = connection.execute(
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"""
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SELECT
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historical_matches.external_match_id,
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historical_matches.started_at,
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historical_matches.ended_at,
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historical_matches.map_name,
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historical_matches.map_pretty_name,
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historical_matches.allied_score,
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historical_matches.axis_score,
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historical_matches.raw_payload_ref,
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historical_servers.slug AS server_slug,
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COUNT(historical_player_match_stats.id) AS player_count
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FROM historical_matches
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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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LEFT JOIN historical_player_match_stats
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ON historical_player_match_stats.historical_match_id = historical_matches.id
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WHERE historical_servers.slug = ?
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AND historical_matches.raw_payload_ref IS NOT NULL
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GROUP BY historical_matches.id
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ORDER BY COALESCE(historical_matches.ended_at, historical_matches.started_at) DESC
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LIMIT ?
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""",
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(server_slug, MAX_CANDIDATES),
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).fetchall()
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except sqlite3.Error:
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return []
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items: list[dict[str, object]] = []
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for row in rows:
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match_url = resolve_trusted_scoreboard_match_url(
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row["raw_payload_ref"],
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row["server_slug"],
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)
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if not match_url:
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continue
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items.append(
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{
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"external_match_id": row["external_match_id"],
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"started_at": row["started_at"],
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"ended_at": row["ended_at"],
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"map_name": row["map_name"],
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"map_pretty_name": row["map_pretty_name"],
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"allied_score": row["allied_score"],
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"axis_score": row["axis_score"],
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"player_count": row["player_count"],
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"match_url": match_url,
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}
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)
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if items and use_postgres_rcon_storage():
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from .postgres_rcon_storage import upsert_scoreboard_candidates
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upsert_scoreboard_candidates(server_slug=server_slug, candidates=items)
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return items
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def _score_candidate(
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candidate: dict[str, object],
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*,
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normalized_map: str,
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rcon_start: datetime,
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rcon_end: datetime,
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duration_seconds: int | None,
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player_count: int | None,
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peak_players: int | None,
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allied_score: int | None,
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axis_score: int | None,
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) -> dict[str, object] | None:
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candidate_map = normalize_map_name(
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candidate.get("map_pretty_name") or candidate.get("map_name")
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)
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if candidate_map != normalized_map:
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return None
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candidate_start = _parse_timestamp(candidate.get("started_at"))
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candidate_end = _parse_timestamp(candidate.get("ended_at"))
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if not candidate_start or not candidate_end:
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return None
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if candidate_end < candidate_start:
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candidate_start, candidate_end = candidate_end, candidate_start
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score = 0
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overlap_seconds = _overlap_seconds(rcon_start, rcon_end, candidate_start, candidate_end)
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rcon_midpoint = rcon_start + (rcon_end - rcon_start) / 2
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if overlap_seconds > 0:
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score += 3
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if candidate_start <= rcon_midpoint <= candidate_end:
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score += 2
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closest_edge_distance = min(
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abs((rcon_start - candidate_start).total_seconds()),
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abs((rcon_start - candidate_end).total_seconds()),
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abs((rcon_end - candidate_start).total_seconds()),
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abs((rcon_end - candidate_end).total_seconds()),
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)
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if closest_edge_distance <= 1800:
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score += 2
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elif closest_edge_distance <= 3600:
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score += 1
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candidate_duration = int((candidate_end - candidate_start).total_seconds())
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if duration_seconds and candidate_duration > 0:
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if abs(candidate_duration - duration_seconds) <= 1800:
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score += 1
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elif overlap_seconds > 0 and duration_seconds <= candidate_duration:
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score += 1
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candidate_allied_score = _coerce_int(candidate.get("allied_score"))
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candidate_axis_score = _coerce_int(candidate.get("axis_score"))
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if (
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allied_score is not None
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and axis_score is not None
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and candidate_allied_score is not None
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and candidate_axis_score is not None
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):
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if candidate_allied_score == allied_score and candidate_axis_score == axis_score:
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score += 2
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elif sorted((candidate_allied_score, candidate_axis_score)) == sorted((allied_score, axis_score)):
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score += 1
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candidate_players = _coerce_int(candidate.get("player_count"))
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reference_players = peak_players or player_count
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if candidate_players and reference_players:
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if abs(candidate_players - reference_players) <= 20:
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score += 1
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elif candidate_players >= int(reference_players * 0.75):
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score += 1
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if score <= 0:
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return None
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return {
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"score": score,
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"match_url": candidate["match_url"],
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}
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def _overlap_seconds(
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first_start: datetime,
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first_end: datetime,
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second_start: datetime,
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second_end: datetime,
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) -> int:
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return max(0, int((min(first_end, second_end) - max(first_start, second_start)).total_seconds()))
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def _parse_timestamp(value: object) -> datetime | None:
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if not isinstance(value, str) or not value.strip():
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return None
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try:
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parsed = datetime.fromisoformat(value.strip().replace("Z", "+00:00"))
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except ValueError:
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return None
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if parsed.tzinfo is None:
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parsed = parsed.replace(tzinfo=timezone.utc)
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return parsed.astimezone(timezone.utc)
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def _coerce_int(value: object) -> int | None:
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if value is None:
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return None
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try:
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return int(round(float(value)))
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except (TypeError, ValueError):
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return None
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