"""PostgreSQL gameplay backend using asyncpg.

JSON columns use the JSONB type so PostgreSQL stores them in a binary,
decomposed format and automatically compresses large values via TOAST
(Oversized-Attribute Storage Technique).  No application-level
serialisation/deserialisation round-trip is needed for reads — asyncpg
decodes JSONB rows directly into Python dicts/lists.

Connection: pass a DSN via the `dsn` constructor argument, e.g.
  postgresql://user:password@host:5432/dbname

or set GAMEPLAY_DB_PG_DSN in the environment.
"""

import asyncio, json, logging, sqlite3, sys
from datetime import datetime, timezone
from pathlib import Path
from urllib.parse import urlparse, urlunparse

from .Template import GameplayBackendTemplate

logger = logging.getLogger(__name__)
if not logger.handlers:
  _handler = logging.StreamHandler(stream=sys.stdout)
  _handler.setFormatter(logging.Formatter(fmt="%(levelname)s %(module)s: %(message)s"))
  logger.addHandler(_handler)
  logger.propagate = False

# DDL --------------------------------------------------------------------- #

_DDL = """
CREATE TABLE IF NOT EXISTS games (
  game_id          TEXT        PRIMARY KEY,
  started_at       TIMESTAMPTZ NOT NULL,
  ended_at         TIMESTAMPTZ,
  width            INTEGER,
  height           INTEGER,
  source           TEXT,
  map_name         TEXT,
  ruleset_name     TEXT,
  ruleset_version  TEXT,
  your_snake_id    TEXT,
  your_snake_name  TEXT,
  your_snake_type  TEXT,
  your_snake_version TEXT,
  game_type        TEXT,
  winner_name      TEXT,
  winner_you       BOOLEAN     NOT NULL DEFAULT FALSE,
  final_turn       INTEGER     NOT NULL DEFAULT 0,
  status           TEXT        NOT NULL DEFAULT 'running'
);

CREATE TABLE IF NOT EXISTS turns (
  id               BIGSERIAL   PRIMARY KEY,
  game_id          TEXT        NOT NULL REFERENCES games(game_id) ON DELETE CASCADE,
  turn             INTEGER     NOT NULL,
  observed_at      TIMESTAMPTZ NOT NULL,
  my_move          TEXT,
  my_thinking      JSONB,
  board_state      JSONB       NOT NULL,
  snakes           JSONB       NOT NULL,
  you              JSONB       NOT NULL,
  food             JSONB       NOT NULL,
  hazards          JSONB       NOT NULL,
  UNIQUE (game_id, turn)
);

CREATE TABLE IF NOT EXISTS snake_turns (
  id               BIGSERIAL   PRIMARY KEY,
  game_id          TEXT        NOT NULL REFERENCES games(game_id) ON DELETE CASCADE,
  turn             INTEGER     NOT NULL,
  snake_id         TEXT        NOT NULL,
  snake_name       TEXT,
  health           INTEGER,
  length           INTEGER,
  head_x           INTEGER,
  head_y           INTEGER,
  body             JSONB       NOT NULL,
  is_you           BOOLEAN     NOT NULL DEFAULT FALSE,
  inferred_move    TEXT,
  latency          TEXT,
  UNIQUE (game_id, turn, snake_id)
);

CREATE INDEX IF NOT EXISTS idx_turns_game_turn       ON turns(game_id, turn);
CREATE INDEX IF NOT EXISTS idx_games_status          ON games(status);
CREATE INDEX IF NOT EXISTS idx_snake_turns_game_turn ON snake_turns(game_id, turn);
"""

# Schema evolution: add new columns to existing tables (idempotent).
_ALTER_DDL = """
ALTER TABLE games ADD COLUMN IF NOT EXISTS game_type         TEXT;
ALTER TABLE games ADD COLUMN IF NOT EXISTS your_snake_type   TEXT;
ALTER TABLE games ADD COLUMN IF NOT EXISTS your_snake_version TEXT;
ALTER TABLE games ADD COLUMN IF NOT EXISTS winner_name       TEXT;
ALTER TABLE turns ADD COLUMN IF NOT EXISTS my_thinking       JSONB;
ALTER TABLE snake_turns ADD COLUMN IF NOT EXISTS latency     TEXT;
"""

# Force TOAST compression on the large JSONB columns so that even
# moderately-sized payloads get compressed on-disk.
_TOAST_DDL = """
ALTER TABLE turns      ALTER COLUMN board_state SET STORAGE EXTENDED;
ALTER TABLE turns      ALTER COLUMN snakes      SET STORAGE EXTENDED;
ALTER TABLE turns      ALTER COLUMN you         SET STORAGE EXTENDED;
ALTER TABLE turns      ALTER COLUMN food        SET STORAGE EXTENDED;
ALTER TABLE turns      ALTER COLUMN hazards     SET STORAGE EXTENDED;
ALTER TABLE snake_turns ALTER COLUMN body       SET STORAGE EXTENDED;
"""

class PostgresqlGameplayBackend(GameplayBackendTemplate):
  """Async PostgreSQL backend.  A connection pool is created lazily on the
  first method call and reused for the lifetime of the object.

  Requires: pip install asyncpg
  """

  def __init__(self, dsn:str, min_size:int=1, max_size:int=5, sqlite_migration_path:str|None=None):
    self._dsn = dsn
    self._min_size = min_size
    self._max_size = max_size
    self._sqlite_migration_path = sqlite_migration_path
    self._pool = None  # asyncpg.Pool, typed at runtime

  # ── DSN normalisation ──────────────────────────────────────────────────────

  _DEFAULT_DB_NAME = "battlesnake"

  @classmethod
  def _ensure_db_name(cls, dsn:str) -> str:
    """Return *dsn* with a database name appended when none is present.

    A DSN has no database name when its path component is empty or ``/``.
    In that case ``battlesnake`` is appended so asyncpg gets a complete
    connection string without the caller having to remember to add one.
    """
    parsed = urlparse(dsn)
    db = parsed.path.lstrip("/")
    if db:
      return dsn

    new_path = f"/{cls._DEFAULT_DB_NAME}"
    return urlunparse(parsed._replace(path=new_path))

  # ── pool / schema ──────────────────────────────────────────────────────────

  async def initialize(self) -> None:
    """Eagerly create the connection pool on startup so schema init and
    SQLite migration run immediately rather than on the first game request."""
    await self._get_pool()

  async def _get_pool(self):
    if self._pool is None:
      try:
        import asyncpg  # noqa: PLC0415
      except ImportError as exc:
        raise ImportError(
          "asyncpg is required for the PostgreSQL gameplay backend. "
          "Install it with: pip install asyncpg"
        ) from exc

      target_dsn = self._ensure_db_name(self._dsn)
      await self._ensure_database_exists(asyncpg, target_dsn)

      async def _init_conn(conn) -> None:
        await conn.set_type_codec('jsonb', encoder=json.dumps, decoder=json.loads, schema='pg_catalog')
        await conn.set_type_codec('json',  encoder=json.dumps, decoder=json.loads, schema='pg_catalog')

      self._pool = await asyncpg.create_pool(
        dsn=target_dsn,
        min_size=self._min_size,
        max_size=self._max_size,
        init=_init_conn,
      )
      await self._initialize_schema()
      await self._maybe_migrate_from_sqlite()
    return self._pool

  async def _ensure_database_exists(self, asyncpg, target_dsn:str) -> None:
    """Connect to the postgres maintenance DB and CREATE the target database
    if it does not already exist.  Uses a plain connection (not a pool) so
    the CREATE DATABASE statement can run outside any transaction."""
    parsed = urlparse(target_dsn)
    db_name = parsed.path.lstrip("/")
    maintenance_dsn = urlunparse(parsed._replace(path="/postgres"))
    try:
      conn = await asyncpg.connect(dsn=maintenance_dsn)
    except Exception:
      # Fall back to connecting without specifying a database — some setups
      # (e.g. Cloud SQL, managed PG) disallow direct access to 'postgres'.
      maintenance_dsn = urlunparse(parsed._replace(path=""))
      conn = await asyncpg.connect(dsn=maintenance_dsn)
    try:
      exists = await conn.fetchval(
        "SELECT 1 FROM pg_database WHERE datname = $1", db_name
      )
      if not exists:
        await conn.execute(f'CREATE DATABASE "{db_name}"')
        logger.info(f"PostgreSQL: created database '{db_name}'")
    finally:
      await conn.close()

  async def _initialize_schema(self) -> None:
    assert self._pool is not None
    async with self._pool.acquire() as conn:
      await conn.execute(_DDL)
      await conn.execute(_ALTER_DDL)
      # TOAST storage hints are idempotent; ignore errors on repeated runs.
      try:
        await conn.execute(_TOAST_DDL)
      except Exception as exc:
        logger.debug(f"TOAST DDL skipped (likely already set): {exc}")

  # ── sqlite migration ───────────────────────────────────────────────────────

  async def _maybe_migrate_from_sqlite(self) -> None:
    if not self._sqlite_migration_path:
      return

    src = Path(self._sqlite_migration_path)
    if not src.exists():
      return

    logger.info(f"SQLite migration: found {src}, starting migration to PostgreSQL …")
    try:
      games, turns, snake_turns = await asyncio.to_thread(self._read_sqlite_data_sync, str(src))
      await self._insert_migrated_data(games, turns, snake_turns)

      done_path = src.with_suffix(".migrated")
      src.rename(done_path)

      logger.info(
        f"SQLite migration complete: {len(games)} games, {len(turns)} turns, "
        f"{len(snake_turns)} snake_turns migrated. "
        f"Source file renamed to {done_path.name}"
      )
    except Exception:
      logger.exception("SQLite migration failed — PostgreSQL data is untouched, original SQLite file kept")

  def _read_sqlite_data_sync(self, db_path:str) -> tuple[list[sqlite3.Row], list[sqlite3.Row], list[sqlite3.Row]]:
    conn = sqlite3.connect(db_path, timeout=30, isolation_level=None)
    conn.row_factory = sqlite3.Row

    try:
      games = conn.execute("""
        SELECT game_id, started_at, ended_at, width, height, source, map_name,
          ruleset_name, ruleset_version, your_snake_id, your_snake_name,
          your_snake_type, your_snake_version, game_type,
          winner_names_json, winner_you, final_turn, status
        FROM games
        ORDER BY started_at ASC
      """).fetchall()
      turns = conn.execute("""
        SELECT game_id, turn, observed_at, my_move, my_thinking_json,
          board_state_json, snakes_json, you_json, food_json, hazards_json
        FROM turns
        ORDER BY game_id ASC, turn ASC
      """).fetchall()
      snake_turns = conn.execute("""
        SELECT game_id, turn, snake_id, snake_name, health, length,
          head_x, head_y, body_json, is_you, inferred_move, latency
        FROM snake_turns
        ORDER BY game_id ASC, turn ASC, snake_id ASC
      """).fetchall()
    finally:
      conn.close()

    return games, turns, snake_turns

  def _parse_ts(self, value:str|None) -> datetime|None:
    """Parse an ISO-8601 TEXT timestamp from SQLite into a timezone-aware datetime."""
    ts = self._parse_utc_timestamp(value)
    return ts  # already UTC-aware from base class helper

  def _parse_json(self, value: str|None) -> object:
    if not value:
      return None
    try:
      return json.loads(value)
    except (json.JSONDecodeError, TypeError):
      return None

  async def _insert_migrated_data(self, games:list, turns:list, snake_turns:list) -> None:
    assert self._pool is not None
    async with self._pool.acquire() as conn:
      async with conn.transaction():
        # games ─────────────────────────────────────────────────────────────
        # winner_name is TEXT — no cast needed.
        await conn.executemany("""
          INSERT INTO games (
            game_id, started_at, ended_at, width, height, source, map_name,
            ruleset_name, ruleset_version, your_snake_id, your_snake_name,
            your_snake_type, your_snake_version, game_type,
            winner_name, winner_you, final_turn, status
          ) VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10,$11,$12,$13,$14,$15,$16,$17,$18)
          ON CONFLICT (game_id) DO NOTHING
          """,
          [
            (
              row["game_id"],
              self._parse_ts(row["started_at"]),
              self._parse_ts(row["ended_at"]),
              row["width"],
              row["height"],
              row["source"],
              row["map_name"],
              row["ruleset_name"],
              row["ruleset_version"],
              row["your_snake_id"],
              row["your_snake_name"],
              row["your_snake_type"],
              row["your_snake_version"],
              row["game_type"],
              (self._parse_json(row["winner_names_json"]) or [None])[0],
              bool(row["winner_you"]),
              row["final_turn"],
              row["status"],
            )
            for row in games
          ],
        )

        await conn.executemany("""
          INSERT INTO turns (
            game_id, turn, observed_at, my_move, my_thinking,
            board_state, snakes, you, food, hazards
          ) VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10)
          ON CONFLICT (game_id, turn) DO NOTHING
          """,
          [
            (
              row["game_id"],
              row["turn"],
              self._parse_ts(row["observed_at"]),
              row["my_move"],
              self._parse_json(row["my_thinking_json"]),
              self._parse_json(row["board_state_json"]),
              self._parse_json(row["snakes_json"]),
              self._parse_json(row["you_json"]),
              self._parse_json(row["food_json"]),
              self._parse_json(row["hazards_json"]),
            )
            for row in turns
          ],
        )

        # snake_turns
        await conn.executemany("""
          INSERT INTO snake_turns (
            game_id, turn, snake_id, snake_name, health, length,
            head_x, head_y, body, is_you, inferred_move, latency
          ) VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10,$11,$12)
          ON CONFLICT (game_id, turn, snake_id) DO NOTHING
          """,
          [
            (
              row["game_id"],
              row["turn"],
              row["snake_id"],
              row["snake_name"],
              row["health"],
              row["length"],
              row["head_x"],
              row["head_y"],
              self._parse_json(row["body_json"]),
              bool(row["is_you"]),
              row["inferred_move"],
              row["latency"],
            )
            for row in snake_turns
          ],
        )

  # ── helpers ────────────────────────────────────────────────────────────────

  def _utc_now_ts(self) -> datetime:
    return datetime.now(timezone.utc)

  # The pool init callback registers JSON/JSONB codecs so asyncpg automatically
  # encodes Python dicts/lists on write and decodes them on read.

  # ── write methods ──────────────────────────────────────────────────────────

  async def record_game_start(self, game_state:dict, snake_type:str|None=None, snake_version:str|None=None) -> None:
    game = game_state.get("game", {})
    board = game_state.get("board", {})
    you = self._extract_you(game_state)
    ruleset = game.get("ruleset", {})
    game_type = self._derive_game_type(board, ruleset)

    pool = await self._get_pool()
    async with pool.acquire() as conn:
      await conn.execute("""
        INSERT INTO games (
          game_id, started_at, width, height, source, map_name,
          ruleset_name, ruleset_version, your_snake_id, your_snake_name,
          your_snake_type, your_snake_version, game_type, status
        ) VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10,$11,$12,$13,'running')
        ON CONFLICT (game_id) DO UPDATE SET
          width             = EXCLUDED.width,
          height            = EXCLUDED.height,
          source            = EXCLUDED.source,
          map_name          = EXCLUDED.map_name,
          ruleset_name      = EXCLUDED.ruleset_name,
          ruleset_version   = EXCLUDED.ruleset_version,
          your_snake_id     = EXCLUDED.your_snake_id,
          your_snake_name   = EXCLUDED.your_snake_name,
          your_snake_type   = EXCLUDED.your_snake_type,
          your_snake_version = EXCLUDED.your_snake_version,
          game_type         = EXCLUDED.game_type,
          status            = 'running'
        """,
        game.get("id"),
        self._utc_now_ts(),
        board.get("width"),
        board.get("height"),
        game.get("source"),
        game.get("map"),
        ruleset.get("name"),
        ruleset.get("version"),
        you.get("id"),
        you.get("name"),
        snake_type,
        snake_version,
        game_type,
      )

  async def record_turn(self, game_state:dict, my_move:str|None, my_thinking:dict|None=None) -> None:
    game = game_state.get("game", {})
    board = game_state.get("board", {})
    snakes = self._extract_snakes(game_state)
    you = self._extract_you(game_state)
    game_id = game.get("id")
    turn = int(game_state.get("turn", 0))

    pool = await self._get_pool()
    async with pool.acquire() as conn:
      async with conn.transaction():
        await conn.execute("""
          INSERT INTO turns (
            game_id, turn, observed_at, my_move, my_thinking,
            board_state, snakes, you, food, hazards
          ) VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10)
          ON CONFLICT (game_id, turn) DO UPDATE SET
            observed_at  = EXCLUDED.observed_at,
            my_move      = EXCLUDED.my_move,
            my_thinking  = EXCLUDED.my_thinking,
            board_state  = EXCLUDED.board_state,
            snakes       = EXCLUDED.snakes,
            you          = EXCLUDED.you,
            food         = EXCLUDED.food,
            hazards      = EXCLUDED.hazards
          """,
          game_id,
          turn,
          self._utc_now_ts(),
          my_move,
          my_thinking,
          board,
          snakes,
          you,
          board.get("food", []),
          board.get("hazards", []),
        )

        previous_positions:dict[str, tuple[int, int]] = {}
        if turn > 0:
          prev_rows = await conn.fetch("""
            SELECT snake_id, head_x, head_y
            FROM snake_turns
            WHERE game_id = $1 AND turn = $2
            """,
            game_id, turn - 1,
          )
          previous_positions = {
            row["snake_id"]: (int(row["head_x"]), int(row["head_y"]))
            for row in prev_rows
            if row["head_x"] is not None and row["head_y"] is not None
          }

        you_id = you.get("id")
        for params in self._build_snake_turn_params(snakes, you_id, game_id, turn, previous_positions):
          (p_game_id, p_turn, p_snake_id, p_name, p_health, p_length,
           p_head_x, p_head_y, p_body, p_is_you, p_inferred, p_latency) = params
          await conn.execute("""
            INSERT INTO snake_turns (
              game_id, turn, snake_id, snake_name, health, length,
              head_x, head_y, body, is_you, inferred_move, latency
            ) VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10,$11,$12)
            ON CONFLICT (game_id, turn, snake_id) DO UPDATE SET
              snake_name    = EXCLUDED.snake_name,
              health        = EXCLUDED.health,
              length        = EXCLUDED.length,
              head_x        = EXCLUDED.head_x,
              head_y        = EXCLUDED.head_y,
              body          = EXCLUDED.body,
              is_you        = EXCLUDED.is_you,
              inferred_move = EXCLUDED.inferred_move,
              latency       = EXCLUDED.latency
            """,
            p_game_id, p_turn, p_snake_id, p_name, p_health, p_length,
            p_head_x, p_head_y, p_body, p_is_you, p_inferred, p_latency,
          )

        await conn.execute("""
          UPDATE games
          SET final_turn = GREATEST(final_turn, $1)
          WHERE game_id = $2
          """,
          turn, game_id,
        )

  async def record_game_end(self, game_state:dict) -> None:
    game_id, winner_name, winner_you, turn = self._extract_game_end_params(game_state)

    pool = await self._get_pool()
    async with pool.acquire() as conn:
      await conn.execute("""
        UPDATE games
        SET ended_at    = $1,
            winner_name = $2,
            winner_you  = $3,
            final_turn  = GREATEST(final_turn, $4),
            status      = 'finished'
        WHERE game_id = $5
        """,
        self._utc_now_ts(),
        winner_name,
        winner_you,
        turn,
        game_id,
      )

  # ── stale game finalization ────────────────────────────────────────────────

  async def finalize_stale_running_games(self, stale_after_seconds:int=600) -> int:
    threshold = max(60, int(stale_after_seconds))
    now_utc = datetime.now(timezone.utc)
    finalized = 0

    pool = await self._get_pool()
    async with pool.acquire() as conn:
      rows = await conn.fetch("""
        SELECT game_id, started_at, final_turn, your_snake_id
        FROM games
        WHERE status = 'running'
        ORDER BY started_at ASC
      """)

      for row in rows:
        started_at = row["started_at"]
        if started_at is None:
          continue
        if started_at.tzinfo is None:
          started_at = started_at.replace(tzinfo=timezone.utc)
        if (now_utc - started_at).total_seconds() < threshold:
          continue

        game_id = row["game_id"]
        your_snake_id = row["your_snake_id"]
        final_turn = int(row["final_turn"] or 0)

        snake_rows = await conn.fetch("""
          SELECT snake_id, snake_name
          FROM snake_turns
          WHERE game_id = $1 AND turn = $2
          ORDER BY is_you DESC, snake_name ASC
          """,
          game_id, final_turn,
        )

        if len(snake_rows) == 0:
          latest_row = await conn.fetchrow(
            "SELECT MAX(turn) AS latest_turn FROM snake_turns WHERE game_id = $1",
            game_id,
          )

          if latest_row is not None and latest_row["latest_turn"] is not None:
            final_turn = int(latest_row["latest_turn"])
            snake_rows = await conn.fetch("""
              SELECT snake_id, snake_name
              FROM snake_turns
              WHERE game_id = $1 AND turn = $2
              ORDER BY is_you DESC, snake_name ASC
              """,
              game_id, final_turn,
            )

        winner_you, survivor_name = self._calculate_survivor(snake_rows, your_snake_id)

        tag = await conn.execute("""
          UPDATE games
          SET ended_at     = $1,
              winner_name  = $2,
              winner_you   = $3,
              final_turn   = GREATEST(final_turn, $4),
              status       = 'finished'
          WHERE game_id = $5 AND status = 'running'
          """,
          self._utc_now_ts(),
          survivor_name,
          winner_you,
          final_turn,
          game_id,
        )
        if tag and tag.endswith("1"):
          finalized += 1

    return finalized

  # ── read methods ───────────────────────────────────────────────────────────

  async def get_summary(self, recent_limit:int=15) -> dict:
    pool = await self._get_pool()
    async with pool.acquire() as conn:
      totals = await conn.fetchrow("""
        SELECT
          COUNT(*)                                                       AS total_games,
          COUNT(*) FILTER (WHERE status = 'running')                    AS running_games,
          COUNT(*) FILTER (WHERE status = 'finished')                   AS finished_games,
          COUNT(*) FILTER (WHERE status = 'finished' AND winner_you)    AS wins,
          COUNT(*) FILTER (WHERE status = 'finished' AND NOT winner_you) AS losses,
          AVG(final_turn) FILTER (WHERE status = 'finished')            AS avg_turns
        FROM games
      """)

      by_type = await conn.fetch("""
        SELECT
          COALESCE(game_type, ruleset_name, 'unknown') AS type_label,
          COUNT(*)                                              AS total,
          COUNT(*) FILTER (WHERE winner_you)                   AS wins,
          COUNT(*) FILTER (WHERE NOT winner_you)               AS losses
        FROM games
        WHERE status = 'finished'
        GROUP BY type_label
        ORDER BY total DESC
      """)

      recent = await conn.fetch("""
        SELECT game_id, started_at, ended_at, map_name, ruleset_name, game_type,
          your_snake_name, your_snake_type, your_snake_version, winner_you, final_turn, status
        FROM games
        ORDER BY started_at DESC
        LIMIT $1
        """,
        max(1, int(recent_limit)),
      )

    return self._build_summary_output(totals, by_type, recent)

  async def list_games(self, limit:int=50) -> list[dict]:
    pool = await self._get_pool()
    async with pool.acquire() as conn:
      rows = await conn.fetch("""
        SELECT game_id, started_at, ended_at, map_name, source, ruleset_name, game_type,
          your_snake_name, your_snake_type, your_snake_version,
          winner_you, winner_name, final_turn, status
        FROM games
        ORDER BY started_at DESC
        LIMIT $1
        """,
        max(1, int(limit)),
      )

    return self._build_game_list_output(rows)

  async def get_game_replay(self, game_id:str) -> dict|None:
    pool = await self._get_pool()
    async with pool.acquire() as conn:
      game_row = await conn.fetchrow("""
        SELECT game_id, started_at, ended_at, width, height, source, map_name,
          ruleset_name, ruleset_version, game_type, your_snake_id, your_snake_name,
          your_snake_type, your_snake_version,
          winner_name, winner_you, final_turn, status
        FROM games
        WHERE game_id = $1
        """,
        game_id,
      )

      if game_row is None:
        return None

      turn_rows = await conn.fetch("""
        SELECT turn, observed_at, my_move,
          my_thinking      AS my_thinking_json,
          board_state      AS board_state_json,
          food             AS food_json,
          hazards          AS hazards_json,
          you              AS you_json
        FROM turns
        WHERE game_id = $1
        ORDER BY turn ASC
        """,
        game_id,
      )

      snake_rows = await conn.fetch("""
        SELECT turn, snake_id, snake_name, health, length, head_x, head_y,
          body AS body_json, is_you, inferred_move, latency
        FROM snake_turns
        WHERE game_id = $1
        ORDER BY turn ASC, is_you DESC, snake_name ASC
        """,
        game_id,
      )

    return self._build_game_replay_output(game_row, turn_rows, snake_rows, decode_json=lambda x: x)

  # ── lifecycle ──────────────────────────────────────────────────────────────

  async def close(self) -> None:
    if self._pool is not None:
      await self._pool.close()
      self._pool = None