scripts/build_dataset.py

#!/usr/bin/env python3
from __future__ import annotations

import argparse
import hashlib
import json
import random
import time
from dataclasses import dataclass
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
from urllib.parse import urlencode

import pyarrow as pa
import pyarrow.parquet as pq
import requests


BASE_URL = "https://statsapi.mlb.com/api/v1"
SEASON = 2025
DEFAULT_START = "2025-03-01"
DEFAULT_END = "2025-11-30"

STAT_KEYS = [
    "gamesPlayed",
    "runs",
    "hits",
    "doubles",
    "triples",
    "homeRuns",
    "rbi",
    "baseOnBalls",
    "strikeOuts",
    "stolenBases",
    "caughtStealing",
    "avg",
    "obp",
    "slg",
    "ops",
    "era",
    "whip",
    "inningsPitched",
    "earnedRuns",
    "battersFaced",
    "groundOuts",
    "airOuts",
    "leftOnBase",
]


@dataclass
class ApiMetrics:
    network_requests: int = 0
    cache_hits: int = 0
    retries: int = 0
    rate_limited: int = 0


class RateLimiter:
    def __init__(self, max_rps: float) -> None:
        if max_rps <= 0:
            raise ValueError("--max-rps must be positive")
        self.min_interval = 1.0 / max_rps
        self.last_request_at = 0.0

    def wait(self) -> None:
        elapsed = time.monotonic() - self.last_request_at
        remaining = self.min_interval - elapsed
        if remaining > 0:
            time.sleep(remaining)
        self.last_request_at = time.monotonic()


class MlbApiClient:
    def __init__(
        self,
        cache_dir: Path,
        max_rps: float,
        force_refresh: bool = False,
        timeout: int = 30,
        max_retries: int = 5,
    ) -> None:
        self.cache_dir = cache_dir
        self.cache_dir.mkdir(parents=True, exist_ok=True)
        self.force_refresh = force_refresh
        self.timeout = timeout
        self.max_retries = max_retries
        self.rate_limiter = RateLimiter(max_rps=max_rps)
        self.metrics = ApiMetrics()
        self.session = requests.Session()
        self.session.headers.update(
            {
                "Accept": "application/json",
                "User-Agent": (
                    "mlb-chatml-2025-dataset/0.1 "
                    "(research dataset builder; contact: Clark Kitchen)"
                ),
            }
        )

    def get(self, path: str, params: dict[str, Any] | None = None) -> dict[str, Any]:
        params = params or {}
        url = f"{BASE_URL}{path}"
        cache_path = self._cache_path(url, params)
        if cache_path.exists() and not self.force_refresh:
            self.metrics.cache_hits += 1
            return json.loads(cache_path.read_text())

        query = urlencode(sorted(params.items()))
        full_url = f"{url}?{query}" if query else url
        last_error: Exception | None = None
        for attempt in range(self.max_retries + 1):
            if attempt:
                self.metrics.retries += 1
                sleep_seconds = min(60.0, (2**attempt) + random.uniform(0.0, 0.5))
                time.sleep(sleep_seconds)
            self.rate_limiter.wait()
            self.metrics.network_requests += 1
            try:
                response = self.session.get(full_url, timeout=self.timeout)
                if response.status_code == 429:
                    self.metrics.rate_limited += 1
                    retry_after = response.headers.get("Retry-After")
                    if retry_after:
                        time.sleep(min(float(retry_after), 120.0))
                    continue
                if response.status_code >= 500:
                    continue
                response.raise_for_status()
                data = response.json()
                cache_path.write_text(json.dumps(data, sort_keys=True))
                return data
            except (requests.RequestException, json.JSONDecodeError) as exc:
                last_error = exc
                continue
        raise RuntimeError(f"MLB API request failed after retries: {full_url}") from last_error

    def _cache_path(self, url: str, params: dict[str, Any]) -> Path:
        cache_key = json.dumps({"url": url, "params": sorted(params.items())}, sort_keys=True)
        digest = hashlib.sha256(cache_key.encode("utf-8")).hexdigest()
        return self.cache_dir / f"{digest}.json"


def compact_stat_dict(stats: dict[str, Any]) -> dict[str, Any]:
    return {key: stats[key] for key in STAT_KEYS if key in stats}


def load_schedule(client: MlbApiClient, start_date: str, end_date: str) -> list[dict[str, Any]]:
    data = client.get(
        "/schedule",
        {
            "sportId": 1,
            "season": SEASON,
            "gameType": "R",
            "startDate": start_date,
            "endDate": end_date,
        },
    )
    games_by_pk: dict[int, dict[str, Any]] = {}
    for date_block in data.get("dates", []):
        for game in date_block.get("games", []):
            status = game.get("status", {})
            has_scores = (
                game.get("teams", {}).get("away", {}).get("score") is not None
                and game.get("teams", {}).get("home", {}).get("score") is not None
            )
            if status.get("statusCode") == "F" and has_scores:
                game_pk = int(game["gamePk"])
                previous = games_by_pk.get(game_pk)
                if previous is None or game["gameDate"] > previous["gameDate"]:
                    games_by_pk[game_pk] = game
    return sorted(games_by_pk.values(), key=lambda game: (game["gameDate"], int(game["gamePk"])))


def load_season_team_stats(client: MlbApiClient) -> dict[int, dict[str, dict[str, Any]]]:
    data = client.get(
        "/teams/stats",
        {
            "season": SEASON,
            "sportIds": 1,
            "group": "hitting,pitching",
            "stats": "season",
        },
    )
    team_stats: dict[int, dict[str, dict[str, Any]]] = {}
    for stat_block in data.get("stats", []):
        group = stat_block.get("group", {}).get("displayName")
        if group not in {"hitting", "pitching"}:
            continue
        for split in stat_block.get("splits", []):
            team_id = int(split["team"]["id"])
            team_stats.setdefault(team_id, {})[group] = compact_stat_dict(split.get("stat", {}))
    return team_stats


def score_for_side(game: dict[str, Any], side: str) -> int | None:
    value = game.get("teams", {}).get(side, {}).get("score")
    return int(value) if value is not None else None


def result_for(team_runs: int | None, opponent_runs: int | None) -> str:
    if team_runs is None or opponent_runs is None:
        return "unknown"
    if team_runs > opponent_runs:
        return "win"
    if team_runs < opponent_runs:
        return "loss"
    return "tie"


def json_dumps(data: Any) -> str:
    return json.dumps(data, sort_keys=True, separators=(",", ":"))


def matchup_assistant_payload(
    game: dict[str, Any],
    side: str,
    opponent_side: str,
    team_stats: dict[int, dict[str, dict[str, Any]]],
    boxscore: dict[str, Any],
) -> dict[str, Any]:
    team = game["teams"][side]["team"]
    opponent = game["teams"][opponent_side]["team"]
    team_id = int(team["id"])
    opponent_id = int(opponent["id"])
    team_box = boxscore["teams"][side]
    opponent_box = boxscore["teams"][opponent_side]
    team_runs = score_for_side(game, side)
    opponent_runs = score_for_side(game, opponent_side)
    return {
        "season": SEASON,
        "game_pk": game["gamePk"],
        "game_date": game["gameDate"],
        "team": {"id": team_id, "name": team["name"], "side": side},
        "opponent": {"id": opponent_id, "name": opponent["name"], "side": opponent_side},
        "score": {
            "team_runs": team_runs,
            "opponent_runs": opponent_runs,
            "result": result_for(team_runs, opponent_runs),
        },
        "team_game": {
            "batting": compact_stat_dict(team_box.get("teamStats", {}).get("batting", {})),
            "pitching": compact_stat_dict(team_box.get("teamStats", {}).get("pitching", {})),
            "fielding": compact_stat_dict(team_box.get("teamStats", {}).get("fielding", {})),
        },
        "opponent_game": {
            "batting": compact_stat_dict(opponent_box.get("teamStats", {}).get("batting", {})),
            "pitching": compact_stat_dict(opponent_box.get("teamStats", {}).get("pitching", {})),
            "fielding": compact_stat_dict(opponent_box.get("teamStats", {}).get("fielding", {})),
        },
        "team_season": team_stats.get(team_id, {}),
        "opponent_season": team_stats.get(opponent_id, {}),
    }


def build_messages(payload: dict[str, Any]) -> list[dict[str, str]]:
    team = payload["team"]["name"]
    opponent = payload["opponent"]["name"]
    game_date = payload["game_date"][:10]
    return [
        {
            "role": "system",
            "content": (
                "You are an MLB matchup analyst. Use only the supplied 2025 MLB Stats API "
                "facts and answer in compact JSON."
            ),
        },
        {
            "role": "user",
            "content": (
                f"Build a pitching and offense matchup brief for {team} vs {opponent} "
                f"on {game_date}."
            ),
        },
        {"role": "assistant", "content": json_dumps(payload)},
    ]


def build_rows(
    games: list[dict[str, Any]],
    team_stats: dict[int, dict[str, dict[str, Any]]],
    client: MlbApiClient,
    limit_games: int | None,
) -> list[dict[str, Any]]:
    rows: list[dict[str, Any]] = []
    selected_games = games[:limit_games] if limit_games else games
    for index, game in enumerate(selected_games, start=1):
        if index == 1 or index % 100 == 0 or index == len(selected_games):
            print(f"fetching boxscores {index}/{len(selected_games)} gamePk={game['gamePk']}")
        boxscore = client.get(f"/game/{game['gamePk']}/boxscore")
        for side, opponent_side in (("away", "home"), ("home", "away")):
            payload = matchup_assistant_payload(game, side, opponent_side, team_stats, boxscore)
            team = payload["team"]
            opponent = payload["opponent"]
            team_runs = payload["score"]["team_runs"]
            opponent_runs = payload["score"]["opponent_runs"]
            row = {
                "row_id": f"mlb-2025-{game['gamePk']}-{side}",
                "season": SEASON,
                "game_pk": int(game["gamePk"]),
                "game_date": game["gameDate"][:10],
                "game_datetime_utc": game["gameDate"],
                "team_id": int(team["id"]),
                "team_name": team["name"],
                "team_side": side,
                "opponent_id": int(opponent["id"]),
                "opponent_name": opponent["name"],
                "opponent_side": opponent_side,
                "team_runs": team_runs,
                "opponent_runs": opponent_runs,
                "result": payload["score"]["result"],
                "messages": build_messages(payload),
                "assistant_payload_json": json_dumps(payload),
                "team_game_batting_json": json_dumps(payload["team_game"]["batting"]),
                "team_game_pitching_json": json_dumps(payload["team_game"]["pitching"]),
                "opponent_game_batting_json": json_dumps(payload["opponent_game"]["batting"]),
                "opponent_game_pitching_json": json_dumps(payload["opponent_game"]["pitching"]),
                "team_season_hitting_json": json_dumps(payload["team_season"].get("hitting", {})),
                "team_season_pitching_json": json_dumps(payload["team_season"].get("pitching", {})),
                "opponent_season_hitting_json": json_dumps(
                    payload["opponent_season"].get("hitting", {})
                ),
                "opponent_season_pitching_json": json_dumps(
                    payload["opponent_season"].get("pitching", {})
                ),
            }
            rows.append(row)
    return rows


def write_parquet(rows: list[dict[str, Any]], output_path: Path) -> None:
    output_path.parent.mkdir(parents=True, exist_ok=True)
    schema = pa.schema(
        [
            ("row_id", pa.string()),
            ("season", pa.int16()),
            ("game_pk", pa.int64()),
            ("game_date", pa.string()),
            ("game_datetime_utc", pa.string()),
            ("team_id", pa.int64()),
            ("team_name", pa.string()),
            ("team_side", pa.string()),
            ("opponent_id", pa.int64()),
            ("opponent_name", pa.string()),
            ("opponent_side", pa.string()),
            ("team_runs", pa.int16()),
            ("opponent_runs", pa.int16()),
            ("result", pa.string()),
            (
                "messages",
                pa.list_(pa.struct([("role", pa.string()), ("content", pa.string())])),
            ),
            ("assistant_payload_json", pa.string()),
            ("team_game_batting_json", pa.string()),
            ("team_game_pitching_json", pa.string()),
            ("opponent_game_batting_json", pa.string()),
            ("opponent_game_pitching_json", pa.string()),
            ("team_season_hitting_json", pa.string()),
            ("team_season_pitching_json", pa.string()),
            ("opponent_season_hitting_json", pa.string()),
            ("opponent_season_pitching_json", pa.string()),
        ]
    )
    table = pa.Table.from_pylist(rows, schema=schema)
    pq.write_table(table, output_path, compression="zstd")


def write_manifest(
    manifest_path: Path,
    output_path: Path,
    games: list[dict[str, Any]],
    rows: list[dict[str, Any]],
    client: MlbApiClient,
) -> None:
    manifest = {
        "created_at": datetime.now(timezone.utc).isoformat(),
        "season": SEASON,
        "source": "https://statsapi.mlb.com/api/v1",
        "regular_season_final_games": len(games),
        "rows": len(rows),
        "output_path": str(output_path),
        "api_metrics": client.metrics.__dict__,
    }
    manifest_path.parent.mkdir(parents=True, exist_ok=True)
    manifest_path.write_text(json.dumps(manifest, indent=2, sort_keys=True))


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--start-date", default=DEFAULT_START)
    parser.add_argument("--end-date", default=DEFAULT_END)
    parser.add_argument("--cache-dir", type=Path, default=Path(".cache/mlb_api"))
    parser.add_argument(
        "--output",
        type=Path,
        default=Path("data/processed/mlb_2025_chatml_matchups.parquet"),
    )
    parser.add_argument(
        "--manifest",
        type=Path,
        default=Path("data/processed/mlb_2025_chatml_matchups.manifest.json"),
    )
    parser.add_argument("--max-rps", type=float, default=4.0)
    parser.add_argument("--force-refresh", action="store_true")
    parser.add_argument("--limit-games", type=int, default=None)
    return parser.parse_args()


def main() -> None:
    args = parse_args()
    client = MlbApiClient(
        cache_dir=args.cache_dir,
        max_rps=args.max_rps,
        force_refresh=args.force_refresh,
    )
    games = load_schedule(client, args.start_date, args.end_date)
    print(f"loaded {len(games)} final regular-season games")
    team_stats = load_season_team_stats(client)
    if len(team_stats) != 30:
        raise RuntimeError(f"expected 30 teams with season stats, got {len(team_stats)}")
    rows = build_rows(games, team_stats, client, args.limit_games)
    if not rows:
        raise RuntimeError("no rows built")
    write_parquet(rows, args.output)
    write_manifest(args.manifest, args.output, games, rows, client)
    print(f"wrote {len(rows)} rows to {args.output}")
    print(f"api metrics: {client.metrics.__dict__}")


if __name__ == "__main__":
    main()