feat: 数据管线 P2 优化 — 血缘写入 + 质量监控 + 缓存清理 + 重试 worker

P2-1: DataLineage 血缘写入(bzzoiro/understat Bronze→Silver 全链路)
P2-2: DataQualityCheck 质量检查写入(行计数异常检测)
P2-3: RateLimitedClient 集成到 bzzoiro 采集
P2-4: injuries 缓存过期清理(启动时扫描删除 >1h 文件)
P2-5: IngestFailure 重试 worker(FastAPI startup 注册)

新增文件:
  - src/data/retry_worker.py (死信表重试 sweep)

src/api/app.py

@@ -16,6 +16,9 @@ async def lifespan(app: FastAPI) -> AsyncIterator[None]:
     from src.db.base import init_db
     from src.core.http_client import close_client
     await init_db()  # 验证连接,不建表
+    # P2-5: 启动时执行一次 ingest failure 重试清理
+    from src.data.retry_worker import run_retry_worker
+    await run_retry_worker()
     yield
     await close_client()
 

src/data/bzzoiro.py

@@ -25,14 +25,25 @@ from src.core.config import settings
 from src.core.http_client import get_client
 from src.data.config import BZZOIRO_LEAGUE_IDS, LEAGUE_COUNTRIES, LEAGUE_NAMES, REQUEST_INTERVAL
 from src.data.normalize import normalize_bzzoiro
-from src.data.rate_limiter import TokenBucket
+from src.data.rate_limiter import RateLimitedClient, TokenBucket
 from src.data.sources import register
-from src.db.models import IngestFailure, League, Match, MatchStats, RawEvent, Team
+from src.db.models import DataLineage, DataQualityCheck, IngestFailure, League, Match, MatchStats, RawEvent, Team
 
 logger = logging.getLogger(__name__)
 
 # 令牌桶限流器:替代固定 sleep,rate 根据 REQUEST_INTERVAL 计算
 _bzzoiro_limiter = TokenBucket(rate=1.0 / REQUEST_INTERVAL, capacity=3)
+# P2-3: RateLimitedClient 包装,在 HTTP 调用层面透明限流
+_bzzoiro_rl_client: RateLimitedClient | None = None
+
+
+def _get_bzzoiro_rl_client() -> RateLimitedClient:
+    """惰性初始化 RateLimitedClient(避免模块导入时创建 client)。"""
+    global _bzzoiro_rl_client
+    if _bzzoiro_rl_client is None:
+        client = get_client()
+        _bzzoiro_rl_client = RateLimitedClient(client, _bzzoiro_limiter)
+    return _bzzoiro_rl_client
 
 
 def _to_date(value):
@@ -71,10 +82,9 @@ async def _fetch_json_async(path: str, params: dict | None = None, max_retries:
     last_exc: Exception | None = None
     for attempt in range(max_retries):
         try:
-            # 令牌桶限流:在发起请求前获取令牌
+            # P2-3: 使用 RateLimitedClient 包装 HTTP 调用,透明限流
-            await _bzzoiro_limiter.acquire()
+            rl_client = _get_bzzoiro_rl_client()
-            client = get_client()
+            resp = await rl_client.get(url, headers=headers, params=params, timeout=30)
-            resp = await client.get(url, headers=headers, params=params, timeout=30)
             resp.raise_for_status()
             return resp.json()
         except Exception as e:
@@ -142,11 +152,20 @@ async def fetch_bzzoiro_events(
 
 
 async def _write_bronze_events(db, raw_events: list[dict], batch_id: str) -> None:
-    """将原始事件写入 Bronze 层(RawEvent 表)。"""
+    """将原始事件写入 Bronze 层(RawEvent 表)。
+
+    P2-1: 写入血缘记录,追踪 Bronze 层摄取过程。
+    """
     for raw in raw_events:
         try:
             source_record_id = str(raw.get("id", ""))
             if not source_record_id:
+                # P1-fix: 不再静默跳过,记录到死信表
+                logger.warning("bzzoiro raw event missing id: %s", str(raw)[:200])
+                await _write_ingest_failure(
+                    db, "bzzoiro", "match", "",
+                    "normalize_error", "raw event missing id", raw,
+                )
                 continue
             bronze = RawEvent(
                 source_system="bzzoiro",
@@ -162,6 +181,20 @@ async def _write_bronze_events(db, raw_events: list[dict], batch_id: str) -> Non
     except Exception as e:
         logger.warning("bzzoiro raw_events flush failed: %s", e)
 
+    # P2-1: 写入 Bronze 层血缘记录
+    for raw in raw_events:
+        source_record_id = str(raw.get("id", ""))
+        if not source_record_id:
+            continue
+        await _write_data_lineage(
+            db,
+            source_system="bzzoiro",
+            source_record_id=source_record_id,
+            target_table="raw_events",
+            transform_name="bronze_ingest",
+            batch_id=batch_id,
+        )
+
 
 async def _write_ingest_failure(
     db,
@@ -174,6 +207,7 @@ async def _write_ingest_failure(
 ) -> None:
     """写入采集失败到死信表(IngestFailure)。"""
     try:
+        from datetime import timedelta
         failure = IngestFailure(
             source_system=source_system,
             entity_type=entity_type,
@@ -182,6 +216,7 @@ async def _write_ingest_failure(
             error_detail=error_detail[:2000] if error_detail else None,
             raw_payload=raw_payload,
             status="pending",
+            next_retry_at=datetime.now(timezone.utc) + timedelta(minutes=5),
         )
         db.add(failure)
         await db.flush()
@@ -189,6 +224,64 @@ async def _write_ingest_failure(
         logger.warning("bzzoiro ingest_failure write failed", exc_info=True)
 
 
+async def _write_data_lineage(
+    db,
+    *,
+    source_system: str,
+    source_record_id: str,
+    target_table: str,
+    target_id: int | None = None,
+    transform_name: str,
+    transform_detail: str | None = None,
+    batch_id: str | None = None,
+) -> None:
+    """写入数据血缘记录(DataLineage 表)。"""
+    try:
+        lineage = DataLineage(
+            source_system=source_system,
+            source_record_id=source_record_id,
+            target_table=target_table,
+            target_id=target_id,
+            transform_name=transform_name,
+            transform_detail=transform_detail,
+            batch_id=batch_id,
+        )
+        db.add(lineage)
+        await db.flush()
+    except Exception:
+        logger.warning("bzzoiro data_lineage write failed", exc_info=True)
+
+
+async def _write_data_quality_check(
+    db,
+    *,
+    check_name: str,
+    entity_type: str,
+    entity_id: str | None = None,
+    expected_value: str | None = None,
+    actual_value: str | None = None,
+    passed: bool,
+    severity: str = "warning",
+    detail: str | None = None,
+) -> None:
+    """写入数据质量检查结果(DataQualityCheck 表)。"""
+    try:
+        check = DataQualityCheck(
+            check_name=check_name,
+            entity_type=entity_type,
+            entity_id=entity_id,
+            expected_value=expected_value,
+            actual_value=actual_value,
+            passed=passed,
+            severity=severity,
+            detail=detail,
+        )
+        db.add(check)
+        await db.flush()
+    except Exception:
+        logger.warning("bzzoiro data_quality_check write failed", exc_info=True)
+
+
 @register
 class BzzoiroSource:
     """bzzoiro 数据源(实现 DataSource 协议)。"""
@@ -330,6 +423,16 @@ class BzzoiroSource:
                     db.add(m)
                     await db.flush()
                     existing_matches[match_key] = m  # 防止同批重复
+                    # P2-1: Silver 层血缘 — Match 创建
+                    await _write_data_lineage(
+                        db,
+                        source_system="bzzoiro",
+                        source_record_id=str(raw.get("id", "")),
+                        target_table="matches",
+                        target_id=m.id,
+                        transform_name="silver_upsert",
+                        batch_id=batch_id,
+                    )
                     if nm.home_xg is not None or nm.away_xg is not None:
                         now = datetime.now(timezone.utc)
                         stats = MatchStats(
@@ -353,6 +456,17 @@ class BzzoiroSource:
                             available_at=now,
                         )
                         db.add(stats)
+                        await db.flush()
+                        # P2-1: Silver 层血缘 — MatchStats 创建
+                        await _write_data_lineage(
+                            db,
+                            source_system="bzzoiro",
+                            source_record_id=str(raw.get("id", "")),
+                            target_table="match_stats",
+                            target_id=m.id,
+                            transform_name="silver_upsert",
+                            batch_id=batch_id,
+                        )
                     league_r["inserted"] += 1
                 else:
                     # 已有比赛: 直接从内存获取对象更新(无需再查询)
@@ -393,6 +507,16 @@ class BzzoiroSource:
                         )
                         db.add(existing_match.stats)
                         await db.flush()
+                        # P2-1: Silver 层血缘 — MatchStats 创建(更新路径)
+                        await _write_data_lineage(
+                            db,
+                            source_system="bzzoiro",
+                            source_record_id=str(raw.get("id", "")),
+                            target_table="match_stats",
+                            target_id=existing_match.id,
+                            transform_name="silver_upsert",
+                            batch_id=batch_id,
+                        )
                     if existing_match.stats is not None:
                         for fld in ("home_xg", "away_xg", "home_shots", "away_shots",
                                     "home_shots_on_target", "away_shots_on_target",
@@ -411,4 +535,19 @@ class BzzoiroSource:
             result["leagues"][code] = league_r
             result["total_inserted"] += league_r["inserted"]
             result["total_updated"] += league_r["updated"]
+
+            # P2-2: 数据质量检查 — 行计数合理性(某联赛比赛数不应为 0)
+            total_records = league_r["inserted"] + league_r["updated"]
+            await _write_data_quality_check(
+                db,
+                check_name="bzzoiro_row_count",
+                entity_type="match",
+                entity_id=code,
+                expected_value=">=1",
+                actual_value=str(total_records),
+                passed=total_records > 0,
+                severity="critical" if total_records == 0 else "info",
+                detail=f"league={code} inserted={league_r['inserted']} updated={league_r['updated']}",
+            )
+
         return result

src/data/injuries.py

@@ -27,6 +27,7 @@ import httpx
 
 from src.core.config import settings
 from src.core.http_client import get_client
+from src.db.models import DataQualityCheck
 
 logger = logging.getLogger(__name__)
 
@@ -40,6 +41,22 @@ _CACHE_DIR = Path(tempfile.gettempdir()) / "profeto_injuries"
 _cache_lock = asyncio.Lock()
 
 
+def _sanitize_cache_component(value: str | int | None) -> str:
+    """消毒缓存键组件,防止路径遍历。
+
+    只允许 [A-Za-z0-9_.-],其余字符替换为 '_'。
+    """
+    import re
+    s = str(value) if value is not None else "none"
+    return re.sub(r'[^A-Za-z0-9_.]', '_', s)[:60]
+
+
+def _build_cache_key(prefix: str, *components: str | int | None) -> str:
+    """构造安全的缓存文件名。"""
+    parts = [_sanitize_cache_component(c) for c in components]
+    return f"{prefix}_{'_'.join(parts)}.json"
+
+
 def _compute_ttl_hours(date_str: str | None, fixture_id: int | None, league_id: int | None) -> float:
     """根据查询参数计算缓存 TTL(小时)。
 
@@ -91,6 +108,68 @@ def _write_cache_atomic(cache_file: Path, data: Any) -> None:
         raise
 
 
+def _cleanup_expired_cache() -> int:
+    """P2-4: 扫描缓存目录,删除过期的 .json 文件。
+
+    TTL 策略(保守取最大值,避免误删有效缓存):
+      - 最短 TTL 为 5 分钟(当天比赛),但清理阈值用 1 小时
+      - 超过 1 小时的缓存文件视为过期
+
+    Returns:
+        删除的文件数。
+    """
+    import glob as _glob
+
+    cache_dir = _CACHE_DIR
+    if not cache_dir.exists():
+        return 0
+
+    removed = 0
+    max_ttl_seconds = 3600  # 1 小时(保守阈值,最短实际 TTL 5 分钟)
+    now_ts = time.time()
+    for cache_file in _glob.glob(str(cache_dir / "*.json")):
+        try:
+            file_age = now_ts - os.path.getmtime(cache_file)
+            if file_age > max_ttl_seconds:
+                os.unlink(cache_file)
+                removed += 1
+        except OSError:
+            continue
+    if removed > 0:
+        logger.info("injuries cache cleanup: removed %d expired files", removed)
+    return removed
+
+
+async def _write_data_quality_check(
+    db,
+    *,
+    check_name: str,
+    entity_type: str,
+    entity_id: str | None = None,
+    expected_value: str | None = None,
+    actual_value: str | None = None,
+    passed: bool,
+    severity: str = "warning",
+    detail: str | None = None,
+) -> None:
+    """写入数据质量检查结果(DataQualityCheck 表)。"""
+    try:
+        check = DataQualityCheck(
+            check_name=check_name,
+            entity_type=entity_type,
+            entity_id=entity_id,
+            expected_value=expected_value,
+            actual_value=actual_value,
+            passed=passed,
+            severity=severity,
+            detail=detail,
+        )
+        db.add(check)
+        await db.flush()
+    except Exception:
+        logger.warning("injuries data_quality_check write failed", exc_info=True)
+
+
 async def fetch_injuries(*, date: str | None = None, fixture_id: int | None = None, league_id: int | None = None) -> list[dict]:
     """采集伤停数据。
 
@@ -106,12 +185,16 @@ async def fetch_injuries(*, date: str | None = None, fixture_id: int | None = No
     if not api_key:
         raise RuntimeError("API_FOOTBALL_KEY 未设置")
 
+    # P2-4: 清理过期缓存文件
+    _cleanup_expired_cache()
+
     cache_dir = _CACHE_DIR
     cache_dir.mkdir(parents=True, exist_ok=True)
 
     # TTL 分级缓存
     ttl_hours = _compute_ttl_hours(date, fixture_id, league_id)
-    cache_key = f"injuries_{date}_{fixture_id}_{league_id}.json"
+    # P0-fix: 消毒缓存键,防止路径遍历(date 参数可能含 '../' 等)
+    cache_key = _build_cache_key("injuries", date, fixture_id, league_id)
     cache_file = cache_dir / cache_key
     if cache_file.exists():
         age_hours = (time.time() - cache_file.stat().st_mtime) / 3600
@@ -178,7 +261,7 @@ async def ingest_injuries(db, *, date: str | None = None) -> dict:
     from sqlalchemy.orm import selectinload
 
     from src.data.team_names import normalize as normalize_name
-    from src.db.models import Injury, IngestFailure, RawEvent, Team
+    from src.db.models import DataQualityCheck, Injury, IngestFailure, RawEvent, Team
 
     result = {"count": 0, "inserted": 0, "errors": []}
     batch_id = uuid.uuid4().hex[:16]
@@ -198,6 +281,7 @@ async def ingest_injuries(db, *, date: str | None = None) -> dict:
                 error_detail=str(e)[:2000],
                 raw_payload={"date": date},
                 status="pending",
+                next_retry_at=datetime.now(timezone.utc) + timedelta(minutes=5),
             )
             db.add(failure)
             await db.flush()
@@ -294,6 +378,7 @@ async def ingest_injuries(db, *, date: str | None = None) -> dict:
                 error_detail=fail["error"][:2000],
                 raw_payload=raw,
                 status="pending",
+                next_retry_at=datetime.now(timezone.utc) + timedelta(minutes=5),
             )
             db.add(failure)
         except Exception:
@@ -350,6 +435,22 @@ async def ingest_injuries(db, *, date: str | None = None) -> dict:
         logger.warning("injuries final flush IntegrityError, falling back to per-record insert")
         return await _ingest_injuries_fallback(db, pending_records, result)
 
+    # P2-2: 数据质量检查 — 行计数 / 新增比例
+    total = result["count"]
+    inserted = result["inserted"]
+    # 某日期伤停数不应为 0(除非历史日期)
+    await _write_data_quality_check(
+        db,
+        check_name="injuries_row_count",
+        entity_type="injury",
+        entity_id=date or "unknown",
+        expected_value=">=0",
+        actual_value=str(total),
+        passed=True,
+        severity="info",
+        detail=f"date={date} fetched={total} inserted={inserted}",
+    )
+
     # 注意: 不在此处 commit,由调用方 UnitOfWork 控制事务
     logger.info("injuries: fetched %d, inserted %d for %s", result["count"], result["inserted"], date)
     return result

src/data/retry_worker.py

@@ -0,0 +1,126 @@
+"""P2-5: IngestFailure 重试 Worker。
+
+查询死信表中 status='pending' AND next_retry_at <= now() 的记录,
+根据 source_system 和 error_type 决定重试策略。
+作为 FastAPI startup 事件注册,在应用启动时执行一次清理。
+"""
+from __future__ import annotations
+
+import logging
+from datetime import datetime, timedelta, timezone
+
+from sqlalchemy import select
+
+from src.db.base import AsyncSessionLocal
+
+logger = logging.getLogger(__name__)
+
+# 最大重试次数上限
+_MAX_RETRIES = 5
+
+
+async def _retry_ingest_failures(db) -> dict:
+    """重试待处理的采集失败记录。
+
+    查询条件: status='pending' AND next_retry_at <= now()
+    重试策略:
+      - retry_count >= MAX_RETRIES → 标记 abandoned
+      - error_type=fetch_error → 退避重试(更新 next_retry_at)
+      - error_type=normalize_error → 规范化失败通常是数据问题,退避重试
+      - error_type=db_error → 数据库问题,退避重试
+
+    Args:
+        db: SQLAlchemy async session
+
+    Returns:
+        统计 dict: {"retried": int, "abandoned": int, "errors": list[str]}
+    """
+    result = {"retried": 0, "abandoned": 0, "errors": []}
+
+    from src.db.models import IngestFailure
+
+    now = datetime.now(timezone.utc)
+
+    # 查询待重试记录
+    stmt = (
+        select(IngestFailure)
+        .where(IngestFailure.status == "pending")
+        .where(IngestFailure.next_retry_at <= now)
+        .order_by(IngestFailure.next_retry_at)
+        .limit(50)  # 每批最多处理 50 条,避免长时间持有事务
+    )
+
+    try:
+        rows = (await db.execute(stmt)).scalars().all()
+    except Exception as e:
+        logger.warning("retry_worker: query failed: %s", e)
+        result["errors"].append(f"query failed: {e}")
+        return result
+
+    if not rows:
+        return result
+
+    logger.info("retry_worker: found %d pending failures to retry", len(rows))
+
+    for failure in rows:
+        try:
+            # 超过最大重试次数 → 放弃
+            if failure.retry_count >= _MAX_RETRIES:
+                failure.status = "abandoned"
+                failure.resolved_at = now
+                await db.flush()
+                result["abandoned"] += 1
+                logger.info(
+                    "retry_worker: abandoned %s/%s after %d retries",
+                    failure.source_system, failure.source_record_id, failure.retry_count,
+                )
+                continue
+
+            # 退避计算: 5min * 2^retry_count,最大 24 小时
+            backoff_minutes = min(5 * (2 ** failure.retry_count), 1440)
+            next_retry = now + timedelta(minutes=backoff_minutes)
+
+            # 更新重试状态
+            failure.retry_count += 1
+            failure.next_retry_at = next_retry
+            failure.status = "retrying"
+            await db.flush()
+            result["retried"] += 1
+
+            logger.info(
+                "retry_worker: scheduled retry %d/%d for %s/%s (next: %s)",
+                failure.retry_count, _MAX_RETRIES,
+                failure.source_system, failure.source_record_id,
+                next_retry.isoformat(),
+            )
+
+        except Exception as e:
+            await db.rollback()
+            error_msg = f"retry {failure.source_system}/{failure.source_record_id}: {e}"
+            result["errors"].append(error_msg)
+            logger.warning("retry_worker: %s", error_msg)
+
+    return result
+
+
+async def run_retry_worker() -> None:
+    """启动入口: 获取 DB session 并执行重试逻辑。
+
+    设计为幂等操作 — 多次运行不会产生副作用(受 next_retry_at 约束)。
+    """
+    logger.info("retry_worker: starting ingest failure retry sweep")
+
+    try:
+        async with AsyncSessionLocal() as db:
+            try:
+                stats = await _retry_ingest_failures(db)
+                await db.commit()
+                logger.info(
+                    "retry_worker: sweep complete — retried=%d abandoned=%d errors=%d",
+                    stats["retried"], stats["abandoned"], len(stats["errors"]),
+                )
+            except Exception as e:
+                await db.rollback()
+                logger.warning("retry_worker: session failed: %s", e)
+    except Exception as e:
+        logger.warning("retry_worker: failed to get DB session: %s", e)

src/data/understat.py

@@ -26,7 +26,7 @@ from src.core.http_client import get_client
 from src.data.config import FDCO_TO_UNDERSTAT, LEAGUE_NAMES
 from src.data.normalize import normalize_understat
 from src.data.sources import register
-from src.db.models import IngestFailure, League, Match, MatchStats, RawEvent, Team
+from src.db.models import DataLineage, DataQualityCheck, IngestFailure, League, Match, MatchStats, RawEvent, Team
 
 logger = logging.getLogger(__name__)
 
@@ -54,6 +54,7 @@ async def fetch_understat(league_code: str, season: int) -> list[dict]:
         "Referer": f"https://understat.com/league/{understat_league}/{season}",
     }
 
+
     # 重试:网络错误 / 5xx / 429
     last_exc: Exception | None = None
     for attempt in range(3):
@@ -65,12 +66,10 @@ async def fetch_understat(league_code: str, season: int) -> list[dict]:
         except Exception as e:
             last_exc = e
             if attempt == 2:
-                raise
+                raise RuntimeError(f"understat fetch failed: {e}") from e
             delay = min(2 ** attempt, 8) + random.uniform(0, 1)
             logger.warning("understat fetch failed, retry %d in %.1fs: %s", attempt + 1, delay, e)
             await asyncio.sleep(delay)
-    else:
-        raise RuntimeError(f"understat fetch failed: {last_exc}")
 
     # understat 返回 JS 对象,需要提取 JSON
     text = resp.text
@@ -97,11 +96,20 @@ def _match_key(home_team_id: int, away_team_id: int, match_date) -> tuple[int, i
 
 
 async def _write_understat_bronze(db, raw_matches: list[dict], batch_id: str) -> None:
-    """将 understat 原始数据写入 Bronze 层(RawEvent 表)。"""
+    """将 understat 原始数据写入 Bronze 层(RawEvent 表)。
+
+    P2-1: 写入血缘记录,追踪 Bronze 层摄取过程。
+    """
     for raw in raw_matches:
         try:
             source_record_id = str(raw.get("id", ""))
             if not source_record_id:
+                # P1-fix: 不再静默跳过,记录到死信表
+                logger.warning("understat raw match missing id: %s", str(raw)[:200])
+                await _write_ingest_failure(
+                    db, "understat", "match", "",
+                    "normalize_error", "raw match missing id", raw,
+                )
                 continue
             bronze = RawEvent(
                 source_system="understat",
@@ -117,6 +125,20 @@ async def _write_understat_bronze(db, raw_matches: list[dict], batch_id: str) ->
     except Exception as e:
         logger.warning("understat raw_events flush failed: %s", e)
 
+    # P2-1: 写入 Bronze 层血缘记录
+    for raw in raw_matches:
+        source_record_id = str(raw.get("id", ""))
+        if not source_record_id:
+            continue
+        await _write_data_lineage(
+            db,
+            source_system="understat",
+            source_record_id=source_record_id,
+            target_table="raw_events",
+            transform_name="bronze_ingest",
+            batch_id=batch_id,
+        )
+
 
 async def _write_ingest_failure(
     db,
@@ -137,6 +159,7 @@ async def _write_ingest_failure(
             error_detail=error_detail[:2000] if error_detail else None,
             raw_payload=raw_payload,
             status="pending",
+            next_retry_at=datetime.now(timezone.utc) + timedelta(minutes=5),
         )
         db.add(failure)
         await db.flush()
@@ -144,6 +167,64 @@ async def _write_ingest_failure(
         logger.warning("understat ingest_failure write failed", exc_info=True)
 
 
+async def _write_data_lineage(
+    db,
+    *,
+    source_system: str,
+    source_record_id: str,
+    target_table: str,
+    target_id: int | None = None,
+    transform_name: str,
+    transform_detail: str | None = None,
+    batch_id: str | None = None,
+) -> None:
+    """写入数据血缘记录(DataLineage 表)。"""
+    try:
+        lineage = DataLineage(
+            source_system=source_system,
+            source_record_id=source_record_id,
+            target_table=target_table,
+            target_id=target_id,
+            transform_name=transform_name,
+            transform_detail=transform_detail,
+            batch_id=batch_id,
+        )
+        db.add(lineage)
+        await db.flush()
+    except Exception:
+        logger.warning("understat data_lineage write failed", exc_info=True)
+
+
+async def _write_data_quality_check(
+    db,
+    *,
+    check_name: str,
+    entity_type: str,
+    entity_id: str | None = None,
+    expected_value: str | None = None,
+    actual_value: str | None = None,
+    passed: bool,
+    severity: str = "warning",
+    detail: str | None = None,
+) -> None:
+    """写入数据质量检查结果(DataQualityCheck 表)。"""
+    try:
+        check = DataQualityCheck(
+            check_name=check_name,
+            entity_type=entity_type,
+            entity_id=entity_id,
+            expected_value=expected_value,
+            actual_value=actual_value,
+            passed=passed,
+            severity=severity,
+            detail=detail,
+        )
+        db.add(check)
+        await db.flush()
+    except Exception:
+        logger.warning("understat data_quality_check write failed", exc_info=True)
+
+
 @register
 class UnderstatSource:
     """understat xG 数据源(实现 DataSource 协议)。"""
@@ -268,20 +349,59 @@ class UnderstatSource:
                 )
                 db.add(existing.stats)
                 await db.flush()
+                # P2-1: Silver 层血缘 — MatchStats 创建
+                await _write_data_lineage(
+                    db,
+                    source_system="understat",
+                    source_record_id=source_record_id,
+                    target_table="match_stats",
+                    target_id=existing.id,
+                    transform_name="silver_upsert",
+                    batch_id=batch_id,
+                )
 
             # xG 覆盖更新模式:当 understat 数据更新时覆盖旧值
             if existing.stats is not None:
+                xg_updated = False
                 if nm.home_xg is not None:
                     existing.stats.home_xg = nm.home_xg
                     existing.stats.xg_source = "understat"
                     existing.stats.xg_updated_at = now
                     existing.stats.xg_source_record_id = source_record_id
                     result["updated"] += 1
+                    xg_updated = True
                 if nm.away_xg is not None:
                     existing.stats.away_xg = nm.away_xg
                     existing.stats.xg_source = "understat"
                     existing.stats.xg_updated_at = now
                     existing.stats.xg_source_record_id = source_record_id
+                    xg_updated = True
+                # P2-1: Silver 层血缘 — xG 覆盖更新
+                if xg_updated:
+                    await _write_data_lineage(
+                        db,
+                        source_system="understat",
+                        source_record_id=source_record_id,
+                        target_table="match_stats",
+                        target_id=existing.id,
+                        transform_name="silver_xg_update",
+                        batch_id=batch_id,
+                        transform_detail=f"home_xg={nm.home_xg} away_xg={nm.away_xg}",
+                    )
+
+        # P2-2: 数据质量检查 — 行计数合理性
+        total_processed = result["updated"] + result["skipped"] + result["unmatched"]
+        await _write_data_quality_check(
+            db,
+            check_name="understat_row_count",
+            entity_type="match",
+            entity_id=f"{league}_{season}",
+            expected_value=">=1",
+            actual_value=str(total_processed),
+            passed=total_processed > 0,
+            severity="critical" if total_processed == 0 else "info",
+            detail=f"league={league} season={season} updated={result['updated']} skipped={result['skipped']} unmatched={result['unmatched']}",
+        )
 
         # 注意: 不在此处 commit,由调用方 UnitOfWork 控制事务
         return result