fix(HEL-461): 整批发布按完整边界重暂存,主档与快照同事务

边界内任有缺失则整组重暂存后统一切换,避免旧新批次混发;
refresh_stocks 失败时主档保持旧值,并补齐回归测试。

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: multica-agent <github@multica.ai>
This commit is contained in:
总工
2026-09-05 08:52:50 +08:00
co-authored by Cursor multica-agent
parent 16841e9ae3
commit 32f565ecb9
3 changed files with 167 additions and 38 deletions
+1 -1
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@@ -91,7 +91,7 @@ python -m datahub history-backfill
- 流程:组内全部成员先在暂存表完成拉取、字段质量门、覆盖检查和跨数据集交叉校验(`cross_gates` 配置 ts_code 覆盖重叠率下限),全部达标后才在**一个 SQLite 事务**里复制正式表并翻转全部 `publications` 指针。 - 流程:组内全部成员先在暂存表完成拉取、字段质量门、覆盖检查和跨数据集交叉校验(`cross_gates` 配置 ts_code 覆盖重叠率下限),全部达标后才在**一个 SQLite 事务**里复制正式表并翻转全部 `publications` 指针。
- 任一成员失败(拉取失败、质量门拒绝、交叉校验不过、切换事务中断)→ 整批不切换,对外继续提供上一份完整正式版本,失败原因写入 `batches.error``audit_log``action=release-group`),等待晚间自动重试。 - 任一成员失败(拉取失败、质量门拒绝、交叉校验不过、切换事务中断)→ 整批不切换,对外继续提供上一份完整正式版本,失败原因写入 `batches.error``audit_log``action=release-group`),等待晚间自动重试。
- 读取侧任何时刻只会看到"旧完整版本"或"新完整版本":发布指针在单事务内统一翻转,容器重启/事务中断自动回滚,不暴露字段残缺或跨数据集混合版本。 - 读取侧任何时刻只会看到"旧完整版本"或"新完整版本":发布指针在单事务内统一翻转,容器重启/事务中断自动回滚,不暴露字段残缺或跨数据集混合版本。
- 幂等:已发布数据集自动跳过;重复执行、并发重试不会生成重复批次或覆盖正常版本(调度器另有 EOD 互斥锁)。 - 幂等:仅当一致性边界内全部成员都已发布时才整组跳过;边界内任有缺失则整组重暂存后统一切换,避免旧批次与新批次混在同一次重发中。重复执行、并发重试不会在完整边界已就绪时生成重复批次(调度器另有 EOD 互斥锁)。
## 股票主档每日刷新与发布 ## 股票主档每日刷新与发布
+78 -29
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@@ -348,11 +348,20 @@ class Pipeline:
is published; ``force`` re-publishes unconditionally. New listings, is published; ``force`` re-publishes unconditionally. New listings,
renames (incl. N/C prefix removal) and status changes all flow into renames (incl. N/C prefix removal) and status changes all flow into
the snapshot, which carries batch_id/published_at metadata. the snapshot, which carries batch_id/published_at metadata.
The ``stock_master`` UPSERT happens inside the same publish
transaction as the snapshot switch — fetch / quality-gate / switch
failures leave the master on the previous complete values.
""" """
day = yyyymmdd(trade_date or self.clock()) day = yyyymmdd(trade_date or self.clock())
rows = self._fetch_dataset(STOCKS_DATASET, day) try:
with self.db.write() as connection: rows = self._fetch_dataset(STOCKS_DATASET, day)
self._upsert_stock_master(connection, rows, isoformat(self.clock())) except Exception as exc:
self.audit(
"pipeline", "stocks-refresh", f"{STOCKS_DATASET}:{day}",
json.dumps({"state": "failed", "error": str(exc)}, ensure_ascii=False),
)
raise
if not force: if not force:
active, snapshot = self.published_stock_snapshot(day) active, snapshot = self.published_stock_snapshot(day)
if active is not None: if active is not None:
@@ -369,7 +378,14 @@ class Pipeline:
"batch_id": active, "batch_id": active,
"rows": len(snapshot), "rows": len(snapshot),
} }
result = self.run_dataset(STOCKS_DATASET, day, prepared_rows=rows) try:
result = self.run_dataset(STOCKS_DATASET, day, prepared_rows=rows)
except Exception as exc:
self.audit(
"pipeline", "stocks-refresh", f"{STOCKS_DATASET}:{day}",
json.dumps({"state": "failed", "error": str(exc)}, ensure_ascii=False),
)
raise
self.audit( self.audit(
"pipeline", "stocks-refresh", f"{STOCKS_DATASET}:{day}", "pipeline", "stocks-refresh", f"{STOCKS_DATASET}:{day}",
json.dumps({"batch_id": result["batch_id"], "rows": result["rows"]}, ensure_ascii=False), json.dumps({"batch_id": result["batch_id"], "rows": result["rows"]}, ensure_ascii=False),
@@ -637,14 +653,18 @@ class Pipeline:
return [dataset for dataset in sorted(OFFICIAL_DATASETS) if dataset not in published] return [dataset for dataset in sorted(OFFICIAL_DATASETS) if dataset not in published]
def run_eod_missing(self, trade_date: str) -> dict[str, Any]: def run_eod_missing(self, trade_date: str) -> dict[str, Any]:
"""Fetch/publish every official dataset still missing for the date. """Republish every incomplete EOD consistency group for the date.
Idempotent: datasets with an existing publication are skipped, so A-group (daily/valuation/moneyflow/auction + stocks) and B-group
repeats never overwrite the current official batch. All missing (index_daily) are separate boundaries. Within a group, either the
members stage first and switch in one atomic release group; a single whole boundary is already published (idempotent skip) or every
member failure keeps the previous complete official version serving. member is re-staged and switched together — never fill only the
missing members on top of older batches from an earlier partial run.
""" """
return self.run_release_group(tuple(sorted(OFFICIAL_DATASETS)), trade_date, include_stocks=True) results: dict[str, Any] = {}
results.update(self.run_eod_batch_a(trade_date))
results.update(self.run_eod_batch_b(trade_date))
return results
def run_eod_batch_a(self, trade_date: str) -> dict[str, Any]: def run_eod_batch_a(self, trade_date: str) -> dict[str, Any]:
return self.run_release_group(EOD_A_DATASETS, trade_date, include_stocks=True) return self.run_release_group(EOD_A_DATASETS, trade_date, include_stocks=True)
@@ -661,29 +681,46 @@ class Pipeline:
"""One post-market publish/republish becomes one atomic visibility flip. """One post-market publish/republish becomes one atomic visibility flip.
Consistency boundary: every member (official datasets, plus the daily Consistency boundary: every member (official datasets, plus the daily
stocks snapshot when ``include_stocks`` and not yet published) is stocks snapshot when ``include_stocks``) is fetched, staged,
fetched, staged, field-gated and cross-validated BEFORE any reader can field-gated and cross-validated BEFORE any reader can see it. Only
see it. Only when the whole group passes does a single SQLite when the whole group passes does a single SQLite transaction copy
transaction copy all staging batches to the official tables and flip all staging batches to the official tables and flip every
every ``publications`` row at once. Any member failure aborts the ``publications`` row at once. Any member failure aborts the group:
group: the previous complete official version keeps serving and the the previous complete official version keeps serving and the reason
reason is recorded on the batches and in the audit log. is recorded on the batches and in the audit log.
Skip is all-or-nothing for the boundary: if every official member
(and stocks when required) is already published, the group is
skipped. If any official member is still missing, every official
member is re-staged — including ones that already had a publication
— so a retry never mixes old and new batches in one release.
""" """
day = yyyymmdd(trade_date) day = yyyymmdd(trade_date)
results: dict[str, Any] = {} results: dict[str, Any] = {}
staged: dict[str, dict[str, Any]] = {} staged: dict[str, dict[str, Any]] = {}
failure: str | None = None failure: str | None = None
pending: list[str] = [] missing_official = [dataset for dataset in datasets if self.active_batch(dataset, day) is None]
for dataset in datasets: stocks_missing = include_stocks and self.active_batch(STOCKS_DATASET, day) is None
if self.active_batch(dataset, day) is not None:
if not missing_official and not stocks_missing:
for dataset in datasets:
results[dataset] = { results[dataset] = {
"dataset": dataset, "dataset": dataset,
"trade_date": day, "trade_date": day,
"state": "skipped", "state": "skipped",
"reason": "already_published", "reason": "already_published",
} }
else: if include_stocks:
pending.append(dataset) results[STOCKS_DATASET] = {
"dataset": STOCKS_DATASET,
"trade_date": day,
"state": "skipped",
"reason": "already_published",
}
return results
# Incomplete boundary → restage every official member together.
pending = list(datasets) if missing_official else []
for dataset in pending: for dataset in pending:
if failure is not None: if failure is not None:
@@ -705,9 +742,11 @@ class Pipeline:
"error": str(exc), "error": str(exc),
} }
if include_stocks and failure is None and self.active_batch(STOCKS_DATASET, day) is None: # Stocks join the same switch when the official boundary is being
# rebuilt, or when only the stocks snapshot is still missing.
if include_stocks and failure is None and (missing_official or stocks_missing):
try: try:
stocks_plan = self._stage_stocks_snapshot(day) stocks_plan = self._stage_stocks_snapshot(day, force=bool(missing_official))
except Exception as exc: except Exception as exc:
failure = f"{STOCKS_DATASET}: {exc}" failure = f"{STOCKS_DATASET}: {exc}"
results[STOCKS_DATASET] = { results[STOCKS_DATASET] = {
@@ -820,18 +859,18 @@ class Pipeline:
"state": "degraded" if report["soft_fail"] else "published", "state": "degraded" if report["soft_fail"] else "published",
} }
def _stage_stocks_snapshot(self, trade_date: str) -> dict[str, Any] | None: def _stage_stocks_snapshot(self, trade_date: str, force: bool = False) -> dict[str, Any] | None:
"""Stage the daily stocks snapshot for a release group switch. """Stage the daily stocks snapshot for a release group switch.
Returns None when the published snapshot is already identical to Returns None when the published snapshot is already identical to
upstream (idempotent skip). The stock_master upsert is deferred into upstream (idempotent skip) unless ``force`` is set. The stock_master
the group switch transaction so the master never runs ahead of the upsert is deferred into the group switch / publish transaction so the
published snapshot. master never runs ahead of the published snapshot.
""" """
day = yyyymmdd(trade_date) day = yyyymmdd(trade_date)
active, snapshot = self.published_stock_snapshot(day) active, snapshot = self.published_stock_snapshot(day)
rows = self._fetch_dataset(STOCKS_DATASET, day) rows = self._fetch_dataset(STOCKS_DATASET, day)
if active is not None: if active is not None and not force:
upstream = sorted( upstream = sorted(
tuple(str(row.get(field)) for field in STOCK_SNAPSHOT_FIELDS) for row in rows tuple(str(row.get(field)) for field in STOCK_SNAPSHOT_FIELDS) for row in rows
) )
@@ -1077,6 +1116,16 @@ class Pipeline:
with self.db.write() as connection: with self.db.write() as connection:
_staging_count_or_raise(connection, dataset, trade_date, batch_id) _staging_count_or_raise(connection, dataset, trade_date, batch_id)
connection.execute(EOD_COPY[dataset], (batch_id,)) connection.execute(EOD_COPY[dataset], (batch_id,))
if dataset == STOCKS_DATASET:
staging = DATASET_TABLES[STOCKS_DATASET][1]
stock_rows = [
dict(row)
for row in connection.execute(
f"SELECT * FROM {staging} WHERE batch_id = ?",
(batch_id,),
).fetchall()
]
self._upsert_stock_master(connection, stock_rows, published_at)
if self.before_commit: if self.before_commit:
self.before_commit() self.before_commit()
_upsert_publication(connection, dataset, trade_date, batch_id, state, published_at) _upsert_publication(connection, dataset, trade_date, batch_id, state, published_at)
+88 -8
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@@ -21,14 +21,14 @@ class GroupTransport:
def __init__(self) -> None: def __init__(self) -> None:
self.empty: set[str] = set() self.empty: set[str] = set()
self.keep_rows: dict[str, int] = {} self.keep_rows: dict[str, int] = {}
self.stocks: list[dict] = [] self.stocks: list[dict] | None = None
self.calls: list[str] = [] self.calls: list[str] = []
def __call__(self, api_name: str, params: dict, fields: str): def __call__(self, api_name: str, params: dict, fields: str):
self.calls.append(api_name) self.calls.append(api_name)
if api_name in self.empty: if api_name in self.empty:
return [] return []
if api_name == "stock_basic" and self.stocks: if api_name == "stock_basic" and self.stocks is not None:
return [dict(row) for row in self.stocks] return [dict(row) for row in self.stocks]
rows = fake_transport(api_name, params, fields) rows = fake_transport(api_name, params, fields)
keep = self.keep_rows.get(api_name) keep = self.keep_rows.get(api_name)
@@ -113,19 +113,48 @@ class ReleaseGroupSwitchTests(unittest.TestCase):
first = self.pipe.run_dataset("daily", TRADE_DATE) first = self.pipe.run_dataset("daily", TRADE_DATE)
self.transport.empty = {"daily_basic"} self.transport.empty = {"daily_basic"}
results = self.pipe.run_eod_missing(TRADE_DATE) results = self.pipe.run_eod_missing(TRADE_DATE)
self.assertEqual(results["daily"]["state"], "skipped") # incomplete A-group restages daily with the others; valuation fails → no A switch
self.assertEqual(results["daily"]["state"], "failed")
self.assertEqual(results["valuation"]["state"], "failed") self.assertEqual(results["valuation"]["state"], "failed")
# the already-published complete batch is untouched and keeps serving # the already-published daily batch is untouched and keeps serving
self.assertEqual(self.pipe.active_batch("daily", TRADE_DATE), first["batch_id"]) self.assertEqual(self.pipe.active_batch("daily", TRADE_DATE), first["batch_id"])
self.assertEqual( pubs = publications_map(self.db, TRADE_DATE)
publications_map(self.db, TRADE_DATE), self.assertEqual(pubs["daily"], first["batch_id"])
{"daily": first["batch_id"]}, self.assertNotIn("valuation", pubs)
) self.assertNotIn("moneyflow", pubs)
self.assertNotIn("auction", pubs)
# B-group is an independent boundary and may still publish
self.assertEqual(results["index_daily"]["state"], "published")
payload = V1API(self.db, self.pipe, self.pipe.settings).handle( payload = V1API(self.db, self.pipe, self.pipe.settings).handle(
"/v1/bars/daily", {"date": [TRADE_DATE], "code": ["600000.SH"]} "/v1/bars/daily", {"date": [TRADE_DATE], "code": ["600000.SH"]}
) )
self.assertEqual(payload["meta"]["batch_id"], first["batch_id"]) self.assertEqual(payload["meta"]["batch_id"], first["batch_id"])
def test_partial_group_retry_does_not_mix_batches(self) -> None:
"""Already-published A members must be restaged with missing ones."""
first_daily = self.pipe.run_dataset("daily", TRADE_DATE)
first_moneyflow = self.pipe.run_dataset("moneyflow", TRADE_DATE)
results = self.pipe.run_eod_missing(TRADE_DATE)
# A-group switched as one boundary; B-group (index) also published
for name in (*GROUP_A, "stocks"):
self.assertEqual(results[name]["state"], "published", name)
self.assertEqual(results["index_daily"]["state"], "published")
pubs = self.db.fetchall(
"SELECT dataset, active_batch, published_at FROM publications WHERE trade_date = ?",
(TRADE_DATE,),
)
by_ds = {str(row["dataset"]): row for row in pubs}
# old partial batches replaced — no cross-batch mix of the first wave
self.assertNotEqual(by_ds["daily"]["active_batch"], first_daily["batch_id"])
self.assertNotEqual(by_ds["moneyflow"]["active_batch"], first_moneyflow["batch_id"])
a_times = {by_ds[name]["published_at"] for name in (*GROUP_A, "stocks")}
self.assertEqual(len(a_times), 1)
# serving resolves the new complete A-group batches
api = V1API(self.db, self.pipe, self.pipe.settings)
daily = api.handle("/v1/bars/daily", {"date": [TRADE_DATE], "code": ["600000.SH"]})
self.assertEqual(daily["meta"]["batch_id"], results["daily"]["batch_id"])
self.assertEqual(daily["meta"]["batch_id"], by_ds["daily"]["active_batch"])
def test_reads_during_switch_see_old_state_until_commit(self) -> None: def test_reads_during_switch_see_old_state_until_commit(self) -> None:
snapshots: list[dict] = [] snapshots: list[dict] = []
@@ -231,5 +260,56 @@ class ReleaseGroupSwitchTests(unittest.TestCase):
self.assertIsNone(stocks_pub) self.assertIsNone(stocks_pub)
class StocksRefreshAtomicTests(unittest.TestCase):
def setUp(self) -> None:
self.transport = GroupTransport()
self.pipe, self.db = make_pipe(self.transport)
self.pipe.ingest_reference(TRADE_DATE)
self.transport.stocks = [
{"ts_code": "600000.SH", "symbol": "600000", "name": "浦发银行", "area": "上海",
"industry": "银行", "market": "主板", "list_status": "L", "list_date": "19991110"},
{"ts_code": "920071.BJ", "symbol": "920071", "name": "N金钛", "area": "辽宁",
"industry": "小金属", "market": "北交所", "list_status": "L", "list_date": "20240901"},
]
first = self.pipe.refresh_stocks(TRADE_DATE)
self.assertEqual(first["state"], "published")
self.first_batch = first["batch_id"]
def test_refresh_keeps_master_when_snapshot_publish_fails(self) -> None:
self.transport.stocks = [
{"ts_code": "600000.SH", "symbol": "600000", "name": "浦发银行", "area": "上海",
"industry": "银行", "market": "主板", "list_status": "L", "list_date": "19991110"},
{"ts_code": "920071.BJ", "symbol": "920071", "name": "金钛股份", "area": "辽宁",
"industry": "小金属", "market": "北交所", "list_status": "L", "list_date": "20240901"},
]
def explode() -> None:
raise RuntimeError("snapshot switch killed")
self.pipe.before_commit = explode
with self.assertRaises(RuntimeError):
self.pipe.refresh_stocks(TRADE_DATE)
master = self.db.fetchone("SELECT name FROM stock_master WHERE ts_code = '920071.BJ'")
self.assertEqual(master["name"], "N金钛") # rename not applied
self.assertEqual(self.pipe.active_batch("stocks", TRADE_DATE), self.first_batch)
audit = self.db.fetchone(
"SELECT * FROM audit_log WHERE action = 'stocks-refresh' ORDER BY id DESC"
)
self.assertIn("failed", str(audit["detail"]))
self.assertIn("snapshot switch killed", str(audit["detail"]))
def test_refresh_keeps_master_when_quality_gate_rejects(self) -> None:
self.transport.stocks = [] # empty → hard fail before publish
with self.assertRaises(Exception):
self.pipe.refresh_stocks(TRADE_DATE)
master = self.db.fetchone("SELECT name FROM stock_master WHERE ts_code = '920071.BJ'")
self.assertEqual(master["name"], "N金钛")
self.assertEqual(self.pipe.active_batch("stocks", TRADE_DATE), self.first_batch)
audit = self.db.fetchone(
"SELECT * FROM audit_log WHERE action = 'stocks-refresh' ORDER BY id DESC"
)
self.assertIn("failed", str(audit["detail"]))
if __name__ == "__main__": if __name__ == "__main__":
unittest.main() unittest.main()