leefer/xiaobai-review
1
1
Fork 0
Code Issues Pull Requests 1 Actions Packages Projects Releases Wiki Activity

fix(HEL-461): 整批发布按完整边界重暂存，主档与快照同事务

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files
xiaobai-datahub/README.md
+1 -1
View File
@@ -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。
- 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` 与 `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。
- 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
xiaobai-datahub/datahub/pipeline.py
+75 -26
View File
@@ -348,11 +348,20 @@ class Pipeline:
is published; ``force`` re-publishes unconditionally. New listings,
renames (incl. N/C prefix removal) and status changes all flow into
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())
try:
rows = self._fetch_dataset(STOCKS_DATASET, day)
with self.db.write() as connection:
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:
active, snapshot = self.published_stock_snapshot(day)
if active is not None:
@@ -369,7 +378,14 @@ class Pipeline:
"batch_id": active,
"rows": len(snapshot),
}
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(
"pipeline", "stocks-refresh", f"{STOCKS_DATASET}:{day}",
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]
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
repeats never overwrite the current official batch. All missing
members stage first and switch in one atomic release group; a single
member failure keeps the previous complete official version serving.
A-group (daily/valuation/moneyflow/auction + stocks) and B-group
(index_daily) are separate boundaries. Within a group, either the
whole boundary is already published (idempotent skip) or every
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]:
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.
Consistency boundary: every member (official datasets, plus the daily
stocks snapshot when ``include_stocks`` and not yet published) is
fetched, staged, field-gated and cross-validated BEFORE any reader can
see it. Only when the whole group passes does a single SQLite
transaction copy all staging batches to the official tables and flip
every ``publications`` row at once. Any member failure aborts the
group: the previous complete official version keeps serving and the
reason is recorded on the batches and in the audit log.
stocks snapshot when ``include_stocks``) is fetched, staged,
field-gated and cross-validated BEFORE any reader can see it. Only
when the whole group passes does a single SQLite transaction copy
all staging batches to the official tables and flip every
``publications`` row at once. Any member failure aborts the group:
the previous complete official version keeps serving and the reason
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)
results: dict[str, Any] = {}
staged: dict[str, dict[str, Any]] = {}
failure: str | None = None
pending: list[str] = []
missing_official = [dataset for dataset in datasets if self.active_batch(dataset, day) is None]
stocks_missing = include_stocks and self.active_batch(STOCKS_DATASET, day) is None
if not missing_official and not stocks_missing:
for dataset in datasets:
if self.active_batch(dataset, day) is not None:
results[dataset] = {
"dataset": dataset,
"trade_date": day,
"state": "skipped",
"reason": "already_published",
}
else:
pending.append(dataset)
if include_stocks:
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:
if failure is not None:
@@ -705,9 +742,11 @@ class Pipeline:
"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:
stocks_plan = self._stage_stocks_snapshot(day)
stocks_plan = self._stage_stocks_snapshot(day, force=bool(missing_official))
except Exception as exc:
failure = f"{STOCKS_DATASET}: {exc}"
results[STOCKS_DATASET] = {
@@ -820,18 +859,18 @@ class Pipeline:
"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.
Returns None when the published snapshot is already identical to
upstream (idempotent skip). The stock_master upsert is deferred into
the group switch transaction so the master never runs ahead of the
published snapshot.
upstream (idempotent skip) unless ``force`` is set. The stock_master
upsert is deferred into the group switch / publish transaction so the
master never runs ahead of the published snapshot.
"""
day = yyyymmdd(trade_date)
active, snapshot = self.published_stock_snapshot(day)
rows = self._fetch_dataset(STOCKS_DATASET, day)
if active is not None:
if active is not None and not force:
upstream = sorted(
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:
_staging_count_or_raise(connection, dataset, trade_date, 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:
self.before_commit()
_upsert_publication(connection, dataset, trade_date, batch_id, state, published_at)
xiaobai-datahub/tests/test_atomic_release.py
+88 -8
View File
@@ -21,14 +21,14 @@ class GroupTransport:
def __init__(self) -> None:
self.empty: set[str] = set()
self.keep_rows: dict[str, int] = {}
self.stocks: list[dict] = []
self.stocks: list[dict] | None = None
self.calls: list[str] = []
def __call__(self, api_name: str, params: dict, fields: str):
self.calls.append(api_name)
if api_name in self.empty:
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]
rows = fake_transport(api_name, params, fields)
keep = self.keep_rows.get(api_name)
@@ -113,19 +113,48 @@ class ReleaseGroupSwitchTests(unittest.TestCase):
first = self.pipe.run_dataset("daily", TRADE_DATE)
self.transport.empty = {"daily_basic"}
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")
# 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(
publications_map(self.db, TRADE_DATE),
{"daily": first["batch_id"]},
)
pubs = publications_map(self.db, TRADE_DATE)
self.assertEqual(pubs["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(
"/v1/bars/daily", {"date": [TRADE_DATE], "code": ["600000.SH"]}
)
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:
snapshots: list[dict] = []
@@ -231,5 +260,56 @@ class ReleaseGroupSwitchTests(unittest.TestCase):
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__":
unittest.main()