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
+78 -29
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())
rows = self._fetch_dataset(STOCKS_DATASET, day)
with self.db.write() as connection:
self._upsert_stock_master(connection, rows, isoformat(self.clock()))
try:
rows = self._fetch_dataset(STOCKS_DATASET, day)
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),
}
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(
"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] = []
for dataset in datasets:
if self.active_batch(dataset, day) is not None:
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:
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)