fix(HEL-461): 切换事务失败写入 release-group 审计日志

整组切换中断时除回滚与废弃批次外，同步记录
action=release-group 的失败审计，便于后台追踪。

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: multica-agent <github@multica.ai>

backend/bootstrap/runtime.py

@@ -1,11 +1,23 @@
 from __future__ import annotations
 
 import argparse
+import logging
 from http.server import ThreadingHTTPServer
 from typing import Any
 
 
+def configure_logging() -> None:
+    """让 INFO 级结构化日志（含 datahub 影子对比报告）落到容器日志。"""
+    if logging.getLogger().handlers:
+        return
+    logging.basicConfig(
+        level=logging.INFO,
+        format="%(asctime)s %(levelname)s %(name)s %(message)s",
+    )
+
+
 def main(handler_class: type[Any] | None = None, service: Any | None = None) -> None:
+    configure_logging()
     if handler_class is None or service is None:
         from backend.application import RequestHandler, SERVICE
 

backend/data/datahub/bridge.py

@@ -122,10 +122,12 @@ class DatahubBridge:
                 legacy_rows = legacy_query(api_name, params, fields)
             except Exception as exc:
                 if flags.read and hub_rows is not None and hub_error is None:
-                    self._emit_shadow(compare_rows(dataset, [], hub_canonical, hub_meta, self._error_text(exc)))
+                    self._emit_shadow(
+                        compare_rows(dataset, [], hub_canonical, hub_meta, self._error_text(exc), fields)
+                    )
                     return project_fields(hub_rows, fields)
                 raise
-            self._emit_shadow(compare_rows(dataset, legacy_rows, hub_canonical, hub_meta, hub_error))
+            self._emit_shadow(compare_rows(dataset, legacy_rows, hub_canonical, hub_meta, hub_error, fields))
             if flags.read and hub_rows is not None and hub_error is None:
                 return project_fields(hub_rows, fields)
             return legacy_rows
@@ -208,6 +210,10 @@ class DatahubBridge:
             raise DatahubError("STALE", f"{dataset} data is stale")
         if dataset in EMPTY_FAIL_DATASETS and not rows:
             raise DatahubError("EMPTY", f"{dataset} returned no rows")
+        coverage = meta.get("coverage") if isinstance(meta.get("coverage"), dict) else {}
+        if meta.get("incomplete") is True or coverage.get("complete") is False:
+            missing = coverage.get("missing_count")
+            raise DatahubError("INCOMPLETE", f"{dataset} range is incomplete missing={missing}")
 
     def _require_fresh(self, response: DatahubResponse, dataset: str) -> DatahubResponse:
         self._validate_usable(dataset, list(response.data or []) if isinstance(response.data, list) else [], response)

backend/data/datahub/compare.py

@@ -5,6 +5,7 @@ from typing import Any
 from backend.data.datahub.native import SCALE_FIELDS, row_key, to_canonical_row, yyyymmdd
 
 NUMERIC_TOLERANCE = 1e-4
+CANONICAL_ALIASES = {"volume": "vol"}
 
 
 def compare_rows(
@@ -13,8 +14,10 @@ def compare_rows(
     hub_rows: list[dict[str, Any]] | None,
     hub_meta: dict[str, Any] | None = None,
     hub_error: str | None = None,
+    fields: str = "",
 ) -> dict[str, Any]:
     hub = hub_rows or []
+    requested = _requested_fields(fields)
     legacy_map = {row_key(dataset, row): row for row in legacy_rows}
     hub_map = {row_key(dataset, _align_hub_row(row)): row for row in hub}
     missing_hub = sorted(key for key in legacy_map if key not in hub_map)
@@ -26,7 +29,7 @@ def compare_rows(
         hub_row = hub_map.get(key)
         if hub_row is None:
             continue
-        field_report = _compare_fields(dataset, legacy, hub_row)
+        field_report = _compare_fields(dataset, legacy, hub_row, requested)
         if field_report["unit_conversion"]:
             unit_conversion.append({"key": list(key), "fields": field_report["unit_conversion"]})
         if field_report["value_diff"]:
@@ -53,6 +56,7 @@ def compare_rows(
         "published_at": (hub_meta or {}).get("published_at"),
         "trade_date": yyyymmdd((hub_meta or {}).get("trade_date")),
         "hub_error": hub_error,
+        "fields_compared": sorted(requested) if requested is not None else None,
         "equal": (
             not hub_error
             and not missing_hub
@@ -71,13 +75,36 @@ def _align_hub_row(row: dict[str, Any]) -> dict[str, Any]:
     return aligned
 
 
-def _compare_fields(dataset: str, legacy: dict[str, Any], hub: dict[str, Any]) -> dict[str, list[dict[str, Any]]]:
+def _requested_fields(fields: str) -> list[str] | None:
+    """Fields the website actually asked for; None means "no projection"."""
+    keys = [item.strip() for item in str(fields or "").split(",") if item.strip()]
+    if not keys:
+        return None
+    seen: list[str] = []
+    for key in keys:
+        canonical = CANONICAL_ALIASES.get(key, key)
+        if canonical not in seen:
+            seen.append(canonical)
+    return seen
+
+
+def _compare_fields(
+    dataset: str,
+    legacy: dict[str, Any],
+    hub: dict[str, Any],
+    requested: list[str] | None = None,
+) -> dict[str, list[dict[str, Any]]]:
     canonical_legacy = to_canonical_row(dataset, legacy)
     hub_canonical = _hub_canonical(dataset, hub)
     native_hub = _align_hub_row(hub)
     value_diff: list[dict[str, Any]] = []
     unit_conversion: list[dict[str, Any]] = []
     keys = (set(canonical_legacy) | set(hub_canonical)) - {"batch_id", "updated_at", "volume"}
+    if requested is not None:
+        # Compare only what the website asked for. Extra hub columns are
+        # transport detail, not business differences; a requested field still
+        # alarms when it is missing or holds a different value.
+        keys = set(requested) - {"batch_id", "updated_at", "volume"}
     scales = SCALE_FIELDS.get(dataset) or {}
     for field in sorted(keys):
         left = canonical_legacy.get(field)

tests/test_bootstrap_runtime.py

@@ -0,0 +1,34 @@
+import logging
+import unittest
+
+from backend.bootstrap.runtime import configure_logging
+
+
+class ConfigureLoggingTest(unittest.TestCase):
+    def setUp(self) -> None:
+        self._saved_handlers = logging.getLogger().handlers[:]
+        self._saved_level = logging.getLogger().level
+        logging.getLogger().handlers.clear()
+
+    def tearDown(self) -> None:
+        logging.getLogger().handlers[:] = self._saved_handlers
+        logging.getLogger().setLevel(self._saved_level)
+
+    def test_configures_root_logger_at_info(self) -> None:
+        configure_logging()
+        root = logging.getLogger()
+        self.assertTrue(root.handlers)
+        self.assertEqual(root.level, logging.INFO)
+        with self.assertLogs("xiaobai.datahub", level="INFO") as captured:
+            logging.getLogger("xiaobai.datahub").info("datahub shadow %s", {"dataset": "daily"})
+        self.assertIn("datahub shadow", captured.output[0])
+
+    def test_keeps_existing_configuration(self) -> None:
+        handler = logging.NullHandler()
+        logging.getLogger().addHandler(handler)
+        configure_logging()
+        self.assertEqual(logging.getLogger().handlers, [handler])
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_datahub_bridge.py

@@ -126,7 +126,7 @@ class DatahubBridgeTests(unittest.TestCase):
         self.assertEqual(calendar[0]["is_open"], 1)
         self.assertEqual(calendar_client.paths, [])
 
-    def test_fallback_on_down_401_timeout_empty_unpublished_and_stale(self) -> None:
+    def test_fallback_on_down_401_timeout_empty_unpublished_stale_and_incomplete(self) -> None:
         cases = [
             DatahubError("UNAVAILABLE", "down"),
             DatahubError("UNAUTHORIZED", "401"),
@@ -134,6 +134,7 @@ class DatahubBridgeTests(unittest.TestCase):
             DatahubError("EMPTY", "no rows"),
             DatahubError("DATASET_NOT_PUBLISHED", "not ready"),
             DatahubError("STALE", "old"),
+            DatahubError("INCOMPLETE", "truncated"),
         ]
         for error in cases:
             with self.subTest(error=error.code):
@@ -144,6 +145,16 @@ class DatahubBridgeTests(unittest.TestCase):
                         data=[dict(HUB_DAILY)],
                         meta={"stale": True, "staleness_seconds": 999999},
                     ))
+                elif error.code == "INCOMPLETE":
+                    client = FakeClient(response=DatahubResponse(
+                        data=[dict(HUB_DAILY)],
+                        meta={
+                            "stale": False,
+                            "staleness_seconds": 0,
+                            "incomplete": True,
+                            "coverage": {"complete": False, "missing_count": 80},
+                        },
+                    ))
                 else:
                     client = FakeClient(error=error)
                 legacy = FakeLegacy([LEGACY_DAILY])
@@ -190,6 +201,87 @@ class DatahubBridgeTests(unittest.TestCase):
         skew = compare_rows("daily", [LEGACY_DAILY], [HUB_DAILY], {"stale": False, "staleness_seconds": 12})
         self.assertTrue(skew["time_skew"])
 
+    def test_shadow_extra_hub_columns_are_not_false_diffs_when_projected(self) -> None:
+        hub_full = {**HUB_DAILY, "adj_factor": 1.1}
+        legacy_close_only = {k: LEGACY_DAILY[k] for k in ("ts_code", "trade_date", "close")}
+        report = compare_rows(
+            "daily", [legacy_close_only], [hub_full],
+            {"stale": False, "staleness_seconds": 0},
+            fields="ts_code,trade_date,close",
+        )
+        self.assertTrue(report["equal"])
+        self.assertEqual(report["value_diff_count"], 0)
+        self.assertEqual(report["fields_compared"], ["close", "trade_date", "ts_code"])
+        # without projection the same pair shows the historic false diff
+        unprojected = compare_rows("daily", [legacy_close_only], [hub_full])
+        self.assertFalse(unprojected["equal"])
+
+        legacy_stocks = {"ts_code": "600000.SH", "name": "浦发银行"}
+        hub_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",
+        }
+        stocks = compare_rows("stocks", [legacy_stocks], [hub_stocks], {}, fields="ts_code,name")
+        self.assertTrue(stocks["equal"])
+
+        legacy_cal = {"cal_date": "20240902", "is_open": 1}
+        hub_cal = {
+            "cal_date": "20240902", "is_open": True,
+            "pretrade_date": "20240830", "prev_open": "20240830",
+        }
+        calendar = compare_rows(
+            "calendar", [legacy_cal], [hub_cal], {}, fields="cal_date,is_open"
+        )
+        self.assertTrue(calendar["equal"])
+
+    def test_shadow_projection_still_alarms_on_requested_field_problems(self) -> None:
+        hub_missing_field = {k: v for k, v in HUB_DAILY.items() if k != "close"}
+        legacy_close_only = {k: LEGACY_DAILY[k] for k in ("ts_code", "trade_date", "close")}
+        lost = compare_rows(
+            "daily", [legacy_close_only], [hub_missing_field], fields="ts_code,trade_date,close"
+        )
+        self.assertFalse(lost["equal"])
+        self.assertEqual(lost["value_diff_count"], 1)
+
+        changed = compare_rows(
+            "daily", [legacy_close_only], [{**HUB_DAILY, "close": 99.0}],
+            fields="ts_code,trade_date,close",
+        )
+        self.assertFalse(changed["equal"])
+        self.assertEqual(changed["value_diff_count"], 1)
+        self.assertEqual(changed["value_diffs"][0]["fields"][0]["field"], "close")
+
+        gone = compare_rows("daily", [LEGACY_DAILY], [], fields="ts_code,trade_date,close")
+        self.assertEqual(gone["missing_hub_count"], 1)
+        self.assertFalse(gone["equal"])
+
+        unit = compare_rows(
+            "daily", [LEGACY_DAILY], [{**HUB_DAILY, "amount": 2000.0, "volume": 1000.0}],
+            fields="ts_code,trade_date,vol,amount",
+        )
+        self.assertGreater(unit["unit_conversion_count"], 0)
+        self.assertFalse(unit["equal"])
+
+    def test_bridge_shadow_report_uses_website_request_fields(self) -> None:
+        hub_full = {**HUB_DAILY, "adj_factor": 1.1}
+        legacy_close_only = {k: LEGACY_DAILY[k] for k in ("ts_code", "trade_date", "close", "vol", "amount")}
+        reports: list[dict[str, Any]] = []
+        client = FakeClient(
+            response=DatahubResponse(
+                data=[hub_full],
+                meta={"tier": "official", "trade_date": "20240902", "stale": False, "staleness_seconds": 0},
+            )
+        )
+        wrapped = DatahubAwareTushareClient(
+            FakeLegacy([legacy_close_only]),
+            DatahubBridge(flags(daily=(False, True)), client, shadow_sink=reports.append),
+        )
+        rows = wrapped.query("daily", {"trade_date": "20240902"}, "ts_code,trade_date,close,vol,amount")
+        self.assertEqual(rows[0]["close"], 10.20)
+        self.assertEqual(rows[0]["vol"], 1000.0)
+        self.assertTrue(reports[0]["equal"])
+        self.assertEqual(reports[0]["matched"], 1)
+
     def test_native_roundtrip_matches_known_scales(self) -> None:
         native = to_native_row("daily", HUB_DAILY)
         self.assertEqual(native["vol"], 1000.0)
@@ -235,6 +327,27 @@ class DatahubBridgeTests(unittest.TestCase):
         self.assertIsInstance(client, DatahubAwareTushareClient)
         self.assertFalse(gateway.datahub.settings.any_enabled())
 
+    def test_stock_detail_range_query_is_not_silently_accepted_when_incomplete(self) -> None:
+        source = (ROOT / "backend" / "data" / "providers" / "tushare_stocks.py").read_text(encoding="utf-8")
+        self.assertIn('"daily"', source)
+        self.assertIn("start_date", source)
+        self.assertIn("end_date", source)
+        client = FakeClient(
+            response=DatahubResponse(
+                data=[dict(HUB_DAILY)],
+                meta={"stale": False, "staleness_seconds": 0, "incomplete": True, "coverage": {"complete": False, "missing_count": 89}},
+            )
+        )
+        legacy = FakeLegacy([LEGACY_DAILY])
+        wrapped = DatahubAwareTushareClient(legacy, DatahubBridge(flags(daily=(True, False)), client))
+        rows = wrapped.query(
+            "daily",
+            {"ts_code": "600000.SH", "start_date": "20240301", "end_date": "20240902"},
+            "ts_code,amount",
+        )
+        self.assertEqual(rows[0]["amount"], 2000.0)
+        self.assertEqual(len(legacy.calls), 1)
+
     def test_features_do_not_import_datahub_client(self) -> None:
         violations = []
         for path in (ROOT / "backend" / "features").rglob("*.py"):

xiaobai-datahub/README.md

@@ -63,6 +63,66 @@ python -m unittest discover -s tests -v
 
 不调用真实 Tushare；用内存/临时库和假适配器。
 
+## 历史回补
+
+交易日历默认从 `20160101` 拉到今天后 30 天；盘前 `precheck` 与手动回补都走同一 UPSERT，可重复执行。
+
+网站实际使用的指数（上证、深成、创业板、沪深300）按交易日增量发布，默认覆盖 260 个交易日（大于现有 90 天窗口，并覆盖智能选股基准回看）。已发布日期默认跳过。
+
+```bash
+cd xiaobai-datahub
+python -m datahub history-backfill
+# 可选：--calendar-start 20160101 --index-days 260 --force
+```
+
+管理后台也可手动跑 `history_backfill` 任务，或 `POST /admin/api/backfill` 且 `dataset=history`、确认词 `history:full`。
+
+区间接口在 `meta.coverage` / `meta.incomplete` 标明覆盖是否完整；网站只读接入把不完整区间视为不可用并回旧链路。个股日 K 的 90 天区间查询依赖已核实，本阶段不回补全市场历史。
+
+## 估值字段级质量门
+
+`hub-quality.config.json` 的 `field_gates` 按数据集配置关键字段：非空率下限（支持按字段覆盖，如 `dv_ttm` 合法高空值）、非有限值比例上限、以及相对上一已发布批次的非空率塌陷保护。字段大面积为空的批次会被拒绝发布、保留上一份正常正式数据，失败原因逐字段写入 `batches.error` / `quality_json`。被拒后数据集仍视为缺失，盘后自动重试（HEL-435 机制）会继续尝试直到成功或截止。配置对任意数据集生效，不写死单日或单字段。
+
+## 整批原子发布（release group）
+
+盘后发布/重发（eod_a、eod_retry、`eod-refresh`、跨数据集重发）不再逐数据集各自切换，而是走整批原子可见机制：
+
+- 一致性边界：日 K、估值、资金流、竞价同属 A 组整批；指数日 K 为 B 组；当日股票主档快照随 A 组一同切换（主档 `stock_master` 的 UPSERT 与快照发布同一事务，不会出现主档先行/滞后）。
+- 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：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
+
+交易日 20:00 与 23:10（`stocks_refresh_times` 可配）自动刷新股票主档并发布版本化快照（`eod_stocks` + `publications.dataset='stocks'`），覆盖当日新上市、证券简称变化和上市首日 N/C 前缀摘除；无变化则跳过，重复执行幂等。`/v1/stocks` 从最新已发布快照提供数据并带 `batch_id` / `published_at`；`/v1/datasets/status` 同步展示 stocks 状态。
+
+```bash
+cd xiaobai-datahub
+python -m datahub stocks-refresh            # 手动触发；--force 无变化也重发
+```
+
+## 资金流历史回补
+
+网站会沿真实调用链查最近若干交易日的 moneyflow（个股详情任意日期点查 + 智能选股最近 5 个交易日），默认回补最近 60 个交易日（`moneyflow_history_trading_days` 可配，已发布日期自动跳过）。点查未覆盖的历史日期返回 `DATASET_NOT_PUBLISHED` 并附 `available_from` / `available_to`（低于下界时 `reason=history_not_backfilled`），网站据此明确回退旧链路，不会静默拿到半截数据。
+
+```bash
+cd xiaobai-datahub
+python -m datahub moneyflow-backfill        # --trading-days 60 --end-date --force 可选
+```
+
+## 盘后补跑与强制重发
+
+```bash
+cd xiaobai-datahub
+python -m datahub eod-refresh --trade-date 20260904                  # 补不完整的 A/B 边界
+python -m datahub eod-refresh --trade-date 20260904 --force --dataset valuation
+# --force 按一致性边界整组重发：valuation/daily/moneyflow/auction/stocks → A 组；
+# index_daily → B 组。不可再单独切换某一个正式数据集。
+```
+
+管理后台「补数」对盘后正式数据集同样走 `force_republish_boundary`，不会绕过 A/B 整批边界。
+
 ## 备份
 
 每日 00:40 任务把 `datahub.db` 备份到 `data/backups/`（保留 14 份）。也可手动：

xiaobai-datahub/admin/app.js

@@ -104,11 +104,29 @@ async function render() {
   if (state.page === "overview") {
     const data = await api("/admin/api/overview");
     $("phase").textContent = data.session_phase;
+    const eod = data.eod_status || {};
+    const eodLabels = {
+      pending_first_attempt: "等待首次尝试",
+      waiting_upstream: "等待上游",
+      done: "已成功",
+      cutoff_failed: "已截止失败",
+      closed_day: "休市",
+    };
+    const eodExtra = [];
+    if (eod.state === "waiting_upstream") {
+      eodExtra.push(`已试 ${eod.attempts} 次`);
+      if (eod.next_retry_at) eodExtra.push(`下次重试 ${esc(String(eod.next_retry_at).replace("T", " ").slice(11, 16))}`);
+      if (eod.missing_datasets && eod.missing_datasets.length) eodExtra.push(`缺 ${esc(eod.missing_datasets.join(","))}`);
+    }
+    if (eod.state === "cutoff_failed" && eod.missing_datasets) {
+      eodExtra.push(`缺 ${esc(eod.missing_datasets.join(","))}`);
+    }
     page.innerHTML = `
       <div class="cards">
         <div class="card"><div class="muted">交易日</div><strong>${esc(data.trade_date)}</strong></div>
         <div class="card"><div class="muted">阶段</div><strong>${esc(data.session_phase)}</strong></div>
         <div class="card"><div class="muted">今日发布</div><strong>${data.publications.length}</strong></div>
+        <div class="card"><div class="muted">盘后补跑</div><strong>${esc(eodLabels[eod.state] || eod.state || "-")}</strong><div class="muted">${eodExtra.join(" · ")}</div></div>
         <div class="card"><div class="muted">异常批次</div><strong class="${data.anomalies.length ? "fail" : "ok"}">${data.anomalies.length}</strong></div>
       </div>
       <h2>最近调用</h2>
@@ -251,7 +269,7 @@ function renderRelease(data) {
 
 async function dangerous(kind, dataset) {
   const date = ($("rel-date") && $("rel-date").value) || "";
-  const ds = dataset || prompt("数据集（daily / valuation / moneyflow / auction / index_daily / reference）", "daily");
+  const ds = dataset || prompt("数据集（daily/valuation/moneyflow/auction/stocks→A组整批；index_daily→B组；或 reference）", "daily");
   if (!ds) return;
   const password = prompt("二次确认：输入管理密码");
   if (!password) return;

xiaobai-datahub/config/hub-quality.config.json

@@ -11,5 +11,48 @@
   "publication_generations": 3,
   "tushare_rate_per_minute": 300,
   "list_limit_default": 5000,
-  "list_limit_max": 5000
+  "list_limit_max": 5000,
+  "calendar_start": "20160101",
+  "index_history_trading_days": 260,
+  "eod_retry_start": "15:15",
+  "eod_retry_interval_minutes": 30,
+  "eod_retry_cutoff": "23:30",
+  "moneyflow_history_trading_days": 60,
+  "stocks_refresh_times": [
+    "20:00",
+    "23:10"
+  ],
+  "cross_gates": [
+    {
+      "left": "daily",
+      "right": "valuation",
+      "min_key_overlap": 0.98
+    },
+    {
+      "left": "daily",
+      "right": "moneyflow",
+      "min_key_overlap": 0.98
+    }
+  ],
+  "field_gates": {
+    "valuation": {
+      "fields": [
+        "turnover_rate",
+        "volume_ratio",
+        "total_mv",
+        "circ_mv",
+        "pe_ttm",
+        "pb",
+        "ps_ttm",
+        "dv_ttm"
+      ],
+      "min_nonnull_rate": 0.9,
+      "min_nonnull_rate_by_field": {
+        "pe_ttm": 0.5,
+        "dv_ttm": 0.3
+      },
+      "max_nonnull_drop_vs_prev": 0.15,
+      "max_nonfinite_rate": 0.01
+    }
+  }
 }

xiaobai-datahub/datahub/__main__.py

@@ -0,0 +1,4 @@
+from datahub.cli import main
+
+if __name__ == "__main__":
+    raise SystemExit(main())

xiaobai-datahub/datahub/adapters/tushare.py

@@ -44,7 +44,10 @@ DATASET_API = {
     "auction": "stk_auction",
 }
 
-DEFAULT_INDEX_CODES = ("000001.SH", "399001.SZ", "399006.SZ", "000300.SH")
+# Website actual index usage: market cards / 90-day charts (SH/SZ/CYB) plus
+# screener 沪深300 benchmark (lookback up to 260 trading days).
+WEBSITE_INDEX_CODES = ("000001.SH", "399001.SZ", "399006.SZ", "000300.SH")
+DEFAULT_INDEX_CODES = WEBSITE_INDEX_CODES
 
 
 class TushareAdapter(MarketAdapter):

xiaobai-datahub/datahub/admin_api.py

@@ -6,7 +6,7 @@ from typing import Any
 from datahub.adapters import RESERVED
 from datahub.auth import AuthService
 from datahub.db import HubDB
-from datahub.pipeline import Pipeline
+from datahub.pipeline import OFFICIAL_DATASETS, STOCKS_DATASET, Pipeline
 from datahub.scheduler import Scheduler
 from datahub.serving import ApiError
 from datahub.timeutil import isoformat, now_shanghai, session_phase, yyyymmdd
@@ -38,6 +38,7 @@ class AdminAPI:
             "trade_date": today,
             "session_phase": session_phase(now_shanghai(), is_open),
             "is_open_day": is_open,
+            "eod_status": self.scheduler.eod_status(today),
             "publications": pubs,
             "anomalies": failed,
             "recent_calls": _public_calls(calls),
@@ -83,11 +84,15 @@ class AdminAPI:
 
     def jobs(self) -> dict[str, Any]:
         runs = self.db.fetchall("SELECT * FROM job_runs ORDER BY id DESC LIMIT 100")
+        stocks_times = "/".join(self.pipeline.settings.stocks_refresh_times) or "20:00"
         return {
             "jobs": [
                 {"id": "precheck", "at": "08:45", "title": "盘前预检"},
                 {"id": "eod_a", "at": "15:05", "title": "盘后批 A daily/valuation/moneyflow/auction"},
                 {"id": "eod_b", "at": "15:10", "title": "盘后批 B index_daily"},
+                {"id": "eod_retry", "at": "15:15-23:30", "title": "盘后未出数自动重试（每 30 分钟，成功即停）"},
+                {"id": "stocks_refresh", "at": stocks_times, "title": "股票主档刷新与正式发布（新上市/更名，无变化跳过）"},
+                {"id": "history_backfill", "at": "manual", "title": "回补历史日历与指数日 K"},
                 {"id": "cleanup", "at": "00:30", "title": "清理 staging / 日志"},
                 {"id": "backup", "at": "00:40", "title": "SQLite 备份"},
             ],
@@ -130,12 +135,31 @@ class AdminAPI:
         return result
 
     def backfill(self, dataset: str, trade_date: str, password: str, confirm: str, actor: str) -> dict[str, Any]:
-        self._dangerous(password, confirm, f"{dataset}:{trade_date}")
-        if dataset == "reference":
-            result = self.pipeline.ingest_reference(trade_date)
+        day = yyyymmdd(trade_date or now_shanghai())
+        if dataset == "history":
+            self._dangerous(password, confirm, "history:full")
+            result = self.pipeline.backfill_history(day)
         else:
-            result = self.pipeline.run_dataset(dataset, trade_date)
-        self.pipeline.audit(actor, "backfill", f"{dataset}:{trade_date}", json.dumps({"ok": True}))
+            self._dangerous(password, confirm, f"{dataset}:{day}")
+            if dataset == "reference":
+                result = self.pipeline.ingest_reference(day)
+            elif dataset in OFFICIAL_DATASETS or dataset == STOCKS_DATASET:
+                # Manual same-day republish must rebuild the full A/B boundary.
+                # Gate failures and mid-switch exceptions both surface as
+                # FAILED_PRECONDITION so the admin API never leaks raw
+                # transaction errors to the client.
+                try:
+                    result = self.pipeline.force_republish_boundary(dataset, day)
+                    failures = self.pipeline.eod_failures(result)
+                    if failures:
+                        raise ApiError("FAILED_PRECONDITION", "; ".join(failures))
+                except ApiError:
+                    raise
+                except Exception as exc:
+                    raise ApiError("FAILED_PRECONDITION", str(exc)) from exc
+            else:
+                raise ApiError("INVALID_ARGUMENT", f"unsupported backfill dataset: {dataset}")
+        self.pipeline.audit(actor, "backfill", f"{dataset}:{day}", json.dumps({"ok": True}))
         return result
 
     def _dangerous(self, password: str, confirm: str, expected: str) -> None:

xiaobai-datahub/datahub/cli.py

@@ -0,0 +1,112 @@
+"""Command-line entry for one-shot datahub operations."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import sys
+
+from datahub.hub import build_hub
+from datahub.pipeline import EOD_A_DATASETS, OFFICIAL_DATASETS, STOCKS_DATASET
+from datahub.settings import load_settings
+from datahub.timeutil import yyyymmdd
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(description="xiaobai-datahub CLI")
+    sub = parser.add_subparsers(dest="command", required=True)
+    history = sub.add_parser("history-backfill", help="回补 2016 年起交易日历和网站所用指数日 K")
+    history.add_argument("--calendar-start", default=None, help="日历起点，默认配置 calendar_start")
+    history.add_argument("--index-days", type=int, default=None, help="指数回补交易日数量，默认 260")
+    history.add_argument("--force", action="store_true", help="覆盖已发布的指数日期")
+    refresh = sub.add_parser("eod-refresh", help="对指定交易日补跑盘后正式数据（跳过已完整发布的一致性边界，仍走质量门禁）")
+    refresh.add_argument("--trade-date", default=None, help="交易日 YYYYMMDD，默认今天")
+    refresh.add_argument(
+        "--force", action="store_true",
+        help="强制重发 --dataset 所属的完整一致性边界（A 组或 B 组），生成新批次并保留上一批次可回滚",
+    )
+    refresh.add_argument(
+        "--dataset", default=None,
+        help="配合 --force：指定边界内任一成员（如 valuation→整组 A；index_daily→整组 B）",
+    )
+    stocks_refresh = sub.add_parser("stocks-refresh", help="刷新股票主档并发布正式快照（幂等：无变化则跳过）")
+    stocks_refresh.add_argument("--trade-date", default=None, help="交易日 YYYYMMDD，默认今天")
+    stocks_refresh.add_argument("--force", action="store_true", help="即使快照无变化也重新发布")
+    moneyflow_backfill = sub.add_parser(
+        "moneyflow-backfill", help="回补资金流历史（默认覆盖网站所需的最近 N 个交易日，跳过已发布日期）",
+    )
+    moneyflow_backfill.add_argument("--end-date", default=None, help="截止交易日 YYYYMMDD，默认今天")
+    moneyflow_backfill.add_argument("--trading-days", type=int, default=None, help="回补交易日数量，默认配置 moneyflow_history_trading_days")
+    moneyflow_backfill.add_argument("--force", action="store_true", help="覆盖已发布的资金流日期")
+    args = parser.parse_args(argv)
+
+    settings = load_settings()
+    hub = build_hub(settings)
+    if args.command == "history-backfill":
+        result = hub.pipeline.backfill_history(
+            calendar_start=args.calendar_start,
+            index_days=args.index_days,
+            force=args.force,
+        )
+        json.dump(result, sys.stdout, ensure_ascii=False, indent=2, default=str)
+        sys.stdout.write("\n")
+        return 0 if result.get("ok") else 1
+    if args.command == "eod-refresh":
+        day = yyyymmdd(args.trade_date) if args.trade_date else yyyymmdd()
+        if args.force:
+            allowed = set(OFFICIAL_DATASETS) | {STOCKS_DATASET}
+            if not args.dataset:
+                parser.error("--force requires --dataset (e.g. --dataset valuation)")
+            if args.dataset not in allowed:
+                parser.error(f"unknown dataset: {args.dataset}")
+            result = hub.pipeline.force_republish_boundary(args.dataset, day)
+            boundary = "A" if args.dataset in EOD_A_DATASETS or args.dataset == STOCKS_DATASET else "B"
+        else:
+            result = hub.pipeline.run_eod_missing(day)
+            boundary = None
+        hub.pipeline.audit("cli", "eod-refresh", f"eod:{day}", json.dumps(
+            {"force": bool(args.force), "dataset": args.dataset, "boundary": boundary,
+             **{name: item.get("state") for name, item in result.items() if isinstance(item, dict)}},
+            ensure_ascii=False,
+        ))
+        if args.force:
+            failures = hub.pipeline.eod_failures(result)
+            payload = {"trade_date": day, "boundary": boundary, "datasets": result}
+            json.dump(payload, sys.stdout, ensure_ascii=False, indent=2, default=str)
+            sys.stdout.write("\n")
+            return 0 if not failures else 1
+        missing = hub.pipeline.missing_official_datasets(day)
+        payload = {"trade_date": day, "datasets": result, "missing_after": missing}
+        json.dump(payload, sys.stdout, ensure_ascii=False, indent=2, default=str)
+        sys.stdout.write("\n")
+        return 0 if not missing else 1
+    if args.command == "stocks-refresh":
+        day = yyyymmdd(args.trade_date) if args.trade_date else yyyymmdd()
+        result = hub.pipeline.refresh_stocks(day, force=args.force)
+        hub.pipeline.audit("cli", "stocks-refresh", f"stocks:{day}", json.dumps(
+            {"force": bool(args.force), "state": result.get("state"), "batch_id": result.get("batch_id")},
+            ensure_ascii=False,
+        ))
+        json.dump(result, sys.stdout, ensure_ascii=False, indent=2, default=str)
+        sys.stdout.write("\n")
+        return 0 if result.get("state") != "failed" else 1
+    if args.command == "moneyflow-backfill":
+        result = hub.pipeline.backfill_moneyflow_history(
+            end_date=args.end_date,
+            trading_days=args.trading_days,
+            force=args.force,
+        )
+        hub.pipeline.audit("cli", "moneyflow-backfill", f"moneyflow:{result.get('end')}", json.dumps(
+            {"published": len(result.get("published") or []), "skipped": len(result.get("skipped") or []),
+             "failed": len(result.get("failed") or [])},
+            ensure_ascii=False,
+        ))
+        json.dump(result, sys.stdout, ensure_ascii=False, indent=2, default=str)
+        sys.stdout.write("\n")
+        return 0 if result.get("ok") else 1
+    parser.error(f"unknown command: {args.command}")
+    return 2
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

xiaobai-datahub/datahub/coverage.py

@@ -0,0 +1,130 @@
+from __future__ import annotations
+
+from typing import Any, Iterable
+
+from datahub.db import HubDB
+from datahub.timeutil import iter_yyyymmdd, yyyymmdd
+
+MISSING_SAMPLE_LIMIT = 10
+
+
+def coverage_payload(
+    *,
+    kind: str,
+    start: str,
+    end: str,
+    expected: Iterable[str],
+    available: Iterable[str],
+    extra: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    start = yyyymmdd(start)
+    end = yyyymmdd(end)
+    expected_list = sorted({yyyymmdd(item) for item in expected if item})
+    available_set = {yyyymmdd(item) for item in available if item}
+    missing = [item for item in expected_list if item not in available_set]
+    payload: dict[str, Any] = {
+        "kind": kind,
+        "complete": not missing,
+        "requested_from": start,
+        "requested_to": end,
+        "available_from": min(available_set) if available_set else None,
+        "available_to": max(available_set) if available_set else None,
+        "expected_count": len(expected_list),
+        "available_count": len(available_set),
+        "missing_count": len(missing),
+        "missing_sample": missing[:MISSING_SAMPLE_LIMIT],
+    }
+    if extra:
+        payload.update(extra)
+    return payload
+
+
+def calendar_coverage(db: HubDB, start: str, end: str, exchange: str = "SSE") -> dict[str, Any]:
+    start = yyyymmdd(start)
+    end = yyyymmdd(end)
+    expected = list(iter_yyyymmdd(start, end))
+    rows = db.fetchall(
+        "SELECT cal_date FROM trade_calendar WHERE exchange = ? AND cal_date >= ? AND cal_date <= ?",
+        (exchange, start, end),
+    )
+    return coverage_payload(
+        kind="calendar",
+        start=start,
+        end=end,
+        expected=expected,
+        available=(row["cal_date"] for row in rows),
+        extra={"exchange": exchange},
+    )
+
+
+def published_range_coverage(
+    db: HubDB,
+    dataset: str,
+    start: str,
+    end: str,
+    ts_code: str = "",
+    table: str = "",
+) -> dict[str, Any]:
+    start = yyyymmdd(start)
+    end = yyyymmdd(end)
+    calendar = calendar_coverage(db, start, end)
+    open_rows = db.fetchall(
+        """
+        SELECT cal_date FROM trade_calendar
+        WHERE exchange = 'SSE' AND is_open = 1 AND cal_date >= ? AND cal_date <= ?
+        ORDER BY cal_date
+        """,
+        (start, end),
+    )
+    expected_open = [row["cal_date"] for row in open_rows]
+    pubs = db.fetchall(
+        """
+        SELECT trade_date, active_batch FROM publications
+        WHERE dataset = ? AND trade_date >= ? AND trade_date <= ?
+        ORDER BY trade_date
+        """,
+        (dataset, start, end),
+    )
+    published_dates = [row["trade_date"] for row in pubs]
+    available = list(published_dates)
+    extra: dict[str, Any] = {
+        "dataset": dataset,
+        "calendar_complete": calendar["complete"],
+        "calendar_missing_count": calendar["missing_count"],
+    }
+    if ts_code and table and pubs:
+        present_code: list[str] = []
+        for pub in pubs:
+            hit = db.fetchone(
+                f"SELECT 1 AS ok FROM {table} WHERE trade_date = ? AND batch_id = ? AND ts_code = ? LIMIT 1",
+                (pub["trade_date"], pub["active_batch"], ts_code),
+            )
+            if hit:
+                present_code.append(pub["trade_date"])
+        available = present_code
+        extra["code"] = ts_code
+    payload = coverage_payload(
+        kind="published_range",
+        start=start,
+        end=end,
+        expected=expected_open,
+        available=available,
+        extra=extra,
+    )
+    if not calendar["complete"]:
+        payload["complete"] = False
+        payload["calendar_missing_sample"] = calendar["missing_sample"]
+    return payload
+
+
+def point_coverage(trade_date: str, dataset: str = "") -> dict[str, Any]:
+    day = yyyymmdd(trade_date)
+    payload = coverage_payload(
+        kind="point",
+        start=day,
+        end=day,
+        expected=[day],
+        available=[day],
+        extra={"dataset": dataset} if dataset else None,
+    )
+    return payload

xiaobai-datahub/datahub/db.py

@@ -114,6 +114,21 @@ CREATE TABLE IF NOT EXISTS eod_index_bars (
   PRIMARY KEY (ts_code, trade_date, batch_id)
 ) WITHOUT ROWID;
 
+CREATE TABLE IF NOT EXISTS eod_stocks (
+  ts_code TEXT NOT NULL, trade_date TEXT NOT NULL,
+  symbol TEXT, name TEXT, area TEXT, industry TEXT, market TEXT,
+  list_status TEXT, list_date TEXT,
+  batch_id TEXT NOT NULL,
+  PRIMARY KEY (ts_code, trade_date, batch_id)
+) WITHOUT ROWID;
+
+CREATE TABLE IF NOT EXISTS staging_stocks (
+  ts_code TEXT NOT NULL, trade_date TEXT NOT NULL, batch_id TEXT NOT NULL,
+  symbol TEXT, name TEXT, area TEXT, industry TEXT, market TEXT,
+  list_status TEXT, list_date TEXT,
+  PRIMARY KEY (batch_id, ts_code, trade_date)
+);
+
 CREATE TABLE IF NOT EXISTS staging_bars (
   ts_code TEXT NOT NULL, trade_date TEXT NOT NULL, batch_id TEXT NOT NULL,
   open REAL, high REAL, low REAL, close REAL, pct_chg REAL,
@@ -212,6 +227,17 @@ CREATE TABLE IF NOT EXISTS job_runs (
   detail TEXT
 );
 
+CREATE TABLE IF NOT EXISTS eod_progress (
+  trade_date TEXT PRIMARY KEY,
+  state TEXT NOT NULL,
+  attempts INTEGER NOT NULL DEFAULT 0,
+  last_attempt_at TEXT,
+  next_retry_at TEXT,
+  finished_at TEXT,
+  detail TEXT,
+  updated_at TEXT NOT NULL
+);
+
 CREATE TABLE IF NOT EXISTS audit_log (
   id INTEGER PRIMARY KEY AUTOINCREMENT,
   actor TEXT NOT NULL,
@@ -262,6 +288,7 @@ DATASET_TABLES = {
     "moneyflow": ("eod_moneyflow", "staging_moneyflow"),
     "auction": ("eod_auction", "staging_auction"),
     "index_daily": ("eod_index_bars", "staging_index_bars"),
+    "stocks": ("eod_stocks", "staging_stocks"),
 }
 
 

xiaobai-datahub/datahub/scheduler.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 import threading
 from collections.abc import Callable
-from datetime import datetime, time
+from datetime import datetime, time, timedelta
 from typing import Any
 
 from datahub.db import HubDB
@@ -14,6 +14,8 @@ LOGGER = get_logger()
 
 JobFn = Callable[[str], Any]
 
+EOD_JOB_IDS = {"eod_a", "eod_b", "eod_retry"}
+
 
 def is_open_day(db: HubDB, day: str) -> bool:
     row = db.fetchone(
@@ -25,8 +27,19 @@ def is_open_day(db: HubDB, day: str) -> bool:
     return int(row["is_open"]) == 1
 
 
+def _hhmm(value: str) -> time:
+    return datetime.strptime(value, "%H:%M").time()
+
+
 class Scheduler:
-    """Calendar-driven in-process scheduler. Non-trading days skip EOD fetches."""
+    """Calendar-driven in-process scheduler. Non-trading days skip EOD fetches.
+
+    EOD datasets that failed to publish (e.g. upstream not ready at 15:05)
+    are retried automatically every ``eod_retry_interval_minutes`` between
+    ``eod_retry_start`` and ``eod_retry_cutoff``. Progress is persisted in
+    ``eod_progress`` so a container restart catches up instead of waiting
+    for the next day, and completed days are never re-fetched.
+    """
 
     def __init__(self, db: HubDB, pipeline: Pipeline, jobs: dict[str, JobFn] | None = None) -> None:
         self.db = db
@@ -35,12 +48,16 @@ class Scheduler:
             "precheck": self._precheck,
             "eod_a": self._eod_a,
             "eod_b": self._eod_b,
+            "eod_retry": self._eod_retry,
+            "stocks_refresh": self._stocks_refresh,
             "cleanup": self._cleanup,
             "backup": self._backup,
+            "history_backfill": self._history_backfill,
         }
         self._stop = threading.Event()
         self._thread: threading.Thread | None = None
         self._fired: set[tuple[str, str, str]] = set()
+        self._eod_lock = threading.Lock()
 
     def start(self, interval_seconds: float = 30.0) -> None:
         if self._thread and self._thread.is_alive():
@@ -62,9 +79,9 @@ class Scheduler:
             self._thread.join(timeout)
 
     def tick(self, clock: datetime | None = None) -> list[str]:
-        now = clock or now_shanghai()
+        now = now_shanghai(clock)
         day = yyyymmdd(now)
-        current = now.timetz() if False else now.time()
+        current = now.time()
         ran: list[str] = []
         plan = [
             ("precheck", time(8, 45)),
@@ -73,6 +90,8 @@ class Scheduler:
             ("cleanup", time(0, 30)),
             ("backup", time(0, 40)),
         ]
+        for refresh_at in self.pipeline.settings.stocks_refresh_times:
+            plan.append(("stocks_refresh", _hhmm(refresh_at)))
         open_day = is_open_day(self.db, day)
         for job_id, at in plan:
             if current < at:
@@ -80,18 +99,187 @@ class Scheduler:
             key = (job_id, day, at.strftime("%H%M"))
             if key in self._fired:
                 continue
-            if job_id in {"eod_a", "eod_b"} and not open_day:
+            if job_id in {"eod_a", "eod_b", "stocks_refresh"} and not open_day:
                 self._fired.add(key)
                 continue
             self._fired.add(key)
-            self.run_job(job_id, day)
+            if job_id in {"eod_a", "eod_b"}:
+                # Record the attempt before running: even a crash must not
+                # hide that today's first EOD try already happened.
+                self._record_eod_attempt(day, now)
+            try:
+                self.run_job(job_id, day)
+            except Exception:
+                if job_id not in {"eod_a", "eod_b", "stocks_refresh"}:
+                    raise
+                # Keep the tick alive; evening retries take over.
+                LOGGER.exception("scheduled job %s failed for %s", job_id, day)
             ran.append(job_id)
+            if job_id in {"eod_a", "eod_b"}:
+                self._settle_eod(day)
+        ran.extend(self._eod_retry_tick(now, day, open_day))
         return ran
 
+    # ------------------------------------------------------------------
+    # EOD retry window
+    # ------------------------------------------------------------------
+
+    def _eod_retry_tick(self, now: datetime, day: str, open_day: bool) -> list[str]:
+        if not open_day:
+            return []
+        settings = self.pipeline.settings
+        current = now.time()
+        start = _hhmm(settings.eod_retry_start)
+        cutoff = _hhmm(settings.eod_retry_cutoff)
+        interval = timedelta(minutes=settings.eod_retry_interval_minutes)
+        missing = self.pipeline.missing_official_datasets(day)
+        row = self.eod_progress(day)
+
+        if not missing:
+            if row is None or row["state"] != "done":
+                self._save_eod_progress(day, state="done", finished_at=isoformat(now))
+            return []
+        if current < start:
+            return []
+        if row and row["state"] == "cutoff_failed":
+            return []
+        if current >= cutoff:
+            detail = "截止时间已到，缺失数据集: " + ",".join(missing)
+            self._save_eod_progress(day, state="cutoff_failed", finished_at=isoformat(now), detail=detail)
+            with self.db.write() as connection:
+                connection.execute(
+                    "INSERT INTO job_runs(job_id, state, started_at, finished_at, error, attempt, detail)"
+                    " VALUES ('eod_retry','failed',?,?,?,?,?)",
+                    (isoformat(now), isoformat(now), detail, int((row or {}).get("attempts") or 0), "eod cutoff reached"),
+                )
+            LOGGER.warning(
+                "eod retry window closed without data",
+                extra={"hub": {"trade_date": day, "missing": missing, "reason": "eod_cutoff"}},
+            )
+            return []
+        last = None
+        if row and row["last_attempt_at"]:
+            try:
+                last = datetime.fromisoformat(str(row["last_attempt_at"]))
+            except ValueError:
+                last = None
+        if last is not None and now_shanghai(last).replace(tzinfo=None) + interval > now.replace(tzinfo=None):
+            return []
+        if "eod_retry" not in self.jobs:
+            return []
+        self._record_eod_attempt(day, now)
+        ran = []
+        try:
+            self.run_job("eod_retry", day)
+        except Exception:
+            # job_runs already carries the failure; the window keeps retrying.
+            LOGGER.warning("eod retry failed for %s", day, exc_info=True)
+        ran.append("eod_retry")
+        self._settle_eod(day)
+        return ran
+
+    def _settle_eod(self, day: str) -> None:
+        """Flip the day to done as soon as every official dataset is published."""
+        if not self.pipeline.missing_official_datasets(day):
+            row = self.eod_progress(day)
+            if row is None or row["state"] != "done":
+                self._save_eod_progress(day, state="done", finished_at=isoformat())
+
+    def eod_progress(self, day: str) -> dict[str, Any] | None:
+        return self.db.fetchone("SELECT * FROM eod_progress WHERE trade_date = ?", (day,))
+
+    def eod_status(self, trade_date: str | None = None, clock: datetime | None = None) -> dict[str, Any]:
+        """Human/admin facing view: 等待上游 / 下次重试 / 已成功 / 已截止失败."""
+        day = yyyymmdd(trade_date or now_shanghai(clock))
+        now = now_shanghai(clock)
+        row = self.eod_progress(day)
+        open_day = is_open_day(self.db, day)
+        missing = self.pipeline.missing_official_datasets(day)
+        if row and row["state"] == "done":
+            state = "done"
+        elif not open_day:
+            state = "closed_day"
+        elif not missing:
+            state = "done"
+        elif row and row["state"] == "cutoff_failed":
+            state = "cutoff_failed"
+        elif now.time() < _hhmm("15:05"):
+            state = "pending_first_attempt"
+        else:
+            state = "waiting_upstream"
+        return {
+            "trade_date": day,
+            "is_open_day": open_day,
+            "state": state,
+            "missing_datasets": missing,
+            "attempts": int((row or {}).get("attempts") or 0),
+            "last_attempt_at": (row or {}).get("last_attempt_at"),
+            "next_retry_at": (row or {}).get("next_retry_at") if state == "waiting_upstream" else None,
+            "finished_at": (row or {}).get("finished_at"),
+            "detail": (row or {}).get("detail"),
+        }
+
+    def _record_eod_attempt(self, day: str, now: datetime) -> None:
+        row = self.eod_progress(day)
+        attempts = int((row or {}).get("attempts") or 0) + 1
+        interval = self.pipeline.settings.eod_retry_interval_minutes
+        self._save_eod_progress(
+            day,
+            state="waiting_upstream",
+            attempts=attempts,
+            last_attempt_at=isoformat(now),
+            next_retry_at=isoformat(now + timedelta(minutes=interval)),
+        )
+
+    def _save_eod_progress(self, day: str, **fields: Any) -> None:
+        columns = [
+            "trade_date", "state", "attempts", "last_attempt_at",
+            "next_retry_at", "finished_at", "detail", "updated_at",
+        ]
+        with self.db.write() as connection:
+            existing = connection.execute(
+                "SELECT trade_date FROM eod_progress WHERE trade_date = ?",
+                (day,),
+            ).fetchone()
+            if existing is None:
+                payload = {name: None for name in columns}
+                payload.update({"trade_date": day, "state": "waiting_upstream", "attempts": 0})
+                payload.update(fields)
+                payload["updated_at"] = isoformat()
+                placeholders = ",".join("?" for _ in columns)
+                connection.execute(
+                    f"INSERT INTO eod_progress({','.join(columns)}) VALUES ({placeholders})",
+                    tuple(payload[name] for name in columns),
+                )
+            else:
+                assignments = ", ".join(f"{name} = ?" for name in fields)
+                connection.execute(
+                    f"UPDATE eod_progress SET {assignments}, updated_at = ? WHERE trade_date = ?",
+                    (*fields.values(), isoformat(), day),
+                )
+
+    # ------------------------------------------------------------------
+    # Job execution
+    # ------------------------------------------------------------------
+
     def run_job(self, job_id: str, trade_date: str) -> dict[str, Any]:
         fn = self.jobs.get(job_id)
         if fn is None:
             raise KeyError(job_id)
+        if job_id in EOD_JOB_IDS:
+            if not self._eod_lock.acquire(blocking=False):
+                return {
+                    "job_id": job_id,
+                    "state": "skipped",
+                    "detail": "another EOD job is already running",
+                }
+            try:
+                return self._run_job(fn, job_id, trade_date)
+            finally:
+                self._eod_lock.release()
+        return self._run_job(fn, job_id, trade_date)
+
+    def _run_job(self, fn: JobFn, job_id: str, trade_date: str) -> dict[str, Any]:
         started = isoformat()
         run_id = None
         with self.db.write() as connection:
@@ -102,6 +290,10 @@ class Scheduler:
             run_id = cur.lastrowid
         try:
             result = fn(trade_date) or {}
+            if isinstance(result, dict):
+                failures = self.pipeline.eod_failures(result) if job_id in EOD_JOB_IDS else []
+                if failures:
+                    raise RuntimeError("; ".join(failures))
             with self.db.write() as connection:
                 connection.execute(
                     "UPDATE job_runs SET state=?, finished_at=?, rows_out=?, detail=? WHERE id=?",
@@ -125,6 +317,15 @@ class Scheduler:
     def _eod_b(self, trade_date: str) -> dict[str, Any]:
         return self.pipeline.run_eod_batch_b(trade_date)
 
+    def _eod_retry(self, trade_date: str) -> dict[str, Any]:
+        return self.pipeline.run_eod_missing(trade_date)
+
+    def _stocks_refresh(self, trade_date: str) -> dict[str, Any]:
+        return self.pipeline.refresh_stocks(trade_date)
+
+    def _history_backfill(self, trade_date: str) -> dict[str, Any]:
+        return self.pipeline.backfill_history(trade_date)
+
     def _cleanup(self, trade_date: str) -> dict[str, Any]:
         result = self.pipeline.cleanup()
         if now_shanghai().weekday() == 6:

xiaobai-datahub/datahub/serving.py

@@ -6,6 +6,7 @@ from urllib.parse import parse_qs
 
 from datahub import SCHEMA_VERSION
 from datahub.codes import resolve_code
+from datahub.coverage import calendar_coverage, point_coverage, published_range_coverage
 from datahub.db import HubDB
 from datahub.normalize import qfq_bar
 from datahub.numbers import finite_number
@@ -129,10 +130,34 @@ class V1API:
             }
             for row in rows
         ]
-        return envelope(items, self._official_meta("calendar", end if items else start, source="tushare:trade_cal"))
+        meta = self._official_meta("calendar", end if items else start, source="tushare:trade_cal")
+        return envelope(items, attach_coverage(meta, calendar_coverage(self.db, start, end)))
 
     def stocks(self, updated_since: str, q: dict[str, str]) -> dict[str, Any]:
         limit, offset = self._page(q)
+        today = yyyymmdd(now_shanghai())
+        batch_id, snapshot = self.pipeline.published_stock_snapshot(today)
+        if batch_id:
+            # Formal view: the latest published stock snapshot, with batch
+            # metadata. Filters are applied in-memory on the snapshot.
+            pub = self.pipeline.latest_stocks_publication(today) or {}
+            rows = snapshot
+            if updated_since:
+                rows = []
+            rows = rows[offset: offset + limit]
+            return envelope(
+                rows,
+                {
+                    "tier": "official",
+                    "trade_date": pub.get("trade_date"),
+                    "published_at": pub.get("published_at"),
+                    "source": "tushare:stock_basic",
+                    "batch_id": batch_id,
+                    "stale": False,
+                    "staleness_seconds": 0,
+                    "state": pub.get("state"),
+                },
+            )
         if updated_since:
             rows = self.db.fetchall(
                 "SELECT * FROM stock_master WHERE updated_at >= ? ORDER BY ts_code LIMIT ? OFFSET ?",
@@ -174,7 +199,7 @@ class V1API:
 
     def dataset_status(self, date: str) -> dict[str, Any]:
         trade_date = yyyymmdd(date or now_shanghai())
-        datasets = ("daily", "valuation", "moneyflow", "auction", "index_daily")
+        datasets = ("daily", "valuation", "moneyflow", "auction", "index_daily", "stocks")
         items = []
         for dataset in datasets:
             pub = self.db.fetchone(
@@ -249,7 +274,7 @@ class V1API:
                 raise ApiError(
                     "DATASET_NOT_PUBLISHED",
                     f"{dataset} {start} 尚未发布",
-                    extra={"expected_at": "15:05+08:00"},
+                    extra=self._unpublished_extra(dataset, start),
                 )
             limit, offset = self._page(q)
             sql = f"SELECT * FROM {table} WHERE trade_date = ? AND batch_id = ?"
@@ -272,14 +297,18 @@ class V1API:
                 "staleness_seconds": 0,
                 "state": pub["state"],
             }
-            return envelope(rows, meta)
+            return envelope(rows, attach_coverage(meta, point_coverage(start, dataset)))
         # multi-day: walk published dates
         pubs = self.db.fetchall(
             "SELECT * FROM publications WHERE dataset = ? AND trade_date >= ? AND trade_date <= ? ORDER BY trade_date",
             (dataset, start, end),
         )
         if not pubs:
-            raise ApiError("DATASET_NOT_PUBLISHED", f"{dataset} {start}-{end} 尚未发布")
+            raise ApiError(
+                "DATASET_NOT_PUBLISHED",
+                f"{dataset} {start}-{end} 尚未发布",
+                extra=self._unpublished_extra(dataset, end),
+            )
         rows: list[dict[str, Any]] = []
         limit, offset = self._page(q)
         for pub in pubs:
@@ -294,17 +323,28 @@ class V1API:
         if adjust == "qfq" and dataset == "daily":
             sliced = self._apply_qfq(sliced)
         last = pubs[-1]
+        coverage = published_range_coverage(
+            self.db,
+            dataset,
+            start,
+            end,
+            ts_code=ts_code,
+            table=table,
+        )
         return envelope(
             sliced,
-            {
-                "tier": "official",
-                "trade_date": last["trade_date"],
-                "published_at": last["published_at"],
-                "source": source,
-                "batch_id": last["active_batch"],
-                "stale": False,
-                "staleness_seconds": 0,
-            },
+            attach_coverage(
+                {
+                    "tier": "official",
+                    "trade_date": last["trade_date"],
+                    "published_at": last["published_at"],
+                    "source": source,
+                    "batch_id": last["active_batch"],
+                    "stale": False,
+                    "staleness_seconds": 0,
+                },
+                coverage,
+            ),
         )
 
     def _apply_qfq(self, rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
@@ -337,6 +377,20 @@ class V1API:
         offset = max(0, offset)
         return limit, offset
 
+    def _unpublished_extra(self, dataset: str, trade_date: str) -> dict[str, Any]:
+        """Identifiable coverage info: is this a history gap or today-not-yet?"""
+        extra: dict[str, Any] = {"expected_at": "15:05+08:00"}
+        row = self.db.fetchone(
+            "SELECT MIN(trade_date) AS a, MAX(trade_date) AS b FROM publications WHERE dataset = ?",
+            (dataset,),
+        )
+        if row and row.get("a"):
+            extra["available_from"] = row["a"]
+            extra["available_to"] = row["b"]
+            if str(trade_date) < str(row["a"]):
+                extra["reason"] = "history_not_backfilled"
+        return extra
+
     def _official_meta(self, dataset: str, trade_date: str, source: str) -> dict[str, Any]:
         pub = self.db.fetchone(
             "SELECT * FROM publications WHERE dataset = ? AND trade_date = ?",
@@ -359,6 +413,13 @@ def add_default(days: int) -> str:
     return (now_shanghai() + timedelta(days=days)).strftime("%Y%m%d")
 
 
+def attach_coverage(meta: dict[str, Any], coverage: dict[str, Any]) -> dict[str, Any]:
+    merged = dict(meta)
+    merged["coverage"] = coverage
+    merged["incomplete"] = not bool(coverage.get("complete"))
+    return merged
+
+
 def parse_query(raw: str) -> dict[str, list[str]]:
     return parse_qs(raw, keep_blank_values=True)
 

xiaobai-datahub/datahub/settings.py

@@ -48,6 +48,37 @@ class Settings:
     def list_limit_max(self) -> int:
         return int(self.quality.get("list_limit_max") or 5000)
 
+    @property
+    def calendar_start(self) -> str:
+        return str(self.quality.get("calendar_start") or "20160101")
+
+    @property
+    def index_history_trading_days(self) -> int:
+        return int(self.quality.get("index_history_trading_days") or 260)
+
+    @property
+    def moneyflow_history_trading_days(self) -> int:
+        return int(self.quality.get("moneyflow_history_trading_days") or 60)
+
+    @property
+    def stocks_refresh_times(self) -> tuple[str, ...]:
+        raw = self.quality.get("stocks_refresh_times") or ["20:00", "23:10"]
+        if isinstance(raw, str):
+            raw = [raw]
+        return tuple(str(item) for item in raw)
+
+    @property
+    def eod_retry_start(self) -> str:
+        return str(self.quality.get("eod_retry_start") or "15:15")
+
+    @property
+    def eod_retry_interval_minutes(self) -> int:
+        return int(self.quality.get("eod_retry_interval_minutes") or 30)
+
+    @property
+    def eod_retry_cutoff(self) -> str:
+        return str(self.quality.get("eod_retry_cutoff") or "23:30")
+
 
 def load_settings(
     env: dict[str, str] | None = None,

xiaobai-datahub/datahub/timeutil.py

@@ -58,6 +58,16 @@ def add_days(trade_date: str, days: int) -> str:
     return (parse_trade_date(trade_date) + timedelta(days=days)).strftime("%Y%m%d")
 
 
+def iter_yyyymmdd(start: str, end: str):
+    cursor = parse_trade_date(start)
+    last = parse_trade_date(end)
+    if cursor > last:
+        return
+    while cursor <= last:
+        yield cursor.strftime("%Y%m%d")
+        cursor += timedelta(days=1)
+
+
 def utc_timestamp(value: Any) -> str:
     if isinstance(value, datetime):
         return isoformat(value)

xiaobai-datahub/tests/fixtures.py

@@ -25,7 +25,7 @@ RAW = {
     ],
     "daily_basic": [
         {"ts_code": "600000.SH", "trade_date": "20240902", "turnover_rate": 1.2, "volume_ratio": 0.8, "total_mv": 1000.0, "circ_mv": 800.0, "pe_ttm": 5.1, "pb": 0.6, "ps_ttm": 1.1, "dv_ttm": 4.0},
-        {"ts_code": "000001.SZ", "trade_date": "20240902", "turnover_rate": 2.2, "volume_ratio": 1.1, "total_mv": 2000.0, "circ_mv": 1500.0, "pe_ttm": 6.2, "pb": 0.7, "ps_ttm": 1.2, "dv_ttm": 3.0},
+        {"ts_code": "000001.SZ", "trade_date": "20240902", "turnover_rate": 2.2, "volume_ratio": 1.1, "total_mv": 2000.0, "circ_mv": 1500.0, "pe_ttm": 6.2, "pb": 0.7, "ps_ttm": 1.2, "dv_ttm": None},
     ],
     "adj_factor": [
         {"ts_code": "600000.SH", "trade_date": "20240902", "adj_factor": 1.1},
@@ -51,7 +51,17 @@ RAW = {
 def fake_transport(api_name: str, params: dict, fields: str):
     if api_name == "index_daily":
         code = params.get("ts_code")
-        return [row for row in RAW["index_daily"] if row["ts_code"] == code]
+        rows = [row for row in RAW["index_daily"] if row["ts_code"] == code]
+        trade_date = str(params.get("trade_date") or "")
+        start = str(params.get("start_date") or "")
+        end = str(params.get("end_date") or "")
+        if trade_date:
+            rows = [row for row in rows if row["trade_date"] == trade_date]
+        if start:
+            rows = [row for row in rows if row["trade_date"] >= start]
+        if end:
+            rows = [row for row in rows if row["trade_date"] <= end]
+        return rows
     if api_name == "trade_cal":
         start = str(params.get("start_date") or "")
         end = str(params.get("end_date") or "99999999")

xiaobai-datahub/tests/test_api.py

@@ -107,6 +107,9 @@ class ApiContractTests(unittest.TestCase):
             self.assertIn("data", body)
             self.assertIn("meta", body)
             self.assertIn("tier", body["meta"])
+            if "calendar" in path or "bars" in path or "indexes" in path or "valuation" in path or "moneyflow" in path or "auction" in path:
+                self.assertIn("coverage", body["meta"])
+                self.assertIn("incomplete", body["meta"])
 
     def test_qfq_matches_formula(self) -> None:
         _, none = self._get(f"/v1/bars/daily?date={TRADE_DATE}&code=600000.SH&adjust=none", token=self.token)

xiaobai-datahub/tests/test_atomic_release.py

@@ -0,0 +1,408 @@
+from __future__ import annotations
+
+import unittest
+from pathlib import Path
+import tempfile
+
+from datahub.adapters.tushare import TushareAdapter
+from datahub.crypto import SecretVault
+from datahub.db import HubDB
+from datahub.pipeline import Pipeline
+from datahub.settings import Settings
+from datahub.serving import V1API
+from tests.fixtures import TRADE_DATE, fake_transport
+
+GROUP_A = ("daily", "valuation", "moneyflow", "auction")
+
+
+class GroupTransport:
+    """fake_transport with per-API degradation switches for release-group tests."""
+
+    def __init__(self) -> None:
+        self.empty: set[str] = set()
+        self.keep_rows: dict[str, int] = {}
+        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 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)
+        if keep is not None:
+            return rows[:keep]
+        return rows
+
+
+def make_pipe(transport: GroupTransport, quality_extra: dict | None = None):
+    tmp = tempfile.TemporaryDirectory()
+    db = HubDB(Path(tmp.name) / "hub.db")
+    adapter = TushareAdapter("test-token", transport=transport)
+    quality = {
+        "daily_row_ratio": 0.98,
+        "null_rate_max": 0.01,
+        "max_publish_attempts": 2,
+        "publication_generations": 3,
+    }
+    if quality_extra:
+        quality.update(quality_extra)
+    settings = Settings(
+        encryption_key=SecretVault.generate_key(),
+        api_token="t" * 32,
+        admin_password="admin-pass",
+        tushare_token="test-token",
+        db_path=db.path,
+        quality=quality,
+        scheduler_enabled=False,
+    )
+    pipe = Pipeline(db, adapter, settings)
+    pipe._tmp = tmp
+    return pipe, db
+
+
+def publications_map(db: HubDB, day: str) -> dict[str, str]:
+    rows = db.fetchall("SELECT dataset, active_batch FROM publications WHERE trade_date = ?", (day,))
+    return {str(row["dataset"]): str(row["active_batch"]) for row in rows}
+
+
+class ReleaseGroupSwitchTests(unittest.TestCase):
+    def setUp(self) -> None:
+        self.transport = GroupTransport()
+        self.pipe, self.db = make_pipe(self.transport)
+        self.pipe.ingest_reference(TRADE_DATE)
+
+    def test_whole_group_switches_in_one_publish_instant(self) -> None:
+        results = self.pipe.run_eod_batch_a(TRADE_DATE)
+        self.assertEqual(set(results), {*GROUP_A, "stocks"})
+        self.assertEqual({item["state"] for item in results.values()}, {"published"})
+        pubs = self.db.fetchall("SELECT * FROM publications WHERE trade_date = ?", (TRADE_DATE,))
+        self.assertEqual(len(pubs), 5)
+        self.assertEqual(len({row["published_at"] for row in pubs}), 1)
+        # official rows copied and serving resolves the new batches
+        api = V1API(self.db, self.pipe, self.pipe.settings)
+        payload = api.handle("/v1/bars/daily", {"date": [TRADE_DATE], "code": ["600000.SH"]})
+        self.assertEqual(payload["meta"]["batch_id"], results["daily"]["batch_id"])
+        stocks = api.handle("/v1/stocks", {})
+        self.assertEqual(stocks["meta"]["batch_id"], results["stocks"]["batch_id"])
+
+    def test_any_member_failure_blocks_entire_group(self) -> None:
+        self.transport.empty = {"daily_basic"}  # valuation upstream returns nothing
+        results = self.pipe.run_eod_batch_a(TRADE_DATE)
+        self.assertEqual(results["valuation"]["state"], "failed")
+        self.assertEqual(results["moneyflow"]["state"], "aborted")
+        self.assertEqual(results["auction"]["state"], "aborted")
+        self.assertEqual(results["daily"]["state"], "failed")  # staged fine, then abandoned
+        # nothing became visible, and the reason is recorded
+        self.assertEqual(publications_map(self.db, TRADE_DATE), {})
+        abandoned = self.db.fetchall(
+            "SELECT * FROM batches WHERE trade_date = ? AND state = 'failed'",
+            (TRADE_DATE,),
+        )
+        self.assertTrue(any("release group not switched" in str(row["error"] or "") for row in abandoned))
+        audit = self.db.fetchone(
+            "SELECT * FROM audit_log WHERE action = 'release-group' ORDER BY id DESC"
+        )
+        self.assertIn("valuation", str(audit["detail"]))
+        # still missing → evening retries keep trying
+        self.assertIn("daily", self.pipe.missing_official_datasets(TRADE_DATE))
+
+    def test_failure_keeps_previous_complete_version_serving(self) -> None:
+        first = self.pipe.run_dataset("daily", TRADE_DATE)
+        self.transport.empty = {"daily_basic"}
+        results = self.pipe.run_eod_missing(TRADE_DATE)
+        # 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 daily batch is untouched and keeps serving
+        self.assertEqual(self.pipe.active_batch("daily", TRADE_DATE), 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] = []
+
+        def watcher() -> None:
+            with self.db.connect() as connection:
+                rows = connection.execute(
+                    "SELECT dataset, active_batch FROM publications WHERE trade_date = ?",
+                    (TRADE_DATE,),
+                ).fetchall()
+                snapshots.append({str(row["dataset"]): row["active_batch"] for row in rows})
+
+        self.pipe.before_commit = watcher
+        self.pipe.run_eod_batch_a(TRADE_DATE)
+        # inside the switch transaction the group was still invisible
+        self.assertEqual(snapshots[0], {})
+        after = publications_map(self.db, TRADE_DATE)
+        self.assertEqual(set(after), {*GROUP_A, "stocks"})
+
+    def test_switch_crash_rolls_back_whole_group(self) -> None:
+        def explode() -> None:
+            raise RuntimeError("killed mid-switch")
+
+        self.pipe.before_commit = explode
+        with self.assertRaises(RuntimeError):
+            self.pipe.run_eod_batch_a(TRADE_DATE)
+        self.assertEqual(publications_map(self.db, TRADE_DATE), {})
+        for table in ("eod_bars", "eod_valuation", "eod_moneyflow", "eod_auction", "eod_stocks"):
+            rows = self.db.fetchall(f"SELECT * FROM {table} WHERE trade_date = ?", (TRADE_DATE,))
+            self.assertEqual(rows, [], table)
+        audit = self.db.fetchone(
+            "SELECT * FROM audit_log WHERE action = 'release-group' ORDER BY id DESC"
+        )
+        self.assertIsNotNone(audit)
+        detail = str(audit["detail"])
+        self.assertIn("killed mid-switch", detail)
+        self.assertIn("failed", detail)
+
+    def test_duplicate_runs_are_idempotent(self) -> None:
+        self.pipe.run_eod_batch_a(TRADE_DATE)
+        self.pipe.run_eod_batch_b(TRADE_DATE)
+        batches_before = {
+            str(row["batch_id"])
+            for row in self.db.fetchall("SELECT batch_id FROM batches WHERE trade_date = ?", (TRADE_DATE,))
+        }
+        calls_before = len(self.transport.calls)
+        again = self.pipe.run_eod_missing(TRADE_DATE)
+        self.assertEqual({item["state"] for item in again.values()}, {"skipped"})
+        self.assertEqual({item["reason"] for item in again.values()}, {"already_published"})
+        batches_after = {
+            str(row["batch_id"])
+            for row in self.db.fetchall("SELECT batch_id FROM batches WHERE trade_date = ?", (TRADE_DATE,))
+        }
+        self.assertEqual(batches_after, batches_before)
+        self.assertEqual(len(self.transport.calls), calls_before)
+        self.assertEqual(self.pipe.missing_official_datasets(TRADE_DATE), [])
+
+    def test_cross_gate_failure_blocks_switch(self) -> None:
+        transport = GroupTransport()
+        pipe, db = make_pipe(
+            transport,
+            quality_extra={"cross_gates": [
+                {"left": "daily", "right": "moneyflow", "min_key_overlap": 1.0},
+            ]},
+        )
+        pipe.ingest_reference(TRADE_DATE)
+        transport.keep_rows["moneyflow"] = 1  # moneyflow covers only half the market
+        results = pipe.run_eod_batch_a(TRADE_DATE)
+        self.assertEqual(results["moneyflow"]["state"], "failed")
+        self.assertIn("cross gate", str(results["moneyflow"]["error"]))
+        self.assertEqual(publications_map(db, TRADE_DATE), {})
+
+    def test_stocks_master_and_snapshot_switch_together_or_not_at_all(self) -> None:
+        original = [
+            {"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"},
+        ]
+        renamed = [dict(original[0]), {**original[1], "name": "金钛股份"}]
+        self.transport.stocks = renamed
+        self.pipe.run_eod_batch_a(TRADE_DATE)
+        master = self.db.fetchone("SELECT name FROM stock_master WHERE ts_code = '920071.BJ'")
+        self.assertEqual(master["name"], "金钛股份")
+        stocks_pub = self.db.fetchone(
+            "SELECT active_batch FROM publications WHERE dataset = 'stocks' AND trade_date = ?",
+            (TRADE_DATE,),
+        )
+        self.assertIsNotNone(stocks_pub)
+
+        # failure path: rename staged but the group is blocked → master stays untouched
+        transport = GroupTransport()
+        transport.stocks = original
+        pipe, db = make_pipe(
+            transport,
+            quality_extra={"cross_gates": [
+                {"left": "daily", "right": "moneyflow", "min_key_overlap": 1.0},
+            ]},
+        )
+        pipe.ingest_reference(TRADE_DATE)  # master seeded with "N金钛"
+        transport.stocks = renamed
+        transport.keep_rows["moneyflow"] = 1
+        results = pipe.run_eod_batch_a(TRADE_DATE)
+        self.assertEqual(results["stocks"]["state"], "failed")
+        master = db.fetchone("SELECT name FROM stock_master WHERE ts_code = '920071.BJ'")
+        self.assertEqual(master["name"], "N金钛")  # rename not applied
+        stocks_pub = db.fetchone(
+            "SELECT active_batch FROM publications WHERE dataset = 'stocks' AND trade_date = ?",
+            (TRADE_DATE,),
+        )
+        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"]))
+
+
+class ForceBoundaryEntryTests(unittest.TestCase):
+    """CLI force / admin backfill must rebuild the full A/B boundary."""
+
+    def setUp(self) -> None:
+        self.transport = GroupTransport()
+        self.pipe, self.db = make_pipe(self.transport)
+        self.pipe.ingest_reference(TRADE_DATE)
+        self.first = self.pipe.run_eod_batch_a(TRADE_DATE)
+        self.pipe.run_eod_batch_b(TRADE_DATE)
+
+    def test_force_republish_valuation_rebuilds_whole_a_group(self) -> None:
+        before = publications_map(self.db, TRADE_DATE)
+        results = self.pipe.force_republish_boundary("valuation", TRADE_DATE)
+        self.assertEqual({item["state"] for item in results.values()}, {"published"})
+        after = publications_map(self.db, TRADE_DATE)
+        for name in (*GROUP_A, "stocks"):
+            self.assertNotEqual(after[name], before[name], name)
+            self.assertEqual(after[name], results[name]["batch_id"], name)
+        # B-group left alone
+        self.assertEqual(after["index_daily"], before["index_daily"])
+        pubs = self.db.fetchall(
+            "SELECT dataset, published_at FROM publications WHERE trade_date = ?",
+            (TRADE_DATE,),
+        )
+        a_times = {row["published_at"] for row in pubs if row["dataset"] in {*GROUP_A, "stocks"}}
+        self.assertEqual(len(a_times), 1)
+
+    def test_force_republish_index_rebuilds_only_b_group(self) -> None:
+        before = publications_map(self.db, TRADE_DATE)
+        results = self.pipe.force_republish_boundary("index_daily", TRADE_DATE)
+        self.assertEqual(results["index_daily"]["state"], "published")
+        after = publications_map(self.db, TRADE_DATE)
+        self.assertNotEqual(after["index_daily"], before["index_daily"])
+        for name in GROUP_A:
+            self.assertEqual(after[name], before[name], name)
+
+    def test_admin_backfill_official_dataset_uses_boundary(self) -> None:
+        from datahub.admin_api import AdminAPI
+        from datahub.auth import AuthService
+        from datahub.crypto import SecretVault
+        from datahub.scheduler import Scheduler
+        from datahub.serving import ApiError
+
+        vault = SecretVault(self.pipe.settings.encryption_key)
+        auth = AuthService(self.db, vault, self.pipe.settings.api_token, "StartPass1")
+        admin = AdminAPI(self.db, self.pipe, Scheduler(self.db, self.pipe), auth)
+        before = publications_map(self.db, TRADE_DATE)
+        result = admin.backfill("moneyflow", TRADE_DATE, "StartPass1", f"moneyflow:{TRADE_DATE}", "tester")
+        self.assertEqual(result["moneyflow"]["state"], "published")
+        after = publications_map(self.db, TRADE_DATE)
+        for name in (*GROUP_A, "stocks"):
+            self.assertNotEqual(after[name], before[name], name)
+        # bad password / wrong confirm still rejected
+        with self.assertRaises(ApiError):
+            admin.backfill("daily", TRADE_DATE, "wrong", f"daily:{TRADE_DATE}", "tester")
+
+    def test_admin_backfill_switch_crash_is_failed_precondition(self) -> None:
+        from datahub.admin_api import AdminAPI
+        from datahub.auth import AuthService
+        from datahub.crypto import SecretVault
+        from datahub.scheduler import Scheduler
+        from datahub.serving import ApiError
+
+        vault = SecretVault(self.pipe.settings.encryption_key)
+        auth = AuthService(self.db, vault, self.pipe.settings.api_token, "StartPass1")
+        admin = AdminAPI(self.db, self.pipe, Scheduler(self.db, self.pipe), auth)
+        before = publications_map(self.db, TRADE_DATE)
+
+        def explode() -> None:
+            raise RuntimeError("killed mid-switch")
+
+        self.pipe.before_commit = explode
+        with self.assertRaises(ApiError) as ctx:
+            admin.backfill("valuation", TRADE_DATE, "StartPass1", f"valuation:{TRADE_DATE}", "tester")
+        self.assertEqual(ctx.exception.code, "FAILED_PRECONDITION")
+        self.assertIn("killed mid-switch", ctx.exception.message)
+        # previous complete A/B versions keep serving
+        self.assertEqual(publications_map(self.db, TRADE_DATE), before)
+        audit = self.db.fetchone(
+            "SELECT * FROM audit_log WHERE action = 'release-group' ORDER BY id DESC"
+        )
+        self.assertIsNotNone(audit)
+        self.assertIn("failed", str(audit["detail"]))
+        self.assertIn("killed mid-switch", str(audit["detail"]))
+
+
+if __name__ == "__main__":
+    unittest.main()

xiaobai-datahub/tests/test_eod_retry.py

@@ -0,0 +1,241 @@
+from __future__ import annotations
+
+import unittest
+from datetime import datetime
+from pathlib import Path
+import tempfile
+
+from datahub.adapters.tushare import TushareAdapter
+from datahub.crypto import SecretVault
+from datahub.db import HubDB
+from datahub.pipeline import Pipeline
+from datahub.scheduler import Scheduler
+from datahub.settings import Settings
+from datahub.timeutil import SHANGHAI
+from tests.fixtures import fake_transport
+
+OFFICIAL = {"daily", "valuation", "moneyflow", "auction", "index_daily"}
+
+
+class DelayedTransport:
+    """Upstream that only returns rows for dates it has "published" yet."""
+
+    DATE_APIS = {"daily", "daily_basic", "adj_factor", "moneyflow", "stk_auction", "index_daily"}
+
+    def __init__(self, ready_dates: set[str]) -> None:
+        self.ready = set(ready_dates)
+        self.calls: list[str] = []
+
+    def __call__(self, api_name: str, params: dict, fields: str):
+        self.calls.append(api_name)
+        if api_name in self.DATE_APIS:
+            trade_date = str(params.get("trade_date") or "")
+            if trade_date and trade_date not in self.ready:
+                return []
+        return fake_transport(api_name, params, fields)
+
+
+def clock_at(day: str, hh: int, mm: int) -> datetime:
+    return datetime(int(day[:4]), int(day[4:6]), int(day[6:8]), hh, mm, tzinfo=SHANGHAI)
+
+
+class EodRetryTests(unittest.TestCase):
+    def _make(self, ready_dates: set[str]):
+        tmp = tempfile.TemporaryDirectory()
+        self.addCleanup(tmp.cleanup)
+        db = HubDB(Path(tmp.name) / "hub.db")
+        transport = DelayedTransport(ready_dates)
+        adapter = TushareAdapter("x", transport=transport)
+        settings = Settings(
+            encryption_key=SecretVault.generate_key(),
+            db_path=db.path,
+            backup_dir=Path(tmp.name) / "backups",
+        )
+        pipe = Pipeline(db, adapter, settings)
+        pipe.ingest_reference("20240902")
+        sched = Scheduler(db, pipe)
+        return db, transport, pipe, sched
+
+    def _job_runs(self, db: HubDB, job_id: str) -> list[dict]:
+        return db.fetchall("SELECT * FROM job_runs WHERE job_id = ? ORDER BY id", (job_id,))
+
+    def _batches(self, db: HubDB, day: str) -> list[dict]:
+        placeholders = ",".join("?" for _ in OFFICIAL)
+        return db.fetchall(
+            f"SELECT * FROM batches WHERE trade_date = ? AND dataset IN ({placeholders})",
+            (day, *sorted(OFFICIAL)),
+        )
+
+    @staticmethod
+    def _batch_ids(db: HubDB, day: str) -> set[str]:
+        return {str(row["batch_id"]) for row in db.fetchall("SELECT batch_id FROM batches WHERE trade_date = ?", (day,))}
+
+    @staticmethod
+    def _eod_calls(transport: DelayedTransport) -> list[str]:
+        return [name for name in transport.calls if name in DelayedTransport.DATE_APIS]
+
+    def _published(self, db: HubDB, day: str) -> set[str]:
+        placeholders = ",".join("?" for _ in OFFICIAL)
+        rows = db.fetchall(
+            f"SELECT dataset FROM publications WHERE trade_date = ? AND dataset IN ({placeholders})",
+            (day, *sorted(OFFICIAL)),
+        )
+        return {str(row["dataset"]) for row in rows}
+
+    def test_first_empty_then_retry_succeeds(self) -> None:
+        day = "20240902"
+        db, transport, pipe, sched = self._make(set())
+
+        sched.tick(clock_at(day, 15, 5))   # eod_a: upstream empty -> failed
+        sched.tick(clock_at(day, 15, 10))  # eod_b: upstream empty -> failed
+        self.assertEqual(self._published(db, day), set())  # quality gate held
+
+        sched.tick(clock_at(day, 15, 20))  # inside window, but <30min since 15:10
+        self.assertEqual(self._job_runs(db, "eod_retry"), [])
+        status = sched.eod_status(day, clock=clock_at(day, 15, 20))
+        self.assertEqual(status["state"], "waiting_upstream")
+        self.assertTrue(status["next_retry_at"])
+        self.assertEqual(status["missing_datasets"], sorted(OFFICIAL))
+
+        sched.tick(clock_at(day, 15, 40))  # retry #1, still empty
+        runs = self._job_runs(db, "eod_retry")
+        self.assertEqual(len(runs), 1)
+        self.assertEqual(runs[0]["state"], "failed")
+        self.assertEqual(self._published(db, day), set())
+
+        transport.ready.add(day)
+        sched.tick(clock_at(day, 16, 10))  # retry #2 succeeds
+        self.assertEqual(self._published(db, day), OFFICIAL)
+        self.assertEqual(sched.eod_status(day, clock=clock_at(day, 16, 10))["state"], "done")
+        progress = db.fetchone("SELECT * FROM eod_progress WHERE trade_date = ?", (day,))
+        self.assertEqual(progress["state"], "done")
+        self.assertEqual(progress["attempts"], 4)  # eod_a + eod_b + 2 retries
+
+        # success stops all further same-day requests
+        batches_before = len(self._batches(db, day))
+        eod_calls_before = len(self._eod_calls(transport))
+        sched.tick(clock_at(day, 17, 0))
+        sched.tick(clock_at(day, 23, 0))
+        self.assertEqual(len(self._job_runs(db, "eod_retry")), 2)
+        self.assertEqual(len(self._batches(db, day)), batches_before)
+        self.assertEqual(len(self._eod_calls(transport)), eod_calls_before)
+
+    def test_never_ready_marks_cutoff_failed_and_stops(self) -> None:
+        day = "20240902"
+        db, transport, pipe, sched = self._make(set())
+        sched.tick(clock_at(day, 15, 5))
+        sched.tick(clock_at(day, 15, 10))
+        sched.tick(clock_at(day, 15, 40))
+        sched.tick(clock_at(day, 16, 10))
+        sched.tick(clock_at(day, 23, 29))
+        self.assertEqual(len(self._job_runs(db, "eod_retry")), 3)
+
+        sched.tick(clock_at(day, 23, 35))  # past cutoff 23:30
+        status = sched.eod_status(day, clock=clock_at(day, 23, 35))
+        self.assertEqual(status["state"], "cutoff_failed")
+        cutoff_runs = [r for r in self._job_runs(db, "eod_retry") if "截止" in str(r["error"])]
+        self.assertEqual(len(cutoff_runs), 1)
+        self.assertEqual(self._published(db, day), set())
+
+        attempts = db.fetchone("SELECT attempts FROM eod_progress WHERE trade_date = ?", (day,))["attempts"]
+        sched.tick(clock_at(day, 23, 59))
+        self.assertEqual(
+            db.fetchone("SELECT attempts FROM eod_progress WHERE trade_date = ?", (day,))["attempts"],
+            attempts,
+        )
+        self.assertEqual(len(self._job_runs(db, "eod_retry")), 4)  # 3 retries + 1 cutoff record
+        self.assertEqual(self._published(db, day), set())
+
+    def test_restart_catches_up_without_overwriting(self) -> None:
+        day = "20240902"
+        db, transport, pipe, sched = self._make({day})
+        sched.tick(clock_at(day, 15, 5))   # eod_a publishes 4 datasets
+        sched.tick(clock_at(day, 15, 10))  # eod_b publishes index
+        self.assertEqual(self._published(db, day), OFFICIAL)
+
+        def official_batches() -> list[str]:
+            placeholders = ",".join("?" for _ in OFFICIAL)
+            return [
+                str(row["batch_id"])
+                for row in db.fetchall(
+                    f"SELECT batch_id FROM batches WHERE trade_date = ? AND dataset IN ({placeholders})",
+                    (day, *sorted(OFFICIAL)),
+                )
+            ]
+
+        active = db.fetchall("SELECT dataset, active_batch FROM publications WHERE trade_date = ?", (day,))
+        active_map = {row["dataset"]: row["active_batch"] for row in active if row["dataset"] in OFFICIAL}
+        batches_before = set(official_batches())
+        calls_before = self._eod_calls(transport)
+
+        # container restart: fresh scheduler, missed-time catch-up fires eod_a/eod_b
+        sched2 = Scheduler(db, pipe)
+        ran = sched2.tick(clock_at(day, 21, 0))
+        self.assertIn("eod_a", ran)
+        self.assertIn("eod_b", ran)
+        self.assertNotIn("eod_retry", ran)
+        self.assertEqual(self._published(db, day), OFFICIAL)
+        after = db.fetchall("SELECT dataset, active_batch FROM publications WHERE trade_date = ?", (day,))
+        self.assertEqual(
+            {row["dataset"]: row["active_batch"] for row in after if row["dataset"] in OFFICIAL},
+            active_map,
+        )
+        self.assertEqual(set(official_batches()), batches_before)  # no duplicate batches
+        self.assertEqual(self._eod_calls(transport), calls_before)  # no duplicate upstream EOD calls
+        self.assertEqual(sched2.eod_status(day, clock=clock_at(day, 21, 0))["state"], "done")
+
+    def test_restart_with_partial_publish_only_fetches_missing(self) -> None:
+        day = "20240902"
+        db, transport, pipe, sched = self._make({day})
+        sched.tick(clock_at(day, 15, 5))  # eod_a publishes 4; container "crashes" before eod_b
+        self.assertEqual(self._published(db, day), {"daily", "valuation", "moneyflow", "auction"})
+        batches_before = self._batch_ids(db, day)
+
+        sched2 = Scheduler(db, pipe)
+        ran = sched2.tick(clock_at(day, 15, 20))  # restart: eod_b catch-up, eod_a all skipped
+        self.assertIn("eod_b", ran)
+        self.assertEqual(self._published(db, day), OFFICIAL)
+        new_ids = self._batch_ids(db, day) - batches_before
+        new_datasets = {str(b["dataset"]) for b in self._batches(db, day) if str(b["batch_id"]) in new_ids}
+        self.assertEqual(new_datasets, {"index_daily"})
+        self.assertEqual(sched2.eod_status(day, clock=clock_at(day, 15, 20))["state"], "done")
+
+    def test_closed_day_skips_all_eod_work(self) -> None:
+        day = "20240907"  # closed in fixture calendar
+        db, transport, pipe, sched = self._make(set())
+        for hh, mm in ((15, 5), (15, 10), (15, 40), (16, 10), (20, 0), (23, 40)):
+            ran = sched.tick(clock_at(day, hh, mm))
+            self.assertNotIn("eod_retry", ran)
+        eod_runs = db.fetchall("SELECT * FROM job_runs WHERE job_id LIKE 'eod%'")
+        self.assertEqual(eod_runs, [])
+        self.assertIsNone(db.fetchone("SELECT * FROM eod_progress WHERE trade_date = ?", (day,)))
+        self.assertEqual(self._published(db, day), set())
+        self.assertEqual(sched.eod_status(day, clock=clock_at(day, 20, 0))["state"], "closed_day")
+
+    def test_duplicate_and_concurrent_execution_are_safe(self) -> None:
+        day = "20240902"
+        db, transport, pipe, sched = self._make({day})
+        sched.tick(clock_at(day, 15, 5))
+        sched.tick(clock_at(day, 15, 10))
+        self.assertEqual(self._published(db, day), OFFICIAL)
+        batches_before = len(self._batches(db, day))
+        calls_before = len(transport.calls)
+
+        out = sched.run_job("eod_retry", day)  # manual duplicate run
+        self.assertEqual(out["state"], "ok")
+        self.assertEqual(len(self._batches(db, day)), batches_before)
+        self.assertEqual(len(transport.calls), calls_before)
+
+        sched._eod_lock.acquire()  # simulate an in-flight EOD job
+        try:
+            busy = sched.run_job("eod_retry", day)
+            self.assertEqual(busy["state"], "skipped")
+            busy_a = sched.run_job("eod_a", day)
+            self.assertEqual(busy_a["state"], "skipped")
+        finally:
+            sched._eod_lock.release()
+        self.assertEqual(len(self._batches(db, day)), batches_before)
+
+
+if __name__ == "__main__":
+    unittest.main()

xiaobai-datahub/tests/test_history_backfill.py

@@ -0,0 +1,236 @@
+from __future__ import annotations
+
+import unittest
+from datetime import date, timedelta
+
+from datahub.coverage import calendar_coverage, point_coverage, published_range_coverage
+from datahub.serving import V1API
+from tests.fixtures import TRADE_DATE, fake_transport
+from tests.test_pipeline import make_pipeline
+
+
+def history_transport(open_dates: list[str], extra_closed: list[str] | None = None):
+    open_set = set(open_dates)
+    start = date(int(open_dates[0][:4]), int(open_dates[0][4:6]), int(open_dates[0][6:8]))
+    end = date(int(open_dates[-1][:4]), int(open_dates[-1][4:6]), int(open_dates[-1][6:8]))
+    calendar = []
+    cursor = start
+    while cursor <= end:
+        compact = cursor.strftime("%Y%m%d")
+        calendar.append(
+            {
+                "exchange": "SSE",
+                "cal_date": compact,
+                "is_open": 1 if compact in open_set else 0,
+                "pretrade_date": compact,
+            }
+        )
+        cursor += timedelta(days=1)
+    for day in extra_closed or []:
+        calendar.append(
+            {"exchange": "SSE", "cal_date": day, "is_open": 0, "pretrade_date": open_dates[0]}
+        )
+    index_codes = ("000001.SH", "399001.SZ", "399006.SZ", "000300.SH")
+    index_rows = []
+    for ts_code in index_codes:
+        for day in open_dates:
+            index_rows.append(
+                {
+                    "ts_code": ts_code,
+                    "trade_date": day,
+                    "open": 100,
+                    "high": 101,
+                    "low": 99,
+                    "close": 100.5,
+                    "pct_chg": 0.1,
+                    "vol": 10.0,
+                    "amount": 20.0,
+                }
+            )
+
+    def transport(api_name, params, fields):
+        if api_name == "trade_cal":
+            start = str(params.get("start_date") or "")
+            end = str(params.get("end_date") or "99999999")
+            return [row for row in calendar if start <= row["cal_date"] <= end]
+        if api_name == "index_daily":
+            code = params.get("ts_code")
+            rows = [row for row in index_rows if row["ts_code"] == code]
+            trade_date = str(params.get("trade_date") or "")
+            start = str(params.get("start_date") or "")
+            end = str(params.get("end_date") or "")
+            if trade_date:
+                rows = [row for row in rows if row["trade_date"] == trade_date]
+            if start:
+                rows = [row for row in rows if row["trade_date"] >= start]
+            if end:
+                rows = [row for row in rows if row["trade_date"] <= end]
+            return rows
+        return fake_transport(api_name, params, fields)
+
+    return transport
+
+
+def consecutive_open_days(end: str, count: int) -> list[str]:
+    cursor = date(int(end[:4]), int(end[4:6]), int(end[6:8]))
+    days: list[str] = []
+    while len(days) < count:
+        if cursor.weekday() < 5:
+            days.append(cursor.strftime("%Y%m%d"))
+        cursor -= timedelta(days=1)
+    return sorted(days)
+
+
+class CoverageApiTests(unittest.TestCase):
+    def test_calendar_marks_holes_incomplete(self) -> None:
+        pipe, _db = make_pipeline()
+        pipe.ingest_reference(TRADE_DATE)
+        api = V1API(pipe.db, pipe, pipe.settings)
+        payload = api.handle("/v1/calendar", {"from": ["20240901"], "to": ["20240907"]})
+        self.assertTrue(payload["meta"]["incomplete"])
+        self.assertFalse(payload["meta"]["coverage"]["complete"])
+        self.assertGreater(payload["meta"]["coverage"]["missing_count"], 0)
+        self.assertIn("20240901", payload["meta"]["coverage"]["missing_sample"])
+
+    def test_calendar_complete_when_every_day_present(self) -> None:
+        pipe, _db = make_pipeline()
+        pipe.ingest_reference(TRADE_DATE)
+        api = V1API(pipe.db, pipe, pipe.settings)
+        payload = api.handle("/v1/calendar", {"from": ["20240902"], "to": ["20240903"]})
+        self.assertFalse(payload["meta"]["incomplete"])
+        self.assertTrue(payload["meta"]["coverage"]["complete"])
+        self.assertEqual(payload["meta"]["coverage"]["expected_count"], 2)
+        self.assertEqual(len(payload["data"]), 2)
+
+    def test_index_range_incomplete_without_history(self) -> None:
+        pipe, _db = make_pipeline()
+        pipe.ingest_reference(TRADE_DATE)
+        pipe.run_dataset("index_daily", TRADE_DATE)
+        api = V1API(pipe.db, pipe, pipe.settings)
+        payload = api.handle(
+            "/v1/indexes/bars",
+            {"from": ["20240902"], "to": ["20240903"], "code": ["000001.SH"]},
+        )
+        self.assertTrue(payload["meta"]["incomplete"])
+        self.assertFalse(payload["meta"]["coverage"]["complete"])
+        self.assertEqual(payload["meta"]["coverage"]["available_count"], 1)
+        self.assertIn("20240903", payload["meta"]["coverage"]["missing_sample"])
+
+    def test_index_point_query_stays_complete(self) -> None:
+        pipe, _db = make_pipeline()
+        pipe.ingest_reference(TRADE_DATE)
+        pipe.run_dataset("index_daily", TRADE_DATE)
+        api = V1API(pipe.db, pipe, pipe.settings)
+        payload = api.handle("/v1/indexes/bars", {"date": [TRADE_DATE], "code": ["000001.SH"]})
+        self.assertFalse(payload["meta"]["incomplete"])
+        self.assertTrue(payload["meta"]["coverage"]["complete"])
+        self.assertEqual(payload["meta"]["coverage"]["kind"], "point")
+
+    def test_daily_range_incomplete_without_stock_history(self) -> None:
+        pipe, _db = make_pipeline()
+        pipe.ingest_reference(TRADE_DATE)
+        pipe.run_dataset("daily", TRADE_DATE)
+        api = V1API(pipe.db, pipe, pipe.settings)
+        payload = api.handle(
+            "/v1/bars/daily",
+            {"from": ["20240902"], "to": ["20240903"], "code": ["600000.SH"]},
+        )
+        self.assertTrue(payload["meta"]["incomplete"])
+        self.assertFalse(payload["meta"]["coverage"]["complete"])
+
+
+class HistoryBackfillTests(unittest.TestCase):
+    def test_index_history_is_idempotent_and_covers_requested_days(self) -> None:
+        open_dates = consecutive_open_days(TRADE_DATE, 5)
+        pipe, db = make_pipeline(quality={"index_history_trading_days": 5, "calendar_start": open_dates[0]})
+        pipe.adapter._transport = history_transport(open_dates)
+        first = pipe.backfill_history(TRADE_DATE, index_days=5)
+        self.assertTrue(first["ok"])
+        self.assertEqual(first["calendar"]["calendar_from"], open_dates[0])
+        self.assertEqual(first["index_daily"]["requested_days"], 5)
+        self.assertEqual(len(first["index_daily"]["published"]), 5)
+        self.assertEqual(first["index_daily"]["skipped"], [])
+        pubs = db.fetchall("SELECT trade_date FROM publications WHERE dataset='index_daily'")
+        self.assertEqual(sorted(row["trade_date"] for row in pubs), open_dates)
+
+        second = pipe.backfill_index_history(TRADE_DATE, trading_days=5)
+        self.assertTrue(second["ok"])
+        self.assertEqual(second["published"], [])
+        self.assertEqual(second["skipped"], open_dates)
+
+        api = V1API(db, pipe, pipe.settings)
+        payload = api.handle(
+            "/v1/indexes/bars",
+            {"from": [open_dates[0]], "to": [open_dates[-1]], "code": ["000001.SH"]},
+        )
+        self.assertFalse(payload["meta"]["incomplete"])
+        self.assertEqual(payload["meta"]["coverage"]["available_count"], 5)
+        self.assertEqual(len(payload["data"]), 5)
+
+    def test_index_history_retries_failed_dates_without_dropping_success(self) -> None:
+        open_dates = consecutive_open_days(TRADE_DATE, 3)
+        base = history_transport(open_dates)
+
+        def missing_cyb(api_name, params, fields):
+            if api_name == "index_daily" and params.get("ts_code") == "399006.SZ":
+                raise RuntimeError("upstream down")
+            return base(api_name, params, fields)
+
+        pipe, db = make_pipeline(quality={"index_history_trading_days": 3, "max_publish_attempts": 1})
+        pipe.adapter._transport = missing_cyb
+        first = pipe.backfill_history(TRADE_DATE, calendar_start=open_dates[0], index_days=3)
+        self.assertFalse(first["ok"])
+        self.assertTrue(any(item.get("ts_code") == "399006.SZ" for item in first["index_daily"]["failed"]))
+        published_first = {
+            row["trade_date"]
+            for row in db.fetchall("SELECT trade_date FROM publications WHERE dataset='index_daily'")
+        }
+        self.assertEqual(published_first, set(open_dates))
+
+        pipe.adapter._transport = base
+        retry = pipe.backfill_index_history(TRADE_DATE, trading_days=3)
+        self.assertTrue(retry["ok"])
+        self.assertEqual(len(retry["published"]), 3)
+        for day in open_dates:
+            rows = db.fetchall(
+                """
+                SELECT DISTINCT ts_code FROM eod_index_bars
+                WHERE trade_date = ? AND batch_id = (
+                    SELECT active_batch FROM publications
+                    WHERE dataset='index_daily' AND trade_date = ?
+                )
+                """,
+                (day, day),
+            )
+            self.assertEqual({row["ts_code"] for row in rows}, {"000001.SH", "399001.SZ", "399006.SZ", "000300.SH"})
+
+    def test_prepared_rows_skip_upstream_fetch(self) -> None:
+        pipe, _db = make_pipeline()
+        pipe.ingest_reference(TRADE_DATE)
+        calls = {"n": 0}
+        original = pipe.adapter._transport
+
+        def counting(api_name, params, fields):
+            calls["n"] += 1
+            return original(api_name, params, fields)
+
+        pipe.adapter._transport = counting
+        rows = pipe.adapter.normalize("index_daily", original("index_daily", {"ts_code": "000001.SH", "trade_date": TRADE_DATE}, ""))
+        before = calls["n"]
+        result = pipe.run_dataset("index_daily", TRADE_DATE, prepared_rows=rows)
+        self.assertEqual(result["rows"], 1)
+        self.assertEqual(calls["n"], before)
+
+    def test_coverage_helpers_point_and_calendar(self) -> None:
+        pipe, db = make_pipeline()
+        pipe.ingest_reference(TRADE_DATE)
+        point = point_coverage(TRADE_DATE, "index_daily")
+        self.assertTrue(point["complete"])
+        cal = calendar_coverage(db, "20240902", "20240903")
+        self.assertTrue(cal["complete"])
+        pub = published_range_coverage(db, "index_daily", "20240902", "20240903")
+        self.assertFalse(pub["complete"])
+
+
+if __name__ == "__main__":
+    unittest.main()

xiaobai-datahub/tests/test_moneyflow_backfill.py

@@ -0,0 +1,128 @@
+from __future__ import annotations
+
+import unittest
+from datetime import date, timedelta
+from pathlib import Path
+import tempfile
+
+from datahub.adapters.tushare import TushareAdapter
+from datahub.crypto import SecretVault
+from datahub.db import HubDB
+from datahub.pipeline import Pipeline
+from datahub.serving import ApiError, V1API
+from datahub.settings import Settings
+from tests.fixtures import fake_transport
+
+OPEN_DATES = ["20240826", "20240827", "20240828", "20240829", "20240830", "20240902", "20240903"]
+EMPTY_UPSTREAM = {"20240828"}  # one date the upstream cannot serve
+
+
+def build_calendar(open_dates: list[str], span_days: int = 16) -> list[dict]:
+    start = date(int(open_dates[0][:4]), int(open_dates[0][4:6]), int(open_dates[0][6:8]))
+    rows = []
+    open_set = set(open_dates)
+    for offset in range(span_days):
+        cursor = start + timedelta(days=offset)
+        compact = cursor.strftime("%Y%m%d")
+        rows.append(
+            {"exchange": "SSE", "cal_date": compact, "is_open": 1 if compact in open_set else 0, "pretrade_date": compact}
+        )
+    return rows
+
+
+def moneyflow_rows(day: str) -> list[dict]:
+    return [
+        {
+            "ts_code": "600000.SH", "trade_date": day,
+            "buy_sm_amount": 10 + int(day[-2:]), "sell_sm_amount": 8, "buy_md_amount": 20, "sell_md_amount": 15,
+            "buy_lg_amount": 30, "sell_lg_amount": 25, "buy_elg_amount": 40, "sell_elg_amount": 35, "net_mf_amount": 17,
+        },
+        {
+            "ts_code": "000001.SZ", "trade_date": day,
+            "buy_sm_amount": 11, "sell_sm_amount": 9, "buy_md_amount": 21, "sell_md_amount": 16,
+            "buy_lg_amount": 31, "sell_lg_amount": 26, "buy_elg_amount": 41, "sell_elg_amount": 36, "net_mf_amount": 18,
+        },
+    ]
+
+
+class MoneyflowHistoryTransport:
+    def __init__(self) -> None:
+        self.calendar = build_calendar(OPEN_DATES)
+        self.moneyflow_fetches: list[str] = []
+
+    def __call__(self, api_name: str, params: dict, fields: str):
+        if api_name == "trade_cal":
+            start = str(params.get("start_date") or "")
+            end = str(params.get("end_date") or "99999999")
+            return [row for row in self.calendar if start <= row["cal_date"] <= end]
+        if api_name == "moneyflow":
+            day = str(params.get("trade_date") or "")
+            self.moneyflow_fetches.append(day)
+            if day in EMPTY_UPSTREAM:
+                return []
+            return moneyflow_rows(day)
+        return fake_transport(api_name, params, fields)
+
+
+class MoneyflowBackfillTests(unittest.TestCase):
+    def setUp(self) -> None:
+        self.transport = MoneyflowHistoryTransport()
+        tmp = tempfile.TemporaryDirectory()
+        self.addCleanup(tmp.cleanup)
+        self.db = HubDB(Path(tmp.name) / "hub.db")
+        adapter = TushareAdapter("x", transport=self.transport)
+        settings = Settings(
+            encryption_key=SecretVault.generate_key(),
+            db_path=self.db.path,
+            backup_dir=Path(tmp.name) / "backups",
+            quality={"max_publish_attempts": 2, "publication_generations": 3},
+        )
+        self.pipe = Pipeline(self.db, adapter, settings)
+        self.pipe.ingest_reference("20240903")
+        self.api = V1API(self.db, self.pipe, settings)
+
+    def test_backfill_publishes_window_and_reports_failures(self) -> None:
+        result = self.pipe.backfill_moneyflow_history(end_date="20240903", trading_days=5)
+        published = [item["trade_date"] for item in result["published"]]
+        self.assertEqual(published, ["20240829", "20240830", "20240902", "20240903"])
+        self.assertEqual(result["failed"][0]["trade_date"], "20240828")
+        self.assertFalse(result["ok"])
+        rows = self.db.fetchall("SELECT * FROM eod_moneyflow WHERE trade_date='20240830'")
+        self.assertEqual(len(rows), 2)
+
+    def test_backfill_is_idempotent(self) -> None:
+        self.pipe.backfill_moneyflow_history(end_date="20240903", trading_days=5)
+        fetches_after_first = list(self.transport.moneyflow_fetches)
+        second = self.pipe.backfill_moneyflow_history(end_date="20240903", trading_days=5)
+        # only the still-missing date is re-fetched; published dates are skipped
+        self.assertEqual(self.transport.moneyflow_fetches[len(fetches_after_first):], ["20240828"])
+        self.assertEqual(len(second["skipped"]), 4)
+
+    def test_point_query_on_backfilled_date_serves_data(self) -> None:
+        self.pipe.backfill_moneyflow_history(end_date="20240903", trading_days=5)
+        payload = self.api.handle("/v1/moneyflow", {"date": ["20240830"]})
+        self.assertEqual(len(payload["data"]), 2)
+        self.assertEqual(payload["data"][0]["net_mf_amount"], 180000.0)
+
+    def test_unpublished_point_below_window_is_identifiable(self) -> None:
+        self.pipe.backfill_moneyflow_history(end_date="20240903", trading_days=5)
+        with self.assertRaises(ApiError) as ctx:
+            self.api.handle("/v1/moneyflow", {"date": ["20240801"]})
+        extra = ctx.exception.extra
+        self.assertEqual(extra["available_from"], "20240829")  # window starts at the first published date
+        self.assertEqual(extra["available_to"], "20240903")
+        self.assertEqual(extra["reason"], "history_not_backfilled")
+        self.assertEqual(extra["expected_at"], "15:05+08:00")
+
+    def test_range_query_flags_missing_dates(self) -> None:
+        self.pipe.backfill_moneyflow_history(end_date="20240903", trading_days=5)
+        payload = self.api.handle("/v1/moneyflow", {"from": ["20240828"], "to": ["20240903"]})
+        coverage = payload["meta"]["coverage"]
+        self.assertFalse(coverage["complete"])
+        self.assertEqual(coverage["missing_count"], 1)
+        self.assertEqual(coverage["missing_sample"], ["20240828"])
+        self.assertTrue(payload["meta"]["incomplete"])
+
+
+if __name__ == "__main__":
+    unittest.main()

xiaobai-datahub/tests/test_pipeline.py

@@ -69,6 +69,7 @@ class PipelineTests(unittest.TestCase):
         pipe, db = make_pipeline()
         ref = pipe.ingest_reference(TRADE_DATE)
         self.assertEqual(ref["stocks"], 2)
+        self.assertEqual(ref["calendar_from"], "20160101")
         result = pipe.run_dataset("daily", TRADE_DATE)
         self.assertEqual(result["state"], "published")
         self.assertEqual(result["rows"], 2)

xiaobai-datahub/tests/test_quality_gates.py

@@ -0,0 +1,262 @@
+from __future__ import annotations
+
+import unittest
+from pathlib import Path
+import tempfile
+
+from datahub.adapters.tushare import TushareAdapter
+from datahub.crypto import SecretVault
+from datahub.db import HubDB
+from datahub.pipeline import Pipeline, QualityError
+from datahub.scheduler import Scheduler
+from datahub.settings import Settings
+from tests.fixtures import TRADE_DATE, fake_transport
+from tests.test_eod_retry import clock_at
+
+FIELD_GATES = {
+    "valuation": {
+        "fields": [
+            "turnover_rate", "volume_ratio", "total_mv", "circ_mv",
+            "pe_ttm", "pb", "ps_ttm", "dv_ttm",
+        ],
+        "min_nonnull_rate": 0.9,
+        "min_nonnull_rate_by_field": {"pe_ttm": 0.5, "dv_ttm": 0.3},
+        "max_nonnull_drop_vs_prev": 0.15,
+        "max_nonfinite_rate": 0.01,
+    },
+}
+
+
+class ValuationTransport:
+    """fake_transport with switchable daily_basic degradation modes."""
+
+    def __init__(self) -> None:
+        self.mode = "ok"
+
+    def __call__(self, api_name: str, params: dict, fields: str):
+        rows = fake_transport(api_name, params, fields)
+        if api_name != "daily_basic":
+            return rows
+        trade_date = str(params.get("trade_date") or "")
+        if trade_date:
+            rows = [{**row, "trade_date": trade_date} for row in rows]
+        if self.mode == "ok":
+            return rows
+        patched = []
+        for row in rows:
+            item = dict(row)
+            if self.mode == "fields_all_null":
+                item["volume_ratio"] = None
+                item["dv_ttm"] = None
+            elif self.mode == "vr_all_null":
+                item["volume_ratio"] = None
+            elif self.mode == "dv_all_null":
+                item["dv_ttm"] = None
+            elif self.mode == "nonfinite":
+                item["volume_ratio"] = float("inf")
+            patched.append(item)
+        return patched
+
+
+def make_pipe(transport, quality_extra=None, clock=None):
+    tmp = tempfile.TemporaryDirectory()
+    db = HubDB(Path(tmp.name) / "hub.db")
+    adapter = TushareAdapter("test-token", transport=transport)
+    quality = {
+        "daily_row_ratio": 0.98,
+        "null_rate_max": 0.01,
+        "max_publish_attempts": 3,
+        "publication_generations": 3,
+        "job_run_retain_days": 90,
+        "staging_retain_days": 14,
+        "field_gates": FIELD_GATES,
+    }
+    if quality_extra:
+        quality.update(quality_extra)
+    settings = Settings(
+        encryption_key=SecretVault.generate_key(),
+        api_token="t" * 32,
+        admin_password="admin-pass",
+        tushare_token="test-token",
+        db_path=db.path,
+        quality=quality,
+        scheduler_enabled=False,
+    )
+    pipe = Pipeline(db, adapter, settings, clock=clock)
+    pipe._tmp = tmp
+    return pipe, db
+
+
+class ValuationFieldGateTests(unittest.TestCase):
+    def setUp(self) -> None:
+        self.transport = ValuationTransport()
+        self.pipe, self.db = make_pipe(self.transport)
+        self.pipe.ingest_reference(TRADE_DATE)
+
+    def _active(self) -> str | None:
+        row = self.db.fetchone(
+            "SELECT active_batch FROM publications WHERE dataset='valuation' AND trade_date=?",
+            (TRADE_DATE,),
+        )
+        return str(row["active_batch"]) if row else None
+
+    def test_normal_batch_with_legit_dv_nulls_passes(self) -> None:
+        result = self.pipe.run_dataset("valuation", TRADE_DATE)
+        self.assertEqual(result["state"], "published")
+        fields = result["quality"]["fields"]
+        # fixture: 1 of 2 stocks has null dv_ttm → 0.5 non-null ≥ 0.3 floor
+        self.assertEqual(fields["dv_ttm"]["nonnull_rate"], 0.5)
+        self.assertEqual(fields["volume_ratio"]["nonnull_rate"], 1.0)
+        self.assertFalse(result["quality"]["errors"])
+
+    def test_all_null_fields_rejected_and_prev_batch_kept(self) -> None:
+        first = self.pipe.run_dataset("valuation", TRADE_DATE)
+        self.transport.mode = "fields_all_null"
+        with self.assertRaises(QualityError) as ctx:
+            self.pipe.run_dataset("valuation", TRADE_DATE)
+        errors = "; ".join(ctx.exception.report["errors"])
+        self.assertIn("field gate: valuation.volume_ratio non-null rate 0.0000 < 0.9", errors)
+        self.assertIn("field gate: valuation.dv_ttm non-null rate 0.0000 < 0.3", errors)
+        # previous good publication stays active
+        self.assertEqual(self._active(), first["batch_id"])
+        # rejected batch left staged with readable error + field stats
+        rejected = self.db.fetchone(
+            "SELECT * FROM batches WHERE state='staged' AND dataset='valuation' ORDER BY started_at DESC",
+        )
+        self.assertIsNotNone(rejected)
+        self.assertIn("field gate: valuation.volume_ratio", str(rejected["error"]))
+        import json
+
+        quality = json.loads(rejected["quality_json"])
+        self.assertEqual(quality["fields"]["volume_ratio"]["nonnull"], 0)
+        self.assertEqual(quality["fields"]["dv_ttm"]["nonnull"], 0)
+
+    def test_volume_ratio_all_null_alone_rejected(self) -> None:
+        self.pipe.run_dataset("valuation", TRADE_DATE)
+        self.transport.mode = "vr_all_null"
+        with self.assertRaises(QualityError):
+            self.pipe.run_dataset("valuation", TRADE_DATE)
+        self.assertEqual(
+            self.db.fetchone(
+                "SELECT active_batch FROM publications WHERE dataset='valuation' AND trade_date=?",
+                (TRADE_DATE,),
+            )["active_batch"],
+            "20240902-valuation-001",
+        )
+
+    def test_dv_ttm_all_null_rejected_by_floor_and_collapse(self) -> None:
+        prev_day = "20240830"
+        prev = self.pipe.run_dataset("valuation", prev_day)  # prev dv nonnull 0.5
+        self.transport.mode = "dv_all_null"
+        with self.assertRaises(QualityError) as ctx:
+            self.pipe.run_dataset("valuation", TRADE_DATE)
+        errors = "; ".join(ctx.exception.report["errors"])
+        self.assertIn("field gate: valuation.dv_ttm non-null rate 0.0000 < 0.3", errors)
+        self.assertIn(f"dropped > 0.15 vs prev batch {prev['batch_id']}", errors)
+
+    def test_nonfinite_values_rejected(self) -> None:
+        self.pipe.run_dataset("valuation", TRADE_DATE)
+        rows = self.pipe.adapter.normalize(
+            "valuation", self.pipe._guarded_fetch("valuation", {"trade_date": TRADE_DATE})
+        )
+        for row in rows:
+            row["volume_ratio"] = float("inf")
+        with self.assertRaises(QualityError) as ctx:
+            self.pipe.run_dataset("valuation", TRADE_DATE, prepared_rows=rows)
+        errors = "; ".join(ctx.exception.report["errors"])
+        self.assertIn("field gate: valuation.volume_ratio non-finite rate 1.0000 > 0.01", errors)
+
+    def test_gate_off_when_not_configured(self) -> None:
+        pipe, _db = make_pipe(ValuationTransport(), quality_extra={"field_gates": {}})
+        pipe.ingest_reference(TRADE_DATE)
+        pipe.adapter._transport.mode = "fields_all_null"
+        result = pipe.run_dataset("valuation", TRADE_DATE)
+        self.assertEqual(result["state"], "published")  # legacy behavior when unconfigured
+
+    def test_gate_applies_to_any_configured_dataset(self) -> None:
+        gates = {"daily": {"fields": ["volume"], "min_nonnull_rate": 0.9, "max_nonfinite_rate": 0.01}}
+        pipe, _db = make_pipe(ValuationTransport(), quality_extra={"field_gates": gates})
+        pipe.ingest_reference(TRADE_DATE)
+
+        def null_volume(api_name, params, fields):
+            if api_name != "daily":
+                return fake_transport(api_name, params, fields)
+            rows = fake_transport(api_name, params, fields)
+            for row in rows:
+                row["vol"] = None
+            return rows
+
+        pipe.adapter._transport = null_volume
+        with self.assertRaises(QualityError) as ctx:
+            pipe.run_dataset("daily", TRADE_DATE)
+        errors = "; ".join(ctx.exception.report["errors"])
+        self.assertIn("field gate: daily.volume non-null rate 0.0000 < 0.9", errors)
+
+
+class GateRetryInterplayTests(unittest.TestCase):
+    def test_rejected_valuation_stays_missing_and_retry_publishes_later(self) -> None:
+        transport = ValuationTransport()
+        transport.mode = "fields_all_null"
+        tmp = tempfile.TemporaryDirectory()
+        self.addCleanup(tmp.cleanup)
+        db = HubDB(Path(tmp.name) / "hub.db")
+        adapter = TushareAdapter("x", transport=transport)
+        settings = Settings(
+            encryption_key=SecretVault.generate_key(),
+            db_path=db.path,
+            backup_dir=Path(tmp.name) / "backups",
+            quality={"field_gates": FIELD_GATES, "max_publish_attempts": 2},
+        )
+        pipe = Pipeline(db, adapter, settings)
+        pipe.ingest_reference("20240902")
+        sched = Scheduler(db, pipe)
+
+        sched.tick(clock_at("20240902", 15, 5))   # valuation rejected by field gate
+        sched.tick(clock_at("20240902", 15, 10))
+        self.assertIn("valuation", pipe.missing_official_datasets("20240902"))
+        self.assertEqual(
+            pipe.active_batch("valuation", "20240902"),
+            None,
+        )
+
+        transport.mode = "ok"
+        sched.tick(clock_at("20240902", 15, 45))  # retry passes the gate
+        self.assertNotIn("valuation", pipe.missing_official_datasets("20240902"))
+        rows = db.fetchall("SELECT * FROM eod_valuation WHERE trade_date='20240902'")
+        self.assertTrue(rows)
+        self.assertTrue(all(row["volume_ratio"] is not None for row in rows))
+
+
+class ForceRepublishTests(unittest.TestCase):
+    def test_force_boundary_republish_keeps_prev_for_rollback(self) -> None:
+        transport = ValuationTransport()
+        pipe, db = make_pipe(transport)
+        pipe.ingest_reference(TRADE_DATE)
+        first = pipe.run_eod_batch_a(TRADE_DATE)
+        first_val = first["valuation"]["batch_id"]
+        first_daily = first["daily"]["batch_id"]
+        transport.mode = "vr_all_null"
+        blocked = pipe.force_republish_boundary("valuation", TRADE_DATE)
+        self.assertEqual(blocked["valuation"]["state"], "failed")
+        self.assertEqual(pipe.active_batch("valuation", TRADE_DATE), first_val)
+        self.assertEqual(pipe.active_batch("daily", TRADE_DATE), first_daily)
+        transport.mode = "ok"
+        second = pipe.force_republish_boundary("valuation", TRADE_DATE)
+        self.assertEqual(second["valuation"]["state"], "published")
+        self.assertNotEqual(second["valuation"]["batch_id"], first_val)
+        self.assertNotEqual(second["daily"]["batch_id"], first_daily)
+        pubs = db.fetchall(
+            "SELECT dataset, active_batch, prev_batch, published_at FROM publications WHERE trade_date=?",
+            (TRADE_DATE,),
+        )
+        by_ds = {str(row["dataset"]): row for row in pubs}
+        a_times = {by_ds[name]["published_at"] for name in ("daily", "valuation", "moneyflow", "auction", "stocks")}
+        self.assertEqual(len(a_times), 1)
+        self.assertEqual(by_ds["valuation"]["active_batch"], second["valuation"]["batch_id"])
+        self.assertEqual(by_ds["valuation"]["prev_batch"], first_val)
+        rolled = pipe.rollback("valuation", TRADE_DATE, actor="cli")
+        self.assertEqual(rolled["active_batch"], first_val)
+
+
+if __name__ == "__main__":
+    unittest.main()

xiaobai-datahub/tests/test_stocks_refresh.py

@@ -0,0 +1,168 @@
+from __future__ import annotations
+
+import unittest
+from pathlib import Path
+import tempfile
+
+from datahub.adapters.tushare import TushareAdapter
+from datahub.crypto import SecretVault
+from datahub.db import HubDB
+from datahub.pipeline import Pipeline
+from datahub.scheduler import Scheduler
+from datahub.serving import V1API
+from datahub.settings import Settings
+from tests.fixtures import TRADE_DATE, fake_transport
+from tests.test_eod_retry import clock_at
+
+
+class StockMasterTransport:
+    """fake_transport with a mutable stock_basic list (new listings / renames)."""
+
+    def __init__(self) -> None:
+        self.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"},
+        ]
+
+    def __call__(self, api_name: str, params: dict, fields: str):
+        if api_name == "stock_basic":
+            return [dict(row) for row in self.stocks]
+        return fake_transport(api_name, params, fields)
+
+    def rename_and_add(self) -> None:
+        for row in self.stocks:
+            if row["ts_code"] == "920071.BJ":
+                row["name"] = "金钛股份"  # N-prefix removed the day after listing
+        self.stocks.append(
+            {"ts_code": "920289.BJ", "symbol": "920289", "name": "N华汇", "area": "广东", "industry": "专用机械", "market": "北交所", "list_status": "L", "list_date": "20240902"}
+        )
+
+
+def make_pipe(transport):
+    tmp = tempfile.TemporaryDirectory()
+    db = HubDB(Path(tmp.name) / "hub.db")
+    adapter = TushareAdapter("test-token", transport=transport)
+    settings = Settings(
+        encryption_key=SecretVault.generate_key(),
+        api_token="t" * 32,
+        admin_password="admin-pass",
+        tushare_token="test-token",
+        db_path=db.path,
+        quality={"max_publish_attempts": 3, "publication_generations": 3},
+        scheduler_enabled=False,
+    )
+    pipe = Pipeline(db, adapter, settings)
+    pipe._tmp = tmp
+    return pipe, db
+
+
+class StocksRefreshTests(unittest.TestCase):
+    def setUp(self) -> None:
+        self.transport = StockMasterTransport()
+        self.pipe, self.db = make_pipe(self.transport)
+        self.pipe.ingest_reference(TRADE_DATE)
+
+    def _stocks_api(self) -> dict:
+        return V1API(self.db, self.pipe, self.pipe.settings).handle("/v1/stocks", {})
+
+    def test_first_refresh_publishes_snapshot_with_meta(self) -> None:
+        result = self.pipe.refresh_stocks(TRADE_DATE)
+        self.assertEqual(result["state"], "published")
+        self.assertEqual(result["rows"], 2)
+        self.assertTrue(result["batch_id"].startswith("20240902-stocks-"))
+        payload = self._stocks_api()
+        self.assertEqual(payload["meta"]["batch_id"], result["batch_id"])
+        self.assertIsNotNone(payload["meta"]["published_at"])
+        self.assertEqual(len(payload["data"]), 2)
+        names = {row["ts_code"]: row["name"] for row in payload["data"]}
+        self.assertEqual(names["920071.BJ"], "N金钛")
+        self.assertNotIn("batch_id", payload["data"][0])
+
+    def test_new_listing_and_rename_publish_new_batch(self) -> None:
+        first = self.pipe.refresh_stocks(TRADE_DATE)
+        self.transport.rename_and_add()
+        second = self.pipe.refresh_stocks(TRADE_DATE)
+        self.assertEqual(second["state"], "published")
+        self.assertNotEqual(second["batch_id"], first["batch_id"])
+        payload = self._stocks_api()
+        names = {row["ts_code"]: row["name"] for row in payload["data"]}
+        self.assertEqual(names["920071.BJ"], "金钛股份")
+        self.assertIn("920289.BJ", names)
+        self.assertEqual(names["920289.BJ"], "N华汇")
+        # stock_master is refreshed too (code resolution stays current)
+        master = self.db.fetchone("SELECT name FROM stock_master WHERE ts_code='920289.BJ'")
+        self.assertEqual(master["name"], "N华汇")
+
+    def test_unchanged_refresh_is_idempotent(self) -> None:
+        first = self.pipe.refresh_stocks(TRADE_DATE)
+        again = self.pipe.refresh_stocks(TRADE_DATE)
+        self.assertEqual(again["state"], "skipped")
+        self.assertEqual(again["reason"], "unchanged")
+        self.assertEqual(again["batch_id"], first["batch_id"])
+        count = self.db.fetchone(
+            "SELECT COUNT(*) AS n FROM batches WHERE dataset='stocks' AND trade_date=?",
+            (TRADE_DATE,),
+        )["n"]
+        self.assertEqual(count, 1)
+
+    def test_force_republishes_even_unchanged(self) -> None:
+        first = self.pipe.refresh_stocks(TRADE_DATE)
+        forced = self.pipe.refresh_stocks(TRADE_DATE, force=True)
+        self.assertEqual(forced["state"], "published")
+        self.assertNotEqual(forced["batch_id"], first["batch_id"])
+
+    def test_snapshot_pinned_until_next_publish(self) -> None:
+        first = self.pipe.refresh_stocks(TRADE_DATE)
+        self.transport.rename_and_add()
+        # upstream changed but no refresh ran: published snapshot is untouched
+        _, snapshot = self.pipe.published_stock_snapshot(TRADE_DATE)
+        names = {row["ts_code"]: row["name"] for row in snapshot}
+        self.assertEqual(names["920071.BJ"], "N金钛")
+        self.assertNotIn("920289.BJ", names)
+        self.assertEqual(len(snapshot), 2)
+
+    def test_dataset_status_includes_stocks(self) -> None:
+        result = self.pipe.refresh_stocks(TRADE_DATE)
+        payload = V1API(self.db, self.pipe, self.pipe.settings).handle(
+            "/v1/datasets/status", {"date": [TRADE_DATE]}
+        )
+        by_name = {item["dataset"]: item for item in payload["data"]}
+        self.assertIn("stocks", by_name)
+        self.assertEqual(by_name["stocks"]["batch_id"], result["batch_id"])
+        self.assertIsNotNone(by_name["stocks"]["published_at"])
+
+
+class StocksRefreshSchedulingTests(unittest.TestCase):
+    def _make(self):
+        tmp = tempfile.TemporaryDirectory()
+        self.addCleanup(tmp.cleanup)
+        db = HubDB(Path(tmp.name) / "hub.db")
+        transport = StockMasterTransport()
+        adapter = TushareAdapter("x", transport=transport)
+        settings = Settings(
+            encryption_key=SecretVault.generate_key(),
+            db_path=db.path,
+            backup_dir=Path(tmp.name) / "backups",
+            quality={"stocks_refresh_times": ["20:00", "23:10"]},
+        )
+        pipe = Pipeline(db, adapter, settings)
+        pipe.ingest_reference(TRADE_DATE)
+        return db, pipe, Scheduler(db, pipe)
+
+    def test_scheduled_refresh_runs_on_open_day(self) -> None:
+        db, pipe, sched = self._make()
+        ran = sched.tick(clock_at(TRADE_DATE, 20, 0))
+        self.assertIn("stocks_refresh", ran)
+        ran = sched.tick(clock_at(TRADE_DATE, 23, 10))
+        self.assertIn("stocks_refresh", ran)  # second slot catches late renames
+        self.assertIsNotNone(pipe.active_batch("stocks", TRADE_DATE))
+
+    def test_no_refresh_on_closed_day(self) -> None:
+        db, _pipe, sched = self._make()
+        sched.tick(clock_at("20240907", 20, 30))  # fixture: Saturday closed
+        runs = db.fetchall("SELECT * FROM job_runs WHERE job_id='stocks_refresh'")
+        self.assertEqual(runs, [])
+
+
+if __name__ == "__main__":
+    unittest.main()