feat(data): 财务/日线同步增量 + 新浪「两边一致」校验兜底 + 逐只进度

- financial 默认增量：按 A 股披露节奏判断已最新并跳过；--full 强制全量重拉
- Tushare fina_indicator 增加报告期窗口与 100 条/请求自动分页（修复老报告期静默截断）
- 新浪兜底收紧为校验兜底：两源重叠历史一致才导入缺失键，行标记 source=sina；
  财务可比字段取 eps/销售毛利率（ROE 两端口径不同不作依据），日线只比较最近重叠交易日
- CLI 输出逐只进度与导入内容描述（来源/行数/报告期与公告区间），失败股票留待重跑
- financial_indicator 增 source 列（迁移 d3f6c9a21b04）；新增一致性/分页/服务测试

backend/app/application/services/data_sync.py

@@ -0,0 +1,611 @@
+"""数据同步服务：增量 + 新浪「两边一致」校验兜底（financial / daily）。
+
+背景（AGENT.md §5/§7/§8）：
+- Tushare 是首选源；新浪财经只作备用。任何切源都必须可追溯（写 sync_log），
+  且禁止静默把未经核验的备用源数据并入主库。
+- 本模块把「切到新浪」从 FailoverProvider 的『主源报错即兜底』收紧为
+  『校验兜底』：只有当某只股票**两边重叠的历史数据一致**时，才允许把新浪
+  的**新数据**（本地缺失键的行）导入；无本地历史或校验不一致 → 拒绝并告警，
+  留待 Tushare 恢复后重跑补齐（数据真实性优先）。
+
+校验口径（经验证，见仓库数据）：
+- 财务可比字段只有 eps / gross_margin —— 两源同报告期数值逐位一致；
+  ROE 两边口径不同（Tushare 摊薄 vs 新浪加权），不作为一致性依据。
+- 日线新浪为前复权，与本地不复权行仅「最近无除权区间」相等，因此只拿
+  两源重叠的最近若干个交易日做一致性校验（通道可信 → 才允许补缺）。
+"""
+
+from __future__ import annotations
+
+from collections.abc import Callable, Sequence
+from dataclasses import dataclass, field
+from datetime import date, timedelta
+from decimal import Decimal
+
+from app.domain.entities.market import DailyBar, FinancialIndicator, SyncLog
+from app.domain.providers import MarketDataProvider
+from app.domain.repositories.market import (
+    AdjustFactorRepository,
+    DailyBarRepository,
+    FinancialRepository,
+)
+from app.infrastructure.data_sources.errors import DataSourceAuthenticationError
+
+# 财务两源可比字段（其余字段两端口径不一致 / 单侧缺失，不能作校验依据）
+FINANCIAL_COMPARE_FIELDS = ("eps", "gross_margin")
+DAILY_COMPARE_FIELDS = ("open", "high", "low", "close")
+
+# 新浪日 K 可达窗口（getKLineData datalen=320 自然日）
+SINA_KLINE_DAYS = 320
+# 校验回看：请求新浪时额外回看 begin 之前的天数，确保与本地近期历史有重叠可比
+SINA_VERIFY_LOOKBACK_DAYS = 45
+_EPOCH = date(1990, 1, 1)
+
+
+# ---------------------------------------------------------------- 一致性校验（纯函数）
+
+@dataclass
+class OverlapVerdict:
+    """两边重叠一致性结论。ok=True 才允许导入新浪新数据。"""
+
+    ok: bool
+    shared: int = 0  # 重叠报告期 / 重叠交易日数量
+    compared: int = 0  # 实际参与数值比较的行/日数量
+    mismatches: list[str] = field(default_factory=list)
+
+    def summary(self) -> str:
+        if self.ok:
+            return f"重叠 {self.shared} 项，数值一致（比较 {self.compared} 项）"
+        why = f"重叠 {self.shared} 项不足/为空"
+        if self.mismatches:
+            why = "；".join(self.mismatches[:3])
+        return f"校验未通过：{why}"
+
+
+def _close_enough(a: Decimal, b: Decimal, *, rel_tol: float, abs_tol: float) -> bool:
+    if a is None or b is None:
+        return False
+    diff = abs(a - b)
+    if diff <= Decimal(str(abs_tol)):
+        return True
+    scale = max(abs(a), abs(b))
+    return diff <= Decimal(str(rel_tol)) * scale
+
+
+def financial_overlap_consistent(
+    local_rows: Sequence[FinancialIndicator],
+    sina_rows: Sequence[FinancialIndicator],
+    *,
+    min_shared: int = 2,
+    rel_tol: float = 1e-4,
+    abs_tol: float = 1e-3,
+) -> OverlapVerdict:
+    """新浪财务行与本地（Tushare）行按报告期重叠校验。
+
+    新浪每个报告期只保留最新一版（getFinanceReport2022 的 report_list 按
+    报告期一份）；本地同报告期可能有多版公告，取公告日最新者比较。
+    要求：重叠报告期数 >= min_shared，且全部可比字段（两源都非空）一致。
+    """
+    local_latest: dict[date, FinancialIndicator] = {}
+    for row in local_rows:
+        cur = local_latest.get(row.report_date)
+        if cur is None or row.announce_date > cur.announce_date:
+            local_latest[row.report_date] = row
+    sina_by_report = {row.report_date: row for row in sina_rows}
+
+    verdict = OverlapVerdict(ok=False)
+    shared_dates = sorted(set(local_latest) & set(sina_by_report), reverse=True)
+    verdict.shared = len(shared_dates)
+    for report in shared_dates:
+        a = local_latest[report]
+        b = sina_by_report[report]
+        day_mismatch: list[str] = []
+        compared = 0
+        for f in FINANCIAL_COMPARE_FIELDS:
+            va, vb = getattr(a, f), getattr(b, f)
+            if va is None or vb is None:
+                continue
+            compared += 1
+            if not _close_enough(va, vb, rel_tol=rel_tol, abs_tol=abs_tol):
+                day_mismatch.append(f"{report}: {f} {va}≠{vb}")
+        verdict.compared += compared
+        verdict.mismatches.extend(day_mismatch)
+    verdict.ok = (
+        verdict.shared >= min_shared and verdict.compared > 0 and not verdict.mismatches
+    )
+    return verdict
+
+
+def daily_overlap_consistent(
+    local_bars: Sequence[DailyBar],
+    sina_bars: Sequence[DailyBar],
+    *,
+    min_shared: int = 3,
+    max_recent: int = 8,
+    rel_tol: float = 1e-4,
+    abs_tol: float = Decimal("0.02"),
+) -> OverlapVerdict:
+    """新浪日 K（前复权）与本地（不复权）重叠校验。
+
+    前复权锚定最新价：仅「最近一次除权之后」的交易日两源数值相等，因此只
+    比较两源重叠的、最近的 max_recent 个交易日（此时若有除权发生在该段，
+    校验会判不一致 → 拒绝兜底，安全方向）。vol/amount 两源单位/口径不同，
+    不参与比较。
+    """
+    local_by_day = {b.trade_date: b for b in local_bars}
+    sina_by_day = {b.trade_date: b for b in sina_bars}
+    shared = sorted(set(local_by_day) & set(sina_by_day), reverse=True)
+
+    verdict = OverlapVerdict(ok=False)
+    verdict.shared = len(shared)
+    for day in shared[:max_recent]:
+        a, b = local_by_day[day], sina_by_day[day]
+        day_mismatch: list[str] = []
+        compared = 0
+        for f in DAILY_COMPARE_FIELDS:
+            va, vb = getattr(a, f), getattr(b, f)
+            if va is None or vb is None:
+                continue
+            compared += 1
+            if not _close_enough(va, vb, rel_tol=rel_tol, abs_tol=abs_tol):
+                day_mismatch.append(f"{day}: {f} {va}≠{vb}")
+        verdict.compared += compared
+        verdict.mismatches.extend(day_mismatch)
+    checked = len(shared[:max_recent])
+    verdict.ok = (
+        checked >= min_shared and verdict.compared > 0 and not verdict.mismatches
+    )
+    return verdict
+
+
+# ---------------------------------------------------------------- 报告期披露节奏
+
+def latest_expected_report_period(today: date) -> date:
+    """当前「应已披露」的最新报告期（报告期结束日）。
+
+    用作财务增量的已最新判断：本地已含该报告期 → 该股票已跟进到最新一季，
+    跳过（避免每轮全量重拉；--full 强制）。窗口按 A 股披露节奏划分：
+      - 1/1~2/14：年报季未开 → 上年三季报(09-30)
+      - 2/15~6/30：年报+一季报季 → 本年一季报(03-31)
+      - 7/1~10/15：半年报季 → 本年半年报(06-30)
+      - 10/16~12/31：三季报季 → 本年三季报(09-30)
+    """
+    y = today.year
+    md = (today.month, today.day)
+    if md <= (2, 14):
+        return date(y - 1, 9, 30)
+    if md <= (6, 30):
+        return date(y, 3, 31)
+    if md <= (10, 15):
+        return date(y, 6, 30)
+    return date(y, 9, 30)
+
+
+# ---------------------------------------------------------------- 审计
+
+def _audit_sync(
+    audit: Callable[[SyncLog], None],
+    *,
+    source: str,
+    api: str,
+    success: bool,
+    row_count: int = 0,
+    reason: str | None = None,
+    start: date | None = None,
+    end: date | None = None,
+) -> None:
+    audit(
+        SyncLog(
+            source=source,
+            api=api,
+            success=success,
+            failure_reason=reason,
+            row_count=row_count,
+            data_start=start,
+            data_end=end,
+        )
+    )
+
+
+# ---------------------------------------------------------------- 结果结构
+
+@dataclass
+class FinancialSymbolResult:
+    """单只股票财务同步结果（status: skip|ok|sina|failed）。"""
+
+    symbol: str
+    status: str
+    source: str | None = None  # tushare | sina
+    fetched: int = 0  # 数据源返回行数
+    written: int = 0  # 实际落库行数（新增；--full 时含更新）
+    updated: int = 0  # --full 下覆盖的既有行数
+    report_first: date | None = None
+    report_last: date | None = None
+    announce_first: date | None = None
+    announce_last: date | None = None
+    notes: list[str] = field(default_factory=list)
+
+
+@dataclass
+class DailySymbolResult:
+    """单只股票日线同步结果（status: skip|ok|sina|failed）。"""
+
+    symbol: str
+    status: str
+    source: str | None = None  # tushare | sina
+    bars_fetched: int = 0
+    bars_written: int = 0
+    day_first: date | None = None
+    day_last: date | None = None
+    factors_written: int | None = None  # None=未尝试（新浪兜底无因子）
+    notes: list[str] = field(default_factory=list)
+
+
+# ---------------------------------------------------------------- 财务同步服务
+
+class VerifiedFinancialSyncer:
+    """财务指标增量同步：Tushare 窗口化拉取 → 失败则新浪校验兜底。"""
+
+    def __init__(
+        self,
+        *,
+        primary: MarketDataProvider,
+        fallback: MarketDataProvider | None,
+        repo: FinancialRepository,
+        audit: Callable[[SyncLog], None],
+        today: date | None = None,
+        min_shared: int = 2,
+    ) -> None:
+        self.primary = primary
+        self.fallback = fallback
+        self.repo = repo
+        self.audit = audit
+        self.today = today or date.today()
+        self.min_shared = min_shared
+
+    def sync_symbol(self, symbol: str, *, force_full: bool = False) -> FinancialSymbolResult:
+        local = self.repo.list_symbol(symbol)
+        local_keys = {(r.symbol, r.report_date, r.announce_date) for r in local}
+        due = latest_expected_report_period(self.today)
+        if not force_full and local and any(r.report_date == due for r in local):
+            return FinancialSymbolResult(
+                symbol=symbol,
+                status="skip",
+                notes=[f"本地已含最新报告期 {due.isoformat()}，跳过（--full 强制重拉）"],
+            )
+        # 拉取窗口：有本地行则从最早本地报告期起（含更正/补缺），无则全历史；
+        # 上限到最新应披露报告期。
+        hi = due
+        lo = min((r.report_date for r in local), default=None) or _EPOCH
+        try:
+            rows = self.primary.get_financial(symbol, lo, hi)
+        except DataSourceAuthenticationError:
+            # 凭证无效/接口无权限：属全局性故障，快速失败让用户修 token，
+            # 不要对全市场逐只做无意义的新浪试探
+            raise
+        except Exception as exc:  # noqa: BLE001 —— 与 FailoverProvider 一致，统一走审计
+            _audit_sync(
+                self.audit,
+                source=self.primary.name,
+                api="get_financial",
+                success=False,
+                reason=str(exc),
+                start=lo,
+                end=hi,
+            )
+            return self._sina_fallback(symbol, local, local_keys, primary_error=str(exc))
+        _audit_sync(
+            self.audit,
+            source=self.primary.name,
+            api="get_financial",
+            success=True,
+            row_count=len(rows),
+            start=lo,
+            end=hi,
+        )
+        if force_full:
+            to_write = rows
+            updated = sum(1 for r in rows if _fin_key(r) in local_keys)
+        else:
+            to_write = [r for r in rows if _fin_key(r) not in local_keys]
+            updated = 0
+        written = self.repo.upsert_many(to_write)
+        return _fin_result(symbol, status="ok", source="tushare", written_rows=to_write,
+                           written=written, updated=updated)
+
+    # ---- 新浪校验兜底 ----
+
+    def _sina_fallback(
+        self,
+        symbol: str,
+        local: list[FinancialIndicator],
+        local_keys: set[tuple],
+        *,
+        primary_error: str,
+    ) -> FinancialSymbolResult:
+        if self.fallback is None:
+            return FinancialSymbolResult(
+                symbol=symbol,
+                status="failed",
+                notes=[f"Tushare 失败且未配置新浪兜底: {primary_error}"],
+            )
+        if not local:
+            _audit_sync(
+                self.audit,
+                source=self.fallback.name,
+                api="get_financial",
+                success=False,
+                reason=f"无本地历史可做两边一致性校验，跳过待 Tushare 恢复重试（{primary_error}）",
+            )
+            return FinancialSymbolResult(
+                symbol=symbol,
+                status="failed",
+                source="sina",
+                notes=[
+                    f"Tushare 失败且本地无历史（{symbol}），无法确认新浪数据真实性，"
+                    f"跳过待重试。primary: {primary_error}"
+                ],
+            )
+        try:
+            sina_rows = self.fallback.get_financial(symbol)
+        except Exception as exc:  # noqa: BLE001
+            _audit_sync(
+                self.audit,
+                source=self.fallback.name,
+                api="get_financial",
+                success=False,
+                reason=f"primary: {primary_error}; fallback: {exc}",
+            )
+            return FinancialSymbolResult(
+                symbol=symbol,
+                status="failed",
+                source="sina",
+                notes=[f"主备数据源均失败: primary={primary_error}; sina={exc}"],
+            )
+        verdict = financial_overlap_consistent(local, sina_rows, min_shared=self.min_shared)
+        if not verdict.ok:
+            _audit_sync(
+                self.audit,
+                source=self.fallback.name,
+                api="get_financial",
+                success=False,
+                reason=f"{verdict.summary()}（新浪返回 {len(sina_rows)} 行; primary={primary_error}）",
+            )
+            return FinancialSymbolResult(
+                symbol=symbol,
+                status="failed",
+                source="sina",
+                notes=[
+                    f"新浪数据与本地历史不一致/无法校验（{symbol}），拒绝导入。"
+                    f"primary: {primary_error}；{verdict.summary()}"
+                ],
+            )
+        new_rows = [r for r in sina_rows if _fin_key(r) not in local_keys]
+        written = self.repo.upsert_many(new_rows)
+        _audit_sync(
+            self.audit,
+            source=self.fallback.name,
+            api="get_financial",
+            success=True,
+            row_count=written,
+        )
+        return _fin_result(symbol, status="sina", source="sina", written_rows=new_rows,
+                           written=written, updated=0,
+                           note=f"新浪校验通过后补入 {written} 行（仅本地缺失键，source=sina）")
+
+
+# ---------------------------------------------------------------- 日线同步服务
+
+class VerifiedDailySyncer:
+    """日线同步：Tushare 失败 → 新浪校验兜底（仅补缺失交易日、无复权因子）。"""
+
+    def __init__(
+        self,
+        *,
+        primary: MarketDataProvider,
+        fallback: MarketDataProvider | None,
+        bars: DailyBarRepository,
+        factors: AdjustFactorRepository,
+        audit: Callable[[SyncLog], None],
+        today: date | None = None,
+        min_shared: int = 3,
+    ) -> None:
+        self.primary = primary
+        self.fallback = fallback
+        self.bars = bars
+        self.factors = factors
+        self.audit = audit
+        self.today = today or date.today()
+        self.min_shared = min_shared
+
+    def sync_symbol(self, symbol: str, begin: date, end: date) -> DailySymbolResult:
+        try:
+            bars = self.primary.get_daily(symbol, begin, end)
+        except DataSourceAuthenticationError:
+            raise  # 凭证/权限故障 → 快速失败（见财务同步注释）
+        except Exception as exc:  # noqa: BLE001
+            _audit_sync(
+                self.audit,
+                source=self.primary.name,
+                api="get_daily",
+                success=False,
+                reason=str(exc),
+                start=begin,
+                end=end,
+            )
+            return self._sina_fallback(symbol, begin, end, primary_error=str(exc))
+        _audit_sync(
+            self.audit,
+            source=self.primary.name,
+            api="get_daily",
+            success=True,
+            row_count=len(bars),
+            start=begin,
+            end=end,
+        )
+        try:
+            factors = self.primary.get_adjust_factor(symbol, begin, end)
+        except DataSourceAuthenticationError:
+            raise  # 凭证/权限故障 → 快速失败（见财务同步注释）
+        except Exception as exc:  # noqa: BLE001
+            # 复权因子是日线配套：缺因子不写本段，避免 resume 按日线已最新而跳过、因子永远补不上
+            _audit_sync(
+                self.audit,
+                source=self.primary.name,
+                api="get_adjust_factor",
+                success=False,
+                reason=str(exc),
+                start=begin,
+                end=end,
+            )
+            return DailySymbolResult(
+                symbol=symbol,
+                status="failed",
+                source="tushare",
+                bars_fetched=len(bars),
+                notes=[f"日线拉取成功但复权因子失败，本段未落库（防因子缺口）: {exc}"],
+            )
+        _audit_sync(
+            self.audit,
+            source=self.primary.name,
+            api="get_adjust_factor",
+            success=True,
+            row_count=len(factors),
+            start=begin,
+            end=end,
+        )
+        self.bars.upsert_many(bars)
+        self.factors.upsert_many(factors)
+        return DailySymbolResult(
+            symbol=symbol,
+            status="ok",
+            source="tushare",
+            bars_fetched=len(bars),
+            bars_written=len(bars),
+            factors_written=len(factors),
+            day_first=min((b.trade_date for b in bars), default=None),
+            day_last=max((b.trade_date for b in bars), default=None),
+        )
+
+    # ---- 新浪校验兜底 ----
+
+    def _sina_fallback(
+        self, symbol: str, begin: date, end: date, *, primary_error: str
+    ) -> DailySymbolResult:
+        if self.fallback is None:
+            return DailySymbolResult(
+                symbol=symbol,
+                status="failed",
+                notes=[f"Tushare 失败且未配置新浪兜底: {primary_error}"],
+            )
+        # 新浪只有最近 SINA_KLINE_DAYS 自然日数据；为拿到「本地近期历史」重叠做
+        # 校验，请求窗口需回看 begin 之前 SINA_VERIFY_LOOKBACK_DAYS 天
+        # （见 daily_overlap_consistent：只比较两源重叠的最近交易日）。
+        q_start = max(
+            self.today - timedelta(days=SINA_KLINE_DAYS - 1),
+            begin - timedelta(days=SINA_VERIFY_LOOKBACK_DAYS),
+        )
+        try:
+            sina_bars = self.fallback.get_daily(symbol, q_start, end)
+        except Exception as exc:  # noqa: BLE001
+            _audit_sync(
+                self.audit,
+                source=self.fallback.name,
+                api="get_daily",
+                success=False,
+                reason=f"primary: {primary_error}; fallback: {exc}",
+                start=q_start,
+                end=end,
+            )
+            return DailySymbolResult(
+                symbol=symbol,
+                status="failed",
+                source="sina",
+                notes=[f"主备数据源均失败: primary={primary_error}; sina={exc}"],
+            )
+        local_recent = self.bars.get_range(symbol, q_start, end)
+        verdict = daily_overlap_consistent(local_recent, sina_bars, min_shared=self.min_shared)
+        if not verdict.ok:
+            _audit_sync(
+                self.audit,
+                source=self.fallback.name,
+                api="get_daily",
+                success=False,
+                reason=f"{verdict.summary()}（新浪返回 {len(sina_bars)} 行; primary={primary_error}）",
+                start=q_start,
+                end=end,
+            )
+            return DailySymbolResult(
+                symbol=symbol,
+                status="failed",
+                source="sina",
+                bars_fetched=len(sina_bars),
+                notes=[
+                    f"新浪数据与本地历史不一致/无法校验（{symbol}），拒绝兜底补缺。"
+                    f"primary: {primary_error}；{verdict.summary()}"
+                ],
+            )
+        local_dates = {b.trade_date for b in local_recent}
+        new_bars = [
+            b
+            for b in sina_bars
+            if begin <= b.trade_date <= end and b.trade_date not in local_dates
+        ]
+        written = self.bars.upsert_many(new_bars)
+        _audit_sync(
+            self.audit,
+            source=self.fallback.name,
+            api="get_daily",
+            success=True,
+            row_count=written,
+            start=begin,
+            end=end,
+        )
+        return DailySymbolResult(
+            symbol=symbol,
+            status="sina",
+            source="sina",
+            bars_fetched=len(sina_bars),
+            bars_written=written,
+            day_first=min((b.trade_date for b in new_bars), default=None),
+            day_last=max((b.trade_date for b in new_bars), default=None),
+            factors_written=None,
+            notes=[
+                f"新浪校验通过，仅补本地缺失交易日 {written} 根（前复权 source=sina，"
+                f"无复权因子；Tushare 恢复后 --resume 会按日覆盖回不复权口径）"
+            ],
+        )
+
+
+# ---------------------------------------------------------------- 小工具
+
+def _fin_key(row: FinancialIndicator) -> tuple:
+    return (row.symbol, row.report_date, row.announce_date)
+
+
+def _fin_result(
+    symbol: str,
+    *,
+    status: str,
+    source: str,
+    written_rows: Sequence[FinancialIndicator],
+    written: int,
+    updated: int,
+    note: str | None = None,
+) -> FinancialSymbolResult:
+    reports = [r.report_date for r in written_rows]
+    announces = [r.announce_date for r in written_rows]
+    notes = [note] if note else []
+    return FinancialSymbolResult(
+        symbol=symbol,
+        status=status,
+        source=source,
+        fetched=len(written_rows),
+        written=written,
+        updated=updated,
+        report_first=min(reports, default=None),
+        report_last=max(reports, default=None),
+        announce_first=min(announces, default=None),
+        announce_last=max(announces, default=None),
+        notes=notes,
+    )

backend/app/cli/sync.py

@@ -1,28 +1,43 @@
-"""Phase 1 数据同步 CLI（Tushare 首选 → SQLite）。
+"""Phase 1 数据同步 CLI（Tushare 首选 → SQLite，新浪校验兜底）。
 
 用法（cd backend）：
     uv run python -m app.cli.sync basic
     uv run python -m app.cli.sync calendar --start 20240101 --end 20241231
     uv run python -m app.cli.sync daily --symbols 600519.SH,000001.SZ --start 20240101
     uv run python -m app.cli.sync daily --all --start 20240101            # 全市场
-    uv run python -m app.cli.sync financial --all
+    uv run python -m app.cli.sync financial --all                        # 财务指标（增量）
+    uv run python -m app.cli.sync financial --all --full                 # 财务指标（强制全量重拉）
     uv run python -m app.cli.sync verify --symbol 600519.SH               # 新浪交叉验证
 
+增量与兜底：
+- daily --resume：从本地最新交易日续传（已有）；Tushare 失败时走新浪校验兜底，
+  只有「两源重叠历史一致」才用新浪补本地缺失交易日（source=sina/前复权）。
+- financial：默认增量——本地已含最新应披露报告期则跳过；Tushare 失败时新浪
+  数据须通过「两边一致」校验（重叠报告期 eps/销售毛利率逐期一致）才允许补入
+  本地缺失键（source=sina）。失败股票留待下轮重跑补齐，不会静默导入未核验数据。
+- 每次拉取写入 sync_log 审计（来源 / 成功与否 / 行数 / 区间），禁止静默切源。
+
 本模块是组装层（composition root）：在此装配 Provider / Repository / Session，
-业务层代码仍只依赖抽象（domain.repositories / domain.providers）。
+业务逻辑在 application.services.data_sync，业务层仍只依赖抽象。
 """
 
 from __future__ import annotations
 
 import argparse
 import sys
+import time
 from datetime import date, datetime, timedelta
 
 from sqlalchemy import select
 
+from app.application.services.data_sync import (
+    DailySymbolResult,
+    FinancialSymbolResult,
+    VerifiedDailySyncer,
+    VerifiedFinancialSyncer,
+)
 from app.core.config import get_settings
 from app.infrastructure.data_sources.errors import DataSourceError
-from app.infrastructure.data_sources.failover import FailoverProvider
 from app.infrastructure.data_sources.sina import SinaProvider
 from app.infrastructure.data_sources.tushare import TushareProvider
 from app.infrastructure.persistence.sqlalchemy.models.market import StockModel
@@ -44,12 +59,12 @@ def _parse_day(text: str) -> date:
 
 
 def _failover_provider(session):
-    """Tushare 首选 + 新浪兜底（FailoverProvider 每次尝试写 sync_log，AGENT.md §7）。
+    """Tushare 首选 + 新浪兜底（basic/calendar 用；daily/financial 走校验兜底服务）。
 
-    能力矩阵：新浪仅提供日线（前复权，标记 source=sina/adjust=qfq）；其余接口
-    （adj_factor/financial/basic/calendar）新浪不支持 → 抛错保留单源语义，日志可见。
-    Tushare 恢复后重跑 --resume 会把新浪兜底日按同键覆盖回不复权口径。
+    FailoverProvider 每次尝试写 sync_log（AGENT.md §7）。能力矩阵：新浪仅提供
+    日线/财务，basic/calendar 新浪不支持 → 抛错保留单源语义，日志可见。
     """
+    from app.infrastructure.data_sources.failover import FailoverProvider
     from app.infrastructure.data_sources.sina import SinaProvider
 
     audit_repo = SqlAlchemySyncLogRepository(session)
@@ -97,6 +112,23 @@ def _symbols_of(args) -> list[str]:
     return [s.strip() for s in args.symbols.split(",") if s.strip()]
 
 
+def _stock_names(session, symbols: list[str]) -> dict[str, str]:
+    """一次性取出股票名称（进度描述用）；批量查询避开 SQLite 变量上限。"""
+    names: dict[str, str] = {}
+    for i in range(0, len(symbols), 500):
+        chunk = symbols[i : i + 500]
+        rows = session.execute(
+            select(StockModel.symbol, StockModel.name).where(StockModel.symbol.in_(chunk))
+        )
+        names.update({sym: nm for sym, nm in rows})
+    return names
+
+
+def _warn_notes(notes: list[str]) -> None:
+    for note in notes:
+        print(f"  [warn] {note}", file=sys.stderr)
+
+
 def cmd_daily(args) -> int:
     from sqlalchemy import func
 
@@ -105,12 +137,20 @@ def cmd_daily(args) -> int:
     symbols = _symbols_of(args)
     start = _parse_day(args.start) if args.start else date(2005, 1, 1)
     end = _parse_day(args.end) if args.end else date.today()
-    total = 0
-    skipped = 0
+    started = time.monotonic()
+    n_ok = n_sina = n_failed = n_skip = 0
+    rows_tushare = rows_sina = 0
     with _session_ctx() as session:
-        provider = _failover_provider(session)
+        names = _stock_names(session, symbols)
+        audit = SqlAlchemySyncLogRepository(session).add
+        syncer = VerifiedDailySyncer(
+            primary=TushareProvider(token=get_settings().tushare_token),
+            fallback=SinaProvider(),
+            bars=SqlAlchemyDailyBarRepository(session),
+            factors=SqlAlchemyAdjustFactorRepository(session),
+            audit=audit,
+        )
         bar_repo = SqlAlchemyDailyBarRepository(session)
-        factor_repo = SqlAlchemyAdjustFactorRepository(session)
         # 增量基准：本地数据已到该日期即视为「已最新」，resume 时不再调 API
         global_latest = (
             session.scalar(select(func.max(StockDailyModel.trade_date))) if args.resume else None
@@ -121,43 +161,119 @@ def cmd_daily(args) -> int:
                 latest = bar_repo.latest_date(symbol)
                 if latest is not None:
                     if global_latest is not None and latest >= global_latest:
-                        skipped += 1  # 已同步到本地最新交易日，无需续拉
+                        n_skip += 1  # 已同步到本地最新交易日，无需续拉
                         continue
                     begin = max(begin, latest + timedelta(days=1))
                 if begin > end:
-                    skipped += 1  # 无待拉区间（如区间已含在本地）
+                    n_skip += 1  # 无待拉区间（如区间已含在本地）
                     continue
-            try:
-                bars = provider.get_daily(symbol, begin, end)
-                factors = provider.get_adjust_factor(symbol, begin, end)
-                bar_repo.upsert_many(bars)
-                factor_repo.upsert_many(factors)
-                total += len(bars)
-                if i % 100 == 0:
-                    session.commit()
-                    print(f"  ... {i}/{len(symbols)} {symbol} 累计 {total} 根")
-            except DataSourceError as exc:
-                print(f"  [warn] {symbol} 拉取失败: {exc}", file=sys.stderr)
-        session.commit()
-    detail = f"[daily] {len(symbols)} 只股票合计写入 {total} 根日线（含复权因子）"
+            if getattr(args, "sleep", 0) > 0:
+                time.sleep(args.sleep)
+            res: DailySymbolResult = syncer.sync_symbol(symbol, begin, end)
+            session.commit()  # 逐只落库：中断/报错只丢当前一只，重跑增量续传
+            if res.status == "ok":
+                n_ok += 1
+                rows_tushare += res.bars_written
+            elif res.status == "sina":
+                n_sina += 1
+                rows_sina += res.bars_written
+            elif res.status == "failed":
+                n_failed += 1
+            _warn_notes(res.notes)
+            if i % 100 == 0:
+                name = names.get(symbol, "")
+                print(
+                    f"  ... {i}/{len(symbols)} {symbol} {name}: "
+                    f"累计 tushare {rows_tushare} 根 + 新浪补缺 {rows_sina} 根；"
+                    f"成功 {n_ok} / 新浪 {n_sina} / 失败待重试 {n_failed}"
+                )
+    elapsed = time.monotonic() - started
+    detail = (
+        f"[daily] {len(symbols)} 只股票：成功 {n_ok} / 新浪校验补缺 {n_sina} / "
+        f"已最新跳过 {n_skip} / 失败待重试 {n_failed}"
+    )
     if args.resume:
-        detail += f"；增量跳过（已最新）{skipped} 只（本地最新 {global_latest}）"
+        detail += f"（本地最新 {global_latest}）"
+    detail += f"；写入 {rows_tushare} 根（tushare 不复权）+ {rows_sina} 根（sina 前复权），耗时 {elapsed:.0f}s"
     print(detail)
     return 0
 
 
+def _fin_progress_line(i: int, n: int, symbol: str, name: str, res: FinancialSymbolResult) -> str:
+    """financial 逐只进度行：结果 + 导入内容简单描述（报告期/公告区间、来源）。"""
+    head = f"[financial {i}/{n}] {symbol} {name or ''}".rstrip()
+    if res.status == "skip":
+        return f"{head}：已最新，跳过（增量）"
+    if res.status == "failed":
+        return f"{head}：失败待重试（tushare 失败；新浪源 {'未通过校验' if res.source == 'sina' else '不可用'}）"
+    if res.status == "sina":
+        return (
+            f"{head}：tushare 失败 → 新浪校验通过，补入 {res.written} 行（source=sina）"
+            + _fin_span(res)
+        )
+    # status == ok（tushare 成功）
+    if res.written:
+        updated = f"，覆盖更新 {res.updated} 行" if res.updated else ""
+        return f"{head}：tushare 返回 {res.fetched} 行 → 新增 {res.written} 行{updated}" + _fin_span(res)
+    return f"{head}：tushare 返回 {res.fetched} 行，均已在库，无新增"
+
+
+def _fin_span(res: FinancialSymbolResult) -> str:
+    if not res.written or res.report_first is None:
+        return ""
+    if res.announce_first is None or res.announce_last is None:
+        return ""
+    return (
+        f"；报告期 {res.report_first.isoformat()}~{res.report_last.isoformat()}"
+        f"（公告 {res.announce_first.isoformat()}~{res.announce_last.isoformat()}）"
+    )
+
+
 def cmd_financial(args) -> int:
     symbols = _symbols_of(args)
-    total = 0
+    started = time.monotonic()
+    n_ok = n_sina = n_failed = n_skip = 0
+    rows_tushare = rows_sina = 0
     with _session_ctx() as session:
-        provider = _failover_provider(session)
-        fin_repo = SqlAlchemyFinancialRepository(session)
-        for symbol in symbols:
-            rows = provider.get_financial(symbol)
-            fin_repo.upsert_many(rows)
-            total += len(rows)
-        session.commit()
-    print(f"[financial] {len(symbols)} 只股票合计写入 {total} 条财务指标快照")
+        names = _stock_names(session, symbols)
+        audit = SqlAlchemySyncLogRepository(session).add
+        syncer = VerifiedFinancialSyncer(
+            primary=TushareProvider(token=get_settings().tushare_token),
+            fallback=SinaProvider(),
+            repo=SqlAlchemyFinancialRepository(session),
+            audit=audit,
+        )
+        for i, symbol in enumerate(symbols, start=1):
+            if getattr(args, "sleep", 0) > 0:
+                time.sleep(args.sleep)
+            res: FinancialSymbolResult = syncer.sync_symbol(symbol, force_full=args.full)
+            session.commit()  # 逐只落库：中断只丢当前一只，重跑增量续传
+            print(_fin_progress_line(i, len(symbols), symbol, names.get(symbol, ""), res))
+            _warn_notes(res.notes)
+            if res.status == "ok":
+                n_ok += 1
+                rows_tushare += res.written
+            elif res.status == "sina":
+                n_sina += 1
+                rows_sina += res.written
+            elif res.status == "failed":
+                n_failed += 1
+            elif res.status == "skip":
+                n_skip += 1
+    elapsed = time.monotonic() - started
+    mode = "全量重拉(--full)" if args.full else "增量"
+    print(
+        f"[financial] 共 {len(symbols)} 只（{mode}）：成功 {n_ok} / 新浪校验兜底 {n_sina} / "
+        f"已最新跳过 {n_skip} / 失败待重试 {n_failed}；"
+        f"合计写入 {rows_tushare + rows_sina} 行（tushare {rows_tushare} + sina {rows_sina}），"
+        f"耗时 {elapsed:.0f}s"
+    )
+    if n_failed:
+        print(
+            "  [tip] 失败股票未写入未核验数据，重跑本命令即可续传补齐；"
+            "若因频率超限，可用 --sleep 加大间隔（如 --sleep 60）分多次跑。",
+            file=sys.stderr,
+        )
     return 0
 
 
@@ -253,17 +369,34 @@ def build_parser() -> argparse.ArgumentParser:
     p_cal.add_argument("--end", required=True, help="YYYYMMDD")
     p_cal.set_defaults(func=cmd_calendar)
 
-    p_daily = sub.add_parser("daily", help="同步日线与复权因子")
+    p_daily = sub.add_parser("daily", help="同步日线与复权因子（Tushare 失败 → 新浪校验兜底补缺）")
     p_daily.add_argument("--symbols", default="", help="600519.SH,000001.SZ")
     p_daily.add_argument("--all", action="store_true", help="遍历 stock 表全部股票")
     p_daily.add_argument("--start", default="", help="YYYYMMDD（默认 20050101）")
     p_daily.add_argument("--end", default="", help="YYYYMMDD（默认今天）")
-    p_daily.add_argument("--resume", action="store_true", help="从本地最新交易日续传")
+    p_daily.add_argument("--resume", action="store_true", help="从本地最新交易日续传（增量）")
+    p_daily.add_argument(
+        "--sleep",
+        type=float,
+        default=0,
+        help="每只股票请求间隔秒数（限速时加大，如 1 或 60）",
+    )
     p_daily.set_defaults(func=cmd_daily)
 
-    p_fin = sub.add_parser("financial", help="同步财务指标快照")
+    p_fin = sub.add_parser("financial", help="同步财务指标快照（默认增量；Tushare 失败 → 新浪校验兜底）")
     p_fin.add_argument("--symbols", default="")
-    p_fin.add_argument("--all", action="store_true")
+    p_fin.add_argument("--all", action="store_true", help="遍历 stock 表全部股票")
+    p_fin.add_argument(
+        "--full",
+        action="store_true",
+        help="强制全量重拉并覆盖既有行（默认只补本地缺失/更新的报告期，已最新跳过）",
+    )
+    p_fin.add_argument(
+        "--sleep",
+        type=float,
+        default=0,
+        help="每只股票请求间隔秒数（限速时加大，如 1 或 60）",
+    )
     p_fin.set_defaults(func=cmd_financial)
 
     p_verify = sub.add_parser("verify", help="新浪交叉验证最新行情")

backend/app/domain/entities/market.py

@@ -83,11 +83,18 @@ class FinancialIndicator(BaseModel):
 
     可见性红线：研究侧查询一律按 announce_date <= as_of_date 过滤，
     report_date 只表示报告所属期间，不代表公开时间。
+
+    source 标记数据来源：tushare（首选，字段全）| sina（兜底，字段
+    可能不全——新浪关键指标只含 eps/roe/gross_margin 等少数项）。
+    新浪兜底行只在「该股票本地历史与新浪重叠部分两边一致」通过校验后
+    才导入（见 application/services/data_sync.py），且只补本地缺失键。
+    研究侧对同一报告期应优先消费 source=tushare 的行。
     """
 
     symbol: str
     report_date: date
     announce_date: date
+    source: str = Field(default="tushare", description="tushare | sina")
     eps: Decimal | None = None
     roe: Decimal | None = None
     total_revenue: Decimal | None = None

backend/app/domain/providers.py

@@ -37,4 +37,15 @@ class MarketDataProvider(Protocol):
 
     def get_adjust_factor(self, symbol: str, start: date, end: date) -> list[AdjustFactor]: ...
 
-    def get_financial(self, symbol: str) -> list[FinancialIndicator]: ...
+    def get_financial(
+        self,
+        symbol: str,
+        start: date | None = None,
+        end: date | None = None,
+    ) -> list[FinancialIndicator]:
+        """财务指标快照。
+
+        start/end 为**报告期**窗口（对应 Tushare fina_indicator 的
+        start_date/end_date 参数，按报告期过滤）；不传表示全量历史。
+        新浪接口不支持按窗口拉取，提供方会忽略窗口后由调用方自行过滤。
+        """

backend/app/domain/repositories/market.py

@@ -72,6 +72,12 @@ class AdjustFactorRepository(Protocol):
 class FinancialRepository(Protocol):
     def upsert_many(self, rows: Sequence[FinancialIndicator]) -> int: ...
 
+    def list_symbol(self, symbol: str) -> list[FinancialIndicator]:
+        """该股票本地全部财务行（增量判断 / 新浪校验重叠用，量级小）。"""
+
+    def has_report_period(self, symbol: str, report_date: date) -> bool:
+        """本地是否已含该报告期（最新应披露报告期是否已入库）。"""
+
     def list_announced(
         self,
         symbol: str,

backend/app/infrastructure/data_sources/failover.py

@@ -69,11 +69,15 @@ class FailoverProvider:
             fallback_call=lambda: self.fallback.get_adjust_factor(symbol, start, end),
         )
 
-    def get_financial(self, symbol: str) -> list:
+    def get_financial(
+        self, symbol: str, start: date | None = None, end: date | None = None
+    ) -> list:
         return self._with_failover(
             "get_financial",
-            primary_call=lambda: self.primary.get_financial(symbol),
-            fallback_call=lambda: self.fallback.get_financial(symbol),
+            start=start,
+            end=end,
+            primary_call=lambda: self.primary.get_financial(symbol, start, end),
+            fallback_call=lambda: self.fallback.get_financial(symbol, start, end),
         )
 
     # ---- 内部 ----

backend/app/infrastructure/data_sources/sina.py

@@ -128,8 +128,17 @@ class SinaProvider:
 
     # ---- 财务（兜底 Tushare fina_indicator） ----
 
-    def get_financial(self, symbol: str) -> list[FinancialIndicator]:
-        """新浪关键指标（source=gjzb），含披露日 publish_date → announce_date。"""
+    def get_financial(
+        self,
+        symbol: str,
+        start: date | None = None,
+        end: date | None = None,
+    ) -> list[FinancialIndicator]:
+        """新浪关键指标（source=gjzb），含披露日 publish_date → announce_date。
+
+        新浪不支持按报告期窗口拉取：忽略 start/end 时返回其全部返回的
+        报告期；传入窗口则按 report_date 客户端过滤（新浪行 source=sina）。
+        """
         params = {
             "paperCode": _to_sina_symbol(symbol),
             "source": "gjzb",
@@ -153,6 +162,11 @@ class SinaProvider:
             announce = entry.get("publish_date")
             if not announce:
                 continue  # 无披露日不可用于研究（防未来函数）
+            report_day = _to_date(str(rd))
+            if start is not None and report_day < start:
+                continue
+            if end is not None and report_day > end:
+                continue
             fields: dict[str, Decimal | None] = {
                 "eps": None,
                 "roe": None,
@@ -167,8 +181,9 @@ class SinaProvider:
             rows.append(
                 FinancialIndicator(
                     symbol=symbol,
-                    report_date=_to_date(str(rd)),
+                    report_date=report_day,
                     announce_date=_to_date(str(announce)),
+                    source="sina",
                     eps=fields["eps"],
                     roe=fields["roe"],
                     total_revenue=fields["total_revenue"],

backend/app/infrastructure/data_sources/tushare.py

@@ -10,7 +10,7 @@ from __future__ import annotations
 import importlib
 import logging
 import time
-from datetime import date, datetime
+from datetime import date, datetime, timedelta
 from decimal import Decimal
 from typing import Any
 
@@ -183,9 +183,42 @@ class TushareProvider:
         )
         return self.normalize_adj_factor(records)
 
-    def get_financial(self, symbol: str) -> list[FinancialIndicator]:
-        records = self._call("fina_indicator", ts_code=symbol)
-        return self.normalize_financial(records)
+    def get_financial(
+        self,
+        symbol: str,
+        start: date | None = None,
+        end: date | None = None,
+    ) -> list[FinancialIndicator]:
+        """fina_indicator：报告期窗口 + 100 条/请求上限自动分页。
+
+        Tushare 单次请求最多返回 100 条（超出按最新 100 条截断），因此
+        全量历史必须按报告期窗口回卷分页，否则老报告期会被静默丢弃。
+        """
+        lo = start or date(1990, 1, 1)
+        hi = end or date.today()
+        raw: list[dict[str, Any]] = []
+        while lo <= hi:
+            batch = self._call(
+                "fina_indicator",
+                ts_code=symbol,
+                start_date=lo.strftime(_TS_DATE),
+                end_date=hi.strftime(_TS_DATE),
+            )
+            raw += batch
+            if len(batch) < 100:
+                break
+            ends = [
+                datetime.strptime(str(r["end_date"])[:8], _TS_DATE).date()
+                for r in batch
+                if r.get("end_date")
+            ]
+            if not ends:
+                break
+            next_hi = min(ends) - timedelta(days=1)
+            if next_hi < lo:  # 无进展保护（边界簇被截断等极端情况）
+                break
+            hi = next_hi
+        return self.normalize_financial(raw)
 
     # ---- 内部 ----
 

backend/app/infrastructure/persistence/migrations/versions/d3f6c9a21b04_financial_source_marker.py

@@ -0,0 +1,33 @@
+"""financial_indicator 增加 source 来源标记
+
+Revision ID: d3f6c9a21b04
+Revises: 91c4e27a03fb
+Create Date: 2026-09-08
+
+新浪校验兜底导入的财务行带 source=sina（字段可能不全），与 Tushare
+首选行区分；现有行回填默认 tushare（SQLite ADD COLUMN 带常量默认值，
+不重写现有数据）。AGENT.md §7 数据来源可追溯。
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+
+revision: str = "d3f6c9a21b04"
+down_revision: str | None = "91c4e27a03fb"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    op.add_column(
+        "financial_indicator",
+        sa.Column("source", sa.String(length=16), nullable=False, server_default="tushare"),
+    )
+
+
+def downgrade() -> None:
+    op.drop_column("financial_indicator", "source")

backend/app/infrastructure/persistence/sqlalchemy/models/market.py

@@ -93,6 +93,9 @@ class FinancialIndicatorModel(Base):
     symbol: Mapped[str] = mapped_column(String(SYMBOL_LEN), index=True)
     report_date: Mapped[date] = mapped_column(Date, index=True)
     announce_date: Mapped[date] = mapped_column(Date, index=True)
+    source: Mapped[str] = mapped_column(
+        String(16), default="tushare", server_default="tushare"
+    )
     eps: Mapped[Decimal | None] = mapped_column(Numeric(12, 4), nullable=True)
     roe: Mapped[Decimal | None] = mapped_column(Numeric(10, 4), nullable=True)
     total_revenue: Mapped[Decimal | None] = mapped_column(Numeric(24, 2), nullable=True)

backend/app/infrastructure/persistence/sqlalchemy/repositories/market_impl.py

@@ -241,6 +241,25 @@ class SqlAlchemyFinancialRepository:
     def upsert_many(self, rows: Sequence[FinancialIndicator]) -> int:
         return _upsert_by_business_key(self._session, FinancialIndicator, rows)
 
+    def list_symbol(self, symbol: str) -> list[FinancialIndicator]:
+        rows = self._session.scalars(
+            select(FinancialIndicatorModel)
+            .where(FinancialIndicatorModel.symbol == symbol)
+            .order_by(FinancialIndicatorModel.announce_date, FinancialIndicatorModel.report_date)
+        ).all()
+        return [FinancialIndicator.model_validate(r, from_attributes=True) for r in rows]
+
+    def has_report_period(self, symbol: str, report_date: date) -> bool:
+        exists = self._session.scalar(
+            select(FinancialIndicatorModel.id)
+            .where(
+                FinancialIndicatorModel.symbol == symbol,
+                FinancialIndicatorModel.report_date == report_date,
+            )
+            .limit(1)
+        )
+        return exists is not None
+
     def list_announced(
         self,
         symbol: str,

backend/tests/test_data_sync.py

@@ -0,0 +1,450 @@
+"""增量 + 新浪「两边一致」校验兜底同步服务测试。
+
+覆盖：一致性校验纯函数、报告期节奏、财务/日线同步服务
+（temp SQLite + Fake Provider，不触网）。
+"""
+
+from __future__ import annotations
+
+from datetime import date
+from decimal import Decimal
+
+import pytest
+from app.application.services.data_sync import (
+    VerifiedDailySyncer,
+    VerifiedFinancialSyncer,
+    daily_overlap_consistent,
+    financial_overlap_consistent,
+    latest_expected_report_period,
+)
+from app.domain.entities.market import DailyBar, FinancialIndicator, SyncLog
+from app.infrastructure.data_sources.errors import DataSourceError
+from app.infrastructure.persistence.sqlalchemy.base import Base
+from app.infrastructure.persistence.sqlalchemy.models.market import (
+    AdjustFactorModel,
+    FinancialIndicatorModel,
+    StockDailyModel,
+)
+from app.infrastructure.persistence.sqlalchemy.repositories.market_impl import (
+    SqlAlchemyAdjustFactorRepository,
+    SqlAlchemyDailyBarRepository,
+    SqlAlchemyFinancialRepository,
+)
+from sqlalchemy import create_engine, func, select
+from sqlalchemy.orm import Session
+
+TODAY = date(2026, 9, 8)
+DUE = date(2026, 6, 30)  # TODAY 属于半年报季 → 应披露最新报告期
+
+
+@pytest.fixture()
+def session(tmp_path) -> Session:
+    engine = create_engine(f"sqlite:///{tmp_path / 'ds.db'}", future=True)
+    Base.metadata.create_all(engine)
+    with Session(engine) as session:
+        yield session
+
+
+def _fin(
+    symbol: str,
+    report: str,
+    announce: str,
+    *,
+    eps: str = "1.00",
+    roe: str | None = None,
+    gross: str | None = None,
+    source: str = "tushare",
+) -> FinancialIndicator:
+    return FinancialIndicator(
+        symbol=symbol,
+        report_date=date.fromisoformat(report),
+        announce_date=date.fromisoformat(announce),
+        source=source,
+        eps=Decimal(eps),
+        roe=Decimal(roe) if roe is not None else None,
+        gross_margin=Decimal(gross) if gross is not None else None,
+    )
+
+
+def _bar(symbol: str, day: str, close: str, source: str = "tushare") -> DailyBar:
+    return DailyBar(
+        symbol=symbol,
+        trade_date=date.fromisoformat(day),
+        source=source,
+        adjust="none" if source == "tushare" else "qfq",
+        open=Decimal(close),
+        high=Decimal(close),
+        low=Decimal(close),
+        close=Decimal(close),
+        volume=Decimal("1000"),
+    )
+
+
+# ================================================================ 一致性校验
+
+class TestFinancialConsistency:
+    def test_overlap_consistent_passes(self) -> None:
+        local = [
+            _fin("600519.SH", "2026-03-31", "2026-04-25", eps="21.76", roe="10.5687", gross="89.7592"),
+            _fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57", roe="17.9543", gross="89.5552"),
+        ]
+        sina = [
+            _fin("600519.SH", "2026-03-31", "2026-04-25", eps="21.76", roe="10.57", gross="89.759217", source="sina"),
+            _fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57", roe="16.75", gross="89.555212", source="sina"),
+        ]
+        verdict = financial_overlap_consistent(local, sina)
+        # ROE 两边口径不同（新浪加权 vs tushare 摊薄），不参与比较也不判失败
+        assert verdict.ok
+        assert verdict.shared == 2
+        assert not verdict.mismatches
+
+    def test_roe_difference_not_compared(self) -> None:
+        """口径差异字段绝不能导致误杀（17.9543 vs 16.75 是同源数据真实形态）。"""
+        local = [_fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57", roe="17.9543", gross="89.5552")]
+        sina = [_fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57", roe="16.75", gross="89.555212", source="sina")]
+        verdict = financial_overlap_consistent(local, sina, min_shared=1)
+        assert verdict.ok
+
+    def test_eps_mismatch_fails(self) -> None:
+        local = [_fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57", gross="89.5552")]
+        sina = [_fin("600519.SH", "2026-06-30", "2026-08-15", eps="99.99", gross="89.555212", source="sina")]
+        verdict = financial_overlap_consistent(local, sina, min_shared=1)
+        assert not verdict.ok
+        assert verdict.mismatches
+
+    def test_insufficient_overlap_fails(self) -> None:
+        local = [_fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57")]
+        sina = [_fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57", source="sina")]
+        verdict = financial_overlap_consistent(local, sina, min_shared=2)
+        assert not verdict.ok
+        assert verdict.summary()
+
+
+class TestDailyConsistency:
+    def test_recent_overlap_equal_passes(self) -> None:
+        local = [_bar("600519.SH", "2026-09-01", "10"), _bar("600519.SH", "2026-09-02", "10")]
+        sina = [
+            _bar("600519.SH", "2026-09-01", "10", source="sina"),
+            _bar("600519.SH", "2026-09-02", "10", source="sina"),
+        ]
+        verdict = daily_overlap_consistent(local, sina, min_shared=2)
+        assert verdict.ok
+
+    def test_old_dividend_scale_gap_ignored(self) -> None:
+        """新浪前复权：老交易日在除权后数值整体平移，只有「最近重叠段」可比。"""
+        local = [
+            _bar("600519.SH", "2025-06-02", "500"),
+            _bar("600519.SH", "2026-09-01", "10"),
+            _bar("600519.SH", "2026-09-02", "10"),
+            _bar("600519.SH", "2026-09-03", "10"),
+        ]
+        sina = [
+            _bar("600519.SH", "2025-06-02", "480", source="sina"),  # 除权后按因子平移
+            _bar("600519.SH", "2026-09-01", "10", source="sina"),
+            _bar("600519.SH", "2026-09-02", "10", source="sina"),
+            _bar("600519.SH", "2026-09-03", "10", source="sina"),
+        ]
+        verdict = daily_overlap_consistent(local, sina, min_shared=2, max_recent=3)
+        assert verdict.ok
+
+    def test_recent_close_mismatch_fails(self) -> None:
+        local = [_bar("600519.SH", "2026-09-02", "10")]
+        sina = [_bar("600519.SH", "2026-09-02", "9", source="sina")]
+        verdict = daily_overlap_consistent(local, sina, min_shared=1)
+        assert not verdict.ok
+
+
+class TestReportPeriodRhythm:
+    def test_windows(self) -> None:
+        assert latest_expected_report_period(date(2026, 1, 1)) == date(2025, 9, 30)
+        assert latest_expected_report_period(date(2026, 2, 14)) == date(2025, 9, 30)
+        assert latest_expected_report_period(date(2026, 2, 15)) == date(2026, 3, 31)
+        assert latest_expected_report_period(date(2026, 6, 30)) == date(2026, 3, 31)
+        assert latest_expected_report_period(date(2026, 7, 1)) == date(2026, 6, 30)
+        assert latest_expected_report_period(TODAY) == DUE
+        assert latest_expected_report_period(date(2026, 10, 15)) == date(2026, 6, 30)
+        assert latest_expected_report_period(date(2026, 10, 16)) == date(2026, 9, 30)
+
+
+# ================================================================ 财务同步服务
+
+class _FakeFinSource:
+    def __init__(self, *, name: str, payload=None, error: Exception | None = None) -> None:
+        self.name = name
+        self.payload = payload or []
+        self.error = error
+        self.calls: list[tuple] = []
+
+    def get_financial(self, symbol, start=None, end=None):  # noqa: ANN001
+        self.calls.append((symbol, start, end))
+        if self.error is not None:
+            raise self.error
+        return list(self.payload)
+
+
+def _fin_syncer(session, primary, fallback=None, *, today: date = TODAY):
+    logs: list[SyncLog] = []
+    syncer = VerifiedFinancialSyncer(
+        primary=primary,
+        fallback=fallback,
+        repo=SqlAlchemyFinancialRepository(session),
+        audit=logs.append,
+        today=today,
+    )
+    return syncer, logs
+
+
+def _count(session, model) -> int:
+    return session.scalar(select(func.count()).select_from(model))
+
+
+class TestVerifiedFinancialSyncer:
+    def _rows(self, symbol: str = "600519.SH") -> list[FinancialIndicator]:
+        return [
+            _fin(symbol, "2026-03-31", "2026-04-25", eps="21.76", gross="89.7592"),
+            _fin(symbol, "2026-06-30", "2026-08-15", eps="35.57", gross="89.5552"),
+        ]
+
+    def test_first_fetch_writes_delta_and_second_run_skips(self, session: Session) -> None:
+        primary = _FakeFinSource(name="tushare", payload=self._rows())
+        syncer, logs = _fin_syncer(session, primary)
+
+        res = syncer.sync_symbol("600519.SH")
+        session.commit()
+        assert res.status == "ok"
+        assert res.written == 2
+        assert _count(session, FinancialIndicatorModel) == 2
+        assert logs[0].source == "tushare" and logs[0].success
+
+        # 第二次：本地已含最新应披露报告期 2026-06-30 → 跳过，不再调 API
+        res2 = syncer.sync_symbol("600519.SH")
+        assert res2.status == "skip"
+        assert len(primary.calls) == 1
+
+    def test_force_full_overwrites(self, session: Session) -> None:
+        primary = _FakeFinSource(name="tushare", payload=self._rows())
+        syncer, _logs = _fin_syncer(session, primary)
+        syncer.sync_symbol("600519.SH")
+        session.commit()
+
+        changed = [
+            r.model_copy(update={"eps": Decimal("99")}) for r in self._rows()
+        ] + [_fin("600519.SH", "2025-12-31", "2026-04-17", eps="65.66", gross="91.1796")]
+        primary.payload = changed
+        res = syncer.sync_symbol("600519.SH", force_full=True)
+        session.commit()
+        assert res.status == "ok"
+        assert res.written == 3
+        assert res.updated == 2  # 既有 2 行被覆盖
+        got = session.scalars(select(FinancialIndicatorModel)).all()
+        assert len(got) == 3
+        assert max(float(r.eps) for r in got) == 99.0
+
+    def test_sina_fallback_verified_imports_only_new_keys(self, session: Session) -> None:
+        repo = SqlAlchemyFinancialRepository(session)
+        repo.upsert_many(
+            [
+                _fin("600519.SH", "2025-12-31", "2026-04-17", eps="65.66", gross="91.1796"),
+                _fin("600519.SH", "2026-03-31", "2026-04-25", eps="21.76", gross="89.7592"),
+            ]
+        )
+        session.commit()
+
+        sina_rows = [
+            _fin("600519.SH", "2025-12-31", "2026-04-17", eps="65.66", gross="91.179551", source="sina"),
+            _fin("600519.SH", "2026-03-31", "2026-04-25", eps="21.76", gross="89.759217", source="sina"),
+            _fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57", gross="89.555212", source="sina"),
+        ]
+        primary = _FakeFinSource(name="tushare", error=DataSourceError("频率超限"))
+        fallback = _FakeFinSource(name="sina", payload=sina_rows)
+        syncer, logs = _fin_syncer(session, primary, fallback)
+
+        res = syncer.sync_symbol("600519.SH")
+        session.commit()
+        assert res.status == "sina"
+        assert res.written == 1  # 只补本地缺失键（2026-06-30）
+        rows = session.scalars(select(FinancialIndicatorModel)).all()
+        assert len(rows) == 3
+        new = next(r for r in rows if r.report_date == DUE)
+        assert new.source == "sina"
+        # 审计：tushare 失败 + sina 成功
+        assert [log.source for log in logs] == ["tushare", "sina"]
+        assert logs[0].success is False and logs[1].success is True
+
+    def test_sina_fallback_denied_on_mismatch(self, session: Session) -> None:
+        repo = SqlAlchemyFinancialRepository(session)
+        # 用非「最新应披露期」做种子，避免触发「已最新跳过」
+        repo.upsert_many(
+            [_fin("600519.SH", "2026-03-31", "2026-04-25", eps="21.76", gross="89.7592")]
+        )
+        session.commit()
+
+        primary = _FakeFinSource(name="tushare", error=DataSourceError("boom"))
+        # 同报告期 eps 不一致 → 真实性不成立 → 拒绝导入
+        fallback = _FakeFinSource(
+            name="sina",
+            payload=[
+                _fin("600519.SH", "2026-03-31", "2026-04-25", eps="1.00", gross="89.759217", source="sina"),
+                _fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57", gross="89.555212", source="sina"),
+            ],
+        )
+        syncer, _logs = _fin_syncer(session, primary, fallback)
+        res = syncer.sync_symbol("600519.SH")
+        assert res.status == "failed"
+        assert res.source == "sina"
+        assert _count(session, FinancialIndicatorModel) == 1  # 未新增
+
+    def test_sina_fallback_no_local_history_denied(self, session: Session) -> None:
+        primary = _FakeFinSource(name="tushare", error=DataSourceError("频率超限"))
+        fallback = _FakeFinSource(
+            name="sina",
+            payload=[_fin("600519.SH", "2026-06-30", "2026-08-15", eps="35.57", source="sina")],
+        )
+        syncer, logs = _fin_syncer(session, primary, fallback)
+        res = syncer.sync_symbol("600519.SH")
+        assert res.status == "failed"
+        assert "本地无历史" in " ".join(res.notes)
+        assert _count(session, FinancialIndicatorModel) == 0
+        assert not logs[-1].success
+
+
+# ================================================================ 日线同步服务
+
+class _FakeDailyTushare:
+    name = "tushare"
+
+    def __init__(self, *, bars=None, factors=None, daily_error=None, factor_error=None) -> None:  # noqa: ANN001
+        self.bars = bars or []
+        self.factors = factors or []
+        self.daily_error = daily_error
+        self.factor_error = factor_error
+        self.daily_calls = 0
+
+    def get_daily(self, symbol, start, end):
+        self.daily_calls += 1
+        if self.daily_error is not None:
+            raise self.daily_error
+        return list(self.bars)
+
+    def get_adjust_factor(self, symbol, start, end):
+        if self.factor_error is not None:
+            raise self.factor_error
+        return list(self.factors)
+
+
+class _FakeDailySina:
+    name = "sina"
+
+    def __init__(self, bars) -> None:
+        self.bars = bars
+
+    def get_daily(self, symbol, start, end):
+        return [
+            b for b in self.bars if start <= b.trade_date <= end
+        ]
+
+
+def _daily_syncer(session, primary, fallback=None, *, today: date = TODAY):
+    logs: list[SyncLog] = []
+    syncer = VerifiedDailySyncer(
+        primary=primary,
+        fallback=fallback,
+        bars=SqlAlchemyDailyBarRepository(session),
+        factors=SqlAlchemyAdjustFactorRepository(session),
+        audit=logs.append,
+        today=today,
+    )
+    return syncer, logs
+
+
+class TestVerifiedDailySyncer:
+    def test_primary_ok_writes_bars_and_factors(self, session: Session) -> None:
+        from app.domain.entities.market import AdjustFactor
+
+        bars = [_bar("600519.SH", "2026-09-01", "10"), _bar("600519.SH", "2026-09-02", "10")]
+        factors = [
+            AdjustFactor(symbol="600519.SH", trade_date=date(2026, 9, 1), factor=Decimal("1.0"))
+        ]
+        syncer, logs = _daily_syncer(
+            session, _FakeDailyTushare(bars=bars, factors=factors)
+        )
+        res = syncer.sync_symbol("600519.SH", date(2026, 9, 1), date(2026, 9, 2))
+        assert res.status == "ok"
+        assert res.bars_written == 2 and res.factors_written == 1
+        assert _count(session, StockDailyModel) == 2
+        assert _count(session, AdjustFactorModel) == 1
+        assert [log.api for log in logs] == ["get_daily", "get_adjust_factor"]
+
+    def test_factor_failure_aborts_symbol_without_partial_write(self, session: Session) -> None:
+        bars = [_bar("600519.SH", "2026-09-01", "10")]
+        syncer, _logs = _daily_syncer(
+            session,
+            _FakeDailyTushare(bars=bars, factor_error=DataSourceError("限速")),
+        )
+        res = syncer.sync_symbol("600519.SH", date(2026, 9, 1), date(2026, 9, 2))
+        assert res.status == "failed"
+        # 缺复权因子不写本段日线，避免 resume 漏补因子
+        assert _count(session, StockDailyModel) == 0
+
+    def _seed_local(self, session: Session) -> None:
+        repo = SqlAlchemyDailyBarRepository(session)
+        repo.upsert_many(
+            [
+                _bar("600519.SH", "2026-08-31", "10"),
+                _bar("600519.SH", "2026-09-01", "10"),
+                _bar("600519.SH", "2026-09-02", "10"),
+            ]
+        )
+        session.commit()
+
+    def test_sina_fallback_fills_only_missing_dates(self, session: Session) -> None:
+        self._seed_local(session)
+        sina_bars = [
+            _bar("600519.SH", "2026-08-31", "10", source="sina"),
+            _bar("600519.SH", "2026-09-01", "10", source="sina"),
+            _bar("600519.SH", "2026-09-02", "10", source="sina"),
+            _bar("600519.SH", "2026-09-03", "10", source="sina"),
+            _bar("600519.SH", "2026-09-04", "10", source="sina"),
+        ]
+        syncer, logs = _daily_syncer(
+            session,
+            _FakeDailyTushare(daily_error=DataSourceError("频率超限")),
+            fallback=_FakeDailySina(sina_bars),
+        )
+        res = syncer.sync_symbol("600519.SH", date(2026, 9, 3), date(2026, 9, 4))
+        session.commit()
+        assert res.status == "sina"
+        assert res.bars_written == 2  # 只补 09-03/09-04
+        rows = session.scalars(select(StockDailyModel).order_by(StockDailyModel.trade_date)).all()
+        assert len(rows) == 5
+        gap = [r for r in rows if r.trade_date >= date(2026, 9, 3)]
+        assert all(r.source == "sina" and r.adjust == "qfq" for r in gap)
+        kept = [r for r in rows if r.trade_date < date(2026, 9, 3)]
+        assert all(r.source == "tushare" for r in kept)  # 既有行不被覆盖
+        assert logs[-1].source == "sina" and logs[-1].success
+
+    def test_sina_fallback_denied_on_mismatch(self, session: Session) -> None:
+        self._seed_local(session)
+        # 最近重叠日收盘不一致（新浪 9 元 vs 本地 10 元）→ 通道不可信 → 拒绝
+        sina_bars = [_bar("600519.SH", "2026-09-02", "9", source="sina")]
+        syncer, _logs = _daily_syncer(
+            session,
+            _FakeDailyTushare(daily_error=DataSourceError("boom")),
+            fallback=_FakeDailySina(sina_bars),
+        )
+        res = syncer.sync_symbol("600519.SH", date(2026, 9, 3), date(2026, 9, 4))
+        assert res.status == "failed"
+        assert _count(session, StockDailyModel) == 3  # 未新增
+
+    def test_sina_fallback_no_overlap_denied(self, session: Session) -> None:
+        # 本地没有任何近期历史可对照 → 拒绝新浪补缺
+        sina_bars = [_bar("600519.SH", "2026-09-03", "10", source="sina")]
+        syncer, logs = _daily_syncer(
+            session,
+            _FakeDailyTushare(daily_error=DataSourceError("boom")),
+            fallback=_FakeDailySina(sina_bars),
+        )
+        res = syncer.sync_symbol("600519.SH", date(2026, 9, 3), date(2026, 9, 4))
+        assert res.status == "failed"
+        assert _count(session, StockDailyModel) == 0
+        assert not logs[-1].success

backend/tests/test_migrations.py

@@ -53,6 +53,9 @@ def test_upgrade_head_creates_phase1_tables(tmp_path) -> None:
         con.close()
     assert {"report_date", "announce_date"} <= fin_cols
     assert {"symbol", "trade_date", "close"} <= daily_cols
+    # 来源标记列（新浪校验兜底行需与 Tushare 首选行区分）
+    assert "source" in fin_cols
+    assert {"source", "adjust"} <= daily_cols
 
 
 def test_upgrade_head_idempotent(tmp_path) -> None:

backend/tests/test_repositories.py

@@ -196,6 +196,36 @@ class TestFinancialRepository:
         assert len(got) == 1
         assert got[0].eps == Decimal("9.99")
 
+    def test_source_marker_and_incremental_queries(self, session: Session) -> None:
+        """source 来源标记（默认 tushare）+ 增量判断查询（has_report_period/list_symbol）。"""
+        repo = SqlAlchemyFinancialRepository(session)
+        repo.upsert_many(
+            [
+                FinancialIndicator(
+                    symbol="600519.SH",
+                    report_date=date(2024, 6, 30),
+                    announce_date=date(2024, 8, 31),
+                    eps=Decimal("33.19"),
+                ),  # source 默认 tushare
+                FinancialIndicator(
+                    symbol="600519.SH",
+                    report_date=date(2024, 9, 30),
+                    announce_date=date(2024, 10, 30),
+                    source="sina",
+                    eps=Decimal("48.42"),
+                ),
+            ]
+        )
+        session.commit()
+
+        rows = repo.list_symbol("600519.SH")
+        assert {r.source for r in rows} == {"tushare", "sina"}
+        assert rows[0].source == "tushare"  # 按 announce_date 升序
+
+        assert repo.has_report_period("600519.SH", date(2024, 9, 30))
+        assert not repo.has_report_period("600519.SH", date(2024, 12, 31))
+        assert repo.list_symbol("000001.SZ") == []
+
 
 class TestSyncLogRepository:
     def test_add_and_recent(self, session: Session) -> None:

backend/tests/test_sina_provider.py

@@ -125,9 +125,49 @@ class TestFinancial:
         assert float(row.eps) == 1.23
         assert float(row.roe) == 15.5
         assert float(row.net_profit) == 1230000000
+        assert row.source == "sina"  # 兜底行必须标记来源（与 Tushare 首选行区分）
         # FinancialIndicator 校验能通过 → 格式与 Tushare 一致
         assert row.model_dump()["eps"] is not None
 
+    def test_window_filter(self) -> None:
+        payload = json.dumps(
+            {
+                "result": {
+                    "data": {
+                        "report_date": [
+                            {"date_value": "2024-06-30"},
+                            {"date_value": "2024-03-31"},
+                        ],
+                        "report_list": {
+                            "2024-06-30": {
+                                "publish_date": "2024-08-31",
+                                "data": [{"item_title": "基本每股收益", "item_value": "1.23"}],
+                            },
+                            "2024-03-31": {
+                                "publish_date": "2024-04-27",
+                                "data": [{"item_title": "基本每股收益", "item_value": "0.5"}],
+                            },
+                        },
+                    }
+                }
+            },
+            ensure_ascii=False,
+        )
+
+        class _TwoResp:
+            def __enter__(self):
+                return self
+
+            def __exit__(self, *exc):
+                return False
+
+            def read(self):
+                return payload.encode("utf-8")
+
+        provider = SinaProvider(urlopen=lambda _req, **kw: _TwoResp())
+        rows = provider.get_financial("600519.SH", date(2024, 6, 30), date(2024, 6, 30))
+        assert [r.report_date for r in rows] == [date(2024, 6, 30)]
+
     def test_bad_structure_raises(self) -> None:
         class _BadResp(_FinResp):
             def read(self):

backend/tests/test_tushare_provider.py

@@ -169,3 +169,58 @@ class TestRateLimitBackoff:
             ts_mod.time.sleep = orig_sleep
         assert len(provider._pro.calls) == 3  # noqa: SLF001 —— 完整重试 3 次
         assert len(sleeps) >= 2
+
+
+def _quarter_ends(count: int) -> list[str]:
+    """最近 count 个季度末（YYYYMMDD，降序）。"""
+
+    ends: list[str] = []
+    y, m = 2026, 6
+    while len(ends) < count:
+        ends.append(f"{y}{m:02d}30" if m in (6, 9) else f"{y}{m:02d}31")
+        m -= 3
+        if m <= 0:
+            m += 12
+            y -= 1
+    return ends
+
+
+class _FakeProQueue:
+    """按调用顺序弹出 payload 的 Fake pro（模拟分页）。"""
+
+    def __init__(self, payloads: list[list[dict]]) -> None:
+        self.payloads = list(payloads)
+        self.kwargs: list[dict] = []
+
+    def fina_indicator(self, **kwargs):
+        self.kwargs.append(kwargs)
+        return self.payloads.pop(0)
+
+
+class TestGetFinancialWindow:
+    def _record(self, end: str) -> dict:
+        return {"ts_code": "600519.SH", "end_date": end, "ann_date": end, "eps": "1.0"}
+
+    def test_window_args_passed(self) -> None:
+        ends = _quarter_ends(10)
+        fake = _FakeProQueue([[self._record(e) for e in ends]])
+        provider = TushareProvider(token="t", pro=fake)
+        rows = provider.get_financial("600519.SH", date(2024, 1, 1), date(2026, 6, 30))
+        assert len(rows) == 10
+        assert fake.kwargs[0]["start_date"] == "20240101"
+        assert fake.kwargs[0]["end_date"] == "20260630"
+
+    def test_paging_over_100_row_cap(self) -> None:
+        """单请求最多 100 条 → 超过必须回卷报告期窗口继续取，老数据不丢。"""
+        newest = _quarter_ends(100)
+        older = _quarter_ends(140)[100:]  # 100 条之外更早的 40 个季度
+        # 二次请求 end_date 必须早于首请求（分页回卷）
+        fake = _FakeProQueue(
+            [[self._record(e) for e in newest], [self._record(e) for e in older]]
+        )
+        provider = TushareProvider(token="t", pro=fake)
+        rows = provider.get_financial("600519.SH", date(2000, 1, 1), date(2026, 6, 30))
+        assert len(rows) == 100 + 40
+        assert len(fake.kwargs) == 2
+        assert fake.kwargs[1]["end_date"] < fake.kwargs[0]["end_date"]
+        assert {r.report_date for r in rows} == {date.fromisoformat(e[:4] + "-" + e[4:6] + "-" + e[6:]) for e in newest + older}

docs/USAGE.md

@@ -110,15 +110,26 @@ uv run python -m app.cli.sync basic                     # 股票基础信息（
 uv run python -m app.cli.sync calendar --start 20240101 --end 20241231
 uv run python -m app.cli.sync daily --symbols 600519.SH,000858.SZ --start 20230101
 uv run python -m app.cli.sync daily --all --start 20240101 --resume   # 全市场 + 断点续传
-uv run python -m app.cli.sync financial --all                       # 财务指标快照
+uv run python -m app.cli.sync financial --all                       # 财务指标（默认增量）
+uv run python -m app.cli.sync financial --all --full                 # 财务指标（强制全量重拉）
 uv run python -m app.cli.sync verify --symbol 600519.SH               # 新浪交叉验证
 uv run python -m app.cli.sync export [--years 2023,2024]              # 日线按年导出 Parquet
 ```
 
 - 每次拉取写入 `sync_log` 审计（来源 / 成功与否 / 行数 / 区间），禁止静默切换数据源。
-- `daily` 同时写入日线与复权因子；`--resume` 从本地最新交易日续传。
+- `daily` 同时写入日线与复权因子；`--resume` 从本地最新交易日续传。`financial`
+  默认增量：本地已含「最新应披露报告期」（按 A 股披露节奏推算）的股票直接跳过；
+  逐只落库，中断/限速后重跑同一命令即可续传补齐（只丢当前一只）。
+- 新浪兜底带「两边一致」真实性校验：Tushare 报错时，只有当该股票本地历史与新浪
+  返回数据**重叠部分一致**，才把新浪**新数据**（本地缺失键）导入，并标记
+  `source=sina`（日线另标记 `adjust=qfq` 前复权；新浪不提供复权因子）。
+  校验口径：财务为重叠报告期的 eps / 销售毛利率逐期一致（ROE 两端口径不同，
+  不作依据）；日线为最近重叠交易日的前复权价一致（老交易日在除权后不可比）。
+  本地无历史可对照或校验不一致 → 拒绝导入并告警，留待 Tushare 恢复后重跑补齐。
+- 限速时可加 `--sleep 秒数` 加大请求间隔；`financial --full` 重拉全部历史并覆盖既有行。
 - 新浪（`verify`）仅交叉验证，返回**前复权**口径，不会并入不复权主库。
-- 财务指标带 `announce_date`（公告日），研究侧只允许使用已公告数据（防未来函数）。
+- 财务指标带 `announce_date`（公告日）与 `source`（tushare/sina）；研究侧只允许
+  使用已公告数据（防未来函数），对同一报告期优先消费 `source=tushare` 的行。
 - `export`：`data/parquet/stock_daily/<year>.parquet`（列：symbol/trade_date/ohlc/volume/amount），
   由 pyarrow 写出，可直接用 pandas 读取分析，或作为 Qlib 等引擎的后续数据源。