fix: route index files to get_index_bars() in sync-daily/sync-all

Root cause: _fetch_all_daily_bars used get_security_bars() for all files,
but index server responses have 4 extra bytes per record. Wrong parser
produced garbage dates like '12897-50-77' for sh000001, sh000300, etc.

Fix: add _is_index_code() to detect index codes by prefix (sh: 00/88/99,
sz: 39) and route to get_index_bars() accordingly.

Bumps version to 1.6.1.

README.md

@@ -785,6 +785,14 @@ ruff format --check src/ tests/                              # format check
 
 ## Changelog
 
+### 1.6.1 (2026-06-07)
+
+**Bug 修复** — 修复 sync-all/sync-daily 对指数文件误用股票解析器导致垃圾日期的问题。
+
+- 修复 `_fetch_all_daily_bars` 对指数文件（sh00/sh88/sh99, sz39）错误调用 `get_security_bars()` 的问题
+- 指数文件现在正确使用 `get_index_bars()`（服务端响应每条记录多 4 字节上涨/下跌家数）
+- 新增 `_is_index_code()` 辅助函数，根据市场和代码前缀判断证券类型
+
 ### 1.6.0 (2026-06-07)
 
 **离线数据写入同步** — 从服务端获取最新日线数据并写入本地通达信 .day 文件，替代通达信内置下载功能。

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "easy-tdx"
-version = "1.6.0"
+version = "1.6.1"
 description = "通达信 TCP 协议行情数据客户端，支持在线行情、离线数据读取与写入同步"
 readme = "README.md"
 requires-python = ">=3.10"

src/easy_tdx/cli/cmd_offline.py

@@ -459,8 +459,26 @@ def _df_to_bars(df: pd.DataFrame) -> list[SecurityBar]:
     return bars
 
 
+def _is_index_code(exchange: str, code: str) -> bool:
+    """根据市场和代码前缀判断是否为指数。
+
+    指数需要调用 get_index_bars()（服务端响应每条记录多 4 字节），
+    而非 get_security_bars()。
+    """
+    head = code[:2]
+    if exchange == "sh":
+        return head in ("00", "88", "99")
+    if exchange == "sz":
+        return head == "39"
+    return False
+
+
 def _fetch_all_daily_bars(
-    client: TdxClient, market: int, code: str, need_full: bool = False
+    client: TdxClient,
+    market: int,
+    code: str,
+    need_full: bool = False,
+    is_index: bool = False,
 ) -> list[SecurityBar]:
     """从服务端分页获取全部日线数据。
 
@@ -470,19 +488,22 @@ def _fetch_all_daily_bars(
         code: 6 位股票代码。
         need_full: True 表示拉取全量历史（空文件场景），
                    False 表示只拉最近一页（增量更新）。
+        is_index: True 表示指数，使用 get_index_bars()。
 
     Returns:
         SecurityBar 列表（按日期升序）。
     """
     from ..models.enums import KlineCategory
 
+    fetch_fn = client.get_index_bars if is_index else client.get_security_bars
+
     all_bars: list[SecurityBar] = []
     start = 0
     page_size = 800
     max_pages = 50 if need_full else 1  # 50 页 = 40000 条，足够覆盖 A 股全部历史
 
     for _ in range(max_pages):
-        df = client.get_security_bars(market, code, KlineCategory.DAY, start, page_size)
+        df = fetch_fn(market, code, KlineCategory.DAY, start, page_size)
         if df.empty:
             break
         all_bars.extend(_df_to_bars(df))
@@ -517,8 +538,11 @@ def _sync_one_daily(client: TdxClient, filepath: Path) -> tuple[int, str]:
     last_date = get_last_bar_date(filepath)
     need_full = last_date is None
 
+    # 判断是否为指数（指数需要 get_index_bars，响应格式不同）
+    is_index = _is_index_code(exchange, code)
+
     # 从服务端分页获取日线
-    bars = _fetch_all_daily_bars(client, market, code, need_full=need_full)
+    bars = _fetch_all_daily_bars(client, market, code, need_full=need_full, is_index=is_index)
     if not bars:
         return 0, "服务端无数据"