add index daily basic schema and data ingestion for index daily indicators

app/ingest/tushare.py

@@ -365,6 +365,21 @@ _TABLE_SCHEMAS: Dict[str, str] = {
             PRIMARY KEY (ts_code, trade_date)
         );
     """,
+    "index_dailybasic": """
+        CREATE TABLE IF NOT EXISTS index_dailybasic (
+            ts_code TEXT,
+            trade_date TEXT,
+            turnover REAL,
+            turnover_ratio REAL,
+            pe_ttm REAL,
+            pb REAL,
+            ps_ttm REAL,
+            dv_ttm REAL,
+            total_mv REAL,
+            circ_mv REAL,
+            PRIMARY KEY (ts_code, trade_date)
+        );
+    """,
     "index_weight": """
         CREATE TABLE IF NOT EXISTS index_weight (
             id INTEGER PRIMARY KEY AUTOINCREMENT,
@@ -607,6 +622,18 @@ _TABLE_COLUMNS: Dict[str, List[str]] = {
         "vol",
         "amount",
     ],
+    "index_dailybasic": [
+        "ts_code",
+        "trade_date",
+        "turnover",
+        "turnover_ratio",
+        "pe_ttm",
+        "pb",
+        "ps_ttm",
+        "dv_ttm",
+        "total_mv",
+        "circ_mv",
+    ],
     "index_weight": [
         "index_code",
         "trade_date",
@@ -1250,6 +1277,35 @@ def fetch_index_weight(start: date, end: date, index_code: str) -> Iterable[Dict
     return _df_to_records(df, ["index_code", "trade_date", "ts_code", "weight"])
 
 
+def fetch_index_dailybasic(start: date, end: date, ts_code: str) -> Iterable[Dict]:
+    """拉取指定指数的每日指标数据。
+    
+    Args:
+        start: 开始日期
+        end: 结束日期
+        ts_code: 指数代码，如 "000300.SH"
+        
+    Returns:
+        指数每日指标数据
+    """
+    client = _ensure_client()
+    start_str = _format_date(start)
+    end_str = _format_date(end)
+    LOGGER.info(
+        "拉取指数每日指标：%s %s-%s",
+        ts_code,
+        start_str,
+        end_str,
+        extra=LOG_EXTRA,
+    )
+    df = _fetch_paginated(
+        "index_dailybasic",
+        {"ts_code": ts_code, "start_date": start_str, "end_date": end_str},
+        limit=5000,
+    )
+    return _df_to_records(df, ["ts_code", "trade_date", "turnover", "turnover_ratio", "pe_ttm", "pb", "ps_ttm", "dv_ttm", "total_mv", "circ_mv"])
+
+
 def fetch_fund_basic(asset_class: str = "E", status: str = "L") -> Iterable[Dict]:
     client = _ensure_client()
     LOGGER.info("拉取基金基础信息：asset_class=%s status=%s", asset_class, status, extra=LOG_EXTRA)
@@ -1434,6 +1490,29 @@ def ensure_index_weights(start: date, end: date, index_codes: Optional[Sequence[
             LOGGER.info("指数 %s 的成分股权重数据已完整，跳过", index_code)
 
 
+def ensure_index_dailybasic(start: date, end: date, index_codes: Optional[Sequence[str]] = None) -> None:
+    """确保指定指数的每日指标数据完整。
+    
+    Args:
+        start: 开始日期
+        end: 结束日期
+        index_codes: 指数代码列表，如果为 None 则使用默认的 A 股指数
+    """
+    if index_codes is None:
+        # 默认获取 A 股指数的每日指标
+        index_codes = [code for code in INDEX_CODES if code.endswith(".SH") or code.endswith(".SZ")]
+    
+    for index_code in index_codes:
+        start_str = _format_date(start)
+        end_str = _format_date(end)
+        
+        if _range_needs_refresh("index_dailybasic", "trade_date", start_str, end_str, ts_code=index_code):
+            LOGGER.info("指数 %s 的每日指标数据不完整，开始拉取 %s-%s", index_code, start_str, end_str)
+            save_records("index_dailybasic", fetch_index_dailybasic(start, end, index_code))
+        else:
+            LOGGER.info("指数 %s 的每日指标数据已完整，跳过", index_code)
+
+
 def ensure_data_coverage(
     start: date,
     end: date,
@@ -1500,6 +1579,14 @@ def ensure_data_coverage(
             continue
         LOGGER.info("开始拉取指数成分股权重：%s %s-%s", index_code, start_str, end_str)
         save_records("index_weight", fetch_index_weight(start, end, index_code))
+    
+    advance("处理指数每日指标数据")
+    for index_code in default_indices:
+        if not force and _should_skip_range("index_dailybasic", "trade_date", start, end, index_code):
+            LOGGER.info("指数 %s 的每日指标已覆盖 %s-%s，跳过", index_code, start_str, end_str)
+            continue
+        LOGGER.info("开始拉取指数每日指标：%s %s-%s", index_code, start_str, end_str)
+        save_records("index_dailybasic", fetch_index_dailybasic(start, end, index_code))
 
     date_cols = {
         "daily_basic": "trade_date",
@@ -1510,6 +1597,7 @@ def ensure_data_coverage(
     date_cols.update(
         {
             "index_daily": "trade_date",
+            "index_dailybasic": "trade_date",
             "index_weight": "trade_date",
             "fund_nav": "nav_date",
             "fut_daily": "trade_date",