From 0b19869f9458d2580ba5f9b366b1e1bb8c512eeb Mon Sep 17 00:00:00 2001
From: xiaowu <xiaowu@shellway.wang>
Date: Sat, 15 Aug 2026 10:43:08 +0800
Subject: [PATCH] =?UTF-8?q?fix:=20=E6=97=A5=E7=BA=BF/=E5=A4=8D=E6=9D=83/?=
 =?UTF-8?q?=E6=AF=8F=E6=97=A5=E6=8C=87=E6=A0=87=E6=8E=A5=E5=8F=A3=E6=94=B9?=
 =?UTF-8?q?=E5=9B=9E=E6=99=AE=E9=80=9A=E7=89=88=EF=BC=88daily=5Fvip/adj=5F?=
 =?UTF-8?q?factor=5Fvip=20=E6=8E=A5=E5=8F=A3=E5=90=8D=E4=B8=8D=E5=AD=98?=
 =?UTF-8?q?=E5=9C=A8=EF=BC=8Cdaily=5Fbasic=5Fvip=20=E6=97=A0=E6=9D=83?=
 =?UTF-8?q?=E9=99=90=EF=BC=9B=E6=99=AE=E9=80=9A=E7=89=885120=E7=A7=AF?=
 =?UTF-8?q?=E5=88=86=E5=8F=AF=E7=94=A8=EF=BC=89?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
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---
 quantitative_data/importer.py | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/quantitative_data/importer.py b/quantitative_data/importer.py
index 40770a0..6dfbd82 100644
--- a/quantitative_data/importer.py
+++ b/quantitative_data/importer.py
@@ -427,7 +427,7 @@ def import_daily_for_stock(ts_code: str, start_date: str, end_date: str, conn) -
     pro = get_ts_pro()
 
     def fetch():
-        return pro.daily_vip(
+        return pro.daily(
             ts_code=ts_code,
             start_date=start_date.replace("-", ""),
             end_date=end_date.replace("-", ""),
@@ -485,7 +485,7 @@ def import_daily_by_date(
 ):
     """
     按交易日批量导入日线行情 (高效模式)
-    使用 pro.daily_vip(trade_date='YYYYMMDD') 一次性拉取全市场当日数据
+    使用 pro.daily(trade_date='YYYYMMDD') 一次性拉取全市场当日数据
     大幅减少 API 调用次数: 约250交易日/年 × 16年 ≈ 4000次 (原来需要 5000股票 × 16年 = 80000次)
 
     参数:
@@ -576,7 +576,7 @@ def import_daily_by_date(
             td_str = td.strftime("%Y%m%d") if hasattr(td, "strftime") else str(td).replace("-", "")
 
             def fetch():
-                return pro.daily_vip(trade_date=td_str)
+                return pro.daily(trade_date=td_str)
 
             df = fetch_with_retry(fetch, max_retries=3)
             if df is None or df.empty:
@@ -679,7 +679,7 @@ def import_daily_basic(
             kwargs["trade_date"] = trade_date.replace("-", "")
 
         def fetch():
-            return pro.daily_basic_vip(**kwargs)
+            return pro.daily_basic(**kwargs)
 
         df = fetch_with_retry(fetch, max_retries=2)
         if df is None or df.empty:
@@ -745,7 +745,7 @@ def import_daily_basic_by_date(
             pro = get_ts_pro()
 
             def fetch_daily_basic():
-                return pro.daily_basic_vip(trade_date=td)
+                return pro.daily_basic(trade_date=td)
 
             df = fetch_with_retry(fetch_daily_basic, max_retries=3)
             if df is not None and not df.empty:
@@ -799,7 +799,7 @@ def import_adj_factor(
             kwargs["ts_code"] = ts_code
 
         def fetch():
-            return pro.adj_factor_vip(**kwargs)
+            return pro.adj_factor(**kwargs)
 
         df = fetch_with_retry(fetch, max_retries=2)
         if df is None or df.empty:
@@ -1635,7 +1635,7 @@ def resume_daily_by_date(
             td_compact = td_str.replace("-", "")
 
             def fetch():
-                return pro.daily_vip(trade_date=td_compact)
+                return pro.daily(trade_date=td_compact)
 
             df = fetch_with_retry(fetch, max_retries=3)
             if df is None or df.empty: