feat(data): 15min数据补全—路径参数化+cron入口+回填+设计文档

- download_minute.py: STOCK_ROOT环境变量参数化(Mac/NAS兼容); 修tencent备源amount聚合 last→sum
- refresh_15min_daily.py: 新建cron入口(交易日判断baostock/直连pop代理/日志)
- 回填470缺口(170 SH/SZ成功, 300 BSE源不支持)
- docs/data/15min-data-design.md: 15min数据层设计文档(源/覆盖/脚本/刷新/约束/路径映射)

scripts/data_platform/download_minute.py

@@ -23,6 +23,7 @@
 
 import argparse
 import json
+import os
 import re
 import sys
 import time
@@ -42,14 +43,16 @@ logging.basicConfig(
 logger = logging.getLogger(__name__)
 
 # --- 配置 ---
-OUTPUT_DIR = Path("/Volumes/stock/minute_kline/15min")
+# STOCK_ROOT 可通过环境变量覆盖；默认 Mac 挂载点，NAS 用 STOCK_ROOT=/volume1/stock
+STOCK_ROOT = Path(os.environ.get("STOCK_ROOT", "/Volumes/stock"))
+OUTPUT_DIR = STOCK_ROOT / "minute_kline" / "15min"
 PROGRESS_FILE = OUTPUT_DIR / "download_progress.json"
 REQUEST_INTERVAL = 0.3
 MAX_RETRIES = 3
 CONSECUTIVE_FAIL_PAUSE = 60
 MAX_CONSECUTIVE_FAILS = 5
-HS300_FILE = Path("/Volumes/stock/A股数据/stock_info/hs300_constituents_latest.csv")
-ALL_STOCKS_FILE = Path("/Volumes/stock/A股数据/stock_info/stock_basic_info_raw_20260326_113530.csv")
+HS300_FILE = STOCK_ROOT / "A股数据" / "stock_info" / "hs300_constituents_latest.csv"
+ALL_STOCKS_FILE = STOCK_ROOT / "A股数据" / "stock_info" / "stock_basic_info_raw_20260326_113530.csv"
 
 HEADERS = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7)"}
 
@@ -141,7 +144,7 @@ def _aggregate_1m_to_15m(df: pd.DataFrame) -> pd.DataFrame:
         low=("price", "min"),
         close=("price", "last"),
         volume=("vol", "sum"),
-        amount=("amount", "last"),
+        amount=("amount", "sum"),
     ).reset_index()
 
     return pd.DataFrame({