fix: fetcher 数据库路径可移植化（db.py get_conn 统一，去除 Windows 硬编码）

src/analysis/mine_patterns.py

@@ -12,8 +12,9 @@ import pandas as pd
 
 warnings.filterwarnings('ignore')
 
-DB = r'C:' + chr(92) + 'Users' + chr(92) + 'lookt' + chr(92) + 'a_stock_timeline' + chr(92) + 'data' + chr(92) + 'a_stock.db'
-OUT = r'E:' + chr(92) + 'Data' + chr(92) + 'skills' + chr(92) + 'a-stock-timeline-patterns' + chr(92) + 'references'
+import os
+DB = os.environ.get('MINE_DB', 'data/a_stock.db')
+OUT = os.environ.get('MINE_OUT_DIR', '../skills-out/references')
 
 IDX_NAMES = {'sh000001': '上证指数', 'sz399001': '深证成指', 'sh000300': '沪深300',
              'sz399006': '创业板指', 'sh000688': '科创50'}

src/fetcher/calendar_fetcher.py

@@ -1,13 +1,15 @@
 """交易日历采集 - AkShare tool_trade_date_hist_sina"""
 import warnings, logging, sqlite3
 from datetime import datetime
+from pathlib import Path
 import pandas as pd
+from src.storage.db import get_conn
 import akshare as ak
 
 logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
 log = logging.getLogger(__name__)
 
-DB = r'C:\Users\lookt\a_stock_timeline\data\a_stock.db'
+DB = str(Path(__file__).resolve().parent.parent.parent / 'data' / 'a_stock.db')
 
 def fetch_calendar():
     df = ak.tool_trade_date_hist_sina()
@@ -17,7 +19,7 @@ def fetch_calendar():
     df['trade_date'] = pd.to_datetime(df['trade_date'])
     df['is_trade_day'] = df['trade_date'].dt.dayofweek.apply(lambda x: 0 if x >= 5 else 1)
     df['trade_date'] = df['trade_date'].dt.strftime('%Y-%m-%d')
-    conn = sqlite3.connect(DB)
+    conn = get_conn()
     df.to_sql('trade_calendar', conn, if_exists='replace', index=False)
     conn.close()
     log.info(f'写入 trade_calendar: {len(df)} 行')

src/fetcher/cn_news_fetcher.py

@@ -1,13 +1,15 @@
 """A股新闻采集 - AkShare stock_news_em"""
 import warnings, logging, sqlite3
 from datetime import datetime
+from pathlib import Path
 import pandas as pd
+from src.storage.db import get_conn
 import akshare as ak
 
 logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
 log = logging.getLogger(__name__)
 
-DB = r'C:\Users\lookt\a_stock_timeline\data\a_stock.db'
+DB = str(Path(__file__).resolve().parent.parent.parent / 'data' / 'a_stock.db')
 
 def fetch_news():
     df = ak.stock_news_em(symbol='A股')
@@ -32,7 +34,7 @@ def fetch_news():
     df['inserted_at'] = datetime.now().isoformat()
     if 'id' not in df.columns:
         df.insert(0, 'id', range(1, len(df) + 1))
-    conn = sqlite3.connect(DB)
+    conn = get_conn()
     df.to_sql('news_cn', conn, if_exists='replace', index=False)
     conn.close()
     log.info(f'写入 news_cn: {len(df)} 行')

src/fetcher/fund_flow_fetcher.py

@@ -4,6 +4,7 @@ import warnings
 import logging
 from urllib.parse import urlparse
 
+from pathlib import Path
 import pandas as pd
 import requests
 
@@ -13,7 +14,7 @@ warnings.filterwarnings('ignore')
 logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
 log = logging.getLogger(__name__)
 
-DB = r'C:\Users\lookt\a_stock_timeline\data\a_stock.db'
+DB = str(Path(__file__).resolve().parent.parent.parent / 'data' / 'a_stock.db')
 
 # 出站请求域名白名单（SSRF 防护：仅 http + 白名单主机，禁重定向跟随）
 _ALLOWED_HOSTS = {'data.10jqka.com.cn'}

src/fetcher/global_index_fetcher.py

@@ -1,13 +1,15 @@
 """外盘指数采集 - AkShare index_us_stock_sina"""
 import warnings, logging, sqlite3
 from datetime import datetime
+from pathlib import Path
 import pandas as pd
+from src.storage.db import get_conn
 import akshare as ak
 
 logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
 log = logging.getLogger(__name__)
 
-DB = r'C:\Users\lookt\a_stock_timeline\data\a_stock.db'
+DB = str(Path(__file__).resolve().parent.parent.parent / 'data' / 'a_stock.db')
 
 # 要采集的外盘指数
 INDICES = [
@@ -17,7 +19,7 @@ INDICES = [
 ]
 
 def fetch_global_index():
-    conn = sqlite3.connect(DB)
+    conn = get_conn()
     results = []
     for code, symbol, name in INDICES:
         try: