添加个基评价

app/pypfopt/base_optimizer.py

@@ -305,8 +305,6 @@ class BaseConvexOptimizer(BaseOptimizer):
             is_sector = [sector_mapper[t] == sector for t in self.tickers]
             self._constraints.append(cp.sum(self._w[is_sector]) >= sector_lower[sector])
 
-        print(self._constraints)
-
     def convex_objective(self, custom_objective, weights_sum_to_one=True, **kwargs):
         """
         Optimise a custom convex objective function. Constraints should be added with

app/utils/fund_rank.py

 # import pymysql
 from sqlalchemy import create_engine
+
 db = create_engine(
-    'mysql+pymysql://tamp_fund:@imeng408@tamper.mysql.polardb.rds.aliyuncs.com:3306/tamp_fund?charset=utf8mb4')
+    'mysql+pymysql://tamp_fund:@imeng408@tamper.mysql.polardb.rds.aliyuncs.com:3306/tamp_fund?charset=utf8mb4',
+    pool_size=50,
+    pool_recycle=3600,
+    pool_pre_ping=True)
 con = db.connect()
 
 import logging
-logging.basicConfig(level=logging.INFO)
 
+logging.basicConfig(level=logging.INFO)
 
 from app.utils.week_evaluation import *
 
@@ -297,4 +301,4 @@ if __name__ == '__main__':
     # fund_rank.to_csv("fund_rank.csv", encoding='gbk')
     # df = pd.read_csv('fund_rank.csv')
     # df.to_sql("fund_rank", con, if_exists='replace')
-    con.close()
\ No newline at end of file
+    con.close()