样式

app/service/data_service.py

@@ -35,10 +35,10 @@ class UserCustomerDataAdaptor:
         p_end_date = pd.to_datetime(end_date).date()
         p_end_date = datetime.date(year=p_end_date.year, month=p_end_date.month, day=1) - datetime.timedelta(days=1)
         self.end_date = pd.to_datetime(str(p_end_date))
-        # self.end_date = pd.to_datetime("2020-11-23")
+        self.end_date = pd.to_datetime("2020-12-04")
         p_start_date = datetime.date(year=p_end_date.year, month=p_end_date.month, day=1)
         self.month_start_date = p_start_date
-        # self.month_start_date = pd.to_datetime("2020-11-16")
+        self.month_start_date = pd.to_datetime("2020-11-1")
         self.user_customer_order_df = self.get_user_customer_order_data()
         self.fund_nav_total, self.fund_cnav_total = self.get_customer_fund_nav_data()
         self.index_df = self.get_customer_index_nav_data()

app/service/portfolio_diagnose.py

@@ -634,10 +634,13 @@ class PortfolioDiagnose(object):
         # 覆盖的基金名称
         strategy_name_evaluate = "".join(uniqe_strategy_name)[:-1]
 
+        try:
             if len(uniqe_strategy) / float(len(strategy_list)) > 0.6:
                 strategy_distribution_evaluate = "策略上有一定分散"
             else:
                 strategy_distribution_evaluate = "策略分散程度不高"
+        except ZeroDivisionError:
+            strategy_distribution_evaluate = "策略分散程度不高"
         # 相关性
         if len(self.abandon_fund_corr) > 0:
             fund_corr_name = [str(group_order_df[group_order_df["fund_id"] == f_id]["fund_name"].values[0]) + "和" for

app/utils/draw.py

@@ -117,6 +117,7 @@ def draw_contribution_chart(xlabels, product_list, cumulative):
     ax1.set_xticks(loc)
     ax1.set_xticklabels(xlabels)
     ax1.yaxis.set_major_formatter(FuncFormatter(to_percent))
+    ax1.grid(axis='y')
     # temp_rate = np.zeros(max_x_count)
     # for i in range(len(product_list)):
     #     temp_rate += product_list[i]['data']

app/utils/jinjia2html.py

@@ -216,7 +216,6 @@ class DataIntegrate:
                 'title': '10月综述',
                 'brand_name': '小飞象<br>工作室',
                 'customer_old': 42, 'customer_level': '平衡型',
-                # 'new_evaluation': self.new_evaluation,
                 'position_years': '5年', 'planned_allocation_amount': 2000.00,
                 'now_allocation_amount': self.total_cost, 'now_yield': self.now_yield, 'index_yield': self.index_yield,
                 'expected_yield': 20, 'now_annualised_return': self.now_annualised_return,
@@ -273,5 +272,5 @@ class DataIntegrate:
 
 if __name__ == '__main__':
     start = time.time()
-    DataIntegrate()
+    DataIntegrate(ifa_id='189138514712358912',customer_id='6716613796058116091')
     print('耗时{}秒'.format(round(time.time()-start, 2)))

app/utils/timed_task.py

@@ -8,7 +8,7 @@
 
 from app.api.engine import tamp_user_engine, tamp_order_engine, TAMP_SQL
 from sqlalchemy.ext.declarative import declarative_base
-from sqlalchemy import Column, String, Integer
+from sqlalchemy import Column, String, Integer, and_
 from app.utils.jinjia2html import DataIntegrate
 
 Base = declarative_base()
@@ -36,25 +36,25 @@ class Customer(Base):
 
 
 def call_month_report(ifauser_id, ifauser_name, customer_id, customer_name):
-    print('开始制作IFA: {}, 客户: {}的基金月报'.format(ifauser_name, customer_name))
-    try:
+    # print('开始制作IFA: {}, 客户: {}的基金月报'.format(ifauser_name, customer_name))
+    # try:
     DataIntegrate(ifauser_id, customer_id, '{}_{}_.pdf'.format(ifauser_name, customer_name))
-    except:
-        print("发生异常，下一个走起！")
+    # except IndexError:
+    #     print("发生异常，下一个走起！")
 
 
 
 with TAMP_SQL(tamp_user_engine) as tamp_user, TAMP_SQL(tamp_order_engine) as tamp_order:
     tamp_user_session = tamp_user.session
     # 获取所有 ifauser
-    ifausers = tamp_user_session.query(IfaUser).all()
+    ifausers = tamp_user_session.query(IfaUser).filter(IfaUser.id.in_(['USER_INFO15916072577875'])).all()
     
     tamp_order_session = tamp_order.session
     # for ifauser in ifausers:
     for ifauser in ifausers:
         # 获取某个 ifa 的所有 customer
         customers = tamp_order_session.query(Ifa_Customer).\
-                        filter_by(ifa_id = ifauser.id).all()
+                        filter(and_(Ifa_Customer.ifa_id == ifauser.id, Ifa_Customer.customer_id.in_(['6716613804182482944', '6716613804966817792']))).all()
                         
         # 循环这个 ifa 的所有 customer
         for customer in customers: