持仓报告不经过建议计算

app/service/result_service_v2.py

@@ -209,13 +209,13 @@ class UserCustomerResultAdaptor(UserCustomerDataAdaptor):
         report_data = {}
 
         cur_folio_result_cnav_data = self.total_customer_order_cnav_df.copy()
-        cur_folio_order_data = self.user_customer_order_df
-        freq_max = cur_folio_order_data["freq"].max()
-        # freq_list = [get_frequency(cur_folio_result_cnav_data[[p_nav]]) for p_nav in
-        #              cur_folio_result_cnav_data.columns]
-        # freq_dict = {250: 1, 52: 2, 24: 4, 12: 3, 4: 5}
-        # freq_max = freq_dict[min(freq_list)]
-
+        cur_folio_order_data = self.user_customer_order_df.copy()
+        # freq_max = cur_folio_order_data["freq"].max()
+        freq_list = [get_frequency(cur_folio_result_cnav_data[[p_nav]]) for p_nav in
+                     cur_folio_result_cnav_data.columns]
+        freq_dict = {250: 1, 52: 2, 24: 4, 12: 3, 4: 5}
+        freq_max = freq_dict[min(freq_list)]
+        #
         fund_id_list = list(cur_folio_order_data["fund_id"].unique())
         fund_id_list_earn = [i + "_earn" for i in fund_id_list]
         fund_id_list_amount = [i + "_net_amount" for i in fund_id_list]
@@ -634,6 +634,6 @@ class UserCustomerResultAdaptor(UserCustomerDataAdaptor):
         folio_cnav_data = folio_cnav_data.fillna(method="bfill")
         old_correlation = cal_correlation(folio_cnav_data)
         old_correlation = old_correlation.fillna(1).round(2)
-        old_correlation.columns = old_correlation.columns.map(lambda x: get_fund_name(x).values[0][0])
-        old_correlation.index = old_correlation.index.map(lambda x: get_fund_name(x).values[0][0])
+        old_correlation.columns = old_correlation.columns.map(lambda x: get_fund_name(x, self.all_fund_type_dict[x]).values[0][0])
+        old_correlation.index = old_correlation.index.map(lambda x: get_fund_name(x, self.all_fund_type_dict[x]).values[0][0])
         return old_correlation

app/utils/jinjia2html_v2.py

@@ -57,7 +57,8 @@ class DataIntegrate:
                 'suggestions_result_asset': {},
                 'return_compare_pic': [],
                 'indicator_compare': [],
-                'new_group_evaluation': []
+                'new_group_evaluation': [],
+                "correlation": group_result["correlation"]
             }
 
             # 旧持仓组合点评
@@ -83,8 +84,15 @@ class DataIntegrate:
             self.all_folio_result[group_name] = cur_group_portfolio_result
 
     def get_portfolio_diagnose(self, portfolio, client_type=1, invest_amount=10000000):
-        portfolio_diagnose = PortfolioDiagnose(client_type=client_type, portfolio=portfolio, invest_amount=float(invest_amount),
+        if invest_amount < 10000000:
+            invest_amount = 10000000
+        folio_fund_dict = {}
+        for fd in portfolio:
+            folio_fund_dict[fd] = self.user_customer.all_fund_type_dict[fd]
+        portfolio_diagnose = PortfolioDiagnose(client_type=client_type, portfolio=folio_fund_dict,
+                                               invest_amount=float(invest_amount),
                                                start_date=self.user_customer.start_date)
+        if self.type == 2:
             portfolio_diagnose.optimize()
         return portfolio_diagnose
 
@@ -167,7 +175,7 @@ class DataIntegrate:
 
     def get_old_correlation(self, portfolio_diagnose, cur_group_portfolio_result):
         """旧相关性分析."""
-        old_correlation = portfolio_diagnose.old_correlation
+        old_correlation = cur_group_portfolio_result["correlation"]
         old_correlation_columns = old_correlation.columns.tolist()
         old_correlation_values = old_correlation.values.tolist()
         cur_group_portfolio_result["old_correlation"] = list(zip(range(1, len(old_correlation_columns)+1), old_correlation_columns, old_correlation_values))