fix20230111

apps/inves_manage/project_manager.py

@@ -83,7 +83,8 @@ def search_project1():
             ProjectManagement.development_area == development_area if development_area else text(''),
             ProjectManagement.investment_volume > investment_volume[0] if investment_volume else text(''),
             ProjectManagement.investment_volume <= investment_volume[1] if investment_volume else text(''),
-            ProjectManagement.investor_district.like('%{}%'.format(investor_district)) if investor_district else text(''),
+            ProjectManagement.investor_district.like('%{}%'.format(investor_district)) if investor_district else text(
+                ''),
             ProjectManagement.industry.like('%{}%'.format(industry1)) if industry1 else text(''),
             ProjectManagement.industry2.like('%{}%'.format(industry2)) if industry2 else text(''),
             ProjectManagement.investor_name.like('%{}%'.format(investor_name)) if investor_name else text(''),

apps/inves_manage/statistic_analysis_view.py

@@ -396,18 +396,19 @@ def get_data_li(district_li, current_year):
 def statistic_shanxi_data():
     req_dic = request.get_json()
     flag = req_dic['flag']  # 1项目签约金额完成情况, 2新开工项目计划投资额完成情况, 3固定资产投资项目资金到位完成情况
-    data_time = req_dic['data_time']  # ["2022", "07", "18"]
-    data_time = data_time[0] + '年' + data_time[1] + '-' + data_time[2] + '月'
+    # data_time = req_dic['data_time']  # ["2022", "07", "18"]
+    # data_time = data_time[0] + '年' + data_time[1] + '-' + data_time[2] + '月'
     try:
         # 获取最新的时间周期
         data_obj = ShanxiTarget.query.order_by(sqlalchemy.desc(ShanxiTarget.id)).first()
-        data_time1 = data_obj.data_time
-        if not data_time1:
-            # 获取最新时间周期的数据
-            target_obj_li = ShanxiTarget.query.filter_by(data_time=data_time1, is_delete=0).all()
-        else:
-            # 获取所选时间周期条件的数据
-            target_obj_li = ShanxiTarget.query.filter_by(data_time=data_time, is_delete=0).all()
+        data_time = data_obj.data_time
+        # if not data_time1:
+        #     # 获取最新时间周期的数据
+        #     target_obj_li = ShanxiTarget.query.filter_by(data_time=data_time1, is_delete=0).all()
+        # else:
+        #     # 获取所选时间周期条件的数据
+        #     target_obj_li = ShanxiTarget.query.filter_by(data_time=data_time, is_delete=0).all()
+        target_obj_li = ShanxiTarget.query.filter_by(data_time=data_time, is_delete=0).all()
 
         data1 = ''
         data2 = ''