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																@@ -129,11 +129,11 @@ class Mvp: 
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																     sql_15 = ''' 
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																     sql_15 = ''' 
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																         SELECT 
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																         SELECT 
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																             a.uuid, 
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																             a.uuid, 
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																-            GROUP_CONCAT(DISTINCT a.city, a.province) AS city, 
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																-            GROUP_CONCAT(DISTINCT a.nld) AS nld, 
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																-            GROUP_CONCAT(DISTINCT a.sex) AS sex, 
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																-            GROUP_CONCAT(DISTINCT b.sub_option_id), 
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																-            GROUP_CONCAT(DISTINCT a.testcase_id) 
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																+            IFNULL(GROUP_CONCAT(DISTINCT a.city, a.province), 00) AS city, 
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																+            IFNULL(GROUP_CONCAT(DISTINCT a.nld), 00) AS nld, 
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																+            IFNULL(GROUP_CONCAT(DISTINCT a.sex), 00) AS sex, 
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																+            IFNULL(GROUP_CONCAT(DISTINCT b.sub_option_id), 00) as sub_option_ids, 
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																+            IFNULL(GROUP_CONCAT(DISTINCT a.testcase_id), 00) as testcase_ids 
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																         FROM 
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																         FROM 
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																             f_t_daren_score_2 a 
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																             f_t_daren_score_2 a 
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																         LEFT JOIN d_shangju_tiku_02 b ON a.testcase_id = b.testcase_id 
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																         LEFT JOIN d_shangju_tiku_02 b ON a.testcase_id = b.testcase_id 
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																@@ -245,39 +245,42 @@ class Mvp: 
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																         """ 
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																         """ 
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																         people_info_city = self.marketing_db.select(self.sql_15) 
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																         people_info_city = self.marketing_db.select(self.sql_15) 
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																         people_infos = [] 
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																         people_infos = [] 
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																-        # for people in people_info_city: 
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																-        #     uuid = people[0] 
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																-        #     city = people[1] 
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																-        #     if city: 
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																-        #         city = str(city).split('市')[0] + '市' 
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																-        #     nld = people[2] 
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																-        #     if nld: 
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																-        #         nld_1 = list(str(people[2]).split(',')) 
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																-        #         if len(nld) > 0: 
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																-        #             nld_1 = nld[0] 
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																-        #     else: 
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																-        #         nld_1 = '' 
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																-        #     sex = people[3] 
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																-        #     sub_option_ids = people[4] 
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																-        #     testcaseid = people[5] 
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																-        #     testcastids = list(map(int, str(testcaseid).split(','))) 
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																-        #     gt_75 = [x for x in testcastids if x > 75] 
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																-        #     if city is None and len(gt_75) > 0: 
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																-        #         # 从答题结果中获取城市信息 
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																-        #         citys = self.marketing_db.select(self.sql_16, [uuid]) 
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																-        #         if len(citys) > 0: 
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																-        #             city = citys[0][1] 
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																-        #     # 根据用户子选项id集合,获取用户的人群分类 
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																-        #     crowd = [] 
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																-        #     if len(gt_75) > 0: 
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																-        #         # 特定的测试人群分类从答题结果中获取 
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																-        #         sub_option_ids = self.marketing_db.select(self.sql_17, [uuid]) 
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																-        #         for option in sub_option_ids: 
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																-        #             crowd.append(self.crowd_info[option[1]]) 
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																-        #     else: 
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																-        #         crowd.extend(self.get_people_uuid_by_sub_option_ids(sub_option_ids)) 
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																-        #     people_info = PeopleInfo(uuid, city, nld_1, sex, crowd) 
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																-        #     people_infos.append(people_info) 
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																+        for people in people_info_city: 
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																+            uuid = people[0] 
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																+            city = people[1] 
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																+            if str(city).strip(): 
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																+                city = str(city).split('市')[0] + '市' 
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																+            nld = people[2] 
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																+            if str(nld).strip(): 
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																+                nld_1 = list(str(people[2]).split(',')) 
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																+                if len(nld) > 0: 
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																+                    nld_1 = nld[0] 
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																+            else: 
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																+                nld_1 = '' 
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																+            sex = people[3] 
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																+            sub_option_ids = people[4] 
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																+            testcaseid = people[5] 
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																+            testcastids = list(map(int, str(testcaseid).split(','))) 
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																+            gt_75 = [x for x in testcastids if x > 75] 
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																+            if city is None and len(gt_75) > 0: 
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																+                # 从答题结果中获取城市信息 
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																+                citys = self.marketing_db.select(self.sql_16, [uuid]) 
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																+                if len(citys) > 0: 
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																+                    city = citys[0][1] 
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																+                else: 
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																+                    city = '无城市' 
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																+            # 根据用户子选项id集合,获取用户的人群分类 
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																+            crowd = [] 
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																+            if len(gt_75) > 0: 
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																+                # 特定的测试人群分类从答题结果中获取 
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																+                sub_option_ids = self.marketing_db.select(self.sql_17, [uuid]) 
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																+                for option in sub_option_ids: 
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																+                    crowd.append(self.crowd_info[option[1]]) 
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																+            else: 
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																+                if str(sub_option_ids).strip(): 
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																+                    crowd.extend(self.get_people_uuid_by_sub_option_ids(sub_option_ids)) 
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																+            people_info = PeopleInfo(uuid, city, nld_1, sex, crowd) 
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																+            people_infos.append(people_info) 
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																         return people_infos 
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																         return people_infos 
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																     def people_filter(self, city, nld, crowd): 
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																     def people_filter(self, city, nld, crowd): 
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