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@@ -22,6 +22,11 @@ class Mvp:
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'90-94年生': '90后',
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'95-99年生': '95后'
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}
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+
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+ age_list = ['85后', '95后']
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+
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+ city_list = ['上海市', '上海周边']
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+
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tag_table = {
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'用户画像-审美偏好': ['mvp_crowd_info_aesthetic_preference', 'aesthetic_preference'],
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'用户画像-行为兴趣': ['mvp_crowd_info_behavior', 'behavioral_interest'],
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@@ -490,26 +495,26 @@ class Mvp:
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else:
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print('获取所有case的数据...')
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# for city in self.citys:
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- # for city in [city]:
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- for age in self.age:
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- for crowd_type in self.crowd:
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- if age == '85-89年生' and city == '上海市':
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- print('上海市85后数据导入人工值，无需计算...')
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- pass
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- else:
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- # print(' {}{}'.format(city, age))
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- # people_uuids = self.get_people_uuid_by_type(crowd_type)
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- people_uuids = self.people_filter(city, age, crowd)
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- behavior_data = None
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- if len(people_uuids) > 0:
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- print('{}-{}-{}'.format(city, age, crowd_type))
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- datas = self.behavior_tag_init(city, age, people_uuids)
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- data_start.append(datas)
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- all_data, behavior_data_1 = self.calculation_standard_score(datas, city, age, crowd_type)
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- result.append(all_data)
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- behavior_data = behavior_data_1
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- if behavior_data:
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- module_scores.extend(self.module_score(crowd_type, city, age, behavior_data))
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+ for cy in self.city_list:
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+ for age in self.age_list:
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+ for crowd_type in self.crowd:
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+ if age == '85-89年生' and cy == '上海市':
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+ print('上海市85后数据导入人工值，无需计算...')
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+ pass
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+ else:
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+ # print(' {}{}'.format(city, age))
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+ # people_uuids = self.get_people_uuid_by_type(crowd_type)
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+ people_uuids = self.people_filter(cy, age, crowd)
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+ behavior_data = None
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+ if len(people_uuids) > 0:
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+ print('{}-{}-{}'.format(cy, age, crowd_type))
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+ datas = self.behavior_tag_init(cy, age, people_uuids)
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+ data_start.append(datas)
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+ all_data, behavior_data_1 = self.calculation_standard_score(datas, cy, age, crowd_type)
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+ result.append(all_data)
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+ behavior_data = behavior_data_1
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+ if behavior_data:
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+ module_scores.extend(self.module_score(crowd_type, cy, age, behavior_data))
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# data_list = []
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# for e in data_start:
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# for key in e.keys():
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