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+from flask import Flask, request, render_template
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+import os
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+from werkzeug.utils import secure_filename
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+import time
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+import json
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+import pandas as pd
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+import openpyxl as ox
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+from itertools import groupby
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+import os
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+import pymysql as ps
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+
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+
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+app = Flask(__name__)
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+
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+
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+class Mvp:
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+ """
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+ ce mvp 答题数据统计
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+ 城市特例 北京市,上海市, 重庆市,天津市
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+ """
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+
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+ age_dict = {
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+ '00-04年生': '00后',
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+ '05-09年生': '05后',
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+ '50-59年生': '50后',
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+ '60-69年生': '60后',
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+ '70-74年生': '70后',
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+ '75-79年生': '75后',
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+ '80-84年生': '80后',
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+ '85-89年生': '85后',
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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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+ crowd = ['A', 'B', 'C', 'D', 'E', 'F']
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+
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+ # 获取答题记录中城市列表
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+ sql_1 = 'select city from f_t_daren_score_2 group by city'
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+
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+ # 获取父选项和父题id
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+ sql_2 = 'select a.id, a.content, b.id, b.name from bq_option a left join bq_question b on a.question_id = b.id ' \
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+ 'where a.serial_number = %s and b.serial_number = %s and a.status = b.status = 1 '
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+ # 数据插入表mvp_question_classification
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+ sql_3 = 'insert into mvp_question_classification(question_serial_number, question_content, ' \
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+ 'option_serial_number, option_content, tag, corr) values(%s, %s, %s, %s, %s, %s) '
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+
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+ # 获取答题人的年龄段集合
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+ sql_4 = 'select nld from f_t_daren_score_2 group by nld'
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+
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+ # 根据城市,年龄段,人群分类统计答题记录数
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+ sql_5 = 'select group_type, COUNT(uuid) from f_t_daren_score_2 where (city = %s or province = %s) and nld ' \
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+ '= %s and uuid in %s group by group_type '
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+
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+ # 根据父选项获取子选项id列表
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+ sql_6 = 'SELECT c.id, c.sub_question_id, c.content FROM bq_sub_option c WHERE c.father_id in (SELECT a.id FROM ' \
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+ 'bq_option a ' \
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+ 'LEFT JOIN bq_question b ON a.question_id = b.id WHERE a.serial_number = %s AND b.serial_number = %s ' \
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+ 'and a.status = 1 and b.status = 1) and c.status = 1 '
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+
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+ # 根据子题id获取包含子题id的测试
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+ sql_7 = 'select group_type from bq_testcase where status = 1 and FIND_IN_SET(%s, question_ids)'
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+
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+ # 根据子选项id统计答题数
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+ sql_8 = 'SELECT count(uuid) FROM f_t_daren_score_2 a LEFT JOIN d_shangju_tiku_02 b ON a.sub_question_id = ' \
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+ 'b.sub_question_id AND a.score = b.score WHERE a.testcase_id = b.testcase_id and b.sub_option_id in %s' \
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+ 'and (a.city = %s or a.province = %s) and a.nld = %s and a.uuid in %s'
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+
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+ # 计算值写入表汇总
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+ sql_9 = 'insert into mvp_standard_score(city, age, tag, crowd_type, score) VALUES(%s, %s, %s, %s, %s)'
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+
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+ # 获取一个uuid下答题的子选项id列表
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+ sql_10 = 'select DISTINCT uuid, GROUP_CONCAT(DISTINCT b.sub_option_id) from f_t_daren_score_2 a left join ' \
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+ 'd_shangju_tiku_02 b on a.sub_question_id = b.sub_question_id and a.score = b.score where a.status = ' \
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+ 'b.status = 1 group by uuid '
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+
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+ def __init__(self, path=None):
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+ self.shangju_db = MysqlDB('shangju')
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+ self.marketing_db = MysqlDB('marketing_db')
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+ self.shangju_db.truncate('mvp_standard_score')
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+ self.tag_data = ExcelUtil(path=path).init_mvp_data()
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+ self.crowd_info = ExcelUtil(path=path, sheet_name='选项-人群分类对应表').init_crowd_info()
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+ self.citys = self.init_city()
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+ self.age = self.init_age()
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+ self.people_sub_option_ids = self.marketing_db.select(self.sql_10)
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+ self.crowd_contain_sub_option_ids = self.get_crowd_contain_sub_option_ids()
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+
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+ def init_city(self):
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+ """
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+ 获取答题数据中的城市。
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+ :return:
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+ """
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+ citys = ['北京市', '上海市', '重庆市', '天津市']
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+ citys_info = self.marketing_db.select(self.sql_1)
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+ citys.extend([x[0] for x in citys_info if x[0] is not None])
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+ return citys
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+
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+ def write_tag(self, city=None, age=None, crowd=None):
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+ """
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+ 将excel中的配置信息写入到数据库表中
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+ :return:
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+ """
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+ # datas = []
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+ # for key in self.tag_data.keys():
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+ # values = self.tag_data[key]
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+ # for value in values:
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+ # question = value[0].split('-')[0]
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+ # option = value[0].split('-')[1]
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+ # corr = value[1]
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+ # data = self.shangju_db.select(self.sql_2, [option, question])
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+ # if len(data) > 0:
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+ # print([question, option, data[0][3], data[0][1], key, corr])
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+ # datas.append([question, option, data[0][3], data[0][1], key, corr])
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+ # self.shangju_db.truncate('mvp_question_classification')
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+ # self.shangju_db.add_some(self.sql_3, datas)
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+ result = self.city_age_crowd(city, age, crowd)
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+ print('update finished!!!')
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+ return result
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+
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+ def init_age(self):
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+ """
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+ 获取答题数据中的年龄
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+ """
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+ age_info = self.marketing_db.select(self.sql_4)
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+ # print([x[0] for x in age_info])
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+ return [x[0] for x in age_info if x[0] is not None]
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+
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+ def city_age_crowd(self, city=None, age=None, crowd=None):
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+ result = []
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+ if city is not None and age is not None and crowd is not None:
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+ print('获取指定城市,年龄段,人群类型的数据...')
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+ people_uuids = self.get_people_uuid_by_type(crowd)
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+ if len(people_uuids) > 0:
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+ print('{}-{}-{}'.format(city, age, crowd))
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+ datas = self.behavior_tag_init(city, age, people_uuids)
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+ result.extend(self.calculation_standard_score(datas, city, age, crowd))
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+ pass
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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 age in self.age:
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+ if city != '上海市' and age != '85-89年生':
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+ for crowd_type in self.crowd:
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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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+ 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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+ result.extend(self.calculation_standard_score(datas, city, age, crowd_type))
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+ return result
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+
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+ def behavior_tag_init(self, city, age, people_uuids):
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+ result = {}
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+ self.group_type_count = self.marketing_db.select(self.sql_5, [city, city, age, people_uuids])
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+ for key in self.tag_data:
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+ values = self.tag_data[key]
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+ elements = []
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+ for value in values:
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+ question = value[0].split('-')[0]
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+ option = value[0].split('-')[1]
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+ corr = value[1]
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+ fz, fm = self.molecular_value(question, option, city, age, people_uuids)
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+ if fm == 0:
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+ c = 0
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+ else:
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+ c = fz / fm
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+ elements.append([question, option, corr, fz, fm, c])
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+ result[key] = elements
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+ return self.indicator_calculation_d_e(result)
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+
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+ def molecular_value(self, queston, option, city, age, people_uuids):
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+ # 获取当前父选项包含的子选项id和子题id列表
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+ result = self.shangju_db.select(self.sql_6, [option, queston])
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+ sub_option_ids = []
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+ group_types = []
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+ for rt in result:
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+ sub_option_id, sub_question_id, content = rt[0], rt[1], rt[2]
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+ grouptypes = self.shangju_db.select(self.sql_7, [sub_question_id])
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+ for g_t in grouptypes:
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+ if g_t[0] not in group_types:
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+ group_types.append(g_t[0])
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+ sub_option_ids.append(sub_option_id)
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+ # 计算子选项在答题记录中的点击数
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+
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+ sub_options_count = 0
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+ if len(sub_option_ids) > 0:
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+ result_1 = self.marketing_db.select(self.sql_8, [sub_option_ids, city, city, age, people_uuids])
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+ sub_options_count = result_1[0][0]
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+ # 计算父选项包含的子选项对应的子题所在的测试gt包含的点击数。
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+ denominator_value = 0
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+ for info in self.group_type_count:
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+ if info[0] in group_types:
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+ denominator_value += info[1]
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+ return sub_options_count, denominator_value
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+
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+ def indicator_calculation_d_e(self, data):
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+ result = {}
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+ for key in data.keys():
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+ values = data[key]
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+ c_list = [x[5] for x in values]
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+ fm_list = [x[4] for x in values]
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+ sum_c = sum(fm_list)
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+ min_c = min(c_list)
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+ elements = []
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+ for value in values:
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+ _value = []
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+ c = value[5]
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+ if sum_c == 0:
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+ d = 0
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+ else:
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+ d = c / sum_c
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+ e = c - min_c
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+ _value.extend(value)
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+ _value.append(d)
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+ _value.append(e)
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+ elements.append(_value)
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+ result[key] = elements
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+ return result
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+
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+ def calculation_standard_score(self, datas, city, age, crowd_type):
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+ scores = []
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+ for key in datas.keys():
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+ print(key)
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+ print(' 父题序号 父选项序号 相关系系数 分子值 分母值 百分比 人数权重 偏离值')
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+ values = [x[5] for x in datas[key]]
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+ min_c = min(values)
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+ f = min_c
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+ for value in datas[key]:
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+ print(' {}'.format(value))
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+ if value[2] is not None and value[7] is not None:
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+ f += float(value[2] * value[7])
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+ print(' 标准分:{}'.format(f))
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+ scores.append([city, age, key, crowd_type, f])
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+ # self.shangju_db.add_some(self.sql_9, scores)
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+ return scores
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+
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+ def get_crowd_people(self):
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+ result = {}
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+ for type in self.crowd:
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+ uuids = self.get_people_uuid_by_type(type)
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+ result[type] = len(uuids)
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+ return result
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+
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+ def get_people_uuid_by_type(self, type):
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+ uuids = []
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+ type_sub_option_ids = self.crowd_contain_sub_option_ids[type]
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+ for people in self.people_sub_option_ids:
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+ uuid = people[0]
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+ sub_option_ids = str(people[1]).split(',')
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+ # list(set(a).intersection(set(b)))
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+ if len(list(set(sub_option_ids).intersection(set(type_sub_option_ids)))) > 0:
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+ uuids.append(uuid)
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+ return uuids
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+
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+ def get_crowd_contain_sub_option_ids(self):
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+ """
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+ 获取ABCDEF人群包含的子选项id
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+ :return:
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+ """
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+ infos = {}
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+ for key in self.crowd_info.keys():
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+ values = self.crowd_info[key]
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+ sub_option_ids = []
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+ for value in values:
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+ if value is not None:
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+ vals = str(value).split('-')
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+ option, question = vals[1], vals[0]
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+ query_result = self.shangju_db.select(self.sql_6, [option, question])
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+ for qr in query_result:
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+ sub_option_id, sub_question_id, content = qr[0], qr[1], qr[2]
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+ sub_option_ids.append(sub_option_id)
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+ infos[key] = sub_option_ids
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+ return infos
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+
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+
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+class ExcelUtil:
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+ # 当前项目路径
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+ dir_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + r'/elab_mvp/resources'
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+ """
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+ 解析excel文件
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+ """
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+ def __init__(self, sheet_name=None, path=None):
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+ if path:
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+ self.path = path
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+ else:
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+ self.path = os.path.join(self.dir_path, 'mvp.xlsx')
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+ if sheet_name:
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+ self.sheet_name = sheet_name
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+ else:
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+ self.sheet_name = '硬标签+行为'
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+
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+ def read_excel_by_pd(self):
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+ df = pd.read_excel(self.path)
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+ data = df.head()
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+ print('获取到的数据{}'.format(data))
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+
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+ def read_excel_by_ox(self):
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+ work_book = ox.load_workbook(self.path, data_only=True)
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+ work_sheet = work_book.get_sheet_by_name(self.sheet_name)
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+ # print('max_row:{}, max_col:{}'.format(work_sheet.max_row, work_sheet.max_column))
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+ return work_sheet
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+
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|
|
+ def init_crowd_info(self):
|
|
|
|
+ """
|
|
|
|
+ 整理不同人群包含的父选序号
|
|
|
|
+ :return:
|
|
|
|
+ """
|
|
|
|
+ rows = [row for row in self.read_excel_by_ox().rows]
|
|
|
|
+ crowd_a = []
|
|
|
|
+ crowd_b = []
|
|
|
|
+ crowd_c = []
|
|
|
|
+ crowd_d = []
|
|
|
|
+ crowd_e = []
|
|
|
|
+ crowd_f = []
|
|
|
|
+
|
|
|
|
+ for row in rows[2:]:
|
|
|
|
+ option = row[4].value
|
|
|
|
+ a = row[6].value
|
|
|
|
+ if a is not None and a == 1 and option not in crowd_a:
|
|
|
|
+ crowd_a.append(option)
|
|
|
|
+ b = row[7].value
|
|
|
|
+ if b is not None and b == 1 and option not in crowd_b:
|
|
|
|
+ crowd_b.append(option)
|
|
|
|
+ c = row[8].value
|
|
|
|
+ if c is not None and c == 1 and option not in crowd_d:
|
|
|
|
+ crowd_c.append(option)
|
|
|
|
+ d = row[9].value
|
|
|
|
+ if d is not None and d == 1 and option not in crowd_d:
|
|
|
|
+ crowd_d.append(option)
|
|
|
|
+ e = row[10].value
|
|
|
|
+ if e is not None and e == 1 and option not in crowd_e:
|
|
|
|
+ crowd_e.append(option)
|
|
|
|
+ f = row[11].value
|
|
|
|
+ if f is not None and f == 1 and option not in crowd_f:
|
|
|
|
+ crowd_f.append(option)
|
|
|
|
+ return {'A': crowd_a, 'B': crowd_b, 'C': crowd_c, 'D': crowd_d, 'E': crowd_e, 'F': crowd_f}
|
|
|
|
+
|
|
|
|
+ def init_mvp_data(self):
|
|
|
|
+ """
|
|
|
|
+ 获取每个标签包括的父题父选项编号
|
|
|
|
+ :return:
|
|
|
|
+ """
|
|
|
|
+ rows = [row for row in self.read_excel_by_ox().rows][24:]
|
|
|
|
+ tag_name = None
|
|
|
|
+ datas = []
|
|
|
|
+ for row in rows:
|
|
|
|
+ tag = row[1].value
|
|
|
|
+ values = row[3].value
|
|
|
|
+ corr = row[4].value
|
|
|
|
+ if tag:
|
|
|
|
+ tag_name = tag
|
|
|
|
+ if values is not None:
|
|
|
|
+ datas.append([tag_name, values, corr])
|
|
|
|
+ result = {}
|
|
|
|
+ for name, items in groupby(datas, key=lambda obj: obj[0]):
|
|
|
|
+ orders = []
|
|
|
|
+ for n in items:
|
|
|
|
+ orders.append([n[1], n[2]])
|
|
|
|
+ result[name] = orders
|
|
|
|
+ return result
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+class MysqlDB:
|
|
|
|
+ """
|
|
|
|
+ mysql操作
|
|
|
|
+ """
|
|
|
|
+ con = None
|
|
|
|
+ cursor = None
|
|
|
|
+
|
|
|
|
+ def __init__(self, db_name):
|
|
|
|
+ self.db_name = db_name
|
|
|
|
+ self.con = ps.connect(host='192.168.0.13', port=3306, user='root', password='elab@123',
|
|
|
|
+ db=self.db_name, charset='utf8')
|
|
|
|
+ self.cursor = self.con.cursor()
|
|
|
|
+
|
|
|
|
+ def show_tables(self):
|
|
|
|
+ self.cursor.execute('show tables')
|
|
|
|
+ for talbe in self.cursor.fetchall():
|
|
|
|
+ print(talbe)
|
|
|
|
+
|
|
|
|
+ def select(self, sql, params=None):
|
|
|
|
+ if params:
|
|
|
|
+ self.cursor.execute(sql, params)
|
|
|
|
+ else:
|
|
|
|
+ self.cursor.execute(sql)
|
|
|
|
+ return self.cursor.fetchall()
|
|
|
|
+
|
|
|
|
+ def add_some(self, sql, data):
|
|
|
|
+ try:
|
|
|
|
+ self.cursor.executemany(sql, data)
|
|
|
|
+ self.con.commit()
|
|
|
|
+ except:
|
|
|
|
+ print('数据插入异常...')
|
|
|
|
+ self.con.rollback()
|
|
|
|
+
|
|
|
|
+ def add_one(self, sql, data):
|
|
|
|
+ try:
|
|
|
|
+ self.cursor.execute(sql, data)
|
|
|
|
+ self.con.commit()
|
|
|
|
+ except:
|
|
|
|
+ self.con.rollback()
|
|
|
|
+
|
|
|
|
+ def truncate(self, table_name):
|
|
|
|
+ sql = 'truncate table {}'.format(table_name)
|
|
|
|
+ self.cursor.execute(sql)
|
|
|
|
+ self.con.commit()
|
|
|
|
+
|
|
|
|
+ def close(self):
|
|
|
|
+ self.cursor.close()
|
|
|
|
+ self.con.close()
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+#
|
|
|
|
+# @app.route('/', methods=['GET', 'POST'])
|
|
|
|
+# def home():
|
|
|
|
+# return render_template('form.html')
|
|
|
|
+#
|
|
|
|
+#
|
|
|
|
+# @app.route('/excel_upload', methods=["GET", 'POST'])
|
|
|
|
+# def excel_upload():
|
|
|
|
+# dir_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + r'\elab_mvp\resources\upload_files'
|
|
|
|
+# print(dir_path)
|
|
|
|
+# email = request.form['email']
|
|
|
|
+# excel = request.files['mvp_excel']
|
|
|
|
+# file_name = str(time.time()) + secure_filename(excel.filename)
|
|
|
|
+# save_path = os.path.join(dir_path, file_name)
|
|
|
|
+# excel.save(save_path)
|
|
|
|
+# mvp = Mvp(save_path)
|
|
|
|
+# mvp.write_tag()
|
|
|
|
+# return '成功'
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+@app.route('/behavioral_statistics', methods=['GET', 'POST'])
|
|
|
|
+def behavioral_statistics():
|
|
|
|
+ city = request.args.get('city', default=None, type=str)
|
|
|
|
+ age = request.args.get('age', default=None, type=str)
|
|
|
|
+ crowd = request.args.get('crowd', default=None, type=str)
|
|
|
|
+ print(city, age, crowd)
|
|
|
|
+ mvp = Mvp()
|
|
|
|
+ scores = mvp.write_tag(city, age, crowd)
|
|
|
|
+ return json.dumps(scores, ensure_ascii=False)
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+@app.route('/infos', methods=["GET", 'POST'])
|
|
|
|
+def get_city_age_crowd():
|
|
|
|
+ mvp = Mvp()
|
|
|
|
+ infos = {'城市': mvp.citys, '年龄段': mvp.age}
|
|
|
|
+ return json.dumps(infos, ensure_ascii=False)
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+@app.route('/crowd_people', methods=['GET', 'POST'])
|
|
|
|
+def crowd_people():
|
|
|
|
+ mvp = Mvp()
|
|
|
|
+ people_count = mvp.get_crowd_people()
|
|
|
|
+ return json.dumps(people_count, ensure_ascii=False)
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+if __name__ == '__main__':
|
|
|
|
+ app.run(
|
|
|
|
+ host='0.0.0.0',
|
|
|
|
+ port=5001
|
|
|
|
+ )
|