# -*- coding: utf-8 -*-

import redis
import re
import json
import pymysql
import pandas as pd

# 抽取医院名字简称


def get_city_names():
    db = pymysql.connect(host='172.16.30.143', port=3306, user='work', passwd='BJQaT9VzDcuPBqkd', db='zhengxing')
    cursor = db.cursor()
    sql_active = "select name from api_city;"
    cursor.execute(sql_active)
    result = cursor.fetchall()
    name_list = pd.DataFrame(list(result))[0].values.tolist()
    print(name_list[:10])
    db.close()
    return name_list


def name_short():
    db = pymysql.connect(host='172.16.30.143', port=3306, user='work', passwd='BJQaT9VzDcuPBqkd', db='zhengxing')
    cursor = db.cursor()
    sql_active = "select name from api_hospital where is_online = 1;"
    cursor.execute(sql_active)
    result = cursor.fetchall()
    name_list = pd.DataFrame(list(result))[0].values.tolist()
    db.close()
    print(name_list[:10])
    names = ["门诊部","医疗", "门诊", "研究所", "有限", "公司", "医学", "诊所", "中心","美容","医院","整形","外科",
             "医美", "集团", "卫生", "机构", "专业","皮肤","管理",
             "光学", "国际", "连锁", "综合", "专科",]
    location = ["街道", "社区",]
    city_list = get_city_names()
    stop_words = names + location + city_list
    new_names = []
    for name in name_list:
        for word in stop_words:
            name = re.sub(word, '', name)
        # 去除\t
        name = re.sub(r'\t', "", name)
        new_names.append(name)
    df = pd.DataFrame()
    df['old_name'] = name_list
    df['new_name'] = new_names
    print(df.head(6))
    df.to_csv("/home/gmuser/"+"12.csv",index=None)



    # number = list()
    # for i in cover:
    #     sql = "select count(cid) from data_feed_exposure " \
    #           "where cid_type = 'diary'" \
    #           "and stat_date = '{}' and device_id = '{}';".format(date,i)
    #     cursor.execute(sql)
    #     result = cursor.fetchone()[0]
    #     cid.append(i)
    #     number.append(result)
    # df = pd.DataFrame()
    # df['id'] = cid
    # df['number'] = number
    # df = df.sort_values(by = "number",ascending=False)
    # df.to_csv(DIRECTORY_PATH+"exp.csv",index=None)


def name_process(name):
    project_tags = ["口腔","植发","牙","皮肤","眼","外科","美容","整形","烧伤","胸","丰胸","美胸","祛痘","祛斑","脱毛",
                    "创伤","除疤","半永久","纹绣","纹眉"]
    names = ["医疗","门诊","研究所","有限","公司","医学","诊所","中心","医美","集团","卫生","机构","专业",
             "光学","国际","连锁","综合","专科",""]
    location = ["街道","社区",]
    stop_words = project_tags + names + location
    for word in stop_words:
        name = re.sub(word, '', name)
    # 去除 中文括号( )
    name = re.sub(r'\（.*?\）', '', name)
    # 去除 英文括号( )
    name = re.sub(r'\(.*?\)', '', name)
    # 去除 左英文括号，右中文括号
    name = re.sub(r'\(.*?\）', '', name)
    # 去除数字
    name = re.sub(r'\d', '', name)
    # 去除\t
    name = re.sub(r'\t', "", name)
    return name


if __name__ == '__main__':
    name_short()



