PythonFaker随机生成测试数据（干货）

from faker import Faker
fake = Faker('zh_CN')   //设置语种
fake.name()

"""
 * Create by dell on 2020/6/11
 * Author ：wencheng
 * 微信公众 ：自动化测试 To share

"""

from faker import Faker
import pandas as pd
from urllib import parse
from pymongo import MongoClient
import pymysql


class Create_Data(object):
    def __init__(self):
        # 选择中文
        fake = Faker('zh_CN')
        # 生成数据改变循环体来控制数据量rang(?)
        self.data_total = [
            [fake.name(), fake.job(), fake.company(), fake.phone_number(), fake.company_email(), fake.address(),
             fake.date_time(tzinfo=None)] for x in range(100)] 
        print(self.data_total)

    # 写入excel
    def deal_excel(self):
        df = pd.DataFrame(self.data_total,
                          columns=['name', 'job', 'company', 'phone_number', 'company_email', 'address', 'date_time'])
        # 保存到本地excel
        df.to_excel("data_total.xlsx", index=False)
        print("Processing completed to excel")

    # 写入txt
    def deal_txt(self):
        with open('data_total.txt', 'w', errors='ignore', encoding='utf-8') as output:
            output.write('name,job,company,phone_number.company_email.address.date_time\n')
            for row in self.data_total:
                rowtxt = '{},{},{},{}'.format(row[0], row[1], row[2], row[3])
                output.write(rowtxt)
                output.write('\n')
            output.close()
        print("Processing completed to txt")

    # 写入mongodb
    def deal_mongodb(self):
        port = 27017
        host = 'localhost'
        user_name = 'root'
        db_name = 'data'
        passwd = 'root'
        passwd = parse.quote(passwd)
        mango_uri = 'mongodb://%s:%s@%s:%s/%s' % (user_name, passwd, host, port, db_name)  # 链接时需要指定数据库
        cOnn= MongoClient(mango_uri)  # 创建链接
        db = conn[db_name]  # 连接coder数据库
        mOngodata= db['data_total']
        for val in self.data_total:
            mongodata.insert(
                {"name": val[0], 'job': val[1], 'company': val[2], 'phone_number': val[3], "company_email": val[4],
                 'address': val[5], 'date_time': val[6]})
        print("Processing completed to mongodb")

    # 写入mysql
    def deal_mysql(self):
        # 打开数据库连接
        db = pymysql.connect("localhost", "root", "root", "test2")
        # 使用cursor()方法获取操作游标
        cursor = db.cursor()
        # SQL 插入语句
        for val in self.data_total:
            sql = "insert into data_total(name,job,company,phone_number,company_email,address,date_time)value ('%s','%s','%s','%s','%s','%s','%s')" % (
                val[0], val[1], val[2], val[3], val[4], val[5], val[6])
            try:
                # 执行sql语句
                cursor.execute(sql)
                # 执行sql语句
                db.commit()
                print("insert ok")
            except:
                # 发生错误时回滚
                db.rollback()
            # 关闭数据库连接


if __name__ == '__main__':
    data = Create_Data()
    data.deal_excel()
    data.deal_txt()
    data.deal_mongodb()
    data.deal_mysql()