pytest参数化数据驱动(数据库/execl/yaml)-编程知识

pytest参数化数据驱动(数据库/execl/yaml)

常见的数据驱动

数据结构：
列表、字典、json串
文件：
txt、csv、excel
数据库：
数据库链接
数据库提取
参数化：
@pytest.mark.parametrize()
@pytest.fixture()

参数化

数据驱动和@pytest.mark.parametrize参数化结合

1.数据库驱动(已安装MySQL)

安装mysqlclient模块

brew install mysql pkg-config //windows不用该步骤
pip3 install mysqlclient

import MySQLdb  # 必须要安装mysqlclient模块
import pytest# 数据库链接
conn = MySQLdb.connect(user='root',passwd='m****',host='localhost',port=3306,db='basejnu'  # 数据库database
)def get_data():query_sql = "select customer_id,account_num,customer_region_id from customer LIMIT 20"  # 获取数据lst = []cursor = conn.cursor()  # 创建游标try:cursor.execute(query_sql)r = cursor.fetchall()  # 获取customer_id,account_num数据print(r)for x in r:u = (x[0], x[1])  # 第一列和第二列lst.append(u)return lstfinally:cursor.close()conn.close()@pytest.mark.parametrize('customer_id,account_num', get_data())
def test01(customer_id, account_num):print(customer_id, account_num)if __name__ == '__main__':pytest.main(["-sv", "get_mysql.py"])

运行效果：

2. execl/csv数据驱动

安装pandas模块

pip3 install pandas

import pandas as pd
import pytestdef get_data():
# execl文件将 read_csv改为 read_execl即可df = pd.read_csv('/Users/mac/Documents/study23/data_study/data/customer1997.csv', index_col=None)data = pd.DataFrame(df)  # 转化为列表data00 = data[['customer_id', 'Frequency']]  # 获取所需部分# data01 = data00.head()  # 获取全部数据data01 = data00.head(5)  #获取前5行数据print(data01)data02 = data01.valuesprint(data02)return data02class Test_csv():@pytest.mark.parametrize('id,fre', get_data())def test_002(self, id, fre):print(id)print(fre)print("*"*10)if __name__ == '__main__':pytest.main(["-sv", "get_execl.py"])

运行效果：

3. yaml数据驱动

data_y.yaml

yaml_util.py

import yamlclass YamlUtil:def __init__(self, yaml_file):"""通过init方法把Yaml文件传入到这个类:param yaml_file:"""self.yaml_file = yaml_file# 读取Yaml文件def read_yaml(self):"""读取Yaml，对yaml反序列化，就是把我们的yaml格式转换成dict格式:return:"""with open(self.yaml_file, encoding='utf-8')as f:value = yaml.load(f, Loader=yaml.FullLoader)return value

测试用例get_yaml.py

import pytest
import os
from common.yaml_util import YamlUtil# 文件地址
realpath = os.path.abspath(os.path.join(os.path.dirname(os.path.split(os.path.realpath(__file__))[0]), '.'))
# 项目地址
project_dir = os.path.dirname(realpath)@pytest.mark.parametrize('args', YamlUtil(project_dir + '/data_study/data/data_y.yaml').read_yaml())
def test_01_huahua(args):name = args['name']password = args['password']print(name)print(password)if __name__ == '__main__':pytest.main(['-vs', "get_yaml.py"])

运行结果：