python自动化测试脚本 批量执行测试用例、数据驱动测试、接口监控、接口性能测试、数据库测试、页面截图、邮件发送报告、数据生成器、日志记录和接口数据验证

python自动化测试脚本 

Python是一门功能强大的编程语言，不仅可以用于开发应用程序，还可以用于自动化测试。对于测试人员来说，掌握一些简单但实用的Python自动化测试脚本，可以提高工作效率并减少重复劳动。本文将介绍10个常用的Python自动化测试脚本，并提供实际接口自动化工作中的示例代码。

批量执行接口测试用例

import unittest
class MyTestCase(unittest.TestCase):
    def test_case1(self):
        # 执行接口测试用例1
        pass
    def test_case2(self):
        # 执行接口测试用例2
        pass
if __name__ == '__main__':
    unittest.main()

数据驱动测试

import csv
def read_test_data(file_path):
    test_data = []
    with open(file_path, 'r') as file:
        reader = csv.DictReader(file)
        for row in reader:
            test_data.append(row)
    return test_data
def test_with_data(test_data):
    for data in test_data:
        # 使用测试数据执行接口测试
        pass
if __name__ == '__main__':
    test_data = read_test_data('test_data.csv')
    test_with_data(test_data)

接口监控

import requests
def check_api_status(api_url):
    response = requests.get(api_url)
    if response.status_code == 200:
        print(f"接口{api_url}正常")
    else:
        print(f"接口{api_url}异常")
if __name__ == '__main__':
    api_urls = ['https://api.example.com/user', 'https://api.example.com/product']
    for url in api_urls:
        check_api_status(url)

接口性能测试

import time
import requests
def measure_response_time(api_url):
    start_time = time.time()
    response = requests.get(api_url)
    end_time = time.time()
    response_time = end_time - start_time
    print(f"接口{api_url}的响应时间为：{response_time}秒")
if __name__ == '__main__':
    api_urls = ['https://api.example.com/user', 'https://api.example.com/product']
    for url in api_urls:
        measure_response_time(url)

数据库测试

import pymysql
def connect_to_database(host, user, password, database):
    conn = pymysql.connect(host=host, user=user, password=password, database=database)
    return conn
def execute_sql_query(conn, sql_query):
    cursor = conn.cursor()
    cursor.execute(sql_query)
    result = cursor.fetchall()
    cursor.close()
    return result
if __name__ == '__main__':
    db_conn = connect_to_database('localhost', 'root', 'password', 'mydatabase')
    result = execute_sql_query(db_conn, 'SELECT * FROM users')
    print(result)
    db_conn.close()

页面截图

from selenium import webdriver
def take_screenshot(url, file_path):
    driver = webdriver.Chrome()
    driver.get(url)
    driver.save_screenshot(file_path)
    driver.quit()
if __name__ == '__main__':
    take_screenshot('https://www.example.com', 'screenshot.png')

邮件发送报告

import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
def send_email(sender, password, receiver, subject, message):
    smtp_server = 'smtp.example.com'
    smtp_port = 587
    msg = MIMEMultipart()
    msg['From'] = sender
    msg['To'] = receiver
    msg['Subject'] = subject
    msg.attach(MIMEText(message, 'plain'))
    with smtplib.SMTP(smtp_server, smtp_port) as server:
        server.starttls()
        server.login(sender, password)
        server.send_message(msg)
if __name__ == '__main__':
    sender = 'sender@example.com'
    password = 'password'
    receiver = 'receiver@example.com'
    subject = '自动化测试报告'
    message = '这是自动化测试的报告，请查收。'
    send_email(sender, password, receiver, subject, message)

数据生成器

import random
def generate_random_number(min_value, max_value):
    return random.randint(min_value, max_value)
def generate_test_data(num_samples):
    test_data = []
    for _ in range(num_samples):
        test_data.append(generate_random_number(1, 100))
    return test_data
if __name__ == '__main__':
    data = generate_test_data(10)
    print(data)

日志记录

import logging
def configure_logging(log_file):
    logging.basicConfig(filename=log_file, level=logging.DEBUG)
def log_info(message):
    logging.info(message)
if __name__ == '__main__':
    log_file = 'test.log'
    configure_logging(log_file)
    log_info('这是一条日志记录')

接口数据验证

import json
def validate_response_data(response_data):
    try:
        data = json.loads(response_data)
        if 'name' in data and 'email' in data:
            print("接口返回数据验证通过")
        else:
            print("接口返回数据验证不通过")
    except ValueError:
        print("接口返回数据无效")
if __name__ == '__main__':
    response_data = '{"name": "John", "email": "john@example.com"}'
    validate_response_data(response_data)

以上是常用的10个Python自动化测试脚本，涵盖了批量执行测试用例、数据驱动测试、接口监控、接口性能测试、数据库测试、页面截图、邮件发送报告、数据生成器、日志记录和接口数据验证等方面。