Jenkins生成的allure报告
allure报告2
Jenkins配置
- 路径:Jenkins主页 --->Manage Jenkins--->Manage Plugins--->选中可选插件,右上角过滤一下,安装两个插件。【Allure Jenkins Plugin、HTML Publisher plugin】
安装完成之后,重启Jenkins。[http://localhost:8080/restart](http://localhost:8080/restart)
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路径:Jenkins主页--->构建执行状态--->设置
设置节点1 -
配置环境变量:节点属性--->Environment variables,分别填写Allure、JDK、Python目录下Scripts文件夹的键值
设置节点2
-
-
新建项目:Jenkins主页--->新建Item,选择自由风格。
项目配置1
配置:
命令:
C:
cd \Users\ziyun\PycharmProjects\api_demo\Test_ziyun
del/f/s/q C:\Users\ziyun\PycharmProjects\api_demo\Test_ziyun\target\allure-results
del/f/s/q C:\Users\ziyun\PycharmProjects\api_demo\Test_ziyun\target\allure-reports
call pytest -s -q --alluredir=target/allure-results
exit 0
项目配置2
指定报告存放位置。
要注意文件生成的目录要保持一致,否则Allure自动生成报告时会报错。
项目配置3
项目配置4
Python框架部分
-
使用Pytest命名规则,总共分为接口回归用例和测试用例两部分。
代码构成 - 回归用例部分:
- pytest.mark.parametrize参数化+allure标记,实现方法的封装
import allure
import pytest
import json
import requests
from Common import DataBase
from Common import Request, Assert, read_excel
request = Request.Request()
assertions = Assert.Assertions()
head = {}
url = 'https://.com'
excel_list = read_excel.read_excel_sheet('./document/回归用例.xls', 'DNC系统')
ids_list = []
for i in range(len(excel_list)):
# 删除excel_list中每个小list的最后一个元素,并赋值给ids_pop
ids_pop = excel_list[i].pop()
# 将ids_pop添加到 ids_list 里面
ids_list.append(ids_pop)
@pytest.mark.ddd
@allure.feature("回归测试")
@allure.severity("blocker")
@allure.issue("https://.com")
class Test_info:
@allure.story("用户登录")
@allure.testcase("https://.com",name="正常登录")
def test_login(self):
login_resp = request.post_request(url='https://.com' + '/factoryPortal/login',
json={"ssoId": "柒柒", "password": "123456", "userType": ""})
assertions.assert_code(login_resp.status_code, 200)
login_resp_json = login_resp.json()
assertions.assert_in_text(login_resp_json['message'], '成功')
# 提取token
data_token = login_resp_json['data']['token']
# 重新赋值全局变量 head\token_data
global head
global token_data
token_data = data_token
head = {'token': token_data}
print(token_data)
@pytest.mark.parametrize('ff,address,data,key,msg,sql_data', excel_list, ids=ids_list)
def test_personnel(self, ff, address, data, key, msg, sql_data):
if sql_data is None or sql_data == '':
if ff == 'get':
rp_resp = request.get_request(url=url + address,
params=data, headers=head)
assertions.assert_code(rp_resp.status_code, 200)
rp_resp_json = rp_resp.json()
assertions.assert_in_text(rp_resp_json['message'], msg)
elif ff == 'post':
rp_resp = request.post_request(url=url + address,
json=json.loads(data), headers=head)
assertions.assert_code(rp_resp.status_code, 200)
rp_resp_json = rp_resp.json()
assertions.assert_in_text(rp_resp_json['message'], msg)
elif ff == 'put':
rp_resp = requests.put(url + address,
json=json.loads(data), headers=head)
assertions.assert_code(rp_resp.status_code, 200)
rp_resp_json = rp_resp.json()
assertions.assert_in_text(rp_resp_json['message'], msg)
elif sql_data is not None or sql_data != '':
split = sql_data.split(",", 1)
db_ = str(split[0])
sql_ = str(split[1])
if ff == 'get':
select_data = DataBase.mysql_select_hg(db=db_, sql=sql_)
for j in select_data:
w = select_data[j]
all_data = "{}={}".format(key, w)
rp_resp = request.get_request(url=url + address,
params=data + all_data, headers=head)
assertions.assert_code(rp_resp.status_code, 200)
rp_resp_json = rp_resp.json()
assertions.assert_in_text(rp_resp_json['message'], msg)
if ff == 'post':
select_data = DataBase.mysql_select_hg(db=db_, sql=sql_)
v = 0
for i in select_data:
v1 = select_data[i]
v = v1
v_data = {key: v}
rp_resp = request.post_request(url=url + address,
json={**json.loads(data), **v_data}, headers=head)
assertions.assert_code(rp_resp.status_code, 200)
rp_resp_json = rp_resp.json()
assertions.assert_in_text(rp_resp_json['message'], msg)
if ff == 'put':
select_data = DataBase.mysql_select_hg(db=db_, sql=sql_)
v = 0
for i in select_data:
v1 = select_data[i]
v = v1
v_data = {key: v}
rp_resp = requests.put(url + address,
json={**json.loads(data), **v_data}, headers=head)
assertions.assert_code(rp_resp.status_code, 200)
rp_resp_json = rp_resp.json()
assertions.assert_in_text(rp_resp_json['message'], msg)
- run模块
import pytest
import os
if __name__ == '__main__':
pytest.main(["-sq",
"--alluredir", "./allure-results"])
os.system(r"allure generate --clean allure-results -o allure-report")
- pytest 命名规则。
- 新建python类型文件夹,文件夹命名test_开头
- 文件夹内新建.py文件,命名test_开头
- 新建class类,命名Test_开头
- 类下新建方法,命名test_开头
- 封装连接数据库方法
import pymysql.cursors
import sys
def mysql_select(db, sql, attribute):
try:
# 连接mysql数据库
connection = pymysql.connect(host='MYSQL', port=3306, user='', password='', db=db, # 'ziyun-dnc',
cursorclass=pymysql.cursors.DictCursor)
# 通过cursor创建游标,进行每一步操作
cursor = connection.cursor()
# 发起请求
# sql = 'SELECT * FROM `app_package` where app_pk_name = "ws测试产品";'
cursor.execute(sql)
# 获取数据
res = cursor.fetchone()
# print(res)
# 赋值变量 parm
parm = str(res[attribute])
# 关闭光标对象
cursor.close()
# 关闭数据库连接
connection.close()
# 返回参数
return parm
except Exception as e:
print("ERROR!!!\n执行sql失败,将自动关闭数据库连接。\t错误信息为:{}".format(e))
sys.exit()
def mysql_select_hg(db, sql):
try:
# 连接mysql数据库
connection = pymysql.connect(host='MYSQL', port=3306, user='', password='', db=db, # 'ziyun-dnc',
cursorclass=pymysql.cursors.DictCursor)
# 通过cursor创建游标,进行每一步操作
cursor = connection.cursor()
# 发起请求
# sql = 'SELECT * FROM `app_package` where app_pk_name = "ws测试产品";'
cursor.execute(sql)
# 获取数据
res = cursor.fetchone()
# print(res)
# 赋值变量 parm
# parm = str(res[attribute])
# 关闭光标对象
cursor.close()
# 关闭数据库连接
connection.close()
# 返回参数
return res
except Exception as e:
print("ERROR!!!\n执行sql失败,将自动关闭数据库连接。\t错误信息为:{}".format(e))
sys.exit()
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回归用例excel模板
用例模板
配置完成后,Jenkins界面点击构建
开始构建测试报告详情
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