pytest 入门（调用若依接口 yaml进行缓存）

pytest的好处：

具有丰富的插件结构

易用性

通过pytest.mark.parametruze进行参数化测试

内置fixture机制

通过login.yaml获取若依的token

url: http://62.234.166.117/prod-api/login
data:
  username: admin
  password: admin123
header:
  Content-Type: application/json

conftest.py 进行fixture调用，保存token

import pytest
import yaml
import yaml_package
import requests


@pytest.fixture (scope="function",autouse= "True")
def pro_post_output():
    print("测试用例执行")
    yield
    print("end of the test process")

@pytest.fixture(scope="session",autouse= "True")
def get_token():
    print("获取token")
    yaml_data = yaml_package.load_yaml("login.yaml")
    url = yaml_data["url"]
    json_data = yaml_data["data"]
    headers = yaml_data["header"]

    result = requests.post(url, json=json_data, headers=headers)
    response = result.json()
    print(response)
    token = response["token"]  # 提取 token
    print("token:", token)
    Authorization = f"Authorization: Bearer {token}"
    yaml_package.append_yaml("add.yaml",Authorization,"header")
    yield token
    print("end of token")

add.yaml进行相应的增加接口调用，这里以用户增加为例，自输入相应的url和请求参数，请求头除了content-type外就是以上的token追加 是Bear {token}形式

测试函数

import pytest
import yaml_package
import requests
#静言可以不用self
class TestAPI:
    def test_token(self):
        x = 200
        assert x == 200
    def test_add(self):
        yaml_data=yaml_package.load_yaml("add.yaml")
        url = yaml_data["url"]
        data = yaml_data["data"]
        head = yaml_data["header"]
        print(head)
        result =requests.post(url,json=data,headers=head )
        resp=result.json()
        print(resp)

        assert  resp["code"] == 200