Interface test API case, data and interface separation

Purpose ： Complete interface automation test , The most important one is use cases 、 data 、 Separation of interfaces

Now simulate the test of a login interface ,

Original request ：

import pytest,json,requests
def test_login():
    url = "https://blog.csdn.net/"
    payload = json.dumps({
        "tel": "123456",
        "password": "123456"
    })
    headers = {
        'Content-Type': 'application/json'
    }
    response = requests.request(method="POST", url=url,headers=headers ,data=payload)

    print(response.json)

problem ：

Multiple use cases for this interface , You have to write many times , The code repetition rate is too high

Method ：

Use cases and interfaces 、 Data separation

Interface file ：get_token.py

import json,requests

# api Each method in represents the request method of an interface 

class GET_Token():
    def get_login(self):
        url = "https://blog.csdn.net/"
        payload = json.dumps({
            "tel": "123456",
            "password": "123456"
        })
        headers = {
            'Content-Type': 'application/json'
        }
        response = requests.request("POST", url, headers=headers, data=payload)

        return response.json()

if __name__ == '__main__':
    t = GET_Token()
    t.get_login()

Use case files ：test_demo.py

# testcase  It's a test case , One method Corresponding to one case, Use cases are separated from interfaces 
import pytest
from get_token import GET_Token

class Test_token():
    def setup(self):
        self.gettoken = GET_Token()

    #  Determine whether the login is successful , Compare the response value returned by the interface 
    def test_token(self):
        print(self.gettoken.get_login())
        assert  self.gettoken.get_login()['code'] == 0

Now the interface file is still confused , You can sort out the data format , Adopt unified format , such as JSON

After finishing get_token.py

import json,requests

# api Each method in represents the request method of an interface 

class GET_Token():

    def get_login(self):
        #  Transform the request information into a standard dictionary structure 
        req = {
            "method": "POST",
            "url": "https://blog.csdn.net/",
            "headers": {
                'Content-Type': 'application/json'
            },
            "data": json.dumps({
                "tel": "1234456",
                "password": "1234456"
            })
        }
        #  unpacking 
        rs = requests.request(**req)
        print(rs.text)
        return rs

if __name__ == '__main__':
    t = GET_Token()
    t.get_login()

Now use cases and interfaces 、 The data was successfully separated , If the use case or interface changes, you can directly modify the corresponding file , One use case is for multiple pieces of data , Directly prepare multiple data replacements req that will do （ Put it in the data file to read , Traverse ）