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这篇文章主要为大家展示了“python中unittest如何实现api自动化测试”，内容简而易懂，条理清晰，希望能够帮助大家解决疑惑，下面让小编带领大家一起研究并学习一下“python中unittest如何实现api自动化测试”这篇文章吧。
首先，编写restful api接口文件 testpost.py，包含了get，post，put方法
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import request
from flask_restful import Resource
from flask_restful import reqparse
test_praser = reqparse.RequestParser()
test_praser.add_argument('ddos')
class TestPost(Resource):
def post(self, PostData):
data = request.get_json()
user = User('wangjing')
if data['ddos']:
return {'hello': 'uese', "PostData": PostData, 'ddos': 'data[\'ddos\']'}
return {'hello': 'uese', "PostData": PostData}
def get(self, PostData):
data = request.args
if data and data['ddos']:
return "hello" + PostData + data['ddos'], 200
return {'hello': 'uese', "PostData": PostData}
def put(self, PostData):
data = test_praser.parse_args()
if data and data['ddos']:
return "hello" + PostData + data['ddos'], 200
return {'hello': 'uese', "PostData": PostData}ps:对于request的取值，我这里定义了常用的三种方法：
post方法：request.get_json(),在调用API时，传值是json方式
get和put方法:request.args 或者reqparse.RequestParser(),调用API时，传的是字符串
其次，定义Blueprint（蓝图）文件 init.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import Blueprint
from flask_restful import Api
from testpost import TestPost
testPostb = Blueprint('testPostb', __name__)
api = Api(testPostb)
api.add_resource(TestPost, '//postMeth') 然后,编写测试脚本testPostM.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
import json
from secautoApp.api.testPostMeth import api
from flask import url_for
from run import app
from secautoApp.api.testPostMeth import TestPost
headers = {'Accept': 'application/json',
'Content-Type': 'application/json'
}
class APITestCase(unittest.TestCase):
def setUp(self):
# self.app = create_app(os.getenv("SECAUTOCFG") or 'default')
self.app = app
# self.app_context = self.app.app_context()
# self.app_context.push()
self.client = self.app.test_client()
#
# def tearDown(self):
# self.app_context.pop()
def test_post(self):
# with app.test_request_context():
response = self.client.get(api.url_for(TestPost, PostData='adb', ddos='123'))
self.assertTrue(response.status_code == 200)
response = self.client.get(url_for('testPostb.testpost', PostData='adb', ddos='123'))
self.assertTrue(response.status_code == 200)
self.assertTrue(json.loads(response.data)['PostData'] =='adb')
response = self.client.post(url_for('testPostb.testpost', PostData='adb'), headers=headers,
data=json.dumps({"ddos": '123'}))
print json.loads(response.data)
self.assertTrue(response.status_code == 200)
response = self.client.put(url_for('testPostb.testpost', PostData='adb', ddos='123'))
self.assertTrue(json.loads(response.data) == 'helloadb123')
response = self.client.put(url_for('testPostb.testpost', PostData='adb'))
print json.loads(response.data)['PostData']
self.assertTrue(response.status_code == 200)ps:调用的api url 主要用的是flask_restful 的api.url_for,或者是flask的url_for,下面我来说下这2种方法的具体使用
flask_restful 的api.url_for说明
api.url_for(TestPost,PostData='adb'),这里的TestPost指的是restful api接口文件中定义的class，因为我们在api蓝图中，已经通过api.add_resource(TestPost, ‘//postMeth')添加类的方式定义过
flask的url_for的使用说明
url_for(‘testPostb.testpost', PostData='adb', ddos='123'),'testPostb.testpost'这个字符串中
testPostb指的是蓝图的名称，也就是testPostb = Blueprint(‘testPostb', name)中Blueprint(‘testPostb',name)中的testPostb。
testpost指的是蓝图下endpoit的端点名称,flask_restful中，指的是api.add_resource(TestPost, ‘//postMeth')中 类名TestPost的小写
启动测试脚本：
C:\secauto3>python run.py test test_post (testPostM.APITestCase) ... ok ---------------------------------------------------------------------- Ran 1 test in 0.056s OK
以上是“python中unittest如何实现api自动化测试”这篇文章的所有内容，感谢各位的阅读！相信大家都有了一定的了解，希望分享的内容对大家有所帮助，如果还想学习更多知识，欢迎关注创新互联行业资讯频道！