如何使用 n8n 进行接口测试的资源。
视频地址
测试接口的文档
n8n code 节点模拟断言代码
// 单接口
const resp = $input.first().json;
if (resp.status !== "ok") {
throw new Error("Response status error");
}
if (resp.method !== "GET") {
throw new Error("Response method error");
}
return {
json: { message: "ok" },
};
// 接口编排
const resp = $input.first().json;
if (resp.firstName !== "Emily") {
throw new Error("First name is incorrect!");
}
return {
json: { message: "ok" },
};
生成 python unittest 及 runner 代码的提示词
用python的unit test写下面接口的测试用例。
// Could be GET or POST/PUT/PATCH/DELETE
fetch('https://dummyjson.com/test')
.then(res => res.json()) .then(console.log);
/* { status: 'ok', method: 'GET' } */
再写个http节点去运行测试用例，最好是返回的内容里能看到用例执行的情况。
目录结构
project/
├── test_api.py # unittest 用例
├── runner.py # HTTP 测试运行器
测试用例代码
# test_api.py
import unittest
import requests
class TestDummyJsonAPI(unittest.TestCase):
def test_get_test_endpoint(self):
url = "https://dummyjson.com/test"
response = requests.get(url)
# 1. HTTP 状态码
self.assertEqual(response.status_code, 200)
data = response.json()
# 2. 返回字段校验
self.assertIn("status", data)
self.assertIn("method", data)
# 3. 值校验
self.assertEqual(data["status"], "ok")
self.assertEqual(data["method"], "GET")
if __name__ == "__main__":
unittest.main()
Fast api runner 代码
# runner.py
from fastapi import FastAPI, Response
import unittest
import io
import sys
app = FastAPI()
@app.get("/run-tests")
def run_tests():
# 捕获 unittest 输出
stream = io.StringIO()
runner = unittest.TextTestRunner(
stream=stream,
verbosity=2
)
loader = unittest.TestLoader()
suite = loader.discover(".")
result = runner.run(suite)
output = stream.getvalue()
# 组装返回内容
response_body = {
"testsRun": result.testsRun,
"failures": len(result.failures),
"errors": len(result.errors),
"wasSuccessful": result.wasSuccessful(),
"output": output
}
return response_body
Fast api 安装依赖以及运行的命令
pip install fastapi uvicorn requests
uvicorn runner:app --reload --host 0.0.0.0
访问宿主机 ip 的各种方式
- Mac obrstack: host.orb.internal:8000/run-tests
- Linux: host.docker.internal:8000/http://172.17.0.1:8000
- Win/Mac docker desktop: host.docker.internal:8000