本文分享如何使用驭码CodeRider 的单元测试功能生成单元测试文件。
在之前的文章如何用 Python 手撸一个 GitLab 代码安全审查工具？中，我用 Python 写了一个接受极狐GitLab 代码安全审计事件流并且将消息推送到钉钉群的脚本，完整的 python 代码为：
from fastapi import FastAPI
import uvicorn
import requests
import json
app = FastAPI()
@app.post("/jh-gitlab")
async def gitlab_payload(data: dict):
# 抓取审计事件中的主要信息
audit_event_info = {
"Action": data['details']['custom_message'],
"Author": data['details']['author_name'],
"IP Address": data['details']['ip_address'],
"Entity Path": data['details']['entity_path'],
"Target Details": data['target_details']
}
print(audit_event_info)
# 发送消息通知
notification(audit_event_info)
def notification(payload: dict):
webhook_url = "https://oapi.dingtalk.com/robot/send?access_token=你的钉钉 webhook token"
# 发送消息的内容
message = {
"msgtype": "text",
"text": {
"content" : "GitLab: {}".format(json.dumps(payload))
}
}
# 发送 POST 请求
headers = {'Content-Type': 'application/json'}
response = requests.post(webhook_url, data=json.dumps(message), headers=headers)
print(response.text)
if json.loads(response.text)['errcode'] == 0:
print("Send Message Success!")
return True
else:
print("Send Message Failed!")
return json.loads(response.text)['errmsg']
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)
对于这段代码写的是否 OK 最好的验证方法就是生成一些单元测试来测试。为了方便，我决定用 AI 工具来帮我生成单元测试代码。
我选择的是极狐GitLab 公司自研发布的 AI 产品驭码CodeRider（当前该产品可以免费试用【https://dl.gitlab.cn/w84csrf4】）。 该产品就有一个单元测试生成功能，当我在 PyCharm 中安装好驭码CodeRier 并直接点击test命令时：
就开始了单元测试代码的自动生成：
最终生成了如下测试代码：
from fastapi.testclient import TestClient
from unittest.mock import patch
import json
from main import app, notification
client = TestClient(app)
def test_gitlab_payload_success():
payload = {
"details": {
"custom_message": "Project marked for deletion",
"author_name": "Administrator",
"ip_address": "36.133.246.166",
"entity_path": "devsecops/ai-deleted-7"
},
"target_details": "ai-deleted-7"
}
with patch('main.notification') as mock_notification:
mock_notification.return_value = True
response = client.post("/jh-gitlab", json=payload)
assert response.status_code == 200
mock_notification.assert_called_once_with({
"Action": "Project marked for deletion",
"Author": "Administrator",
"IP Address": "36.133.246.166",
"Entity Path": "devsecops/ai-deleted-7",
"Target Details": "ai-deleted-7"
})
def test_gitlab_payload_missing_fields():
payload = {
"details": {
"custom_message": "Project marked for deletion",
"author_name": "Administrator",
"ip_address": "36.133.246.166"
},
"target_details": "ai-deleted-7"
}
response = client.post("/jh-gitlab", json=payload)
assert response.status_code == 422
def test_notification_success():
payload = {
"Action": "Project marked for deletion",
"Author": "Administrator",
"IP Address": "36.133.246.166",
"Entity Path": "devsecops/ai-deleted-7",
"Target Details": "ai-deleted-7"
}
with patch('requests.post') as mock_post:
mock_response = mock_post.return_value
mock_response.text = json.dumps({"errcode": 0, "errmsg": "ok"})
result = notification(payload)
assert result == True
mock_post.assert_called_once()
def test_notification_failure():
payload = {
"Action": "Project marked for deletion",
"Author": "Administrator",
"IP Address": "36.133.246.166",
"Entity Path": "devsecops/ai-deleted-7",
"Target Details": "ai-deleted-7"
}
with patch('requests.post') as mock_post:
mock_response = mock_post.return_value
mock_response.text = json.dumps({"errcode": 400, "errmsg": "Bad Request"})
result = notification(payload)
assert result == "Bad Request"
mock_post.assert_called_once()
看到这些代码，我就想知道怎么测试呢。然后就问驭码CodeRider，如果要运行这些单元测试，我该怎么操作？
驭码CodeRider 给的答案是四步：
- 第一步安装依赖
- 第二步将测试代码存放在 test_main.py文件中
- 第三步运行测试文件
- 第四步查看答案
我就遵照四步进行了测试，出现了错误：
提示 FAILED pytest_main.py::test_gitlab_payload_missing_entity_path - KeyError: 'entity_path'。仔细看了一下，测试代码中有一个检测缺失字段的环节，我代码中的 payload 有五个参数：Action、Author、IP Address、Entity Path以及 Target Details。
下面代码
def test_gitlab_payload_missing_fields():
payload = {
"details": {
"custom_message": "Project marked for deletion",
"author_name": "Administrator",
"ip_address": "36.133.246.166"
},
"target_details": "ai-deleted-7"
}
response = client.post("/jh-gitlab", json=payload)
assert response.status_code == 422
用来测试在缺失 entity_path字段的情况。比较遗憾的是，我在源代码中并没有对 payload 中的字段进行校验处理。所以我把这个错误发给了驭码CodeRider：
驭码CodeRider 给出了两种解决方案：
- 方案一：在测试中添加 entity_path 字段
- 方案二：修改 gitlab_payload 函数以处理缺失字段
按照这两种方式都可以，我选择了修改 gitlab_payload相关代码，于是继续问了驭码CodeRider：
驭码给的修改代码为：
audit_event_info = {
"Action": data['details'].get('custom_message', 'Unknown Action'),
"Author": data['details'].get('author_name', 'Unknown Author'),
"IP Address": data['details'].get('ip_address', 'Unknown IP'),
"Entity Path": data['details'].get('entity_path', 'Unknown Path'),
"Target Details": data.get('target_details', 'Unknown Target')
}
就是给缺失的字段增加默认值。接着执行测试命令：
可以看到 4 条测试全部通过。
当然，上面的整个流程仅仅为测试使用，生成的单元测试不一定是最准确、最后直接可以使用的，但是我们可以看到用 AI 来生成单元测试文件至少是靠谱的、能够减轻不少工作量，先用 AI 生成，然后做一些修改，这样工作能轻松不少。
用 AI 来帮助生成单元测试文件看来靠谱，驭码CodeRider 可以的！
