如何使用Python SDK进行API测试?

计算弹性计算技术服务知识库
前言

火山引擎提供了统一的鉴权方式进行 API 请求,各产品的请求鉴权方式是相同的。本文介绍如何使用 Python SDK 提供的签名方法,进行测试。

前期准备

Python SDK :Github地址 安装 Python SDK

pip install --user volcengine
```
`
# GET 示例代码
```python
# coding: utf-8
import datetime
from urllib import response
from numpy import place

from volcengine.auth.SignerV4 import SignerV4
from volcengine.auth.SignParam import SignParam
from volcengine.Credentials import Credentials
from collections import  OrderedDict
import requests
import datetime

if __name__ == '__main__':
    sign = SignerV4()

    param = SignParam()
    param.path = '/'
    param.method = 'GET'
    param.host = 'open.volcengineapi.com'
    param.body = ''

    param.date = datetime.datetime.utcnow()
    query = OrderedDict()
    query['Action']= 'DescribeInstances'
    query['Version'] = '2020-04-01'

    param.query = query
    header = OrderedDict()
    header['Host'] = 'open.volcengineapi.com'
    param.header_list = header

    cren = Credentials('ak','sk==', 'ecs', 'cn-beijing')
    resulturl = sign.sign_url(param, cren)
    response = requests.request("GET",url="https://"+param.host+'/?'+resulturl)

    print(response.text)
```

# POST 示例代码
````undefined
if __name__ == '__main__':
    sign = SignerV4()

    param = SignParam()
    param.path = '/'
    param.method = 'POST'
    param.host = 'open.volcengineapi.com'
    param.body = '{}'

    param.date = datetime.datetime.utcnow()
    query = OrderedDict()
    query['Action']= 'action'
    query['Version'] = '2020-04-01'

    param.query = query
    header = OrderedDict()
    header['Host'] = 'open.volcengineapi.com'
    param.header_list = header

    cren = Credentials('ak','sk==', 'ecs', 'cn-beijing')
    resulturl = sign.sign_url(param, cren)
    response = requests.request("POST",url="https://"+param.host+'/?'+resulturl,data=param.body)

    print(response.text)
```
`
**如果您有其他问题,欢迎您联系火山引擎**[技术支持服务](https://console.volcengine.com/ticket/createTicketV2/)

0
0
0
0
关于作者

文章

0

获赞

0

收藏

0

所属团队号:
相关资源
字节跳动基于 DataLeap 的 DataOps 实践
随着数字化转型的推进以及业务数仓建设不断完善,大数据开发体量及复杂性逐步上升,如何保证数据稳定、正确、持续产出成为数据开发者核心诉求,也成为平台建设面临的挑战之一。本次分享主要介绍字节对于DataOps的理解 以及 DataOps在内部业务如何落地实践。
相关产品
评论
未登录
看完啦,登录分享一下感受吧~
暂无评论