从注册到实战，超简单图床使用（附代码实现本地图片转换为网络url）

1.注册一个薄荷图床的的账号，并添加客服申请api测试权限

​ 查看api文档

我们只需关注两个必选参数即可，如图中红色标注

2.编写pthon代码

​ 其他语言也可以，只要发送post请求即可，注意url、token和照片需要更改为你自己的

import requests


def python_demo():
    url = 'https://s1.bib0.com/test3/api/upload/'
    files = {'uploadedFile': ('./x.jpg', open('./x.jpg', 'rb'), "image/jpeg")}
    data = {'api_token': 'fe0d5e9c9e848a3ccb47',
            'upload_format': 'file',  # 可选值 file 、base64 或者 url，不填则默认为file
            }
    res = requests.post(url, data=data, files=files)
    print(res.text)

    json_data = json.loads(res.text)

    normol_url = json_data['url'].replace('\\/', '/')
    return normol_url

3.测试

​ 运行该程序后，我们会收到回包，内容如下

{"status":"success","statusCode":"200","resultData":"success：File uploaded","uploadFormat":"file","protocolType":"https","url":"https:\/\/s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg","originFileName":"x.jpg","lessurl":"s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg","bbsurl":"[img]https:\/\/s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg[\/img]","markdownurl":"![](https:\/\/s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg)","htmlurl":"<img src='https:\/\/s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg' \/>","fileNameBody":"x","fileNameExt":"jpg","fileSize":2355537,"image_x":1737,"image_y":3088,"image_pixels":5363856,"image_bits":8}

​ 我们随便找一个在线解析json工具进行解析，结果如下

{
    "status": "success",
    "statusCode": "200",
    "resultData": "success：File uploaded",
    "uploadFormat": "file",
    "protocolType": "https",
    "url": "https:\/\/s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg",
    "originFileName": "x.jpg",
    "lessurl": "s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg",
    "bbsurl": "[img]https:\/\/s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg[\/img]",
    "markdownurl": "![](https:\/\/s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg)",
    "htmlurl": "<img src='https:\/\/s1.bib0.com\/test3\/i\/2024\/09\/11\/2u93.jpg' \/>",
    "fileNameBody": "x",
    "fileNameExt": "jpg",
    "fileSize": 2355537,
    "image_x": 1737,
    "image_y": 3088,
    "image_pixels": 5363856,
    "image_bits": 8
}

​ 然后用代码提取所需的照片url即可。