Access Jupyter API for Python(使用Jupyter API 上傳檔案等)..

uploadImg4jupyter.py

import requests
import os
import base64
import urllib.parse
import json
import socket

def jupyter_uploadfile(theport, filePath, resourceDstPath):
    '''
    param:
       theport: port
       filePath: 照片路徑
       resourceDstPath: jupyter路徑不包含照片檔名
    '''

    hostname = 'xx.xx.xx.xx'

    password = 'xx'

    # 此處注意自己的jupyter登入路徑是什麼, 我的IP後方是jupyter
    base_url = 'http://{0}/jupyter/'.format(hostname)

    #此處也是這邊自己的格式, 請看自己login那頁
    login_url = base_url + 'login?n=' + str(theport)

    api_contents_url= base_url + "api/contents/想要知道的jupyter路徑/"

    req_session = requests.Session()

    res = req_session.get(login_url)

    xsrf_cookie = res.cookies['_xsrf']

    params={'_xsrf':xsrf_cookie,'password': password}

    #網路有資訊說可以藉由 req_session 存取api, 但實際測試put無法實現
    res = req_session.post(login_url, data=params)

    #取得某資料夾路徑的資訊
    res = req_session.get(api_contents_url)


    fileName = filePath[1 + filePath.rfind(os.sep):]

    resourceDstPath = resourceDstPath + fileName

    api_contents_url = base_url +  "api/contents/" + resourceDstPath

    with open(filePath, 'rb') as myfile:
        data=myfile.read()

        b64data=base64.b64encode(data)
        
        #此處我讀.jpg時有多了b'xxxxxxxxx', 所以把b''去掉
        b64data = str(b64data).split('\'')[1]

        body = json.dumps({
            "name": fileName,
            "path": resourceDstPath,
            "type":"file",
            "format": "base64",
            "content": b64data
        })
        
        #重點在這邊, 需要加X-XSRFToken header, 用postman測出來的
        headers = {}

        headers["X-XSRFToken"] = xsrf_cookie

        res = req_session.put(api_contents_url, data=body, headers=headers)