Question

我正在尝试使用Azure Machine Learning studio中的以下python脚本写入Cosmos DB，但是我收到以下错误：

注意：相同的代码在MS WorkBench / VS中正常工作。

错误消息：

文件＆＃34; C：\ pyhome \ lib \ site-packages \ requests \ adapters.py＆＃34;，第447行， send raise SSLError（e，request = request）SSLError :(＆＃39;写操作超时＆＃39;，）

PYTHON SCRIPT

import os
import sys
import pandas as pd

path = os.path.dirname("./Script Bundle/") + "/PYPackage/"
sys.path.append(path)



from pydocumentdb import document_client as document_client

# The entry point function can contain up to two input arguments:
#   Param<dataframe1>: a pandas.DataFrame
#   Param<dataframe2>: a pandas.DataFrame
def azureml_main(dataframe1 = None, dataframe2 = None):
# Execution logic goes here
# If a zip file is connected to the third input port is connected,
# it is unzipped under ".\Script Bundle". This directory is added
# to sys.path. Therefore, if your zip file contains a Python file
# mymodule.py you can import it using:
# import mymodule

config = {         'ENDPOINT': 
'https://xxxxxxxxxxxxxxxx.documents.azure.com','MASTERKEY': '2O1yyxxxxxxxxxxxxxhjfj5jclWCXImDxxxxxxxxxxxxjlwAQ==','DOCUMENTDB_DATABASE': 'testpythoncolllll','DOCUMENTDB_COLLECTION': 
'xxxxxxxxxxxxxx'};

# Initialize the Python DocumentDB client
client = document_client.DocumentClient(config['ENDPOINT'], {'masterKey': 
config['MASTERKEY']})

# Create a database
db = client.CreateDatabase({ 'id': config['DOCUMENTDB_DATABASE'] })
# Create collection options
options = {
    'offerEnableRUPerMinuteThroughput': True,
    'offerVersion': "V2",
    'offerThroughput': 400
}

# Create a collection
collection = client.CreateCollection(db['_self'], { 'id': 
config['DOCUMENTDB_COLLECTION'] }, options)

document1 = client.CreateDocument(collection['_self'],
{ 
    'id': 'server1',
    'Web Site': 0,
    'Cloud Service': 0,
    'Virtual Machine': 0,
    'name': 'some' 
})

使用python脚本在Azure ML实验中写入COSMOS DB的麻烦

0 个答案: