我有一个Azure ML端点，当我在json中提供数据时，该端点用于获得评分。
import requests
import json
# URL for the web service
scoring_uri = 'http://107a119d-9c23-4792-b5db-065e9d3af1e6.eastus.azurecontainer.io/score'
# If the service is authenticated, set the key or token
key = '##########################'
data = {"data":
[{'Associate_Gender': 'Male', 'Associate_Age': 20, 'Education': 'Under Graduate', 'Source_Hiring': 'Internal Movement', 'Count_of_Incoming_Calls_6_month': None, 'Count_of_Incoming_Calls_6_month_bucket': 'Greater than equal to 0 and less than 4', 'Internal_Quality_IQ_Score_Last_6_Months': '93%', 'Internal_Quality_IQ_Score_Last_6_Months_Bucket': 'Greater than 75%', 'Associate_Tenure_Floor_Bucket': 'Greater than 0 and less than 90', 'Current_Call_Repeat_Yes_No': False, 'Historical_CSAT_score': 'Greater than equal to 7 and less than 9', 'Customer_Age': 54, 'Customer_Age_Bucket': 'Greater than equal to 46', 'Network_Region_Originating_Call': 'East London', 'Length_of_Relationship_with_Customer': 266, 'Length_of_Relationship_with_Customer_bucket': 'Greater than 90', 'Call_Reason_Type_L1': 'Voice', 'Call_Reason_Type_L2': 'Prepaid', 'Call_Reason_Type_L3': 'Request for Reversal Provisioning', 'Number_of_VAS_services_active': 6, 'Customer_Category': 'Mercury', 'Customer_monthly_ARPU_GBP_Bucket': 'More than 30', 'Customer_Location': 'Houslow'}]
}
# Convert to JSON string
input_data = json.dumps(data)
# Set the content type
headers = {'Content-Type': 'application/json'}
# If authentication is enabled, set the authorization header
headers['Authorization'] = f'Bearer {key}'
# Make the request and display the response
resp = requests.post(scoring_uri, input_data, headers=headers)
print(resp.text)
如何从文件批量发送输入数据并获得输出。还是发送大量数据进行端点计分是不可行的？也欢迎对天蓝色评分的任何其他建议。
假设您有一个名为json_data的文件夹，其中存储了所有json文件，然后您将打开这些文件并将其发布到端点，如下所示：
import requests
import json
import os
import glob
your_uri = 'https://jsonplaceholder.typicode.com/'
folder_path = './json_data'
for filename in glob.glob(os.path.join(folder_path, '*.json')):
with open(filename, 'r') as f:
json_input_data = json.load(f)
resp = requests.post(your_uri, json_input_data)
print(resp)
[要显示成功的http响应201，请在python文件的同一目录中创建一个文件夹，并将其命名为jsonplaceholder.typicode.com，然后在该文件夹中创建一些json文件，然后将一些数据粘贴到这些文件中，例如：
file1.json：
json_datafile2.json：
{
"title": "some title name 1",
"body": "some body content 1"
}
等
您可以轻松地重写它，并使用自己的uri，键，标头等。