python - Azure 认知文本分析工具返回 400 错误请求 Python

Question

我尝试使用 Azure 文本分析工具提取主题，但收到 400 Bad request 错误:我的代码如下:

account_key = '546e6162da424e6f991d03b7f6acxxx'
headers = {
 'Ocp-Apim-Subscription-Key': account_key,
 'Content-Type': 'application/json',
 'Accept': 'application/json'}

import requests

tufani={
     "documents": [
         {
             "language": "en",
             "id": "1",
             "text": "First document"
         },
         {
             "language": "en",
             "id": "100",
             "text": "Final document"
         }
     ]
 }

print('Starting topic detection.')
uri = base_url + 'text/analytics/v2.0/topics'
r=requests.post('https://westus.api.cognitive.microsoft.com/text/analytics/v2.0/topics',data=str(tufani),headers =headers)

print(r.status_code, r.reason)

(400，“错误请求”)

我在这方面做错了什么？

谢谢!

Answer 1

我尝试重现您的问题，并且发现如果使用 print(r.text)，您的代码会出现 400 Bad Request 错误，原因如下。

u'{"code":"BadRequest","message":"Invalid request","innerError":{"code":"InvalidRequestContent","message":"Requests to this API should contain at least 100 documents, where each document is not null or empty","minimumNumberOfDocuments":100}}'

官方教程中也有显示Task 3 - Detect topics in a corpus of text ，如下。

This API requires a minimum of 100 text records to be submitted, but is designed to detect topics across hundreds to thousands of records. Any non-English records or records with less than 3 words will be discarded and therefore will not be assigned to topics. For topic detection, the maximum size of a single document that can be submitted is 30KB, and the total maximum size of submitted input is 30MB. Topic detection is rate limited to 5 submissions every 5 minutes.

因此请添加足够的文本记录以供使用API​​​​。