如何利用POSTMAN解譯遠端PYTHON SERVER 的JSON資料

woff

首先下載POSTMAN

安裝好以後先到AZURE Portal endpoints 找到遠端SERVER路徑
如：http://7688d3eb-fceb-47a8-b4df-921329fafd76.westus.azurecontainer.io/score

POSTMAN PYTHON SERVER JSON

開啟POSTMAN -> File -> New Postman Windows

POSTMAN PYTHON SERVER JSON

Create a request

POSTMAN PYTHON SERVER JSON

POST->輸入URL-> Body -> raw -> 貼上資料 -> Send
最後會解譯出來

POSTMAN PYTHON SERVER JSON

也可用jupyter notebook
寫一段程式

1. url = 'http://df055355-8f07-4440-a6d6-37331b6a5b69.eastus.azurecontainer.io/score'
   
2. 
   
3. import urllib.request
   
4. import json
   
5. 
   
6. x_new = [[2, 180, 74, 24, 21, 23.9091702, 1.488172308, 22]]
   
7. data = str.encode(json.dumps({"data": x_new}))
   
8. 
   
9. headers = {'Content-Type':'application/json'}
   
10. 
    
11. req = urllib.request.Request(url, data, headers)
    
12. response = urllib.request.urlopen(req)
    
13. result = response.read()
    
14. print(result)

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或

1. import requests
   
2. import json
   
3. 
   
4. endpoint = 'http://df055355-8f07-4440-a6d6-37331b6a5b69.eastus.azurecontainer.io/score'
   
5. 
   
6. x_new = [[2,180,74,24,21,23.9091702,1.488172308,22],
   
7.          [0,148,58,11,179,39.19207553,0.160829008,45]]
   
8. 
   
9. # Convert the array to a serializable list in a JSON document
   
10. input_json = json.dumps({"data": x_new})
    
11. 
    
12. # Set the content type
    
13. headers = { 'Content-Type':'application/json' }
    
14. 
    
15. predictions = requests.post(endpoint, input_json, headers = headers)
    
16. predicted_classes = json.loads(predictions.json())
    
17. predicted_classes

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