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[教學] 如何利用POSTMAN解譯遠端PYTHON SERVER 的JSON資料

[複製鏈接]
發表於 2020-4-29 22:13:29 | 顯示全部樓層 |閱讀模式
 
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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

POSTMAN PYTHON SERVER JSON


開啟POSTMAN -> File -> New Postman Windows

POSTMAN PYTHON SERVER JSON

POSTMAN PYTHON SERVER JSON

Create a request

POSTMAN PYTHON SERVER JSON

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

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. import urllib.request
  3. import json

  4. x_new = [[2, 180, 74, 24, 21, 23.9091702, 1.488172308, 22]]
  5. data = str.encode(json.dumps({"data": x_new}))

  6. headers = {'Content-Type':'application/json'}

  7. req = urllib.request.Request(url, data, headers)
  8. response = urllib.request.urlopen(req)
  9. result = response.read()
  10. print(result)
複製代碼


  1. import requests
  2. import json

  3. endpoint = 'http://df055355-8f07-4440-a6d6-37331b6a5b69.eastus.azurecontainer.io/score'

  4. x_new = [[2,180,74,24,21,23.9091702,1.488172308,22],
  5.          [0,148,58,11,179,39.19207553,0.160829008,45]]

  6. # Convert the array to a serializable list in a JSON document
  7. input_json = json.dumps({"data": x_new})

  8. # Set the content type
  9. headers = { 'Content-Type':'application/json' }

  10. predictions = requests.post(endpoint, input_json, headers = headers)
  11. predicted_classes = json.loads(predictions.json())
  12. predicted_classes
複製代碼



 

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