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senz.sdk.notification's Introduction

FORMAT: 1A Host: https://leancloud.cn/1.1/functions/

Senz Data Process Service

senz data process service provide a restful API for :

  • Binding senz with several different raw data.

  • and Extracting behaviors from different users.

Binding Senz with several different raw data [/senz/]

You can invoke this method to bind all raw data which are unbind. And you should specify the data is training set or not by is_training.

isTraining:

  • 1 : is training sample.
  • 0 : is not training sample.

Bind senz with raw data [POST]

  • Request (application/json)

    • Header

        X-AVOSCloud-Application-Id  : pin72fr1iaxb7sus6newp250a4pl2n5i36032ubrck4bej81,
        X-AVOSCloud-Application-Key : qs4o5iiywp86eznvok4tmhul360jczk7y67qj0ywbcq35iia,
        X-AVOSCloud-Application-Production : 1,
        Content-Type : application/json; charset=utf-8
      
    • Body

        {
        "isTraining": 1 or 0
        }
      
  • Response 201 (application/json)

      {
      "result":{
          "code":0,
          "result":[
              "553f0100e4b0467125cc9c70",
              "553f19ece4b0467125d03226",
              "553f1acbe4b0467125d04d95",
              "555c2f9ee4b044c3499b11d3",
              "555c2fa4e4b044c3499b1203",
              "555c2fabe4b044c3499b122f",
              "555d8a08e4b0b8cc433f6c09",
              "5559863be4b0137a4e33a68c",
              "555c2efee4b044c3499b0d51",
              "555c2f04e4b044c3499b0d7e",
              "555c2f08e4b044c3499b0d95",
              "555c2f0be4b044c3499b0dc0",
              "555c2f0fe4b044c3499b0de0",
              "counterfeitObjectId",
              "5559880ce4b0137a4e33db53",
              "555c2dede4b044c3499b04f8",
              "555c2e8ce4b044c3499b09fe",
              "555c2e90e4b044c3499b0a24",
              "555c2e93e4b044c3499b0a3e",
              "555c2e89e4b044c3499b09e2",
              "555d8a4ce4b0b8cc433f7311"
          ],
          "message":"rawsenz generated."
      }
      }
    

Extract Behavior [/behavior/]

You can extract user's behavior list from start time to end time by invoking this method with specific userId, startTime, endTime and timeScale.

Extract Behavior [POST]

  • Request (application/json)

    • Header

        X-AVOSCloud-Application-Id  : pin72fr1iaxb7sus6newp250a4pl2n5i36032ubrck4bej81,
        X-AVOSCloud-Application-Key : qs4o5iiywp86eznvok4tmhul360jczk7y67qj0ywbcq35iia
        X-AVOSCloud-Application-Production : 1,
        Content-Type : application/json; charset=utf-8
      
    • Body

        {
        "userId": "555d8983e4b0b8cc433f5c62",
        "startTime": 1410000000000,
        "endTime": 1440000000000,
        "timeScale": "tenMinScale"
        }
      
  • Response 201 (application/json)

      {
      "result":{
          "code":0,
          "result":{
              "behaviorData":[
                  {
                  "motionProb":{"unknown":1},
                  "tenMinScale":82,
                  "soundProb":{"scenic_spot":0.3,"traffic":0.2,"residence":0.5},
                  "poiProbLv1":{"shop":0.016434917822026524,"hallway":0.014957423719230065,"busy_street":0.019180711946056184,"flat":0.09020109305212921,"train_station":0.0021386172067842874,"living_room":0.47171305120789647,"supermarket":0.034099493685436244,"quite_street":0.051462099363445375,"bus_stop":0.019715366949585294,"bedroom":0.04643052651887983,"study_quite_office":0.015280221089777996,"forrest":0.02045756880502049,"kitchen":0.19792890863373186},
                  "timestamp":1430200000000
                  }
              ],
              "user":{"__type":"Pointer","className":"_User","objectId":"555d8983e4b0b8cc433f5c62"},
              "startTime":1430200000000,
              "endTime":1430200000000,
              "dayType":"normal",
              "objectId":"555da671e4b0b8cc43428c41",
              "createdAt":"2015-05-21T09:33:37.156Z",
              "updatedAt":"2015-05-21T09:33:37.156Z"
          },
          "message":"behavior generated."
      }
      }
    

Analyse Event [/event/]

By invoking this interface, you can calculate the lateset behavior event at specific user.

Analyse user behaviors' event [POST]

  • Request (application/json)

    • Header

        X-AVOSCloud-Application-Id  : pin72fr1iaxb7sus6newp250a4pl2n5i36032ubrck4bej81,
        X-AVOSCloud-Application-Key : qs4o5iiywp86eznvok4tmhul360jczk7y67qj0ywbcq35iia
        X-AVOSCloud-Application-Production : 1,
        Content-Type : application/json; charset=utf-8
      
    • Body

        {
        "userId": "555d8983e4b0b8cc433f5c62",
        "behavior_len": 1800000,
        "step": 300000,
        "scale": "tenMinScale",
        "algoType": "GMMHMM",
        "tag": "for_testing",
        "counterSetting": 500;
        }
      
  • Response 201 (application/json)

      {  
      "result":{  
          "code":0,
          "result":{  
              "user":{  
                  "__type":"Pointer",
                  "className":"_User",
                  "objectId":"555e92e6e4b06e8bb85473ce"
              },
              "behaviorLastUpdatedAt":{  
                  "__type":"Date",
                  "iso":"2015-05-29T08:14:58.428Z"
              },
              "objectId":"556453cce4b067f2f5b67b31",
              "createdAt":"2015-05-26T11:06:52.469Z",
              "updatedAt":"2015-05-29T08:14:56.412Z"
          },
          "message":"All events are generated correctly."
      }
      }
    

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