demo-timeseries-adder-with-model

#demo-timeseries-adder-with-model

2 implementations of a sample analytic for the Predix Analytics platform that processes timeseries data and uses a trained model. Specific details on how to package these analytics can be found within the implementation folders:

• demo-timeseries-adder-with-model-java: A Java implementation of the demo-timeseries-adder-with-model
• demo-timeseries-adder-with-model-py: A Python implementation of the demo-timeseries-adder-with-model

Analytic template

This analytic takes in 2 timeseries arrays and returns their sum, augmented by a "threshold" model. This structure is outlined in this analytic template.

Input format

The expected JSON input data format is as follows:

{
  "data": {
    "time_series": {
      "numberArray1": [
        1.0,
        2.0,
        3.0
      ],
      "numberArray2": [
        100.0,
        200.0,
        300.0
      ],
      "time_stamp": [
        "1455733669601",
        "1455733669602",
        "1455733669603"
      ]
    }
  }
}

Output format

The JSON output format from the analytic is as follows:

{
  "data": {
    "time_series": {
      "time_stamp": [
        "1455733669601",
        "1455733669602",
        "1455733669603"
      ],
      "sum": [
        101.0,
        202.0,
        303.0
      ]
    }
  }
}

Model

These analytics are written to accept a model with the key "threshold" that contains some numeric value. This is illustrated as the file sampleModel.txt.

For more information on developing analytics for the Predix Analytics platform, see Analytic Development in the Predix Analytics Services documentation on Predix IO.