MTConnect.NET-AgentProcessor-Python 6.2.0-beta

MTConnect Python Agent Processor

This Agent Processor uses individual Python script files to transform input data

Configuration

- python:
    directory: processors

• directory - The directory to load and monitor for ".py" script files.

Scripts

Scripts are implemented using IronPython and supports Python v3. Both the MTConnect Entity to process and the MTConnect Agent are both accessible from the script.

Example 1

Change the Result for a DataItem with a Type = "EMERGENCY_STOP"

def process(observation):

    if observation.DataItem.Type == 'EMERGENCY_STOP':

        result = observation.GetValue('Result')

        if result.lower() == 'TRUE'.lower():
            observation.AddValue('Result', 'ARMED')
        else:
            observation.AddValue('Result', 'TRIGGERED')

    return observation

Example 2

Change the Result for a DataItem with a Type = "PATH_FEEDRATE_OVERRIDE" from a Percentage to an Integer by multiplying by 100

def process(observation):

    if observation.DataItem.Type == 'PATH_FEEDRATE_OVERRIDE':

        result = float(observation.GetValue('Result'))
        observation.AddValue('Result', result * 100)

    return observation

Example 3

Add a new TimeSeries observation for any time a DataItem with an ID = "L2p1Fact" changes

import clr
clr.AddReference("MTConnect.NET-Common")
import MTConnect.Input

def process(observation):

    if observation.DataItem.Id == "L2p1Fact": 

        timeseries = MTConnect.Input.TimeSeriesObservationInput()
        timeseries.DataItemKey = 'L2p1Sensor'
        timeseries.SampleRate = 100

        n = 15
        samples = [0] * n

        for x in range(n):
            samples[x] = float(x)

        timeseries.Samples = samples

        observation.Agent.AddObservation(observation.DataItem.Device.Uuid, timeseries)

    return observation

Contribution / Feedback

• Please use the Issues tab to create issues for specific problems that you may encounter
• Please feel free to use the Pull Requests tab for any suggested improvements to the source code
• For any other questions or feedback, please contact TrakHound directly at info@trakhound.com.

License

This application and it's source code is licensed under the MIT License and is free to use.