MTConnect Python Agent Processor

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

Configuration

processors: - 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