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Datasource Plugin (Modeling)

The final capability of Python data source plugins is to make changes to the Zenoss model. This allows a data source to make changes to the model in the same way that zenmodeler does. Having this capability in a data source allows modeling more frequently than the normal 12 hour zenmodeler interval.

To demonstrate this through an exercise, we'll extend the existing Conditions plugin to capture the what the Conditions API calls weather which is some text that looks like "Scattered Clouds" or "Sunny". We'll then show this value for each location in the web interface.

Add Modeling to Conditions Data Source Plugin

Follow these steps to add modeling to the Conditions data source plugin:

  1. Edit $ZP_DIR/zenpack.yaml.

    Add the following weather property to the WundergroundLocation class between the existing timezone and api_link properties.

    weather:
  label: Weather

  2. Edit $ZP_DIR/dsplugins.py.

    Add the following needed import to the top of dsplugins.py.

    from Products.DataCollector.plugins.DataMaps import ObjectMap

    Add the following code to the Conditions class' collect method right above the returnValue(data) line indented one level further. The returnValue(data) line is included in the following update to show where the new code should be placed.

    data['maps'].append(
    ObjectMap({
        'relname': 'wundergroundLocations',
        'modname': 'ZenPacks.training.WeatherUnderground.WundergroundLocation',
        'id': datasource.component,
        'weather': current_observation['weather'],
        }))

    returnValue(data) # existing line

    The maps concept here is exactly the same as it is in modeler plugins. data['maps'] can contain anything that a modeler plugin's process method can return.

  3. Don't update the Location monitoring template.

    We're adding capability to a datasource that's already configured. No updates are required to the monitoring template.

  4. Restart Zenoss.

    If we had only updated the collect method of the Conditions plugin we would only need to restart zenpython. However, because we added the new weather property to the WundergroundLocation class, we must restart nearly everything, so it's simpler to restart everything.

Test Modeling Current Weather

Follow these steps to test weather condition monitoring:

  1. Run the following command to collect from wunderground.com.

    zenpython run -v10 --device=wunderground.com

    There will be a lot of output from this command, but we're looking for the following line which indicates that our maps were applied:

    DEBUG zen.python: Applying 1 datamaps to wunderground.com
  2. Navigate to the Locations on the wunderground.com device and verify that each location shows something in its Weather column.