Scenarios fail when variables are Zeroed out

[carbz]

For many of the variables, if one zeros out the value of variables on the Metric model, the scenario fails.

Specifically, a user wishes to Zero out categories like Available system capacities (diesel generator) and Grid transformer available system capacities, etc. This is a valid use-case because the user may wish to disregard one of the three technology options for consideration. In this case, he wishes to consider a tradeoff between 'off-grid' and 'mini-grid' systems.

Perhaps we should have a divide by zero check in some of the variable transformations that happen in the Metric Model?

Sample error code below:

raceback (most recent call last):
File "utilities/harvest.py", line 53, in
scenario.run()
File "/var/www/np/np/model/init.py", line 256, in run
metricValueByOptionBySection = datasetStore.applyMetric(metricModel, metricConfiguration)
...
File "/var/www/np/np/lib/metric/mvMax5/costOffGrid.py", line 525, in compute
self.get(DieselGeneratorActualSystemCapacityCounts))
File "/var/www/np/np/lib/variable_store.py", line 213, in get
return self.variableStore.get(variableClass)
File "/var/www/np/np/lib/variable_store.py", line 64, in get
return self.getVariable(variableClass).value
File "/var/www/np/np/lib/variable_store.py", line 76, in getVariable
variable = variableClass(self)
File "/var/www/np/np/lib/variable_store.py", line 191, in init
self.value = self.compute()
File "/var/www/np/np/lib/metric/mvMax5/costOffGrid.py", line 506, in compute
self.get(DieselGeneratorAvailableSystemCapacities))
File "/var/www/np/np/lib/metric/init.py", line 32, in computeSystemCounts
availableCapacityCount = int(remainingCapacity / availableCapacity)
ZeroDivisionError: float division by zero