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Hi, I am trying to modify this code to run calculation using this python code on product systems created on OpenLCA.

I have assigned parameters to the product system and need to run the calculation and export the results.

With this code I can select the product system, impact method and name a CVS file. However, after that the calculation does not run. I am not an expert in Python. Anyone can give me an help?

Thank you

import csv

 from org.openlca.app import App

from org.openlca.app.components import FileChooser, ModelSelectionDialog

from org.openlca.app.db import Cache

from org.openlca.app.util import Labels

from org.openlca.core.math import CalculationSetup, CalculationType, SystemCalculator

from org.openlca.core.matrix import ProductSystemBuilder, LinkingConfig

from org.openlca.core.model import ProcessType, ProductSystem

from org.openlca.core.database import ImpactMethodDao, ProcessDao

from org.eclipse.swt.widgets import Display

def main():

    global db

    # select the processes

    productsystem = ModelSelectionDialog.multiSelect(ModelType.PRODUCT_SYSTEM)

    if productsystem is None or len(productsystem) == 0:

        print("No productsystem were selected")


    print("Selected %i productsystem" % len(productsystem))

    # select the LCIA method

    method = ModelSelectionDialog.select(ModelType.IMPACT_METHOD)

    if method is None:

        print("No LCIA method was selected")


    indicators = ImpactMethodDao(db).getCategoryDescriptors(method.id)

    print("Selected LCIA method '%s' with %i indicators" %

            (method.name, len(indicators)))

    # select the CSV file where the results should be written to

    f = FileChooser.forExport('*.csv', 'export.csv')

    if f is None:

        print("No CSV file selected")


    print("Selected CSV file: %s" % f.absolutePath)


    # init the CSV file, run calculations, and write results

    with open(f.getAbsolutePath(), 'wb') as stream:

        # configure the CSV writer

        # see https://docs.python.org/2/library/csv.html

        writer = csv.writer(stream, delimiter=',')

        # write the indicators as column headers

        header = ['ProductSystem', 'Type', 'Product', 'Amount', 'Unit']

        for i in indicators:

            header.append(enc('%s (%s)' % (i.name, i.referenceUnit)))


        for d in productsystem:

            # load the process

            productsystem = ProductsystemDao(db).getForId(d.id)

            ptype = 'Unit productsystem'

            if productsystem.productsystemType != productsystemType.UNIT_PRODUCTSYSTEM:

                ptype = 'LCI result'

            #qref = Productsystem.quantitativeReference

            # we can only create a product system from a process

            #  # when it has a quantitative reference flow which is

            # a product output or waste input

             #  if qref is None:

              #   print('Cannot calculate %s -> no quant.ref.' % d.name)

               #   continue


            # prepare the CSV row; we will calculate the results

            # related to 1.0 unit of the reference flow

            row = [




                1.0, # qref.amount,




            # build the product system with a configuration

           #print('Build product system for: %s' % d.name)

           #config = LinkingConfig()

           # set ProductsystemType.UNIT_PRODUCTSYSTEM to prefer unit processes

           # config.preferredType = ProductsystemType.LCI_RESULT

             #provider linking: the other options are IGNORE and PREFER

           # config.providerLinking = LinkingConfig.DefaultProviders.ONLY

           # builder = ProductSystemBuilder(

           #    Cache.getMatrixCache(), config)

           # system = builder.build(productsystem)

           # system.targetAmount = 1.0  # the reference amount

            # run the calculation


            print('Calculate productsystem: %s' % d.name)

            calculator = productsystemCalculator(

                Cache.getMatrixCache(), App.getSolver())

            setup = CalculationSetup(

                CalculationType.SIMPLE_CALCULATION, productsystem)

            setup.impactMethod = method

            result = calculator.calculateSimple(setup)

            # write results

            print('Write results for: %s' % d.name)

            for i in indicators:

                value = result.getTotalImpactResult(i)



def enc(s):

    return unicode(s).encode("utf-8")

if __name__ == "__main__":

in openLCA by (180 points)

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