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"""Contain PsoAlgorithm.""" |
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# pylint: disable=redefined-variable-type |
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import logging |
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from grortir.main.model.core.optimization_status import OptimizationStatus |
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from grortir.main.pso.process_validator import ProcessValidator |
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from grortir.main.pso.whole_group_pso import WholeGroupPso |
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LOG = logging.getLogger(__name__) |
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class PsoAlgorithm: |
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"""Optimize process with different strategies. |
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Attributes: |
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process (AbstractProcess): process |
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""" |
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def __init__(self, process, grouping_strategy, optimization_startegy, |
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number_of_particle=40): |
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self.process = process |
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self.grouping_strategy = grouping_strategy |
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self.optimization_strategy = optimization_startegy |
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self.process_validator = ProcessValidator() |
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self.whole_group_pso = WholeGroupPso(self.process, number_of_particle) |
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def run(self): |
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"""Run algorithm.""" |
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self.process_validator.validate(self.process) |
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self.process.optimizationStatus = OptimizationStatus.in_progress |
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number_of_groups = self.grouping_strategy.get_actual_numbers_of_groups() |
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for current_group_number in range(number_of_groups): |
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current_stages = self.grouping_strategy.get_items_from_group( |
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current_group_number) |
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group_optimization_strategy = self.optimization_strategy. \ |
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get_group_optimization_strategy(current_stages, self.process) |
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self.whole_group_pso.optimize(current_stages, |
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group_optimization_strategy) |
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self._post_processing() |
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def _post_processing(self): |
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final_status = OptimizationStatus.success |
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statuses = "" |
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costs = "" |
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for stage in self.grouping_strategy.ordered_stages: |
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statuses += str(stage.optimization_status) + ", " |
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costs += str(stage.get_cost()) + ", " |
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if stage.optimization_status != OptimizationStatus.success: |
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LOG.debug("Failed stage: " + str(stage)) |
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final_status = OptimizationStatus.failed |
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self.process.optimization_status = final_status |
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LOG.info('Final status of process optimization: ' + str(final_status)) |
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LOG.info('Statuses of stages: ' + statuses[:-3]) |
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LOG.info('Costs of stages: ' + costs[:-3]) |
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qbahn /
grortir
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