def find_suitable_shapes()

in docker/services/resize/resize_service.py [0:0]

• 28 lines of code
• 16 McCabe index (conditional complexity)

    def find_suitable_shapes(cpu_min, cpu_max, memory_min, memory_max,
                             net_output_min,
                             disk_iops_min,
                             prioritized_shapes):
        suitable_shapes = []

        for shapes in prioritized_shapes:
            for shape in shapes:
                shape_cpu = getattr(shape, 'cpu', -1)
                shape_memory = getattr(shape, 'memory', -1)

                cpu_suits = True
                memory_suits = True
                net_output_suits = True
                iops_suits = True

                if cpu_min and cpu_max:
                    cpu_suits = cpu_min <= shape_cpu <= cpu_max
                if memory_min and memory_max:
                    memory_suits = memory_min <= shape_memory <= memory_max

                if net_output_min:
                    shape_net_output = shape.network_throughput
                    net_output_suits = shape_net_output \
                                       and net_output_min <= shape_net_output
                if disk_iops_min:
                    shape_iops = shape.iops
                    iops_suits = shape_iops and disk_iops_min <= shape_iops

                if cpu_suits and memory_suits and iops_suits \
                        and net_output_suits:
                    suitable_shapes.append(shape)
        return [shape.get_dto() for shape in suitable_shapes]