from contextlib import suppress from distutils.version import StrictVersion from typing import Set, Union from ereuse_devicehub.resources.device.models import Device from ereuse_devicehub.resources.enums import RatingSoftware from ereuse_devicehub.resources.event.models import AggregateRate, EreusePrice, Rate, \ WorkbenchRate from ereuse_devicehub.resources.event.rate.workbench import v1_0 RATE_TYPES = { WorkbenchRate: { RatingSoftware.ECost: { '1.0': v1_0.Rate() }, RatingSoftware.EMarket: { } } } def rate(device: Device, rate: Rate): """ Rates the passed-in ``rate`` using values from the rate itself and the ``device``. This method mutates ``rate``. :param device: The device to use as a model. :param rate: A half-filled rate. """ cls = rate.__class__ assert cls in RATE_TYPES, 'Rate type {} not supported.'.format(cls) assert rate.software in RATE_TYPES[cls], 'Rate soft {} not supported.'.format(rate.software) assert str(rate.version) in RATE_TYPES[cls][rate.software], \ 'Rate version {} not supported.'.format(rate.version) RATE_TYPES[cls][rate.software][str(rate.version)].compute(device, rate) def main(rating_model: WorkbenchRate, software: RatingSoftware, version: StrictVersion) -> Set[Union[WorkbenchRate, AggregateRate, EreusePrice]]: """ Generates all the rates (per software and version) for a given half-filled rate acting as a model, and finally it generates an ``AggregateRating`` with the rate that matches the ``software`` and ``version``. This method mutates ``rating_model`` by fulfilling it and ``rating_model.device`` by adding the new rates. :return: A set of rates with the ``rate`` value computed, where the first rate is the ``rating_model``. """ assert rating_model.device events = set() for soft, value in RATE_TYPES[rating_model.__class__].items(): for vers, func in value.items(): if not rating_model.rating: # Fill the rating before creating another rate rating = rating_model else: # original rating was filled already; use a new one rating = WorkbenchRate( labelling=rating_model.labelling, appearance_range=rating_model.appearance_range, functionality_range=rating_model.functionality_range, device=rating_model.device, ) rating.software = soft rating.version = vers rate(rating_model.device, rating) events.add(rating) if soft == software and vers == version: aggregation = AggregateRate.from_workbench_rate(rating) events.add(aggregation) with suppress(ValueError): # We will have exception if range == VERY_LOW events.add(EreusePrice(aggregation)) return events