Source code for greenlang.calculations.sfdr.pai_controversial_weapons_exposure

""" controversial_weapons_exposure """
import logging

from fingreen_web.models import CollectionItem

logger = logging.getLogger(__name__)


[docs] class ControversialWeaponsExposure(): #pylint: disable=[invalid-name, too-few-public-methods] """ controversial_weapons_exposure """
[docs] def impact(self, collections, assets, invest_value_tot, period): # pylint: disable=[unused-argument] """ Compute carbon_footprint Formula ??? Args: - assets Returns: - share_t """ share_t = 0 for asset in assets: #collection = Collection.objects.get(company=asset.company) collection = collections.filter(company=asset.company, collection_type='metrics')[0] collection_item_controversial_weapons_exposure_bool = CollectionItem.objects.get( collection=collection, template__name='controversial_weapons_exposure_bool') value = collection_item_controversial_weapons_exposure_bool.value_boolean if value: valuation = CollectionItem.objects.get(collection__company=asset.company, item_type='corp_valuation', collection__period_year=period['period_year']).value_pint #share_i =(asset.shares_pct / 100) * asset.company.valuation_eur / invest_value_tot share_i = (asset.shares_pct / 100) * valuation / invest_value_tot share_t = share_t + share_i share_t = round(share_t * 100, 2) return f'{share_t:g}'