def apply_model(self, plot: Plot, years: int, value: float):
Tools.print_log_line('Aplicando corta por el menor', logging.INFO)
accumulator = 0
cut_all_the_rest = False
new_plot = Plot()
new_plot.clone(plot)
order_criteria = OrderCriteria(ASC)
order_criteria.add_criteria('dbh')
search_criteria = SearchCriteria()
search_criteria.add_criteria('status', None, EQUAL)
trees = Tree.get_sord_and_order_tree_list(plot.trees,
search_criteria=search_criteria,
order_criteria=order_criteria)
cut_discriminator = self.type.cut_discriminator(trees, value)
for tree in trees:
accumulator += self.type.accumulator(tree)
if not cut_all_the_rest:
new_tree = Tree()
new_tree.clone(tree)
if accumulator >= cut_discriminator:
cut_all_the_rest = True
new_expan = self.type.compute_expan(tree, accumulator, cut_discriminator)
if new_expan <= 0:
new_tree.add_value('expan', new_expan)
new_tree.add_value('status', 'C')
else:
cut_tree = Tree()
cut_tree.clone(tree)
cut_tree.add_value('status', 'C')
cut_tree.add_value('expan', new_expan)
if cut_tree.expan > 0:
new_plot.add_tree(cut_tree)
new_tree.sub_value('expan', new_expan)
new_tree.add_value('status', None)
new_plot.add_tree(new_tree)
else:
new_tree = Tree()
new_tree.clone(tree)
new_tree.add_value('status', 'C')
new_plot.add_tree(new_tree)
return new_plot
def apply_model(self, plot: Plot, years: int, value: float):
Tools.print_log_line('Aplicando cut down sistemática', logging.INFO)
new_plot = Plot()
new_plot.clone(plot)
order_criteria = OrderCriteria()
order_criteria.add_criteria('dbh')
search_criteria = SearchCriteria()
search_criteria.add_criteria('status', None, EQUAL)
trees = Tree.get_sord_and_order_tree_list(plot.trees,
search_criteria=search_criteria,
order_criteria=order_criteria)
for tree in trees:
new_tree = Tree()
new_tree.clone(tree)
new_tree.add_value('expan', tree.expan * ((100 - value) / 100))
new_tree.add_value('status', None)
new_plot.add_tree(new_tree)
cut_tree = Tree()
cut_tree.clone(tree)
cut_tree.add_value('status', 'C')
cut_tree.add_value('expan', tree.expan - new_tree.expan)
if cut_tree.expan > 0:
new_plot.add_tree(cut_tree)
return new_plot