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manual_ops = self.filtered(lambda operation: operation.time_mode == 'manual')
for operation in manual_ops:
operation.time_cycle = operation.time_cycle_manual
for operation in self - manual_ops:
data = self.env['mrp.workorder'].search([
('operation_id', 'in', operation.ids),
('qty_produced', '>', 0),
('state', '=', 'done')],
limit=operation.time_mode_batch,
order="date_finished desc, id desc")
# To compute the time_cycle, we can take the total duration of previous operations
# but for the quantity, we will take in consideration the qty_produced like if the capacity was 1.
# So producing 50 in 00:10 with capacity 2, for the time_cycle, we assume it is 25 in 00:10
# When recomputing the expected duration, the capacity is used again to divide the qty to produce
# so that if we need 50 with capacity 2, it will compute the expected of 25 which is 00:10
total_duration = 0 # Can be 0 since it's not an invalid duration for BoM
cycle_number = 0 # Never 0 unless infinite item['workcenter_id'].capacity
for item in data:
total_duration += item['duration']
capacity = item['workcenter_id']._get_capacity(item.product_id)
qty_produced = item.product_uom_id._compute_quantity(item['qty_produced'], item.product_id.uom_id)
cycle_number += float_round((qty_produced / capacity or 1.0), precision_digits=0, rounding_method='UP')
if cycle_number:
operation.time_cycle = total_duration / cycle_number
else:
operation.time_cycle = operation.time_cycle_manual
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