122 lines
6.9 KiB
Python
122 lines
6.9 KiB
Python
from odoo import models, api
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from odoo.tools.float_utils import float_round
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class MrpProductionSchedule(models.Model):
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_inherit = 'mrp.production.schedule'
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@api.model_create_multi
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def create(self, vals_list):
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for vals in vals_list:
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if 'product_id' in vals and not vals.get('bom_id'):
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product = self.env['product.product'].browse(vals['product_id'])
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company_id = vals.get('company_id', self.env.company.id)
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bom_dict = self.env['mrp.bom']._bom_find(product, company_id=company_id)
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if bom_dict and bom_dict.get(product):
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vals['bom_id'] = bom_dict[product].id
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return super().create(vals_list)
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def set_replenish_qty(self, date_index, quantity, period_scale=False):
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""" Save the replenish quantity and mark the cells as manually updated.
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We override this to provide two-way (Trace up and Drill down) updating
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of linked components in the BOM hierarchy.
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"""
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self.ensure_one()
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# Calculate the difference between new quantity and old quantity
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date_start, date_stop = self.company_id._get_date_range(force_period=period_scale)[date_index]
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existing_forecast = self.forecast_ids.filtered(lambda f:
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f.date >= date_start and f.date <= date_stop)
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old_qty = sum(existing_forecast.mapped('replenish_qty')) if existing_forecast else 0.0
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# Call super first to update this component
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res = super().set_replenish_qty(date_index, quantity, period_scale)
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quantity = float_round(float(quantity), precision_rounding=self.product_uom_id.rounding)
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diff_qty = quantity - old_qty
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# Determine propagation direction
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direction = self.env.context.get('propagate_direction', 'both')
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# If the quantity changed and we're not skipping propagation
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if diff_qty != 0 and direction != 'none':
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self._propagate_replenish_qty(diff_qty, date_index, period_scale, direction)
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return res
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def _propagate_replenish_qty(self, diff_qty, date_index, period_scale=False, direction='both'):
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"""Propagate replenishment difference to parents (bottom-up) and children (top-down)"""
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if direction in ('both', 'up'):
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parent_schedules = self._get_impacted_parent_schedules()
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schedules_to_compute = parent_schedules | self
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indirect_demand_trees = schedules_to_compute._get_indirect_demand_tree()
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indirect_ratio_mps = schedules_to_compute._get_indirect_demand_ratio_mps(indirect_demand_trees)
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# TRACE UP: Update parents
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for parent_schedule in parent_schedules:
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# Odoo's indirect_ratio_mps gets non-zero values for direct MPS-connected components
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ratios = indirect_ratio_mps.get((parent_schedule.warehouse_id, parent_schedule.product_id), {})
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ratio = ratios.get(self.product_id, 0.0)
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if ratio > 0:
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parent_diff = round(diff_qty / ratio, 8)
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p_date_start, p_date_stop = parent_schedule.company_id._get_date_range(force_period=period_scale)[date_index]
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p_exist = parent_schedule.forecast_ids.filtered(lambda f: f.date >= p_date_start and f.date <= p_date_stop)
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p_old_qty_base = sum(p_exist.mapped('replenish_qty')) if p_exist else 0.0
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if hasattr(parent_schedule, 'packaging_id') and parent_schedule.packaging_id and parent_schedule.packaging_id.qty:
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p_old_qty_pack = round(p_old_qty_base / parent_schedule.packaging_id.qty, 8)
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parent_diff = round(parent_diff / parent_schedule.packaging_id.qty, 8)
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else:
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p_old_qty_pack = p_old_qty_base
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new_parent_qty = p_old_qty_pack + parent_diff
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if new_parent_qty < 0:
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new_parent_qty = 0.0
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# Round to the UoM rounding of the product before saving
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new_parent_qty = float_round(new_parent_qty, precision_rounding=parent_schedule.product_uom_id.rounding)
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# Update parent with 'up' context. This propagates it all the way to the top recursively!
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parent_schedule.with_context(propagate_direction='up').set_replenish_qty(date_index, new_parent_qty, period_scale)
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if direction in ('both', 'down'):
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child_schedules = self._get_impacted_child_schedules()
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schedules_to_compute = child_schedules | self
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indirect_demand_trees = schedules_to_compute._get_indirect_demand_tree()
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indirect_ratio_mps = schedules_to_compute._get_indirect_demand_ratio_mps(indirect_demand_trees)
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# DRILL DOWN: Update children
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for child_schedule in child_schedules:
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ratios = indirect_ratio_mps.get((self.warehouse_id, self.product_id), {})
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ratio = ratios.get(child_schedule.product_id, 0.0)
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if ratio > 0:
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child_diff = round(diff_qty * ratio, 8)
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if hasattr(child_schedule, 'packaging_id') and child_schedule.packaging_id and child_schedule.packaging_id.qty:
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packaging_qty = child_schedule.packaging_id.qty
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child_diff = round(child_diff / packaging_qty, 8)
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c_date_start, c_date_stop = child_schedule.company_id._get_date_range(force_period=period_scale)[date_index]
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c_exist = child_schedule.forecast_ids.filtered(lambda f: f.date >= c_date_start and f.date <= c_date_stop)
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c_old_qty_base = sum(c_exist.mapped('replenish_qty')) if c_exist else 0.0
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if hasattr(child_schedule, 'packaging_id') and child_schedule.packaging_id and child_schedule.packaging_id.qty:
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c_old_qty_pack = round(c_old_qty_base / child_schedule.packaging_id.qty, 8)
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else:
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c_old_qty_pack = c_old_qty_base
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new_child_qty_pack = c_old_qty_pack + child_diff
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if new_child_qty_pack < 0:
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new_child_qty_pack = 0.0
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# Round to the UoM rounding of the product before saving
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new_child_qty_pack = float_round(new_child_qty_pack, precision_rounding=child_schedule.product_uom_id.rounding)
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# Update child with 'down' context. This propagates it all the way to the bottom!
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child_schedule.with_context(propagate_direction='down').set_replenish_qty(date_index, new_child_qty_pack, period_scale)
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