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85 lines
4.4 KiB
Python
85 lines
4.4 KiB
Python
from collections import defaultdict
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from odoo import api, fields, models
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class SaleOrder(models.Model):
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_inherit = 'sale.order'
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date_planned = fields.Datetime('Planned Date')
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requested_date = fields.Datetime('Requested Date')
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class SaleOrderLine(models.Model):
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_inherit = 'sale.order.line'
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# In 13, this field exists, but isn't stored and is computed during
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# computation for available inventory (set to order's warehouse)
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warehouse_id = fields.Many2one('stock.warehouse', string='Warehouse',
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compute=None, store=True)
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date_planned = fields.Datetime('Planned Date')
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def _prepare_procurement_values(self, group_id=False):
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vals = super(SaleOrderLine, self)._prepare_procurement_values(group_id=group_id)
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if self.warehouse_id:
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vals.update({'warehouse_id': self.warehouse_id})
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if self.date_planned:
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vals.update({'date_planned': self.date_planned})
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elif self.order_id.date_planned:
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vals.update({'date_planned': self.order_id.date_planned})
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return vals
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# Needs modifications to not actually set a warehouse on the line as it is now stored
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@api.depends('product_id', 'customer_lead', 'product_uom_qty', 'product_uom', 'order_id.warehouse_id', 'order_id.commitment_date')
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def _compute_qty_at_date(self):
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""" Compute the quantity forecasted of product at delivery date. There are
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two cases:
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1. The quotation has a commitment_date, we take it as delivery date
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2. The quotation hasn't commitment_date, we compute the estimated delivery
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date based on lead time"""
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qty_processed_per_product = defaultdict(lambda: 0)
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grouped_lines = defaultdict(lambda: self.env['sale.order.line'])
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# We first loop over the SO lines to group them by warehouse and schedule
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# date in order to batch the read of the quantities computed field.
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for line in self:
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if not (line.product_id and line.display_qty_widget):
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continue
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# use warehouse from line or order
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warehouse = line.warehouse_id or line.order_id.warehouse_id
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# line.warehouse_id = line.order_id.warehouse_id
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if line.order_id.commitment_date:
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date = line.order_id.commitment_date
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else:
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date = line._expected_date()
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grouped_lines[(warehouse, date)] |= line
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treated = self.browse()
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for (warehouse, scheduled_date), lines in grouped_lines.items():
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product_qties = lines.mapped('product_id').with_context(to_date=scheduled_date, warehouse=warehouse).read([
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'qty_available',
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'free_qty',
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'virtual_available',
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])
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qties_per_product = {
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product['id']: (product['qty_available'], product['free_qty'], product['virtual_available'])
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for product in product_qties
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}
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for line in lines:
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line.scheduled_date = scheduled_date
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qty_available_today, free_qty_today, virtual_available_at_date = qties_per_product[line.product_id.id]
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line.qty_available_today = qty_available_today - qty_processed_per_product[line.product_id.id]
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line.free_qty_today = free_qty_today - qty_processed_per_product[line.product_id.id]
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line.virtual_available_at_date = virtual_available_at_date - qty_processed_per_product[line.product_id.id]
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if line.product_uom and line.product_id.uom_id and line.product_uom != line.product_id.uom_id:
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line.qty_available_today = line.product_id.uom_id._compute_quantity(line.qty_available_today, line.product_uom)
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line.free_qty_today = line.product_id.uom_id._compute_quantity(line.free_qty_today, line.product_uom)
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line.virtual_available_at_date = line.product_id.uom_id._compute_quantity(line.virtual_available_at_date, line.product_uom)
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qty_processed_per_product[line.product_id.id] += line.product_uom_qty
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treated |= lines
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remaining = (self - treated)
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remaining.virtual_available_at_date = False
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remaining.scheduled_date = False
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remaining.free_qty_today = False
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remaining.qty_available_today = False
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# don't unset warehouse as it may be set by hand
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# remaining.warehouse_id = False
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