mirror of
https://github.com/OCA/stock-logistics-warehouse.git
synced 2025-01-21 14:27:28 +02:00
91 lines
3.4 KiB
Python
91 lines
3.4 KiB
Python
# Copyright 2023 Tecnativa - Ernesto Tejeda
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# License AGPL-3.0 or later (https://www.gnu.org/licenses/agpl.html).
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from odoo import _, api, fields, models
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from odoo.exceptions import UserError
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class StockQuant(models.Model):
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_inherit = "stock.quant"
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discrepancy_percent = fields.Float(
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string="Discrepancy percent (%)",
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compute="_compute_discrepancy",
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digits=(3, 2),
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help="The discrepancy expressed in percent with theoretical quantity "
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"as basis",
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group_operator="avg",
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store=True,
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compute_sudo=True,
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)
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discrepancy_threshold = fields.Float(
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string="Threshold (%)",
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digits=(3, 2),
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help="Maximum Discrepancy Rate Threshold",
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compute="_compute_discrepancy_threshold",
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)
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has_over_discrepancy = fields.Boolean(
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compute="_compute_has_over_discrepancy", search="_search_has_over_discrepancy"
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)
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def _search_has_over_discrepancy(self, operator, value):
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if operator not in ["=", "!="]:
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raise UserError(_("This operator is not supported"))
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if value == "True":
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value = True
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elif value == "False":
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value = False
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if not isinstance(value, bool):
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raise UserError(_("Value should be True or False (not %s)") % value)
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ids = []
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for quant in self.search([]):
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has_over_discrepancy = (
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quant.discrepancy_percent > quant.location_id.discrepancy_threshold
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)
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if (operator == "=" and has_over_discrepancy == value) or (
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operator == "!=" and has_over_discrepancy != value
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):
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ids.append(quant.id)
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return [("id", "in", ids)]
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@api.depends("quantity", "inventory_quantity")
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def _compute_discrepancy(self):
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for quant in self:
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if not quant.quantity or not quant.inventory_quantity_set:
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quant.discrepancy_percent = 0
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else:
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quant.discrepancy_percent = abs(
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100 * (quant.inventory_diff_quantity) / quant.quantity
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)
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def _compute_discrepancy_threshold(self):
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for quant in self:
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whs = quant.location_id.warehouse_id
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if quant.location_id.discrepancy_threshold > 0.0:
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quant.discrepancy_threshold = quant.location_id.discrepancy_threshold
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elif whs.discrepancy_threshold > 0.0:
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quant.discrepancy_threshold = whs.discrepancy_threshold
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else:
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quant.discrepancy_threshold = False
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def _compute_has_over_discrepancy(self):
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for rec in self:
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rec.has_over_discrepancy = (
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rec.discrepancy_percent > rec.discrepancy_threshold
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)
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def action_apply_inventory(self):
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if self.env.context.get("skip_exceeded_discrepancy", False):
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return super().action_apply_inventory()
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over_discrepancy = self.filtered(lambda r: r.has_over_discrepancy)
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if over_discrepancy:
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action = self.env["ir.actions.act_window"]._for_xml_id(
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"stock_inventory_discrepancy.confirm_discrepancy_action"
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)
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action["context"] = dict(
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self._context.copy(),
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discrepancy_quant_ids=over_discrepancy.ids,
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active_ids=self.ids,
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)
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return action
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return super().action_apply_inventory()
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