gawa-odoo
cca15af64a
We created an index in the mixin, but the `init` was never called as there was a missing `super` in `account_move_line`. We also remove the index in `sales_project`, as it now is done in the mixin (and we don't want different names for it). closes odoo/odoo#115948 X-original-commit: 98a556031180cf72680b4f082a5c5d7b491742b7 Signed-off-by: William André (wan) <wan@odoo.com>
72 lines
3.5 KiB
Python
72 lines
3.5 KiB
Python
# -*- coding: utf-8 -*-
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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from odoo import models, fields, api, _
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from odoo.tools.float_utils import float_round, float_compare
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from odoo.exceptions import ValidationError
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class AnalyticMixin(models.AbstractModel):
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_name = 'analytic.mixin'
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_description = 'Analytic Mixin'
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analytic_distribution = fields.Json(
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'Analytic Distribution',
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compute="_compute_analytic_distribution", store=True, copy=True, readonly=False,
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precompute=True
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)
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analytic_precision = fields.Integer(
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store=False,
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default=lambda self: self.env['decimal.precision'].precision_get("Percentage Analytic"),
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)
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def init(self):
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# Add a gin index for json search on the keys, on the models that actually have a table
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query = ''' SELECT table_name
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FROM information_schema.tables
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WHERE table_name=%s '''
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self.env.cr.execute(query, [self._table])
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if self.env.cr.dictfetchone():
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query = f"""
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CREATE INDEX IF NOT EXISTS {self._table}_analytic_distribution_gin_index
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ON {self._table} USING gin(analytic_distribution);
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"""
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self.env.cr.execute(query)
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super().init()
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def _compute_analytic_distribution(self):
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pass
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def write(self, vals):
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""" Format the analytic_distribution float value, so equality on analytic_distribution can be done """
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decimal_precision = self.env['decimal.precision'].precision_get('Percentage Analytic')
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vals = self._sanitize_values(vals, decimal_precision)
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return super().write(vals)
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@api.model_create_multi
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def create(self, vals_list):
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""" Format the analytic_distribution float value, so equality on analytic_distribution can be done """
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decimal_precision = self.env['decimal.precision'].precision_get('Percentage Analytic')
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vals_list = [self._sanitize_values(vals, decimal_precision) for vals in vals_list]
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return super().create(vals_list)
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def _validate_distribution(self, **kwargs):
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if self.env.context.get('validate_analytic', False):
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mandatory_plans_ids = [plan['id'] for plan in self.env['account.analytic.plan'].sudo().get_relevant_plans(**kwargs) if plan['applicability'] == 'mandatory']
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if not mandatory_plans_ids:
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return
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decimal_precision = self.env['decimal.precision'].precision_get('Percentage Analytic')
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distribution_by_root_plan = {}
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for analytic_account_id, percentage in (self.analytic_distribution or {}).items():
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root_plan = self.env['account.analytic.account'].browse(int(analytic_account_id)).root_plan_id
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distribution_by_root_plan[root_plan.id] = distribution_by_root_plan.get(root_plan.id, 0) + percentage
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for plan_id in mandatory_plans_ids:
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if float_compare(distribution_by_root_plan.get(plan_id, 0), 100, precision_digits=decimal_precision) != 0:
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raise ValidationError(_("One or more lines require a 100% analytic distribution."))
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def _sanitize_values(self, vals, decimal_precision):
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""" Normalize the float of the distribution """
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if 'analytic_distribution' in vals:
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vals['analytic_distribution'] = vals.get('analytic_distribution') and {
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account_id: float_round(distribution, decimal_precision) for account_id, distribution in vals['analytic_distribution'].items()}
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return vals
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