# -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. from odoo import api, fields, models, _ from odoo.exceptions import UserError class AccountAnalyticDistributionModel(models.Model): _name = 'account.analytic.distribution.model' _inherit = 'analytic.mixin' _description = 'Analytic Distribution Model' _rec_name = 'create_date' _order = 'id desc' partner_id = fields.Many2one( 'res.partner', string='Partner', ondelete='cascade', help="Select a partner for which the analytic distribution will be used (e.g. create new customer invoice or Sales order if we select this partner, it will automatically take this as an analytic account)", ) partner_category_id = fields.Many2one( 'res.partner.category', string='Partner Category', ondelete='cascade', help="Select a partner category for which the analytic distribution will be used (e.g. create new customer invoice or Sales order if we select this partner, it will automatically take this as an analytic account)", ) company_id = fields.Many2one( 'res.company', string='Company', default=lambda self: self.env.company, ondelete='cascade', help="Select a company for which the analytic distribution will be used (e.g. create new customer invoice or Sales order if we select this company, it will automatically take this as an analytic account)", ) @api.constrains('company_id') def _check_company_accounts(self): query = """ SELECT model.id FROM account_analytic_distribution_model model JOIN account_analytic_account account ON model.analytic_distribution ? CAST(account.id AS VARCHAR) WHERE account.company_id IS NOT NULL AND (model.company_id IS NULL OR model.company_id != account.company_id) GROUP BY model.id """ self.env.cr.execute(query) if self.env.cr.dictfetchone(): raise UserError(_('You defined a distribution with analytic account(s) belonging to a specific company but a model shared between companies or with a different company')) @api.model def _get_distribution(self, vals): """ Returns the distribution model that has the most fields that corresponds to the vals given This method should be called to prefill analytic distribution field on several models """ domain = [] for fname, value in vals.items(): domain += self._create_domain(fname, value) or [] best_score = 0 res = {} for rec in self.search(domain): score = 0 for key, value in vals.items(): if value and rec[key]: if rec._check_score(key, value) == 1: score += 1 else: score = -1 break if score > best_score: res = rec.analytic_distribution best_score = score return res def _check_score(self, key, value): self.ensure_one() if key == 'partner_category_id': if self[key].id in value: return 1 if value == self[key].id: return 1 else: return -1 def _create_domain(self, fname, value): if not value: return False if fname == 'partner_category_id': value += [False] return [(fname, 'in', value)] else: return [(fname, 'in', [value, False])]