gawa-odoo
b8dca3b174
The `analytic_distribution` field is a Json. It was stored temporarily as a char. Search is not available yet, so we do queries by hand when we need to search on keys. Also added a constraint on account_analytic_distribution_model, so we don't have models with accounts specific to a company when the model has no company or another company. It would cause an issue when looking at the models from another company. X-original-commit: 7064c95aa04e5138bb12ae97acfee04ebb67cc0e Part-of: odoo/odoo#103097
52 lines
2.2 KiB
Python
52 lines
2.2 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
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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',
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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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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_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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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 _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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