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[FIX] mass_mailing_partner: compute fields performance (#271)

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- In DB which use large amounts of records and intesive use of
mass_mailings, not optimized compute records lead to a drastical
decrease of performance
This commit is contained in:
David Vidal 2018-05-14 16:18:11 +02:00 committed by emagdalenaC2i
parent eaa4cad627
commit a11a597edd
2 changed files with 19 additions and 8 deletions
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5
mass_mailing_partner/__manifest__.py
View File

@ -1,13 +1,12 @@
# -*- coding: utf-8 -*-
# Copyright 2015 Pedro M. Baeza <pedro.baeza@tecnativa.com>
# Copyright 2015 Antonio Espinosa <antonio.espinosa@tecnativa.com>
# Copyright 2015-2016 Antonio Espinosa <antonio.espinosa@tecnativa.com>
# Copyright 2015 Javier Iniesta <javieria@antiun.com>
# Copyright 2016 Antonio Espinosa - <antonio.espinosa@tecnativa.com>
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html).
{
"name": "Link partners with mass-mailing",
"version": "10.0.1.0.2",
"version": "10.0.1.0.3",
"author": "Tecnativa, "
"Odoo Community Association (OCA)",
"website": "https://www.tecnativa.com",

22
mass_mailing_partner/models/res_partner.py
View File

@ -36,17 +36,29 @@ class ResPartner(models.Model):
_("This partner '%s' is subscribed to one or more "
"mailing lists. Email must be assigned.") % partner.name)
@api.multi
@api.depends('mass_mailing_contact_ids',
'mass_mailing_contact_ids.opt_out')
def _compute_mass_mailing_contacts_count(self):
for reg in self:
reg.mass_mailing_contacts_count = len(
reg.mass_mailing_contact_ids)
contact_data = self.env['mail.mass_mailing.contact'].read_group(
[('partner_id', 'in', self.ids)], ['partner_id'], ['partner_id'])
mapped_data = dict(
[(contact['partner_id'][0], contact['partner_id_count'])
for contact in contact_data])
for partner in self:
partner.mass_mailing_contacts_count = mapped_data.get(partner.id,
0)
@api.multi
@api.depends('mass_mailing_stats')
def _compute_mass_mailing_stats_count(self):
for reg in self:
reg.mass_mailing_stats_count = len(reg.mass_mailing_stats)
contact_data = self.env['mail.mail.statistics'].read_group(
[('partner_id', 'in', self.ids)], ['partner_id'], ['partner_id'])
mapped_data = dict(
[(contact['partner_id'][0], contact['partner_id_count'])
for contact in contact_data])
for partner in self:
partner.mass_mailing_stats_count = mapped_data.get(partner.id, 0)
def write(self, vals):
res = super(ResPartner, self).write(vals)