std-odoo
df9e9ec261
*: account, crm, hr_recruitement, im_livechat, point_of_sale, project, sale_management, website_sale Purpose ======= Now, the KPI are computed based on their `company_id` and not based on the current company. If no company is set on the digest, we compute it based on the current company. The KPIs are computed based on their company. Most of the time, they will all belong to the same company so we can improve the performance by computing them in batch. Task-2827996 See odoo/enterprise/pull/27658 Part-of: odoo/odoo#91945
79 lines
2.8 KiB
Python
79 lines
2.8 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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import itertools
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import random
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from datetime import datetime
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from dateutil.relativedelta import relativedelta
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from odoo import fields
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from odoo.addons.mail.tests import common as mail_test
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class TestDigestCommon(mail_test.MailCommon):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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cls.company_1 = cls.env.company
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cls.company_2 = cls.env['res.company'].create({'name': 'Digest Company 2'})
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context = {
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'start_datetime': datetime.now() - relativedelta(days=1),
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'end_datetime': datetime.now() + relativedelta(days=1),
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}
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cls.all_digests = cls.env['digest.digest'].with_context(context).create([{
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'name': 'Digest 1',
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'company_id': cls.env.company.id,
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'kpi_mail_message_total': True,
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'kpi_res_users_connected': True,
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'periodicity': 'daily',
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}, {
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'name': 'Digest 2',
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'company_id': cls.company_2.id,
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}, {
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'name': 'Digest 3',
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'company_id': False,
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}])
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cls.digest_1, cls.digest_2, cls.digest_3 = cls.all_digests
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@classmethod
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def _setup_messages(cls):
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""" Remove all existing messages, then create a bunch of them on random
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partners with the correct types in correct time-bucket:
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- 3 in the previous 24h
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- 5 more in the 6 days before that for a total of 8 in the previous week
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- 7 more in the 20 days before *that* (because digest doc lies and is
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based around weeks and months not days), for a total of 15 in the
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previous month
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"""
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# regular employee can't necessarily access "private" addresses
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partners = cls.env['res.partner'].search([('type', '!=', 'private')])
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messages = cls.env['mail.message']
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counter = itertools.count()
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now = fields.Datetime.now()
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for count, (low, high) in [
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(3, (0 * 24, 1 * 24)),
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(5, (1 * 24, 7 * 24)),
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(7, (7 * 24, 27 * 24)),
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]:
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for __ in range(count):
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create_date = now - relativedelta(hours=random.randint(low + 1, high - 1))
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messages += random.choice(partners).message_post(
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author_id=cls.partner_admin.id,
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body=f"Awesome Partner! ({next(counter)})",
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email_from=cls.partner_admin.email_formatted,
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message_type='comment',
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subtype_xmlid='mail.mt_comment',
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# adjust top and bottom by 1h to avoid overlapping with the
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# range limit and dropping out of the digest's selection thing
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create_date=create_date,
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)
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cls.env.flush_all()
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