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odoo_source/addons/gamification/models/gamification_karma_rank.py
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Aurélien Warnon 3773a0c552 [IMP] gamification: add sql constraint to force rank's min_karma > 0
This commit adds a SQL constraint to force the min_karma of the gamification.karma.rank model to be
above 0.

A karma_min set to 0 (or lower) could create some frontend issues when displaying required karma.

PR #39870
Task#2032649
2019-11-06 13:01:13 +00:00

48 lines
2.0 KiB
Python

# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import api, fields, models
from odoo.tools.translate import html_translate
class KarmaRank(models.Model):
_name = 'gamification.karma.rank'
_description = 'Rank based on karma'
_inherit = 'image.mixin'
_order = 'karma_min'
name = fields.Text(string='Rank Name', translate=True, required=True)
description = fields.Html(string='Description', translate=html_translate, sanitize_attributes=False,)
description_motivational = fields.Html(
string='Motivational', translate=html_translate, sanitize_attributes=False,
help="Motivational phrase to reach this rank")
karma_min = fields.Integer(string='Required Karma', required=True, default=1,
help='Minimum karma needed to reach this rank')
user_ids = fields.One2many('res.users', 'rank_id', string='Users', help="Users having this rank")
_sql_constraints = [
('karma_min_check', "CHECK( karma_min > 0 )", 'The required karma has to be above 0.')
]
@api.model_create_multi
def create(self, values_list):
res = super(KarmaRank, self).create(values_list)
users = self.env['res.users'].sudo().search([('karma', '>', 0)])
users._recompute_rank()
return res
def write(self, vals):
if 'karma_min' in vals:
previous_ranks = self.env['gamification.karma.rank'].search([], order="karma_min DESC").ids
low = min(vals['karma_min'], self.karma_min)
high = max(vals['karma_min'], self.karma_min)
res = super(KarmaRank, self).write(vals)
if 'karma_min' in vals:
after_ranks = self.env['gamification.karma.rank'].search([], order="karma_min DESC").ids
if previous_ranks != after_ranks:
users = self.env['res.users'].sudo().search([('karma', '>', 0)])
else:
users = self.env['res.users'].sudo().search([('karma', '>=', low), ('karma', '<=', high)])
users._recompute_rank()
return res