gamification/models/gamification_karma_rank.py
2024-11-01 14:01:27 +03:00

59 lines
2.6 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 on your profile page")
karma_min = fields.Integer(
string='Required Karma', required=True, default=1)
user_ids = fields.One2many('res.users', 'rank_id', string='Users')
rank_users_count = fields.Integer("# Users", compute="_compute_rank_users_count")
_sql_constraints = [
('karma_min_check', "CHECK( karma_min > 0 )", 'The required karma has to be above 0.')
]
@api.depends('user_ids')
def _compute_rank_users_count(self):
requests_data = self.env['res.users']._read_group([('rank_id', '!=', False)], ['rank_id'], ['__count'])
requests_mapped_data = {rank.id: count for rank, count in requests_data}
for rank in self:
rank.rank_users_count = requests_mapped_data.get(rank.id, 0)
@api.model_create_multi
def create(self, values_list):
res = super(KarmaRank, self).create(values_list)
if any(res.mapped('karma_min')) > 0:
users = self.env['res.users'].sudo().search([('karma', '>=', max(min(res.mapped('karma_min')), 1))])
if users:
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'], min(self.mapped('karma_min')))
high = max(vals['karma_min'], max(self.mapped('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', '>=', max(low, 1))])
else:
users = self.env['res.users'].sudo().search([('karma', '>=', max(low, 1)), ('karma', '<=', high)])
users._recompute_rank()
return res