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-rw-r--r--addons/gamification/models/res_users.py84
1 files changed, 80 insertions, 4 deletions
diff --git a/addons/gamification/models/res_users.py b/addons/gamification/models/res_users.py
index a0ca65ced45..4f9319a4001 100644
--- a/addons/gamification/models/res_users.py
+++ b/addons/gamification/models/res_users.py
@@ -7,9 +7,11 @@ import logging
_logger = logging.getLogger(__name__)
+
class Users(models.Model):
_inherit = 'res.users'
+
karma = fields.Integer('Karma', default=0)
karma_position = fields.Integer('Karma position', compute="_compute_karma_position", store=False)
badge_ids = fields.One2many('gamification.badge.user', 'user_id', string='Badges', copy=False)
@@ -69,18 +71,32 @@ class Users(models.Model):
return True
def _rank_changed(self):
- if self.rank_id.karma_min > 0:
- template = self.env.ref('gamification.mail_template_data_new_rank_reached', raise_if_not_found=False)
- if template:
- template.send_mail(self.id, force_send=True, notif_layout='mail.mail_notification_light')
+ """
+ Method that can be called on a batch of users with the same new rank
+ """
+ template = self.env.ref('gamification.mail_template_data_new_rank_reached', raise_if_not_found=False)
+ if template:
+ for u in self:
+ if u.rank_id.karma_min > 0:
+ template.send_mail(u.id, force_send=len(self) == 1, notif_layout='mail.mail_notification_light')
def _recompute_rank(self):
"""
The caller should filter the users on karma > 0 before calling this method
to avoid looping on every single users
+
+ Compute rank of each user by user.
+ For each user, check the rank of this user
"""
+
ranks = [{'rank': rank, 'karma_min': rank.karma_min} for rank in
self.env['gamification.karma.rank'].search([], order="karma_min DESC")]
+
+ # 3 is the number of search/requests used by rank in _recompute_rank_bulk()
+ if len(self) > len(ranks) * 3:
+ self._recompute_rank_bulk()
+ return
+
for user in self:
old_rank = user.rank_id
if user.karma == 0 and ranks:
@@ -96,6 +112,66 @@ class Users(models.Model):
if old_rank != user.rank_id:
user._rank_changed()
+ def _recompute_rank_bulk(self):
+ """
+ Compute rank of each user by rank.
+ For each rank, check which users need to be ranked
+
+ """
+ ranks = [{'rank': rank, 'karma_min': rank.karma_min} for rank in
+ self.env['gamification.karma.rank'].search([], order="karma_min DESC")]
+
+ users_todo = self
+
+ next_rank_id = False
+ # wtf, next_rank_id should be a related on rank_id.next_rank_id and life might get easier.
+ # And we only need to recompute next_rank_id on write with min_karma or in the create on rank model.
+ for r in ranks:
+ rank_id = r['rank'].id
+ dom = [
+ ('karma', '>=', r['karma_min']),
+ ('id', 'in', users_todo.ids),
+ '|', # noqa
+ '|', ('rank_id', '!=', rank_id), ('rank_id', '=', False),
+ '|', ('next_rank_id', '!=', next_rank_id), ('next_rank_id', '=', False if next_rank_id else -1),
+ ]
+ users = self.env['res.users'].search(dom)
+ if users:
+ users_to_notify = self.env['res.users'].search([
+ ('karma', '>=', r['karma_min']),
+ '|', ('rank_id', '!=', rank_id), ('rank_id', '=', False),
+ ('id', 'in', users.ids),
+ ])
+ users.write({
+ 'rank_id': rank_id,
+ 'next_rank_id': next_rank_id,
+ })
+ users_to_notify._rank_changed()
+ users_todo -= users
+
+ nothing_to_do_users = self.env['res.users'].search([
+ ('karma', '>=', r['karma_min']),
+ '|', ('rank_id', '=', rank_id), ('next_rank_id', '=', next_rank_id),
+ ('id', 'in', users_todo.ids),
+ ])
+ users_todo -= nothing_to_do_users
+ next_rank_id = r['rank'].id
+
+ if ranks:
+ lower_rank = ranks[-1]['rank']
+ users = self.env['res.users'].search([
+ ('karma', '>=', 0),
+ ('karma', '<', lower_rank.karma_min),
+ '|', ('rank_id', '!=', False), ('next_rank_id', '!=', lower_rank.id),
+ ('id', 'in', users_todo.ids),
+ ])
+ if users:
+ users.write({
+ 'rank_id': False,
+ 'next_rank_id': lower_rank.id,
+ })
+
+
def _get_next_rank(self):
""" For fresh users with 0 karma that don't have a rank_id and next_rank_id yet
this method returns the first karma rank (by karma ascending). This acts as a