flectra/addons/rating/models/rating.py
2018-01-16 02:34:37 -08:00

324 lines
15 KiB
Python

# -*- coding: utf-8 -*-
# Part of Odoo, Flectra. See LICENSE file for full copyright and licensing details.
import base64
import uuid
from flectra import api, fields, models, tools, _
from flectra.modules.module import get_resource_path
RATING_LIMIT_SATISFIED = 7
RATING_LIMIT_OK = 3
RATING_LIMIT_MIN = 1
class Rating(models.Model):
_name = "rating.rating"
_description = "Rating"
_order = 'write_date desc'
_rec_name = 'res_name'
_sql_constraints = [
('rating_range', 'check(rating >= 0 and rating <= 10)', 'Rating should be between 0 to 10'),
]
@api.one
@api.depends('res_model', 'res_id')
def _compute_res_name(self):
name = self.env[self.res_model].sudo().browse(self.res_id).name_get()
self.res_name = name and name[0][1] or ('%s/%s') % (self.res_model, self.res_id)
@api.model
def new_access_token(self):
return uuid.uuid4().hex
res_name = fields.Char(string='Resource name', compute='_compute_res_name', store=True, help="The name of the rated resource.")
res_model_id = fields.Many2one('ir.model', 'Related Document Model', index=True, ondelete='cascade', help='Model of the followed resource')
res_model = fields.Char(string='Document Model', related='res_model_id.model', store=True, index=True, readonly=True)
res_id = fields.Integer(string='Document', required=True, help="Identifier of the rated object", index=True)
parent_res_name = fields.Char('Parent Document Name', compute='_compute_parent_res_name', store=True)
parent_res_model_id = fields.Many2one('ir.model', 'Parent Related Document Model', index=True)
parent_res_model = fields.Char('Parent Document Model', store=True, related='parent_res_model_id.model', index=True)
parent_res_id = fields.Integer('Parent Document', index=True)
rated_partner_id = fields.Many2one('res.partner', string="Rated person", help="Owner of the rated resource")
partner_id = fields.Many2one('res.partner', string='Customer', help="Author of the rating")
rating = fields.Float(string="Rating", group_operator="avg", default=0, help="Rating value: 0=Unhappy, 10=Happy")
rating_image = fields.Binary('Image', compute='_compute_rating_image')
rating_text = fields.Selection([
('satisfied', 'Satisfied'),
('not_satisfied', 'Not satisfied'),
('highly_dissatisfied', 'Highly dissatisfied'),
('no_rating', 'No Rating yet')], string='Rating', store=True, compute='_compute_rating_text', readonly=True)
feedback = fields.Text('Comment', help="Reason of the rating")
message_id = fields.Many2one('mail.message', string="Linked message", help="Associated message when posting a review. Mainly used in website addons.", index=True)
access_token = fields.Char('Security Token', default=new_access_token, help="Access token to set the rating of the value")
consumed = fields.Boolean(string="Filled Rating", help="Enabled if the rating has been filled.")
@api.depends('parent_res_model', 'parent_res_id')
def _compute_parent_res_name(self):
for rating in self:
name = False
if rating.parent_res_model and rating.parent_res_id:
name = self.env[rating.parent_res_model].sudo().browse(rating.parent_res_id).name_get()
name = name and name[0][1] or ('%s/%s') % (rating.parent_res_model, rating.parent_res_id)
rating.parent_res_name = name
@api.multi
@api.depends('rating')
def _compute_rating_image(self):
for rating in self:
try:
image_path = get_resource_path('rating', 'static/src/img', 'rating_%s.png' % (int(rating.rating),))
rating.rating_image = base64.b64encode(open(image_path, 'rb').read())
except (IOError, OSError):
rating.rating_image = False
@api.depends('rating')
def _compute_rating_text(self):
for rating in self:
if rating.rating >= RATING_LIMIT_SATISFIED:
rating.rating_text = 'satisfied'
elif rating.rating > RATING_LIMIT_OK:
rating.rating_text = 'not_satisfied'
elif rating.rating >= RATING_LIMIT_MIN:
rating.rating_text = 'highly_dissatisfied'
else:
rating.rating_text = 'no_rating'
@api.model
def create(self, values):
if values.get('res_model_id') and values.get('res_id'):
values.update(self._find_parent_data(values))
return super(Rating, self).create(values)
@api.multi
def write(self, values):
if values.get('res_model_id') and values.get('res_id'):
values.update(self._find_parent_data(values))
return super(Rating, self).write(values)
def _find_parent_data(self, values):
""" Determine the parent res_model/res_id, based on the values to create or write """
current_model_name = self.env['ir.model'].sudo().browse(values['res_model_id']).model
current_record = self.env[current_model_name].browse(values['res_id'])
data = {
'parent_res_model_id': False,
'parent_res_id': False,
}
if hasattr(current_record, 'rating_get_parent_model_name'):
parent_res_model = current_record.rating_get_parent_model_name(values)
data['parent_res_model_id'] = self.env['ir.model']._get(parent_res_model).id
data['parent_res_id'] = current_record.rating_get_parent_id()
return data
@api.multi
def reset(self):
for record in self:
record.write({
'rating': 0,
'access_token': record.new_access_token(),
'feedback': False,
'consumed': False,
})
def action_open_rated_object(self):
self.ensure_one()
return {
'type': 'ir.actions.act_window',
'res_model': self.res_model,
'res_id': self.res_id,
'views': [[False, 'form']]
}
class RatingMixin(models.AbstractModel):
_name = 'rating.mixin'
_description = "Rating Mixin"
rating_ids = fields.One2many('rating.rating', 'res_id', string='Rating', domain=lambda self: [('res_model', '=', self._name)], auto_join=True)
rating_last_value = fields.Float('Rating Last Value', compute='_compute_rating_last_value', compute_sudo=True, store=True)
rating_last_feedback = fields.Text('Rating Last Feedback', related='rating_ids.feedback')
rating_last_image = fields.Binary('Rating Last Image', related='rating_ids.rating_image')
rating_count = fields.Integer('Rating count', compute="_compute_rating_count")
@api.multi
@api.depends('rating_ids.rating')
def _compute_rating_last_value(self):
for record in self:
ratings = self.env['rating.rating'].search([('res_model', '=', self._name), ('res_id', '=', record.id)], limit=1)
if ratings:
record.rating_last_value = ratings.rating
@api.multi
def _compute_rating_count(self):
read_group_res = self.env['rating.rating'].read_group(
[('res_model', '=', self._name), ('res_id', 'in', self.ids), ('consumed', '=', True)],
['res_id'], groupby=['res_id'])
result = dict.fromkeys(self.ids, 0)
for data in read_group_res:
result[data['res_id']] += data['res_id_count']
for record in self:
record.rating_count = result.get(record.id)
def write(self, values):
""" If the rated ressource name is modified, we should update the rating res_name too. """
result = super(RatingMixin, self).write(values)
if self._rec_name in values:
self.rating_ids._compute_res_name()
return result
def unlink(self):
""" When removing a record, its rating should be deleted too. """
record_ids = self.ids
result = super(RatingMixin, self).unlink()
self.env['rating.rating'].sudo().search([('res_model', '=', self._name), ('res_id', 'in', record_ids)]).unlink()
return result
def rating_get_parent_model_name(self, vals):
""" Return the parent model name """
return None
def rating_get_parent_id(self):
""" Return the parent record id """
return None
def rating_get_partner_id(self):
if hasattr(self, 'partner_id') and self.partner_id:
return self.partner_id
return self.env['res.partner']
def rating_get_rated_partner_id(self):
if hasattr(self, 'user_id') and self.user_id.partner_id:
return self.user_id.partner_id
return self.env['res.partner']
def rating_get_access_token(self, partner=None):
if not partner:
partner = self.rating_get_partner_id()
rated_partner = self.rating_get_rated_partner_id()
ratings = self.rating_ids.filtered(lambda x: x.partner_id.id == partner.id and not x.consumed)
if not ratings:
record_model_id = self.env['ir.model'].sudo().search([('model', '=', self._name)], limit=1).id
rating = self.env['rating.rating'].create({
'partner_id': partner.id,
'rated_partner_id': rated_partner.id,
'res_model_id': record_model_id,
'res_id': self.id
})
else:
rating = ratings[0]
return rating.access_token
@api.multi
def rating_send_request(self, template, lang=False, force_send=True):
""" This method send rating request by email, using a template given
in parameter. """
lang = lang or 'en_US'
for record in self:
template.with_context(lang=lang).send_mail(record.id, force_send=force_send)
@api.multi
def rating_apply(self, rate, token=None, feedback=None, subtype=None):
""" Apply a rating given a token. If the current model inherits from
mail.thread mixing, a message is posted on its chatter.
:param rate : the rating value to apply
:type rate : float
:param token : access token
:param feedback : additional feedback
:type feedback : string
:param subtype : subtype for mail
:type subtype : string
:returns rating.rating record
"""
Rating, rating = self.env['rating.rating'], None
if token:
rating = self.env['rating.rating'].search([('access_token', '=', token)], limit=1)
else:
rating = Rating.search([('res_model', '=', self._name), ('res_id', '=', self.ids[0])], limit=1)
if rating:
rating.write({'rating': rate, 'feedback': feedback, 'consumed': True})
if hasattr(self, 'message_post'):
feedback = tools.plaintext2html(feedback or '')
self.message_post(
body="<img src='/rating/static/src/img/rating_%s.png' alt=':rating_%s' style='width:20px;height:20px;float:left;margin-right: 5px;'/>%s"
% (rate, rate, feedback),
subtype=subtype or "mail.mt_comment",
author_id=rating.partner_id and rating.partner_id.id or None # None will set the default author in mail_thread.py
)
if hasattr(self, 'stage_id') and self.stage_id and hasattr(self.stage_id, 'auto_validation_kanban_state') and self.stage_id.auto_validation_kanban_state:
if rating.rating > 5:
self.write({'kanban_state': 'done'})
if rating.rating < 5:
self.write({'kanban_state': 'blocked'})
return rating
@api.multi
def rating_get_repartition(self, add_stats=False, domain=None):
""" get the repatition of rating grade for the given res_ids.
:param add_stats : flag to add stat to the result
:type add_stats : boolean
:param domain : optional extra domain of the rating to include/exclude in repartition
:return dictionnary
if not add_stats, the dict is like
- key is the rating value (integer)
- value is the number of object (res_model, res_id) having the value
otherwise, key is the value of the information (string) : either stat name (avg, total, ...) or 'repartition'
containing the same dict if add_stats was False.
"""
base_domain = [('res_model', '=', self._name), ('res_id', 'in', self.ids), ('rating', '>=', 1), ('consumed', '=', True)]
if domain:
base_domain += domain
data = self.env['rating.rating'].read_group(base_domain, ['rating'], ['rating', 'res_id'])
# init dict with all posible rate value, except 0 (no value for the rating)
values = dict.fromkeys(range(1, 11), 0)
values.update((d['rating'], d['rating_count']) for d in data)
# add other stats
if add_stats:
rating_number = sum(values.values())
result = {
'repartition': values,
'avg': sum(float(key * values[key]) for key in values) / rating_number if rating_number > 0 else 0,
'total': sum(it['rating_count'] for it in data),
}
return result
return values
@api.multi
def rating_get_grades(self, domain=None):
""" get the repatition of rating grade for the given res_ids.
:param domain : optional domain of the rating to include/exclude in grades computation
:return dictionnary where the key is the grade (great, okay, bad), and the value, the number of object (res_model, res_id) having the grade
the grade are compute as 0-30% : Bad
31-69%: Okay
70-100%: Great
"""
data = self.rating_get_repartition(domain=domain)
res = dict.fromkeys(['great', 'okay', 'bad'], 0)
for key in data:
if key >= RATING_LIMIT_SATISFIED:
res['great'] += data[key]
elif key > RATING_LIMIT_OK:
res['okay'] += data[key]
else:
res['bad'] += data[key]
return res
@api.multi
def rating_get_stats(self, domain=None):
""" get the statistics of the rating repatition
:param domain : optional domain of the rating to include/exclude in statistic computation
:return dictionnary where
- key is the the name of the information (stat name)
- value is statistic value : 'percent' contains the repartition in percentage, 'avg' is the average rate
and 'total' is the number of rating
"""
data = self.rating_get_repartition(domain=domain, add_stats=True)
result = {
'avg': data['avg'],
'total': data['total'],
'percent': dict.fromkeys(range(1, 11), 0),
}
for rate in data['repartition']:
result['percent'][rate] = (data['repartition'][rate] * 100) / data['total'] if data['total'] > 0 else 0
return result