102 lines
3.0 KiB
Python
102 lines
3.0 KiB
Python
# This file is part of Gajim.
|
|
#
|
|
# Gajim is free software; you can redistribute it and/or modify
|
|
# it under the terms of the GNU General Public License as published
|
|
# by the Free Software Foundation; version 3 only.
|
|
#
|
|
# Gajim is distributed in the hope that it will be useful,
|
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
# GNU General Public License for more details.
|
|
#
|
|
# You should have received a copy of the GNU General Public License
|
|
# along with Gajim. If not, see <http://www.gnu.org/licenses/>.
|
|
|
|
# XEP-0107: User Mood
|
|
|
|
from typing import Any
|
|
from typing import Dict
|
|
from typing import List # pylint: disable=unused-import
|
|
from typing import Optional
|
|
from typing import Tuple
|
|
|
|
import logging
|
|
|
|
import nbxmpp
|
|
from gi.repository import GLib
|
|
|
|
from gajim.common.const import PEPEventType, MOODS
|
|
from gajim.common.exceptions import StanzaMalformed
|
|
from gajim.common.modules.pep import AbstractPEPModule, AbstractPEPData
|
|
from gajim.common.types import ConnectionT
|
|
|
|
log = logging.getLogger('gajim.c.m.user_mood')
|
|
|
|
|
|
class UserMoodData(AbstractPEPData):
|
|
|
|
type_ = PEPEventType.MOOD
|
|
|
|
def __init__(self, mood: Optional[Dict[str, str]]) -> None:
|
|
self.data = mood
|
|
|
|
def as_markup_text(self) -> str:
|
|
if self.data is None:
|
|
return ''
|
|
mood = self._translate_mood(self.data['mood'])
|
|
markuptext = '<b>%s</b>' % GLib.markup_escape_text(mood)
|
|
if 'text' in self.data:
|
|
text = self.data['text']
|
|
markuptext += ' (%s)' % GLib.markup_escape_text(text)
|
|
return markuptext
|
|
|
|
@staticmethod
|
|
def _translate_mood(mood: str) -> str:
|
|
if mood in MOODS:
|
|
return MOODS[mood]
|
|
return mood
|
|
|
|
|
|
class UserMood(AbstractPEPModule):
|
|
|
|
name = 'mood'
|
|
namespace = nbxmpp.NS_MOOD
|
|
pep_class = UserMoodData
|
|
store_publish = True
|
|
_log = log
|
|
|
|
def __init__(self, con: ConnectionT) -> None:
|
|
AbstractPEPModule.__init__(self, con, con.name)
|
|
|
|
self.handlers = [] # type: List[Tuple[Any, ...]]
|
|
|
|
def _extract_info(self, item: nbxmpp.Node) -> Optional[Dict[str, str]]:
|
|
mood_dict = {}
|
|
mood_tag = item.getTag('mood', namespace=nbxmpp.NS_MOOD)
|
|
if mood_tag is None:
|
|
raise StanzaMalformed('No mood node')
|
|
|
|
for child in mood_tag.getChildren():
|
|
name = child.getName().strip()
|
|
if name == 'text':
|
|
mood_dict['text'] = child.getData()
|
|
else:
|
|
mood_dict['mood'] = name
|
|
|
|
return mood_dict or None
|
|
|
|
def _build_node(self, data: Optional[Tuple[str, str]]) -> nbxmpp.Node:
|
|
item = nbxmpp.Node('mood', {'xmlns': nbxmpp.NS_MOOD})
|
|
if data is None:
|
|
return item
|
|
mood, text = data
|
|
if mood:
|
|
item.addChild(mood)
|
|
if text:
|
|
item.addChild('text', payload=text)
|
|
return item
|
|
|
|
|
|
def get_instance(*args: Any, **kwargs: Any) -> Tuple[UserMood, str]:
|
|
return UserMood(*args, **kwargs), 'UserMood'
|