synapse-product/synapse/push/push_rule_evaluator.py

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# -*- coding: utf-8 -*-
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# Copyright 2015, 2016 OpenMarket Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from twisted.internet import defer
import baserules
import logging
import simplejson as json
import re
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from synapse.types import UserID
from synapse.util.caches.lrucache import LruCache
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logger = logging.getLogger(__name__)
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GLOB_REGEX = re.compile(r'\\\[(\\\!|)(.*)\\\]')
IS_GLOB = re.compile(r'[\?\*\[\]]')
INEQUALITY_EXPR = re.compile("^([=<>]*)([0-9]*)$")
@defer.inlineCallbacks
def evaluator_for_user_id(user_id, room_id, store):
rawrules = yield store.get_push_rules_for_user(user_id)
enabled_map = yield store.get_push_rules_enabled_for_user(user_id)
our_member_event = yield store.get_current_state(
room_id=room_id,
event_type='m.room.member',
state_key=user_id,
)
defer.returnValue(PushRuleEvaluator(
user_id, rawrules, enabled_map,
room_id, our_member_event, store
))
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def _room_member_count(ev, condition, room_member_count):
if 'is' not in condition:
return False
m = INEQUALITY_EXPR.match(condition['is'])
if not m:
return False
ineq = m.group(1)
rhs = m.group(2)
if not rhs.isdigit():
return False
rhs = int(rhs)
if ineq == '' or ineq == '==':
return room_member_count == rhs
elif ineq == '<':
return room_member_count < rhs
elif ineq == '>':
return room_member_count > rhs
elif ineq == '>=':
return room_member_count >= rhs
elif ineq == '<=':
return room_member_count <= rhs
else:
return False
class PushRuleEvaluator:
DEFAULT_ACTIONS = []
def __init__(self, user_id, raw_rules, enabled_map, room_id,
our_member_event, store):
self.user_id = user_id
self.room_id = room_id
self.our_member_event = our_member_event
self.store = store
rules = []
for raw_rule in raw_rules:
rule = dict(raw_rule)
rule['conditions'] = json.loads(raw_rule['conditions'])
rule['actions'] = json.loads(raw_rule['actions'])
rules.append(rule)
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self.rules = baserules.list_with_base_rules(rules)
self.enabled_map = enabled_map
@staticmethod
def tweaks_for_actions(actions):
tweaks = {}
for a in actions:
if not isinstance(a, dict):
continue
if 'set_tweak' in a and 'value' in a:
tweaks[a['set_tweak']] = a['value']
return tweaks
@defer.inlineCallbacks
def actions_for_event(self, ev):
"""
This should take into account notification settings that the user
has configured both globally and per-room when we have the ability
to do such things.
"""
if ev['user_id'] == self.user_id:
# let's assume you probably know about messages you sent yourself
defer.returnValue([])
room_id = ev['room_id']
# get *our* member event for display name matching
my_display_name = None
if self.our_member_event:
my_display_name = self.our_member_event[0].content.get("displayname")
room_members = yield self.store.get_users_in_room(room_id)
room_member_count = len(room_members)
evaluator = PushRuleEvaluatorForEvent(ev, room_member_count)
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for r in self.rules:
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enabled = self.enabled_map.get(r['rule_id'], None)
if enabled is not None and not enabled:
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continue
if not r.get("enabled", True):
continue
conditions = r['conditions']
actions = r['actions']
# ignore rules with no actions (we have an explict 'dont_notify')
if len(actions) == 0:
logger.warn(
"Ignoring rule id %s with no actions for user %s",
r['rule_id'], self.user_id
)
continue
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matches = True
for c in conditions:
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matches = evaluator.matches(
c, self.user_id, my_display_name
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)
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if not matches:
break
logger.debug(
"Rule %s %s",
r['rule_id'], "matches" if matches else "doesn't match"
)
if matches:
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logger.debug(
"%s matches for user %s, event %s",
r['rule_id'], self.user_id, ev['event_id']
)
# filter out dont_notify as we treat an empty actions list
# as dont_notify, and this doesn't take up a row in our database
actions = [x for x in actions if x != 'dont_notify']
defer.returnValue(actions)
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logger.debug(
"No rules match for user %s, event %s",
self.user_id, ev['event_id']
)
defer.returnValue(PushRuleEvaluator.DEFAULT_ACTIONS)
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class PushRuleEvaluatorForEvent(object):
def __init__(self, event, room_member_count):
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self._event = event
self._room_member_count = room_member_count
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# Maps strings of e.g. 'content.body' -> event["content"]["body"]
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self._value_cache = _flatten_dict(event)
def matches(self, condition, user_id, display_name):
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if condition['kind'] == 'event_match':
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return self._event_match(condition, user_id)
elif condition['kind'] == 'contains_display_name':
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return self._contains_display_name(display_name)
elif condition['kind'] == 'room_member_count':
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return _room_member_count(
self._event, condition, self._room_member_count
)
else:
return True
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def _event_match(self, condition, user_id):
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pattern = condition.get('pattern', None)
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if not pattern:
pattern_type = condition.get('pattern_type', None)
if pattern_type == "user_id":
pattern = user_id
elif pattern_type == "user_localpart":
pattern = UserID.from_string(user_id).localpart
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if not pattern:
logger.warn("event_match condition with no pattern")
return False
# XXX: optimisation: cache our pattern regexps
if condition['key'] == 'content.body':
body = self._event["content"].get("body", None)
if not body:
return False
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return _glob_matches(pattern, body, word_boundary=True)
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else:
haystack = self._get_value(condition['key'])
if haystack is None:
return False
return _glob_matches(pattern, haystack)
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def _contains_display_name(self, display_name):
if not display_name:
return False
body = self._event["content"].get("body", None)
if not body:
return False
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return _glob_matches(display_name, body, word_boundary=True)
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def _get_value(self, dotted_key):
return self._value_cache.get(dotted_key, None)
def _glob_matches(glob, value, word_boundary=False):
"""Tests if value matches glob.
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Args:
glob (string)
value (string): String to test against glob.
word_boundary (bool): Whether to match against word boundaries or entire
string. Defaults to False.
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Returns:
bool
"""
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try:
if IS_GLOB.search(glob):
r = re.escape(glob)
r = r.replace(r'\*', '.*?')
r = r.replace(r'\?', '.')
# handle [abc], [a-z] and [!a-z] style ranges.
r = GLOB_REGEX.sub(
lambda x: (
'[%s%s]' % (
x.group(1) and '^' or '',
x.group(2).replace(r'\\\-', '-')
)
),
r,
)
if word_boundary:
r = r"\b%s\b" % (r,)
r = _compile_regex(r)
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return r.search(value)
else:
r = r + "$"
r = _compile_regex(r)
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return r.match(value)
elif word_boundary:
r = re.escape(glob)
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r = r"\b%s\b" % (r,)
r = _compile_regex(r)
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return r.search(value)
else:
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return value.lower() == glob.lower()
except re.error:
logger.warn("Failed to parse glob to regex: %r", glob)
return False
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def _flatten_dict(d, prefix=[], result={}):
for key, value in d.items():
if isinstance(value, basestring):
result[".".join(prefix + [key])] = value.lower()
elif hasattr(value, "items"):
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_flatten_dict(value, prefix=(prefix + [key]), result=result)
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return result
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regex_cache = LruCache(5000)
def _compile_regex(regex_str):
r = regex_cache.get(regex_str, None)
if r:
return r
r = re.compile(regex_str, flags=re.IGNORECASE)
regex_cache[regex_str] = r
return r