synapse-old/synapse/push/push_rule_evaluator.py

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# -*- coding: utf-8 -*-
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# Copyright 2015, 2016 OpenMarket Ltd
# Copyright 2017 New Vector 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.
import logging
import re
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from six import string_types
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from synapse.types import UserID
from synapse.util.caches import CACHE_SIZE_FACTOR, register_cache
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"[\?\*\[\]]")
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INEQUALITY_EXPR = re.compile("^([=<>]*)([0-9]*)$")
def _room_member_count(ev, condition, room_member_count):
return _test_ineq_condition(condition, room_member_count)
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def _sender_notification_permission(ev, condition, sender_power_level, power_levels):
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notif_level_key = condition.get("key")
if notif_level_key is None:
return False
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notif_levels = power_levels.get("notifications", {})
room_notif_level = notif_levels.get(notif_level_key, 50)
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return sender_power_level >= room_notif_level
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def _test_ineq_condition(condition, number):
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if "is" not in condition:
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return False
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m = INEQUALITY_EXPR.match(condition["is"])
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if not m:
return False
ineq = m.group(1)
rhs = m.group(2)
if not rhs.isdigit():
return False
rhs = int(rhs)
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if ineq == "" or ineq == "==":
return number == rhs
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elif ineq == "<":
return number < rhs
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elif ineq == ">":
return number > rhs
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elif ineq == ">=":
return number >= rhs
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elif ineq == "<=":
return number <= rhs
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else:
return False
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def tweaks_for_actions(actions):
tweaks = {}
for a in actions:
if not isinstance(a, dict):
continue
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if "set_tweak" in a and "value" in a:
tweaks[a["set_tweak"]] = a["value"]
return tweaks
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class PushRuleEvaluatorForEvent(object):
def __init__(self, event, room_member_count, sender_power_level, power_levels):
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self._event = event
self._room_member_count = room_member_count
self._sender_power_level = sender_power_level
self._power_levels = power_levels
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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)
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elif condition["kind"] == "contains_display_name":
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return self._contains_display_name(display_name)
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elif condition["kind"] == "room_member_count":
return _room_member_count(self._event, condition, self._room_member_count)
elif condition["kind"] == "sender_notification_permission":
return _sender_notification_permission(
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self._event, condition, self._sender_power_level, self._power_levels
)
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:
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pattern_type = condition.get("pattern_type", None)
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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.warning("event_match condition with no pattern")
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return False
# XXX: optimisation: cache our pattern regexps
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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:
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haystack = self._get_value(condition["key"])
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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)
# Caches (glob, word_boundary) -> regex for push. See _glob_matches
regex_cache = LruCache(50000 * CACHE_SIZE_FACTOR)
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register_cache("cache", "regex_push_cache", regex_cache)
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:
r = regex_cache.get((glob, word_boundary), None)
if not r:
r = _glob_to_re(glob, word_boundary)
regex_cache[(glob, word_boundary)] = r
return r.search(value)
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except re.error:
logger.warning("Failed to parse glob to regex: %r", glob)
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return False
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def _glob_to_re(glob, word_boundary):
"""Generates regex for a given glob.
Args:
glob (string)
word_boundary (bool): Whether to match against word boundaries or entire
string. Defaults to False.
Returns:
regex object
"""
if IS_GLOB.search(glob):
r = re.escape(glob)
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r = r.replace(r"\*", ".*?")
r = r.replace(r"\?", ".")
# handle [abc], [a-z] and [!a-z] style ranges.
r = GLOB_REGEX.sub(
lambda x: (
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"[%s%s]" % (x.group(1) and "^" or "", x.group(2).replace(r"\\\-", "-"))
),
r,
)
if word_boundary:
r = _re_word_boundary(r)
return re.compile(r, flags=re.IGNORECASE)
else:
r = "^" + r + "$"
return re.compile(r, flags=re.IGNORECASE)
elif word_boundary:
r = re.escape(glob)
r = _re_word_boundary(r)
return re.compile(r, flags=re.IGNORECASE)
else:
r = "^" + re.escape(glob) + "$"
return re.compile(r, flags=re.IGNORECASE)
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def _re_word_boundary(r):
"""
Adds word boundary characters to the start and end of an
expression to require that the match occur as a whole word,
but do so respecting the fact that strings starting or ending
with non-word characters will change word boundaries.
"""
# we can't use \b as it chokes on unicode. however \W seems to be okay
# as shorthand for [^0-9A-Za-z_].
return r"(^|\W)%s(\W|$)" % (r,)
def _flatten_dict(d, prefix=[], result=None):
if result is None:
result = {}
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for key, value in d.items():
if isinstance(value, string_types):
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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