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MatrixSynapse/synapse/push/push_rule_evaluator.py

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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
from typing import Any, Dict, List, Optional, Pattern, Tuple, Union
from synapse.events import EventBase
from synapse.types import UserID
from synapse.util.caches.lrucache import LruCache
logger = logging.getLogger(__name__)
GLOB_REGEX = re.compile(r"\\\[(\\\!|)(.*)\\\]")
IS_GLOB = re.compile(r"[\?\*\[\]]")
INEQUALITY_EXPR = re.compile("^([=<>]*)([0-9]*)$")
def _room_member_count(
ev: EventBase, condition: Dict[str, Any], room_member_count: int
) -> bool:
return _test_ineq_condition(condition, room_member_count)
def _sender_notification_permission(
ev: EventBase,
condition: Dict[str, Any],
sender_power_level: int,
power_levels: Dict[str, Union[int, Dict[str, int]]],
) -> bool:
notif_level_key = condition.get("key")
if notif_level_key is None:
return False
notif_levels = power_levels.get("notifications", {})
assert isinstance(notif_levels, dict)
room_notif_level = notif_levels.get(notif_level_key, 50)
return sender_power_level >= room_notif_level
def _test_ineq_condition(condition: Dict[str, Any], number: int) -> bool:
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 = int(rhs)
if ineq == "" or ineq == "==":
return number == rhs_int
elif ineq == "<":
return number < rhs_int
elif ineq == ">":
return number > rhs_int
elif ineq == ">=":
return number >= rhs_int
elif ineq == "<=":
return number <= rhs_int
else:
return False
def tweaks_for_actions(actions: List[Union[str, Dict]]) -> Dict[str, Any]:
"""
Converts a list of actions into a `tweaks` dict (which can then be passed to
the push gateway).
This function ignores all actions other than `set_tweak` actions, and treats
absent `value`s as `True`, which agrees with the only spec-defined treatment
of absent `value`s (namely, for `highlight` tweaks).
Args:
actions: list of actions
e.g. [
{"set_tweak": "a", "value": "AAA"},
{"set_tweak": "b", "value": "BBB"},
{"set_tweak": "highlight"},
"notify"
]
Returns:
dictionary of tweaks for those actions
e.g. {"a": "AAA", "b": "BBB", "highlight": True}
"""
tweaks = {}
for a in actions:
if not isinstance(a, dict):
continue
if "set_tweak" in a:
# value is allowed to be absent in which case the value assumed
# should be True.
tweaks[a["set_tweak"]] = a.get("value", True)
return tweaks
class PushRuleEvaluatorForEvent:
def __init__(
self,
event: EventBase,
room_member_count: int,
sender_power_level: int,
power_levels: Dict[str, Union[int, Dict[str, int]]],
):
self._event = event
self._room_member_count = room_member_count
self._sender_power_level = sender_power_level
self._power_levels = power_levels
# Maps strings of e.g. 'content.body' -> event["content"]["body"]
self._value_cache = _flatten_dict(event)
def matches(
self, condition: Dict[str, Any], user_id: str, display_name: str
) -> bool:
if condition["kind"] == "event_match":
return self._event_match(condition, user_id)
elif condition["kind"] == "contains_display_name":
return self._contains_display_name(display_name)
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(
self._event, condition, self._sender_power_level, self._power_levels
)
else:
return True
def _event_match(self, condition: dict, user_id: str) -> bool:
pattern = condition.get("pattern", None)
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
if not pattern:
logger.warning("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 or not isinstance(body, str):
return False
return _glob_matches(pattern, body, word_boundary=True)
else:
haystack = self._get_value(condition["key"])
if haystack is None:
return False
return _glob_matches(pattern, haystack)
def _contains_display_name(self, display_name: str) -> bool:
if not display_name:
return False
body = self._event.content.get("body", None)
if not body or not isinstance(body, str):
return False
# Similar to _glob_matches, but do not treat display_name as a glob.
r = regex_cache.get((display_name, False, True), None)
if not r:
r1 = re.escape(display_name)
r1 = _re_word_boundary(r1)
r = re.compile(r1, flags=re.IGNORECASE)
regex_cache[(display_name, False, True)] = r
return bool(r.search(body))
def _get_value(self, dotted_key: str) -> Optional[str]:
return self._value_cache.get(dotted_key, None)
# Caches (string, is_glob, word_boundary) -> regex for push. See _glob_matches
regex_cache = LruCache(
50000, "regex_push_cache"
) # type: LruCache[Tuple[str, bool, bool], Pattern]
def _glob_matches(glob: str, value: str, word_boundary: bool = False) -> bool:
"""Tests if value matches glob.
Args:
glob
value: String to test against glob.
word_boundary: Whether to match against word boundaries or entire
string. Defaults to False.
"""
try:
r = regex_cache.get((glob, True, word_boundary), None)
if not r:
r = _glob_to_re(glob, word_boundary)
regex_cache[(glob, True, word_boundary)] = r
return bool(r.search(value))
except re.error:
logger.warning("Failed to parse glob to regex: %r", glob)
return False
def _glob_to_re(glob: str, word_boundary: bool) -> Pattern:
"""Generates regex for a given glob.
Args:
glob
word_boundary: Whether to match against word boundaries or entire string.
"""
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 = _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) + "$"
return re.compile(r, flags=re.IGNORECASE)
def _re_word_boundary(r: str) -> str:
"""
Adds word boundary characters to the start and end of an
expression to require that the match occur as a whole word,
but do so respecting the fact that strings starting or ending
with non-word characters will change word boundaries.
"""
# we can't use \b as it chokes on unicode. however \W seems to be okay
# as shorthand for [^0-9A-Za-z_].
return r"(^|\W)%s(\W|$)" % (r,)
def _flatten_dict(
d: Union[EventBase, dict],
prefix: Optional[List[str]] = None,
result: Optional[Dict[str, str]] = None,
) -> Dict[str, str]:
if prefix is None:
prefix = []
if result is None:
result = {}
for key, value in d.items():
if isinstance(value, str):
result[".".join(prefix + [key])] = value.lower()
elif hasattr(value, "items"):
_flatten_dict(value, prefix=(prefix + [key]), result=result)
return result
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