240 lines
7.6 KiB
Python
240 lines
7.6 KiB
Python
# Copyright 2015, 2016 OpenMarket Ltd
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# Copyright 2017 New Vector Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import re
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from typing import Any, Dict, List, Optional, Pattern, Tuple, Union
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from synapse.events import EventBase
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from synapse.types import UserID
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from synapse.util import glob_to_regex, re_word_boundary
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from synapse.util.caches.lrucache import LruCache
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logger = logging.getLogger(__name__)
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GLOB_REGEX = re.compile(r"\\\[(\\\!|)(.*)\\\]")
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IS_GLOB = re.compile(r"[\?\*\[\]]")
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INEQUALITY_EXPR = re.compile("^([=<>]*)([0-9]*)$")
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def _room_member_count(
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ev: EventBase, condition: Dict[str, Any], room_member_count: int
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) -> bool:
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return _test_ineq_condition(condition, room_member_count)
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def _sender_notification_permission(
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ev: EventBase,
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condition: Dict[str, Any],
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sender_power_level: int,
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power_levels: Dict[str, Union[int, Dict[str, int]]],
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) -> bool:
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notif_level_key = condition.get("key")
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if notif_level_key is None:
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return False
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notif_levels = power_levels.get("notifications", {})
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assert isinstance(notif_levels, dict)
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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: Dict[str, Any], number: int) -> bool:
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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:
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return False
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ineq = m.group(1)
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rhs = m.group(2)
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if not rhs.isdigit():
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return False
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rhs_int = int(rhs)
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if ineq == "" or ineq == "==":
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return number == rhs_int
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elif ineq == "<":
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return number < rhs_int
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elif ineq == ">":
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return number > rhs_int
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elif ineq == ">=":
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return number >= rhs_int
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elif ineq == "<=":
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return number <= rhs_int
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else:
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return False
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def tweaks_for_actions(actions: List[Union[str, Dict]]) -> Dict[str, Any]:
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"""
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Converts a list of actions into a `tweaks` dict (which can then be passed to
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the push gateway).
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This function ignores all actions other than `set_tweak` actions, and treats
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absent `value`s as `True`, which agrees with the only spec-defined treatment
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of absent `value`s (namely, for `highlight` tweaks).
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Args:
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actions: list of actions
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e.g. [
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{"set_tweak": "a", "value": "AAA"},
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{"set_tweak": "b", "value": "BBB"},
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{"set_tweak": "highlight"},
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"notify"
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]
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Returns:
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dictionary of tweaks for those actions
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e.g. {"a": "AAA", "b": "BBB", "highlight": True}
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"""
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tweaks = {}
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for a in actions:
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if not isinstance(a, dict):
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continue
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if "set_tweak" in a:
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# value is allowed to be absent in which case the value assumed
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# should be True.
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tweaks[a["set_tweak"]] = a.get("value", True)
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return tweaks
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class PushRuleEvaluatorForEvent:
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def __init__(
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self,
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event: EventBase,
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room_member_count: int,
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sender_power_level: int,
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power_levels: Dict[str, Union[int, Dict[str, int]]],
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):
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self._event = event
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self._room_member_count = room_member_count
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self._sender_power_level = sender_power_level
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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)
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def matches(
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self, condition: Dict[str, Any], user_id: str, display_name: str
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) -> bool:
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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":
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return _room_member_count(self._event, condition, self._room_member_count)
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elif condition["kind"] == "sender_notification_permission":
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return _sender_notification_permission(
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self._event, condition, self._sender_power_level, self._power_levels
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)
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else:
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return True
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def _event_match(self, condition: dict, user_id: str) -> bool:
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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":
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pattern = user_id
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elif pattern_type == "user_localpart":
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pattern = UserID.from_string(user_id).localpart
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if not pattern:
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logger.warning("event_match condition with no pattern")
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return False
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# XXX: optimisation: cache our pattern regexps
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if condition["key"] == "content.body":
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body = self._event.content.get("body", None)
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if not body or not isinstance(body, str):
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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:
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return False
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return _glob_matches(pattern, haystack)
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def _contains_display_name(self, display_name: str) -> bool:
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if not display_name:
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return False
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body = self._event.content.get("body", None)
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if not body or not isinstance(body, str):
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return False
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# Similar to _glob_matches, but do not treat display_name as a glob.
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r = regex_cache.get((display_name, False, True), None)
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if not r:
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r1 = re.escape(display_name)
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r1 = re_word_boundary(r1)
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r = re.compile(r1, flags=re.IGNORECASE)
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regex_cache[(display_name, False, True)] = r
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return bool(r.search(body))
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def _get_value(self, dotted_key: str) -> Optional[str]:
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return self._value_cache.get(dotted_key, None)
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# Caches (string, is_glob, word_boundary) -> regex for push. See _glob_matches
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regex_cache: LruCache[Tuple[str, bool, bool], Pattern] = LruCache(
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50000, "regex_push_cache"
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)
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def _glob_matches(glob: str, value: str, word_boundary: bool = False) -> bool:
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"""Tests if value matches glob.
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Args:
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glob
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value: String to test against glob.
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word_boundary: Whether to match against word boundaries or entire
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string. Defaults to False.
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"""
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try:
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r = regex_cache.get((glob, True, word_boundary), None)
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if not r:
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r = glob_to_regex(glob, word_boundary)
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regex_cache[(glob, True, word_boundary)] = r
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return bool(r.search(value))
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except re.error:
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logger.warning("Failed to parse glob to regex: %r", glob)
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return False
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def _flatten_dict(
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d: Union[EventBase, dict],
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prefix: Optional[List[str]] = None,
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result: Optional[Dict[str, str]] = None,
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) -> Dict[str, str]:
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if prefix is None:
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prefix = []
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if result is None:
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result = {}
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for key, value in d.items():
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if isinstance(value, str):
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result[".".join(prefix + [key])] = value.lower()
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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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