696 lines
		
	
	
		
			24 KiB
		
	
	
	
		
			Python
		
	
	
			
		
		
	
	
			696 lines
		
	
	
		
			24 KiB
		
	
	
	
		
			Python
		
	
	
# Copyright 2015, 2016 OpenMarket 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 itertools
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import logging
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from typing import TYPE_CHECKING, Collection, Dict, Iterable, List, Optional, Set, Tuple
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import attr
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from unpaddedbase64 import decode_base64, encode_base64
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from synapse.api.constants import EventTypes, Membership
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from synapse.api.errors import NotFoundError, SynapseError
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from synapse.api.filtering import Filter
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from synapse.events import EventBase
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from synapse.types import JsonDict, StreamKeyType, UserID
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from synapse.types.state import StateFilter
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from synapse.visibility import filter_events_for_client
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if TYPE_CHECKING:
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    from synapse.server import HomeServer
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logger = logging.getLogger(__name__)
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@attr.s(slots=True, frozen=True, auto_attribs=True)
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class _SearchResult:
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    # The count of results.
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    count: int
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    # A mapping of event ID to the rank of that event.
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    rank_map: Dict[str, int]
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    # A list of the resulting events.
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    allowed_events: List[EventBase]
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    # A map of room ID to results.
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    room_groups: Dict[str, JsonDict]
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    # A set of event IDs to highlight.
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    highlights: Set[str]
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class SearchHandler:
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    def __init__(self, hs: "HomeServer"):
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        self.store = hs.get_datastores().main
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        self.state_handler = hs.get_state_handler()
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        self.clock = hs.get_clock()
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        self.hs = hs
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        self._event_serializer = hs.get_event_client_serializer()
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        self._relations_handler = hs.get_relations_handler()
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        self._storage_controllers = hs.get_storage_controllers()
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        self._state_storage_controller = self._storage_controllers.state
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        self.auth = hs.get_auth()
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    async def get_old_rooms_from_upgraded_room(self, room_id: str) -> Iterable[str]:
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        """Retrieves room IDs of old rooms in the history of an upgraded room.
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        We do so by checking the m.room.create event of the room for a
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        `predecessor` key. If it exists, we add the room ID to our return
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        list and then check that room for a m.room.create event and so on
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        until we can no longer find any more previous rooms.
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        The full list of all found rooms in then returned.
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        Args:
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            room_id: id of the room to search through.
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        Returns:
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            Predecessor room ids
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        """
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        historical_room_ids = []
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        # The initial room must have been known for us to get this far
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        predecessor = await self.store.get_room_predecessor(room_id)
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        while True:
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            if not predecessor:
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                # We have reached the end of the chain of predecessors
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                break
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            if not isinstance(predecessor.get("room_id"), str):
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                # This predecessor object is malformed. Exit here
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                break
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            predecessor_room_id = predecessor["room_id"]
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            # Don't add it to the list until we have checked that we are in the room
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            try:
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                next_predecessor_room = await self.store.get_room_predecessor(
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                    predecessor_room_id
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                )
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            except NotFoundError:
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                # The predecessor is not a known room, so we are done here
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                break
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            historical_room_ids.append(predecessor_room_id)
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            # And repeat
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            predecessor = next_predecessor_room
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        return historical_room_ids
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    async def search(
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        self, user: UserID, content: JsonDict, batch: Optional[str] = None
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    ) -> JsonDict:
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        """Performs a full text search for a user.
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        Args:
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            user: The user performing the search.
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            content: Search parameters
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            batch: The next_batch parameter. Used for pagination.
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        Returns:
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            dict to be returned to the client with results of search
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        """
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        if not self.hs.config.server.enable_search:
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            raise SynapseError(400, "Search is disabled on this homeserver")
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        batch_group = None
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        batch_group_key = None
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        batch_token = None
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        if batch:
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            try:
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                b = decode_base64(batch).decode("ascii")
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                batch_group, batch_group_key, batch_token = b.split("\n")
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                assert batch_group is not None
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                assert batch_group_key is not None
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                assert batch_token is not None
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            except Exception:
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                raise SynapseError(400, "Invalid batch")
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        logger.info(
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            "Search batch properties: %r, %r, %r",
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            batch_group,
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            batch_group_key,
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            batch_token,
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        )
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        logger.info("Search content: %s", content)
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        try:
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            room_cat = content["search_categories"]["room_events"]
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            # The actual thing to query in FTS
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            search_term = room_cat["search_term"]
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            # Which "keys" to search over in FTS query
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            keys = room_cat.get(
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                "keys", ["content.body", "content.name", "content.topic"]
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            )
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            # Filter to apply to results
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            filter_dict = room_cat.get("filter", {})
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            # What to order results by (impacts whether pagination can be done)
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            order_by = room_cat.get("order_by", "rank")
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            # Return the current state of the rooms?
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            include_state = room_cat.get("include_state", False)
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            # Include context around each event?
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            event_context = room_cat.get("event_context", None)
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            before_limit = after_limit = None
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            include_profile = False
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            # Group results together? May allow clients to paginate within a
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            # group
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            group_by = room_cat.get("groupings", {}).get("group_by", {})
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            group_keys = [g["key"] for g in group_by]
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            if event_context is not None:
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                before_limit = int(event_context.get("before_limit", 5))
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                after_limit = int(event_context.get("after_limit", 5))
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                # Return the historic display name and avatar for the senders
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                # of the events?
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                include_profile = bool(event_context.get("include_profile", False))
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        except KeyError:
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            raise SynapseError(400, "Invalid search query")
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        if order_by not in ("rank", "recent"):
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            raise SynapseError(400, "Invalid order by: %r" % (order_by,))
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        if set(group_keys) - {"room_id", "sender"}:
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            raise SynapseError(
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                400,
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                "Invalid group by keys: %r"
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                % (set(group_keys) - {"room_id", "sender"},),
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            )
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        return await self._search(
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            user,
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            batch_group,
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            batch_group_key,
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            batch_token,
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            search_term,
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            keys,
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            filter_dict,
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            order_by,
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            include_state,
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            group_keys,
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            event_context,
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            before_limit,
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            after_limit,
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            include_profile,
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        )
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    async def _search(
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        self,
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        user: UserID,
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        batch_group: Optional[str],
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        batch_group_key: Optional[str],
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        batch_token: Optional[str],
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        search_term: str,
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        keys: List[str],
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        filter_dict: JsonDict,
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        order_by: str,
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        include_state: bool,
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        group_keys: List[str],
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        event_context: Optional[bool],
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        before_limit: Optional[int],
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        after_limit: Optional[int],
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        include_profile: bool,
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    ) -> JsonDict:
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        """Performs a full text search for a user.
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        Args:
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            user: The user performing the search.
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            batch_group: Pagination information.
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            batch_group_key: Pagination information.
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            batch_token: Pagination information.
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            search_term: Search term to search for
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            keys: List of keys to search in, currently supports
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                "content.body", "content.name", "content.topic"
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            filter_dict: The JSON to build a filter out of.
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            order_by: How to order the results. Valid values ore "rank" and "recent".
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            include_state: True if the state of the room at each result should
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                be included.
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            group_keys: A list of ways to group the results. Valid values are
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                "room_id" and "sender".
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            event_context: True to include contextual events around results.
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            before_limit:
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                The number of events before a result to include as context.
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                Only used if event_context is True.
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            after_limit:
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                The number of events after a result to include as context.
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                Only used if event_context is True.
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            include_profile: True if historical profile information should be
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                included in the event context.
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                Only used if event_context is True.
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        Returns:
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            dict to be returned to the client with results of search
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        """
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        search_filter = Filter(self.hs, filter_dict)
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        # TODO: Search through left rooms too
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        rooms = await self.store.get_rooms_for_local_user_where_membership_is(
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            user.to_string(),
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            membership_list=[Membership.JOIN],
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            # membership_list=[Membership.JOIN, Membership.LEAVE, Membership.Ban],
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        )
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        room_ids = {r.room_id for r in rooms}
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        # If doing a subset of all rooms search, check if any of the rooms
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        # are from an upgraded room, and search their contents as well
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        if search_filter.rooms:
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            historical_room_ids: List[str] = []
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            for room_id in search_filter.rooms:
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                # Add any previous rooms to the search if they exist
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                ids = await self.get_old_rooms_from_upgraded_room(room_id)
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                historical_room_ids += ids
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            # Prevent any historical events from being filtered
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            search_filter = search_filter.with_room_ids(historical_room_ids)
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        room_ids = search_filter.filter_rooms(room_ids)
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        if batch_group == "room_id":
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            room_ids.intersection_update({batch_group_key})
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        if not room_ids:
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            return {
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                "search_categories": {
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                    "room_events": {"results": [], "count": 0, "highlights": []}
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                }
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            }
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        sender_group: Optional[Dict[str, JsonDict]]
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        if order_by == "rank":
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            search_result, sender_group = await self._search_by_rank(
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                user, room_ids, search_term, keys, search_filter
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            )
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            # Unused return values for rank search.
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            global_next_batch = None
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        elif order_by == "recent":
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            search_result, global_next_batch = await self._search_by_recent(
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                user,
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                room_ids,
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                search_term,
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                keys,
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                search_filter,
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                batch_group,
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                batch_group_key,
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                batch_token,
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            )
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            # Unused return values for recent search.
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            sender_group = None
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        else:
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            # We should never get here due to the guard earlier.
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            raise NotImplementedError()
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        logger.info("Found %d events to return", len(search_result.allowed_events))
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        # If client has asked for "context" for each event (i.e. some surrounding
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        # events and state), fetch that
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        if event_context is not None:
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            # Note that before and after limit must be set in this case.
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            assert before_limit is not None
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            assert after_limit is not None
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            contexts = await self._calculate_event_contexts(
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                user,
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                search_result.allowed_events,
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                before_limit,
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                after_limit,
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                include_profile,
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            )
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        else:
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            contexts = {}
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        # TODO: Add a limit
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        state_results = {}
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        if include_state:
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            for room_id in {e.room_id for e in search_result.allowed_events}:
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                state = await self._storage_controllers.state.get_current_state(room_id)
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                state_results[room_id] = list(state.values())
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        aggregations = await self._relations_handler.get_bundled_aggregations(
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            # Generate an iterable of EventBase for all the events that will be
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            # returned, including contextual events.
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            itertools.chain(
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                # The events_before and events_after for each context.
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                itertools.chain.from_iterable(
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                    itertools.chain(context["events_before"], context["events_after"])
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                    for context in contexts.values()
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                ),
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                # The returned events.
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                search_result.allowed_events,
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            ),
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            user.to_string(),
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        )
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        # We're now about to serialize the events. We should not make any
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        # blocking calls after this. Otherwise, the 'age' will be wrong.
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        time_now = self.clock.time_msec()
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        for context in contexts.values():
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            context["events_before"] = self._event_serializer.serialize_events(
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                context["events_before"], time_now, bundle_aggregations=aggregations
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            )
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            context["events_after"] = self._event_serializer.serialize_events(
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                context["events_after"], time_now, bundle_aggregations=aggregations
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            )
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        results = [
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            {
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                "rank": search_result.rank_map[e.event_id],
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                "result": self._event_serializer.serialize_event(
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                    e, time_now, bundle_aggregations=aggregations
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                ),
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                "context": contexts.get(e.event_id, {}),
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            }
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            for e in search_result.allowed_events
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        ]
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        rooms_cat_res: JsonDict = {
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            "results": results,
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            "count": search_result.count,
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            "highlights": list(search_result.highlights),
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        }
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        if state_results:
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            rooms_cat_res["state"] = {
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                room_id: self._event_serializer.serialize_events(state_events, time_now)
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                for room_id, state_events in state_results.items()
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            }
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        if search_result.room_groups and "room_id" in group_keys:
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            rooms_cat_res.setdefault("groups", {})[
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                "room_id"
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            ] = search_result.room_groups
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        if sender_group and "sender" in group_keys:
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            rooms_cat_res.setdefault("groups", {})["sender"] = sender_group
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        if global_next_batch:
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            rooms_cat_res["next_batch"] = global_next_batch
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        return {"search_categories": {"room_events": rooms_cat_res}}
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    async def _search_by_rank(
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        self,
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        user: UserID,
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        room_ids: Collection[str],
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        search_term: str,
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        keys: Iterable[str],
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        search_filter: Filter,
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    ) -> Tuple[_SearchResult, Dict[str, JsonDict]]:
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        """
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        Performs a full text search for a user ordering by rank.
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        Args:
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            user: The user performing the search.
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            room_ids: List of room ids to search in
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            search_term: Search term to search for
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            keys: List of keys to search in, currently supports
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                "content.body", "content.name", "content.topic"
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            search_filter: The event filter to use.
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        Returns:
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            A tuple of:
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                The search results.
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                A map of sender ID to results.
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        """
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        rank_map = {}  # event_id -> rank of event
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        # Holds result of grouping by room, if applicable
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        room_groups: Dict[str, JsonDict] = {}
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        # Holds result of grouping by sender, if applicable
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        sender_group: Dict[str, JsonDict] = {}
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        search_result = await self.store.search_msgs(room_ids, search_term, keys)
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        if search_result["highlights"]:
 | 
						|
            highlights = search_result["highlights"]
 | 
						|
        else:
 | 
						|
            highlights = set()
 | 
						|
 | 
						|
        results = search_result["results"]
 | 
						|
 | 
						|
        # event_id -> rank of event
 | 
						|
        rank_map = {r["event"].event_id: r["rank"] for r in results}
 | 
						|
 | 
						|
        filtered_events = await search_filter.filter([r["event"] for r in results])
 | 
						|
 | 
						|
        events = await filter_events_for_client(
 | 
						|
            self._storage_controllers, user.to_string(), filtered_events
 | 
						|
        )
 | 
						|
 | 
						|
        events.sort(key=lambda e: -rank_map[e.event_id])
 | 
						|
        allowed_events = events[: search_filter.limit]
 | 
						|
 | 
						|
        for e in allowed_events:
 | 
						|
            rm = room_groups.setdefault(
 | 
						|
                e.room_id, {"results": [], "order": rank_map[e.event_id]}
 | 
						|
            )
 | 
						|
            rm["results"].append(e.event_id)
 | 
						|
 | 
						|
            s = sender_group.setdefault(
 | 
						|
                e.sender, {"results": [], "order": rank_map[e.event_id]}
 | 
						|
            )
 | 
						|
            s["results"].append(e.event_id)
 | 
						|
 | 
						|
        return (
 | 
						|
            _SearchResult(
 | 
						|
                search_result["count"],
 | 
						|
                rank_map,
 | 
						|
                allowed_events,
 | 
						|
                room_groups,
 | 
						|
                highlights,
 | 
						|
            ),
 | 
						|
            sender_group,
 | 
						|
        )
 | 
						|
 | 
						|
    async def _search_by_recent(
 | 
						|
        self,
 | 
						|
        user: UserID,
 | 
						|
        room_ids: Collection[str],
 | 
						|
        search_term: str,
 | 
						|
        keys: Iterable[str],
 | 
						|
        search_filter: Filter,
 | 
						|
        batch_group: Optional[str],
 | 
						|
        batch_group_key: Optional[str],
 | 
						|
        batch_token: Optional[str],
 | 
						|
    ) -> Tuple[_SearchResult, Optional[str]]:
 | 
						|
        """
 | 
						|
        Performs a full text search for a user ordering by recent.
 | 
						|
 | 
						|
        Args:
 | 
						|
            user: The user performing the search.
 | 
						|
            room_ids: List of room ids to search in
 | 
						|
            search_term: Search term to search for
 | 
						|
            keys: List of keys to search in, currently supports
 | 
						|
                "content.body", "content.name", "content.topic"
 | 
						|
            search_filter: The event filter to use.
 | 
						|
            batch_group: Pagination information.
 | 
						|
            batch_group_key: Pagination information.
 | 
						|
            batch_token: Pagination information.
 | 
						|
 | 
						|
        Returns:
 | 
						|
            A tuple of:
 | 
						|
                The search results.
 | 
						|
                Optionally, a pagination token.
 | 
						|
        """
 | 
						|
        rank_map = {}  # event_id -> rank of event
 | 
						|
        # Holds result of grouping by room, if applicable
 | 
						|
        room_groups: Dict[str, JsonDict] = {}
 | 
						|
 | 
						|
        # Holds the next_batch for the entire result set if one of those exists
 | 
						|
        global_next_batch = None
 | 
						|
 | 
						|
        highlights = set()
 | 
						|
 | 
						|
        room_events: List[EventBase] = []
 | 
						|
        i = 0
 | 
						|
 | 
						|
        pagination_token = batch_token
 | 
						|
 | 
						|
        # We keep looping and we keep filtering until we reach the limit
 | 
						|
        # or we run out of things.
 | 
						|
        # But only go around 5 times since otherwise synapse will be sad.
 | 
						|
        while len(room_events) < search_filter.limit and i < 5:
 | 
						|
            i += 1
 | 
						|
            search_result = await self.store.search_rooms(
 | 
						|
                room_ids,
 | 
						|
                search_term,
 | 
						|
                keys,
 | 
						|
                search_filter.limit * 2,
 | 
						|
                pagination_token=pagination_token,
 | 
						|
            )
 | 
						|
 | 
						|
            if search_result["highlights"]:
 | 
						|
                highlights.update(search_result["highlights"])
 | 
						|
 | 
						|
            count = search_result["count"]
 | 
						|
 | 
						|
            results = search_result["results"]
 | 
						|
 | 
						|
            results_map = {r["event"].event_id: r for r in results}
 | 
						|
 | 
						|
            rank_map.update({r["event"].event_id: r["rank"] for r in results})
 | 
						|
 | 
						|
            filtered_events = await search_filter.filter([r["event"] for r in results])
 | 
						|
 | 
						|
            events = await filter_events_for_client(
 | 
						|
                self._storage_controllers, user.to_string(), filtered_events
 | 
						|
            )
 | 
						|
 | 
						|
            room_events.extend(events)
 | 
						|
            room_events = room_events[: search_filter.limit]
 | 
						|
 | 
						|
            if len(results) < search_filter.limit * 2:
 | 
						|
                break
 | 
						|
            else:
 | 
						|
                pagination_token = results[-1]["pagination_token"]
 | 
						|
 | 
						|
        for event in room_events:
 | 
						|
            group = room_groups.setdefault(event.room_id, {"results": []})
 | 
						|
            group["results"].append(event.event_id)
 | 
						|
 | 
						|
        if room_events and len(room_events) >= search_filter.limit:
 | 
						|
            last_event_id = room_events[-1].event_id
 | 
						|
            pagination_token = results_map[last_event_id]["pagination_token"]
 | 
						|
 | 
						|
            # We want to respect the given batch group and group keys so
 | 
						|
            # that if people blindly use the top level `next_batch` token
 | 
						|
            # it returns more from the same group (if applicable) rather
 | 
						|
            # than reverting to searching all results again.
 | 
						|
            if batch_group and batch_group_key:
 | 
						|
                global_next_batch = encode_base64(
 | 
						|
                    (
 | 
						|
                        "%s\n%s\n%s" % (batch_group, batch_group_key, pagination_token)
 | 
						|
                    ).encode("ascii")
 | 
						|
                )
 | 
						|
            else:
 | 
						|
                global_next_batch = encode_base64(
 | 
						|
                    ("%s\n%s\n%s" % ("all", "", pagination_token)).encode("ascii")
 | 
						|
                )
 | 
						|
 | 
						|
            for room_id, group in room_groups.items():
 | 
						|
                group["next_batch"] = encode_base64(
 | 
						|
                    ("%s\n%s\n%s" % ("room_id", room_id, pagination_token)).encode(
 | 
						|
                        "ascii"
 | 
						|
                    )
 | 
						|
                )
 | 
						|
 | 
						|
        return (
 | 
						|
            _SearchResult(count, rank_map, room_events, room_groups, highlights),
 | 
						|
            global_next_batch,
 | 
						|
        )
 | 
						|
 | 
						|
    async def _calculate_event_contexts(
 | 
						|
        self,
 | 
						|
        user: UserID,
 | 
						|
        allowed_events: List[EventBase],
 | 
						|
        before_limit: int,
 | 
						|
        after_limit: int,
 | 
						|
        include_profile: bool,
 | 
						|
    ) -> Dict[str, JsonDict]:
 | 
						|
        """
 | 
						|
        Calculates the contextual events for any search results.
 | 
						|
 | 
						|
        Args:
 | 
						|
            user: The user performing the search.
 | 
						|
            allowed_events: The search results.
 | 
						|
            before_limit:
 | 
						|
                The number of events before a result to include as context.
 | 
						|
            after_limit:
 | 
						|
                The number of events after a result to include as context.
 | 
						|
            include_profile: True if historical profile information should be
 | 
						|
                included in the event context.
 | 
						|
 | 
						|
        Returns:
 | 
						|
            A map of event ID to contextual information.
 | 
						|
        """
 | 
						|
        now_token = self.hs.get_event_sources().get_current_token()
 | 
						|
 | 
						|
        contexts = {}
 | 
						|
        for event in allowed_events:
 | 
						|
            res = await self.store.get_events_around(
 | 
						|
                event.room_id, event.event_id, before_limit, after_limit
 | 
						|
            )
 | 
						|
 | 
						|
            logger.info(
 | 
						|
                "Context for search returned %d and %d events",
 | 
						|
                len(res.events_before),
 | 
						|
                len(res.events_after),
 | 
						|
            )
 | 
						|
 | 
						|
            events_before = await filter_events_for_client(
 | 
						|
                self._storage_controllers, user.to_string(), res.events_before
 | 
						|
            )
 | 
						|
 | 
						|
            events_after = await filter_events_for_client(
 | 
						|
                self._storage_controllers, user.to_string(), res.events_after
 | 
						|
            )
 | 
						|
 | 
						|
            context: JsonDict = {
 | 
						|
                "events_before": events_before,
 | 
						|
                "events_after": events_after,
 | 
						|
                "start": await now_token.copy_and_replace(
 | 
						|
                    StreamKeyType.ROOM, res.start
 | 
						|
                ).to_string(self.store),
 | 
						|
                "end": await now_token.copy_and_replace(
 | 
						|
                    StreamKeyType.ROOM, res.end
 | 
						|
                ).to_string(self.store),
 | 
						|
            }
 | 
						|
 | 
						|
            if include_profile:
 | 
						|
                senders = {
 | 
						|
                    ev.sender
 | 
						|
                    for ev in itertools.chain(events_before, [event], events_after)
 | 
						|
                }
 | 
						|
 | 
						|
                if events_after:
 | 
						|
                    last_event_id = events_after[-1].event_id
 | 
						|
                else:
 | 
						|
                    last_event_id = event.event_id
 | 
						|
 | 
						|
                state_filter = StateFilter.from_types(
 | 
						|
                    [(EventTypes.Member, sender) for sender in senders]
 | 
						|
                )
 | 
						|
 | 
						|
                state = await self._state_storage_controller.get_state_for_event(
 | 
						|
                    last_event_id, state_filter
 | 
						|
                )
 | 
						|
 | 
						|
                context["profile_info"] = {
 | 
						|
                    s.state_key: {
 | 
						|
                        "displayname": s.content.get("displayname", None),
 | 
						|
                        "avatar_url": s.content.get("avatar_url", None),
 | 
						|
                    }
 | 
						|
                    for s in state.values()
 | 
						|
                    if s.type == EventTypes.Member and s.state_key in senders
 | 
						|
                }
 | 
						|
 | 
						|
            contexts[event.event_id] = context
 | 
						|
 | 
						|
        return contexts
 |