synapse-product/synapse/handlers/search.py

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# Copyright 2015, 2016 OpenMarket Ltd
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#
# 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.
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import itertools
import logging
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
from synapse.api.errors import NotFoundError, SynapseError
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from synapse.api.filtering import Filter
from synapse.events import EventBase
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from synapse.storage.state import StateFilter
from synapse.types import JsonDict, UserID
from synapse.visibility import filter_events_for_client
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if TYPE_CHECKING:
from synapse.server import HomeServer
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logger = logging.getLogger(__name__)
@attr.s(slots=True, frozen=True, auto_attribs=True)
class _SearchResult:
# The count of results.
count: int
# A mapping of event ID to the rank of that event.
rank_map: Dict[str, int]
# A list of the resulting events.
allowed_events: List[EventBase]
# A map of room ID to results.
room_groups: Dict[str, JsonDict]
# A set of event IDs to highlight.
highlights: Set[str]
class SearchHandler:
def __init__(self, hs: "HomeServer"):
self.store = hs.get_datastores().main
self.state_handler = hs.get_state_handler()
self.clock = hs.get_clock()
self.hs = hs
self._event_serializer = hs.get_event_client_serializer()
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self.storage = hs.get_storage()
self.state_store = self.storage.state
self.auth = hs.get_auth()
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self._msc3666_enabled = hs.config.experimental.msc3666_enabled
async def get_old_rooms_from_upgraded_room(self, room_id: str) -> Iterable[str]:
"""Retrieves room IDs of old rooms in the history of an upgraded room.
We do so by checking the m.room.create event of the room for a
`predecessor` key. If it exists, we add the room ID to our return
list and then check that room for a m.room.create event and so on
until we can no longer find any more previous rooms.
The full list of all found rooms in then returned.
Args:
room_id: id of the room to search through.
Returns:
Predecessor room ids
"""
historical_room_ids = []
# The initial room must have been known for us to get this far
predecessor = await self.store.get_room_predecessor(room_id)
while True:
if not predecessor:
# We have reached the end of the chain of predecessors
break
if not isinstance(predecessor.get("room_id"), str):
# This predecessor object is malformed. Exit here
break
predecessor_room_id = predecessor["room_id"]
# Don't add it to the list until we have checked that we are in the room
try:
next_predecessor_room = await self.store.get_room_predecessor(
predecessor_room_id
)
except NotFoundError:
# The predecessor is not a known room, so we are done here
break
historical_room_ids.append(predecessor_room_id)
# And repeat
predecessor = next_predecessor_room
return historical_room_ids
async def search(
self, user: UserID, content: JsonDict, batch: Optional[str] = None
) -> JsonDict:
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"""Performs a full text search for a user.
Args:
user: The user performing the search.
content: Search parameters
batch: The next_batch parameter. Used for pagination.
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Returns:
dict to be returned to the client with results of search
"""
if not self.hs.config.server.enable_search:
raise SynapseError(400, "Search is disabled on this homeserver")
batch_group = None
batch_group_key = None
batch_token = None
if batch:
try:
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b = decode_base64(batch).decode("ascii")
batch_group, batch_group_key, batch_token = b.split("\n")
assert batch_group is not None
assert batch_group_key is not None
assert batch_token is not None
except Exception:
raise SynapseError(400, "Invalid batch")
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logger.info(
"Search batch properties: %r, %r, %r",
batch_group,
batch_group_key,
batch_token,
)
logger.info("Search content: %s", content)
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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# 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?
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)
before_limit = after_limit = None
include_profile = False
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# Group results together? May allow clients to paginate within a
# group
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group_by = room_cat.get("groupings", {}).get("group_by", {})
group_keys = [g["key"] for g in group_by]
if event_context is not None:
before_limit = int(event_context.get("before_limit", 5))
after_limit = int(event_context.get("after_limit", 5))
# Return the historic display name and avatar for the senders
# of the events?
include_profile = bool(event_context.get("include_profile", False))
except KeyError:
raise SynapseError(400, "Invalid search query")
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if order_by not in ("rank", "recent"):
raise SynapseError(400, "Invalid order by: %r" % (order_by,))
if set(group_keys) - {"room_id", "sender"}:
raise SynapseError(
400,
"Invalid group by keys: %r"
% (set(group_keys) - {"room_id", "sender"},),
)
return await self._search(
user,
batch_group,
batch_group_key,
batch_token,
search_term,
keys,
filter_dict,
order_by,
include_state,
group_keys,
event_context,
before_limit,
after_limit,
include_profile,
)
async def _search(
self,
user: UserID,
batch_group: Optional[str],
batch_group_key: Optional[str],
batch_token: Optional[str],
search_term: str,
keys: List[str],
filter_dict: JsonDict,
order_by: str,
include_state: bool,
group_keys: List[str],
event_context: Optional[bool],
before_limit: Optional[int],
after_limit: Optional[int],
include_profile: bool,
) -> JsonDict:
"""Performs a full text search for a user.
Args:
user: The user performing the search.
batch_group: Pagination information.
batch_group_key: Pagination information.
batch_token: Pagination information.
search_term: Search term to search for
keys: List of keys to search in, currently supports
"content.body", "content.name", "content.topic"
filter_dict: The JSON to build a filter out of.
order_by: How to order the results. Valid values ore "rank" and "recent".
include_state: True if the state of the room at each result should
be included.
group_keys: A list of ways to group the results. Valid values are
"room_id" and "sender".
event_context: True to include contextual events around results.
before_limit:
The number of events before a result to include as context.
Only used if event_context is True.
after_limit:
The number of events after a result to include as context.
Only used if event_context is True.
include_profile: True if historical profile information should be
included in the event context.
Only used if event_context is True.
Returns:
dict to be returned to the client with results of search
"""
search_filter = Filter(self.hs, filter_dict)
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# TODO: Search through left rooms too
rooms = await self.store.get_rooms_for_local_user_where_membership_is(
user.to_string(),
membership_list=[Membership.JOIN],
# membership_list=[Membership.JOIN, Membership.LEAVE, Membership.Ban],
)
room_ids = {r.room_id for r in rooms}
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# If doing a subset of all rooms seearch, check if any of the rooms
# are from an upgraded room, and search their contents as well
if search_filter.rooms:
historical_room_ids: List[str] = []
for room_id in search_filter.rooms:
# Add any previous rooms to the search if they exist
ids = await self.get_old_rooms_from_upgraded_room(room_id)
historical_room_ids += ids
# Prevent any historical events from being filtered
search_filter = search_filter.with_room_ids(historical_room_ids)
room_ids = search_filter.filter_rooms(room_ids)
if batch_group == "room_id":
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room_ids.intersection_update({batch_group_key})
if not room_ids:
return {
"search_categories": {
"room_events": {"results": [], "count": 0, "highlights": []}
}
}
sender_group: Optional[Dict[str, JsonDict]]
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if order_by == "rank":
search_result, sender_group = await self._search_by_rank(
user, room_ids, search_term, keys, search_filter
)
# Unused return values for rank search.
global_next_batch = None
elif order_by == "recent":
search_result, global_next_batch = await self._search_by_recent(
user,
room_ids,
search_term,
keys,
search_filter,
batch_group,
batch_group_key,
batch_token,
)
# Unused return values for recent search.
sender_group = None
else:
# We should never get here due to the guard earlier.
raise NotImplementedError()
logger.info("Found %d events to return", len(search_result.allowed_events))
# If client has asked for "context" for each event (i.e. some surrounding
# events and state), fetch that
if event_context is not None:
# Note that before and after limit must be set in this case.
assert before_limit is not None
assert after_limit is not None
contexts = await self._calculate_event_contexts(
user,
search_result.allowed_events,
before_limit,
after_limit,
include_profile,
)
else:
contexts = {}
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# TODO: Add a limit
state_results = {}
if include_state:
for room_id in {e.room_id for e in search_result.allowed_events}:
state = await self.state_handler.get_current_state(room_id)
state_results[room_id] = list(state.values())
aggregations = None
if self._msc3666_enabled:
aggregations = await self.store.get_bundled_aggregations(
# Generate an iterable of EventBase for all the events that will be
# returned, including contextual events.
itertools.chain(
# The events_before and events_after for each context.
itertools.chain.from_iterable(
itertools.chain(context["events_before"], context["events_after"]) # type: ignore[arg-type]
for context in contexts.values()
),
# The returned events.
search_result.allowed_events,
),
user.to_string(),
)
# We're now about to serialize the events. We should not make any
# blocking calls after this. Otherwise, the 'age' will be wrong.
time_now = self.clock.time_msec()
for context in contexts.values():
context["events_before"] = self._event_serializer.serialize_events(
context["events_before"], time_now, bundle_aggregations=aggregations # type: ignore[arg-type]
)
context["events_after"] = self._event_serializer.serialize_events(
context["events_after"], time_now, bundle_aggregations=aggregations # type: ignore[arg-type]
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)
results = [
{
"rank": search_result.rank_map[e.event_id],
"result": self._event_serializer.serialize_event(
e, time_now, bundle_aggregations=aggregations
),
"context": contexts.get(e.event_id, {}),
}
for e in search_result.allowed_events
]
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rooms_cat_res: JsonDict = {
"results": results,
"count": search_result.count,
"highlights": list(search_result.highlights),
}
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if state_results:
rooms_cat_res["state"] = {
room_id: self._event_serializer.serialize_events(state_events, time_now)
for room_id, state_events in state_results.items()
}
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if search_result.room_groups and "room_id" in group_keys:
rooms_cat_res.setdefault("groups", {})[
"room_id"
] = search_result.room_groups
if sender_group and "sender" in group_keys:
rooms_cat_res.setdefault("groups", {})["sender"] = sender_group
if global_next_batch:
rooms_cat_res["next_batch"] = global_next_batch
return {"search_categories": {"room_events": rooms_cat_res}}
async def _search_by_rank(
self,
user: UserID,
room_ids: Collection[str],
search_term: str,
keys: Iterable[str],
search_filter: Filter,
) -> Tuple[_SearchResult, Dict[str, JsonDict]]:
"""
Performs a full text search for a user ordering by rank.
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.
Returns:
A tuple of:
The search results.
A map of sender ID to results.
"""
rank_map = {} # event_id -> rank of event
# Holds result of grouping by room, if applicable
room_groups: Dict[str, JsonDict] = {}
# Holds result of grouping by sender, if applicable
sender_group: Dict[str, JsonDict] = {}
search_result = await self.store.search_msgs(room_ids, search_term, keys)
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])
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events = await filter_events_for_client(
self.storage, user.to_string(), filtered_events
)
events.sort(key=lambda e: -rank_map[e.event_id])
allowed_events = events[: search_filter.limit]
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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])
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events = await filter_events_for_client(
self.storage, 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.
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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, user.to_string(), res.events_before
)
events_after = await filter_events_for_client(
self.storage, user.to_string(), res.events_after
)
context: JsonDict = {
"events_before": events_before,
"events_after": events_after,
"start": await now_token.copy_and_replace(
"room_key", res.start
).to_string(self.store),
"end": await now_token.copy_and_replace("room_key", res.end).to_string(
self.store
),
}
if include_profile:
senders = {
ev.sender
for ev in itertools.chain(events_before, [event], events_after)
}
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if events_after:
last_event_id = events_after[-1].event_id
else:
last_event_id = event.event_id
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state_filter = StateFilter.from_types(
[(EventTypes.Member, sender) for sender in senders]
)
state = await self.state_store.get_state_for_event(
last_event_id, state_filter
)
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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
}
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contexts[event.event_id] = context
return contexts