synapse-old/synapse/handlers/search.py

467 lines
17 KiB
Python

# -*- coding: utf-8 -*-
# Copyright 2015, 2016 OpenMarket 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 itertools
import logging
from unpaddedbase64 import decode_base64, encode_base64
from synapse.api.constants import EventTypes, Membership
from synapse.api.errors import NotFoundError, SynapseError
from synapse.api.filtering import Filter
from synapse.storage.state import StateFilter
from synapse.visibility import filter_events_for_client
from ._base import BaseHandler
logger = logging.getLogger(__name__)
class SearchHandler(BaseHandler):
def __init__(self, hs):
super(SearchHandler, self).__init__(hs)
self._event_serializer = hs.get_event_client_serializer()
self.storage = hs.get_storage()
self.state_store = self.storage.state
self.auth = hs.get_auth()
async def get_old_rooms_from_upgraded_room(self, room_id):
"""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 (str): id of the room to search through.
Returns:
Deferred[iterable[str]]: 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, content, batch=None):
"""Performs a full text search for a user.
Args:
user (UserID)
content (dict): Search parameters
batch (str): The next_batch parameter. Used for pagination.
Returns:
dict to be returned to the client with results of search
"""
if not self.hs.config.enable_search:
raise SynapseError(400, "Search is disabled on this homeserver")
batch_group = None
batch_group_key = None
batch_token = None
if batch:
try:
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")
logger.info(
"Search batch properties: %r, %r, %r",
batch_group,
batch_group_key,
batch_token,
)
logger.info("Search content: %s", content)
try:
room_cat = content["search_categories"]["room_events"]
# The actual thing to query in FTS
search_term = room_cat["search_term"]
# Which "keys" to search over in FTS query
keys = room_cat.get(
"keys", ["content.body", "content.name", "content.topic"]
)
# Filter to apply to results
filter_dict = room_cat.get("filter", {})
# What to order results by (impacts whether pagination can be doen)
order_by = room_cat.get("order_by", "rank")
# Return the current state of the rooms?
include_state = room_cat.get("include_state", False)
# Include context around each event?
event_context = room_cat.get("event_context", None)
# Group results together? May allow clients to paginate within a
# group
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")
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"},),
)
search_filter = Filter(filter_dict)
# 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}
# 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 = []
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":
room_ids.intersection_update({batch_group_key})
if not room_ids:
return {
"search_categories": {
"room_events": {"results": [], "count": 0, "highlights": []}
}
}
rank_map = {} # event_id -> rank of event
allowed_events = []
room_groups = {} # Holds result of grouping by room, if applicable
sender_group = {} # Holds result of grouping by sender, if applicable
# Holds the next_batch for the entire result set if one of those exists
global_next_batch = None
highlights = set()
count = None
if order_by == "rank":
search_result = await self.store.search_msgs(room_ids, search_term, keys)
count = search_result["count"]
if search_result["highlights"]:
highlights.update(search_result["highlights"])
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 = search_filter.filter([r["event"] for r in results])
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()]
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)
elif order_by == "recent":
room_events = []
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 = search_filter.filter([r["event"] for r in results])
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:
pagination_token = None
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"
)
)
allowed_events.extend(room_events)
else:
# We should never get here due to the guard earlier.
raise NotImplementedError()
logger.info("Found %d events to return", len(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:
now_token = await 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"]),
)
res["events_before"] = await filter_events_for_client(
self.storage, user.to_string(), res["events_before"]
)
res["events_after"] = await filter_events_for_client(
self.storage, user.to_string(), res["events_after"]
)
res["start"] = now_token.copy_and_replace(
"room_key", res["start"]
).to_string()
res["end"] = now_token.copy_and_replace(
"room_key", res["end"]
).to_string()
if include_profile:
senders = {
ev.sender
for ev in itertools.chain(
res["events_before"], [event], res["events_after"]
)
}
if res["events_after"]:
last_event_id = res["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_store.get_state_for_event(
last_event_id, state_filter
)
res["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] = res
else:
contexts = {}
# TODO: Add a limit
time_now = self.clock.time_msec()
for context in contexts.values():
context["events_before"] = await self._event_serializer.serialize_events(
context["events_before"], time_now
)
context["events_after"] = await self._event_serializer.serialize_events(
context["events_after"], time_now
)
state_results = {}
if include_state:
rooms = {e.room_id for e in allowed_events}
for room_id in rooms:
state = await self.state_handler.get_current_state(room_id)
state_results[room_id] = list(state.values())
state_results.values()
# We're now about to serialize the events. We should not make any
# blocking calls after this. Otherwise the 'age' will be wrong
results = []
for e in allowed_events:
results.append(
{
"rank": rank_map[e.event_id],
"result": (
await self._event_serializer.serialize_event(e, time_now)
),
"context": contexts.get(e.event_id, {}),
}
)
rooms_cat_res = {
"results": results,
"count": count,
"highlights": list(highlights),
}
if state_results:
s = {}
for room_id, state in state_results.items():
s[room_id] = await self._event_serializer.serialize_events(
state, time_now
)
rooms_cat_res["state"] = s
if room_groups and "room_id" in group_keys:
rooms_cat_res.setdefault("groups", {})["room_id"] = 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}}