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385 lines
13 KiB
385 lines
13 KiB
# -*- coding: utf-8 -*-
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# Copyright 2015 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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from twisted.internet import defer
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from ._base import BaseHandler
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from synapse.api.constants import Membership, EventTypes
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from synapse.api.filtering import Filter
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from synapse.api.errors import SynapseError
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from synapse.events.utils import serialize_event
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from unpaddedbase64 import decode_base64, encode_base64
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import itertools
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import logging
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logger = logging.getLogger(__name__)
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class SearchHandler(BaseHandler):
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def __init__(self, hs):
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super(SearchHandler, self).__init__(hs)
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@defer.inlineCallbacks
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def search(self, user, content, batch=None):
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"""Performs a full text search for a user.
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Args:
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user (UserID)
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content (dict): Search parameters
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batch (str): 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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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)
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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:
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raise SynapseError(400, "Invalid batch")
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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("keys", [
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"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 doen)
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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(
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"event_context", None
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)
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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(
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"before_limit", 5
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))
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after_limit = int(event_context.get(
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"after_limit", 5
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))
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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" % (set(group_keys) - {"room_id", "sender"},)
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)
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search_filter = Filter(filter_dict)
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# TODO: Search through left rooms too
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rooms = yield self.store.get_rooms_for_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 = set(r.room_id for r in rooms)
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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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defer.returnValue({
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"search_categories": {
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"room_events": {
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"results": [],
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"count": 0,
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"highlights": [],
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}
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}
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})
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rank_map = {} # event_id -> rank of event
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allowed_events = []
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room_groups = {} # Holds result of grouping by room, if applicable
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sender_group = {} # Holds result of grouping by sender, if applicable
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# Holds the next_batch for the entire result set if one of those exists
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global_next_batch = None
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highlights = set()
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if order_by == "rank":
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search_result = yield self.store.search_msgs(
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room_ids, search_term, keys
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)
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if search_result["highlights"]:
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highlights.update(search_result["highlights"])
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results = search_result["results"]
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results_map = {r["event"].event_id: r for r in results}
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rank_map.update({r["event"].event_id: r["rank"] for r in results})
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filtered_events = search_filter.filter([r["event"] for r in results])
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events = yield self._filter_events_for_client(
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user.to_string(), filtered_events
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)
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events.sort(key=lambda e: -rank_map[e.event_id])
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allowed_events = events[:search_filter.limit()]
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for e in allowed_events:
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rm = room_groups.setdefault(e.room_id, {
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"results": [],
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"order": rank_map[e.event_id],
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})
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rm["results"].append(e.event_id)
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s = sender_group.setdefault(e.sender, {
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"results": [],
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"order": rank_map[e.event_id],
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})
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s["results"].append(e.event_id)
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elif order_by == "recent":
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room_events = []
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i = 0
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pagination_token = batch_token
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# We keep looping and we keep filtering until we reach the limit
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# or we run out of things.
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# But only go around 5 times since otherwise synapse will be sad.
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while len(room_events) < search_filter.limit() and i < 5:
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i += 1
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search_result = yield self.store.search_rooms(
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room_ids, search_term, keys, search_filter.limit() * 2,
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pagination_token=pagination_token,
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)
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if search_result["highlights"]:
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highlights.update(search_result["highlights"])
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results = search_result["results"]
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results_map = {r["event"].event_id: r for r in results}
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rank_map.update({r["event"].event_id: r["rank"] for r in results})
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filtered_events = search_filter.filter([
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r["event"] for r in results
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])
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events = yield self._filter_events_for_client(
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user.to_string(), filtered_events
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)
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room_events.extend(events)
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room_events = room_events[:search_filter.limit()]
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if len(results) < search_filter.limit() * 2:
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pagination_token = None
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break
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else:
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pagination_token = results[-1]["pagination_token"]
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for event in room_events:
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group = room_groups.setdefault(event.room_id, {
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"results": [],
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})
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group["results"].append(event.event_id)
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if room_events and len(room_events) >= search_filter.limit():
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last_event_id = room_events[-1].event_id
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pagination_token = results_map[last_event_id]["pagination_token"]
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# We want to respect the given batch group and group keys so
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# that if people blindly use the top level `next_batch` token
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# it returns more from the same group (if applicable) rather
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# than reverting to searching all results again.
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if batch_group and batch_group_key:
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global_next_batch = encode_base64("%s\n%s\n%s" % (
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batch_group, batch_group_key, pagination_token
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))
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else:
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global_next_batch = encode_base64("%s\n%s\n%s" % (
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"all", "", pagination_token
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))
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for room_id, group in room_groups.items():
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group["next_batch"] = encode_base64("%s\n%s\n%s" % (
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"room_id", room_id, pagination_token
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))
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allowed_events.extend(room_events)
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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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# 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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now_token = yield self.hs.get_event_sources().get_current_token()
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contexts = {}
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for event in allowed_events:
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res = yield self.store.get_events_around(
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event.room_id, event.event_id, before_limit, after_limit
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)
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res["events_before"] = yield self._filter_events_for_client(
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user.to_string(), res["events_before"]
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)
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res["events_after"] = yield self._filter_events_for_client(
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user.to_string(), res["events_after"]
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)
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res["start"] = now_token.copy_and_replace(
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"room_key", res["start"]
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).to_string()
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res["end"] = now_token.copy_and_replace(
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"room_key", res["end"]
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).to_string()
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if include_profile:
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senders = set(
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ev.sender
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for ev in itertools.chain(
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res["events_before"], [event], res["events_after"]
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)
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)
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if res["events_after"]:
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last_event_id = res["events_after"][-1].event_id
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else:
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last_event_id = event.event_id
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state = yield self.store.get_state_for_event(
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last_event_id,
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types=[(EventTypes.Member, sender) for sender in senders]
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)
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res["profile_info"] = {
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s.state_key: {
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"displayname": s.content.get("displayname", None),
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"avatar_url": s.content.get("avatar_url", None),
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}
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for s in state.values()
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if s.type == EventTypes.Member and s.state_key in senders
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}
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contexts[event.event_id] = res
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else:
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contexts = {}
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# TODO: Add a limit
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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"] = [
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serialize_event(e, time_now)
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for e in context["events_before"]
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]
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context["events_after"] = [
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serialize_event(e, time_now)
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for e in context["events_after"]
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]
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state_results = {}
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if include_state:
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rooms = set(e.room_id for e in allowed_events)
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for room_id in rooms:
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state = yield self.state_handler.get_current_state(room_id)
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state_results[room_id] = state.values()
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state_results.values()
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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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results = [
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{
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"rank": rank_map[e.event_id],
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"result": serialize_event(e, time_now),
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"context": contexts.get(e.event_id, {}),
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}
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for e in allowed_events
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]
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rooms_cat_res = {
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"results": results,
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"count": len(results),
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"highlights": list(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: [serialize_event(e, time_now) for e in state]
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for room_id, state in state_results.items()
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}
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if room_groups and "room_id" in group_keys:
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rooms_cat_res.setdefault("groups", {})["room_id"] = 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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defer.returnValue({
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"search_categories": {
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"room_events": rooms_cat_res
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}
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})
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