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ac11fcbbb8
The idea is to remove some of the places we pass around `int`, where it can represent one of two things: 1. the position of an event in the stream; or 2. a token that partitions the stream, used as part of the stream tokens. The valid operations are then: 1. did a position happen before or after a token; 2. get all events that happened before or after a token; and 3. get all events between two tokens. (Note that we don't want to allow other operations as we want to change the tokens to be vector clocks rather than simple ints)
40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2014-2016 OpenMarket Ltd
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# Copyright 2018 New Vector Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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from collections import namedtuple
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logger = logging.getLogger(__name__)
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RoomsForUser = namedtuple(
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"RoomsForUser", ("room_id", "sender", "membership", "event_id", "stream_ordering")
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)
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GetRoomsForUserWithStreamOrdering = namedtuple(
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"_GetRoomsForUserWithStreamOrdering", ("room_id", "event_pos")
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)
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# We store this using a namedtuple so that we save about 3x space over using a
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# dict.
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ProfileInfo = namedtuple("ProfileInfo", ("avatar_url", "display_name"))
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# "members" points to a truncated list of (user_id, event_id) tuples for users of
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# a given membership type, suitable for use in calculating heroes for a room.
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# "count" points to the total numberr of users of a given membership type.
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MemberSummary = namedtuple("MemberSummary", ("members", "count"))
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