mirror of
https://mau.dev/maunium/synapse.git
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84 lines
2.6 KiB
Python
84 lines
2.6 KiB
Python
# Copyright 2019 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 typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple
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import attr
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from synapse.api.errors import SynapseError
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from synapse.types import JsonDict
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if TYPE_CHECKING:
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from synapse.storage.databases.main import DataStore
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logger = logging.getLogger(__name__)
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@attr.s(slots=True, auto_attribs=True)
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class PaginationChunk:
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"""Returned by relation pagination APIs.
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Attributes:
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chunk: The rows returned by pagination
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next_batch: Token to fetch next set of results with, if
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None then there are no more results.
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prev_batch: Token to fetch previous set of results with, if
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None then there are no previous results.
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"""
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chunk: List[JsonDict]
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next_batch: Optional[Any] = None
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prev_batch: Optional[Any] = None
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async def to_dict(self, store: "DataStore") -> Dict[str, Any]:
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d = {"chunk": self.chunk}
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if self.next_batch:
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d["next_batch"] = await self.next_batch.to_string(store)
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if self.prev_batch:
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d["prev_batch"] = await self.prev_batch.to_string(store)
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return d
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@attr.s(frozen=True, slots=True, auto_attribs=True)
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class AggregationPaginationToken:
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"""Pagination token for relation aggregation pagination API.
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As the results are order by count and then MAX(stream_ordering) of the
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aggregation groups, we can just use them as our pagination token.
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Attributes:
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count: The count of relations in the boundary group.
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stream: The MAX stream ordering in the boundary group.
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"""
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count: int
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stream: int
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@staticmethod
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def from_string(string: str) -> "AggregationPaginationToken":
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try:
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c, s = string.split("-")
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return AggregationPaginationToken(int(c), int(s))
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except ValueError:
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raise SynapseError(400, "Invalid aggregation pagination token")
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async def to_string(self, store: "DataStore") -> str:
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return "%d-%d" % (self.count, self.stream)
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def as_tuple(self) -> Tuple[Any, ...]:
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return attr.astuple(self)
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