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Add simple pagination API
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3 changed files with 160 additions and 0 deletions
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@ -15,13 +15,93 @@
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import logging
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import attr
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from synapse.api.constants import RelationTypes
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from synapse.storage._base import SQLBaseStore
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logger = logging.getLogger(__name__)
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@attr.s
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class PaginationChunk(object):
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"""Returned by relation pagination APIs.
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Attributes:
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chunk (list): The rows returned by pagination
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"""
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chunk = attr.ib()
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def to_dict(self):
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d = {"chunk": self.chunk}
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return d
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class RelationsStore(SQLBaseStore):
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def get_relations_for_event(
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self, event_id, relation_type=None, event_type=None, limit=5, direction="b"
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):
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"""Get a list of relations for an event, ordered by topological ordering.
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Args:
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event_id (str): Fetch events that relate to this event ID.
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relation_type (str|None): Only fetch events with this relation
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type, if given.
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event_type (str|None): Only fetch events with this event type, if
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given.
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limit (int): Only fetch the most recent `limit` events.
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direction (str): Whether to fetch the most recent first (`"b"`) or
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the oldest first (`"f"`).
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Returns:
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Deferred[PaginationChunk]: List of event IDs that match relations
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requested. The rows are of the form `{"event_id": "..."}`.
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"""
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# TODO: Pagination tokens
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where_clause = ["relates_to_id = ?"]
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where_args = [event_id]
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if relation_type:
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where_clause.append("relation_type = ?")
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where_args.append(relation_type)
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if event_type:
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where_clause.append("type = ?")
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where_args.append(event_type)
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order = "ASC"
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if direction == "b":
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order = "DESC"
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sql = """
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SELECT event_id FROM event_relations
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INNER JOIN events USING (event_id)
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WHERE %s
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ORDER BY topological_ordering %s, stream_ordering %s
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LIMIT ?
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""" % (
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" AND ".join(where_clause),
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order,
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order,
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)
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def _get_recent_references_for_event_txn(txn):
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txn.execute(sql, where_args + [limit + 1])
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events = [{"event_id": row[0]} for row in txn]
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return PaginationChunk(
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chunk=list(events[:limit]),
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)
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return self.runInteraction(
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"get_recent_references_for_event", _get_recent_references_for_event_txn
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)
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def _handle_event_relations(self, txn, event):
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"""Handles inserting relation data during peristence of events
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