mirror of
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synced 2024-12-17 01:44:19 -05:00
Batch fetch bundled annotations (#14491)
Avoid an n+1 query problem and fetch the bundled aggregations for m.annotation relations in a single query instead of a query per event. This applies similar logic for as was previously done for edits in8b309adb43
(#11660) and threads inb65acead42
(#11752).
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1
changelog.d/14491.feature
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1
changelog.d/14491.feature
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@ -0,0 +1 @@
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Reduce database load of [Client-Server endpoints](https://spec.matrix.org/v1.4/client-server-api/#aggregations) which return bundled aggregations.
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@ -13,7 +13,16 @@
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# limitations under the License.
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# limitations under the License.
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import enum
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import enum
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import logging
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import logging
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from typing import TYPE_CHECKING, Dict, FrozenSet, Iterable, List, Optional, Tuple
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from typing import (
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TYPE_CHECKING,
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Collection,
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Dict,
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FrozenSet,
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Iterable,
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List,
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Optional,
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Tuple,
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)
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import attr
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import attr
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@ -259,48 +268,64 @@ class RelationsHandler:
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e.msg,
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e.msg,
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)
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)
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async def get_annotations_for_event(
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async def get_annotations_for_events(
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self,
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self, event_ids: Collection[str], ignored_users: FrozenSet[str] = frozenset()
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event_id: str,
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) -> Dict[str, List[JsonDict]]:
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room_id: str,
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"""Get a list of annotations to the given events, grouped by event type and
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limit: int = 5,
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ignored_users: FrozenSet[str] = frozenset(),
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) -> List[JsonDict]:
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"""Get a list of annotations on the event, grouped by event type and
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aggregation key, sorted by count.
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aggregation key, sorted by count.
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This is used e.g. to get the what and how many reactions have happend
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This is used e.g. to get the what and how many reactions have happened
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on an event.
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on an event.
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Args:
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Args:
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event_id: Fetch events that relate to this event ID.
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event_ids: Fetch events that relate to these event IDs.
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room_id: The room the event belongs to.
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limit: Only fetch the `limit` groups.
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ignored_users: The users ignored by the requesting user.
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ignored_users: The users ignored by the requesting user.
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Returns:
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Returns:
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List of groups of annotations that match. Each row is a dict with
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A map of event IDs to a list of groups of annotations that match.
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`type`, `key` and `count` fields.
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Each entry is a dict with `type`, `key` and `count` fields.
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"""
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"""
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# Get the base results for all users.
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# Get the base results for all users.
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full_results = await self._main_store.get_aggregation_groups_for_event(
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full_results = await self._main_store.get_aggregation_groups_for_events(
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event_id, room_id, limit
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event_ids
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)
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)
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# Avoid additional logic if there are no ignored users.
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if not ignored_users:
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return {
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event_id: results
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for event_id, results in full_results.items()
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if results
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}
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# Then subtract off the results for any ignored users.
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# Then subtract off the results for any ignored users.
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ignored_results = await self._main_store.get_aggregation_groups_for_users(
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ignored_results = await self._main_store.get_aggregation_groups_for_users(
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event_id, room_id, limit, ignored_users
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[event_id for event_id, results in full_results.items() if results],
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ignored_users,
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)
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)
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filtered_results = []
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filtered_results = {}
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for result in full_results:
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for event_id, results in full_results.items():
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# If no annotations, skip.
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if not results:
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continue
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# If there are not ignored results for this event, copy verbatim.
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if event_id not in ignored_results:
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filtered_results[event_id] = results
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continue
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# Otherwise, subtract out the ignored results.
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event_ignored_results = ignored_results[event_id]
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for result in results:
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key = (result["type"], result["key"])
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key = (result["type"], result["key"])
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if key in ignored_results:
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if key in event_ignored_results:
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# Ensure to not modify the cache.
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result = result.copy()
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result = result.copy()
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result["count"] -= ignored_results[key]
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result["count"] -= event_ignored_results[key]
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if result["count"] <= 0:
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if result["count"] <= 0:
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continue
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continue
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filtered_results.append(result)
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filtered_results.setdefault(event_id, []).append(result)
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return filtered_results
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return filtered_results
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@ -366,7 +391,10 @@ class RelationsHandler:
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results = {}
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results = {}
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for event_id, summary in summaries.items():
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for event_id, summary in summaries.items():
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if summary:
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# If no thread, skip.
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if not summary:
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continue
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thread_count, latest_thread_event = summary
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thread_count, latest_thread_event = summary
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# Subtract off the count of any ignored users.
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# Subtract off the count of any ignored users.
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@ -496,17 +524,18 @@ class RelationsHandler:
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# (as that is what makes it part of the thread).
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# (as that is what makes it part of the thread).
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relations_by_id[latest_thread_event.event_id] = RelationTypes.THREAD
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relations_by_id[latest_thread_event.event_id] = RelationTypes.THREAD
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# Fetch any annotations (ie, reactions) to bundle with this event.
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annotations_by_event_id = await self.get_annotations_for_events(
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events_by_id.keys(), ignored_users=ignored_users
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)
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for event_id, annotations in annotations_by_event_id.items():
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if annotations:
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results.setdefault(event_id, BundledAggregations()).annotations = {
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"chunk": annotations
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}
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# Fetch other relations per event.
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# Fetch other relations per event.
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for event in events_by_id.values():
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for event in events_by_id.values():
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# Fetch any annotations (ie, reactions) to bundle with this event.
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annotations = await self.get_annotations_for_event(
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event.event_id, event.room_id, ignored_users=ignored_users
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)
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if annotations:
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results.setdefault(
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event.event_id, BundledAggregations()
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).annotations = {"chunk": annotations}
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# Fetch any references to bundle with this event.
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# Fetch any references to bundle with this event.
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references, next_token = await self.get_relations_for_event(
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references, next_token = await self.get_relations_for_event(
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event.event_id,
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event.event_id,
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@ -20,6 +20,7 @@ from typing import (
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FrozenSet,
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FrozenSet,
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Iterable,
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Iterable,
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List,
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List,
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Mapping,
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Optional,
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Optional,
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Set,
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Set,
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Tuple,
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Tuple,
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@ -394,106 +395,136 @@ class RelationsWorkerStore(SQLBaseStore):
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)
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)
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return result is not None
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return result is not None
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@cached(tree=True)
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@cached()
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async def get_aggregation_groups_for_event(
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async def get_aggregation_groups_for_event(self, event_id: str) -> List[JsonDict]:
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self, event_id: str, room_id: str, limit: int = 5
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raise NotImplementedError()
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) -> List[JsonDict]:
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"""Get a list of annotations on the event, grouped by event type and
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@cachedList(
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cached_method_name="get_aggregation_groups_for_event", list_name="event_ids"
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)
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async def get_aggregation_groups_for_events(
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self, event_ids: Collection[str]
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) -> Mapping[str, Optional[List[JsonDict]]]:
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"""Get a list of annotations on the given events, grouped by event type and
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aggregation key, sorted by count.
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aggregation key, sorted by count.
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This is used e.g. to get the what and how many reactions have happend
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This is used e.g. to get the what and how many reactions have happend
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on an event.
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on an event.
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Args:
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Args:
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event_id: Fetch events that relate to this event ID.
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event_ids: Fetch events that relate to these event IDs.
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room_id: The room the event belongs to.
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limit: Only fetch the `limit` groups.
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Returns:
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Returns:
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List of groups of annotations that match. Each row is a dict with
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A map of event IDs to a list of groups of annotations that match.
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`type`, `key` and `count` fields.
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Each entry is a dict with `type`, `key` and `count` fields.
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"""
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# The number of entries to return per event ID.
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limit = 5
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clause, args = make_in_list_sql_clause(
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self.database_engine, "relates_to_id", event_ids
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)
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args.append(RelationTypes.ANNOTATION)
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sql = f"""
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SELECT
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relates_to_id,
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annotation.type,
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aggregation_key,
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COUNT(DISTINCT annotation.sender)
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FROM events AS annotation
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INNER JOIN event_relations USING (event_id)
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INNER JOIN events AS parent ON
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parent.event_id = relates_to_id
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AND parent.room_id = annotation.room_id
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WHERE
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{clause}
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AND relation_type = ?
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GROUP BY relates_to_id, annotation.type, aggregation_key
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ORDER BY relates_to_id, COUNT(*) DESC
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"""
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"""
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args = [
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def _get_aggregation_groups_for_events_txn(
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event_id,
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room_id,
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RelationTypes.ANNOTATION,
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limit,
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]
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sql = """
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SELECT type, aggregation_key, COUNT(DISTINCT sender)
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FROM event_relations
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INNER JOIN events USING (event_id)
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WHERE relates_to_id = ? AND room_id = ? AND relation_type = ?
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GROUP BY relation_type, type, aggregation_key
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ORDER BY COUNT(*) DESC
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LIMIT ?
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"""
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def _get_aggregation_groups_for_event_txn(
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txn: LoggingTransaction,
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txn: LoggingTransaction,
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) -> List[JsonDict]:
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) -> Mapping[str, List[JsonDict]]:
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txn.execute(sql, args)
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txn.execute(sql, args)
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return [{"type": row[0], "key": row[1], "count": row[2]} for row in txn]
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result: Dict[str, List[JsonDict]] = {}
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for event_id, type, key, count in cast(
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List[Tuple[str, str, str, int]], txn
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):
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event_results = result.setdefault(event_id, [])
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# Limit the number of results per event ID.
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if len(event_results) == limit:
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continue
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event_results.append({"type": type, "key": key, "count": count})
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return result
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return await self.db_pool.runInteraction(
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return await self.db_pool.runInteraction(
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"get_aggregation_groups_for_event", _get_aggregation_groups_for_event_txn
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"get_aggregation_groups_for_events", _get_aggregation_groups_for_events_txn
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)
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)
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async def get_aggregation_groups_for_users(
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async def get_aggregation_groups_for_users(
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self,
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self, event_ids: Collection[str], users: FrozenSet[str]
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event_id: str,
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) -> Dict[str, Dict[Tuple[str, str], int]]:
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room_id: str,
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limit: int,
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users: FrozenSet[str] = frozenset(),
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) -> Dict[Tuple[str, str], int]:
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"""Fetch the partial aggregations for an event for specific users.
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"""Fetch the partial aggregations for an event for specific users.
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This is used, in conjunction with get_aggregation_groups_for_event, to
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This is used, in conjunction with get_aggregation_groups_for_event, to
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remove information from the results for ignored users.
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remove information from the results for ignored users.
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Args:
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Args:
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event_id: Fetch events that relate to this event ID.
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event_ids: Fetch events that relate to these event IDs.
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room_id: The room the event belongs to.
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limit: Only fetch the `limit` groups.
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users: The users to fetch information for.
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users: The users to fetch information for.
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Returns:
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Returns:
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A map of (event type, aggregation key) to a count of users.
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A map of event ID to a map of (event type, aggregation key) to a
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count of users.
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"""
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"""
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if not users:
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if not users:
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return {}
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return {}
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args: List[Union[str, int]] = [
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events_sql, args = make_in_list_sql_clause(
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event_id,
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self.database_engine, "relates_to_id", event_ids
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room_id,
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)
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RelationTypes.ANNOTATION,
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]
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users_sql, users_args = make_in_list_sql_clause(
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users_sql, users_args = make_in_list_sql_clause(
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self.database_engine, "sender", users
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self.database_engine, "annotation.sender", users
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)
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)
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args.extend(users_args)
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args.extend(users_args)
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args.append(RelationTypes.ANNOTATION)
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sql = f"""
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sql = f"""
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SELECT type, aggregation_key, COUNT(DISTINCT sender)
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SELECT
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FROM event_relations
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relates_to_id,
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INNER JOIN events USING (event_id)
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annotation.type,
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WHERE relates_to_id = ? AND room_id = ? AND relation_type = ? AND {users_sql}
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aggregation_key,
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GROUP BY relation_type, type, aggregation_key
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COUNT(DISTINCT annotation.sender)
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ORDER BY COUNT(*) DESC
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FROM events AS annotation
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LIMIT ?
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INNER JOIN event_relations USING (event_id)
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INNER JOIN events AS parent ON
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parent.event_id = relates_to_id
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AND parent.room_id = annotation.room_id
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WHERE {events_sql} AND {users_sql} AND relation_type = ?
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GROUP BY relates_to_id, annotation.type, aggregation_key
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ORDER BY relates_to_id, COUNT(*) DESC
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"""
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"""
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def _get_aggregation_groups_for_users_txn(
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def _get_aggregation_groups_for_users_txn(
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txn: LoggingTransaction,
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txn: LoggingTransaction,
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) -> Dict[Tuple[str, str], int]:
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) -> Dict[str, Dict[Tuple[str, str], int]]:
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txn.execute(sql, args + [limit])
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txn.execute(sql, args)
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|
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return {(row[0], row[1]): row[2] for row in txn}
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result: Dict[str, Dict[Tuple[str, str], int]] = {}
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for event_id, type, key, count in cast(
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List[Tuple[str, str, str, int]], txn
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):
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result.setdefault(event_id, {})[(type, key)] = count
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return result
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return await self.db_pool.runInteraction(
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return await self.db_pool.runInteraction(
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"get_aggregation_groups_for_users", _get_aggregation_groups_for_users_txn
|
"get_aggregation_groups_for_users", _get_aggregation_groups_for_users_txn
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@ -503,7 +503,7 @@ def cachedList(
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is specified as a list that is iterated through to lookup keys in the
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is specified as a list that is iterated through to lookup keys in the
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original cache. A new tuple consisting of the (deduplicated) keys that weren't in
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original cache. A new tuple consisting of the (deduplicated) keys that weren't in
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the cache gets passed to the original function, which is expected to results
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the cache gets passed to the original function, which is expected to results
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in a map of key to value for each passed value. THe new results are stored in the
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in a map of key to value for each passed value. The new results are stored in the
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original cache. Note that any missing values are cached as None.
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original cache. Note that any missing values are cached as None.
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|
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Args:
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Args:
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|
@ -1108,7 +1108,7 @@ class BundledAggregationsTestCase(BaseRelationsTestCase):
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|
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# The "user" sent the root event and is making queries for the bundled
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# The "user" sent the root event and is making queries for the bundled
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# aggregations: they have participated.
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# aggregations: they have participated.
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self._test_bundled_aggregations(RelationTypes.THREAD, _gen_assert(True), 9)
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self._test_bundled_aggregations(RelationTypes.THREAD, _gen_assert(True), 8)
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# The "user2" sent replies in the thread and is making queries for the
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# The "user2" sent replies in the thread and is making queries for the
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# bundled aggregations: they have participated.
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# bundled aggregations: they have participated.
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#
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#
|
||||||
@ -1170,7 +1170,7 @@ class BundledAggregationsTestCase(BaseRelationsTestCase):
|
|||||||
bundled_aggregations["latest_event"].get("unsigned"),
|
bundled_aggregations["latest_event"].get("unsigned"),
|
||||||
)
|
)
|
||||||
|
|
||||||
self._test_bundled_aggregations(RelationTypes.THREAD, assert_thread, 9)
|
self._test_bundled_aggregations(RelationTypes.THREAD, assert_thread, 8)
|
||||||
|
|
||||||
def test_nested_thread(self) -> None:
|
def test_nested_thread(self) -> None:
|
||||||
"""
|
"""
|
||||||
|
Loading…
Reference in New Issue
Block a user