Remove sqlalchemy lambda_stmt usage from history, logbook, and statistics (#73191)
parent
bc7cf1f649
commit
d63569da82
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@ -2,8 +2,9 @@
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from __future__ import annotations
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from datetime import datetime as dt
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import json
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from sqlalchemy.sql.lambdas import StatementLambdaElement
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from sqlalchemy.sql.selectable import Select
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from homeassistant.components.recorder.filters import Filters
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@ -21,7 +22,7 @@ def statement_for_request(
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device_ids: list[str] | None = None,
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filters: Filters | None = None,
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context_id: str | None = None,
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) -> StatementLambdaElement:
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) -> Select:
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"""Generate the logbook statement for a logbook request."""
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# No entities: logbook sends everything for the timeframe
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@ -38,41 +39,36 @@ def statement_for_request(
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context_id,
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)
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# sqlalchemy caches object quoting, the
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# json quotable ones must be a different
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# object from the non-json ones to prevent
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# sqlalchemy from quoting them incorrectly
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# entities and devices: logbook sends everything for the timeframe for the entities and devices
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if entity_ids and device_ids:
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json_quotable_entity_ids = list(entity_ids)
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json_quotable_device_ids = list(device_ids)
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json_quoted_entity_ids = [json.dumps(entity_id) for entity_id in entity_ids]
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json_quoted_device_ids = [json.dumps(device_id) for device_id in device_ids]
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return entities_devices_stmt(
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start_day,
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end_day,
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event_types,
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entity_ids,
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json_quotable_entity_ids,
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json_quotable_device_ids,
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json_quoted_entity_ids,
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json_quoted_device_ids,
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)
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# entities: logbook sends everything for the timeframe for the entities
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if entity_ids:
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json_quotable_entity_ids = list(entity_ids)
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json_quoted_entity_ids = [json.dumps(entity_id) for entity_id in entity_ids]
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return entities_stmt(
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start_day,
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end_day,
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event_types,
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entity_ids,
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json_quotable_entity_ids,
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json_quoted_entity_ids,
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)
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# devices: logbook sends everything for the timeframe for the devices
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assert device_ids is not None
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json_quotable_device_ids = list(device_ids)
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json_quoted_device_ids = [json.dumps(device_id) for device_id in device_ids]
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return devices_stmt(
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start_day,
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end_day,
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event_types,
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json_quotable_device_ids,
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json_quoted_device_ids,
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)
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@ -3,10 +3,9 @@ from __future__ import annotations
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from datetime import datetime as dt
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from sqlalchemy import lambda_stmt
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from sqlalchemy.orm import Query
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from sqlalchemy.sql.elements import ClauseList
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from sqlalchemy.sql.lambdas import StatementLambdaElement
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from sqlalchemy.sql.selectable import Select
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from homeassistant.components.recorder.models import LAST_UPDATED_INDEX, Events, States
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@ -25,32 +24,29 @@ def all_stmt(
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states_entity_filter: ClauseList | None = None,
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events_entity_filter: ClauseList | None = None,
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context_id: str | None = None,
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) -> StatementLambdaElement:
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) -> Select:
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"""Generate a logbook query for all entities."""
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stmt = lambda_stmt(
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lambda: select_events_without_states(start_day, end_day, event_types)
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)
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stmt = select_events_without_states(start_day, end_day, event_types)
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if context_id is not None:
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# Once all the old `state_changed` events
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# are gone from the database remove the
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# _legacy_select_events_context_id()
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stmt += lambda s: s.where(Events.context_id == context_id).union_all(
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stmt = stmt.where(Events.context_id == context_id).union_all(
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_states_query_for_context_id(start_day, end_day, context_id),
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legacy_select_events_context_id(start_day, end_day, context_id),
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)
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else:
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if events_entity_filter is not None:
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stmt += lambda s: s.where(events_entity_filter)
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stmt = stmt.where(events_entity_filter)
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if states_entity_filter is not None:
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stmt += lambda s: s.union_all(
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stmt = stmt.union_all(
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_states_query_for_all(start_day, end_day).where(states_entity_filter)
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)
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else:
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stmt += lambda s: s.union_all(_states_query_for_all(start_day, end_day))
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stmt = stmt.union_all(_states_query_for_all(start_day, end_day))
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stmt += lambda s: s.order_by(Events.time_fired)
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return stmt
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return stmt.order_by(Events.time_fired)
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def _states_query_for_all(start_day: dt, end_day: dt) -> Query:
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@ -4,11 +4,10 @@ from __future__ import annotations
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from collections.abc import Iterable
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from datetime import datetime as dt
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from sqlalchemy import lambda_stmt, select
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from sqlalchemy import select
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from sqlalchemy.orm import Query
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from sqlalchemy.sql.elements import ClauseList
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from sqlalchemy.sql.lambdas import StatementLambdaElement
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from sqlalchemy.sql.selectable import CTE, CompoundSelect
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from sqlalchemy.sql.selectable import CTE, CompoundSelect, Select
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from homeassistant.components.recorder.models import (
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DEVICE_ID_IN_EVENT,
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@ -31,11 +30,11 @@ def _select_device_id_context_ids_sub_query(
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start_day: dt,
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end_day: dt,
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event_types: tuple[str, ...],
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json_quotable_device_ids: list[str],
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json_quoted_device_ids: list[str],
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) -> CompoundSelect:
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"""Generate a subquery to find context ids for multiple devices."""
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inner = select_events_context_id_subquery(start_day, end_day, event_types).where(
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apply_event_device_id_matchers(json_quotable_device_ids)
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apply_event_device_id_matchers(json_quoted_device_ids)
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)
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return select(inner.c.context_id).group_by(inner.c.context_id)
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@ -45,14 +44,14 @@ def _apply_devices_context_union(
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start_day: dt,
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end_day: dt,
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event_types: tuple[str, ...],
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json_quotable_device_ids: list[str],
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json_quoted_device_ids: list[str],
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) -> CompoundSelect:
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"""Generate a CTE to find the device context ids and a query to find linked row."""
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devices_cte: CTE = _select_device_id_context_ids_sub_query(
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start_day,
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end_day,
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event_types,
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json_quotable_device_ids,
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json_quoted_device_ids,
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).cte()
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return query.union_all(
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apply_events_context_hints(
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@ -72,25 +71,22 @@ def devices_stmt(
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start_day: dt,
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end_day: dt,
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event_types: tuple[str, ...],
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json_quotable_device_ids: list[str],
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) -> StatementLambdaElement:
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json_quoted_device_ids: list[str],
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) -> Select:
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"""Generate a logbook query for multiple devices."""
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stmt = lambda_stmt(
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lambda: _apply_devices_context_union(
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select_events_without_states(start_day, end_day, event_types).where(
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apply_event_device_id_matchers(json_quotable_device_ids)
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),
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start_day,
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end_day,
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event_types,
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json_quotable_device_ids,
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).order_by(Events.time_fired)
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)
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return stmt
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return _apply_devices_context_union(
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select_events_without_states(start_day, end_day, event_types).where(
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apply_event_device_id_matchers(json_quoted_device_ids)
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),
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start_day,
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end_day,
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event_types,
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json_quoted_device_ids,
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).order_by(Events.time_fired)
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def apply_event_device_id_matchers(
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json_quotable_device_ids: Iterable[str],
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json_quoted_device_ids: Iterable[str],
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) -> ClauseList:
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"""Create matchers for the device_ids in the event_data."""
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return DEVICE_ID_IN_EVENT.in_(json_quotable_device_ids)
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return DEVICE_ID_IN_EVENT.in_(json_quoted_device_ids)
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@ -5,10 +5,9 @@ from collections.abc import Iterable
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from datetime import datetime as dt
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import sqlalchemy
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from sqlalchemy import lambda_stmt, select, union_all
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from sqlalchemy import select, union_all
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from sqlalchemy.orm import Query
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from sqlalchemy.sql.lambdas import StatementLambdaElement
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from sqlalchemy.sql.selectable import CTE, CompoundSelect
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from sqlalchemy.sql.selectable import CTE, CompoundSelect, Select
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from homeassistant.components.recorder.models import (
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ENTITY_ID_IN_EVENT,
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@ -36,12 +35,12 @@ def _select_entities_context_ids_sub_query(
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end_day: dt,
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event_types: tuple[str, ...],
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entity_ids: list[str],
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json_quotable_entity_ids: list[str],
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json_quoted_entity_ids: list[str],
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) -> CompoundSelect:
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"""Generate a subquery to find context ids for multiple entities."""
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union = union_all(
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select_events_context_id_subquery(start_day, end_day, event_types).where(
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apply_event_entity_id_matchers(json_quotable_entity_ids)
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apply_event_entity_id_matchers(json_quoted_entity_ids)
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),
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apply_entities_hints(select(States.context_id))
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.filter((States.last_updated > start_day) & (States.last_updated < end_day))
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@ -56,7 +55,7 @@ def _apply_entities_context_union(
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end_day: dt,
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event_types: tuple[str, ...],
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entity_ids: list[str],
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json_quotable_entity_ids: list[str],
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json_quoted_entity_ids: list[str],
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) -> CompoundSelect:
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"""Generate a CTE to find the entity and device context ids and a query to find linked row."""
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entities_cte: CTE = _select_entities_context_ids_sub_query(
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@ -64,7 +63,7 @@ def _apply_entities_context_union(
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end_day,
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event_types,
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entity_ids,
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json_quotable_entity_ids,
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json_quoted_entity_ids,
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).cte()
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# We used to optimize this to exclude rows we already in the union with
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# a States.entity_id.not_in(entity_ids) but that made the
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@ -91,21 +90,19 @@ def entities_stmt(
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end_day: dt,
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event_types: tuple[str, ...],
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entity_ids: list[str],
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json_quotable_entity_ids: list[str],
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) -> StatementLambdaElement:
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json_quoted_entity_ids: list[str],
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) -> Select:
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"""Generate a logbook query for multiple entities."""
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return lambda_stmt(
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lambda: _apply_entities_context_union(
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select_events_without_states(start_day, end_day, event_types).where(
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apply_event_entity_id_matchers(json_quotable_entity_ids)
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),
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start_day,
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end_day,
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event_types,
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entity_ids,
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json_quotable_entity_ids,
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).order_by(Events.time_fired)
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)
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return _apply_entities_context_union(
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select_events_without_states(start_day, end_day, event_types).where(
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apply_event_entity_id_matchers(json_quoted_entity_ids)
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),
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start_day,
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end_day,
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event_types,
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entity_ids,
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json_quoted_entity_ids,
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).order_by(Events.time_fired)
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def states_query_for_entity_ids(
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@ -118,12 +115,12 @@ def states_query_for_entity_ids(
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def apply_event_entity_id_matchers(
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json_quotable_entity_ids: Iterable[str],
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json_quoted_entity_ids: Iterable[str],
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) -> sqlalchemy.or_:
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"""Create matchers for the entity_id in the event_data."""
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return ENTITY_ID_IN_EVENT.in_(
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json_quotable_entity_ids
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) | OLD_ENTITY_ID_IN_EVENT.in_(json_quotable_entity_ids)
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return ENTITY_ID_IN_EVENT.in_(json_quoted_entity_ids) | OLD_ENTITY_ID_IN_EVENT.in_(
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json_quoted_entity_ids
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)
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def apply_entities_hints(query: Query) -> Query:
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@ -5,10 +5,9 @@ from collections.abc import Iterable
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from datetime import datetime as dt
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import sqlalchemy
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from sqlalchemy import lambda_stmt, select, union_all
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from sqlalchemy import select, union_all
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from sqlalchemy.orm import Query
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from sqlalchemy.sql.lambdas import StatementLambdaElement
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from sqlalchemy.sql.selectable import CTE, CompoundSelect
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from sqlalchemy.sql.selectable import CTE, CompoundSelect, Select
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from homeassistant.components.recorder.models import EventData, Events, States
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@ -33,14 +32,14 @@ def _select_entities_device_id_context_ids_sub_query(
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end_day: dt,
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event_types: tuple[str, ...],
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entity_ids: list[str],
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json_quotable_entity_ids: list[str],
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json_quotable_device_ids: list[str],
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json_quoted_entity_ids: list[str],
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json_quoted_device_ids: list[str],
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) -> CompoundSelect:
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"""Generate a subquery to find context ids for multiple entities and multiple devices."""
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union = union_all(
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select_events_context_id_subquery(start_day, end_day, event_types).where(
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_apply_event_entity_id_device_id_matchers(
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json_quotable_entity_ids, json_quotable_device_ids
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json_quoted_entity_ids, json_quoted_device_ids
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)
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),
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apply_entities_hints(select(States.context_id))
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@ -56,16 +55,16 @@ def _apply_entities_devices_context_union(
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end_day: dt,
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event_types: tuple[str, ...],
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entity_ids: list[str],
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json_quotable_entity_ids: list[str],
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json_quotable_device_ids: list[str],
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json_quoted_entity_ids: list[str],
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json_quoted_device_ids: list[str],
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) -> CompoundSelect:
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devices_entities_cte: CTE = _select_entities_device_id_context_ids_sub_query(
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start_day,
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end_day,
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event_types,
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entity_ids,
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json_quotable_entity_ids,
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json_quotable_device_ids,
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json_quoted_entity_ids,
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json_quoted_device_ids,
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).cte()
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# We used to optimize this to exclude rows we already in the union with
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# a States.entity_id.not_in(entity_ids) but that made the
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@ -92,32 +91,30 @@ def entities_devices_stmt(
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end_day: dt,
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event_types: tuple[str, ...],
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entity_ids: list[str],
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json_quotable_entity_ids: list[str],
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json_quotable_device_ids: list[str],
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) -> StatementLambdaElement:
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json_quoted_entity_ids: list[str],
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json_quoted_device_ids: list[str],
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) -> Select:
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"""Generate a logbook query for multiple entities."""
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stmt = lambda_stmt(
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lambda: _apply_entities_devices_context_union(
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select_events_without_states(start_day, end_day, event_types).where(
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_apply_event_entity_id_device_id_matchers(
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json_quotable_entity_ids, json_quotable_device_ids
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)
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),
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start_day,
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end_day,
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event_types,
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entity_ids,
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json_quotable_entity_ids,
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json_quotable_device_ids,
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).order_by(Events.time_fired)
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)
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stmt = _apply_entities_devices_context_union(
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select_events_without_states(start_day, end_day, event_types).where(
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_apply_event_entity_id_device_id_matchers(
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json_quoted_entity_ids, json_quoted_device_ids
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)
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),
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start_day,
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end_day,
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event_types,
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entity_ids,
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json_quoted_entity_ids,
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json_quoted_device_ids,
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).order_by(Events.time_fired)
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return stmt
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def _apply_event_entity_id_device_id_matchers(
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json_quotable_entity_ids: Iterable[str], json_quotable_device_ids: Iterable[str]
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json_quoted_entity_ids: Iterable[str], json_quoted_device_ids: Iterable[str]
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) -> sqlalchemy.or_:
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"""Create matchers for the device_id and entity_id in the event_data."""
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return apply_event_entity_id_matchers(
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json_quotable_entity_ids
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) | apply_event_device_id_matchers(json_quotable_device_ids)
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json_quoted_entity_ids
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) | apply_event_device_id_matchers(json_quoted_device_ids)
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@ -9,13 +9,11 @@ import logging
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import time
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from typing import Any, cast
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from sqlalchemy import Column, Text, and_, func, lambda_stmt, or_, select
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from sqlalchemy import Column, Text, and_, func, or_, select
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from sqlalchemy.engine.row import Row
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from sqlalchemy.orm.query import Query
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from sqlalchemy.orm.session import Session
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from sqlalchemy.sql.expression import literal
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from sqlalchemy.sql.lambdas import StatementLambdaElement
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from sqlalchemy.sql.selectable import Subquery
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from sqlalchemy.sql.selectable import Select, Subquery
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from homeassistant.components import recorder
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from homeassistant.components.websocket_api.const import (
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@ -36,7 +34,7 @@ from .models import (
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process_timestamp_to_utc_isoformat,
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row_to_compressed_state,
|
||||
)
|
||||
from .util import execute_stmt_lambda_element, session_scope
|
||||
from .util import execute_stmt, session_scope
|
||||
|
||||
# mypy: allow-untyped-defs, no-check-untyped-defs
|
||||
|
||||
|
@ -116,22 +114,18 @@ def _schema_version(hass: HomeAssistant) -> int:
|
|||
return recorder.get_instance(hass).schema_version
|
||||
|
||||
|
||||
def lambda_stmt_and_join_attributes(
|
||||
def stmt_and_join_attributes(
|
||||
schema_version: int, no_attributes: bool, include_last_changed: bool = True
|
||||
) -> tuple[StatementLambdaElement, bool]:
|
||||
"""Return the lambda_stmt and if StateAttributes should be joined.
|
||||
|
||||
Because these are lambda_stmt the values inside the lambdas need
|
||||
to be explicitly written out to avoid caching the wrong values.
|
||||
"""
|
||||
) -> tuple[Select, bool]:
|
||||
"""Return the stmt and if StateAttributes should be joined."""
|
||||
# If no_attributes was requested we do the query
|
||||
# without the attributes fields and do not join the
|
||||
# state_attributes table
|
||||
if no_attributes:
|
||||
if include_last_changed:
|
||||
return lambda_stmt(lambda: select(*QUERY_STATE_NO_ATTR)), False
|
||||
return select(*QUERY_STATE_NO_ATTR), False
|
||||
return (
|
||||
lambda_stmt(lambda: select(*QUERY_STATE_NO_ATTR_NO_LAST_CHANGED)),
|
||||
select(*QUERY_STATE_NO_ATTR_NO_LAST_CHANGED),
|
||||
False,
|
||||
)
|
||||
# If we in the process of migrating schema we do
|
||||
|
@ -140,19 +134,19 @@ def lambda_stmt_and_join_attributes(
|
|||
if schema_version < 25:
|
||||
if include_last_changed:
|
||||
return (
|
||||
lambda_stmt(lambda: select(*QUERY_STATES_PRE_SCHEMA_25)),
|
||||
select(*QUERY_STATES_PRE_SCHEMA_25),
|
||||
False,
|
||||
)
|
||||
return (
|
||||
lambda_stmt(lambda: select(*QUERY_STATES_PRE_SCHEMA_25_NO_LAST_CHANGED)),
|
||||
select(*QUERY_STATES_PRE_SCHEMA_25_NO_LAST_CHANGED),
|
||||
False,
|
||||
)
|
||||
# Finally if no migration is in progress and no_attributes
|
||||
# was not requested, we query both attributes columns and
|
||||
# join state_attributes
|
||||
if include_last_changed:
|
||||
return lambda_stmt(lambda: select(*QUERY_STATES)), True
|
||||
return lambda_stmt(lambda: select(*QUERY_STATES_NO_LAST_CHANGED)), True
|
||||
return select(*QUERY_STATES), True
|
||||
return select(*QUERY_STATES_NO_LAST_CHANGED), True
|
||||
|
||||
|
||||
def get_significant_states(
|
||||
|
@ -184,7 +178,7 @@ def get_significant_states(
|
|||
)
|
||||
|
||||
|
||||
def _ignore_domains_filter(query: Query) -> Query:
|
||||
def _ignore_domains_filter(query: Select) -> Select:
|
||||
"""Add a filter to ignore domains we do not fetch history for."""
|
||||
return query.filter(
|
||||
and_(
|
||||
|
@ -204,9 +198,9 @@ def _significant_states_stmt(
|
|||
filters: Filters | None,
|
||||
significant_changes_only: bool,
|
||||
no_attributes: bool,
|
||||
) -> StatementLambdaElement:
|
||||
) -> Select:
|
||||
"""Query the database for significant state changes."""
|
||||
stmt, join_attributes = lambda_stmt_and_join_attributes(
|
||||
stmt, join_attributes = stmt_and_join_attributes(
|
||||
schema_version, no_attributes, include_last_changed=not significant_changes_only
|
||||
)
|
||||
if (
|
||||
|
@ -215,11 +209,11 @@ def _significant_states_stmt(
|
|||
and significant_changes_only
|
||||
and split_entity_id(entity_ids[0])[0] not in SIGNIFICANT_DOMAINS
|
||||
):
|
||||
stmt += lambda q: q.filter(
|
||||
stmt = stmt.filter(
|
||||
(States.last_changed == States.last_updated) | States.last_changed.is_(None)
|
||||
)
|
||||
elif significant_changes_only:
|
||||
stmt += lambda q: q.filter(
|
||||
stmt = stmt.filter(
|
||||
or_(
|
||||
*[
|
||||
States.entity_id.like(entity_domain)
|
||||
|
@ -233,25 +227,22 @@ def _significant_states_stmt(
|
|||
)
|
||||
|
||||
if entity_ids:
|
||||
stmt += lambda q: q.filter(States.entity_id.in_(entity_ids))
|
||||
stmt = stmt.filter(States.entity_id.in_(entity_ids))
|
||||
else:
|
||||
stmt += _ignore_domains_filter
|
||||
stmt = _ignore_domains_filter(stmt)
|
||||
if filters and filters.has_config:
|
||||
entity_filter = filters.states_entity_filter()
|
||||
stmt = stmt.add_criteria(
|
||||
lambda q: q.filter(entity_filter), track_on=[filters]
|
||||
)
|
||||
stmt = stmt.filter(entity_filter)
|
||||
|
||||
stmt += lambda q: q.filter(States.last_updated > start_time)
|
||||
stmt = stmt.filter(States.last_updated > start_time)
|
||||
if end_time:
|
||||
stmt += lambda q: q.filter(States.last_updated < end_time)
|
||||
stmt = stmt.filter(States.last_updated < end_time)
|
||||
|
||||
if join_attributes:
|
||||
stmt += lambda q: q.outerjoin(
|
||||
stmt = stmt.outerjoin(
|
||||
StateAttributes, States.attributes_id == StateAttributes.attributes_id
|
||||
)
|
||||
stmt += lambda q: q.order_by(States.entity_id, States.last_updated)
|
||||
return stmt
|
||||
return stmt.order_by(States.entity_id, States.last_updated)
|
||||
|
||||
|
||||
def get_significant_states_with_session(
|
||||
|
@ -288,9 +279,7 @@ def get_significant_states_with_session(
|
|||
significant_changes_only,
|
||||
no_attributes,
|
||||
)
|
||||
states = execute_stmt_lambda_element(
|
||||
session, stmt, None if entity_ids else start_time, end_time
|
||||
)
|
||||
states = execute_stmt(session, stmt, None if entity_ids else start_time, end_time)
|
||||
return _sorted_states_to_dict(
|
||||
hass,
|
||||
session,
|
||||
|
@ -342,28 +331,28 @@ def _state_changed_during_period_stmt(
|
|||
no_attributes: bool,
|
||||
descending: bool,
|
||||
limit: int | None,
|
||||
) -> StatementLambdaElement:
|
||||
stmt, join_attributes = lambda_stmt_and_join_attributes(
|
||||
) -> Select:
|
||||
stmt, join_attributes = stmt_and_join_attributes(
|
||||
schema_version, no_attributes, include_last_changed=False
|
||||
)
|
||||
stmt += lambda q: q.filter(
|
||||
stmt = stmt.filter(
|
||||
((States.last_changed == States.last_updated) | States.last_changed.is_(None))
|
||||
& (States.last_updated > start_time)
|
||||
)
|
||||
if end_time:
|
||||
stmt += lambda q: q.filter(States.last_updated < end_time)
|
||||
stmt = stmt.filter(States.last_updated < end_time)
|
||||
if entity_id:
|
||||
stmt += lambda q: q.filter(States.entity_id == entity_id)
|
||||
stmt = stmt.filter(States.entity_id == entity_id)
|
||||
if join_attributes:
|
||||
stmt += lambda q: q.outerjoin(
|
||||
stmt = stmt.outerjoin(
|
||||
StateAttributes, States.attributes_id == StateAttributes.attributes_id
|
||||
)
|
||||
if descending:
|
||||
stmt += lambda q: q.order_by(States.entity_id, States.last_updated.desc())
|
||||
stmt = stmt.order_by(States.entity_id, States.last_updated.desc())
|
||||
else:
|
||||
stmt += lambda q: q.order_by(States.entity_id, States.last_updated)
|
||||
stmt = stmt.order_by(States.entity_id, States.last_updated)
|
||||
if limit:
|
||||
stmt += lambda q: q.limit(limit)
|
||||
stmt = stmt.limit(limit)
|
||||
return stmt
|
||||
|
||||
|
||||
|
@ -391,7 +380,7 @@ def state_changes_during_period(
|
|||
descending,
|
||||
limit,
|
||||
)
|
||||
states = execute_stmt_lambda_element(
|
||||
states = execute_stmt(
|
||||
session, stmt, None if entity_id else start_time, end_time
|
||||
)
|
||||
return cast(
|
||||
|
@ -409,23 +398,22 @@ def state_changes_during_period(
|
|||
|
||||
def _get_last_state_changes_stmt(
|
||||
schema_version: int, number_of_states: int, entity_id: str | None
|
||||
) -> StatementLambdaElement:
|
||||
stmt, join_attributes = lambda_stmt_and_join_attributes(
|
||||
) -> Select:
|
||||
stmt, join_attributes = stmt_and_join_attributes(
|
||||
schema_version, False, include_last_changed=False
|
||||
)
|
||||
stmt += lambda q: q.filter(
|
||||
stmt = stmt.filter(
|
||||
(States.last_changed == States.last_updated) | States.last_changed.is_(None)
|
||||
)
|
||||
if entity_id:
|
||||
stmt += lambda q: q.filter(States.entity_id == entity_id)
|
||||
stmt = stmt.filter(States.entity_id == entity_id)
|
||||
if join_attributes:
|
||||
stmt += lambda q: q.outerjoin(
|
||||
stmt = stmt.outerjoin(
|
||||
StateAttributes, States.attributes_id == StateAttributes.attributes_id
|
||||
)
|
||||
stmt += lambda q: q.order_by(States.entity_id, States.last_updated.desc()).limit(
|
||||
return stmt.order_by(States.entity_id, States.last_updated.desc()).limit(
|
||||
number_of_states
|
||||
)
|
||||
return stmt
|
||||
|
||||
|
||||
def get_last_state_changes(
|
||||
|
@ -440,7 +428,7 @@ def get_last_state_changes(
|
|||
stmt = _get_last_state_changes_stmt(
|
||||
_schema_version(hass), number_of_states, entity_id
|
||||
)
|
||||
states = list(execute_stmt_lambda_element(session, stmt))
|
||||
states = list(execute_stmt(session, stmt))
|
||||
return cast(
|
||||
MutableMapping[str, list[State]],
|
||||
_sorted_states_to_dict(
|
||||
|
@ -460,14 +448,14 @@ def _get_states_for_entites_stmt(
|
|||
utc_point_in_time: datetime,
|
||||
entity_ids: list[str],
|
||||
no_attributes: bool,
|
||||
) -> StatementLambdaElement:
|
||||
) -> Select:
|
||||
"""Baked query to get states for specific entities."""
|
||||
stmt, join_attributes = lambda_stmt_and_join_attributes(
|
||||
stmt, join_attributes = stmt_and_join_attributes(
|
||||
schema_version, no_attributes, include_last_changed=True
|
||||
)
|
||||
# We got an include-list of entities, accelerate the query by filtering already
|
||||
# in the inner query.
|
||||
stmt += lambda q: q.where(
|
||||
stmt = stmt.where(
|
||||
States.state_id
|
||||
== (
|
||||
select(func.max(States.state_id).label("max_state_id"))
|
||||
|
@ -481,7 +469,7 @@ def _get_states_for_entites_stmt(
|
|||
).c.max_state_id
|
||||
)
|
||||
if join_attributes:
|
||||
stmt += lambda q: q.outerjoin(
|
||||
stmt = stmt.outerjoin(
|
||||
StateAttributes, (States.attributes_id == StateAttributes.attributes_id)
|
||||
)
|
||||
return stmt
|
||||
|
@ -512,9 +500,9 @@ def _get_states_for_all_stmt(
|
|||
utc_point_in_time: datetime,
|
||||
filters: Filters | None,
|
||||
no_attributes: bool,
|
||||
) -> StatementLambdaElement:
|
||||
) -> Select:
|
||||
"""Baked query to get states for all entities."""
|
||||
stmt, join_attributes = lambda_stmt_and_join_attributes(
|
||||
stmt, join_attributes = stmt_and_join_attributes(
|
||||
schema_version, no_attributes, include_last_changed=True
|
||||
)
|
||||
# We did not get an include-list of entities, query all states in the inner
|
||||
|
@ -524,7 +512,7 @@ def _get_states_for_all_stmt(
|
|||
most_recent_states_by_date = _generate_most_recent_states_by_date(
|
||||
run_start, utc_point_in_time
|
||||
)
|
||||
stmt += lambda q: q.where(
|
||||
stmt = stmt.where(
|
||||
States.state_id
|
||||
== (
|
||||
select(func.max(States.state_id).label("max_state_id"))
|
||||
|
@ -540,12 +528,12 @@ def _get_states_for_all_stmt(
|
|||
.subquery()
|
||||
).c.max_state_id,
|
||||
)
|
||||
stmt += _ignore_domains_filter
|
||||
stmt = _ignore_domains_filter(stmt)
|
||||
if filters and filters.has_config:
|
||||
entity_filter = filters.states_entity_filter()
|
||||
stmt = stmt.add_criteria(lambda q: q.filter(entity_filter), track_on=[filters])
|
||||
stmt = stmt.filter(entity_filter)
|
||||
if join_attributes:
|
||||
stmt += lambda q: q.outerjoin(
|
||||
stmt = stmt.outerjoin(
|
||||
StateAttributes, (States.attributes_id == StateAttributes.attributes_id)
|
||||
)
|
||||
return stmt
|
||||
|
@ -563,7 +551,7 @@ def _get_rows_with_session(
|
|||
"""Return the states at a specific point in time."""
|
||||
schema_version = _schema_version(hass)
|
||||
if entity_ids and len(entity_ids) == 1:
|
||||
return execute_stmt_lambda_element(
|
||||
return execute_stmt(
|
||||
session,
|
||||
_get_single_entity_states_stmt(
|
||||
schema_version, utc_point_in_time, entity_ids[0], no_attributes
|
||||
|
@ -588,7 +576,7 @@ def _get_rows_with_session(
|
|||
schema_version, run.start, utc_point_in_time, filters, no_attributes
|
||||
)
|
||||
|
||||
return execute_stmt_lambda_element(session, stmt)
|
||||
return execute_stmt(session, stmt)
|
||||
|
||||
|
||||
def _get_single_entity_states_stmt(
|
||||
|
@ -596,14 +584,14 @@ def _get_single_entity_states_stmt(
|
|||
utc_point_in_time: datetime,
|
||||
entity_id: str,
|
||||
no_attributes: bool = False,
|
||||
) -> StatementLambdaElement:
|
||||
) -> Select:
|
||||
# Use an entirely different (and extremely fast) query if we only
|
||||
# have a single entity id
|
||||
stmt, join_attributes = lambda_stmt_and_join_attributes(
|
||||
stmt, join_attributes = stmt_and_join_attributes(
|
||||
schema_version, no_attributes, include_last_changed=True
|
||||
)
|
||||
stmt += (
|
||||
lambda q: q.filter(
|
||||
stmt = (
|
||||
stmt.filter(
|
||||
States.last_updated < utc_point_in_time,
|
||||
States.entity_id == entity_id,
|
||||
)
|
||||
|
@ -611,7 +599,7 @@ def _get_single_entity_states_stmt(
|
|||
.limit(1)
|
||||
)
|
||||
if join_attributes:
|
||||
stmt += lambda q: q.outerjoin(
|
||||
stmt = stmt.outerjoin(
|
||||
StateAttributes, States.attributes_id == StateAttributes.attributes_id
|
||||
)
|
||||
return stmt
|
||||
|
|
|
@ -14,13 +14,12 @@ import re
|
|||
from statistics import mean
|
||||
from typing import TYPE_CHECKING, Any, Literal, overload
|
||||
|
||||
from sqlalchemy import bindparam, func, lambda_stmt, select
|
||||
from sqlalchemy import bindparam, func, select
|
||||
from sqlalchemy.engine.row import Row
|
||||
from sqlalchemy.exc import SQLAlchemyError, StatementError
|
||||
from sqlalchemy.orm.session import Session
|
||||
from sqlalchemy.sql.expression import literal_column, true
|
||||
from sqlalchemy.sql.lambdas import StatementLambdaElement
|
||||
from sqlalchemy.sql.selectable import Subquery
|
||||
from sqlalchemy.sql.selectable import Select, Subquery
|
||||
import voluptuous as vol
|
||||
|
||||
from homeassistant.const import (
|
||||
|
@ -53,12 +52,7 @@ from .models import (
|
|||
process_timestamp,
|
||||
process_timestamp_to_utc_isoformat,
|
||||
)
|
||||
from .util import (
|
||||
execute,
|
||||
execute_stmt_lambda_element,
|
||||
retryable_database_job,
|
||||
session_scope,
|
||||
)
|
||||
from .util import execute, execute_stmt, retryable_database_job, session_scope
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from . import Recorder
|
||||
|
@ -483,10 +477,10 @@ def delete_statistics_meta_duplicates(session: Session) -> None:
|
|||
|
||||
def _compile_hourly_statistics_summary_mean_stmt(
|
||||
start_time: datetime, end_time: datetime
|
||||
) -> StatementLambdaElement:
|
||||
) -> Select:
|
||||
"""Generate the summary mean statement for hourly statistics."""
|
||||
return lambda_stmt(
|
||||
lambda: select(*QUERY_STATISTICS_SUMMARY_MEAN)
|
||||
return (
|
||||
select(*QUERY_STATISTICS_SUMMARY_MEAN)
|
||||
.filter(StatisticsShortTerm.start >= start_time)
|
||||
.filter(StatisticsShortTerm.start < end_time)
|
||||
.group_by(StatisticsShortTerm.metadata_id)
|
||||
|
@ -509,7 +503,7 @@ def compile_hourly_statistics(
|
|||
# Compute last hour's average, min, max
|
||||
summary: dict[str, StatisticData] = {}
|
||||
stmt = _compile_hourly_statistics_summary_mean_stmt(start_time, end_time)
|
||||
stats = execute_stmt_lambda_element(session, stmt)
|
||||
stats = execute_stmt(session, stmt)
|
||||
|
||||
if stats:
|
||||
for stat in stats:
|
||||
|
@ -691,17 +685,17 @@ def _generate_get_metadata_stmt(
|
|||
statistic_ids: list[str] | tuple[str] | None = None,
|
||||
statistic_type: Literal["mean"] | Literal["sum"] | None = None,
|
||||
statistic_source: str | None = None,
|
||||
) -> StatementLambdaElement:
|
||||
) -> Select:
|
||||
"""Generate a statement to fetch metadata."""
|
||||
stmt = lambda_stmt(lambda: select(*QUERY_STATISTIC_META))
|
||||
stmt = select(*QUERY_STATISTIC_META)
|
||||
if statistic_ids is not None:
|
||||
stmt += lambda q: q.where(StatisticsMeta.statistic_id.in_(statistic_ids))
|
||||
stmt = stmt.where(StatisticsMeta.statistic_id.in_(statistic_ids))
|
||||
if statistic_source is not None:
|
||||
stmt += lambda q: q.where(StatisticsMeta.source == statistic_source)
|
||||
stmt = stmt.where(StatisticsMeta.source == statistic_source)
|
||||
if statistic_type == "mean":
|
||||
stmt += lambda q: q.where(StatisticsMeta.has_mean == true())
|
||||
stmt = stmt.where(StatisticsMeta.has_mean == true())
|
||||
elif statistic_type == "sum":
|
||||
stmt += lambda q: q.where(StatisticsMeta.has_sum == true())
|
||||
stmt = stmt.where(StatisticsMeta.has_sum == true())
|
||||
return stmt
|
||||
|
||||
|
||||
|
@ -723,7 +717,7 @@ def get_metadata_with_session(
|
|||
|
||||
# Fetch metatadata from the database
|
||||
stmt = _generate_get_metadata_stmt(statistic_ids, statistic_type, statistic_source)
|
||||
result = execute_stmt_lambda_element(session, stmt)
|
||||
result = execute_stmt(session, stmt)
|
||||
if not result:
|
||||
return {}
|
||||
|
||||
|
@ -985,44 +979,30 @@ def _statistics_during_period_stmt(
|
|||
start_time: datetime,
|
||||
end_time: datetime | None,
|
||||
metadata_ids: list[int] | None,
|
||||
) -> StatementLambdaElement:
|
||||
"""Prepare a database query for statistics during a given period.
|
||||
|
||||
This prepares a lambda_stmt query, so we don't insert the parameters yet.
|
||||
"""
|
||||
stmt = lambda_stmt(
|
||||
lambda: select(*QUERY_STATISTICS).filter(Statistics.start >= start_time)
|
||||
)
|
||||
) -> Select:
|
||||
"""Prepare a database query for statistics during a given period."""
|
||||
stmt = select(*QUERY_STATISTICS).filter(Statistics.start >= start_time)
|
||||
if end_time is not None:
|
||||
stmt += lambda q: q.filter(Statistics.start < end_time)
|
||||
stmt = stmt.filter(Statistics.start < end_time)
|
||||
if metadata_ids:
|
||||
stmt += lambda q: q.filter(Statistics.metadata_id.in_(metadata_ids))
|
||||
stmt += lambda q: q.order_by(Statistics.metadata_id, Statistics.start)
|
||||
return stmt
|
||||
stmt = stmt.filter(Statistics.metadata_id.in_(metadata_ids))
|
||||
return stmt.order_by(Statistics.metadata_id, Statistics.start)
|
||||
|
||||
|
||||
def _statistics_during_period_stmt_short_term(
|
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start_time: datetime,
|
||||
end_time: datetime | None,
|
||||
metadata_ids: list[int] | None,
|
||||
) -> StatementLambdaElement:
|
||||
"""Prepare a database query for short term statistics during a given period.
|
||||
|
||||
This prepares a lambda_stmt query, so we don't insert the parameters yet.
|
||||
"""
|
||||
stmt = lambda_stmt(
|
||||
lambda: select(*QUERY_STATISTICS_SHORT_TERM).filter(
|
||||
StatisticsShortTerm.start >= start_time
|
||||
)
|
||||
) -> Select:
|
||||
"""Prepare a database query for short term statistics during a given period."""
|
||||
stmt = select(*QUERY_STATISTICS_SHORT_TERM).filter(
|
||||
StatisticsShortTerm.start >= start_time
|
||||
)
|
||||
if end_time is not None:
|
||||
stmt += lambda q: q.filter(StatisticsShortTerm.start < end_time)
|
||||
stmt = stmt.filter(StatisticsShortTerm.start < end_time)
|
||||
if metadata_ids:
|
||||
stmt += lambda q: q.filter(StatisticsShortTerm.metadata_id.in_(metadata_ids))
|
||||
stmt += lambda q: q.order_by(
|
||||
StatisticsShortTerm.metadata_id, StatisticsShortTerm.start
|
||||
)
|
||||
return stmt
|
||||
stmt = stmt.filter(StatisticsShortTerm.metadata_id.in_(metadata_ids))
|
||||
return stmt.order_by(StatisticsShortTerm.metadata_id, StatisticsShortTerm.start)
|
||||
|
||||
|
||||
def statistics_during_period(
|
||||
|
@ -1057,7 +1037,7 @@ def statistics_during_period(
|
|||
else:
|
||||
table = Statistics
|
||||
stmt = _statistics_during_period_stmt(start_time, end_time, metadata_ids)
|
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stats = execute_stmt_lambda_element(session, stmt)
|
||||
stats = execute_stmt(session, stmt)
|
||||
|
||||
if not stats:
|
||||
return {}
|
||||
|
@ -1088,10 +1068,10 @@ def statistics_during_period(
|
|||
def _get_last_statistics_stmt(
|
||||
metadata_id: int,
|
||||
number_of_stats: int,
|
||||
) -> StatementLambdaElement:
|
||||
) -> Select:
|
||||
"""Generate a statement for number_of_stats statistics for a given statistic_id."""
|
||||
return lambda_stmt(
|
||||
lambda: select(*QUERY_STATISTICS)
|
||||
return (
|
||||
select(*QUERY_STATISTICS)
|
||||
.filter_by(metadata_id=metadata_id)
|
||||
.order_by(Statistics.metadata_id, Statistics.start.desc())
|
||||
.limit(number_of_stats)
|
||||
|
@ -1101,10 +1081,10 @@ def _get_last_statistics_stmt(
|
|||
def _get_last_statistics_short_term_stmt(
|
||||
metadata_id: int,
|
||||
number_of_stats: int,
|
||||
) -> StatementLambdaElement:
|
||||
) -> Select:
|
||||
"""Generate a statement for number_of_stats short term statistics for a given statistic_id."""
|
||||
return lambda_stmt(
|
||||
lambda: select(*QUERY_STATISTICS_SHORT_TERM)
|
||||
return (
|
||||
select(*QUERY_STATISTICS_SHORT_TERM)
|
||||
.filter_by(metadata_id=metadata_id)
|
||||
.order_by(StatisticsShortTerm.metadata_id, StatisticsShortTerm.start.desc())
|
||||
.limit(number_of_stats)
|
||||
|
@ -1130,7 +1110,7 @@ def _get_last_statistics(
|
|||
stmt = _get_last_statistics_stmt(metadata_id, number_of_stats)
|
||||
else:
|
||||
stmt = _get_last_statistics_short_term_stmt(metadata_id, number_of_stats)
|
||||
stats = execute_stmt_lambda_element(session, stmt)
|
||||
stats = execute_stmt(session, stmt)
|
||||
|
||||
if not stats:
|
||||
return {}
|
||||
|
@ -1180,11 +1160,11 @@ def _generate_most_recent_statistic_row(metadata_ids: list[int]) -> Subquery:
|
|||
|
||||
def _latest_short_term_statistics_stmt(
|
||||
metadata_ids: list[int],
|
||||
) -> StatementLambdaElement:
|
||||
) -> Select:
|
||||
"""Create the statement for finding the latest short term stat rows."""
|
||||
stmt = lambda_stmt(lambda: select(*QUERY_STATISTICS_SHORT_TERM))
|
||||
stmt = select(*QUERY_STATISTICS_SHORT_TERM)
|
||||
most_recent_statistic_row = _generate_most_recent_statistic_row(metadata_ids)
|
||||
stmt += lambda s: s.join(
|
||||
return stmt.join(
|
||||
most_recent_statistic_row,
|
||||
(
|
||||
StatisticsShortTerm.metadata_id # pylint: disable=comparison-with-callable
|
||||
|
@ -1192,7 +1172,6 @@ def _latest_short_term_statistics_stmt(
|
|||
)
|
||||
& (StatisticsShortTerm.start == most_recent_statistic_row.c.start_max),
|
||||
)
|
||||
return stmt
|
||||
|
||||
|
||||
def get_latest_short_term_statistics(
|
||||
|
@ -1215,7 +1194,7 @@ def get_latest_short_term_statistics(
|
|||
if statistic_id in metadata
|
||||
]
|
||||
stmt = _latest_short_term_statistics_stmt(metadata_ids)
|
||||
stats = execute_stmt_lambda_element(session, stmt)
|
||||
stats = execute_stmt(session, stmt)
|
||||
if not stats:
|
||||
return {}
|
||||
|
||||
|
|
|
@ -22,7 +22,6 @@ from sqlalchemy.engine.row import Row
|
|||
from sqlalchemy.exc import OperationalError, SQLAlchemyError
|
||||
from sqlalchemy.orm.query import Query
|
||||
from sqlalchemy.orm.session import Session
|
||||
from sqlalchemy.sql.lambdas import StatementLambdaElement
|
||||
from typing_extensions import Concatenate, ParamSpec
|
||||
|
||||
from homeassistant.core import HomeAssistant
|
||||
|
@ -167,9 +166,9 @@ def execute(
|
|||
assert False # unreachable # pragma: no cover
|
||||
|
||||
|
||||
def execute_stmt_lambda_element(
|
||||
def execute_stmt(
|
||||
session: Session,
|
||||
stmt: StatementLambdaElement,
|
||||
query: Query,
|
||||
start_time: datetime | None = None,
|
||||
end_time: datetime | None = None,
|
||||
yield_per: int | None = DEFAULT_YIELD_STATES_ROWS,
|
||||
|
@ -185,11 +184,12 @@ def execute_stmt_lambda_element(
|
|||
specific entities) since they are usually faster
|
||||
with .all().
|
||||
"""
|
||||
executed = session.execute(stmt)
|
||||
use_all = not start_time or ((end_time or dt_util.utcnow()) - start_time).days <= 1
|
||||
for tryno in range(0, RETRIES):
|
||||
try:
|
||||
return executed.all() if use_all else executed.yield_per(yield_per) # type: ignore[no-any-return]
|
||||
if use_all:
|
||||
return session.execute(query).all() # type: ignore[no-any-return]
|
||||
return session.execute(query).yield_per(yield_per) # type: ignore[no-any-return]
|
||||
except SQLAlchemyError as err:
|
||||
_LOGGER.error("Error executing query: %s", err)
|
||||
if tryno == RETRIES - 1:
|
||||
|
|
|
@ -9,7 +9,6 @@ from sqlalchemy import text
|
|||
from sqlalchemy.engine.result import ChunkedIteratorResult
|
||||
from sqlalchemy.exc import SQLAlchemyError
|
||||
from sqlalchemy.sql.elements import TextClause
|
||||
from sqlalchemy.sql.lambdas import StatementLambdaElement
|
||||
|
||||
from homeassistant.components import recorder
|
||||
from homeassistant.components.recorder import history, util
|
||||
|
@ -712,8 +711,8 @@ def test_build_mysqldb_conv():
|
|||
|
||||
|
||||
@patch("homeassistant.components.recorder.util.QUERY_RETRY_WAIT", 0)
|
||||
def test_execute_stmt_lambda_element(hass_recorder):
|
||||
"""Test executing with execute_stmt_lambda_element."""
|
||||
def test_execute_stmt(hass_recorder):
|
||||
"""Test executing with execute_stmt."""
|
||||
hass = hass_recorder()
|
||||
instance = recorder.get_instance(hass)
|
||||
hass.states.set("sensor.on", "on")
|
||||
|
@ -724,13 +723,15 @@ def test_execute_stmt_lambda_element(hass_recorder):
|
|||
one_week_from_now = now + timedelta(days=7)
|
||||
|
||||
class MockExecutor:
|
||||
|
||||
_calls = 0
|
||||
|
||||
def __init__(self, stmt):
|
||||
assert isinstance(stmt, StatementLambdaElement)
|
||||
self.calls = 0
|
||||
"""Init the mock."""
|
||||
|
||||
def all(self):
|
||||
self.calls += 1
|
||||
if self.calls == 2:
|
||||
MockExecutor._calls += 1
|
||||
if MockExecutor._calls == 2:
|
||||
return ["mock_row"]
|
||||
raise SQLAlchemyError
|
||||
|
||||
|
@ -739,24 +740,24 @@ def test_execute_stmt_lambda_element(hass_recorder):
|
|||
stmt = history._get_single_entity_states_stmt(
|
||||
instance.schema_version, dt_util.utcnow(), "sensor.on", False
|
||||
)
|
||||
rows = util.execute_stmt_lambda_element(session, stmt)
|
||||
rows = util.execute_stmt(session, stmt)
|
||||
assert isinstance(rows, list)
|
||||
assert rows[0].state == new_state.state
|
||||
assert rows[0].entity_id == new_state.entity_id
|
||||
|
||||
# Time window >= 2 days, we get a ChunkedIteratorResult
|
||||
rows = util.execute_stmt_lambda_element(session, stmt, now, one_week_from_now)
|
||||
rows = util.execute_stmt(session, stmt, now, one_week_from_now)
|
||||
assert isinstance(rows, ChunkedIteratorResult)
|
||||
row = next(rows)
|
||||
assert row.state == new_state.state
|
||||
assert row.entity_id == new_state.entity_id
|
||||
|
||||
# Time window < 2 days, we get a list
|
||||
rows = util.execute_stmt_lambda_element(session, stmt, now, tomorrow)
|
||||
rows = util.execute_stmt(session, stmt, now, tomorrow)
|
||||
assert isinstance(rows, list)
|
||||
assert rows[0].state == new_state.state
|
||||
assert rows[0].entity_id == new_state.entity_id
|
||||
|
||||
with patch.object(session, "execute", MockExecutor):
|
||||
rows = util.execute_stmt_lambda_element(session, stmt, now, tomorrow)
|
||||
rows = util.execute_stmt(session, stmt, now, tomorrow)
|
||||
assert rows == ["mock_row"]
|
||||
|
|
Loading…
Reference in New Issue