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Restore v23 stats migration tests (#71743)
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613
tests/components/recorder/models_schema_23_with_newer_columns.py
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613
tests/components/recorder/models_schema_23_with_newer_columns.py
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"""Models for SQLAlchemy.
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This file contains the model definitions for schema version 23
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used by Home Assistant Core 2021.11.0, which adds the name column
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to statistics_meta.
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The v23 schema as been slightly modified to add the EventData table to
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allow the recorder to startup successfully.
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It is used to test the schema migration logic.
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"""
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from __future__ import annotations
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from datetime import datetime, timedelta
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import json
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import logging
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from typing import TypedDict, overload
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from sqlalchemy import (
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BigInteger,
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Boolean,
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Column,
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DateTime,
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Float,
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ForeignKey,
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Identity,
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Index,
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Integer,
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SmallInteger,
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String,
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Text,
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distinct,
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)
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from sqlalchemy.dialects import mysql, oracle, postgresql
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from sqlalchemy.ext.declarative import declared_attr
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from sqlalchemy.orm import declarative_base, relationship
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from sqlalchemy.orm.session import Session
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from homeassistant.const import (
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MAX_LENGTH_EVENT_CONTEXT_ID,
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MAX_LENGTH_EVENT_EVENT_TYPE,
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MAX_LENGTH_EVENT_ORIGIN,
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MAX_LENGTH_STATE_DOMAIN,
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MAX_LENGTH_STATE_ENTITY_ID,
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MAX_LENGTH_STATE_STATE,
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)
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from homeassistant.core import Context, Event, EventOrigin, State, split_entity_id
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from homeassistant.helpers.json import JSONEncoder
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import homeassistant.util.dt as dt_util
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# SQLAlchemy Schema
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# pylint: disable=invalid-name
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Base = declarative_base()
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SCHEMA_VERSION = 23
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_LOGGER = logging.getLogger(__name__)
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DB_TIMEZONE = "+00:00"
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TABLE_EVENTS = "events"
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TABLE_STATES = "states"
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TABLE_RECORDER_RUNS = "recorder_runs"
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TABLE_SCHEMA_CHANGES = "schema_changes"
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TABLE_STATISTICS = "statistics"
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TABLE_STATISTICS_META = "statistics_meta"
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TABLE_STATISTICS_RUNS = "statistics_runs"
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TABLE_STATISTICS_SHORT_TERM = "statistics_short_term"
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TABLE_EVENT_DATA = "event_data"
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ALL_TABLES = [
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TABLE_STATES,
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TABLE_EVENTS,
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TABLE_RECORDER_RUNS,
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TABLE_SCHEMA_CHANGES,
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TABLE_STATISTICS,
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TABLE_STATISTICS_META,
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TABLE_STATISTICS_RUNS,
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TABLE_STATISTICS_SHORT_TERM,
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]
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DATETIME_TYPE = DateTime(timezone=True).with_variant(
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mysql.DATETIME(timezone=True, fsp=6), "mysql"
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)
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DOUBLE_TYPE = (
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Float()
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.with_variant(mysql.DOUBLE(asdecimal=False), "mysql")
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.with_variant(oracle.DOUBLE_PRECISION(), "oracle")
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.with_variant(postgresql.DOUBLE_PRECISION(), "postgresql")
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)
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class Events(Base): # type: ignore
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"""Event history data."""
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__table_args__ = (
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# Used for fetching events at a specific time
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# see logbook
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Index("ix_events_event_type_time_fired", "event_type", "time_fired"),
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{"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
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)
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__tablename__ = TABLE_EVENTS
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event_id = Column(Integer, Identity(), primary_key=True)
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event_type = Column(String(MAX_LENGTH_EVENT_EVENT_TYPE))
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event_data = Column(Text().with_variant(mysql.LONGTEXT, "mysql"))
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origin = Column(String(MAX_LENGTH_EVENT_ORIGIN))
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origin_idx = Column(
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SmallInteger
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) # *** Not originally in v23, only added for recorder to startup ok
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time_fired = Column(DATETIME_TYPE, index=True)
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created = Column(DATETIME_TYPE, default=dt_util.utcnow)
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context_id = Column(String(MAX_LENGTH_EVENT_CONTEXT_ID), index=True)
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context_user_id = Column(String(MAX_LENGTH_EVENT_CONTEXT_ID), index=True)
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context_parent_id = Column(String(MAX_LENGTH_EVENT_CONTEXT_ID), index=True)
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data_id = Column(
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Integer, ForeignKey("event_data.data_id"), index=True
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) # *** Not originally in v23, only added for recorder to startup ok
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event_data_rel = relationship(
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"EventData"
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) # *** Not originally in v23, only added for recorder to startup ok
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def __repr__(self) -> str:
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"""Return string representation of instance for debugging."""
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return (
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f"<recorder.Events("
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f"id={self.event_id}, type='{self.event_type}', data='{self.event_data}', "
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f"origin='{self.origin}', time_fired='{self.time_fired}'"
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f")>"
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)
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@staticmethod
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def from_event(event, event_data=None):
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"""Create an event database object from a native event."""
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return Events(
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event_type=event.event_type,
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event_data=event_data
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or json.dumps(event.data, cls=JSONEncoder, separators=(",", ":")),
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origin=str(event.origin.value),
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time_fired=event.time_fired,
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context_id=event.context.id,
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context_user_id=event.context.user_id,
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context_parent_id=event.context.parent_id,
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)
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def to_native(self, validate_entity_id=True):
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"""Convert to a native HA Event."""
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context = Context(
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id=self.context_id,
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user_id=self.context_user_id,
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parent_id=self.context_parent_id,
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)
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try:
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return Event(
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self.event_type,
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json.loads(self.event_data),
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EventOrigin(self.origin),
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process_timestamp(self.time_fired),
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context=context,
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)
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except ValueError:
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# When json.loads fails
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_LOGGER.exception("Error converting to event: %s", self)
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return None
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# *** Not originally in v23, only added for recorder to startup ok
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# This is not being tested by the v23 statistics migration tests
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class EventData(Base): # type: ignore[misc,valid-type]
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"""Event data history."""
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__table_args__ = (
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{"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
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)
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__tablename__ = TABLE_EVENT_DATA
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data_id = Column(Integer, Identity(), primary_key=True)
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hash = Column(BigInteger, index=True)
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# Note that this is not named attributes to avoid confusion with the states table
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shared_data = Column(Text().with_variant(mysql.LONGTEXT, "mysql"))
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class States(Base): # type: ignore
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"""State change history."""
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__table_args__ = (
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# Used for fetching the state of entities at a specific time
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# (get_states in history.py)
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Index("ix_states_entity_id_last_updated", "entity_id", "last_updated"),
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{"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
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)
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__tablename__ = TABLE_STATES
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state_id = Column(Integer, Identity(), primary_key=True)
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domain = Column(String(MAX_LENGTH_STATE_DOMAIN))
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entity_id = Column(String(MAX_LENGTH_STATE_ENTITY_ID))
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state = Column(String(MAX_LENGTH_STATE_STATE))
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attributes = Column(Text().with_variant(mysql.LONGTEXT, "mysql"))
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event_id = Column(
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Integer, ForeignKey("events.event_id", ondelete="CASCADE"), index=True
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)
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last_changed = Column(DATETIME_TYPE, default=dt_util.utcnow)
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last_updated = Column(DATETIME_TYPE, default=dt_util.utcnow, index=True)
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created = Column(DATETIME_TYPE, default=dt_util.utcnow)
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old_state_id = Column(Integer, ForeignKey("states.state_id"), index=True)
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event = relationship("Events", uselist=False)
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old_state = relationship("States", remote_side=[state_id])
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def __repr__(self) -> str:
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"""Return string representation of instance for debugging."""
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return (
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f"<recorder.States("
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f"id={self.state_id}, domain='{self.domain}', entity_id='{self.entity_id}', "
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f"state='{self.state}', event_id='{self.event_id}', "
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f"last_updated='{self.last_updated.isoformat(sep=' ', timespec='seconds')}', "
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f"old_state_id={self.old_state_id}"
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f")>"
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)
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@staticmethod
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def from_event(event):
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"""Create object from a state_changed event."""
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entity_id = event.data["entity_id"]
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state = event.data.get("new_state")
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dbstate = States(entity_id=entity_id)
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# State got deleted
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if state is None:
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dbstate.state = ""
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dbstate.domain = split_entity_id(entity_id)[0]
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dbstate.attributes = "{}"
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dbstate.last_changed = event.time_fired
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dbstate.last_updated = event.time_fired
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else:
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dbstate.domain = state.domain
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dbstate.state = state.state
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dbstate.attributes = json.dumps(
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dict(state.attributes), cls=JSONEncoder, separators=(",", ":")
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)
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dbstate.last_changed = state.last_changed
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dbstate.last_updated = state.last_updated
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return dbstate
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def to_native(self, validate_entity_id=True):
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"""Convert to an HA state object."""
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try:
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return State(
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self.entity_id,
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self.state,
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json.loads(self.attributes),
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process_timestamp(self.last_changed),
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process_timestamp(self.last_updated),
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# Join the events table on event_id to get the context instead
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# as it will always be there for state_changed events
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context=Context(id=None),
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validate_entity_id=validate_entity_id,
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)
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except ValueError:
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# When json.loads fails
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_LOGGER.exception("Error converting row to state: %s", self)
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return None
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class StatisticResult(TypedDict):
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"""Statistic result data class.
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Allows multiple datapoints for the same statistic_id.
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"""
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meta: StatisticMetaData
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stat: StatisticData
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class StatisticDataBase(TypedDict):
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"""Mandatory fields for statistic data class."""
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start: datetime
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class StatisticData(StatisticDataBase, total=False):
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"""Statistic data class."""
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mean: float
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min: float
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max: float
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last_reset: datetime | None
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state: float
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sum: float
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class StatisticsBase:
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"""Statistics base class."""
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id = Column(Integer, Identity(), primary_key=True)
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created = Column(DATETIME_TYPE, default=dt_util.utcnow)
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@declared_attr
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def metadata_id(self):
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"""Define the metadata_id column for sub classes."""
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return Column(
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Integer,
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ForeignKey(f"{TABLE_STATISTICS_META}.id", ondelete="CASCADE"),
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index=True,
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)
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start = Column(DATETIME_TYPE, index=True)
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mean = Column(DOUBLE_TYPE)
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min = Column(DOUBLE_TYPE)
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max = Column(DOUBLE_TYPE)
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last_reset = Column(DATETIME_TYPE)
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state = Column(DOUBLE_TYPE)
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sum = Column(DOUBLE_TYPE)
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@classmethod
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def from_stats(cls, metadata_id: int, stats: StatisticData):
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"""Create object from a statistics."""
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return cls( # type: ignore
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metadata_id=metadata_id,
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**stats,
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)
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class Statistics(Base, StatisticsBase): # type: ignore
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"""Long term statistics."""
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duration = timedelta(hours=1)
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__table_args__ = (
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# Used for fetching statistics for a certain entity at a specific time
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Index("ix_statistics_statistic_id_start", "metadata_id", "start"),
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)
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__tablename__ = TABLE_STATISTICS
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class StatisticsShortTerm(Base, StatisticsBase): # type: ignore
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"""Short term statistics."""
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duration = timedelta(minutes=5)
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__table_args__ = (
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# Used for fetching statistics for a certain entity at a specific time
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Index("ix_statistics_short_term_statistic_id_start", "metadata_id", "start"),
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)
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__tablename__ = TABLE_STATISTICS_SHORT_TERM
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class StatisticMetaData(TypedDict):
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"""Statistic meta data class."""
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has_mean: bool
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has_sum: bool
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name: str | None
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source: str
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statistic_id: str
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unit_of_measurement: str | None
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class StatisticsMeta(Base): # type: ignore
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"""Statistics meta data."""
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__table_args__ = (
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{"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
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)
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__tablename__ = TABLE_STATISTICS_META
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id = Column(Integer, Identity(), primary_key=True)
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statistic_id = Column(String(255), index=True)
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source = Column(String(32))
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unit_of_measurement = Column(String(255))
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has_mean = Column(Boolean)
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has_sum = Column(Boolean)
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name = Column(String(255))
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@staticmethod
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def from_meta(meta: StatisticMetaData) -> StatisticsMeta:
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"""Create object from meta data."""
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return StatisticsMeta(**meta)
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class RecorderRuns(Base): # type: ignore
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"""Representation of recorder run."""
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__table_args__ = (Index("ix_recorder_runs_start_end", "start", "end"),)
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__tablename__ = TABLE_RECORDER_RUNS
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run_id = Column(Integer, Identity(), primary_key=True)
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start = Column(DateTime(timezone=True), default=dt_util.utcnow)
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end = Column(DateTime(timezone=True))
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closed_incorrect = Column(Boolean, default=False)
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created = Column(DateTime(timezone=True), default=dt_util.utcnow)
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def __repr__(self) -> str:
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"""Return string representation of instance for debugging."""
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end = (
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f"'{self.end.isoformat(sep=' ', timespec='seconds')}'" if self.end else None
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)
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return (
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f"<recorder.RecorderRuns("
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f"id={self.run_id}, start='{self.start.isoformat(sep=' ', timespec='seconds')}', "
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f"end={end}, closed_incorrect={self.closed_incorrect}, "
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f"created='{self.created.isoformat(sep=' ', timespec='seconds')}'"
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f")>"
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)
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def entity_ids(self, point_in_time=None):
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"""Return the entity ids that existed in this run.
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Specify point_in_time if you want to know which existed at that point
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in time inside the run.
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"""
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session = Session.object_session(self)
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assert session is not None, "RecorderRuns need to be persisted"
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query = session.query(distinct(States.entity_id)).filter(
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States.last_updated >= self.start
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)
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if point_in_time is not None:
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query = query.filter(States.last_updated < point_in_time)
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elif self.end is not None:
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query = query.filter(States.last_updated < self.end)
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return [row[0] for row in query]
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def to_native(self, validate_entity_id=True):
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"""Return self, native format is this model."""
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return self
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class SchemaChanges(Base): # type: ignore
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"""Representation of schema version changes."""
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__tablename__ = TABLE_SCHEMA_CHANGES
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change_id = Column(Integer, Identity(), primary_key=True)
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schema_version = Column(Integer)
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changed = Column(DateTime(timezone=True), default=dt_util.utcnow)
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def __repr__(self) -> str:
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"""Return string representation of instance for debugging."""
|
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return (
|
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f"<recorder.SchemaChanges("
|
||||
f"id={self.change_id}, schema_version={self.schema_version}, "
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f"changed='{self.changed.isoformat(sep=' ', timespec='seconds')}'"
|
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f")>"
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||||
)
|
||||
|
||||
|
||||
class StatisticsRuns(Base): # type: ignore
|
||||
"""Representation of statistics run."""
|
||||
|
||||
__tablename__ = TABLE_STATISTICS_RUNS
|
||||
run_id = Column(Integer, Identity(), primary_key=True)
|
||||
start = Column(DateTime(timezone=True))
|
||||
|
||||
def __repr__(self) -> str:
|
||||
"""Return string representation of instance for debugging."""
|
||||
return (
|
||||
f"<recorder.StatisticsRuns("
|
||||
f"id={self.run_id}, start='{self.start.isoformat(sep=' ', timespec='seconds')}', "
|
||||
f")>"
|
||||
)
|
||||
|
||||
|
||||
@overload
|
||||
def process_timestamp(ts: None) -> None:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def process_timestamp(ts: datetime) -> datetime:
|
||||
...
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||||
|
||||
|
||||
def process_timestamp(ts: datetime | None) -> datetime | None:
|
||||
"""Process a timestamp into datetime object."""
|
||||
if ts is None:
|
||||
return None
|
||||
if ts.tzinfo is None:
|
||||
return ts.replace(tzinfo=dt_util.UTC)
|
||||
|
||||
return dt_util.as_utc(ts)
|
||||
|
||||
|
||||
@overload
|
||||
def process_timestamp_to_utc_isoformat(ts: None) -> None:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def process_timestamp_to_utc_isoformat(ts: datetime) -> str:
|
||||
...
|
||||
|
||||
|
||||
def process_timestamp_to_utc_isoformat(ts: datetime | None) -> str | None:
|
||||
"""Process a timestamp into UTC isotime."""
|
||||
if ts is None:
|
||||
return None
|
||||
if ts.tzinfo == dt_util.UTC:
|
||||
return ts.isoformat()
|
||||
if ts.tzinfo is None:
|
||||
return f"{ts.isoformat()}{DB_TIMEZONE}"
|
||||
return ts.astimezone(dt_util.UTC).isoformat()
|
||||
|
||||
|
||||
class LazyState(State):
|
||||
"""A lazy version of core State."""
|
||||
|
||||
__slots__ = [
|
||||
"_row",
|
||||
"entity_id",
|
||||
"state",
|
||||
"_attributes",
|
||||
"_last_changed",
|
||||
"_last_updated",
|
||||
"_context",
|
||||
]
|
||||
|
||||
def __init__(self, row): # pylint: disable=super-init-not-called
|
||||
"""Init the lazy state."""
|
||||
self._row = row
|
||||
self.entity_id = self._row.entity_id
|
||||
self.state = self._row.state or ""
|
||||
self._attributes = None
|
||||
self._last_changed = None
|
||||
self._last_updated = None
|
||||
self._context = None
|
||||
|
||||
@property # type: ignore
|
||||
def attributes(self):
|
||||
"""State attributes."""
|
||||
if not self._attributes:
|
||||
try:
|
||||
self._attributes = json.loads(self._row.attributes)
|
||||
except ValueError:
|
||||
# When json.loads fails
|
||||
_LOGGER.exception("Error converting row to state: %s", self._row)
|
||||
self._attributes = {}
|
||||
return self._attributes
|
||||
|
||||
@attributes.setter
|
||||
def attributes(self, value):
|
||||
"""Set attributes."""
|
||||
self._attributes = value
|
||||
|
||||
@property # type: ignore
|
||||
def context(self):
|
||||
"""State context."""
|
||||
if not self._context:
|
||||
self._context = Context(id=None)
|
||||
return self._context
|
||||
|
||||
@context.setter
|
||||
def context(self, value):
|
||||
"""Set context."""
|
||||
self._context = value
|
||||
|
||||
@property # type: ignore
|
||||
def last_changed(self):
|
||||
"""Last changed datetime."""
|
||||
if not self._last_changed:
|
||||
self._last_changed = process_timestamp(self._row.last_changed)
|
||||
return self._last_changed
|
||||
|
||||
@last_changed.setter
|
||||
def last_changed(self, value):
|
||||
"""Set last changed datetime."""
|
||||
self._last_changed = value
|
||||
|
||||
@property # type: ignore
|
||||
def last_updated(self):
|
||||
"""Last updated datetime."""
|
||||
if not self._last_updated:
|
||||
self._last_updated = process_timestamp(self._row.last_updated)
|
||||
return self._last_updated
|
||||
|
||||
@last_updated.setter
|
||||
def last_updated(self, value):
|
||||
"""Set last updated datetime."""
|
||||
self._last_updated = value
|
||||
|
||||
def as_dict(self):
|
||||
"""Return a dict representation of the LazyState.
|
||||
|
||||
Async friendly.
|
||||
|
||||
To be used for JSON serialization.
|
||||
"""
|
||||
if self._last_changed:
|
||||
last_changed_isoformat = self._last_changed.isoformat()
|
||||
else:
|
||||
last_changed_isoformat = process_timestamp_to_utc_isoformat(
|
||||
self._row.last_changed
|
||||
)
|
||||
if self._last_updated:
|
||||
last_updated_isoformat = self._last_updated.isoformat()
|
||||
else:
|
||||
last_updated_isoformat = process_timestamp_to_utc_isoformat(
|
||||
self._row.last_updated
|
||||
)
|
||||
return {
|
||||
"entity_id": self.entity_id,
|
||||
"state": self.state,
|
||||
"attributes": self._attributes or self.attributes,
|
||||
"last_changed": last_changed_isoformat,
|
||||
"last_updated": last_updated_isoformat,
|
||||
}
|
||||
|
||||
def __eq__(self, other):
|
||||
"""Return the comparison."""
|
||||
return (
|
||||
other.__class__ in [self.__class__, State]
|
||||
and self.entity_id == other.entity_id
|
||||
and self.state == other.state
|
||||
and self.attributes == other.attributes
|
||||
)
|
618
tests/components/recorder/test_statistics_v23_migration.py
Normal file
618
tests/components/recorder/test_statistics_v23_migration.py
Normal file
@ -0,0 +1,618 @@
|
||||
"""The tests for sensor recorder platform migrating statistics from v23.
|
||||
|
||||
The v23 schema used for these tests has been slightly modified to add the
|
||||
EventData table to allow the recorder to startup successfully.
|
||||
"""
|
||||
# pylint: disable=protected-access,invalid-name
|
||||
import importlib
|
||||
import json
|
||||
import sys
|
||||
from unittest.mock import patch
|
||||
|
||||
import pytest
|
||||
from sqlalchemy import create_engine
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from homeassistant.components import recorder
|
||||
from homeassistant.components.recorder import SQLITE_URL_PREFIX, statistics
|
||||
from homeassistant.components.recorder.util import session_scope
|
||||
from homeassistant.setup import setup_component
|
||||
import homeassistant.util.dt as dt_util
|
||||
|
||||
from tests.common import get_test_home_assistant
|
||||
from tests.components.recorder.common import wait_recording_done
|
||||
|
||||
ORIG_TZ = dt_util.DEFAULT_TIME_ZONE
|
||||
|
||||
CREATE_ENGINE_TARGET = "homeassistant.components.recorder.core.create_engine"
|
||||
SCHEMA_MODULE = "tests.components.recorder.models_schema_23_with_newer_columns"
|
||||
|
||||
|
||||
def _create_engine_test(*args, **kwargs):
|
||||
"""Test version of create_engine that initializes with old schema.
|
||||
|
||||
This simulates an existing db with the old schema.
|
||||
"""
|
||||
importlib.import_module(SCHEMA_MODULE)
|
||||
old_models = sys.modules[SCHEMA_MODULE]
|
||||
engine = create_engine(*args, **kwargs)
|
||||
old_models.Base.metadata.create_all(engine)
|
||||
with Session(engine) as session:
|
||||
session.add(recorder.models.StatisticsRuns(start=statistics.get_start_time()))
|
||||
session.add(
|
||||
recorder.models.SchemaChanges(schema_version=old_models.SCHEMA_VERSION)
|
||||
)
|
||||
session.commit()
|
||||
return engine
|
||||
|
||||
|
||||
def test_delete_duplicates(caplog, tmpdir):
|
||||
"""Test removal of duplicated statistics."""
|
||||
test_db_file = tmpdir.mkdir("sqlite").join("test_run_info.db")
|
||||
dburl = f"{SQLITE_URL_PREFIX}//{test_db_file}"
|
||||
|
||||
importlib.import_module(SCHEMA_MODULE)
|
||||
old_models = sys.modules[SCHEMA_MODULE]
|
||||
|
||||
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
|
||||
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
|
||||
period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
|
||||
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
|
||||
|
||||
external_energy_statistics_1 = (
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"state": 0,
|
||||
"sum": 2,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"state": 1,
|
||||
"sum": 3,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"state": 2,
|
||||
"sum": 4,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
},
|
||||
)
|
||||
external_energy_metadata_1 = {
|
||||
"has_mean": False,
|
||||
"has_sum": True,
|
||||
"name": "Total imported energy",
|
||||
"source": "test",
|
||||
"statistic_id": "test:total_energy_import_tariff_1",
|
||||
"unit_of_measurement": "kWh",
|
||||
}
|
||||
external_energy_statistics_2 = (
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"state": 0,
|
||||
"sum": 20,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"state": 1,
|
||||
"sum": 30,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"state": 2,
|
||||
"sum": 40,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 50,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 50,
|
||||
},
|
||||
)
|
||||
external_energy_metadata_2 = {
|
||||
"has_mean": False,
|
||||
"has_sum": True,
|
||||
"name": "Total imported energy",
|
||||
"source": "test",
|
||||
"statistic_id": "test:total_energy_import_tariff_2",
|
||||
"unit_of_measurement": "kWh",
|
||||
}
|
||||
external_co2_statistics = (
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"mean": 10,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"mean": 30,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"mean": 60,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"mean": 90,
|
||||
},
|
||||
)
|
||||
external_co2_metadata = {
|
||||
"has_mean": True,
|
||||
"has_sum": False,
|
||||
"name": "Fossil percentage",
|
||||
"source": "test",
|
||||
"statistic_id": "test:fossil_percentage",
|
||||
"unit_of_measurement": "%",
|
||||
}
|
||||
|
||||
# Create some duplicated statistics with schema version 23
|
||||
with patch.object(recorder, "models", old_models), patch.object(
|
||||
recorder.migration, "SCHEMA_VERSION", old_models.SCHEMA_VERSION
|
||||
), patch(CREATE_ENGINE_TARGET, new=_create_engine_test):
|
||||
hass = get_test_home_assistant()
|
||||
setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
|
||||
wait_recording_done(hass)
|
||||
wait_recording_done(hass)
|
||||
|
||||
with session_scope(hass=hass) as session:
|
||||
session.add(
|
||||
recorder.models.StatisticsMeta.from_meta(external_energy_metadata_1)
|
||||
)
|
||||
session.add(
|
||||
recorder.models.StatisticsMeta.from_meta(external_energy_metadata_2)
|
||||
)
|
||||
session.add(recorder.models.StatisticsMeta.from_meta(external_co2_metadata))
|
||||
with session_scope(hass=hass) as session:
|
||||
for stat in external_energy_statistics_1:
|
||||
session.add(recorder.models.Statistics.from_stats(1, stat))
|
||||
for stat in external_energy_statistics_2:
|
||||
session.add(recorder.models.Statistics.from_stats(2, stat))
|
||||
for stat in external_co2_statistics:
|
||||
session.add(recorder.models.Statistics.from_stats(3, stat))
|
||||
|
||||
hass.stop()
|
||||
dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
|
||||
|
||||
# Test that the duplicates are removed during migration from schema 23
|
||||
hass = get_test_home_assistant()
|
||||
setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
|
||||
hass.start()
|
||||
wait_recording_done(hass)
|
||||
wait_recording_done(hass)
|
||||
hass.stop()
|
||||
dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
|
||||
|
||||
assert "Deleted 2 duplicated statistics rows" in caplog.text
|
||||
assert "Found non identical" not in caplog.text
|
||||
assert "Found duplicated" not in caplog.text
|
||||
|
||||
|
||||
def test_delete_duplicates_many(caplog, tmpdir):
|
||||
"""Test removal of duplicated statistics."""
|
||||
test_db_file = tmpdir.mkdir("sqlite").join("test_run_info.db")
|
||||
dburl = f"{SQLITE_URL_PREFIX}//{test_db_file}"
|
||||
|
||||
importlib.import_module(SCHEMA_MODULE)
|
||||
old_models = sys.modules[SCHEMA_MODULE]
|
||||
|
||||
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
|
||||
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
|
||||
period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
|
||||
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
|
||||
|
||||
external_energy_statistics_1 = (
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"state": 0,
|
||||
"sum": 2,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"state": 1,
|
||||
"sum": 3,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"state": 2,
|
||||
"sum": 4,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
},
|
||||
)
|
||||
external_energy_metadata_1 = {
|
||||
"has_mean": False,
|
||||
"has_sum": True,
|
||||
"name": "Total imported energy",
|
||||
"source": "test",
|
||||
"statistic_id": "test:total_energy_import_tariff_1",
|
||||
"unit_of_measurement": "kWh",
|
||||
}
|
||||
external_energy_statistics_2 = (
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"state": 0,
|
||||
"sum": 20,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"state": 1,
|
||||
"sum": 30,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"state": 2,
|
||||
"sum": 40,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 50,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 50,
|
||||
},
|
||||
)
|
||||
external_energy_metadata_2 = {
|
||||
"has_mean": False,
|
||||
"has_sum": True,
|
||||
"name": "Total imported energy",
|
||||
"source": "test",
|
||||
"statistic_id": "test:total_energy_import_tariff_2",
|
||||
"unit_of_measurement": "kWh",
|
||||
}
|
||||
external_co2_statistics = (
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"mean": 10,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"mean": 30,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"mean": 60,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"mean": 90,
|
||||
},
|
||||
)
|
||||
external_co2_metadata = {
|
||||
"has_mean": True,
|
||||
"has_sum": False,
|
||||
"name": "Fossil percentage",
|
||||
"source": "test",
|
||||
"statistic_id": "test:fossil_percentage",
|
||||
"unit_of_measurement": "%",
|
||||
}
|
||||
|
||||
# Create some duplicated statistics with schema version 23
|
||||
with patch.object(recorder, "models", old_models), patch.object(
|
||||
recorder.migration, "SCHEMA_VERSION", old_models.SCHEMA_VERSION
|
||||
), patch(CREATE_ENGINE_TARGET, new=_create_engine_test):
|
||||
hass = get_test_home_assistant()
|
||||
setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
|
||||
wait_recording_done(hass)
|
||||
wait_recording_done(hass)
|
||||
|
||||
with session_scope(hass=hass) as session:
|
||||
session.add(
|
||||
recorder.models.StatisticsMeta.from_meta(external_energy_metadata_1)
|
||||
)
|
||||
session.add(
|
||||
recorder.models.StatisticsMeta.from_meta(external_energy_metadata_2)
|
||||
)
|
||||
session.add(recorder.models.StatisticsMeta.from_meta(external_co2_metadata))
|
||||
with session_scope(hass=hass) as session:
|
||||
for stat in external_energy_statistics_1:
|
||||
session.add(recorder.models.Statistics.from_stats(1, stat))
|
||||
for _ in range(3000):
|
||||
session.add(
|
||||
recorder.models.Statistics.from_stats(
|
||||
1, external_energy_statistics_1[-1]
|
||||
)
|
||||
)
|
||||
for stat in external_energy_statistics_2:
|
||||
session.add(recorder.models.Statistics.from_stats(2, stat))
|
||||
for stat in external_co2_statistics:
|
||||
session.add(recorder.models.Statistics.from_stats(3, stat))
|
||||
|
||||
hass.stop()
|
||||
dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
|
||||
|
||||
# Test that the duplicates are removed during migration from schema 23
|
||||
hass = get_test_home_assistant()
|
||||
setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
|
||||
hass.start()
|
||||
wait_recording_done(hass)
|
||||
wait_recording_done(hass)
|
||||
hass.stop()
|
||||
dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
|
||||
|
||||
assert "Deleted 3002 duplicated statistics rows" in caplog.text
|
||||
assert "Found non identical" not in caplog.text
|
||||
assert "Found duplicated" not in caplog.text
|
||||
|
||||
|
||||
@pytest.mark.freeze_time("2021-08-01 00:00:00+00:00")
|
||||
def test_delete_duplicates_non_identical(caplog, tmpdir):
|
||||
"""Test removal of duplicated statistics."""
|
||||
test_db_file = tmpdir.mkdir("sqlite").join("test_run_info.db")
|
||||
dburl = f"{SQLITE_URL_PREFIX}//{test_db_file}"
|
||||
|
||||
importlib.import_module(SCHEMA_MODULE)
|
||||
old_models = sys.modules[SCHEMA_MODULE]
|
||||
|
||||
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
|
||||
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
|
||||
period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
|
||||
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
|
||||
|
||||
external_energy_statistics_1 = (
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"state": 0,
|
||||
"sum": 2,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"state": 1,
|
||||
"sum": 3,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"state": 2,
|
||||
"sum": 4,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 6,
|
||||
},
|
||||
)
|
||||
external_energy_metadata_1 = {
|
||||
"has_mean": False,
|
||||
"has_sum": True,
|
||||
"name": "Total imported energy",
|
||||
"source": "test",
|
||||
"statistic_id": "test:total_energy_import_tariff_1",
|
||||
"unit_of_measurement": "kWh",
|
||||
}
|
||||
external_energy_statistics_2 = (
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"state": 0,
|
||||
"sum": 20,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"state": 1,
|
||||
"sum": 30,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"state": 2,
|
||||
"sum": 40,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 50,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 50,
|
||||
},
|
||||
)
|
||||
external_energy_metadata_2 = {
|
||||
"has_mean": False,
|
||||
"has_sum": True,
|
||||
"name": "Total imported energy",
|
||||
"source": "test",
|
||||
"statistic_id": "test:total_energy_import_tariff_2",
|
||||
"unit_of_measurement": "kWh",
|
||||
}
|
||||
|
||||
# Create some duplicated statistics with schema version 23
|
||||
with patch.object(recorder, "models", old_models), patch.object(
|
||||
recorder.migration, "SCHEMA_VERSION", old_models.SCHEMA_VERSION
|
||||
), patch(CREATE_ENGINE_TARGET, new=_create_engine_test):
|
||||
hass = get_test_home_assistant()
|
||||
setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
|
||||
wait_recording_done(hass)
|
||||
wait_recording_done(hass)
|
||||
|
||||
with session_scope(hass=hass) as session:
|
||||
session.add(
|
||||
recorder.models.StatisticsMeta.from_meta(external_energy_metadata_1)
|
||||
)
|
||||
session.add(
|
||||
recorder.models.StatisticsMeta.from_meta(external_energy_metadata_2)
|
||||
)
|
||||
with session_scope(hass=hass) as session:
|
||||
for stat in external_energy_statistics_1:
|
||||
session.add(recorder.models.Statistics.from_stats(1, stat))
|
||||
for stat in external_energy_statistics_2:
|
||||
session.add(recorder.models.Statistics.from_stats(2, stat))
|
||||
|
||||
hass.stop()
|
||||
dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
|
||||
|
||||
# Test that the duplicates are removed during migration from schema 23
|
||||
hass = get_test_home_assistant()
|
||||
hass.config.config_dir = tmpdir
|
||||
setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
|
||||
hass.start()
|
||||
wait_recording_done(hass)
|
||||
wait_recording_done(hass)
|
||||
hass.stop()
|
||||
dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
|
||||
|
||||
assert "Deleted 2 duplicated statistics rows" in caplog.text
|
||||
assert "Deleted 1 non identical" in caplog.text
|
||||
assert "Found duplicated" not in caplog.text
|
||||
|
||||
isotime = dt_util.utcnow().isoformat()
|
||||
backup_file_name = f".storage/deleted_statistics.{isotime}.json"
|
||||
|
||||
with open(hass.config.path(backup_file_name)) as backup_file:
|
||||
backup = json.load(backup_file)
|
||||
|
||||
assert backup == [
|
||||
{
|
||||
"duplicate": {
|
||||
"created": "2021-08-01T00:00:00",
|
||||
"id": 4,
|
||||
"last_reset": None,
|
||||
"max": None,
|
||||
"mean": None,
|
||||
"metadata_id": 1,
|
||||
"min": None,
|
||||
"start": "2021-10-31T23:00:00",
|
||||
"state": 3.0,
|
||||
"sum": 5.0,
|
||||
},
|
||||
"original": {
|
||||
"created": "2021-08-01T00:00:00",
|
||||
"id": 5,
|
||||
"last_reset": None,
|
||||
"max": None,
|
||||
"mean": None,
|
||||
"metadata_id": 1,
|
||||
"min": None,
|
||||
"start": "2021-10-31T23:00:00",
|
||||
"state": 3.0,
|
||||
"sum": 6.0,
|
||||
},
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
def test_delete_duplicates_short_term(caplog, tmpdir):
|
||||
"""Test removal of duplicated statistics."""
|
||||
test_db_file = tmpdir.mkdir("sqlite").join("test_run_info.db")
|
||||
dburl = f"{SQLITE_URL_PREFIX}//{test_db_file}"
|
||||
|
||||
importlib.import_module(SCHEMA_MODULE)
|
||||
old_models = sys.modules[SCHEMA_MODULE]
|
||||
|
||||
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
|
||||
|
||||
external_energy_metadata_1 = {
|
||||
"has_mean": False,
|
||||
"has_sum": True,
|
||||
"name": "Total imported energy",
|
||||
"source": "test",
|
||||
"statistic_id": "test:total_energy_import_tariff_1",
|
||||
"unit_of_measurement": "kWh",
|
||||
}
|
||||
statistic_row = {
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
}
|
||||
|
||||
# Create some duplicated statistics with schema version 23
|
||||
with patch.object(recorder, "models", old_models), patch.object(
|
||||
recorder.migration, "SCHEMA_VERSION", old_models.SCHEMA_VERSION
|
||||
), patch(CREATE_ENGINE_TARGET, new=_create_engine_test):
|
||||
hass = get_test_home_assistant()
|
||||
setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
|
||||
wait_recording_done(hass)
|
||||
wait_recording_done(hass)
|
||||
|
||||
with session_scope(hass=hass) as session:
|
||||
session.add(
|
||||
recorder.models.StatisticsMeta.from_meta(external_energy_metadata_1)
|
||||
)
|
||||
with session_scope(hass=hass) as session:
|
||||
session.add(
|
||||
recorder.models.StatisticsShortTerm.from_stats(1, statistic_row)
|
||||
)
|
||||
session.add(
|
||||
recorder.models.StatisticsShortTerm.from_stats(1, statistic_row)
|
||||
)
|
||||
|
||||
hass.stop()
|
||||
dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
|
||||
|
||||
# Test that the duplicates are removed during migration from schema 23
|
||||
hass = get_test_home_assistant()
|
||||
hass.config.config_dir = tmpdir
|
||||
setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
|
||||
hass.start()
|
||||
wait_recording_done(hass)
|
||||
wait_recording_done(hass)
|
||||
hass.stop()
|
||||
dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
|
||||
|
||||
assert "duplicated statistics rows" not in caplog.text
|
||||
assert "Found non identical" not in caplog.text
|
||||
assert "Deleted duplicated short term statistic" in caplog.text
|
Loading…
x
Reference in New Issue
Block a user