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mirror of https://github.com/home-assistant/core synced 2024-08-02 23:40:32 +02:00
ha-core/homeassistant/components/recorder/models.py
2021-09-29 11:42:39 -07:00

587 lines
18 KiB
Python

"""Models for SQLAlchemy."""
from __future__ import annotations
from collections.abc import Iterable
from datetime import datetime, timedelta
import json
import logging
from typing import TypedDict, overload
from sqlalchemy import (
Boolean,
Column,
DateTime,
Float,
ForeignKey,
Identity,
Index,
Integer,
String,
Text,
distinct,
)
from sqlalchemy.dialects import mysql, oracle, postgresql
from sqlalchemy.ext.declarative import declared_attr
from sqlalchemy.orm import declarative_base, relationship
from sqlalchemy.orm.session import Session
from homeassistant.const import (
MAX_LENGTH_EVENT_CONTEXT_ID,
MAX_LENGTH_EVENT_EVENT_TYPE,
MAX_LENGTH_EVENT_ORIGIN,
MAX_LENGTH_STATE_DOMAIN,
MAX_LENGTH_STATE_ENTITY_ID,
MAX_LENGTH_STATE_STATE,
)
from homeassistant.core import Context, Event, EventOrigin, State, split_entity_id
from homeassistant.helpers.json import JSONEncoder
import homeassistant.util.dt as dt_util
# SQLAlchemy Schema
# pylint: disable=invalid-name
Base = declarative_base()
SCHEMA_VERSION = 22
_LOGGER = logging.getLogger(__name__)
DB_TIMEZONE = "+00:00"
TABLE_EVENTS = "events"
TABLE_STATES = "states"
TABLE_RECORDER_RUNS = "recorder_runs"
TABLE_SCHEMA_CHANGES = "schema_changes"
TABLE_STATISTICS = "statistics"
TABLE_STATISTICS_META = "statistics_meta"
TABLE_STATISTICS_RUNS = "statistics_runs"
TABLE_STATISTICS_SHORT_TERM = "statistics_short_term"
ALL_TABLES = [
TABLE_STATES,
TABLE_EVENTS,
TABLE_RECORDER_RUNS,
TABLE_SCHEMA_CHANGES,
TABLE_STATISTICS,
TABLE_STATISTICS_META,
TABLE_STATISTICS_RUNS,
TABLE_STATISTICS_SHORT_TERM,
]
DATETIME_TYPE = DateTime(timezone=True).with_variant(
mysql.DATETIME(timezone=True, fsp=6), "mysql"
)
DOUBLE_TYPE = (
Float()
.with_variant(mysql.DOUBLE(asdecimal=False), "mysql")
.with_variant(oracle.DOUBLE_PRECISION(), "oracle")
.with_variant(postgresql.DOUBLE_PRECISION(), "postgresql")
)
class Events(Base): # type: ignore
"""Event history data."""
__table_args__ = (
# Used for fetching events at a specific time
# see logbook
Index("ix_events_event_type_time_fired", "event_type", "time_fired"),
{"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
)
__tablename__ = TABLE_EVENTS
event_id = Column(Integer, Identity(), primary_key=True)
event_type = Column(String(MAX_LENGTH_EVENT_EVENT_TYPE))
event_data = Column(Text().with_variant(mysql.LONGTEXT, "mysql"))
origin = Column(String(MAX_LENGTH_EVENT_ORIGIN))
time_fired = Column(DATETIME_TYPE, index=True)
created = Column(DATETIME_TYPE, default=dt_util.utcnow)
context_id = Column(String(MAX_LENGTH_EVENT_CONTEXT_ID), index=True)
context_user_id = Column(String(MAX_LENGTH_EVENT_CONTEXT_ID), index=True)
context_parent_id = Column(String(MAX_LENGTH_EVENT_CONTEXT_ID), index=True)
def __repr__(self) -> str:
"""Return string representation of instance for debugging."""
return (
f"<recorder.Events("
f"id={self.event_id}, type='{self.event_type}', data='{self.event_data}', "
f"origin='{self.origin}', time_fired='{self.time_fired}'"
f")>"
)
@staticmethod
def from_event(event, event_data=None):
"""Create an event database object from a native event."""
return Events(
event_type=event.event_type,
event_data=event_data
or json.dumps(event.data, cls=JSONEncoder, separators=(",", ":")),
origin=str(event.origin.value),
time_fired=event.time_fired,
context_id=event.context.id,
context_user_id=event.context.user_id,
context_parent_id=event.context.parent_id,
)
def to_native(self, validate_entity_id=True):
"""Convert to a native HA Event."""
context = Context(
id=self.context_id,
user_id=self.context_user_id,
parent_id=self.context_parent_id,
)
try:
return Event(
self.event_type,
json.loads(self.event_data),
EventOrigin(self.origin),
process_timestamp(self.time_fired),
context=context,
)
except ValueError:
# When json.loads fails
_LOGGER.exception("Error converting to event: %s", self)
return None
class States(Base): # type: ignore
"""State change history."""
__table_args__ = (
# Used for fetching the state of entities at a specific time
# (get_states in history.py)
Index("ix_states_entity_id_last_updated", "entity_id", "last_updated"),
{"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
)
__tablename__ = TABLE_STATES
state_id = Column(Integer, Identity(), primary_key=True)
domain = Column(String(MAX_LENGTH_STATE_DOMAIN))
entity_id = Column(String(MAX_LENGTH_STATE_ENTITY_ID))
state = Column(String(MAX_LENGTH_STATE_STATE))
attributes = Column(Text().with_variant(mysql.LONGTEXT, "mysql"))
event_id = Column(
Integer, ForeignKey("events.event_id", ondelete="CASCADE"), index=True
)
last_changed = Column(DATETIME_TYPE, default=dt_util.utcnow)
last_updated = Column(DATETIME_TYPE, default=dt_util.utcnow, index=True)
created = Column(DATETIME_TYPE, default=dt_util.utcnow)
old_state_id = Column(Integer, ForeignKey("states.state_id"), index=True)
event = relationship("Events", uselist=False)
old_state = relationship("States", remote_side=[state_id])
def __repr__(self) -> str:
"""Return string representation of instance for debugging."""
return (
f"<recorder.States("
f"id={self.state_id}, domain='{self.domain}', entity_id='{self.entity_id}', "
f"state='{self.state}', event_id='{self.event_id}', "
f"last_updated='{self.last_updated.isoformat(sep=' ', timespec='seconds')}', "
f"old_state_id={self.old_state_id}"
f")>"
)
@staticmethod
def from_event(event):
"""Create object from a state_changed event."""
entity_id = event.data["entity_id"]
state = event.data.get("new_state")
dbstate = States(entity_id=entity_id)
# State got deleted
if state is None:
dbstate.state = ""
dbstate.domain = split_entity_id(entity_id)[0]
dbstate.attributes = "{}"
dbstate.last_changed = event.time_fired
dbstate.last_updated = event.time_fired
else:
dbstate.domain = state.domain
dbstate.state = state.state
dbstate.attributes = json.dumps(
dict(state.attributes), cls=JSONEncoder, separators=(",", ":")
)
dbstate.last_changed = state.last_changed
dbstate.last_updated = state.last_updated
return dbstate
def to_native(self, validate_entity_id=True):
"""Convert to an HA state object."""
try:
return State(
self.entity_id,
self.state,
json.loads(self.attributes),
process_timestamp(self.last_changed),
process_timestamp(self.last_updated),
# Join the events table on event_id to get the context instead
# as it will always be there for state_changed events
context=Context(id=None),
validate_entity_id=validate_entity_id,
)
except ValueError:
# When json.loads fails
_LOGGER.exception("Error converting row to state: %s", self)
return None
class StatisticResult(TypedDict):
"""Statistic result data class.
Allows multiple datapoints for the same statistic_id.
"""
meta: StatisticMetaData
stat: Iterable[StatisticData]
class StatisticDataBase(TypedDict):
"""Mandatory fields for statistic data class."""
start: datetime
class StatisticData(StatisticDataBase, total=False):
"""Statistic data class."""
mean: float
min: float
max: float
last_reset: datetime | None
state: float
sum: float
class StatisticsBase:
"""Statistics base class."""
id = Column(Integer, Identity(), primary_key=True)
created = Column(DATETIME_TYPE, default=dt_util.utcnow)
@declared_attr
def metadata_id(self):
"""Define the metadata_id column for sub classes."""
return Column(
Integer,
ForeignKey(f"{TABLE_STATISTICS_META}.id", ondelete="CASCADE"),
index=True,
)
start = Column(DATETIME_TYPE, index=True)
mean = Column(DOUBLE_TYPE)
min = Column(DOUBLE_TYPE)
max = Column(DOUBLE_TYPE)
last_reset = Column(DATETIME_TYPE)
state = Column(DOUBLE_TYPE)
sum = Column(DOUBLE_TYPE)
@classmethod
def from_stats(cls, metadata_id: int, stats: StatisticData):
"""Create object from a statistics."""
return cls( # type: ignore
metadata_id=metadata_id,
**stats,
)
class Statistics(Base, StatisticsBase): # type: ignore
"""Long term statistics."""
duration = timedelta(hours=1)
__table_args__ = (
# Used for fetching statistics for a certain entity at a specific time
Index("ix_statistics_statistic_id_start", "metadata_id", "start"),
)
__tablename__ = TABLE_STATISTICS
class StatisticsShortTerm(Base, StatisticsBase): # type: ignore
"""Short term statistics."""
duration = timedelta(minutes=5)
__table_args__ = (
# Used for fetching statistics for a certain entity at a specific time
Index("ix_statistics_short_term_statistic_id_start", "metadata_id", "start"),
)
__tablename__ = TABLE_STATISTICS_SHORT_TERM
class StatisticMetaData(TypedDict):
"""Statistic meta data class."""
statistic_id: str
unit_of_measurement: str | None
has_mean: bool
has_sum: bool
class StatisticsMeta(Base): # type: ignore
"""Statistics meta data."""
__table_args__ = (
{"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
)
__tablename__ = TABLE_STATISTICS_META
id = Column(Integer, Identity(), primary_key=True)
statistic_id = Column(String(255), index=True)
source = Column(String(32))
unit_of_measurement = Column(String(255))
has_mean = Column(Boolean)
has_sum = Column(Boolean)
@staticmethod
def from_meta(
source: str,
statistic_id: str,
unit_of_measurement: str | None,
has_mean: bool,
has_sum: bool,
) -> StatisticsMeta:
"""Create object from meta data."""
return StatisticsMeta(
source=source,
statistic_id=statistic_id,
unit_of_measurement=unit_of_measurement,
has_mean=has_mean,
has_sum=has_sum,
)
class RecorderRuns(Base): # type: ignore
"""Representation of recorder run."""
__table_args__ = (Index("ix_recorder_runs_start_end", "start", "end"),)
__tablename__ = TABLE_RECORDER_RUNS
run_id = Column(Integer, Identity(), primary_key=True)
start = Column(DateTime(timezone=True), default=dt_util.utcnow)
end = Column(DateTime(timezone=True))
closed_incorrect = Column(Boolean, default=False)
created = Column(DateTime(timezone=True), default=dt_util.utcnow)
def __repr__(self) -> str:
"""Return string representation of instance for debugging."""
end = (
f"'{self.end.isoformat(sep=' ', timespec='seconds')}'" if self.end else None
)
return (
f"<recorder.RecorderRuns("
f"id={self.run_id}, start='{self.start.isoformat(sep=' ', timespec='seconds')}', "
f"end={end}, closed_incorrect={self.closed_incorrect}, "
f"created='{self.created.isoformat(sep=' ', timespec='seconds')}'"
f")>"
)
def entity_ids(self, point_in_time=None):
"""Return the entity ids that existed in this run.
Specify point_in_time if you want to know which existed at that point
in time inside the run.
"""
session = Session.object_session(self)
assert session is not None, "RecorderRuns need to be persisted"
query = session.query(distinct(States.entity_id)).filter(
States.last_updated >= self.start
)
if point_in_time is not None:
query = query.filter(States.last_updated < point_in_time)
elif self.end is not None:
query = query.filter(States.last_updated < self.end)
return [row[0] for row in query]
def to_native(self, validate_entity_id=True):
"""Return self, native format is this model."""
return self
class SchemaChanges(Base): # type: ignore
"""Representation of schema version changes."""
__tablename__ = TABLE_SCHEMA_CHANGES
change_id = Column(Integer, Identity(), primary_key=True)
schema_version = Column(Integer)
changed = Column(DateTime(timezone=True), default=dt_util.utcnow)
def __repr__(self) -> str:
"""Return string representation of instance for debugging."""
return (
f"<recorder.SchemaChanges("
f"id={self.change_id}, schema_version={self.schema_version}, "
f"changed='{self.changed.isoformat(sep=' ', timespec='seconds')}'"
f")>"
)
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:
...
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
)