added support for home assistant postgres database and convenience function to get state of entity
This commit is contained in:
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"""Shared utilities for Home Assistant data analysis."""
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from .get_db_session import get_db_session
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from .get_state import get_state
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__all__ = [
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"get_db_session",
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"get_state",
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]
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"""Definition of dataframes."""
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from .sensor_state import SensorStateSchema
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__all__ = [
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"SensorStateSchema",
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]
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"""Definition of SensorStateSchema dataframe schema."""
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from typing import Optional
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import pandera.pandas as pa
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import pandas as pd
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class SensorStateSchema(pa.DataFrameModel):
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"""Schema for sensor state dataframe."""
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time: pd.DatetimeTZDtype = pa.Field(dtype_kwargs={"tz": "UTC"})
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state: Optional[str]
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"""Database connection utilities for Home Assistant PostgreSQL database."""
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import os
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from functools import lru_cache
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from dotenv import load_dotenv
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from sqlalchemy import create_engine, text
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from sqlalchemy.orm import sessionmaker
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# Load environment variables from .env file
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load_dotenv()
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@lru_cache(maxsize=1)
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def _get_engine(echo: bool = False):
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"""Create and cache the database engine (singleton)."""
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required_vars = [
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"POSTGRES_HOST",
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"POSTGRES_PORT",
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"POSTGRES_DB",
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"POSTGRES_USER",
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"POSTGRES_PASSWORD",
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]
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missing_vars = [var for var in required_vars if not os.getenv(var)]
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if missing_vars:
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raise ValueError(f"Missing required environment variables: {', '.join(missing_vars)}")
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connection_string = (
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f"postgresql://{os.getenv('POSTGRES_USER')}:{os.getenv('POSTGRES_PASSWORD')}"
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f"@{os.getenv('POSTGRES_HOST')}:{os.getenv('POSTGRES_PORT')}/{os.getenv('POSTGRES_DB')}"
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)
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return create_engine(connection_string, echo=echo)
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def get_db_session(echo: bool = False) -> sessionmaker:
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"""
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Create a SQLAlchemy sessionmaker for the Home Assistant PostgreSQL database.
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Args:
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echo: If True, log all SQL statements (default: False)
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Returns:
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sessionmaker: Database session maker object
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Raises:
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ValueError: If required environment variables are not set
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"""
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# Create the SQLAlchemy engine
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engine = _get_engine(echo=echo)
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# Create a session maker
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session = sessionmaker(bind=engine)
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# Test connection to database
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with session.begin() as s:
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s.execute(text("SELECT 1"))
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return session
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"""Definition of get_state function."""
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from datetime import datetime, UTC
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from pandera.typing import DataFrame
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import pandas as pd
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import pandera.pandas as pa
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import sqlalchemy as sa
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from utils.database.tables import (
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States,
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StatesMeta,
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)
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from utils.database.dataframes import SensorStateSchema
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from utils.database import get_db_session
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@pa.check_types
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def get_state(
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entity_id: str,
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limit: int | None = None,
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start_time: datetime | None = None,
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end_time: datetime | None = None,
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) -> DataFrame[SensorStateSchema]:
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"""
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Retrieve sensor state data.
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Args:
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entity_id: The entity ID of the sensor.
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limit: Number of recent records to retrieve (default is None for all records).
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start_time: Start of time range (inclusive). If None, no lower bound.
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end_time: End of time range (inclusive). If None, no upper bound.
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Returns:
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DataFrame[SensorStateSchema]: The retrieved sensor state.
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"""
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# Create a new database session
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session = get_db_session()
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# Prepare the base statement
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stmt = (
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sa.select(
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States.state,
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sa.func.to_timestamp(States.last_updated_ts).label("time"),
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)
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.join(
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StatesMeta,
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States.metadata_id == StatesMeta.metadata_id,
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)
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.where(StatesMeta.entity_id == entity_id)
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)
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# Add time range filters if provided
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if start_time is not None:
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start_ts = start_time.astimezone(UTC).timestamp()
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stmt = stmt.where(States.last_updated_ts >= start_ts)
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if end_time is not None:
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end_ts = end_time.astimezone(UTC).timestamp()
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stmt = stmt.where(States.last_updated_ts <= end_ts)
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# Order by time descending and apply limit if specified
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stmt = stmt.order_by(States.last_updated_ts.desc())
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if limit is not None:
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stmt = stmt.limit(limit)
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# Execute query
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with session.begin() as s:
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df = pd.read_sql(stmt, s.connection())
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# Handle empty results
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if len(df) == 0:
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# Create empty DataFrame with correct schema
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empty_df = pd.DataFrame(
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{
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"time": pd.Series([], dtype="datetime64[ns, UTC]"),
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"state": pd.Series([], dtype="object"),
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}
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)
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return DataFrame[SensorStateSchema](empty_df)
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# Reorder columns to match schema definition
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df = df[["time", "state"]]
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# Convert time column to nanosecond precision (PostgreSQL returns microseconds)
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df["time"] = df["time"].dt.as_unit("ns")
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return DataFrame[SensorStateSchema](df)
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"""Database table definitions for Home Assistant PostgreSQL database."""
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from .event_data import EventData
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from .event_types import EventTypes
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from .events import Events
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from .migration_changes import MigrationChanges
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from .recorder_runs import RecorderRuns
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from .schema_changes import SchemaChanges
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from .state_attributes import StateAttributes
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from .states_meta import StatesMeta
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from .states import States
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from .statistics_meta import StatisticsMeta
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from .statistics_runs import StatisticsRuns
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from .statistics_short_term import StatisticsShortTerm
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from .statistics import Statistics
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__all__ = [
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"EventData",
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"EventTypes",
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"Events",
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"MigrationChanges",
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"RecorderRuns",
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"SchemaChanges",
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"StateAttributes",
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"StatesMeta",
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"States",
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"StatisticsMeta",
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"StatisticsRuns",
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"StatisticsShortTerm",
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"Statistics",
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]
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"""Base declarative class for SQLAlchemy ORM models."""
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from sqlalchemy.orm import declarative_base
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Base = declarative_base()
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"""SQLAlchemy model for the 'event_data' table in the Home Assistant PostgreSQL database."""
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from sqlalchemy import Column, BigInteger, Text
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from .base import Base
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class EventData(Base):
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"""SQLAlchemy model for the 'event_data' table."""
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__tablename__ = "event_data"
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__table_args__ = {"schema": "public"}
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data_id = Column(BigInteger, primary_key=True, autoincrement=True)
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hash = Column(BigInteger, nullable=True)
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shared_data = Column(Text, nullable=True)
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"""SQLAlchemy model for the 'event_types' table in the Home Assistant PostgreSQL database."""
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from sqlalchemy import Column, BigInteger, String
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from .base import Base
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class EventTypes(Base):
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"""SQLAlchemy model for the 'event_types' table."""
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__tablename__ = "event_types"
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__table_args__ = {"schema": "public"}
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event_type_id = Column(BigInteger, primary_key=True, autoincrement=True)
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event_type = Column(String(64), nullable=True)
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"""SQLAlchemy model for the 'events' table in the Home Assistant PostgreSQL database."""
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from sqlalchemy import (
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Column,
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BigInteger,
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CHAR,
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SmallInteger,
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TIMESTAMP,
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Float,
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LargeBinary,
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ForeignKey,
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)
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from .base import Base
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class Events(Base):
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"""SQLAlchemy model for the 'events' table."""
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__tablename__ = "events"
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__table_args__ = {"schema": "public"}
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event_id = Column(BigInteger, primary_key=True, autoincrement=True)
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event_type = Column(CHAR(1), nullable=True)
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event_data = Column(CHAR(1), nullable=True)
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origin = Column(CHAR(1), nullable=True)
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origin_idx = Column(SmallInteger, nullable=True)
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time_fired = Column(TIMESTAMP(timezone=True), nullable=True)
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time_fired_ts = Column(Float, nullable=True)
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context_id = Column(CHAR(1), nullable=True)
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context_user_id = Column(CHAR(1), nullable=True)
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context_parent_id = Column(CHAR(1), nullable=True)
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data_id = Column(BigInteger, ForeignKey("public.event_data.data_id"), nullable=True)
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context_id_bin = Column(LargeBinary, nullable=True)
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context_user_id_bin = Column(LargeBinary, nullable=True)
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context_parent_id_bin = Column(LargeBinary, nullable=True)
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event_type_id = Column(
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BigInteger, ForeignKey("public.event_types.event_type_id"), nullable=True
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)
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"""SQLAlchemy model for the 'migration_changes' table in the Home Assistant PostgreSQL database."""
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from sqlalchemy import Column, String, SmallInteger
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from .base import Base
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class MigrationChanges(Base):
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"""SQLAlchemy model for the 'migration_changes' table."""
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__tablename__ = "migration_changes"
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__table_args__ = {"schema": "public"}
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migration_id = Column(String(255), primary_key=True)
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version = Column(SmallInteger, nullable=False)
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"""SQLAlchemy model for the 'recorder_runs' table in the Home Assistant PostgreSQL database."""
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from sqlalchemy import Column, BigInteger, TIMESTAMP, Boolean
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from .base import Base
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class RecorderRuns(Base):
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"""SQLAlchemy model for the 'recorder_runs' table."""
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__tablename__ = "recorder_runs"
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__table_args__ = {"schema": "public"}
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run_id = Column(BigInteger, primary_key=True, autoincrement=True)
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start = Column(TIMESTAMP(timezone=True), nullable=False)
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end = Column(TIMESTAMP(timezone=True), nullable=True)
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closed_incorrect = Column(Boolean, nullable=False)
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created = Column(TIMESTAMP(timezone=True), nullable=False)
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"""SQLAlchemy model for the 'schema_changes' table in the Home Assistant PostgreSQL database."""
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from sqlalchemy import Column, BigInteger, Integer, TIMESTAMP
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from .base import Base
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class SchemaChanges(Base):
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"""SQLAlchemy model for the 'schema_changes' table."""
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__tablename__ = "schema_changes"
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__table_args__ = {"schema": "public"}
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change_id = Column(BigInteger, primary_key=True, autoincrement=True)
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schema_version = Column(Integer, nullable=True)
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changed = Column(TIMESTAMP(timezone=True), nullable=False)
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"""SQLAlchemy model for the 'state_attributes' table in the Home Assistant PostgreSQL database."""
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from sqlalchemy import Column, BigInteger, Text
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from .base import Base
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class StateAttributes(Base):
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"""SQLAlchemy model for the 'state_attributes' table."""
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__tablename__ = "state_attributes"
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__table_args__ = {"schema": "public"}
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attributes_id = Column(BigInteger, primary_key=True, autoincrement=True)
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hash = Column(BigInteger, nullable=True)
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shared_attrs = Column(Text, nullable=True)
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"""SQLAlchemy model for the 'states' table in the Home Assistant PostgreSQL database."""
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from sqlalchemy import (
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Column,
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BigInteger,
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CHAR,
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String,
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SmallInteger,
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TIMESTAMP,
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Float,
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LargeBinary,
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ForeignKey,
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)
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from .base import Base
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class States(Base):
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"""SQLAlchemy model for the 'states' table."""
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__tablename__ = "states"
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__table_args__ = {"schema": "public"}
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state_id = Column(BigInteger, primary_key=True, autoincrement=True)
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entity_id = Column(CHAR(1), nullable=True)
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state = Column(String(255), nullable=True)
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attributes = Column(CHAR(1), nullable=True)
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event_id = Column(SmallInteger, nullable=True)
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last_changed = Column(TIMESTAMP(timezone=True), nullable=True)
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last_changed_ts = Column(Float, nullable=True)
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last_reported_ts = Column(Float, nullable=True)
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last_updated = Column(TIMESTAMP(timezone=True), nullable=True)
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last_updated_ts = Column(Float, nullable=True)
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old_state_id = Column(BigInteger, ForeignKey("public.states.state_id"), nullable=True)
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attributes_id = Column(
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BigInteger, ForeignKey("public.state_attributes.attributes_id"), nullable=True
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)
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context_id = Column(CHAR(1), nullable=True)
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context_user_id = Column(CHAR(1), nullable=True)
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context_parent_id = Column(CHAR(1), nullable=True)
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origin_idx = Column(SmallInteger, nullable=True)
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context_id_bin = Column(LargeBinary, nullable=True)
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||||||
|
context_user_id_bin = Column(LargeBinary, nullable=True)
|
||||||
|
context_parent_id_bin = Column(LargeBinary, nullable=True)
|
||||||
|
metadata_id = Column(BigInteger, ForeignKey("public.states_meta.metadata_id"), nullable=True)
|
||||||
@@ -0,0 +1,15 @@
|
|||||||
|
"""SQLAlchemy model for the 'states_meta' table in the Home Assistant PostgreSQL database."""
|
||||||
|
|
||||||
|
from sqlalchemy import Column, BigInteger, String
|
||||||
|
|
||||||
|
from .base import Base
|
||||||
|
|
||||||
|
|
||||||
|
class StatesMeta(Base):
|
||||||
|
"""SQLAlchemy model for the 'states_meta' table."""
|
||||||
|
|
||||||
|
__tablename__ = "states_meta"
|
||||||
|
__table_args__ = {"schema": "public"}
|
||||||
|
|
||||||
|
metadata_id = Column(BigInteger, primary_key=True, autoincrement=True)
|
||||||
|
entity_id = Column(String(255), nullable=True)
|
||||||
@@ -0,0 +1,29 @@
|
|||||||
|
"""SQLAlchemy model for the 'statistics' table in the Home Assistant PostgreSQL database."""
|
||||||
|
|
||||||
|
from sqlalchemy import Column, BigInteger, TIMESTAMP, Float, ForeignKey
|
||||||
|
|
||||||
|
from .base import Base
|
||||||
|
|
||||||
|
|
||||||
|
class Statistics(Base):
|
||||||
|
"""SQLAlchemy model for the 'statistics' table."""
|
||||||
|
|
||||||
|
__tablename__ = "statistics"
|
||||||
|
__table_args__ = {"schema": "public"}
|
||||||
|
|
||||||
|
id = Column(BigInteger, primary_key=True, autoincrement=True)
|
||||||
|
created = Column(TIMESTAMP(timezone=True), nullable=True)
|
||||||
|
created_ts = Column(Float, nullable=True)
|
||||||
|
metadata_id = Column(
|
||||||
|
BigInteger, ForeignKey("public.statistics_meta.id", ondelete="CASCADE"), nullable=True
|
||||||
|
)
|
||||||
|
start = Column(TIMESTAMP(timezone=True), nullable=True)
|
||||||
|
start_ts = Column(Float, nullable=True)
|
||||||
|
mean = Column(Float, nullable=True)
|
||||||
|
mean_weight = Column(Float, nullable=True)
|
||||||
|
min = Column(Float, nullable=True)
|
||||||
|
max = Column(Float, nullable=True)
|
||||||
|
last_reset = Column(TIMESTAMP(timezone=True), nullable=True)
|
||||||
|
last_reset_ts = Column(Float, nullable=True)
|
||||||
|
state = Column(Float, nullable=True)
|
||||||
|
sum = Column(Float, nullable=True)
|
||||||
@@ -0,0 +1,22 @@
|
|||||||
|
"""SQLAlchemy model for the 'statistics_meta' table in the Home Assistant PostgreSQL database."""
|
||||||
|
|
||||||
|
from sqlalchemy import Column, BigInteger, String, Boolean, SmallInteger
|
||||||
|
|
||||||
|
from .base import Base
|
||||||
|
|
||||||
|
|
||||||
|
class StatisticsMeta(Base):
|
||||||
|
"""SQLAlchemy model for the 'statistics_meta' table."""
|
||||||
|
|
||||||
|
__tablename__ = "statistics_meta"
|
||||||
|
__table_args__ = {"schema": "public"}
|
||||||
|
|
||||||
|
id = Column(BigInteger, primary_key=True, autoincrement=True)
|
||||||
|
statistic_id = Column(String(255), nullable=True)
|
||||||
|
source = Column(String(32), nullable=True)
|
||||||
|
unit_of_measurement = Column(String(255), nullable=True)
|
||||||
|
unit_class = Column(String(255), nullable=True)
|
||||||
|
has_mean = Column(Boolean, nullable=True)
|
||||||
|
has_sum = Column(Boolean, nullable=True)
|
||||||
|
name = Column(String(255), nullable=True)
|
||||||
|
mean_type = Column(SmallInteger, nullable=False)
|
||||||
@@ -0,0 +1,15 @@
|
|||||||
|
"""SQLAlchemy model for the 'statistics_runs' table in the Home Assistant PostgreSQL database."""
|
||||||
|
|
||||||
|
from sqlalchemy import Column, BigInteger, TIMESTAMP
|
||||||
|
|
||||||
|
from .base import Base
|
||||||
|
|
||||||
|
|
||||||
|
class StatisticsRuns(Base):
|
||||||
|
"""SQLAlchemy model for the 'statistics_runs' table."""
|
||||||
|
|
||||||
|
__tablename__ = "statistics_runs"
|
||||||
|
__table_args__ = {"schema": "public"}
|
||||||
|
|
||||||
|
run_id = Column(BigInteger, primary_key=True, autoincrement=True)
|
||||||
|
start = Column(TIMESTAMP(timezone=True), nullable=False)
|
||||||
@@ -0,0 +1,29 @@
|
|||||||
|
"""SQLAlchemy model for the 'statistics_short_term' table in the Home Assistant PostgreSQL database."""
|
||||||
|
|
||||||
|
from sqlalchemy import Column, BigInteger, TIMESTAMP, Float, ForeignKey
|
||||||
|
|
||||||
|
from .base import Base
|
||||||
|
|
||||||
|
|
||||||
|
class StatisticsShortTerm(Base):
|
||||||
|
"""SQLAlchemy model for the 'statistics_short_term' table."""
|
||||||
|
|
||||||
|
__tablename__ = "statistics_short_term"
|
||||||
|
__table_args__ = {"schema": "public"}
|
||||||
|
|
||||||
|
id = Column(BigInteger, primary_key=True, autoincrement=True)
|
||||||
|
created = Column(TIMESTAMP(timezone=True), nullable=True)
|
||||||
|
created_ts = Column(Float, nullable=True)
|
||||||
|
metadata_id = Column(
|
||||||
|
BigInteger, ForeignKey("public.statistics_meta.id", ondelete="CASCADE"), nullable=True
|
||||||
|
)
|
||||||
|
start = Column(TIMESTAMP(timezone=True), nullable=True)
|
||||||
|
start_ts = Column(Float, nullable=True)
|
||||||
|
mean = Column(Float, nullable=True)
|
||||||
|
mean_weight = Column(Float, nullable=True)
|
||||||
|
min = Column(Float, nullable=True)
|
||||||
|
max = Column(Float, nullable=True)
|
||||||
|
last_reset = Column(TIMESTAMP(timezone=True), nullable=True)
|
||||||
|
last_reset_ts = Column(Float, nullable=True)
|
||||||
|
state = Column(Float, nullable=True)
|
||||||
|
sum = Column(Float, nullable=True)
|
||||||
Reference in New Issue
Block a user