Fix statistics for sensors setting last_reset (#55136)
* Re-add state_class total to sensor * Make energy cost sensor enforce state_class total_increasing * Drop state_class total * Only report energy sensor issues oncepull/55161/head
parent
8d3ccad38e
commit
8877f37da0
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@ -6,6 +6,7 @@ import logging
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from typing import Any, Final, Literal, TypeVar, cast
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from homeassistant.components.sensor import (
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ATTR_STATE_CLASS,
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DEVICE_CLASS_MONETARY,
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STATE_CLASS_TOTAL_INCREASING,
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SensorEntity,
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@ -188,6 +189,9 @@ class EnergyCostSensor(SensorEntity):
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utility.
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"""
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_wrong_state_class_reported = False
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_wrong_unit_reported = False
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def __init__(
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self,
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adapter: SourceAdapter,
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@ -223,6 +227,18 @@ class EnergyCostSensor(SensorEntity):
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if energy_state is None:
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return
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if (
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state_class := energy_state.attributes.get(ATTR_STATE_CLASS)
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) != STATE_CLASS_TOTAL_INCREASING:
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if not self._wrong_state_class_reported:
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self._wrong_state_class_reported = True
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_LOGGER.warning(
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"Found unexpected state_class %s for %s",
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state_class,
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energy_state.entity_id,
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)
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return
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try:
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energy = float(energy_state.state)
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except ValueError:
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@ -272,9 +288,13 @@ class EnergyCostSensor(SensorEntity):
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energy_unit = None
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if energy_unit is None:
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_LOGGER.warning(
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"Found unexpected unit %s for %s", energy_unit, energy_state.entity_id
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)
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if not self._wrong_unit_reported:
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self._wrong_unit_reported = True
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_LOGGER.warning(
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"Found unexpected unit %s for %s",
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energy_state.attributes.get(ATTR_UNIT_OF_MEASUREMENT),
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energy_state.entity_id,
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)
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return
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if energy < float(self._last_energy_sensor_state):
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@ -226,6 +226,7 @@ class StatisticData(TypedDict, total=False):
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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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@ -249,6 +250,7 @@ class Statistics(Base): # type: ignore
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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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@ -44,6 +44,7 @@ QUERY_STATISTICS = [
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Statistics.mean,
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Statistics.min,
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Statistics.max,
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Statistics.last_reset,
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Statistics.state,
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Statistics.sum,
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]
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@ -382,6 +383,7 @@ def _sorted_statistics_to_dict(
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"mean": convert(db_state.mean, units),
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"min": convert(db_state.min, units),
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"max": convert(db_state.max, units),
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"last_reset": _process_timestamp_to_utc_isoformat(db_state.last_reset),
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"state": convert(db_state.state, units),
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"sum": convert(db_state.sum, units),
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}
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@ -42,6 +42,7 @@ from homeassistant.const import (
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VOLUME_CUBIC_METERS,
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)
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from homeassistant.core import HomeAssistant, State
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import homeassistant.util.dt as dt_util
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import homeassistant.util.pressure as pressure_util
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import homeassistant.util.temperature as temperature_util
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import homeassistant.util.volume as volume_util
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@ -273,11 +274,13 @@ def compile_statistics(
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stat["mean"] = _time_weighted_average(fstates, start, end)
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if "sum" in wanted_statistics:
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last_reset = old_last_reset = None
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new_state = old_state = None
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_sum = 0
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last_stats = statistics.get_last_statistics(hass, 1, entity_id)
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if entity_id in last_stats:
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# We have compiled history for this sensor before, use that as a starting point
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last_reset = old_last_reset = last_stats[entity_id][0]["last_reset"]
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new_state = old_state = last_stats[entity_id][0]["state"]
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_sum = last_stats[entity_id][0]["sum"]
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@ -291,7 +294,13 @@ def compile_statistics(
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continue
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reset = False
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if old_state is None:
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if (
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state_class != STATE_CLASS_TOTAL_INCREASING
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and (last_reset := state.attributes.get("last_reset"))
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!= old_last_reset
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):
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reset = True
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elif old_state is None and last_reset is None:
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reset = True
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_LOGGER.info(
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"Compiling initial sum statistics for %s, zero point set to %s",
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@ -315,14 +324,24 @@ def compile_statistics(
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_sum += new_state - old_state
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# ..and update the starting point
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new_state = fstate
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# Force a new cycle to start at 0
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if old_state is not None:
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old_last_reset = last_reset
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# Force a new cycle for STATE_CLASS_TOTAL_INCREASING to start at 0
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if (
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state_class == STATE_CLASS_TOTAL_INCREASING
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and old_state is not None
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):
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old_state = 0.0
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else:
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old_state = new_state
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else:
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new_state = fstate
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# Deprecated, will be removed in Home Assistant 2021.11
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if last_reset is None and state_class == STATE_CLASS_MEASUREMENT:
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# No valid updates
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result.pop(entity_id)
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continue
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if new_state is None or old_state is None:
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# No valid updates
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result.pop(entity_id)
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@ -330,6 +349,8 @@ def compile_statistics(
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# Update the sum with the last state
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_sum += new_state - old_state
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if last_reset is not None:
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stat["last_reset"] = dt_util.parse_datetime(last_reset)
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stat["sum"] = _sum
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stat["state"] = new_state
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@ -17,6 +17,7 @@ from homeassistant.const import (
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DEVICE_CLASS_MONETARY,
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ENERGY_KILO_WATT_HOUR,
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ENERGY_WATT_HOUR,
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STATE_UNKNOWN,
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VOLUME_CUBIC_METERS,
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)
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from homeassistant.setup import async_setup_component
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@ -93,6 +94,11 @@ async def test_cost_sensor_price_entity(
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def _compile_statistics(_):
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return compile_statistics(hass, now, now + timedelta(seconds=1))
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energy_attributes = {
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ATTR_UNIT_OF_MEASUREMENT: ENERGY_KILO_WATT_HOUR,
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ATTR_STATE_CLASS: STATE_CLASS_TOTAL_INCREASING,
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}
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await async_init_recorder_component(hass)
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energy_data = data.EnergyManager.default_preferences()
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energy_data["energy_sources"].append(
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@ -136,7 +142,7 @@ async def test_cost_sensor_price_entity(
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hass.states.async_set(
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usage_sensor_entity_id,
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initial_energy,
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{ATTR_UNIT_OF_MEASUREMENT: ENERGY_KILO_WATT_HOUR},
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energy_attributes,
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)
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hass.states.async_set("sensor.energy_price", "1")
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@ -155,9 +161,7 @@ async def test_cost_sensor_price_entity(
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hass.states.async_set(
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usage_sensor_entity_id,
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"0",
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{
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ATTR_UNIT_OF_MEASUREMENT: ENERGY_KILO_WATT_HOUR,
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},
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energy_attributes,
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)
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await hass.async_block_till_done()
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@ -176,7 +180,7 @@ async def test_cost_sensor_price_entity(
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hass.states.async_set(
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usage_sensor_entity_id,
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"10",
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{ATTR_UNIT_OF_MEASUREMENT: ENERGY_KILO_WATT_HOUR},
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energy_attributes,
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)
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await hass.async_block_till_done()
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state = hass.states.get(cost_sensor_entity_id)
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@ -200,7 +204,7 @@ async def test_cost_sensor_price_entity(
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hass.states.async_set(
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usage_sensor_entity_id,
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"14.5",
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{ATTR_UNIT_OF_MEASUREMENT: ENERGY_KILO_WATT_HOUR},
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energy_attributes,
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)
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await hass.async_block_till_done()
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state = hass.states.get(cost_sensor_entity_id)
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@ -216,7 +220,7 @@ async def test_cost_sensor_price_entity(
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hass.states.async_set(
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usage_sensor_entity_id,
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"4",
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{ATTR_UNIT_OF_MEASUREMENT: ENERGY_KILO_WATT_HOUR},
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energy_attributes,
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)
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await hass.async_block_till_done()
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state = hass.states.get(cost_sensor_entity_id)
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@ -226,7 +230,7 @@ async def test_cost_sensor_price_entity(
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hass.states.async_set(
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usage_sensor_entity_id,
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"10",
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{ATTR_UNIT_OF_MEASUREMENT: ENERGY_KILO_WATT_HOUR},
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energy_attributes,
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)
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await hass.async_block_till_done()
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state = hass.states.get(cost_sensor_entity_id)
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@ -241,6 +245,10 @@ async def test_cost_sensor_price_entity(
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async def test_cost_sensor_handle_wh(hass, hass_storage) -> None:
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"""Test energy cost price from sensor entity."""
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energy_attributes = {
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ATTR_UNIT_OF_MEASUREMENT: ENERGY_WATT_HOUR,
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ATTR_STATE_CLASS: STATE_CLASS_TOTAL_INCREASING,
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}
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energy_data = data.EnergyManager.default_preferences()
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energy_data["energy_sources"].append(
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{
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@ -269,7 +277,7 @@ async def test_cost_sensor_handle_wh(hass, hass_storage) -> None:
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hass.states.async_set(
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"sensor.energy_consumption",
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10000,
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{"unit_of_measurement": ENERGY_WATT_HOUR},
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energy_attributes,
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)
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with patch("homeassistant.util.dt.utcnow", return_value=now):
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@ -282,7 +290,7 @@ async def test_cost_sensor_handle_wh(hass, hass_storage) -> None:
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hass.states.async_set(
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"sensor.energy_consumption",
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20000,
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{"unit_of_measurement": ENERGY_WATT_HOUR},
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energy_attributes,
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)
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await hass.async_block_till_done()
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@ -292,6 +300,10 @@ async def test_cost_sensor_handle_wh(hass, hass_storage) -> None:
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async def test_cost_sensor_handle_gas(hass, hass_storage) -> None:
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"""Test gas cost price from sensor entity."""
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energy_attributes = {
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ATTR_UNIT_OF_MEASUREMENT: VOLUME_CUBIC_METERS,
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ATTR_STATE_CLASS: STATE_CLASS_TOTAL_INCREASING,
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}
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energy_data = data.EnergyManager.default_preferences()
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energy_data["energy_sources"].append(
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{
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@ -314,7 +326,7 @@ async def test_cost_sensor_handle_gas(hass, hass_storage) -> None:
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hass.states.async_set(
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"sensor.gas_consumption",
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100,
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{"unit_of_measurement": VOLUME_CUBIC_METERS},
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energy_attributes,
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)
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with patch("homeassistant.util.dt.utcnow", return_value=now):
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@ -327,9 +339,71 @@ async def test_cost_sensor_handle_gas(hass, hass_storage) -> None:
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hass.states.async_set(
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"sensor.gas_consumption",
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200,
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{"unit_of_measurement": VOLUME_CUBIC_METERS},
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energy_attributes,
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)
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await hass.async_block_till_done()
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state = hass.states.get("sensor.gas_consumption_cost")
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assert state.state == "50.0"
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@pytest.mark.parametrize("state_class", [None])
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async def test_cost_sensor_wrong_state_class(
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hass, hass_storage, caplog, state_class
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) -> None:
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"""Test energy sensor rejects wrong state_class."""
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energy_attributes = {
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ATTR_UNIT_OF_MEASUREMENT: ENERGY_KILO_WATT_HOUR,
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ATTR_STATE_CLASS: state_class,
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}
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energy_data = data.EnergyManager.default_preferences()
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energy_data["energy_sources"].append(
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{
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"type": "grid",
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"flow_from": [
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{
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"stat_energy_from": "sensor.energy_consumption",
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"entity_energy_from": "sensor.energy_consumption",
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"stat_cost": None,
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"entity_energy_price": None,
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"number_energy_price": 0.5,
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}
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],
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"flow_to": [],
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"cost_adjustment_day": 0,
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}
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)
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hass_storage[data.STORAGE_KEY] = {
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"version": 1,
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"data": energy_data,
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}
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now = dt_util.utcnow()
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hass.states.async_set(
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"sensor.energy_consumption",
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10000,
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energy_attributes,
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)
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with patch("homeassistant.util.dt.utcnow", return_value=now):
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await setup_integration(hass)
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state = hass.states.get("sensor.energy_consumption_cost")
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assert state.state == STATE_UNKNOWN
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assert (
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f"Found unexpected state_class {state_class} for sensor.energy_consumption"
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in caplog.text
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)
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# Energy use bumped to 10 kWh
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hass.states.async_set(
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"sensor.energy_consumption",
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20000,
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energy_attributes,
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)
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await hass.async_block_till_done()
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state = hass.states.get("sensor.energy_consumption_cost")
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assert state.state == STATE_UNKNOWN
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@ -911,6 +911,7 @@ async def test_statistics_during_period(
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"mean": approx(value),
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"min": approx(value),
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"max": approx(value),
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"last_reset": None,
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"state": None,
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"sum": None,
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}
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|
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@ -44,6 +44,7 @@ def test_compile_hourly_statistics(hass_recorder):
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"mean": approx(14.915254237288135),
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"min": approx(10.0),
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"max": approx(20.0),
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"last_reset": None,
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"state": None,
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"sum": None,
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}
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@ -53,6 +54,7 @@ def test_compile_hourly_statistics(hass_recorder):
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"mean": approx(20.0),
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"min": approx(20.0),
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"max": approx(20.0),
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"last_reset": None,
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"state": None,
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"sum": None,
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}
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@ -125,6 +127,7 @@ def test_rename_entity(hass_recorder):
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"mean": approx(14.915254237288135),
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"min": approx(10.0),
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"max": approx(20.0),
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"last_reset": None,
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"state": None,
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"sum": None,
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}
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|
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@ -95,6 +95,7 @@ def test_compile_hourly_statistics(
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"mean": approx(mean),
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"min": approx(min),
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"max": approx(max),
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"last_reset": None,
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"state": None,
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"sum": None,
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}
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|
@ -144,6 +145,7 @@ def test_compile_hourly_statistics_unsupported(hass_recorder, caplog, attributes
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"mean": approx(16.440677966101696),
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"min": approx(10.0),
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"max": approx(30.0),
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"last_reset": None,
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"state": None,
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"sum": None,
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}
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@ -152,6 +154,7 @@ def test_compile_hourly_statistics_unsupported(hass_recorder, caplog, attributes
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assert "Error while processing event StatisticsTask" not in caplog.text
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@pytest.mark.parametrize("state_class", ["measurement"])
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@pytest.mark.parametrize(
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"device_class,unit,native_unit,factor",
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[
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@ -164,7 +167,7 @@ def test_compile_hourly_statistics_unsupported(hass_recorder, caplog, attributes
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],
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)
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def test_compile_hourly_sum_statistics_amount(
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hass_recorder, caplog, device_class, unit, native_unit, factor
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hass_recorder, caplog, state_class, device_class, unit, native_unit, factor
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):
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"""Test compiling hourly statistics."""
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zero = dt_util.utcnow()
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|
@ -173,7 +176,7 @@ def test_compile_hourly_sum_statistics_amount(
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setup_component(hass, "sensor", {})
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attributes = {
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"device_class": device_class,
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"state_class": "measurement",
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"state_class": state_class,
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"unit_of_measurement": unit,
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"last_reset": None,
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}
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@ -206,6 +209,7 @@ def test_compile_hourly_sum_statistics_amount(
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"max": None,
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"mean": None,
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"min": None,
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"last_reset": process_timestamp_to_utc_isoformat(zero),
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"state": approx(factor * seq[2]),
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"sum": approx(factor * 10.0),
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},
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|
@ -215,8 +219,9 @@ def test_compile_hourly_sum_statistics_amount(
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(factor * seq[5]),
|
||||
"sum": approx(factor * 30.0),
|
||||
"sum": approx(factor * 10.0),
|
||||
},
|
||||
{
|
||||
"statistic_id": "sensor.test1",
|
||||
|
@ -224,8 +229,9 @@ def test_compile_hourly_sum_statistics_amount(
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(factor * seq[8]),
|
||||
"sum": approx(factor * 60.0),
|
||||
"sum": approx(factor * 40.0),
|
||||
},
|
||||
]
|
||||
}
|
||||
|
@ -283,6 +289,7 @@ def test_compile_hourly_sum_statistics_total_increasing(
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": None,
|
||||
"state": approx(factor * seq[2]),
|
||||
"sum": approx(factor * 10.0),
|
||||
},
|
||||
|
@ -292,6 +299,7 @@ def test_compile_hourly_sum_statistics_total_increasing(
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": None,
|
||||
"state": approx(factor * seq[5]),
|
||||
"sum": approx(factor * 50.0),
|
||||
},
|
||||
|
@ -301,6 +309,7 @@ def test_compile_hourly_sum_statistics_total_increasing(
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": None,
|
||||
"state": approx(factor * seq[8]),
|
||||
"sum": approx(factor * 80.0),
|
||||
},
|
||||
|
@ -367,6 +376,7 @@ def test_compile_hourly_energy_statistics_unsupported(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(zero),
|
||||
"state": approx(20.0),
|
||||
"sum": approx(10.0),
|
||||
},
|
||||
|
@ -376,8 +386,9 @@ def test_compile_hourly_energy_statistics_unsupported(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(40.0),
|
||||
"sum": approx(30.0),
|
||||
"sum": approx(10.0),
|
||||
},
|
||||
{
|
||||
"statistic_id": "sensor.test1",
|
||||
|
@ -385,8 +396,9 @@ def test_compile_hourly_energy_statistics_unsupported(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(70.0),
|
||||
"sum": approx(60.0),
|
||||
"sum": approx(40.0),
|
||||
},
|
||||
]
|
||||
}
|
||||
|
@ -447,6 +459,7 @@ def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(zero),
|
||||
"state": approx(20.0),
|
||||
"sum": approx(10.0),
|
||||
},
|
||||
|
@ -456,8 +469,9 @@ def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(40.0),
|
||||
"sum": approx(30.0),
|
||||
"sum": approx(10.0),
|
||||
},
|
||||
{
|
||||
"statistic_id": "sensor.test1",
|
||||
|
@ -465,8 +479,9 @@ def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(70.0),
|
||||
"sum": approx(60.0),
|
||||
"sum": approx(40.0),
|
||||
},
|
||||
],
|
||||
"sensor.test2": [
|
||||
|
@ -476,6 +491,7 @@ def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(zero),
|
||||
"state": approx(130.0),
|
||||
"sum": approx(20.0),
|
||||
},
|
||||
|
@ -485,8 +501,9 @@ def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(45.0),
|
||||
"sum": approx(-65.0),
|
||||
"sum": approx(-95.0),
|
||||
},
|
||||
{
|
||||
"statistic_id": "sensor.test2",
|
||||
|
@ -494,8 +511,9 @@ def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(75.0),
|
||||
"sum": approx(-35.0),
|
||||
"sum": approx(-65.0),
|
||||
},
|
||||
],
|
||||
"sensor.test3": [
|
||||
|
@ -505,6 +523,7 @@ def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(zero),
|
||||
"state": approx(5.0 / 1000),
|
||||
"sum": approx(5.0 / 1000),
|
||||
},
|
||||
|
@ -514,8 +533,9 @@ def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(50.0 / 1000),
|
||||
"sum": approx(50.0 / 1000),
|
||||
"sum": approx(30.0 / 1000),
|
||||
},
|
||||
{
|
||||
"statistic_id": "sensor.test3",
|
||||
|
@ -523,8 +543,9 @@ def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
|
|||
"max": None,
|
||||
"mean": None,
|
||||
"min": None,
|
||||
"last_reset": process_timestamp_to_utc_isoformat(four),
|
||||
"state": approx(90.0 / 1000),
|
||||
"sum": approx(90.0 / 1000),
|
||||
"sum": approx(70.0 / 1000),
|
||||
},
|
||||
],
|
||||
}
|
||||
|
@ -575,6 +596,7 @@ def test_compile_hourly_statistics_unchanged(
|
|||
"mean": approx(value),
|
||||
"min": approx(value),
|
||||
"max": approx(value),
|
||||
"last_reset": None,
|
||||
"state": None,
|
||||
"sum": None,
|
||||
}
|
||||
|
@ -606,6 +628,7 @@ def test_compile_hourly_statistics_partially_unavailable(hass_recorder, caplog):
|
|||
"mean": approx(21.1864406779661),
|
||||
"min": approx(10.0),
|
||||
"max": approx(25.0),
|
||||
"last_reset": None,
|
||||
"state": None,
|
||||
"sum": None,
|
||||
}
|
||||
|
@ -662,6 +685,7 @@ def test_compile_hourly_statistics_unavailable(
|
|||
"mean": approx(value),
|
||||
"min": approx(value),
|
||||
"max": approx(value),
|
||||
"last_reset": None,
|
||||
"state": None,
|
||||
"sum": None,
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue