def test_list_statistic_ids(hass_recorder, caplog, device_class, unit,
native_unit, statistic_type):
"""Test listing future statistic ids."""
hass = hass_recorder()
setup_component(hass, "sensor", {})
attributes = {
"device_class": device_class,
"last_reset": 0,
"state_class": "measurement",
"unit_of_measurement": unit,
}
hass.states.set("sensor.test1", 0, attributes=attributes)
statistic_ids = list_statistic_ids(hass)
assert statistic_ids == [{
"statistic_id": "sensor.test1",
"unit_of_measurement": native_unit
}]
for stat_type in ["mean", "sum", "dogs"]:
statistic_ids = list_statistic_ids(hass, statistic_type=stat_type)
if statistic_type == stat_type:
assert statistic_ids == [{
"statistic_id": "sensor.test1",
"unit_of_measurement": native_unit
}]
else:
assert statistic_ids == []
def _ws_get_list_statistic_ids(
hass: HomeAssistant,
msg_id: int,
statistic_type: Literal["mean"] | Literal["sum"] | None = None,
) -> str:
"""Fetch a list of available statistic_id and convert them to json in the executor."""
return JSON_DUMP(
messages.result_message(msg_id, list_statistic_ids(hass, None, statistic_type))
)
def test_compile_hourly_statistics_unsupported(hass_recorder, caplog,
attributes):
"""Test compiling hourly statistics for unsupported sensor."""
attributes = dict(attributes)
zero = dt_util.utcnow()
hass = hass_recorder()
recorder = hass.data[DATA_INSTANCE]
setup_component(hass, "sensor", {})
four, states = record_states(hass, zero, "sensor.test1", attributes)
if "unit_of_measurement" in attributes:
attributes["unit_of_measurement"] = "invalid"
_, _states = record_states(hass, zero, "sensor.test2", attributes)
states = {**states, **_states}
attributes.pop("unit_of_measurement")
_, _states = record_states(hass, zero, "sensor.test3", attributes)
states = {**states, **_states}
attributes["state_class"] = "invalid"
_, _states = record_states(hass, zero, "sensor.test4", attributes)
states = {**states, **_states}
attributes.pop("state_class")
_, _states = record_states(hass, zero, "sensor.test5", attributes)
states = {**states, **_states}
attributes["state_class"] = "measurement"
_, _states = record_states(hass, zero, "sensor.test6", attributes)
states = {**states, **_states}
attributes["state_class"] = "unsupported"
_, _states = record_states(hass, zero, "sensor.test7", attributes)
states = {**states, **_states}
hist = history.get_significant_states(hass, zero, four)
assert dict(states) == dict(hist)
recorder.do_adhoc_statistics(period="hourly", start=zero)
wait_recording_done(hass)
statistic_ids = list_statistic_ids(hass)
assert statistic_ids == [{
"statistic_id": "sensor.test1",
"unit_of_measurement": "°C"
}]
stats = statistics_during_period(hass, zero)
assert stats == {
"sensor.test1": [{
"statistic_id": "sensor.test1",
"start": process_timestamp_to_utc_isoformat(zero),
"mean": approx(16.440677966101696),
"min": approx(10.0),
"max": approx(30.0),
"last_reset": None,
"state": None,
"sum": None,
}]
}
assert "Error while processing event StatisticsTask" not in caplog.text
def test_demo_statistics(hass_recorder):
"""Test that the demo components makes some statistics available."""
hass = hass_recorder()
assert setup_component(hass, DOMAIN, {DOMAIN: {}})
hass.block_till_done()
hass.start()
wait_recording_done(hass)
statistic_ids = list_statistic_ids(hass)
assert {
"name": None,
"source": "demo",
"statistic_id": "demo:temperature_outdoor",
"unit_of_measurement": "°C",
} in statistic_ids
assert {
"name": None,
"source": "demo",
"statistic_id": "demo:energy_consumption",
"unit_of_measurement": "kWh",
} in statistic_ids
def test_compile_hourly_statistics(hass_recorder, caplog, device_class, unit,
native_unit, mean, min, max):
"""Test compiling hourly statistics."""
zero = dt_util.utcnow()
hass = hass_recorder()
recorder = hass.data[DATA_INSTANCE]
setup_component(hass, "sensor", {})
attributes = {
"device_class": device_class,
"state_class": "measurement",
"unit_of_measurement": unit,
}
four, states = record_states(hass, zero, "sensor.test1", attributes)
hist = history.get_significant_states(hass, zero, four)
assert dict(states) == dict(hist)
recorder.do_adhoc_statistics(period="hourly", start=zero)
wait_recording_done(hass)
statistic_ids = list_statistic_ids(hass)
assert statistic_ids == [{
"statistic_id": "sensor.test1",
"unit_of_measurement": native_unit
}]
stats = statistics_during_period(hass, zero)
assert stats == {
"sensor.test1": [{
"statistic_id": "sensor.test1",
"start": process_timestamp_to_utc_isoformat(zero),
"mean": approx(mean),
"min": approx(min),
"max": approx(max),
"last_reset": None,
"state": None,
"sum": None,
}]
}
assert "Error while processing event StatisticsTask" not in caplog.text
def test_external_statistics_errors(hass_recorder, caplog):
"""Test validation of external statistics."""
hass = hass_recorder()
wait_recording_done(hass)
assert "Compiling statistics for" not in caplog.text
assert "Statistics already compiled" not in caplog.text
zero = dt_util.utcnow()
period1 = zero.replace(minute=0, second=0,
microsecond=0) + timedelta(hours=1)
_external_statistics = {
"start": period1,
"last_reset": None,
"state": 0,
"sum": 2,
}
_external_metadata = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import",
"unit_of_measurement": "kWh",
}
# Attempt to insert statistics for an entity
external_metadata = {
**_external_metadata,
"statistic_id": "sensor.total_energy_import",
}
external_statistics = {**_external_statistics}
with pytest.raises(HomeAssistantError):
async_add_external_statistics(hass, external_metadata,
(external_statistics, ))
wait_recording_done(hass)
assert statistics_during_period(hass, zero, period="hour") == {}
assert list_statistic_ids(hass) == []
assert get_metadata(hass,
statistic_ids=("sensor.total_energy_import", )) == {}
# Attempt to insert statistics for the wrong domain
external_metadata = {**_external_metadata, "source": "other"}
external_statistics = {**_external_statistics}
with pytest.raises(HomeAssistantError):
async_add_external_statistics(hass, external_metadata,
(external_statistics, ))
wait_recording_done(hass)
assert statistics_during_period(hass, zero, period="hour") == {}
assert list_statistic_ids(hass) == []
assert get_metadata(hass,
statistic_ids=("test:total_energy_import", )) == {}
# Attempt to insert statistics for an naive starting time
external_metadata = {**_external_metadata}
external_statistics = {
**_external_statistics,
"start": period1.replace(tzinfo=None),
}
with pytest.raises(HomeAssistantError):
async_add_external_statistics(hass, external_metadata,
(external_statistics, ))
wait_recording_done(hass)
assert statistics_during_period(hass, zero, period="hour") == {}
assert list_statistic_ids(hass) == []
assert get_metadata(hass,
statistic_ids=("test:total_energy_import", )) == {}
# Attempt to insert statistics for an invalid starting time
external_metadata = {**_external_metadata}
external_statistics = {
**_external_statistics, "start": period1.replace(minute=1)
}
with pytest.raises(HomeAssistantError):
async_add_external_statistics(hass, external_metadata,
(external_statistics, ))
wait_recording_done(hass)
assert statistics_during_period(hass, zero, period="hour") == {}
assert list_statistic_ids(hass) == []
assert get_metadata(hass,
statistic_ids=("test:total_energy_import", )) == {}
async def test_external_statistics(hass, hass_ws_client, caplog):
"""Test inserting external statistics."""
client = await hass_ws_client()
await async_init_recorder_component(hass)
assert "Compiling statistics for" not in caplog.text
assert "Statistics already compiled" not in caplog.text
zero = dt_util.utcnow()
period1 = zero.replace(minute=0, second=0,
microsecond=0) + timedelta(hours=1)
period2 = zero.replace(minute=0, second=0,
microsecond=0) + timedelta(hours=2)
external_statistics1 = {
"start": period1,
"last_reset": None,
"state": 0,
"sum": 2,
}
external_statistics2 = {
"start": period2,
"last_reset": None,
"state": 1,
"sum": 3,
}
external_metadata = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import",
"unit_of_measurement": "kWh",
}
async_add_external_statistics(hass, external_metadata,
(external_statistics1, external_statistics2))
await async_wait_recording_done_without_instance(hass)
stats = statistics_during_period(hass, zero, period="hour")
assert stats == {
"test:total_energy_import": [
{
"statistic_id": "test:total_energy_import",
"start": period1.isoformat(),
"end": (period1 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(0.0),
"sum": approx(2.0),
},
{
"statistic_id": "test:total_energy_import",
"start": period2.isoformat(),
"end": (period2 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(1.0),
"sum": approx(3.0),
},
]
}
statistic_ids = list_statistic_ids(hass)
assert statistic_ids == [{
"has_mean": False,
"has_sum": True,
"statistic_id": "test:total_energy_import",
"name": "Total imported energy",
"source": "test",
"unit_of_measurement": "kWh",
}]
metadata = get_metadata(hass, statistic_ids=("test:total_energy_import", ))
assert metadata == {
"test:total_energy_import": (
1,
{
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import",
"unit_of_measurement": "kWh",
},
)
}
last_stats = get_last_statistics(hass, 1, "test:total_energy_import", True)
assert last_stats == {
"test:total_energy_import": [
{
"statistic_id": "test:total_energy_import",
"start": period2.isoformat(),
"end": (period2 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(1.0),
"sum": approx(3.0),
},
]
}
# Update the previously inserted statistics
external_statistics = {
"start": period1,
"last_reset": None,
"state": 5,
"sum": 6,
}
async_add_external_statistics(hass, external_metadata,
(external_statistics, ))
await async_wait_recording_done_without_instance(hass)
stats = statistics_during_period(hass, zero, period="hour")
assert stats == {
"test:total_energy_import": [
{
"statistic_id": "test:total_energy_import",
"start": period1.isoformat(),
"end": (period1 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(5.0),
"sum": approx(6.0),
},
{
"statistic_id": "test:total_energy_import",
"start": period2.isoformat(),
"end": (period2 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(1.0),
"sum": approx(3.0),
},
]
}
# Update the previously inserted statistics
external_statistics = {
"start": period1,
"max": 1,
"mean": 2,
"min": 3,
"last_reset": None,
"state": 4,
"sum": 5,
}
async_add_external_statistics(hass, external_metadata,
(external_statistics, ))
await async_wait_recording_done_without_instance(hass)
stats = statistics_during_period(hass, zero, period="hour")
assert stats == {
"test:total_energy_import": [
{
"statistic_id": "test:total_energy_import",
"start": period1.isoformat(),
"end": (period1 + timedelta(hours=1)).isoformat(),
"max": approx(1.0),
"mean": approx(2.0),
"min": approx(3.0),
"last_reset": None,
"state": approx(4.0),
"sum": approx(5.0),
},
{
"statistic_id": "test:total_energy_import",
"start": period2.isoformat(),
"end": (period2 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(1.0),
"sum": approx(3.0),
},
]
}
await client.send_json({
"id": 1,
"type": "recorder/adjust_sum_statistics",
"statistic_id": "test:total_energy_import",
"start_time": period2.isoformat(),
"adjustment": 1000.0,
})
response = await client.receive_json()
assert response["success"]
await async_wait_recording_done_without_instance(hass)
stats = statistics_during_period(hass, zero, period="hour")
assert stats == {
"test:total_energy_import": [
{
"statistic_id": "test:total_energy_import",
"start": period1.isoformat(),
"end": (period1 + timedelta(hours=1)).isoformat(),
"max": approx(1.0),
"mean": approx(2.0),
"min": approx(3.0),
"last_reset": None,
"state": approx(4.0),
"sum": approx(5.0),
},
{
"statistic_id": "test:total_energy_import",
"start": period2.isoformat(),
"end": (period2 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(1.0),
"sum": approx(1003.0),
},
]
}
def test_compile_hourly_energy_statistics_multiple(hass_recorder, caplog):
"""Test compiling multiple hourly statistics."""
zero = dt_util.utcnow()
hass = hass_recorder()
recorder = hass.data[DATA_INSTANCE]
setup_component(hass, "sensor", {})
sns1_attr = {**ENERGY_SENSOR_ATTRIBUTES, "last_reset": None}
sns2_attr = {**ENERGY_SENSOR_ATTRIBUTES, "last_reset": None}
sns3_attr = {
**ENERGY_SENSOR_ATTRIBUTES,
"unit_of_measurement": "Wh",
"last_reset": None,
}
sns4_attr = {**ENERGY_SENSOR_ATTRIBUTES}
seq1 = [10, 15, 20, 10, 30, 40, 50, 60, 70]
seq2 = [110, 120, 130, 0, 30, 45, 55, 65, 75]
seq3 = [0, 0, 5, 10, 30, 50, 60, 80, 90]
seq4 = [0, 0, 5, 10, 30, 50, 60, 80, 90]
four, eight, states = record_energy_states(hass, zero, "sensor.test1",
sns1_attr, seq1)
_, _, _states = record_energy_states(hass, zero, "sensor.test2", sns2_attr,
seq2)
states = {**states, **_states}
_, _, _states = record_energy_states(hass, zero, "sensor.test3", sns3_attr,
seq3)
states = {**states, **_states}
_, _, _states = record_energy_states(hass, zero, "sensor.test4", sns4_attr,
seq4)
states = {**states, **_states}
hist = history.get_significant_states(hass, zero - timedelta.resolution,
eight + timedelta.resolution)
assert dict(states)["sensor.test1"] == dict(hist)["sensor.test1"]
recorder.do_adhoc_statistics(period="hourly", start=zero)
wait_recording_done(hass)
recorder.do_adhoc_statistics(period="hourly",
start=zero + timedelta(hours=1))
wait_recording_done(hass)
recorder.do_adhoc_statistics(period="hourly",
start=zero + timedelta(hours=2))
wait_recording_done(hass)
statistic_ids = list_statistic_ids(hass)
assert statistic_ids == [
{
"statistic_id": "sensor.test1",
"unit_of_measurement": "kWh"
},
{
"statistic_id": "sensor.test2",
"unit_of_measurement": "kWh"
},
{
"statistic_id": "sensor.test3",
"unit_of_measurement": "kWh"
},
]
stats = statistics_during_period(hass, zero)
assert stats == {
"sensor.test1": [
{
"statistic_id": "sensor.test1",
"start": process_timestamp_to_utc_isoformat(zero),
"max": None,
"mean": None,
"min": None,
"last_reset": process_timestamp_to_utc_isoformat(zero),
"state": approx(20.0),
"sum": approx(10.0),
},
{
"statistic_id":
"sensor.test1",
"start":
process_timestamp_to_utc_isoformat(zero + timedelta(hours=1)),
"max":
None,
"mean":
None,
"min":
None,
"last_reset":
process_timestamp_to_utc_isoformat(four),
"state":
approx(40.0),
"sum":
approx(10.0),
},
{
"statistic_id":
"sensor.test1",
"start":
process_timestamp_to_utc_isoformat(zero + timedelta(hours=2)),
"max":
None,
"mean":
None,
"min":
None,
"last_reset":
process_timestamp_to_utc_isoformat(four),
"state":
approx(70.0),
"sum":
approx(40.0),
},
],
"sensor.test2": [
{
"statistic_id": "sensor.test2",
"start": process_timestamp_to_utc_isoformat(zero),
"max": None,
"mean": None,
"min": None,
"last_reset": process_timestamp_to_utc_isoformat(zero),
"state": approx(130.0),
"sum": approx(20.0),
},
{
"statistic_id":
"sensor.test2",
"start":
process_timestamp_to_utc_isoformat(zero + timedelta(hours=1)),
"max":
None,
"mean":
None,
"min":
None,
"last_reset":
process_timestamp_to_utc_isoformat(four),
"state":
approx(45.0),
"sum":
approx(-95.0),
},
{
"statistic_id":
"sensor.test2",
"start":
process_timestamp_to_utc_isoformat(zero + timedelta(hours=2)),
"max":
None,
"mean":
None,
"min":
None,
"last_reset":
process_timestamp_to_utc_isoformat(four),
"state":
approx(75.0),
"sum":
approx(-65.0),
},
],
"sensor.test3": [
{
"statistic_id": "sensor.test3",
"start": process_timestamp_to_utc_isoformat(zero),
"max": None,
"mean": None,
"min": None,
"last_reset": process_timestamp_to_utc_isoformat(zero),
"state": approx(5.0 / 1000),
"sum": approx(5.0 / 1000),
},
{
"statistic_id":
"sensor.test3",
"start":
process_timestamp_to_utc_isoformat(zero + timedelta(hours=1)),
"max":
None,
"mean":
None,
"min":
None,
"last_reset":
process_timestamp_to_utc_isoformat(four),
"state":
approx(50.0 / 1000),
"sum":
approx(30.0 / 1000),
},
{
"statistic_id":
"sensor.test3",
"start":
process_timestamp_to_utc_isoformat(zero + timedelta(hours=2)),
"max":
None,
"mean":
None,
"min":
None,
"last_reset":
process_timestamp_to_utc_isoformat(four),
"state":
approx(90.0 / 1000),
"sum":
approx(70.0 / 1000),
},
],
}
assert "Error while processing event StatisticsTask" not in caplog.text
def test_compile_hourly_energy_statistics(hass_recorder, caplog, device_class,
unit, native_unit, factor):
"""Test compiling hourly statistics."""
zero = dt_util.utcnow()
hass = hass_recorder()
recorder = hass.data[DATA_INSTANCE]
setup_component(hass, "sensor", {})
attributes = {
"device_class": device_class,
"state_class": "measurement",
"unit_of_measurement": unit,
"last_reset": None,
}
seq = [10, 15, 20, 10, 30, 40, 50, 60, 70]
four, eight, states = record_energy_states(hass, zero, "sensor.test1",
attributes, seq)
hist = history.get_significant_states(hass, zero - timedelta.resolution,
eight + timedelta.resolution)
assert dict(states)["sensor.test1"] == dict(hist)["sensor.test1"]
recorder.do_adhoc_statistics(period="hourly", start=zero)
wait_recording_done(hass)
recorder.do_adhoc_statistics(period="hourly",
start=zero + timedelta(hours=1))
wait_recording_done(hass)
recorder.do_adhoc_statistics(period="hourly",
start=zero + timedelta(hours=2))
wait_recording_done(hass)
statistic_ids = list_statistic_ids(hass)
assert statistic_ids == [{
"statistic_id": "sensor.test1",
"unit_of_measurement": native_unit
}]
stats = statistics_during_period(hass, zero)
assert stats == {
"sensor.test1": [
{
"statistic_id": "sensor.test1",
"start": process_timestamp_to_utc_isoformat(zero),
"max": None,
"mean": None,
"min": None,
"last_reset": process_timestamp_to_utc_isoformat(zero),
"state": approx(factor * seq[2]),
"sum": approx(factor * 10.0),
},
{
"statistic_id":
"sensor.test1",
"start":
process_timestamp_to_utc_isoformat(zero + timedelta(hours=1)),
"max":
None,
"mean":
None,
"min":
None,
"last_reset":
process_timestamp_to_utc_isoformat(four),
"state":
approx(factor * seq[5]),
"sum":
approx(factor * 10.0),
},
{
"statistic_id":
"sensor.test1",
"start":
process_timestamp_to_utc_isoformat(zero + timedelta(hours=2)),
"max":
None,
"mean":
None,
"min":
None,
"last_reset":
process_timestamp_to_utc_isoformat(four),
"state":
approx(factor * seq[8]),
"sum":
approx(factor * 40.0),
},
]
}
assert "Error while processing event StatisticsTask" not in caplog.text
def test_external_statistics(hass_recorder, caplog):
"""Test inserting external statistics."""
hass = hass_recorder()
wait_recording_done(hass)
assert "Compiling statistics for" not in caplog.text
assert "Statistics already compiled" not in caplog.text
zero = dt_util.utcnow()
period1 = zero.replace(minute=0, second=0, microsecond=0) + timedelta(hours=1)
period2 = zero.replace(minute=0, second=0, microsecond=0) + timedelta(hours=2)
external_statistics1 = {
"start": period1,
"last_reset": None,
"state": 0,
"sum": 2,
}
external_statistics2 = {
"start": period2,
"last_reset": None,
"state": 1,
"sum": 3,
}
external_metadata = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import",
"unit_of_measurement": "kWh",
}
async_add_external_statistics(
hass, external_metadata, (external_statistics1, external_statistics2)
)
wait_recording_done(hass)
stats = statistics_during_period(hass, zero, period="hour")
assert stats == {
"test:total_energy_import": [
{
"statistic_id": "test:total_energy_import",
"start": period1.isoformat(),
"end": (period1 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(0.0),
"sum": approx(2.0),
},
{
"statistic_id": "test:total_energy_import",
"start": period2.isoformat(),
"end": (period2 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(1.0),
"sum": approx(3.0),
},
]
}
statistic_ids = list_statistic_ids(hass)
assert statistic_ids == [
{
"statistic_id": "test:total_energy_import",
"name": "Total imported energy",
"source": "test",
"unit_of_measurement": "kWh",
}
]
metadata = get_metadata(hass, statistic_ids=("test:total_energy_import",))
assert metadata == {
"test:total_energy_import": (
1,
{
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import",
"unit_of_measurement": "kWh",
},
)
}
# Update the previously inserted statistics
external_statistics = {
"start": period1,
"last_reset": None,
"state": 5,
"sum": 6,
}
async_add_external_statistics(hass, external_metadata, (external_statistics,))
wait_recording_done(hass)
stats = statistics_during_period(hass, zero, period="hour")
assert stats == {
"test:total_energy_import": [
{
"statistic_id": "test:total_energy_import",
"start": period1.isoformat(),
"end": (period1 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(5.0),
"sum": approx(6.0),
},
{
"statistic_id": "test:total_energy_import",
"start": period2.isoformat(),
"end": (period2 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(1.0),
"sum": approx(3.0),
},
]
}
# Update the previously inserted statistics
external_statistics = {
"start": period1,
"max": 1,
"mean": 2,
"min": 3,
"last_reset": None,
"state": 4,
"sum": 5,
}
async_add_external_statistics(hass, external_metadata, (external_statistics,))
wait_recording_done(hass)
stats = statistics_during_period(hass, zero, period="hour")
assert stats == {
"test:total_energy_import": [
{
"statistic_id": "test:total_energy_import",
"start": period1.isoformat(),
"end": (period1 + timedelta(hours=1)).isoformat(),
"max": approx(1.0),
"mean": approx(2.0),
"min": approx(3.0),
"last_reset": None,
"state": approx(4.0),
"sum": approx(5.0),
},
{
"statistic_id": "test:total_energy_import",
"start": period2.isoformat(),
"end": (period2 + timedelta(hours=1)).isoformat(),
"max": None,
"mean": None,
"min": None,
"last_reset": None,
"state": approx(1.0),
"sum": approx(3.0),
},
]
}
