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sillyhome-next/tests/ha/test_history.py
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Improve learning discovery and dashboard i18n
2026-07-26 21:57:57 +02:00

162 lines
4.7 KiB
Python

from __future__ import annotations
from datetime import datetime, timezone
import pytest
from app.ha.exceptions import HaUnexpectedPayloadError
from app.ha.history import (
normalize_history_payload,
normalize_logbook_payload,
normalize_state_history_payload,
)
def test_normalize_history_payload_groups_and_sorts_numeric_states() -> None:
payload = [
[
{
"entity_id": "sensor.temperature",
"state": "22.5",
"last_changed": "2026-06-01T12:15:00+00:00",
},
{
"state": "21.0",
"last_changed": "2026-06-01T12:00:00Z",
},
],
[
{
"entity_id": "sensor.humidity",
"state": 45,
"last_updated": "2026-06-01T12:00:00+00:00",
}
],
]
result = normalize_history_payload(payload)
assert [series.entity_id for series in result] == [
"sensor.humidity",
"sensor.temperature",
]
temperature = result[1]
assert [point.value for point in temperature.points] == [21.0, 22.5]
assert temperature.points[0].timestamp == datetime(
2026, 6, 1, 12, 0, tzinfo=timezone.utc
)
def test_normalize_history_payload_skips_non_numeric_and_non_finite_states() -> None:
payload = [
[
{
"entity_id": "sensor.temperature",
"state": state,
"last_changed": "2026-06-01T12:00:00+00:00",
}
for state in ("unknown", "unavailable", "nan", "inf", "-inf", True, None)
]
]
assert normalize_history_payload(payload) == []
@pytest.mark.parametrize(
"payload",
[
{},
[{}],
[["invalid"]],
[[{"entity_id": "invalid", "state": "21", "last_changed": "2026-06-01"}]],
[[{"entity_id": "sensor.a", "state": "21", "last_changed": "invalid"}]],
[[{"state": "21", "last_changed": "2026-06-01T12:00:00+00:00"}]],
[
[
{
"entity_id": "sensor.a",
"state": "21",
"last_changed": "2026-06-01T12:00:00+00:00",
},
{
"entity_id": "sensor.b",
"state": "22",
"last_changed": "2026-06-01T12:01:00+00:00",
},
]
],
],
)
def test_normalize_history_payload_rejects_malformed_structure(payload: object) -> None:
with pytest.raises(HaUnexpectedPayloadError):
normalize_history_payload(payload)
def test_normalize_history_payload_accepts_empty_series() -> None:
assert normalize_history_payload([[]]) == []
def test_normalize_state_history_keeps_categorical_changes() -> None:
result = normalize_state_history_payload(
[
[
{
"entity_id": "light.office",
"state": "off",
"last_changed": "2026-06-01T08:00:00+00:00",
},
{
"state": "on",
"last_changed": "2026-06-01T08:05:00+00:00",
},
{
"state": "on",
"last_changed": "2026-06-01T08:06:00+00:00",
},
]
]
)
assert [point.state for point in result[0].points] == ["off", "on"]
def test_normalize_state_history_keeps_light_attribute_changes() -> None:
result = normalize_state_history_payload(
[
[
{
"entity_id": "light.office",
"state": "on",
"attributes": {"brightness": 80, "friendly_name": "Office"},
"last_changed": "2026-06-01T08:00:00+00:00",
},
{
"state": "on",
"attributes": {"brightness": 120, "friendly_name": "Office"},
"last_changed": "2026-06-01T08:05:00+00:00",
},
]
]
)
assert [point.attributes["brightness"] for point in result[0].points] == [80, 120]
def test_normalize_logbook_preserves_action_origin() -> None:
result = normalize_logbook_payload(
[
{
"entity_id": "light.office",
"when": "2026-06-01T08:05:00+00:00",
"message": "turned on",
"context_user_id": "user-1",
"context_domain": "light",
"context_service": "turn_on",
}
],
"light.office",
)
assert result[0].context_user_id == "user-1"
assert result[0].context_service == "turn_on"