HA-008 HA-009: add discovery and history pipeline
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Closes #17

Closes #18
This commit is contained in:
2026-06-13 20:06:05 +02:00
parent 1fbed37126
commit 816a516106
13 changed files with 783 additions and 8 deletions

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@@ -1,8 +1,11 @@
from collections.abc import Sequence
from datetime import datetime
from fastapi.testclient import TestClient
from app.ha.exceptions import HaTimeoutError
from app.ha.discovery import DiscoveredEntity, EntityRole
from app.ha.history import EntityHistorySeries, NumericHistoryPoint
from app.ha.models import HaEntitySummary
from app.ha.reader import HaReader
from app.main import app
@@ -15,6 +18,38 @@ class FakeHaReader(HaReader):
def read_entities(self) -> Sequence[HaEntitySummary]:
return [HaEntitySummary(entity_id="sensor.temperature", domain="sensor")]
def discover(
self,
domains: set[str] | None = None,
learnable: bool | None = None,
) -> Sequence[DiscoveredEntity]:
result = DiscoveredEntity(
entity_id="sensor.temperature",
domain="sensor",
device_class="temperature",
role=EntityRole.MEASUREMENT,
learnable=True,
reason="Numerischer Messsensor für Zeitreihen und Training.",
)
if domains and result.domain not in domains:
return []
if learnable is not None and result.learnable is not learnable:
return []
return [result]
def read_history(
self,
entity_ids: list[str],
start_time: datetime,
end_time: datetime,
) -> Sequence[EntityHistorySeries]:
return [
EntityHistorySeries(
entity_id=entity_ids[0],
points=[NumericHistoryPoint(timestamp=start_time, value=21.5)],
)
]
class TimeoutHaReader(HaReader):
def __init__(self) -> None:
@@ -59,3 +94,44 @@ def test_entities_maps_ha_errors_without_leaking_details() -> None:
response = client.get("/v1/entities")
assert response.status_code == 504
assert response.json() == {"detail": "Home Assistant request timed out."}
def test_discovery_filters_entities() -> None:
with TestClient(app) as client:
app.state.ha_reader = FakeHaReader()
response = client.get("/v1/discovery?domain=sensor&learnable=true")
assert response.status_code == 200
assert response.json() == [
{
"entity_id": "sensor.temperature",
"domain": "sensor",
"device_class": "temperature",
"state_class": None,
"unit_of_measurement": None,
"role": "measurement",
"learnable": True,
"reason": "Numerischer Messsensor für Zeitreihen und Training.",
}
]
def test_history_returns_normalized_series() -> None:
with TestClient(app) as client:
app.state.ha_reader = FakeHaReader()
response = client.get(
"/v1/history",
params=[
("entity_id", "sensor.temperature"),
("start_time", "2026-06-01T00:00:00Z"),
("end_time", "2026-06-02T00:00:00Z"),
],
)
assert response.status_code == 200
assert response.json() == [
{
"entity_id": "sensor.temperature",
"points": [{"timestamp": "2026-06-01T00:00:00Z", "value": 21.5}],
}
]

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@@ -0,0 +1,76 @@
from __future__ import annotations
import pytest
from app.ha.discovery import EntityRole, classify_entity, discover_entities
from app.ha.models import HaEntitySummary
@pytest.mark.parametrize(
("entity", "role", "learnable"),
[
(
HaEntitySummary(
entity_id="sensor.temperature",
domain="sensor",
device_class="temperature",
state_class="measurement",
unit_of_measurement="°C",
),
EntityRole.MEASUREMENT,
True,
),
(
HaEntitySummary(
entity_id="binary_sensor.motion",
domain="binary_sensor",
device_class="motion",
),
EntityRole.BINARY_CONTEXT,
True,
),
(
HaEntitySummary(entity_id="person.simon", domain="person"),
EntityRole.CONTEXT,
True,
),
(
HaEntitySummary(entity_id="light.living_room", domain="light"),
EntityRole.ACTUATOR,
False,
),
(
HaEntitySummary(entity_id="camera.driveway", domain="camera"),
EntityRole.UNSUPPORTED,
False,
),
],
)
def test_classify_entity(
entity: HaEntitySummary,
role: EntityRole,
learnable: bool,
) -> None:
result = classify_entity(entity)
assert result.role is role
assert result.learnable is learnable
def test_discovery_filters_domain_and_learnable() -> None:
entities = [
HaEntitySummary(
entity_id="sensor.temperature",
domain="sensor",
device_class="temperature",
),
HaEntitySummary(entity_id="sensor.status", domain="sensor"),
HaEntitySummary(
entity_id="binary_sensor.motion",
domain="binary_sensor",
device_class="motion",
),
]
result = discover_entities(entities, domains={" SENSOR "}, learnable=True)
assert [item.entity_id for item in result] == ["sensor.temperature"]

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@@ -1,5 +1,6 @@
from __future__ import annotations
from datetime import datetime, timezone
from unittest.mock import Mock
import pytest
@@ -68,4 +69,60 @@ def test_list_entities_rejects_invalid_json() -> None:
def test_list_entities_rejects_non_list_payload() -> None:
client = _client_with_response(_response(payload={"entity_id": "sensor.temperature"}))
with pytest.raises(HaUnexpectedPayloadError):
client.list_entities()
client.list_entities()
def test_get_history_calls_home_assistant_history_api() -> None:
response = _response(payload=[[{"entity_id": "sensor.temperature", "state": "21.0"}]])
client = _client_with_response(response)
start = datetime(2026, 6, 1, tzinfo=timezone.utc)
end = datetime(2026, 6, 2, tzinfo=timezone.utc)
payload = client.get_history(["sensor.temperature"], start, end)
assert payload == [[{"entity_id": "sensor.temperature", "state": "21.0"}]]
client._session.get.assert_called_once() # type: ignore[attr-defined]
call = client._session.get.call_args # type: ignore[attr-defined]
assert "/api/history/period/2026-06-01T00:00:00+00:00" in call.args[0]
assert call.kwargs["params"]["filter_entity_id"] == "sensor.temperature"
assert call.kwargs["params"]["end_time"] == "2026-06-02T00:00:00+00:00"
@pytest.mark.parametrize(
("entity_ids", "start", "end"),
[
(
[],
datetime(2026, 6, 1, tzinfo=timezone.utc),
datetime(2026, 6, 2, tzinfo=timezone.utc),
),
(
["sensor.temperature"],
datetime(2026, 6, 1),
datetime(2026, 6, 2, tzinfo=timezone.utc),
),
(
["sensor.temperature"],
datetime(2026, 6, 2, tzinfo=timezone.utc),
datetime(2026, 6, 1, tzinfo=timezone.utc),
),
(
["invalid entity"],
datetime(2026, 6, 1, tzinfo=timezone.utc),
datetime(2026, 6, 2, tzinfo=timezone.utc),
),
(
["sensor.temperature"],
datetime(2026, 5, 1, tzinfo=timezone.utc),
datetime(2026, 6, 2, tzinfo=timezone.utc),
),
],
)
def test_get_history_validates_request(
entity_ids: list[str],
start: datetime,
end: datetime,
) -> None:
client = HaClient(HaClientSettings(url="http://ha.local", token="test-token"))
with pytest.raises(ValueError):
client.get_history(entity_ids, start, end)

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@@ -1,5 +1,7 @@
from __future__ import annotations
from datetime import datetime, timezone
from app.ha.client import HaClient, HaClientSettings
from app.ha.reader import HaReader
@@ -26,6 +28,22 @@ class FakeHaClient(HaClient):
},
]
def get_history(
self,
entity_ids: list[str],
start_time: datetime,
end_time: datetime,
) -> list[object]:
return [
[
{
"entity_id": entity_ids[0],
"state": "21.5",
"last_changed": start_time.isoformat(),
}
]
]
def test_ha_reader_returns_summaries() -> None:
reader = HaReader(FakeHaClient())
@@ -35,3 +53,25 @@ def test_ha_reader_returns_summaries() -> None:
assert domains == {"sensor", "light"}
sensor = next(item for item in summaries if item.entity_id == "sensor.temperature")
assert sensor.unit_of_measurement == "°C"
def test_ha_reader_discovers_learnable_sensors() -> None:
reader = HaReader(FakeHaClient())
discovered = reader.discover(learnable=True)
assert [entity.entity_id for entity in discovered] == ["sensor.temperature"]
def test_ha_reader_normalizes_history() -> None:
reader = HaReader(FakeHaClient())
start = datetime(2026, 6, 1, tzinfo=timezone.utc)
history = reader.read_history(
["sensor.temperature"],
start,
datetime(2026, 6, 2, tzinfo=timezone.utc),
)
assert history[0].entity_id == "sensor.temperature"
assert history[0].points[0].value == 21.5

92
tests/ha/test_history.py Normal file
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@@ -0,0 +1,92 @@
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
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([[]]) == []