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sillyhome-next/tests/api/test_actuators.py
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Add adaptive learning and model rollback
2026-06-17 18:41:03 +02:00

490 lines
17 KiB
Python

from __future__ import annotations
from time import perf_counter
from datetime import datetime, timedelta
from pathlib import Path
from fastapi.testclient import TestClient
from app.actuators.lifecycle import ActuatorReconciliationService
from app.actuators.models import ModelSnapshot
from app.actuators.store import ActuatorStore
from app.behavior.engine import BehaviorEngine
from app.config import Settings
from app.api.v1.actuators import _deduplicate_actuator_ids
from app.ha.discovery import DiscoveredEntity
from app.ha.discovery import discover_entities
from app.ha.history import (
EntityHistorySeries,
LogbookEntry,
NumericHistoryPoint,
StateHistorySeries,
)
from app.ha.models import HaAutomationSummary, HaEntitySummary
from app.ha.reader import HaReader
from app.main import app
from app.ml.registry.model_registry import ModelRegistry
class FakeHaReader(HaReader):
def __init__(self, entities: list[HaEntitySummary], history: dict[str, list[float]]) -> None:
self._entities = entities
self._history = history
self.read_entities_calls = 0
self.service_calls: list[tuple[str, str, dict[str, object]]] = []
def read_entities(self) -> list[HaEntitySummary]:
self.read_entities_calls += 1
return list(self._entities)
def discover(
self,
domains: set[str] | None = None,
learnable: bool | None = None,
) -> list[DiscoveredEntity]:
return discover_entities(self._entities, domains=domains, learnable=learnable)
def read_history(
self,
entity_ids: list[str],
start_time: datetime,
end_time: datetime,
) -> list[EntityHistorySeries]:
base = start_time
return [
EntityHistorySeries(
entity_id=entity_id,
points=[
NumericHistoryPoint(
timestamp=base + timedelta(hours=index),
value=value,
)
for index, value in enumerate(self._history.get(entity_id, []))
],
)
for entity_id in entity_ids
if entity_id in self._history
]
def read_state_history(
self,
entity_ids: list[str],
start_time: datetime,
end_time: datetime,
) -> list[StateHistorySeries]:
return []
def read_logbook(
self,
entity_id: str,
start_time: datetime,
end_time: datetime,
) -> list[LogbookEntry]:
return []
def call_service(
self,
domain: str,
service: str,
service_data: dict[str, object],
) -> list[object]:
self.service_calls.append((domain, service, service_data))
return []
def find_automations_for_entity(
self,
entity_id: str,
) -> list[HaAutomationSummary]:
return []
def _install_service(tmp_path: Path) -> None:
entities = [
HaEntitySummary(
entity_id="light.abstellkammer",
domain="light",
friendly_name="Abstellkammer Licht",
area_name="Abstellkammer",
),
HaEntitySummary(
entity_id="sensor.abstellkammer_illuminance",
domain="sensor",
device_class="illuminance",
state_class="measurement",
unit_of_measurement="lx",
friendly_name="Abstellkammer Helligkeit",
area_name="Abstellkammer",
state="12",
),
HaEntitySummary(
entity_id="binary_sensor.abstellkammer_motion",
domain="binary_sensor",
device_class="motion",
friendly_name="Abstellkammer Bewegung",
area_name="Abstellkammer",
state="off",
),
HaEntitySummary(
entity_id="sensor.pfsense_interface_vpn_inbytes",
domain="sensor",
device_class="data_size",
state_class="measurement",
unit_of_measurement="KiB",
friendly_name="pfSense Interface VPN inbytes",
),
]
settings = Settings(
ha_url="http://ha.local",
ha_token="token",
model_store=str(tmp_path / "models"),
automation_store=str(tmp_path / "automations"),
actuator_store=str(tmp_path / "actuators"),
history_days=14,
min_training_points=5,
retrain_stale_hours=24,
reconcile_interval_seconds=900,
)
app.state.registry = ModelRegistry(tmp_path / "models")
app.state.actuator_store = ActuatorStore(tmp_path / "actuators")
app.state.ha_reader = FakeHaReader(
entities,
{"sensor.abstellkammer_illuminance": [10, 11, 12, 13, 14, 15]},
)
app.state.actuator_service = ActuatorReconciliationService(
ha_reader=app.state.ha_reader,
store=app.state.actuator_store,
registry=app.state.registry,
settings=settings,
)
app.state.behavior_engine = BehaviorEngine(
ha_reader=app.state.ha_reader,
store=app.state.actuator_store,
settings=settings,
)
def test_actuator_api_configures_reconciles_and_removes(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
created = client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
assert created.status_code == 201
assert created.json()["assignment"]["selected_numeric_entity_id"] == (
"sensor.abstellkammer_illuminance"
)
listed = client.get("/v1/actuators")
assert listed.status_code == 200
assert listed.json()[0]["lifecycle"]["status"] == "trained"
assert listed.json()[0]["behavior"]["mode"] == "shadow"
evaluation = client.post("/v1/actuators/light.abstellkammer/evaluate")
assert evaluation.status_code == 200
premature_activation = client.post(
"/v1/actuators/light.abstellkammer/activation",
json={"active": True},
)
assert premature_activation.status_code == 409
reconciliation = client.post("/v1/actuators/reconciliation/run")
assert reconciliation.status_code == 200
assert reconciliation.json()["trained_models"] == 1
removed = client.delete("/v1/actuators/light.abstellkammer")
assert removed.status_code == 204
assert client.get("/v1/actuators").json() == []
def test_manual_assignment_endpoint_updates_context(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
response = client.post(
"/v1/actuators/light.abstellkammer/assignment",
json={
"numeric_entity_id": "sensor.abstellkammer_illuminance",
"context_entity_ids": ["binary_sensor.abstellkammer_motion"],
"note": "Manuell gesetzt",
},
)
assert response.status_code == 200
payload = response.json()
assert payload["assignment"]["source"] == "manual"
assert payload["assignment"]["selected_numeric_entity_id"] == (
"sensor.abstellkammer_illuminance"
)
assert payload["assignment"]["selected_context_entity_ids"] == [
"binary_sensor.abstellkammer_motion"
]
def test_weight_override_endpoint_updates_sensor_relevance(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
client.post(
"/v1/actuators/light.abstellkammer/assignment",
json={
"numeric_entity_id": "sensor.abstellkammer_illuminance",
"context_entity_ids": ["binary_sensor.abstellkammer_motion"],
},
)
response = client.post(
"/v1/actuators/light.abstellkammer/weights",
json={
"sensor_weights": {
"sensor.abstellkammer_illuminance": 0.75,
"binary_sensor.abstellkammer_motion": 0.5,
},
"sensor_weight_groups": [
{
"group_id": "abstellkammer_context",
"name": "Abstellkammer Kontext",
"entity_ids": [
"sensor.abstellkammer_illuminance",
"binary_sensor.abstellkammer_motion",
],
"weight": 0.8,
}
],
"note": "Gewichtung korrigiert",
},
)
assert response.status_code == 200
payload = response.json()
assert payload["manual_override"]["sensor_weights"]["sensor.abstellkammer_illuminance"] == 0.75
assert payload["manual_override"]["sensor_weight_groups"][0]["group_id"] == (
"abstellkammer_context"
)
numeric = {
candidate["entity_id"]: candidate
for candidate in payload["numeric_candidates"]
}
assert numeric["sensor.abstellkammer_illuminance"]["manual_weight"] == 0.75
assert numeric["sensor.abstellkammer_illuminance"]["effective_weight"] == 0.75
def test_safety_profile_can_block_actuator_manually(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
response = client.post(
"/v1/actuators/light.abstellkammer/safety",
json={
"safety": {
"stage": "shadow",
"manual_block": True,
"min_confidence": 0.9,
"cooldown_seconds": 120,
"rules": [
{
"rule_id": "manual_block",
"label": "Manuelle Sperre respektieren",
"enabled": True,
"blocking": True,
"reason": "Test",
}
],
"note": "Test",
}
},
)
assert response.status_code == 200
payload = response.json()
assert payload["behavior"]["safety"]["manual_block"] is True
assert payload["behavior"]["safety"]["min_confidence"] == 0.9
assert payload["behavior"]["safety"]["cooldown_seconds"] == 120
def test_feedback_adapts_sensor_weights_and_model_can_rollback(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
client.post(
"/v1/actuators",
json={"actuator_entity_id": "light.abstellkammer"},
)
record = app.state.actuator_store.get("light.abstellkammer")
version_id = "model-test"
snapshot = ModelSnapshot(
version_id=version_id,
sample_count=1,
high_confidence_sample_count=1,
average_confidence=0.9,
patterns=[],
reason="Test-Snapshot",
)
app.state.actuator_store.upsert(
record.model_copy(
update={
"behavior": record.behavior.model_copy(
update={
"model_snapshots": [snapshot],
"active_model_version": "model-current",
"sample_count": 2,
}
)
}
)
)
feedback = client.post(
"/v1/actuators/light.abstellkammer/feedback",
json={"correct": False, "expected_state": "off"},
)
rollback = client.post(
"/v1/actuators/light.abstellkammer/model/rollback",
json={"version_id": version_id},
)
assert feedback.status_code == 200
feedback_payload = feedback.json()
assert feedback_payload["behavior"]["adaptive_weight_updates"]
assert feedback_payload["manual_override"]["sensor_weights"]
assert rollback.status_code == 200
assert rollback.json()["behavior"]["active_model_version"] == version_id
def test_summary_is_lightweight_and_uses_cached_entity_metadata(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
client.get("/v1/actuators/discovery")
client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
response = client.get("/v1/actuators/summary")
assert response.status_code == 200
payload = response.json()
assert payload[0]["actuator_entity_id"] == "light.abstellkammer"
assert payload[0]["friendly_name"] == "Abstellkammer Licht"
assert payload[0]["area_name"] == "Abstellkammer"
assert "behavior" not in payload[0]
assert "numeric_candidates" not in payload[0]
def test_dashboard_overview_uses_cache_without_ha_roundtrip(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
reader = app.state.ha_reader
client.get("/v1/actuators/discovery")
client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
calls_before = reader.read_entities_calls
response = client.get("/v1/actuators/dashboard")
assert response.status_code == 200
assert reader.read_entities_calls == calls_before
payload = response.json()
assert payload["cache"]["available"] is True
assert payload["cache"]["entity_count"] == 4
assert payload["actuators"][0]["friendly_name"] == "Abstellkammer Licht"
assert payload["discovery_groups"]
assert payload["jobs"]["jobs"][-1]["kind"] == "discovery"
def test_reconciliation_run_records_visible_job_queue(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
response = client.post("/v1/actuators/reconciliation/run")
jobs = client.get("/v1/actuators/job-queue/state")
assert response.status_code == 200
assert jobs.status_code == 200
payload = jobs.json()
assert [job["kind"] for job in payload["jobs"][-3:]] == [
"reconciliation",
"training",
"evaluation",
]
assert payload["jobs"][-1]["status"] == "completed"
def test_dashboard_start_path_stays_within_five_second_budget(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
client.get("/v1/actuators/discovery")
client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
root_started_at = perf_counter()
root_response = client.get("/")
root_elapsed = perf_counter() - root_started_at
dashboard_started_at = perf_counter()
dashboard_response = client.get("/v1/actuators/dashboard")
dashboard_elapsed = perf_counter() - dashboard_started_at
assert root_response.status_code == 200
assert dashboard_response.status_code == 200
assert root_elapsed < 5.0
assert dashboard_elapsed < 5.0
def test_discovery_reads_entities_once_and_reuses_them(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
reader = app.state.ha_reader
response = client.get("/v1/actuators/discovery", params={"refresh": True})
assert response.status_code == 200
assert reader.read_entities_calls == 1
def test_context_options_returns_learnable_entities(tmp_path: Path) -> None:
with TestClient(app) as client:
_install_service(tmp_path)
client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
response = client.get(
"/v1/actuators/context-options",
params={"actuator_entity_id": "light.abstellkammer"},
)
assert response.status_code == 200
entity_ids = {item["entity_id"] for item in response.json()}
assert "sensor.abstellkammer_illuminance" in entity_ids
assert "binary_sensor.abstellkammer_motion" in entity_ids
assert "sensor.pfsense_interface_vpn_inbytes" not in entity_ids
def test_actuator_discovery_prefers_light_over_duplicate_switch() -> None:
entities = {
"light.schreibtisch": HaEntitySummary(
entity_id="light.schreibtisch",
domain="light",
friendly_name="Schreibtisch Licht",
device_id="device-1",
),
"switch.schreibtisch": HaEntitySummary(
entity_id="switch.schreibtisch",
domain="switch",
friendly_name="Schreibtisch Schalter",
device_id="device-1",
),
"cover.rollladen": HaEntitySummary(
entity_id="cover.rollladen",
domain="cover",
friendly_name="Rollladen",
device_id="device-2",
),
}
result = _deduplicate_actuator_ids(
[
("switch.schreibtisch", "switch_socket"),
("light.schreibtisch", "light"),
("cover.rollladen", "cover_shutter"),
],
entities,
)
assert result == ["cover.rollladen", "light.schreibtisch"]