Add dashboard control and learning editor

This commit is contained in:
2026-06-18 13:08:58 +02:00
parent 937c79a19b
commit 01e5464ec1
6 changed files with 338 additions and 17 deletions

View File

@@ -2,20 +2,80 @@ from __future__ import annotations
from fastapi.testclient import TestClient
from app.main import app, stores
import app.main as main
from app.core.event_core import EventCore
from app.core.models import EntityState, RuntimeState
from app.core.stores import FutureStores
def test_health_and_backup_roundtrip(tmp_path, monkeypatch) -> None: # type: ignore[no-untyped-def]
monkeypatch.setenv("SILLYHOME_FUTURE_STORE", str(tmp_path))
client = TestClient(app)
test_stores = FutureStores(tmp_path)
monkeypatch.setattr(main, "stores", test_stores)
monkeypatch.setattr(main, "event_core", EventCore(test_stores))
client = TestClient(main.app)
health = client.get("/health")
backup = client.get("/v2/backup/export")
restore = client.post("/v2/backup/restore", json=backup.json())
assert stores is not None
assert health.status_code == 200
assert health.json()["version"] == "2.0.0-alpha.7"
assert health.json()["version"] == "2.0.0-alpha.8"
assert backup.status_code == 200
assert restore.status_code == 200
assert restore.json() == {"status": "restored"}
def test_dashboard_control_and_learning_endpoints(tmp_path, monkeypatch) -> None: # type: ignore[no-untyped-def]
test_stores = FutureStores(tmp_path)
test_stores.save_runtime(
RuntimeState(
entities={
"light.storage": EntityState(
entity_id="light.storage",
domain="light",
state="off",
),
"binary_sensor.storage_door": EntityState(
entity_id="binary_sensor.storage_door",
domain="binary_sensor",
state="off",
),
}
)
)
monkeypatch.setattr(main, "stores", test_stores)
monkeypatch.setattr(main, "event_core", EventCore(test_stores))
client = TestClient(main.app)
entities = client.get("/v2/entities?domain=light,binary_sensor")
control = client.post(
"/v2/control/light.storage/stage",
json={
"stage": "dry_run",
"min_confidence": 0.75,
"manual_block": False,
"cooldown_seconds": 120,
},
)
learning = client.post(
"/v2/learning/light.storage/patterns",
json={
"trigger_entity_id": "binary_sensor.storage_door",
"trigger_state": "on",
"target_state": "on",
"confidence": 0.91,
},
)
dashboard = client.get("/v2/dashboard")
assert entities.status_code == 200
assert [item["entity_id"] for item in entities.json()] == [
"binary_sensor.storage_door",
"light.storage",
]
assert control.status_code == 200
assert control.json()["stage"] == "dry_run"
assert learning.status_code == 200
assert learning.json()["patterns"][0]["trigger_entity_id"] == "binary_sensor.storage_door"
assert dashboard.status_code == 200
assert dashboard.json()["actuator_count"] == 1