home-assistant-core/tests/components/energy/test_websocket_api.py

1158 lines
35 KiB
Python

"""Test the Energy websocket API."""
from typing import Any
from unittest.mock import AsyncMock, Mock
import pytest
from homeassistant.components.energy import data, is_configured
from homeassistant.components.recorder import Recorder
from homeassistant.components.recorder.statistics import async_add_external_statistics
from homeassistant.core import HomeAssistant
from homeassistant.setup import async_setup_component
from homeassistant.util import dt as dt_util
from tests.common import MockConfigEntry, flush_store, mock_platform
from tests.components.recorder.common import (
async_recorder_block_till_done,
async_wait_recording_done,
)
from tests.typing import WebSocketGenerator
@pytest.fixture(autouse=True)
async def setup_integration(recorder_mock, hass):
"""Set up the integration."""
assert await async_setup_component(hass, "energy", {})
@pytest.fixture
def mock_energy_platform(hass):
"""Mock an energy platform."""
hass.config.components.add("some_domain")
mock_platform(
hass,
"some_domain.energy",
Mock(
async_get_solar_forecast=AsyncMock(
return_value={
"wh_hours": {
"2021-06-27T13:00:00+00:00": 12,
"2021-06-27T14:00:00+00:00": 8,
}
}
)
),
)
async def test_get_preferences_no_data(
hass: HomeAssistant, hass_ws_client: WebSocketGenerator
) -> None:
"""Test we get error if no preferences set."""
client = await hass_ws_client(hass)
await client.send_json({"id": 5, "type": "energy/get_prefs"})
msg = await client.receive_json()
assert msg["id"] == 5
assert not msg["success"]
assert msg["error"] == {"code": "not_found", "message": "No prefs"}
async def test_get_preferences_default(
hass: HomeAssistant,
hass_ws_client: WebSocketGenerator,
hass_storage: dict[str, Any],
) -> None:
"""Test we get preferences."""
assert not await is_configured(hass)
manager = await data.async_get_manager(hass)
manager.data = data.EnergyManager.default_preferences()
client = await hass_ws_client(hass)
assert not await is_configured(hass)
await client.send_json({"id": 5, "type": "energy/get_prefs"})
msg = await client.receive_json()
assert msg["id"] == 5
assert msg["success"]
assert msg["result"] == data.EnergyManager.default_preferences()
async def test_save_preferences(
hass: HomeAssistant,
hass_ws_client: WebSocketGenerator,
hass_storage: dict[str, Any],
mock_energy_platform,
) -> None:
"""Test we can save preferences."""
client = await hass_ws_client(hass)
# Test saving default prefs is also valid.
default_prefs = data.EnergyManager.default_preferences()
await client.send_json({"id": 5, "type": "energy/save_prefs", **default_prefs})
msg = await client.receive_json()
assert msg["id"] == 5
assert msg["success"]
assert msg["result"] == default_prefs
new_prefs = {
"energy_sources": [
{
"type": "grid",
"flow_from": [
{
"stat_energy_from": "sensor.heat_pump_meter",
"stat_cost": "heat_pump_kwh_cost",
"entity_energy_price": None,
"number_energy_price": None,
},
{
"stat_energy_from": "sensor.heat_pump_meter_2",
"stat_cost": None,
"entity_energy_price": None,
"number_energy_price": 0.20,
},
],
"flow_to": [
{
"stat_energy_to": "sensor.return_to_grid_peak",
"stat_compensation": None,
"entity_energy_price": None,
"number_energy_price": None,
},
{
"stat_energy_to": "sensor.return_to_grid_offpeak",
"stat_compensation": None,
"entity_energy_price": None,
"number_energy_price": 0.20,
},
],
"cost_adjustment_day": 1.2,
},
{
"type": "solar",
"stat_energy_from": "my_solar_production",
"config_entry_solar_forecast": ["predicted_config_entry"],
},
{
"type": "battery",
"stat_energy_from": "my_battery_draining",
"stat_energy_to": "my_battery_charging",
},
],
"device_consumption": [{"stat_consumption": "some_device_usage"}],
}
await client.send_json({"id": 6, "type": "energy/save_prefs", **new_prefs})
msg = await client.receive_json()
assert msg["id"] == 6
assert msg["success"]
assert msg["result"] == new_prefs
assert data.STORAGE_KEY not in hass_storage, "expected not to be written yet"
await flush_store((await data.async_get_manager(hass))._store)
assert hass_storage[data.STORAGE_KEY]["data"] == new_prefs
assert await is_configured(hass)
# Verify info reflects data.
await client.send_json({"id": 7, "type": "energy/info"})
msg = await client.receive_json()
assert msg["id"] == 7
assert msg["success"]
assert msg["result"] == {
"cost_sensors": {
"sensor.heat_pump_meter_2": "sensor.heat_pump_meter_2_cost",
"sensor.return_to_grid_offpeak": (
"sensor.return_to_grid_offpeak_compensation"
),
},
"solar_forecast_domains": ["some_domain"],
}
# Prefs with limited options
new_prefs_2 = {
"energy_sources": [
{
"type": "grid",
"flow_from": [
{
"stat_energy_from": "sensor.heat_pump_meter",
"stat_cost": None,
"entity_energy_price": None,
"number_energy_price": None,
}
],
"flow_to": [],
"cost_adjustment_day": 1.2,
},
{
"type": "solar",
"stat_energy_from": "my_solar_production",
"config_entry_solar_forecast": None,
},
],
}
await client.send_json({"id": 8, "type": "energy/save_prefs", **new_prefs_2})
msg = await client.receive_json()
assert msg["id"] == 8
assert msg["success"]
assert msg["result"] == {**new_prefs, **new_prefs_2}
async def test_handle_duplicate_from_stat(
hass: HomeAssistant, hass_ws_client: WebSocketGenerator
) -> None:
"""Test we handle duplicate from stats."""
client = await hass_ws_client(hass)
await client.send_json(
{
"id": 5,
"type": "energy/save_prefs",
"energy_sources": [
{
"type": "grid",
"flow_from": [
{
"stat_energy_from": "sensor.heat_pump_meter",
"stat_cost": None,
"entity_energy_price": None,
"number_energy_price": None,
},
{
"stat_energy_from": "sensor.heat_pump_meter",
"stat_cost": None,
"entity_energy_price": None,
"number_energy_price": None,
},
],
"flow_to": [],
"cost_adjustment_day": 0,
},
],
}
)
msg = await client.receive_json()
assert msg["id"] == 5
assert not msg["success"]
assert msg["error"]["code"] == "invalid_format"
async def test_validate(
hass: HomeAssistant, hass_ws_client: WebSocketGenerator
) -> None:
"""Test we can validate the preferences."""
client = await hass_ws_client(hass)
await client.send_json({"id": 5, "type": "energy/validate"})
msg = await client.receive_json()
assert msg["id"] == 5
assert msg["success"]
assert msg["result"] == {
"energy_sources": [],
"device_consumption": [],
}
async def test_get_solar_forecast(
hass: HomeAssistant, hass_ws_client: WebSocketGenerator, mock_energy_platform
) -> None:
"""Test we get preferences."""
entry = MockConfigEntry(domain="some_domain")
entry.add_to_hass(hass)
manager = await data.async_get_manager(hass)
manager.data = data.EnergyManager.default_preferences()
manager.data["energy_sources"].append(
{
"type": "solar",
"stat_energy_from": "my_solar_production",
"config_entry_solar_forecast": [entry.entry_id],
}
)
client = await hass_ws_client(hass)
await client.send_json({"id": 5, "type": "energy/solar_forecast"})
msg = await client.receive_json()
assert msg["id"] == 5
assert msg["success"]
assert msg["result"] == {
entry.entry_id: {
"wh_hours": {
"2021-06-27T13:00:00+00:00": 12,
"2021-06-27T14:00:00+00:00": 8,
}
}
}
@pytest.mark.freeze_time("2021-08-01 00:00:00+00:00")
async def test_fossil_energy_consumption_no_co2(
recorder_mock: Recorder, hass: HomeAssistant, hass_ws_client: WebSocketGenerator
) -> None:
"""Test fossil_energy_consumption when co2 data is missing."""
now = dt_util.utcnow()
later = dt_util.as_utc(dt_util.parse_datetime("2022-09-01 00:00:00"))
await async_setup_component(hass, "history", {})
await async_setup_component(hass, "sensor", {})
await async_recorder_block_till_done(hass)
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
period2_day_start = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 00:00:00"))
period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
period4_day_start = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 00:00:00"))
external_energy_statistics_1 = (
{
"start": period1,
"last_reset": None,
"state": 0,
"sum": 2,
},
{
"start": period2,
"last_reset": None,
"state": 1,
"sum": 3,
},
{
"start": period3,
"last_reset": None,
"state": 2,
"sum": 5,
},
{
"start": period4,
"last_reset": None,
"state": 3,
"sum": 8,
},
)
external_energy_metadata_1 = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import_tariff_1",
"unit_of_measurement": "kWh",
}
external_energy_statistics_2 = (
{
"start": period1,
"last_reset": None,
"state": 0,
"sum": 20,
},
{
"start": period2,
"last_reset": None,
"state": 1,
"sum": 30,
},
{
"start": period3,
"last_reset": None,
"state": 2,
"sum": 50,
},
{
"start": period4,
"last_reset": None,
"state": 3,
"sum": 80,
},
)
external_energy_metadata_2 = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import_tariff_2",
"unit_of_measurement": "kWh",
}
async_add_external_statistics(
hass, external_energy_metadata_1, external_energy_statistics_1
)
async_add_external_statistics(
hass, external_energy_metadata_2, external_energy_statistics_2
)
await async_wait_recording_done(hass)
client = await hass_ws_client()
await client.send_json(
{
"id": 1,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:co2_ratio_missing",
"period": "hour",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {
period1.isoformat(): pytest.approx(22.0),
period2.isoformat(): pytest.approx(33.0 - 22.0),
period3.isoformat(): pytest.approx(55.0 - 33.0),
period4.isoformat(): pytest.approx(88.0 - 55.0),
}
await client.send_json(
{
"id": 2,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:co2_ratio_missing",
"period": "day",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {
period1.isoformat(): pytest.approx(22.0),
period2_day_start.isoformat(): pytest.approx(33.0 - 22.0),
period3.isoformat(): pytest.approx(55.0 - 33.0),
period4_day_start.isoformat(): pytest.approx(88.0 - 55.0),
}
await client.send_json(
{
"id": 3,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:co2_ratio_missing",
"period": "month",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {
period1.isoformat(): pytest.approx(33.0),
period3.isoformat(): pytest.approx((55.0 - 33.0) + (88.0 - 55.0)),
}
@pytest.mark.freeze_time("2021-08-01 00:00:00+00:00")
async def test_fossil_energy_consumption_hole(
recorder_mock: Recorder, hass: HomeAssistant, hass_ws_client: WebSocketGenerator
) -> None:
"""Test fossil_energy_consumption when some data points lack sum."""
now = dt_util.utcnow()
later = dt_util.as_utc(dt_util.parse_datetime("2022-09-01 00:00:00"))
await async_setup_component(hass, "history", {})
await async_setup_component(hass, "sensor", {})
await async_recorder_block_till_done(hass)
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
period2_day_start = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 00:00:00"))
period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
period4_day_start = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 00:00:00"))
external_energy_statistics_1 = (
{
"start": period1,
"last_reset": None,
"state": 0,
"sum": None,
},
{
"start": period2,
"last_reset": None,
"state": 1,
"sum": 3,
},
{
"start": period3,
"last_reset": None,
"state": 2,
"sum": 5,
},
{
"start": period4,
"last_reset": None,
"state": 3,
"sum": 8,
},
)
external_energy_metadata_1 = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import_tariff_1",
"unit_of_measurement": "kWh",
}
external_energy_statistics_2 = (
{
"start": period1,
"last_reset": None,
"state": 0,
"sum": 20,
},
{
"start": period2,
"last_reset": None,
"state": 1,
"sum": None,
},
{
"start": period3,
"last_reset": None,
"state": 2,
"sum": 50,
},
{
"start": period4,
"last_reset": None,
"state": 3,
"sum": 80,
},
)
external_energy_metadata_2 = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import_tariff_2",
"unit_of_measurement": "kWh",
}
async_add_external_statistics(
hass, external_energy_metadata_1, external_energy_statistics_1
)
async_add_external_statistics(
hass, external_energy_metadata_2, external_energy_statistics_2
)
await async_wait_recording_done(hass)
client = await hass_ws_client()
await client.send_json(
{
"id": 1,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:co2_ratio_missing",
"period": "hour",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {
period1.isoformat(): pytest.approx(20.0),
period2.isoformat(): pytest.approx(3.0),
period3.isoformat(): pytest.approx(32.0),
period4.isoformat(): pytest.approx(88.0 - 55.0),
}
await client.send_json(
{
"id": 2,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:co2_ratio_missing",
"period": "day",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {
period1.isoformat(): pytest.approx(20.0),
period2_day_start.isoformat(): pytest.approx(3.0),
period3.isoformat(): pytest.approx(32.0),
period4_day_start.isoformat(): pytest.approx(88.0 - 55.0),
}
await client.send_json(
{
"id": 3,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:co2_ratio_missing",
"period": "month",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {
period1.isoformat(): pytest.approx(23.0),
period3.isoformat(): pytest.approx((55.0 - 3.0) + (88.0 - 55.0) - 20.0),
}
@pytest.mark.freeze_time("2021-08-01 00:00:00+00:00")
async def test_fossil_energy_consumption_no_data(
recorder_mock: Recorder, hass: HomeAssistant, hass_ws_client: WebSocketGenerator
) -> None:
"""Test fossil_energy_consumption when there is no data."""
now = dt_util.utcnow()
later = dt_util.as_utc(dt_util.parse_datetime("2022-09-01 00:00:00"))
await async_setup_component(hass, "history", {})
await async_setup_component(hass, "sensor", {})
await async_recorder_block_till_done(hass)
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
external_energy_statistics_1 = (
{
"start": period1,
"last_reset": None,
"state": 0,
"sum": None,
},
{
"start": period2,
"last_reset": None,
"state": 1,
"sum": 3,
},
{
"start": period3,
"last_reset": None,
"state": 2,
"sum": 5,
},
{
"start": period4,
"last_reset": None,
"state": 3,
"sum": 8,
},
)
external_energy_metadata_1 = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import_tariff_1",
"unit_of_measurement": "kWh",
}
external_energy_statistics_2 = (
{
"start": period1,
"last_reset": None,
"state": 0,
"sum": 20,
},
{
"start": period2,
"last_reset": None,
"state": 1,
"sum": None,
},
{
"start": period3,
"last_reset": None,
"state": 2,
"sum": 50,
},
{
"start": period4,
"last_reset": None,
"state": 3,
"sum": 80,
},
)
external_energy_metadata_2 = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import_tariff_2",
"unit_of_measurement": "kWh",
}
async_add_external_statistics(
hass, external_energy_metadata_1, external_energy_statistics_1
)
async_add_external_statistics(
hass, external_energy_metadata_2, external_energy_statistics_2
)
await async_wait_recording_done(hass)
client = await hass_ws_client()
await client.send_json(
{
"id": 1,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1_missing",
"test:total_energy_import_tariff_2_missing",
],
"co2_statistic_id": "test:co2_ratio_missing",
"period": "hour",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {}
await client.send_json(
{
"id": 2,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1_missing",
"test:total_energy_import_tariff_2_missing",
],
"co2_statistic_id": "test:co2_ratio_missing",
"period": "day",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {}
await client.send_json(
{
"id": 3,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1_missing",
"test:total_energy_import_tariff_2_missing",
],
"co2_statistic_id": "test:co2_ratio_missing",
"period": "month",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {}
@pytest.mark.freeze_time("2021-08-01 00:00:00+00:00")
async def test_fossil_energy_consumption(
recorder_mock: Recorder, hass: HomeAssistant, hass_ws_client: WebSocketGenerator
) -> None:
"""Test fossil_energy_consumption with co2 sensor data."""
now = dt_util.utcnow()
later = dt_util.as_utc(dt_util.parse_datetime("2022-09-01 00:00:00"))
await async_setup_component(hass, "history", {})
await async_setup_component(hass, "sensor", {})
await async_recorder_block_till_done(hass)
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
period2_day_start = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 00:00:00"))
period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
period4_day_start = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 00:00:00"))
external_energy_statistics_1 = (
{
"start": period1,
"last_reset": None,
"state": 0,
"sum": 2,
},
{
"start": period2,
"last_reset": None,
"state": 1,
"sum": 3,
},
{
"start": period3,
"last_reset": None,
"state": 2,
"sum": 4,
},
{
"start": period4,
"last_reset": None,
"state": 3,
"sum": 5,
},
)
external_energy_metadata_1 = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import_tariff_1",
"unit_of_measurement": "kWh",
}
external_energy_statistics_2 = (
{
"start": period1,
"last_reset": None,
"state": 0,
"sum": 20000,
},
{
"start": period2,
"last_reset": None,
"state": 1,
"sum": 30000,
},
{
"start": period3,
"last_reset": None,
"state": 2,
"sum": 40000,
},
{
"start": period4,
"last_reset": None,
"state": 3,
"sum": 50000,
},
)
external_energy_metadata_2 = {
"has_mean": False,
"has_sum": True,
"name": "Total imported energy",
"source": "test",
"statistic_id": "test:total_energy_import_tariff_2",
"unit_of_measurement": "Wh",
}
external_co2_statistics = (
{
"start": period1,
"last_reset": None,
"mean": 10,
},
{
"start": period2,
"last_reset": None,
"mean": 30,
},
{
"start": period3,
"last_reset": None,
"mean": 60,
},
{
"start": period4,
"last_reset": None,
"mean": 90,
},
)
external_co2_metadata = {
"has_mean": True,
"has_sum": False,
"name": "Fossil percentage",
"source": "test",
"statistic_id": "test:fossil_percentage",
"unit_of_measurement": "%",
}
async_add_external_statistics(
hass, external_energy_metadata_1, external_energy_statistics_1
)
async_add_external_statistics(
hass, external_energy_metadata_2, external_energy_statistics_2
)
async_add_external_statistics(hass, external_co2_metadata, external_co2_statistics)
await async_wait_recording_done(hass)
client = await hass_ws_client()
await client.send_json(
{
"id": 1,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:fossil_percentage",
"period": "hour",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {
period1.isoformat(): pytest.approx(11.0 * 0.2),
period2.isoformat(): pytest.approx((33.0 - 22.0) * 0.3),
period3.isoformat(): pytest.approx((44.0 - 33.0) * 0.6),
period4.isoformat(): pytest.approx((55.0 - 44.0) * 0.9),
}
await client.send_json(
{
"id": 2,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:fossil_percentage",
"period": "day",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {
period1.isoformat(): pytest.approx(11.0 * 0.2),
period2_day_start.isoformat(): pytest.approx((33.0 - 22.0) * 0.3),
period3.isoformat(): pytest.approx((44.0 - 33.0) * 0.6),
period4_day_start.isoformat(): pytest.approx((55.0 - 44.0) * 0.9),
}
await client.send_json(
{
"id": 3,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:fossil_percentage",
"period": "month",
}
)
response = await client.receive_json()
assert response["success"]
assert response["result"] == {
period1.isoformat(): pytest.approx(11.0 * 0.5),
period3.isoformat(): pytest.approx(
((44.0 - 33.0) * 0.6) + ((55.0 - 44.0) * 0.9)
),
}
async def test_fossil_energy_consumption_checks(
hass: HomeAssistant, hass_ws_client: WebSocketGenerator
) -> None:
"""Test fossil_energy_consumption parameter validation."""
client = await hass_ws_client(hass)
now = dt_util.utcnow()
await client.send_json(
{
"id": 1,
"type": "energy/fossil_energy_consumption",
"start_time": "donald_duck",
"end_time": now.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:fossil_percentage",
"period": "hour",
}
)
msg = await client.receive_json()
assert msg["id"] == 1
assert not msg["success"]
assert msg["error"] == {
"code": "invalid_start_time",
"message": "Invalid start_time",
}
await client.send_json(
{
"id": 2,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": "donald_duck",
"energy_statistic_ids": [
"test:total_energy_import_tariff_1",
"test:total_energy_import_tariff_2",
],
"co2_statistic_id": "test:fossil_percentage",
"period": "hour",
}
)
msg = await client.receive_json()
assert msg["id"] == 2
assert not msg["success"]
assert msg["error"] == {"code": "invalid_end_time", "message": "Invalid end_time"}
@pytest.mark.freeze_time("2021-08-01 01:00:00+00:00")
async def test_fossil_energy_consumption_check_missing_hour(
hass: HomeAssistant, hass_ws_client: WebSocketGenerator
) -> None:
"""Test explicitly if the API keeps the first hour of data for the requested time frame."""
now = dt_util.utcnow()
later = dt_util.as_utc(dt_util.parse_datetime("2021-08-01 05:00:00"))
await async_setup_component(hass, "history", {})
await async_setup_component(hass, "sensor", {})
await async_recorder_block_till_done(hass)
hour1 = dt_util.as_utc(dt_util.parse_datetime("2021-08-01 01:00:00"))
hour2 = dt_util.as_utc(dt_util.parse_datetime("2021-08-01 02:00:00"))
hour3 = dt_util.as_utc(dt_util.parse_datetime("2021-08-01 03:00:00"))
hour4 = dt_util.as_utc(dt_util.parse_datetime("2021-08-01 04:00:00"))
# add energy statistics for 4 hours
energy_statistics_1 = (
{
"start": hour1,
"last_reset": None,
"state": 0,
"sum": 1,
},
{
"start": hour2,
"last_reset": None,
"state": 1,
"sum": 3,
},
{
"start": hour3,
"last_reset": None,
"state": 2,
"sum": 5,
},
{
"start": hour4,
"last_reset": None,
"state": 3,
"sum": 8,
},
)
energy_metadata_1 = {
"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, energy_metadata_1, energy_statistics_1)
# add co2 statistics for 4 hours
co2_statistics = (
{
"start": hour1,
"last_reset": None,
"mean": 10,
},
{
"start": hour2,
"last_reset": None,
"mean": 30,
},
{
"start": hour3,
"last_reset": None,
"mean": 60,
},
{
"start": hour4,
"last_reset": None,
"mean": 90,
},
)
co2_metadata = {
"has_mean": True,
"has_sum": False,
"name": "Fossil percentage",
"source": "test",
"statistic_id": "test:fossil_percentage",
"unit_of_measurement": "%",
}
async_add_external_statistics(hass, co2_metadata, co2_statistics)
await async_wait_recording_done(hass)
client = await hass_ws_client()
await client.send_json(
{
"id": 1,
"type": "energy/fossil_energy_consumption",
"start_time": now.isoformat(),
"end_time": later.isoformat(),
"energy_statistic_ids": [
"test:total_energy_import",
],
"co2_statistic_id": "test:fossil_percentage",
"period": "hour",
}
)
# check if we received deltas for the requested time frame
response = await client.receive_json()
assert response["success"]
assert list(response["result"].keys()) == [
hour1.isoformat(),
hour2.isoformat(),
hour3.isoformat(),
hour4.isoformat(),
]