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5 Commits

Author SHA1 Message Date
G Johansson
ed68a21afd Don't load from platform yaml 2025-06-30 16:42:26 +00:00
G Johansson
612cc91423 Add tests 2025-06-30 16:42:25 +00:00
G Johansson
170989ef30 Fixes 2025-06-30 16:42:25 +00:00
G Johansson
4aebf41c59 Fixes 2025-06-30 16:42:25 +00:00
G Johansson
abbaaf4ff5 Add config flow to compensation helper 2025-06-30 16:42:15 +00:00
12 changed files with 811 additions and 54 deletions

View File

@@ -7,15 +7,18 @@ import numpy as np
import voluptuous as vol
from homeassistant.components.sensor import DOMAIN as SENSOR_DOMAIN
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import (
CONF_ATTRIBUTE,
CONF_MAXIMUM,
CONF_MINIMUM,
CONF_NAME,
CONF_SOURCE,
CONF_UNIQUE_ID,
CONF_UNIT_OF_MEASUREMENT,
)
from homeassistant.core import HomeAssistant
from homeassistant.exceptions import ConfigEntryError
from homeassistant.helpers import config_validation as cv
from homeassistant.helpers.discovery import async_load_platform
from homeassistant.helpers.typing import ConfigType
@@ -32,6 +35,7 @@ from .const import (
DEFAULT_DEGREE,
DEFAULT_PRECISION,
DOMAIN,
PLATFORMS,
)
_LOGGER = logging.getLogger(__name__)
@@ -77,59 +81,104 @@ CONFIG_SCHEMA = vol.Schema(
)
async def create_compensation_data(
hass: HomeAssistant, compensation: str, conf: ConfigType, should_raise: bool = False
) -> None:
"""Create compensation data."""
_LOGGER.debug("Setup %s.%s", DOMAIN, compensation)
degree = conf[CONF_DEGREE]
initial_coefficients: list[tuple[float, float]] = conf[CONF_DATAPOINTS]
sorted_coefficients = sorted(initial_coefficients, key=itemgetter(0))
# get x values and y values from the x,y point pairs
x_values, y_values = zip(*initial_coefficients, strict=False)
# try to get valid coefficients for a polynomial
coefficients = None
with np.errstate(all="raise"):
try:
coefficients = np.polyfit(x_values, y_values, degree)
except FloatingPointError as error:
_LOGGER.error(
"Setup of %s encountered an error, %s",
compensation,
error,
)
if should_raise:
raise ConfigEntryError(
translation_domain=DOMAIN,
translation_key="setup_error",
translation_placeholders={
"title": conf[CONF_NAME],
"error": str(error),
},
) from error
if coefficients is not None:
data = {
k: v for k, v in conf.items() if k not in [CONF_DEGREE, CONF_DATAPOINTS]
}
data[CONF_POLYNOMIAL] = np.poly1d(coefficients)
if data[CONF_LOWER_LIMIT]:
data[CONF_MINIMUM] = sorted_coefficients[0]
else:
data[CONF_MINIMUM] = None
if data[CONF_UPPER_LIMIT]:
data[CONF_MAXIMUM] = sorted_coefficients[-1]
else:
data[CONF_MAXIMUM] = None
hass.data[DATA_COMPENSATION][compensation] = data
async def async_setup(hass: HomeAssistant, config: ConfigType) -> bool:
"""Set up the Compensation sensor."""
hass.data[DATA_COMPENSATION] = {}
if DOMAIN not in config:
return True
for compensation, conf in config[DOMAIN].items():
_LOGGER.debug("Setup %s.%s", DOMAIN, compensation)
degree = conf[CONF_DEGREE]
initial_coefficients: list[tuple[float, float]] = conf[CONF_DATAPOINTS]
sorted_coefficients = sorted(initial_coefficients, key=itemgetter(0))
# get x values and y values from the x,y point pairs
x_values, y_values = zip(*initial_coefficients, strict=False)
# try to get valid coefficients for a polynomial
coefficients = None
with np.errstate(all="raise"):
try:
coefficients = np.polyfit(x_values, y_values, degree)
except FloatingPointError as error:
_LOGGER.error(
"Setup of %s encountered an error, %s",
compensation,
error,
)
if coefficients is not None:
data = {
k: v for k, v in conf.items() if k not in [CONF_DEGREE, CONF_DATAPOINTS]
}
data[CONF_POLYNOMIAL] = np.poly1d(coefficients)
if data[CONF_LOWER_LIMIT]:
data[CONF_MINIMUM] = sorted_coefficients[0]
else:
data[CONF_MINIMUM] = None
if data[CONF_UPPER_LIMIT]:
data[CONF_MAXIMUM] = sorted_coefficients[-1]
else:
data[CONF_MAXIMUM] = None
hass.data[DATA_COMPENSATION][compensation] = data
hass.async_create_task(
async_load_platform(
hass,
SENSOR_DOMAIN,
DOMAIN,
{CONF_COMPENSATION: compensation},
config,
)
await create_compensation_data(hass, compensation, conf)
hass.async_create_task(
async_load_platform(
hass,
SENSOR_DOMAIN,
DOMAIN,
{CONF_COMPENSATION: compensation},
config,
)
)
return True
async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
"""Set up Compensation from a config entry."""
config = dict(entry.options)
data_points = config[CONF_DATAPOINTS]
new_data_points = []
for data_point in data_points:
values = data_point.split(",", maxsplit=1)
new_data_points.append([float(values[0]), float(values[1])])
config[CONF_DATAPOINTS] = new_data_points
await create_compensation_data(hass, entry.entry_id, config, True)
await hass.config_entries.async_forward_entry_setups(entry, PLATFORMS)
entry.async_on_unload(entry.add_update_listener(update_listener))
return True
async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
"""Unload Compensation config entry."""
return await hass.config_entries.async_unload_platforms(entry, PLATFORMS)
async def update_listener(hass: HomeAssistant, entry: ConfigEntry) -> None:
"""Handle options update."""
await hass.config_entries.async_reload(entry.entry_id)

View File

@@ -0,0 +1,147 @@
"""Config flow for statistics."""
from __future__ import annotations
from collections.abc import Mapping
from typing import Any, cast
import voluptuous as vol
from homeassistant.const import (
CONF_ATTRIBUTE,
CONF_ENTITY_ID,
CONF_NAME,
CONF_UNIT_OF_MEASUREMENT,
)
from homeassistant.helpers.schema_config_entry_flow import (
SchemaCommonFlowHandler,
SchemaConfigFlowHandler,
SchemaFlowError,
SchemaFlowFormStep,
)
from homeassistant.helpers.selector import (
AttributeSelector,
AttributeSelectorConfig,
BooleanSelector,
EntitySelector,
NumberSelector,
NumberSelectorConfig,
NumberSelectorMode,
SelectSelector,
SelectSelectorConfig,
SelectSelectorMode,
TextSelector,
)
from .const import (
CONF_DATAPOINTS,
CONF_DEGREE,
CONF_LOWER_LIMIT,
CONF_PRECISION,
CONF_UPPER_LIMIT,
DEFAULT_DEGREE,
DEFAULT_NAME,
DEFAULT_PRECISION,
DOMAIN,
)
async def get_options_schema(handler: SchemaCommonFlowHandler) -> vol.Schema:
"""Get options schema."""
entity_id = handler.options[CONF_ENTITY_ID]
return vol.Schema(
{
vol.Required(CONF_DATAPOINTS): SelectSelector(
SelectSelectorConfig(
options=[],
multiple=True,
custom_value=True,
mode=SelectSelectorMode.DROPDOWN,
)
),
vol.Optional(CONF_ATTRIBUTE): AttributeSelector(
AttributeSelectorConfig(entity_id=entity_id)
),
vol.Optional(CONF_UPPER_LIMIT, default=False): BooleanSelector(),
vol.Optional(CONF_LOWER_LIMIT, default=False): BooleanSelector(),
vol.Optional(CONF_PRECISION, default=DEFAULT_PRECISION): NumberSelector(
NumberSelectorConfig(min=0, step=1, mode=NumberSelectorMode.BOX)
),
vol.Optional(CONF_DEGREE, default=DEFAULT_DEGREE): NumberSelector(
NumberSelectorConfig(min=0, max=7, step=1, mode=NumberSelectorMode.BOX)
),
vol.Optional(CONF_UNIT_OF_MEASUREMENT): TextSelector(),
}
)
def _is_valid_data_points(check_data_points: list[str]) -> bool:
"""Validate data points."""
result = False
for data_point in check_data_points:
if not data_point.find(",") > 0:
return False
values = data_point.split(",", maxsplit=1)
for value in values:
try:
float(value)
except ValueError:
return False
result = True
return result
async def validate_options(
handler: SchemaCommonFlowHandler, user_input: dict[str, Any]
) -> dict[str, Any]:
"""Validate options selected."""
user_input[CONF_PRECISION] = int(user_input[CONF_PRECISION])
user_input[CONF_DEGREE] = int(user_input[CONF_DEGREE])
if not _is_valid_data_points(user_input[CONF_DATAPOINTS]):
raise SchemaFlowError("incorrect_datapoints")
if len(user_input[CONF_DATAPOINTS]) <= user_input[CONF_DEGREE]:
raise SchemaFlowError("not_enough_datapoints")
handler.parent_handler._async_abort_entries_match({**handler.options, **user_input}) # noqa: SLF001
return user_input
DATA_SCHEMA_SETUP = vol.Schema(
{
vol.Required(CONF_NAME, default=DEFAULT_NAME): TextSelector(),
vol.Required(CONF_ENTITY_ID): EntitySelector(),
}
)
CONFIG_FLOW = {
"user": SchemaFlowFormStep(
schema=DATA_SCHEMA_SETUP,
next_step="options",
),
"options": SchemaFlowFormStep(
schema=get_options_schema,
validate_user_input=validate_options,
),
}
OPTIONS_FLOW = {
"init": SchemaFlowFormStep(
get_options_schema,
validate_user_input=validate_options,
),
}
class CompensationConfigFlowHandler(SchemaConfigFlowHandler, domain=DOMAIN):
"""Handle a config flow for Compensation."""
config_flow = CONFIG_FLOW
options_flow = OPTIONS_FLOW
def async_config_entry_title(self, options: Mapping[str, Any]) -> str:
"""Return config entry title."""
return cast(str, options[CONF_NAME])

View File

@@ -1,6 +1,9 @@
"""Compensation constants."""
from homeassistant.const import Platform
DOMAIN = "compensation"
PLATFORMS = [Platform.SENSOR]
SENSOR = "compensation"

View File

@@ -2,7 +2,9 @@
"domain": "compensation",
"name": "Compensation",
"codeowners": ["@Petro31"],
"config_flow": true,
"documentation": "https://www.home-assistant.io/integrations/compensation",
"integration_type": "helper",
"iot_class": "calculated",
"quality_scale": "legacy",
"requirements": ["numpy==2.3.0"]

View File

@@ -8,9 +8,11 @@ from typing import Any
import numpy as np
from homeassistant.components.sensor import SensorEntity
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import (
ATTR_UNIT_OF_MEASUREMENT,
CONF_ATTRIBUTE,
CONF_ENTITY_ID,
CONF_MAXIMUM,
CONF_MINIMUM,
CONF_SOURCE,
@@ -80,6 +82,36 @@ async def async_setup_platform(
)
async def async_setup_entry(
hass: HomeAssistant,
entry: ConfigEntry,
async_add_entities: AddEntitiesCallback,
) -> None:
"""Set up the Compensation sensor entry."""
compensation = entry.entry_id
conf: dict[str, Any] = hass.data[DATA_COMPENSATION][compensation]
source: str = conf[CONF_ENTITY_ID]
attribute: str | None = conf.get(CONF_ATTRIBUTE)
name = entry.title
async_add_entities(
[
CompensationSensor(
entry.entry_id,
name,
source,
attribute,
conf[CONF_PRECISION],
conf[CONF_POLYNOMIAL],
conf.get(CONF_UNIT_OF_MEASUREMENT),
conf[CONF_MINIMUM],
conf[CONF_MAXIMUM],
)
]
)
class CompensationSensor(SensorEntity):
"""Representation of a Compensation sensor."""

View File

@@ -0,0 +1,82 @@
{
"config": {
"abort": {
"already_configured": "[%key:common::config_flow::abort::already_configured_device%]"
},
"error": {
"incorrect_datapoints": "Datapoints needs to be provided in the right format, ex. '1.0, 0.0'.",
"not_enough_datapoints": "The number of datapoints needs to be more than the configured degree."
},
"step": {
"user": {
"description": "Add a compensation sensor",
"data": {
"name": "[%key:common::config_flow::data::name%]",
"entity_id": "Entity"
},
"data_description": {
"name": "Name for the created entity.",
"entity_id": "Entity to use as source."
}
},
"options": {
"description": "Read the documention for further details on how to configure the statistics sensor using these options.",
"data": {
"data_points": "Data points",
"attribute": "Attribute",
"upper_limit": "Upper limit",
"lower_limit": "Lower limit",
"precision": "Precision",
"degree": "Degree",
"unit_of_measurement": "Unit of measurement"
},
"data_description": {
"data_points": "The collection of data point conversions with the format 'uncompensated_value, compensated_value', ex. '1.0, 0.0'",
"attribute": "Attribute from the source to monitor/compensate.",
"upper_limit": "Enables an upper limit for the sensor. The upper limit is defined by the data collections (data_points) greatest uncompensated value.",
"lower_limit": "Enables a lower limit for the sensor. The lower limit is defined by the data collections (data_points) lowest uncompensated value.",
"precision": "Defines the precision of the calculated values, through the argument of round().",
"degree": "The degree of a polynomial.",
"unit_of_measurement": "Defines the units of measurement of the sensor, if any."
}
}
}
},
"options": {
"abort": {
"already_configured": "[%key:common::config_flow::abort::already_configured_account%]"
},
"error": {
"incorrect_datapoints": "[%key:component::compensation::config::error::incorrect_datapoints%]",
"not_enough_datapoints": "[%key:component::compensation::config::error::not_enough_datapoints%]"
},
"step": {
"init": {
"description": "[%key:component::compensation::config::step::options::description%]",
"data": {
"data_points": "[%key:component::compensation::config::step::options::data::data_points%]",
"attribute": "[%key:component::compensation::config::step::options::data::attribute%]",
"upper_limit": "[%key:component::compensation::config::step::options::data::upper_limit%]",
"lower_limit": "[%key:component::compensation::config::step::options::data::lower_limit%]",
"precision": "[%key:component::compensation::config::step::options::data::precision%]",
"degree": "[%key:component::compensation::config::step::options::data::degree%]",
"unit_of_measurement": "[%key:component::compensation::config::step::options::data::unit_of_measurement%]"
},
"data_description": {
"data_points": "[%key:component::compensation::config::step::options::data_description::data_points%]",
"attribute": "[%key:component::compensation::config::step::options::data_description::attribute%]",
"upper_limit": "[%key:component::compensation::config::step::options::data_description::upper_limit%]",
"lower_limit": "[%key:component::compensation::config::step::options::data_description::lower_limit%]",
"precision": "[%key:component::compensation::config::step::options::data_description::precision%]",
"degree": "[%key:component::compensation::config::step::options::data_description::degree%]",
"unit_of_measurement": "[%key:component::compensation::config::step::options::data_description::unit_of_measurement%]"
}
}
}
},
"exceptions": {
"setup_error": {
"message": "Setup of {title} could not be setup due to {error}"
}
}
}

View File

@@ -5,6 +5,7 @@ To update, run python3 -m script.hassfest
FLOWS = {
"helper": [
"compensation",
"derivative",
"filter",
"generic_hygrostat",

View File

@@ -1072,12 +1072,6 @@
"config_flow": false,
"iot_class": "local_polling"
},
"compensation": {
"name": "Compensation",
"integration_type": "hub",
"config_flow": false,
"iot_class": "calculated"
},
"concord232": {
"name": "Concord232",
"integration_type": "hub",
@@ -7733,6 +7727,12 @@
"config_flow": false,
"iot_class": "local_polling"
},
"compensation": {
"name": "Compensation",
"integration_type": "helper",
"config_flow": true,
"iot_class": "calculated"
},
"counter": {
"integration_type": "helper",
"config_flow": false

View File

@@ -0,0 +1,81 @@
"""Fixtures for the Compensation integration."""
from __future__ import annotations
from collections.abc import Generator
from typing import Any
from unittest.mock import AsyncMock, patch
import pytest
from homeassistant.components.compensation.const import (
CONF_DATAPOINTS,
CONF_DEGREE,
CONF_LOWER_LIMIT,
CONF_PRECISION,
CONF_UPPER_LIMIT,
DEFAULT_DEGREE,
DEFAULT_NAME,
DOMAIN,
)
from homeassistant.config_entries import SOURCE_USER
from homeassistant.const import CONF_ENTITY_ID, CONF_NAME, CONF_UNIT_OF_MEASUREMENT
from homeassistant.core import HomeAssistant
from tests.common import MockConfigEntry
@pytest.fixture
def mock_setup_entry() -> Generator[AsyncMock]:
"""Automatically patch compensation setup_entry."""
with patch(
"homeassistant.components.compensation.async_setup_entry",
return_value=True,
) as mock_setup_entry:
yield mock_setup_entry
@pytest.fixture(name="get_config")
async def get_config_to_integration_load() -> dict[str, Any]:
"""Return configuration.
To override the config, tests can be marked with:
@pytest.mark.parametrize("get_config", [{...}])
"""
return {
CONF_NAME: DEFAULT_NAME,
CONF_ENTITY_ID: "sensor.uncompensated",
CONF_DATAPOINTS: [
"1.0, 2.0",
"2.0, 3.0",
],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: DEFAULT_DEGREE,
CONF_UNIT_OF_MEASUREMENT: "mm",
}
@pytest.fixture(name="loaded_entry")
async def load_integration(
hass: HomeAssistant, get_config: dict[str, Any]
) -> MockConfigEntry:
"""Set up the Compensation integration in Home Assistant."""
config_entry = MockConfigEntry(
domain=DOMAIN,
title="Compensation sensor",
source=SOURCE_USER,
options=get_config,
entry_id="1",
)
config_entry.add_to_hass(hass)
entity_id = get_config[CONF_ENTITY_ID]
hass.states.async_set(entity_id, 4, {})
await hass.async_block_till_done()
await hass.config_entries.async_setup(config_entry.entry_id)
await hass.async_block_till_done()
return config_entry

View File

@@ -0,0 +1,266 @@
"""Test the Compensation config flow."""
from __future__ import annotations
from unittest.mock import AsyncMock
from homeassistant import config_entries
from homeassistant.components.compensation.const import (
CONF_DATAPOINTS,
CONF_DEGREE,
CONF_LOWER_LIMIT,
CONF_PRECISION,
CONF_UPPER_LIMIT,
DEFAULT_NAME,
DOMAIN,
)
from homeassistant.const import CONF_ENTITY_ID, CONF_NAME, CONF_UNIT_OF_MEASUREMENT
from homeassistant.core import HomeAssistant
from homeassistant.data_entry_flow import FlowResultType
from tests.common import MockConfigEntry
async def test_form(hass: HomeAssistant, mock_setup_entry: AsyncMock) -> None:
"""Test we get the form."""
result = await hass.config_entries.flow.async_init(
DOMAIN, context={"source": config_entries.SOURCE_USER}
)
assert result["step_id"] == "user"
assert result["type"] is FlowResultType.FORM
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
{
CONF_NAME: DEFAULT_NAME,
CONF_ENTITY_ID: "sensor.test_monitored",
},
)
await hass.async_block_till_done()
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
{
CONF_DATAPOINTS: [
"1.0, 2.0",
"2.0, 3.0",
],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 1,
CONF_UNIT_OF_MEASUREMENT: "mm",
},
)
await hass.async_block_till_done()
assert result["type"] is FlowResultType.CREATE_ENTRY
assert result["version"] == 1
assert result["options"] == {
CONF_NAME: DEFAULT_NAME,
CONF_ENTITY_ID: "sensor.test_monitored",
CONF_DATAPOINTS: [
"1.0, 2.0",
"2.0, 3.0",
],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 1,
CONF_UNIT_OF_MEASUREMENT: "mm",
}
assert len(mock_setup_entry.mock_calls) == 1
async def test_options_flow(hass: HomeAssistant, loaded_entry: MockConfigEntry) -> None:
"""Test options flow."""
result = await hass.config_entries.options.async_init(loaded_entry.entry_id)
assert result["type"] is FlowResultType.FORM
assert result["step_id"] == "init"
result = await hass.config_entries.options.async_configure(
result["flow_id"],
user_input={
CONF_DATAPOINTS: [
"1.0, 2.0",
"2.0, 3.0",
],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 1,
CONF_UNIT_OF_MEASUREMENT: "km",
},
)
await hass.async_block_till_done()
assert result["type"] is FlowResultType.CREATE_ENTRY
assert result["data"] == {
CONF_NAME: DEFAULT_NAME,
CONF_ENTITY_ID: "sensor.uncompensated",
CONF_DATAPOINTS: [
"1.0, 2.0",
"2.0, 3.0",
],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 1,
CONF_UNIT_OF_MEASUREMENT: "km",
}
await hass.async_block_till_done()
# Check the entity was updated, no new entity was created
assert len(hass.states.async_all()) == 2
state = hass.states.get("sensor.compensation_sensor")
assert state is not None
async def test_validation_options(
hass: HomeAssistant, mock_setup_entry: AsyncMock
) -> None:
"""Test validation."""
result = await hass.config_entries.flow.async_init(
DOMAIN, context={"source": config_entries.SOURCE_USER}
)
assert result["step_id"] == "user"
assert result["type"] is FlowResultType.FORM
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
{
CONF_NAME: DEFAULT_NAME,
CONF_ENTITY_ID: "sensor.test_monitored",
},
)
await hass.async_block_till_done()
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
{
CONF_DATAPOINTS: [
"1.0, 2.0",
"2.0, 3.0",
],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 2,
CONF_UNIT_OF_MEASUREMENT: "km",
},
)
await hass.async_block_till_done()
assert result["type"] is FlowResultType.FORM
assert result["errors"] == {"base": "not_enough_datapoints"}
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
{
CONF_DATAPOINTS: [
"1.0, 2.0",
"2.0 3.0",
],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 1,
CONF_UNIT_OF_MEASUREMENT: "km",
},
)
await hass.async_block_till_done()
assert result["type"] is FlowResultType.FORM
assert result["errors"] == {"base": "incorrect_datapoints"}
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
{
CONF_DATAPOINTS: [
"1.0, 2.0",
"2,0, 3.0",
],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 1,
CONF_UNIT_OF_MEASUREMENT: "km",
},
)
await hass.async_block_till_done()
assert result["type"] is FlowResultType.FORM
assert result["errors"] == {"base": "incorrect_datapoints"}
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
{
CONF_DATAPOINTS: ["1.0, 2.0", "2.0, 3.0", "3.0, 4.0"],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 2,
CONF_UNIT_OF_MEASUREMENT: "km",
},
)
await hass.async_block_till_done()
assert result["type"] is FlowResultType.CREATE_ENTRY
assert result["version"] == 1
assert result["options"] == {
CONF_NAME: DEFAULT_NAME,
CONF_ENTITY_ID: "sensor.test_monitored",
CONF_DATAPOINTS: ["1.0, 2.0", "2.0, 3.0", "3.0, 4.0"],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 2,
CONF_UNIT_OF_MEASUREMENT: "km",
}
assert len(mock_setup_entry.mock_calls) == 1
async def test_entry_already_exist(
hass: HomeAssistant, loaded_entry: MockConfigEntry
) -> None:
"""Test abort when entry already exist."""
result = await hass.config_entries.flow.async_init(
DOMAIN, context={"source": config_entries.SOURCE_USER}
)
assert result["step_id"] == "user"
assert result["type"] is FlowResultType.FORM
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
{
CONF_NAME: DEFAULT_NAME,
CONF_ENTITY_ID: "sensor.uncompensated",
},
)
await hass.async_block_till_done()
result = await hass.config_entries.flow.async_configure(
result["flow_id"],
{
CONF_DATAPOINTS: [
"1.0, 2.0",
"2.0, 3.0",
],
CONF_UPPER_LIMIT: False,
CONF_LOWER_LIMIT: False,
CONF_PRECISION: 2,
CONF_DEGREE: 1,
CONF_UNIT_OF_MEASUREMENT: "mm",
},
)
await hass.async_block_till_done()
assert result["type"] is FlowResultType.ABORT
assert result["reason"] == "already_configured"

View File

@@ -0,0 +1,44 @@
"""Test Statistics component setup process."""
from __future__ import annotations
from typing import Any
from unittest.mock import patch
from homeassistant.components.compensation.const import DOMAIN
from homeassistant.config_entries import SOURCE_USER, ConfigEntryState
from homeassistant.core import HomeAssistant
from tests.common import MockConfigEntry
async def test_unload_entry(hass: HomeAssistant, loaded_entry: MockConfigEntry) -> None:
"""Test unload an entry."""
assert loaded_entry.state is ConfigEntryState.LOADED
assert await hass.config_entries.async_unload(loaded_entry.entry_id)
await hass.async_block_till_done()
assert loaded_entry.state is ConfigEntryState.NOT_LOADED
async def test_could_not_setup(hass: HomeAssistant, get_config: dict[str, Any]) -> None:
"""Test exception."""
config_entry = MockConfigEntry(
domain=DOMAIN,
title="Compensation sensor",
source=SOURCE_USER,
options=get_config,
entry_id="1",
)
config_entry.add_to_hass(hass)
with patch(
"homeassistant.components.compensation.np.polyfit",
side_effect=FloatingPointError,
):
await hass.config_entries.async_setup(config_entry.entry_id)
await hass.async_block_till_done()
assert config_entry.state is ConfigEntryState.SETUP_ERROR
assert config_entry.error_reason_translation_key == "setup_error"

View File

@@ -1,5 +1,7 @@
"""The tests for the integration sensor platform."""
from typing import Any
import pytest
from homeassistant.components.compensation.const import CONF_PRECISION, DOMAIN
@@ -7,6 +9,8 @@ from homeassistant.components.compensation.sensor import ATTR_COEFFICIENTS
from homeassistant.components.sensor import DOMAIN as SENSOR_DOMAIN
from homeassistant.const import (
ATTR_UNIT_OF_MEASUREMENT,
CONF_ENTITY_ID,
CONF_PLATFORM,
EVENT_HOMEASSISTANT_START,
EVENT_STATE_CHANGED,
STATE_UNKNOWN,
@@ -14,6 +18,24 @@ from homeassistant.const import (
from homeassistant.core import HomeAssistant
from homeassistant.setup import async_setup_component
from tests.common import MockConfigEntry
async def test_not_loading_from_platform_yaml(hass: HomeAssistant) -> None:
"""Test compensation sensor not loaded from platform YAML."""
config = {
"sensor": [
{
CONF_PLATFORM: DOMAIN,
}
]
}
assert await async_setup_component(hass, SENSOR_DOMAIN, config)
await hass.async_block_till_done()
assert len(hass.states.async_all()) == 0
async def test_linear_state(hass: HomeAssistant) -> None:
"""Test compensation sensor state."""
@@ -60,6 +82,34 @@ async def test_linear_state(hass: HomeAssistant) -> None:
assert state.state == STATE_UNKNOWN
async def test_linear_state_from_config_entry(
hass: HomeAssistant, loaded_entry: MockConfigEntry, get_config: dict[str, Any]
) -> None:
"""Test compensation sensor state loaded from config entry."""
expected_entity_id = "sensor.compensation_sensor"
entity_id = get_config[CONF_ENTITY_ID]
hass.states.async_set(entity_id, 5, {})
await hass.async_block_till_done()
state = hass.states.get(expected_entity_id)
assert state is not None
assert round(float(state.state), get_config[CONF_PRECISION]) == 6.0
assert state.attributes.get(ATTR_UNIT_OF_MEASUREMENT) == "mm"
coefs = [round(v, 1) for v in state.attributes.get(ATTR_COEFFICIENTS)]
assert coefs == [1.0, 1.0]
hass.states.async_set(entity_id, "foo", {})
await hass.async_block_till_done()
state = hass.states.get(expected_entity_id)
assert state is not None
assert state.state == STATE_UNKNOWN
async def test_linear_state_from_attribute(hass: HomeAssistant) -> None:
"""Test compensation sensor state that pulls from attribute."""
config = {