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Rewrite bayesian unittest tests to pytest style test functions. (#41740)
This commit is contained in:
thaohtp
GitHub
parent
6f113e981b
commit
aabf26bbc8
@ -1,7 +1,6 @@
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"""The test for the bayesian sensor platform."""
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import json
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from os import path
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import unittest
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from homeassistant import config as hass_config
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from homeassistant.components.bayesian import DOMAIN, binary_sensor as bayesian
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@ -17,491 +16,488 @@ from homeassistant.const import (
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STATE_UNKNOWN,
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)
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from homeassistant.core import Context, callback
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from homeassistant.setup import async_setup_component, setup_component
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from homeassistant.setup import async_setup_component
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from tests.async_mock import patch
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from tests.common import get_test_home_assistant
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class TestBayesianBinarySensor(unittest.TestCase):
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"""Test the threshold sensor."""
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async def test_load_values_when_added_to_hass(hass):
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"""Test that sensor initializes with observations of relevant entities."""
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def setup_method(self, method):
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"""Set up things to be run when tests are started."""
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self.hass = get_test_home_assistant()
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def teardown_method(self, method):
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"""Stop everything that was started."""
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self.hass.stop()
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def test_load_values_when_added_to_hass(self):
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"""Test that sensor initializes with observations of relevant entities."""
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config = {
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"binary_sensor": {
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"name": "Test_Binary",
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"platform": "bayesian",
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"observations": [
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{
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"platform": "state",
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"entity_id": "sensor.test_monitored",
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"to_state": "off",
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"prob_given_true": 0.8,
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"prob_given_false": 0.4,
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}
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],
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"prior": 0.2,
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"probability_threshold": 0.32,
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}
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config = {
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"binary_sensor": {
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"name": "Test_Binary",
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"platform": "bayesian",
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"observations": [
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{
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"platform": "state",
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"entity_id": "sensor.test_monitored",
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"to_state": "off",
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"prob_given_true": 0.8,
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"prob_given_false": 0.4,
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}
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],
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"prior": 0.2,
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"probability_threshold": 0.32,
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}
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}
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self.hass.states.set("sensor.test_monitored", "off")
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self.hass.block_till_done()
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hass.states.async_set("sensor.test_monitored", "off")
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await hass.async_block_till_done()
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assert setup_component(self.hass, "binary_sensor", config)
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self.hass.block_till_done()
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assert await async_setup_component(hass, "binary_sensor", config)
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await hass.async_block_till_done()
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state = self.hass.states.get("binary_sensor.test_binary")
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assert state.attributes.get("observations")[0]["prob_given_true"] == 0.8
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assert state.attributes.get("observations")[0]["prob_given_false"] == 0.4
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state = hass.states.get("binary_sensor.test_binary")
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assert state.attributes.get("observations")[0]["prob_given_true"] == 0.8
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assert state.attributes.get("observations")[0]["prob_given_false"] == 0.4
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def test_unknown_state_does_not_influence_probability(self):
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"""Test that an unknown state does not change the output probability."""
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config = {
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"binary_sensor": {
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"name": "Test_Binary",
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"platform": "bayesian",
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"observations": [
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{
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"platform": "state",
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"entity_id": "sensor.test_monitored",
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"to_state": "off",
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"prob_given_true": 0.8,
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"prob_given_false": 0.4,
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}
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],
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"prior": 0.2,
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"probability_threshold": 0.32,
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}
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async def test_unknown_state_does_not_influence_probability(hass):
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"""Test that an unknown state does not change the output probability."""
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config = {
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"binary_sensor": {
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"name": "Test_Binary",
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"platform": "bayesian",
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"observations": [
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{
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"platform": "state",
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"entity_id": "sensor.test_monitored",
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"to_state": "off",
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"prob_given_true": 0.8,
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"prob_given_false": 0.4,
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}
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],
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"prior": 0.2,
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"probability_threshold": 0.32,
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}
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}
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self.hass.states.set("sensor.test_monitored", STATE_UNKNOWN)
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self.hass.block_till_done()
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hass.states.async_set("sensor.test_monitored", STATE_UNKNOWN)
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await hass.async_block_till_done()
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assert setup_component(self.hass, "binary_sensor", config)
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self.hass.block_till_done()
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assert await async_setup_component(hass, "binary_sensor", config)
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await hass.async_block_till_done()
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state = self.hass.states.get("binary_sensor.test_binary")
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assert state.attributes.get("observations") == []
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state = hass.states.get("binary_sensor.test_binary")
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assert state.attributes.get("observations") == []
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def test_sensor_numeric_state(self):
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"""Test sensor on numeric state platform observations."""
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config = {
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"binary_sensor": {
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"platform": "bayesian",
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"name": "Test_Binary",
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"observations": [
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{
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"platform": "numeric_state",
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"entity_id": "sensor.test_monitored",
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"below": 10,
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"above": 5,
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"prob_given_true": 0.6,
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},
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{
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"platform": "numeric_state",
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"entity_id": "sensor.test_monitored1",
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"below": 7,
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"above": 5,
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"prob_given_true": 0.9,
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"prob_given_false": 0.1,
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},
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],
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"prior": 0.2,
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}
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async def test_sensor_numeric_state(hass):
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"""Test sensor on numeric state platform observations."""
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config = {
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"binary_sensor": {
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"platform": "bayesian",
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"name": "Test_Binary",
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"observations": [
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{
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"platform": "numeric_state",
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"entity_id": "sensor.test_monitored",
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"below": 10,
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"above": 5,
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"prob_given_true": 0.6,
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},
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{
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"platform": "numeric_state",
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"entity_id": "sensor.test_monitored1",
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"below": 7,
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"above": 5,
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"prob_given_true": 0.9,
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"prob_given_false": 0.1,
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},
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],
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"prior": 0.2,
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}
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}
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assert setup_component(self.hass, "binary_sensor", config)
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self.hass.block_till_done()
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assert await async_setup_component(hass, "binary_sensor", config)
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await hass.async_block_till_done()
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self.hass.states.set("sensor.test_monitored", 4)
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self.hass.block_till_done()
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hass.states.async_set("sensor.test_monitored", 4)
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await hass.async_block_till_done()
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state = self.hass.states.get("binary_sensor.test_binary")
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state = hass.states.get("binary_sensor.test_binary")
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assert [] == state.attributes.get("observations")
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assert 0.2 == state.attributes.get("probability")
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assert [] == state.attributes.get("observations")
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assert 0.2 == state.attributes.get("probability")
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assert state.state == "off"
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assert state.state == "off"
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self.hass.states.set("sensor.test_monitored", 6)
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self.hass.block_till_done()
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self.hass.states.set("sensor.test_monitored", 4)
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self.hass.block_till_done()
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self.hass.states.set("sensor.test_monitored", 6)
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self.hass.states.set("sensor.test_monitored1", 6)
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self.hass.block_till_done()
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hass.states.async_set("sensor.test_monitored", 6)
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await hass.async_block_till_done()
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hass.states.async_set("sensor.test_monitored", 4)
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await hass.async_block_till_done()
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hass.states.async_set("sensor.test_monitored", 6)
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hass.states.async_set("sensor.test_monitored1", 6)
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await hass.async_block_till_done()
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state = self.hass.states.get("binary_sensor.test_binary")
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assert state.attributes.get("observations")[0]["prob_given_true"] == 0.6
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assert state.attributes.get("observations")[1]["prob_given_true"] == 0.9
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assert state.attributes.get("observations")[1]["prob_given_false"] == 0.1
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assert round(abs(0.77 - state.attributes.get("probability")), 7) == 0
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state = hass.states.get("binary_sensor.test_binary")
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assert state.attributes.get("observations")[0]["prob_given_true"] == 0.6
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assert state.attributes.get("observations")[1]["prob_given_true"] == 0.9
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assert state.attributes.get("observations")[1]["prob_given_false"] == 0.1
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assert round(abs(0.77 - state.attributes.get("probability")), 7) == 0
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assert state.state == "on"
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assert state.state == "on"
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self.hass.states.set("sensor.test_monitored", 6)
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self.hass.states.set("sensor.test_monitored1", 0)
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self.hass.block_till_done()
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self.hass.states.set("sensor.test_monitored", 4)
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self.hass.block_till_done()
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hass.states.async_set("sensor.test_monitored", 6)
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hass.states.async_set("sensor.test_monitored1", 0)
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await hass.async_block_till_done()
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hass.states.async_set("sensor.test_monitored", 4)
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await hass.async_block_till_done()
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state = self.hass.states.get("binary_sensor.test_binary")
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assert 0.2 == state.attributes.get("probability")
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state = hass.states.get("binary_sensor.test_binary")
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assert 0.2 == state.attributes.get("probability")
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assert state.state == "off"
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assert state.state == "off"
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self.hass.states.set("sensor.test_monitored", 15)
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self.hass.block_till_done()
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hass.states.async_set("sensor.test_monitored", 15)
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await hass.async_block_till_done()
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state = self.hass.states.get("binary_sensor.test_binary")
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state = hass.states.get("binary_sensor.test_binary")
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assert state.state == "off"
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assert state.state == "off"
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def test_sensor_state(self):
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"""Test sensor on state platform observations."""
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config = {
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"binary_sensor": {
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"name": "Test_Binary",
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"platform": "bayesian",
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"observations": [
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{
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"platform": "state",
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"entity_id": "sensor.test_monitored",
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"to_state": "off",
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"prob_given_true": 0.8,
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"prob_given_false": 0.4,
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}
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],
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"prior": 0.2,
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"probability_threshold": 0.32,
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}
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async def test_sensor_state(hass):
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"""Test sensor on state platform observations."""
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config = {
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"binary_sensor": {
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"name": "Test_Binary",
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"platform": "bayesian",
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"observations": [
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{
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"platform": "state",
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"entity_id": "sensor.test_monitored",
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"to_state": "off",
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"prob_given_true": 0.8,
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"prob_given_false": 0.4,
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}
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],
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"prior": 0.2,
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"probability_threshold": 0.32,
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}
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}
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assert setup_component(self.hass, "binary_sensor", config)
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self.hass.block_till_done()
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assert await async_setup_component(hass, "binary_sensor", config)
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await hass.async_block_till_done()
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self.hass.states.set("sensor.test_monitored", "on")
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hass.states.async_set("sensor.test_monitored", "on")
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state = self.hass.states.get("binary_sensor.test_binary")
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state = hass.states.get("binary_sensor.test_binary")
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assert [] == state.attributes.get("observations")
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assert 0.2 == state.attributes.get("probability")
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assert [] == state.attributes.get("observations")
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assert 0.2 == state.attributes.get("probability")
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assert state.state == "off"
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assert state.state == "off"
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self.hass.states.set("sensor.test_monitored", "off")
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self.hass.block_till_done()
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self.hass.states.set("sensor.test_monitored", "on")
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self.hass.block_till_done()
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self.hass.states.set("sensor.test_monitored", "off")
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self.hass.block_till_done()
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hass.states.async_set("sensor.test_monitored", "off")
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await hass.async_block_till_done()
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hass.states.async_set("sensor.test_monitored", "on")
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await hass.async_block_till_done()
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hass.states.async_set("sensor.test_monitored", "off")
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await hass.async_block_till_done()
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state = self.hass.states.get("binary_sensor.test_binary")
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assert state.attributes.get("observations")[0]["prob_given_true"] == 0.8
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assert state.attributes.get("observations")[0]["prob_given_false"] == 0.4
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assert round(abs(0.33 - state.attributes.get("probability")), 7) == 0
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state = hass.states.get("binary_sensor.test_binary")
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assert state.attributes.get("observations")[0]["prob_given_true"] == 0.8
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assert state.attributes.get("observations")[0]["prob_given_false"] == 0.4
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assert round(abs(0.33 - state.attributes.get("probability")), 7) == 0
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assert state.state == "on"
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assert state.state == "on"
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self.hass.states.set("sensor.test_monitored", "off")
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self.hass.block_till_done()
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self.hass.states.set("sensor.test_monitored", "on")
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self.hass.block_till_done()
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hass.states.async_set("sensor.test_monitored", "off")
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await hass.async_block_till_done()
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hass.states.async_set("sensor.test_monitored", "on")
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await hass.async_block_till_done()
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state = self.hass.states.get("binary_sensor.test_binary")
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assert round(abs(0.2 - state.attributes.get("probability")), 7) == 0
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state = hass.states.get("binary_sensor.test_binary")
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assert round(abs(0.2 - state.attributes.get("probability")), 7) == 0
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assert state.state == "off"
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assert state.state == "off"
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def test_sensor_value_template(self):
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"""Test sensor on template platform observations."""
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config = {
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"binary_sensor": {
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"name": "Test_Binary",
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"platform": "bayesian",
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"observations": [
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{
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"platform": "template",
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"value_template": "{{states('sensor.test_monitored') == 'off'}}",
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"prob_given_true": 0.8,
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"prob_given_false": 0.4,
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}
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],
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"prior": 0.2,
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"probability_threshold": 0.32,
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}
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async def test_sensor_value_template(hass):
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"""Test sensor on template platform observations."""
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config = {
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"binary_sensor": {
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"name": "Test_Binary",
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"platform": "bayesian",
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"observations": [
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{
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"platform": "template",
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"value_template": "{{states('sensor.test_monitored') == 'off'}}",
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"prob_given_true": 0.8,
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"prob_given_false": 0.4,
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}
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],
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"prior": 0.2,
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"probability_threshold": 0.32,
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}
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}
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assert setup_component(self.hass, "binary_sensor", config)
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self.hass.block_till_done()
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assert await async_setup_component(hass, "binary_sensor", config)
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await hass.async_block_till_done()
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self.hass.states.set("sensor.test_monitored", "on")
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hass.states.async_set("sensor.test_monitored", "on")
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state = self.hass.states.get("binary_sensor.test_binary")
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state = hass.states.get("binary_sensor.test_binary")
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assert [] == state.attributes.get("observations")
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assert 0.2 == state.attributes.get("probability")
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assert [] == state.attributes.get("observations")
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assert 0.2 == state.attributes.get("probability")
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assert state.state == "off"
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assert state.state == "off"
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self.hass.states.set("sensor.test_monitored", "off")
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self.hass.block_till_done()
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self.hass.states.set("sensor.test_monitored", "on")
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self.hass.block_till_done()
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self.hass.states.set("sensor.test_monitored", "off")
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self.hass.block_till_done()
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hass.states.async_set("sensor.test_monitored", "off")
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await hass.async_block_till_done()
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hass.states.async_set("sensor.test_monitored", "on")
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await hass.async_block_till_done()
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hass.states.async_set("sensor.test_monitored", "off")
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await hass.async_block_till_done()
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||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert state.attributes.get("observations")[0]["prob_given_true"] == 0.8
|
||||
assert state.attributes.get("observations")[0]["prob_given_false"] == 0.4
|
||||
assert round(abs(0.33 - state.attributes.get("probability")), 7) == 0
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert state.attributes.get("observations")[0]["prob_given_true"] == 0.8
|
||||
assert state.attributes.get("observations")[0]["prob_given_false"] == 0.4
|
||||
assert round(abs(0.33 - state.attributes.get("probability")), 7) == 0
|
||||
|
||||
assert state.state == "on"
|
||||
assert state.state == "on"
|
||||
|
||||
self.hass.states.set("sensor.test_monitored", "off")
|
||||
self.hass.block_till_done()
|
||||
self.hass.states.set("sensor.test_monitored", "on")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "off")
|
||||
await hass.async_block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "on")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert round(abs(0.2 - state.attributes.get("probability")), 7) == 0
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert round(abs(0.2 - state.attributes.get("probability")), 7) == 0
|
||||
|
||||
assert state.state == "off"
|
||||
assert state.state == "off"
|
||||
|
||||
def test_threshold(self):
|
||||
"""Test sensor on probability threshold limits."""
|
||||
config = {
|
||||
"binary_sensor": {
|
||||
"name": "Test_Binary",
|
||||
"platform": "bayesian",
|
||||
"observations": [
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "on",
|
||||
"prob_given_true": 1.0,
|
||||
}
|
||||
],
|
||||
"prior": 0.5,
|
||||
"probability_threshold": 1.0,
|
||||
}
|
||||
|
||||
async def test_threshold(hass):
|
||||
"""Test sensor on probability threshold limits."""
|
||||
config = {
|
||||
"binary_sensor": {
|
||||
"name": "Test_Binary",
|
||||
"platform": "bayesian",
|
||||
"observations": [
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "on",
|
||||
"prob_given_true": 1.0,
|
||||
}
|
||||
],
|
||||
"prior": 0.5,
|
||||
"probability_threshold": 1.0,
|
||||
}
|
||||
}
|
||||
|
||||
assert setup_component(self.hass, "binary_sensor", config)
|
||||
self.hass.block_till_done()
|
||||
assert await async_setup_component(hass, "binary_sensor", config)
|
||||
await hass.async_block_till_done()
|
||||
|
||||
self.hass.states.set("sensor.test_monitored", "on")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "on")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert round(abs(1.0 - state.attributes.get("probability")), 7) == 0
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert round(abs(1.0 - state.attributes.get("probability")), 7) == 0
|
||||
|
||||
assert state.state == "on"
|
||||
assert state.state == "on"
|
||||
|
||||
def test_multiple_observations(self):
|
||||
"""Test sensor with multiple observations of same entity."""
|
||||
config = {
|
||||
"binary_sensor": {
|
||||
"name": "Test_Binary",
|
||||
"platform": "bayesian",
|
||||
"observations": [
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "blue",
|
||||
"prob_given_true": 0.8,
|
||||
"prob_given_false": 0.4,
|
||||
},
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "red",
|
||||
"prob_given_true": 0.2,
|
||||
"prob_given_false": 0.4,
|
||||
},
|
||||
],
|
||||
"prior": 0.2,
|
||||
"probability_threshold": 0.32,
|
||||
}
|
||||
|
||||
async def test_multiple_observations(hass):
|
||||
"""Test sensor with multiple observations of same entity."""
|
||||
config = {
|
||||
"binary_sensor": {
|
||||
"name": "Test_Binary",
|
||||
"platform": "bayesian",
|
||||
"observations": [
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "blue",
|
||||
"prob_given_true": 0.8,
|
||||
"prob_given_false": 0.4,
|
||||
},
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "red",
|
||||
"prob_given_true": 0.2,
|
||||
"prob_given_false": 0.4,
|
||||
},
|
||||
],
|
||||
"prior": 0.2,
|
||||
"probability_threshold": 0.32,
|
||||
}
|
||||
}
|
||||
|
||||
assert setup_component(self.hass, "binary_sensor", config)
|
||||
self.hass.block_till_done()
|
||||
assert await async_setup_component(hass, "binary_sensor", config)
|
||||
await hass.async_block_till_done()
|
||||
|
||||
self.hass.states.set("sensor.test_monitored", "off")
|
||||
hass.states.async_set("sensor.test_monitored", "off")
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
|
||||
for key, attrs in state.attributes.items():
|
||||
json.dumps(attrs)
|
||||
assert [] == state.attributes.get("observations")
|
||||
assert 0.2 == state.attributes.get("probability")
|
||||
for key, attrs in state.attributes.items():
|
||||
json.dumps(attrs)
|
||||
assert [] == state.attributes.get("observations")
|
||||
assert 0.2 == state.attributes.get("probability")
|
||||
|
||||
assert state.state == "off"
|
||||
assert state.state == "off"
|
||||
|
||||
self.hass.states.set("sensor.test_monitored", "blue")
|
||||
self.hass.block_till_done()
|
||||
self.hass.states.set("sensor.test_monitored", "off")
|
||||
self.hass.block_till_done()
|
||||
self.hass.states.set("sensor.test_monitored", "blue")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "blue")
|
||||
await hass.async_block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "off")
|
||||
await hass.async_block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "blue")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
|
||||
assert state.attributes.get("observations")[0]["prob_given_true"] == 0.8
|
||||
assert state.attributes.get("observations")[0]["prob_given_false"] == 0.4
|
||||
assert round(abs(0.33 - state.attributes.get("probability")), 7) == 0
|
||||
assert state.attributes.get("observations")[0]["prob_given_true"] == 0.8
|
||||
assert state.attributes.get("observations")[0]["prob_given_false"] == 0.4
|
||||
assert round(abs(0.33 - state.attributes.get("probability")), 7) == 0
|
||||
|
||||
assert state.state == "on"
|
||||
assert state.state == "on"
|
||||
|
||||
self.hass.states.set("sensor.test_monitored", "blue")
|
||||
self.hass.block_till_done()
|
||||
self.hass.states.set("sensor.test_monitored", "red")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "blue")
|
||||
await hass.async_block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "red")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert round(abs(0.11 - state.attributes.get("probability")), 7) == 0
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert round(abs(0.11 - state.attributes.get("probability")), 7) == 0
|
||||
|
||||
assert state.state == "off"
|
||||
assert state.state == "off"
|
||||
|
||||
def test_probability_updates(self):
|
||||
"""Test probability update function."""
|
||||
prob_given_true = [0.3, 0.6, 0.8]
|
||||
prob_given_false = [0.7, 0.4, 0.2]
|
||||
prior = 0.5
|
||||
|
||||
for pt, pf in zip(prob_given_true, prob_given_false):
|
||||
prior = bayesian.update_probability(prior, pt, pf)
|
||||
async def test_probability_updates(hass):
|
||||
"""Test probability update function."""
|
||||
prob_given_true = [0.3, 0.6, 0.8]
|
||||
prob_given_false = [0.7, 0.4, 0.2]
|
||||
prior = 0.5
|
||||
|
||||
assert round(abs(0.720000 - prior), 7) == 0
|
||||
for pt, pf in zip(prob_given_true, prob_given_false):
|
||||
prior = bayesian.update_probability(prior, pt, pf)
|
||||
|
||||
prob_given_true = [0.8, 0.3, 0.9]
|
||||
prob_given_false = [0.6, 0.4, 0.2]
|
||||
prior = 0.7
|
||||
assert round(abs(0.720000 - prior), 7) == 0
|
||||
|
||||
for pt, pf in zip(prob_given_true, prob_given_false):
|
||||
prior = bayesian.update_probability(prior, pt, pf)
|
||||
prob_given_true = [0.8, 0.3, 0.9]
|
||||
prob_given_false = [0.6, 0.4, 0.2]
|
||||
prior = 0.7
|
||||
|
||||
assert round(abs(0.9130434782608695 - prior), 7) == 0
|
||||
for pt, pf in zip(prob_given_true, prob_given_false):
|
||||
prior = bayesian.update_probability(prior, pt, pf)
|
||||
|
||||
def test_observed_entities(self):
|
||||
"""Test sensor on observed entities."""
|
||||
config = {
|
||||
"binary_sensor": {
|
||||
"name": "Test_Binary",
|
||||
"platform": "bayesian",
|
||||
"observations": [
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "off",
|
||||
"prob_given_true": 0.9,
|
||||
"prob_given_false": 0.4,
|
||||
},
|
||||
{
|
||||
"platform": "template",
|
||||
"value_template": "{{is_state('sensor.test_monitored1','on') and is_state('sensor.test_monitored','off')}}",
|
||||
"prob_given_true": 0.9,
|
||||
},
|
||||
],
|
||||
"prior": 0.2,
|
||||
"probability_threshold": 0.32,
|
||||
}
|
||||
assert round(abs(0.9130434782608695 - prior), 7) == 0
|
||||
|
||||
|
||||
async def test_observed_entities(hass):
|
||||
"""Test sensor on observed entities."""
|
||||
config = {
|
||||
"binary_sensor": {
|
||||
"name": "Test_Binary",
|
||||
"platform": "bayesian",
|
||||
"observations": [
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "off",
|
||||
"prob_given_true": 0.9,
|
||||
"prob_given_false": 0.4,
|
||||
},
|
||||
{
|
||||
"platform": "template",
|
||||
"value_template": "{{is_state('sensor.test_monitored1','on') and is_state('sensor.test_monitored','off')}}",
|
||||
"prob_given_true": 0.9,
|
||||
},
|
||||
],
|
||||
"prior": 0.2,
|
||||
"probability_threshold": 0.32,
|
||||
}
|
||||
}
|
||||
|
||||
assert setup_component(self.hass, "binary_sensor", config)
|
||||
self.hass.block_till_done()
|
||||
assert await async_setup_component(hass, "binary_sensor", config)
|
||||
await hass.async_block_till_done()
|
||||
|
||||
self.hass.states.set("sensor.test_monitored", "on")
|
||||
self.hass.block_till_done()
|
||||
self.hass.states.set("sensor.test_monitored1", "off")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "on")
|
||||
await hass.async_block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored1", "off")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert [] == state.attributes.get("occurred_observation_entities")
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert [] == state.attributes.get("occurred_observation_entities")
|
||||
|
||||
self.hass.states.set("sensor.test_monitored", "off")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "off")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert ["sensor.test_monitored"] == state.attributes.get(
|
||||
"occurred_observation_entities"
|
||||
)
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert ["sensor.test_monitored"] == state.attributes.get(
|
||||
"occurred_observation_entities"
|
||||
)
|
||||
|
||||
self.hass.states.set("sensor.test_monitored1", "on")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored1", "on")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert ["sensor.test_monitored", "sensor.test_monitored1"] == sorted(
|
||||
state.attributes.get("occurred_observation_entities")
|
||||
)
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert ["sensor.test_monitored", "sensor.test_monitored1"] == sorted(
|
||||
state.attributes.get("occurred_observation_entities")
|
||||
)
|
||||
|
||||
def test_state_attributes_are_serializable(self):
|
||||
"""Test sensor on observed entities."""
|
||||
config = {
|
||||
"binary_sensor": {
|
||||
"name": "Test_Binary",
|
||||
"platform": "bayesian",
|
||||
"observations": [
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "off",
|
||||
"prob_given_true": 0.9,
|
||||
"prob_given_false": 0.4,
|
||||
},
|
||||
{
|
||||
"platform": "template",
|
||||
"value_template": "{{is_state('sensor.test_monitored1','on') and is_state('sensor.test_monitored','off')}}",
|
||||
"prob_given_true": 0.9,
|
||||
},
|
||||
],
|
||||
"prior": 0.2,
|
||||
"probability_threshold": 0.32,
|
||||
}
|
||||
|
||||
async def test_state_attributes_are_serializable(hass):
|
||||
"""Test sensor on observed entities."""
|
||||
config = {
|
||||
"binary_sensor": {
|
||||
"name": "Test_Binary",
|
||||
"platform": "bayesian",
|
||||
"observations": [
|
||||
{
|
||||
"platform": "state",
|
||||
"entity_id": "sensor.test_monitored",
|
||||
"to_state": "off",
|
||||
"prob_given_true": 0.9,
|
||||
"prob_given_false": 0.4,
|
||||
},
|
||||
{
|
||||
"platform": "template",
|
||||
"value_template": "{{is_state('sensor.test_monitored1','on') and is_state('sensor.test_monitored','off')}}",
|
||||
"prob_given_true": 0.9,
|
||||
},
|
||||
],
|
||||
"prior": 0.2,
|
||||
"probability_threshold": 0.32,
|
||||
}
|
||||
}
|
||||
|
||||
assert setup_component(self.hass, "binary_sensor", config)
|
||||
self.hass.block_till_done()
|
||||
assert await async_setup_component(hass, "binary_sensor", config)
|
||||
await hass.async_block_till_done()
|
||||
|
||||
self.hass.states.set("sensor.test_monitored", "on")
|
||||
self.hass.block_till_done()
|
||||
self.hass.states.set("sensor.test_monitored1", "off")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "on")
|
||||
await hass.async_block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored1", "off")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert [] == state.attributes.get("occurred_observation_entities")
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert [] == state.attributes.get("occurred_observation_entities")
|
||||
|
||||
self.hass.states.set("sensor.test_monitored", "off")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored", "off")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert ["sensor.test_monitored"] == state.attributes.get(
|
||||
"occurred_observation_entities"
|
||||
)
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert ["sensor.test_monitored"] == state.attributes.get(
|
||||
"occurred_observation_entities"
|
||||
)
|
||||
|
||||
self.hass.states.set("sensor.test_monitored1", "on")
|
||||
self.hass.block_till_done()
|
||||
hass.states.async_set("sensor.test_monitored1", "on")
|
||||
await hass.async_block_till_done()
|
||||
|
||||
state = self.hass.states.get("binary_sensor.test_binary")
|
||||
assert ["sensor.test_monitored", "sensor.test_monitored1"] == sorted(
|
||||
state.attributes.get("occurred_observation_entities")
|
||||
)
|
||||
state = hass.states.get("binary_sensor.test_binary")
|
||||
assert ["sensor.test_monitored", "sensor.test_monitored1"] == sorted(
|
||||
state.attributes.get("occurred_observation_entities")
|
||||
)
|
||||
|
||||
for key, attrs in state.attributes.items():
|
||||
json.dumps(attrs)
|
||||
for key, attrs in state.attributes.items():
|
||||
json.dumps(attrs)
|
||||
|
||||
|
||||
async def test_template_error(hass, caplog):
|
||||
|
||||
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Reference in New Issue
Block a user