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Feature 181 & 242 - improve auto window detection (#243)

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* Add ema calculation class, calculate an emo temperature, use the ema_temperature in auto_window dectection

* Removes circular dependency error

* Fix ema_temp unknown and remove slope smoothing

* 15 sec between two slope calculation

* Take Maia feedbacks on the algo.

* Maia comments: change MAX_ALPHA to 0.5, add slope calculation at each cycle.

* With EMA entity and slope calculation optimisations

* Change open_window_detection fake datapoint threshold

* Try auto window new algo

* Don't store datetime of fake datapoint

* Change auto window threshold in °/hour

---------

Co-authored-by: Jean-Marc Collin <jean-marc.collin-extern@renault.com>
This commit is contained in:
Jean-Marc Collin
2023-12-01 21:02:53 +01:00
committed by GitHub
parent e5076db96c
commit 23f9c7c52f
15 changed files with 569 additions and 161 deletions
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4
tests/test_auto_regulation.py
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@@ -363,12 +363,12 @@ async def test_over_climate_regulation_limitations(
"custom_components.versatile_thermostat.commons.NowClass.get_now",
return_value=event_timestamp,
):
await send_temperature_change_event(entity, 16, event_timestamp)
await send_temperature_change_event(entity, 15, event_timestamp)
await send_ext_temperature_change_event(entity, 12, event_timestamp)
# the regulated should have been done
assert entity.regulated_target_temp != old_regulated_temp
assert entity.regulated_target_temp >= entity.target_temperature
assert (
entity.regulated_target_temp == 17 + 0.5
entity.regulated_target_temp == 17 + 1.5
) # 0.7 without round_to_nearest