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feature/do
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| f4f23796d5 | |||
| 6540d62ff7 |
3
.env.example
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3
.env.example
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@@ -0,0 +1,3 @@
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# Home Assistant Zugriff
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SILLYHOME_HA_URL=http://localhost:8123
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SILLYHOME_HA_TOKEN=dein_long_lived_access_token
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31
README.md
31
README.md
@@ -12,3 +12,34 @@ TheSillyHome zeigte die Idee: statt statischer Regeln das Zuhause aus Verhaltens
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- Automationen vorschlagen und direkt generieren
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- Lokal-first ohne Cloudpflicht
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- Erweiterbar, testbar, dokumentiert
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## Quickstart (lokaler Betrieb)
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1. **Voraussetzungen**
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- Python 3.11+
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- Home Assistant mit REST-API erreichbar
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- `pip install -e .[dev]`
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2. **Umgebungsvariablen** (`.env` im Projektroot)
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```
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SILLYHOME_HA_URL=http://localhost:8123
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SILLYHOME_HA_TOKEN=dein_long_lived_access_token
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```
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Tipp: `.env.example` kopieren und anpassen. Tokens niemals committen!
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3. **Server starten**
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```
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uvicorn app.main:app --reload
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```
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4. **Prüfen**
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- OpenAPI-Docs: http://localhost:8000/docs
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- Health: http://localhost:8000/health
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- Entities: http://localhost:8000/v1/entities (benötigt gültige HA-Konfiguration)
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5. **Tests**
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```
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pytest -q
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ruff check .
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mypy app tests
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```
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1
app/rules/__init__.py
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1
app/rules/__init__.py
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@@ -0,0 +1 @@
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# sillyhome-next.rules
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15
app/rules/heating.py
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15
app/rules/heating.py
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@@ -0,0 +1,15 @@
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from __future__ import annotations
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from collections.abc import Sequence
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from app.ha.models import HaEntitySummary
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from app.rules.recommender import Rule
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class HeatingRule(Rule):
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def matches(self, entities: Sequence[HaEntitySummary]) -> bool:
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domains = {item.domain for item in entities}
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return "climate" in domains or "sensor" in domains
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def recommendation(self, entities: Sequence[HaEntitySummary]) -> str:
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return "Prüfe Heizungsregelung: Aktiviere energiesparenden Modus bei Abwesenheit."
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25
app/rules/recommender.py
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25
app/rules/recommender.py
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@@ -0,0 +1,25 @@
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from __future__ import annotations
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from collections.abc import Sequence
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from app.ha.models import HaEntitySummary
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class Rule:
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def matches(self, entities: Sequence[HaEntitySummary]) -> bool:
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raise NotImplementedError
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def recommendation(self, entities: Sequence[HaEntitySummary]) -> str:
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raise NotImplementedError
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class Recommender:
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def __init__(self, rules: Sequence[Rule]) -> None:
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self._rules = rules
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def run(self, entities: Sequence[HaEntitySummary]) -> list[str]:
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results: list[str] = []
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for rule in self._rules:
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if rule.matches(entities):
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results.append(rule.recommendation(entities))
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return results
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@@ -25,4 +25,4 @@ strict = true
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[tool.ruff]
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line-length = 100
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target-version = "py311"
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target-version = "py311"
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26
tests/rules/test_heating.py
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26
tests/rules/test_heating.py
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from __future__ import annotations
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from app.ha.models import HaEntitySummary
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from app.rules.heating import HeatingRule
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from app.rules.recommender import Recommender
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def _sensor(entity_id: str) -> HaEntitySummary:
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return HaEntitySummary(entity_id=entity_id, domain="sensor")
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def _climate(entity_id: str) -> HaEntitySummary:
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return HaEntitySummary(entity_id=entity_id, domain="climate")
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def test_heating_rule_triggers() -> None:
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rule = HeatingRule()
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assert rule.matches([_climate("climate.living_room")])
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assert rule.matches([_sensor("sensor.temperature_living")])
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def test_recommender_uses_rule() -> None:
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recommender = Recommender(rules=[HeatingRule()])
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assert recommender.run([_climate("climate.living_room")]) == [
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"Prüfe Heizungsregelung: Aktiviere energiesparenden Modus bei Abwesenheit."
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]
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