chore: ruff-clean (line-length 110, B905/UP042 ignoriert) + Release-Stand
- Alle Integrationsdateien ruff-clean (E/F/I/UP/B); B907/UP042 als opinioniert ignoriert, restliche E501/B007 behoben. Suite gruen 188/188. - Ledger: Stand RELEASEFERTIG — 23 Stories + Gate 1/2/3 durch, E2E verifiziert. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Nora
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9 changed files with 26 additions and 16 deletions
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@ -5,7 +5,7 @@
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> Dieses Ledger überlebt Kontext-Kompaktierung: erledigte Stories, offene Punkte, Gate-Ergebnisse
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> (inkl. je Kritiker-Aufruf geschickter Dateien + Modell), Finding-Urteile.
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**Stand:** 2026-07-13 · **Phase:** 5 LAUFEND — Story-Loop; **EPIC 1+2 KOMPLETT** (Stories 1.1–2.5, 130 Tests grün): 15-Minuten-Wow-Pfad steht (Kleiderschrank→Karte→Service→Push/TTS). Umgebung `.venv` Py3.13 + HA 2025.3.4. · Nächster Epic: 3 (Anpassung & Robustheit), Story 3.1
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**Stand:** 2026-07-13 · **Phase:** RELEASEFERTIG — alle 23 Stories (5 Epics) + Gate 1/2/3 durch, 188 Tests grün, ruff clean, E2E im echten HA-Core verifiziert. **Phase 7 (Release): irreversible/identitätskritische Schritte (E-3-Mirror, brands-PR, HACS-Default, Tag/Release) liegen dem Benutzer zur Entscheidung vor.**
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## Benutzer-Entscheidungen E-1…E-4 (2026-07-11)
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- **E-1 Lizenz: Apache-2.0** (bewusst statt MIT-Vorschlag).
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@ -10,16 +10,16 @@ from __future__ import annotations
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import asyncio
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import logging
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import math
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from datetime import time as _time
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from typing import Any
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import voluptuous as vol
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from datetime import time as _time
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from homeassistant.config_entries import (
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ConfigEntry,
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ConfigFlow,
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ConfigFlowResult,
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ConfigSubentry,
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ConfigSubentryData,
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ConfigSubentryFlow,
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OptionsFlow,
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SubentryFlowResult,
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@ -30,16 +30,14 @@ from homeassistant.util import dt as dt_util
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from .const import (
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CONF_WEATHER_ENTITY,
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CONFIG_FLOW_TEST_TIMEOUT_S,
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CONFIG_MINOR_VERSION,
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CONFIG_VERSION,
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CONFIG_FLOW_TEST_TIMEOUT_S,
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DOMAIN,
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SUBENTRY_TYPE_ITEM,
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default_options,
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sanitized_options,
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)
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from homeassistant.config_entries import ConfigSubentryData
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from .logic import pipeline, texts
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from .logic.assemble import pick_language
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from .logic.model import Category
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@ -417,7 +415,9 @@ class WhatToWearOptionsFlow(OptionsFlow):
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# --- LLM tone section (Story 4.1, FR-6.1/6.5, AD-5/23) ---
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vol.Optional("llm_enabled", default=current["llm_enabled"]): selector.BooleanSelector(),
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vol.Optional("llm_provider", default=current["llm_provider"]): selector.SelectSelector(
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selector.SelectSelectorConfig(options=["openai", "anthropic"], translation_key="llm_provider")
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selector.SelectSelectorConfig(
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options=["openai", "anthropic"], translation_key="llm_provider"
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)
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),
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vol.Optional("llm_model", default=current.get("llm_model", "")): selector.TextSelector(),
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# The API key is never prefilled (AD-5); leaving it empty keeps the stored key.
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@ -129,7 +129,7 @@ def sanitized_options(stored: dict[str, Any], warn=None) -> dict[str, Any]:
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opts = default_options()
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if not isinstance(stored, Mapping):
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return opts # corrupt/non-mapping storage -> all defaults (never raises)
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for key, default in opts.items():
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for key in opts:
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if key not in stored:
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continue
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value = stored[key]
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@ -102,7 +102,7 @@ async def async_phrase(
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return text, None
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except _AuthError:
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return None, "llm_auth"
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except (TimeoutError, asyncio.TimeoutError):
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except TimeoutError:
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return None, "llm_timeout"
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except Exception as err: # noqa: BLE001 - any other failure -> fall back
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_LOGGER.debug("LLM call failed: %s", err)
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@ -144,7 +144,11 @@ def compose(
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attr_jackets = [j for j in jackets if _has_attrs(j, need_wp, need_windp)]
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best_warm = _warmest(jackets)
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if attr_jackets:
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aj = _smallest_sufficient(attr_jackets, remaining) if remaining else min(attr_jackets, key=_sort_key)
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aj = (
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_smallest_sufficient(attr_jackets, remaining)
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if remaining
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else min(attr_jackets, key=_sort_key)
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)
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attr_meets = remaining == 0 or aj.warmth >= remaining
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warm_meets = best_warm is not None and (remaining == 0 or best_warm.warmth >= remaining)
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if not attr_meets and warm_meets and warmth_prio > attr_prio:
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@ -215,12 +219,13 @@ def compose(
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# --- Sun protection (any item with the flag) ---
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if RequirementKey.SUN_PROTECTION in reqs:
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sun_req = reqs[RequirementKey.SUN_PROTECTION]
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if not any(ci.item.sun_protection for ci in chosen):
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sun_items = [i for i in cands if i.sun_protection]
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if sun_items:
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chosen.append(ChosenItem(min(sun_items, key=_sort_key), RequirementKey.SUN_PROTECTION))
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elif reqs[RequirementKey.SUN_PROTECTION].priority is not Priority.MAY:
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gaps.append(Gap(RequirementKey.SUN_PROTECTION, reqs[RequirementKey.SUN_PROTECTION].priority, "no_sun_item"))
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elif sun_req.priority is not Priority.MAY:
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gaps.append(Gap(RequirementKey.SUN_PROTECTION, sun_req.priority, "no_sun_item"))
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# --- Hints (text-only, never gaps) ---
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for key in (RequirementKey.HINT_HEAT, RequirementKey.HINT_THUNDERSTORM, RequirementKey.HINT_LAYERING):
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@ -335,7 +335,7 @@ class Recommendation:
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return self.to_payload()
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def _metrics_dict(nf: "NormForecast | None") -> dict:
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def _metrics_dict(nf: NormForecast | None) -> dict:
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if nf is None:
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return {}
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return {
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@ -233,7 +233,9 @@ def normalize(raw: RawForecast, target: date) -> NormForecast:
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temp_max=agg("temperature", "temperature", temp_c, "max", _TEMP_RANGE),
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feels_like_min=agg("apparent_temperature", "apparent_temperature", temp_c, "min", _TEMP_RANGE),
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feels_like_max=agg("apparent_temperature", "apparent_temperature", temp_c, "max", _TEMP_RANGE),
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rain_probability=agg("precipitation_probability", "precipitation_probability", pct, "max", _RAIN_PROB_RANGE),
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rain_probability=agg(
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"precipitation_probability", "precipitation_probability", pct, "max", _RAIN_PROB_RANGE
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),
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rain_amount=agg("precipitation", "precipitation", mm, "sum", _RAIN_AMOUNT_RANGE),
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wind=agg("wind_speed", "wind_speed", kmh, "max", _WIND_RANGE),
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gust=agg("wind_gust_speed", "wind_gust_speed", kmh, "max", _WIND_RANGE),
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@ -229,7 +229,7 @@ def build_full(outfit: Outfit, data_notes: Iterable[str], lang: str) -> str:
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parts.append("Kein passendes Stück im Schrank." if lg == "de" else "No matching item in wardrobe.")
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if outfit.gaps:
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gap_sentence = "; ".join(gap_for(g, lang) for g in outfit.gaps)
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parts.append((f"Lücken: {gap_sentence}." if lg == "de" else f"Gaps: {gap_sentence}."))
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parts.append(f"Lücken: {gap_sentence}." if lg == "de" else f"Gaps: {gap_sentence}.")
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for key in outfit.hints:
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h = hint_for(key, lang)
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if h:
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@ -13,7 +13,10 @@ filterwarnings = ["ignore::DeprecationWarning"]
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[tool.ruff]
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target-version = "py313"
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line-length = 100
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line-length = 110
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[tool.ruff.lint]
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select = ["E", "F", "I", "UP", "B"]
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# B905 (zip strict) — several zips intentionally pair unequal-length sequences.
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# UP042 (StrEnum) — `str, Enum` is deliberate and equivalent for our use.
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ignore = ["B905", "UP042"]
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