258 lines
11 KiB
Python
258 lines
11 KiB
Python
"""Adopt HA problem sensors as sensor-triggered maintenance tasks.
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Many integrations expose ``binary_sensor`` entities with
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``device_class: problem`` — printer errors, filter warnings, low-battery
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alerts. This turns a *selected* set of them into maintenance tasks that use the
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existing sensor-trigger pipeline: the task triggers while the problem is active
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(``state_change`` to ``on``) and auto-completes when it clears
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(``auto_complete_on_recovery``), so a one-off appliance fault lands in the same
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inbox, history and reminders as planned maintenance.
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Opt-in by design: discovery only *proposes*, and adoption acts on an explicit
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selection — a chatty integration can never flood the task list on its own. The
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pure discovery/build logic lives here; the WS layer wires it to hass.
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"""
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from __future__ import annotations
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from typing import Any
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from homeassistant.core import HomeAssistant
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from homeassistant.helpers import area_registry as ar
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from homeassistant.helpers import device_registry as dr
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from homeassistant.helpers import entity_registry as er
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from ..const import (
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CONF_ADOPTED_NOTES,
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CONF_OBJECT,
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CONF_TASKS,
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DOMAIN,
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GLOBAL_UNIQUE_ID,
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MAX_ADOPTED_NOTES,
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)
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PROBLEM_DEVICE_CLASS = "problem"
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# safety (NAS disk-health / lifespan thresholds) and tamper alarms behave like
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# problem sensors for adoption purposes: binary, on = action needed.
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ADOPTABLE_DEVICE_CLASSES = frozenset({PROBLEM_DEVICE_CLASS, "safety", "tamper"})
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# Words too generic to establish a sensor↔part relationship on their own
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# ("Printer problem" must not match a part just because it's ON the printer).
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_MATCH_STOPWORDS = frozenset({"problem", "low", "empty", "sensor", "status", "warning", "error", "alert", "the", "and"})
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def _name_tokens(name: str) -> set[str]:
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"""Meaningful lowercase tokens (≥3 chars, stopwords removed) of a name."""
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import re
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return {tok for tok in re.split(r"[^a-z0-9]+", name.lower()) if len(tok) >= 3 and tok not in _MATCH_STOPWORDS}
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def match_part_for_sensor(sensor_name: str, parts: dict[str, Any]) -> tuple[str, str] | None:
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"""The object's spare part that best matches a problem sensor's name.
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A toner-low sensor on a printer should suggest the "Toner cartridge" part:
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match = shared meaningful name token (case-insensitive, stopwords ignored).
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Returns ``(part_id, part_name)`` of the best (most-overlapping) match, or
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``None`` — deliberately conservative: no token overlap, no suggestion.
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"""
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sensor_tokens = _name_tokens(sensor_name)
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if not sensor_tokens or not isinstance(parts, dict):
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return None
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best: tuple[int, str, str] | None = None
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for part_id, part in parts.items():
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if not isinstance(part, dict):
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continue
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part_name = str(part.get("name") or "")
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overlap = len(_name_tokens(part_name) & sensor_tokens)
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if overlap and (best is None or overlap > best[0]):
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best = (overlap, str(part_id), part_name)
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return (best[1], best[2]) if best else None
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def _adopted_entity_ids(hass: HomeAssistant) -> set[str]:
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"""Every entity id already watched by some task's trigger — so discovery
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hides sensors that are already adopted (or manually wired to a trigger)."""
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from ..entity.triggers import normalize_entity_ids
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watched: set[str] = set()
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for entry in hass.config_entries.async_entries(DOMAIN):
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if entry.unique_id == GLOBAL_UNIQUE_ID:
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continue
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for task in entry.data.get(CONF_TASKS, {}).values():
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tc = task.get("trigger_config")
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if isinstance(tc, dict):
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watched.update(normalize_entity_ids(tc))
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return watched
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def _object_by_device(hass: HomeAssistant) -> dict[str, dict[str, str]]:
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"""{ha_device_id: {entry_id, name}} for objects already attached to a device."""
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out: dict[str, dict[str, str]] = {}
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for entry in hass.config_entries.async_entries(DOMAIN):
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if entry.unique_id == GLOBAL_UNIQUE_ID:
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continue
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obj = entry.data.get(CONF_OBJECT, {})
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dev = obj.get("ha_device_id")
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if dev:
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out[dev] = {"entry_id": entry.entry_id, "name": obj.get("name", entry.title)}
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return out
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def discover_problem_sensors(hass: HomeAssistant) -> list[dict[str, Any]]:
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"""Propose adoptable problem sensors (not already watched by a task).
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Each candidate carries what the picker needs to render + a suggested target
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object: the maintenance object already attached to the sensor's HA device,
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if any, else a name derived from the device/entity for a fresh object.
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"""
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adopted = _adopted_entity_ids(hass)
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by_device = _object_by_device(hass)
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ent_reg = er.async_get(hass)
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dev_reg = dr.async_get(hass)
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area_reg = ar.async_get(hass)
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out: list[dict[str, Any]] = []
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for state in hass.states.async_all("binary_sensor"):
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# safety/tamper alarms are maintenance-adjacent the same way problem
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# is (NAS disk-health thresholds ship as device_class: safety) —
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# adoption stays opt-in per sensor either way.
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if state.attributes.get("device_class") not in ADOPTABLE_DEVICE_CLASSES:
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continue
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if state.entity_id in adopted:
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continue
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name = state.attributes.get("friendly_name") or state.entity_id
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ent = ent_reg.async_get(state.entity_id)
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# Skip our OWN per-task "overdue" binary sensors — they carry
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# device_class: problem too, and adopting them would be circular.
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if ent is not None and ent.platform == DOMAIN:
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continue
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device_id = ent.device_id if ent else None
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device_name = ""
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area_name = ""
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if device_id and (dev := dev_reg.async_get(device_id)):
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device_name = dev.name_by_user or dev.name or ""
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area_id = dev.area_id
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if area_id and (area := area_reg.async_get_area(area_id)):
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area_name = area.name
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# Suggested target: existing object on this device, else a fresh one.
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suggested = by_device.get(device_id) if device_id else None
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# Suggested spare part: when the target object already exists and has a
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# part whose name matches the sensor's (toner-low ↔ "Toner cartridge"),
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# adoption can pre-link it so completing the task consumes/restocks it.
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suggested_part: tuple[str, str] | None = None
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if suggested is not None:
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from ..const import CONF_PARTS
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target_entry = hass.config_entries.async_get_entry(suggested["entry_id"])
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if target_entry is not None:
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suggested_part = match_part_for_sensor(name, target_entry.data.get(CONF_PARTS) or {})
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out.append(
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{
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"entity_id": state.entity_id,
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"name": name,
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"state": state.state, # "on" = problem active right now
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"device_id": device_id,
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"device_name": device_name,
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"area_name": area_name,
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"suggested_entry_id": suggested["entry_id"] if suggested else None,
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"suggested_object_name": suggested["name"] if suggested else (device_name or name),
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"suggested_part_id": suggested_part[0] if suggested_part else None,
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"suggested_part_name": suggested_part[1] if suggested_part else None,
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}
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)
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out.sort(key=lambda c: (c["device_name"] or "", c["name"]))
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return out
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# Task fields worth surviving an un-adopt → re-adopt cycle. Notes carry the
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# accumulated knowledge; the rest is configuration the user set up once and
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# shouldn't have to redo (consumes_parts is re-validated against the target
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# object's parts on restore — the object may differ or the part may be gone).
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_STASHED_TASK_FIELDS = ("notes", "responsible_user_id", "priority", "labels", "consumes_parts")
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def stash_task_config_for_readopt(hass: HomeAssistant, task: dict[str, Any]) -> None:
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"""Preserve a deleted adopted task's configuration for a later re-adopt.
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Un-adopting a problem sensor = deleting its task, which used to drop the
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accumulated notes ("needs part X") AND the one-time setup (responsible
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user, priority, labels, part link). For tasks carrying the adopted
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signature (``auto_complete_on_recovery`` on watched ``entity_ids``), the
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``_STASHED_TASK_FIELDS`` present on the task are stashed on the global
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entry keyed by the watched sensor, and restored (consumed) when the sensor
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is re-adopted. FIFO-capped at ``MAX_ADOPTED_NOTES`` so the global entry
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can't grow unbounded. Called from the shared task-delete path; a no-op for
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everything that isn't an adopted task with stashable fields.
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"""
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tc = task.get("trigger_config")
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if not isinstance(tc, dict) or not tc.get("auto_complete_on_recovery"):
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return
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entity_ids = tc.get("entity_ids") or []
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config = {k: task[k] for k in _STASHED_TASK_FIELDS if task.get(k) and (not isinstance(task[k], str) or task[k].strip())}
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# "normal" priority is the default — not worth resurrecting on its own.
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if config.get("priority") == "normal":
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config.pop("priority")
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if not entity_ids or not config:
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return
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from .global_options import get_global_entry
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entry = get_global_entry(hass)
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if entry is None:
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return
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options = dict(entry.options or entry.data)
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stash = dict(options.get(CONF_ADOPTED_NOTES) or {})
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key = str(entity_ids[0])
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stash.pop(key, None) # re-insert as newest (dict order = age)
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stash[key] = config
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while len(stash) > MAX_ADOPTED_NOTES:
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stash.pop(next(iter(stash)))
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options[CONF_ADOPTED_NOTES] = stash
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hass.config_entries.async_update_entry(entry, options=options)
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def pop_stashed_config(hass: HomeAssistant, entity_id: str) -> dict[str, Any] | None:
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"""Consume (return + remove) the stashed config for ``entity_id``, if any.
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Pre-v2.37 stashes stored the notes string bare — normalized here to the
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dict shape so the adopt path has a single format to apply.
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"""
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from .global_options import get_global_entry
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entry = get_global_entry(hass)
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if entry is None:
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return None
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options = dict(entry.options or entry.data)
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stash = dict(options.get(CONF_ADOPTED_NOTES) or {})
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stored = stash.pop(entity_id, None)
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if stored is None:
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return None
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options[CONF_ADOPTED_NOTES] = stash
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hass.config_entries.async_update_entry(entry, options=options)
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if isinstance(stored, str):
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return {"notes": stored} if stored.strip() else None
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if isinstance(stored, dict):
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config = {k: v for k, v in stored.items() if k in _STASHED_TASK_FIELDS and v}
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return config or None
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return None
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def build_problem_task(entity_id: str, name: str) -> dict[str, Any]:
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"""The task payload for an adopted problem sensor: manual schedule (no
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calendar), triggered while the problem is on, auto-completed on recovery."""
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# A concise task title; the sensor's friendly name often already reads like
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# "Printer problem", so keep it as-is rather than double-prefixing.
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return {
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"name": name,
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"task_type": "inspection",
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"schedule": {"kind": "manual"},
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"trigger_config": {
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"type": "state_change",
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"entity_ids": [entity_id],
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"trigger_to_state": "on",
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"trigger_target_changes": 1,
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"auto_complete_on_recovery": True,
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},
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}
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