BEHAVIOR-001: learn and predict actuator actions

This commit is contained in:
2026-06-14 10:37:59 +02:00
parent 6305f52cd2
commit fa250216be
34 changed files with 1614 additions and 489 deletions

View File

@@ -5,6 +5,7 @@ from dataclasses import dataclass
from datetime import datetime
import json
import re
from typing import Any
from urllib.parse import quote
import requests
@@ -19,6 +20,7 @@ from app.ha.exceptions import (
logger = logging.getLogger(__name__)
_ENTITY_ID_PATTERN = re.compile(r"^[a-z0-9_]+\.[a-z0-9_]+$")
_SERVICE_PART_PATTERN = re.compile(r"^[a-z0-9_]+$")
_MAX_HISTORY_SECONDS = 31 * 24 * 60 * 60
@@ -84,6 +86,44 @@ class HaClient:
)
return payload
def get_logbook(
self,
entity_id: str,
start_time: datetime,
end_time: datetime,
) -> list[object]:
self._validate_period([entity_id], start_time, end_time)
start = quote(start_time.isoformat(), safe=":+")
payload = self._get_json(
f"/api/logbook/{start}",
params={
"entity": entity_id,
"end_time": end_time.isoformat(),
},
)
if not isinstance(payload, list):
raise HaUnexpectedPayloadError(
"Logbook-Antwort von Home Assistant hat unerwartetes Format."
)
return payload
def call_service(
self,
domain: str,
service: str,
service_data: dict[str, object],
) -> list[object]:
if not _SERVICE_PART_PATTERN.fullmatch(domain):
raise ValueError("Ungültige Service-Domain.")
if not _SERVICE_PART_PATTERN.fullmatch(service):
raise ValueError("Ungültiger Service-Name.")
payload = self._post_json(f"/api/services/{domain}/{service}", service_data)
if not isinstance(payload, list):
raise HaUnexpectedPayloadError(
"Service-Antwort von Home Assistant hat unerwartetes Format."
)
return payload
def list_entity_metadata(self, entity_ids: list[str]) -> dict[str, dict[str, str | None]]:
if not entity_ids:
return {}
@@ -153,6 +193,36 @@ class HaClient:
return payload
def _post_json(self, path: str, payload: Any) -> object:
try:
response = self._session.post(
f"{self._settings.url.rstrip('/')}{path}",
json=payload,
timeout=self._settings.timeout_seconds,
)
except requests.Timeout as exc:
raise HaTimeoutError("Zeitüberschreitung beim Zugriff auf Home Assistant.") from exc
except requests.RequestException as exc:
raise HaHttpError(
getattr(getattr(exc, "response", None), "status_code", 502),
"Netzwerkfehler beim Zugriff auf Home Assistant.",
) from exc
if response.status_code in (401, 403):
raise HaAuthError(
response.status_code,
"Authentifizierung bei Home Assistant fehlgeschlagen.",
)
try:
response.raise_for_status()
except requests.HTTPError as exc:
raise HaHttpError(response.status_code, "Home Assistant meldet einen Fehler.") from exc
try:
return response.json()
except ValueError as exc:
raise HaUnexpectedPayloadError(
"Antwort von Home Assistant ist kein gültiges JSON."
) from exc
def _post_text(self, path: str, payload: dict[str, str]) -> str:
try:
response = self._session.post(
@@ -179,6 +249,25 @@ class HaClient:
raise HaHttpError(response.status_code, "Home Assistant meldet einen Fehler.") from exc
return response.text
@staticmethod
def _validate_period(
entity_ids: list[str],
start_time: datetime,
end_time: datetime,
) -> None:
if not entity_ids:
raise ValueError("Mindestens eine entity_id ist erforderlich.")
if len(entity_ids) > 100:
raise ValueError("Es können höchstens 100 Entities abgefragt werden.")
if any(not _ENTITY_ID_PATTERN.fullmatch(entity_id) for entity_id in entity_ids):
raise ValueError("entity_id enthält ein ungültiges Format.")
if start_time.tzinfo is None or end_time.tzinfo is None:
raise ValueError("start_time und end_time müssen eine Zeitzone enthalten.")
if end_time <= start_time:
raise ValueError("end_time muss nach start_time liegen.")
if (end_time - start_time).total_seconds() > _MAX_HISTORY_SECONDS:
raise ValueError("History-Abfragen sind auf 31 Tage begrenzt.")
def _metadata_template(entity_ids: list[str]) -> str:
ids = json.dumps(entity_ids, ensure_ascii=True)

View File

@@ -18,6 +18,25 @@ class EntityHistorySeries(BaseModel):
points: list[NumericHistoryPoint]
class StateHistoryPoint(BaseModel):
timestamp: datetime
state: str
class StateHistorySeries(BaseModel):
entity_id: str
points: list[StateHistoryPoint]
class LogbookEntry(BaseModel):
entity_id: str
timestamp: datetime
message: str = ""
context_user_id: str | None = None
context_domain: str | None = None
context_service: str | None = None
def normalize_history_payload(payload: object) -> list[EntityHistorySeries]:
if not isinstance(payload, list):
raise HaUnexpectedPayloadError("History-Payload muss eine Liste sein.")
@@ -33,6 +52,68 @@ def normalize_history_payload(payload: object) -> list[EntityHistorySeries]:
return sorted(normalized, key=lambda item: item.entity_id)
def normalize_state_history_payload(payload: object) -> list[StateHistorySeries]:
if not isinstance(payload, list):
raise HaUnexpectedPayloadError("History-Payload muss eine Liste sein.")
normalized: list[StateHistorySeries] = []
for raw_series in payload:
if not isinstance(raw_series, list):
raise HaUnexpectedPayloadError("History-Serie muss eine Liste sein.")
entity_id: str | None = None
points: list[StateHistoryPoint] = []
for raw_entry in raw_series:
if not isinstance(raw_entry, dict):
raise HaUnexpectedPayloadError("History-Eintrag muss ein Objekt sein.")
raw_entity_id = raw_entry.get("entity_id")
if raw_entity_id is not None:
if not isinstance(raw_entity_id, str) or "." not in raw_entity_id:
raise HaUnexpectedPayloadError(
"History-Eintrag enthält ungültige entity_id."
)
if entity_id is not None and entity_id != raw_entity_id:
raise HaUnexpectedPayloadError("History-Serie enthält mehrere Entities.")
entity_id = raw_entity_id
raw_state = raw_entry.get("state")
if not isinstance(raw_state, str) or raw_state in {"unknown", "unavailable"}:
continue
if entity_id is None:
raise HaUnexpectedPayloadError("History-Serie enthält keine entity_id.")
timestamp = _parse_timestamp(
raw_entry.get("last_changed") or raw_entry.get("last_updated")
)
if not points or points[-1].state != raw_state:
points.append(StateHistoryPoint(timestamp=timestamp, state=raw_state))
if entity_id is not None and points:
points.sort(key=lambda point: point.timestamp)
normalized.append(StateHistorySeries(entity_id=entity_id, points=points))
return sorted(normalized, key=lambda item: item.entity_id)
def normalize_logbook_payload(payload: object, entity_id: str) -> list[LogbookEntry]:
if not isinstance(payload, list):
raise HaUnexpectedPayloadError("Logbook-Payload muss eine Liste sein.")
entries: list[LogbookEntry] = []
for raw_entry in payload:
if not isinstance(raw_entry, dict):
raise HaUnexpectedPayloadError("Logbook-Eintrag muss ein Objekt sein.")
raw_entity_id = raw_entry.get("entity_id")
if raw_entity_id != entity_id:
continue
entries.append(
LogbookEntry(
entity_id=entity_id,
timestamp=_parse_timestamp(raw_entry.get("when")),
message=str(raw_entry.get("message") or ""),
context_user_id=_optional_string(raw_entry.get("context_user_id")),
context_domain=_optional_string(
raw_entry.get("context_domain") or raw_entry.get("domain")
),
context_service=_optional_string(raw_entry.get("context_service")),
)
)
return sorted(entries, key=lambda item: item.timestamp)
def _normalize_series(raw_series: list[object]) -> EntityHistorySeries | None:
entity_id: str | None = None
points: list[NumericHistoryPoint] = []
@@ -89,3 +170,9 @@ def _parse_timestamp(value: object) -> datetime:
if parsed.tzinfo is None:
raise HaUnexpectedPayloadError("History-Zeitstempel muss eine Zeitzone enthalten.")
return parsed
def _optional_string(value: object) -> str | None:
if value is None or value == "":
return None
return str(value)

View File

@@ -14,6 +14,7 @@ class HaState(BaseModel):
class HaEntitySummary(BaseModel):
entity_id: str
domain: str
state: str | None = None
state_class: str | None = None
device_class: str | None = None
unit_of_measurement: str | None = None

View File

@@ -9,7 +9,14 @@ from app.ha.exceptions import HaClientError
from app.ha.client import HaClient
from app.ha.discovery import DiscoveredEntity, discover_entities
from app.ha.history import EntityHistorySeries, normalize_history_payload
from app.ha.history import (
EntityHistorySeries,
LogbookEntry,
StateHistorySeries,
normalize_history_payload,
normalize_logbook_payload,
normalize_state_history_payload,
)
from app.ha.models import HaEntitySummary
logger = logging.getLogger(__name__)
@@ -45,6 +52,7 @@ class HaReader:
HaEntitySummary(
entity_id=entity_id,
domain=domain,
state=_optional_str(item.get("state")),
state_class=_optional_str(attributes.get("state_class")),
device_class=_optional_str(attributes.get("device_class")),
unit_of_measurement=_optional_str(attributes.get("unit_of_measurement")),
@@ -77,6 +85,32 @@ class HaReader:
payload = self._client.get_history(entity_ids, start_time, end_time)
return normalize_history_payload(payload)
def read_state_history(
self,
entity_ids: list[str],
start_time: datetime,
end_time: datetime,
) -> Sequence[StateHistorySeries]:
payload = self._client.get_history(entity_ids, start_time, end_time)
return normalize_state_history_payload(payload)
def read_logbook(
self,
entity_id: str,
start_time: datetime,
end_time: datetime,
) -> Sequence[LogbookEntry]:
payload = self._client.get_logbook(entity_id, start_time, end_time)
return normalize_logbook_payload(payload, entity_id)
def call_service(
self,
domain: str,
service: str,
service_data: dict[str, object],
) -> Sequence[object]:
return self._client.call_service(domain, service, service_data)
def _optional_str(value: object) -> str | None:
if value is None or value == "":