Use lightweight actuator dashboard summaries
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@@ -55,6 +55,21 @@ class ActuatorSuggestion(BaseModel):
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likely_context_count: int = 0
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class ActuatorSummary(BaseModel):
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actuator_entity_id: str
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domain: str
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enabled: bool
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behavior_mode: str
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behavior_status: str
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lifecycle_status: str
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activation_ready: bool
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activation_reason: str
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sample_count: int
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prediction_target_state: str | None = None
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prediction_confidence: float | None = None
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updated_at: str
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@router.get("/discovery", response_model=list[HaEntitySummary])
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def discover_actuators(ha_reader: HaReader = Depends(get_ha_reader)) -> list[HaEntitySummary]:
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entities = {entity.entity_id: entity for entity in ha_reader.read_entities()}
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@@ -143,6 +158,35 @@ def context_options(
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raise HTTPException(status_code=404, detail=str(exc)) from exc
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@router.get("/summary", response_model=list[ActuatorSummary])
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def list_configured_summary(request: Request) -> list[ActuatorSummary]:
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return [
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ActuatorSummary(
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actuator_entity_id=record.actuator_entity_id,
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domain=record.actuator_entity_id.split(".", 1)[0],
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enabled=record.enabled,
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behavior_mode=record.behavior.mode.value,
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behavior_status=record.behavior.status.value,
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lifecycle_status=record.lifecycle.status.value,
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activation_ready=record.behavior.activation_ready,
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activation_reason=record.behavior.activation_reason,
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sample_count=record.behavior.sample_count,
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prediction_target_state=(
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record.behavior.prediction.target_state
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if record.behavior.prediction is not None
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else None
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),
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prediction_confidence=(
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record.behavior.prediction.confidence
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if record.behavior.prediction is not None
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else None
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),
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updated_at=record.updated_at.isoformat(),
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)
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for record in _service(request).list_configured()
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]
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@router.get("", response_model=list[ActuatorRecord])
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def list_configured(request: Request) -> list[ActuatorRecord]:
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return _service(request).list_configured()
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