Add autopilot light workflow

app/core/models.py

@@ -34,6 +34,12 @@ class JobStatus(StrEnum):
     FAILED = "failed"
 
 
+class CandidateStatus(StrEnum):
+    PROPOSED = "proposed"
+    ACCEPTED = "accepted"
+    DISMISSED = "dismissed"
+
+
 class EntityState(BaseModel):
     entity_id: str = Field(pattern=r"^[a-z0-9_]+\.[a-z0-9_]+$")
     domain: str
@@ -152,6 +158,28 @@ class SensorWeightOverride(BaseModel):
     updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
 
 
+class AutopilotSettings(BaseModel):
+    enabled: bool = True
+    interval_seconds: int = Field(default=3600, ge=300)
+    min_candidate_confidence: float = Field(default=0.65, ge=0.0, le=1.0)
+    auto_train: bool = True
+    auto_evaluate: bool = True
+    auto_activate: bool = False
+    last_run_at: datetime | None = None
+
+
+class CandidateRecommendation(BaseModel):
+    candidate_id: str
+    actuator_entity_id: str
+    trigger_entity_id: str
+    trigger_state: str | None = None
+    target_state: str
+    confidence: float = Field(default=0.0, ge=0.0, le=1.0)
+    reason: str
+    status: CandidateStatus = CandidateStatus.PROPOSED
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+
+
 class HistoryAnalysis(BaseModel):
     entity_id: str
     samples: int
@@ -199,11 +227,13 @@ class LearningState(BaseModel):
     model_evaluations: dict[str, ModelEvaluation] = Field(default_factory=dict)
     jobs: dict[str, JobQueueItem] = Field(default_factory=dict)
     weight_overrides: dict[str, SensorWeightOverride] = Field(default_factory=dict)
+    candidates: dict[str, CandidateRecommendation] = Field(default_factory=dict)
 
 
 class ControlState(BaseModel):
     profiles: dict[str, ControlProfile] = Field(default_factory=dict)
     global_enabled: bool = True
+    autopilot: AutopilotSettings = Field(default_factory=AutopilotSettings)
 
 
 class BackupBundle(BaseModel):