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Add adaptive learning and model rollback
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This commit is contained in:
Otto
2026-06-17 18:41:03 +02:00
parent 0101596e93
commit 2ec2c64cba
11 changed files with 465 additions and 4 deletions
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40
app/actuators/models.py
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@@ -146,6 +146,14 @@ class DecisionFactor(BaseModel):
evidence: list[str] = Field(default_factory=list)
class AdaptiveWeightUpdate(BaseModel):
entity_id: str
previous_weight: float = Field(ge=0.0, le=1.0)
new_weight: float = Field(ge=0.0, le=1.0)
reason: str = Field(max_length=300)
updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
class SafetyRule(BaseModel):
rule_id: str = Field(pattern=r"^[a-z0-9_-]{1,64}$")
label: str = Field(min_length=1, max_length=160)
@@ -196,6 +204,33 @@ class ExecutionEvent(BaseModel):
executed_at: datetime
class ModelSnapshot(BaseModel):
version_id: str
created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
sample_count: int = Field(default=0, ge=0)
high_confidence_sample_count: int = Field(default=0, ge=0)
average_confidence: float = Field(default=0.0, ge=0.0, le=1.0)
incorrect_feedback_count: int = Field(default=0, ge=0)
patterns: list[BehaviorPattern] = Field(default_factory=list)
reason: str = Field(default="", max_length=500)
class AutomationConflict(BaseModel):
automation_entity_id: str = Field(pattern=r"^automation\.[a-z0-9_]+$")
severity: str = Field(default="info", max_length=20)
status: str = Field(default="open", max_length=40)
reason: str = Field(max_length=500)
updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
class TimeProfile(BaseModel):
profile_id: str = Field(pattern=r"^[a-z0-9_-]{1,64}$")
label: str = Field(min_length=1, max_length=80)
sample_count: int = Field(default=0, ge=0)
dominant_state: str | None = None
confidence: float = Field(default=0.0, ge=0.0, le=1.0)
class RelatedAutomation(BaseModel):
entity_id: str = Field(pattern=r"^automation\.[a-z0-9_]+$")
config_id: str = Field(min_length=1, max_length=120)
@@ -230,6 +265,11 @@ class BehaviorState(BaseModel):
confidence_trend: list[float] = Field(default_factory=list)
correct_feedback_count: int = Field(default=0, ge=0)
incorrect_feedback_count: int = Field(default=0, ge=0)
model_snapshots: list[ModelSnapshot] = Field(default_factory=list)
active_model_version: str | None = None
adaptive_weight_updates: list[AdaptiveWeightUpdate] = Field(default_factory=list)
automation_conflicts: list[AutomationConflict] = Field(default_factory=list)
time_profiles: list[TimeProfile] = Field(default_factory=list)
class ActuatorRecord(BaseModel):