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v0.5.0: behavior learning, shadow prediction and safe activation #32

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Otto merged 3 commits from feature/actuator-sensor-lifecycle into main 2026-06-14 10:41:16 +02:00
Conversation 0 Commits 3 Files Changed 34 +16 -2
1 changed files with 16 additions and 2 deletions
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18
app/behavior/engine.py
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@@ -41,7 +41,14 @@ class BehaviorEngine:
self._settings = settings
def train_all(self) -> list[ActuatorRecord]:
return [self.train(record.actuator_entity_id) for record in self._store.list()]
results: list[ActuatorRecord] = []
for record in self._store.list():
try:
results.append(self.train(record.actuator_entity_id))
except Exception:
logger.exception("Behavior training failed for %s", record.actuator_entity_id)
results.append(record)
return results
def train(self, actuator_entity_id: str) -> ActuatorRecord:
record = self._store.get(actuator_entity_id)
@@ -143,7 +150,14 @@ class BehaviorEngine:
return self._save_behavior(record, behavior)
def evaluate_all(self) -> list[ActuatorRecord]:
return [self.evaluate(record.actuator_entity_id) for record in self._store.list()]
results: list[ActuatorRecord] = []
for record in self._store.list():
try:
results.append(self.evaluate(record.actuator_entity_id))
except Exception:
logger.exception("Behavior evaluation failed for %s", record.actuator_entity_id)
results.append(record)
return results
def evaluate(self, actuator_entity_id: str) -> ActuatorRecord:
record = self._store.get(actuator_entity_id)