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ML-005: FastAPI-App-Start und Batch-Sensor-Support finalisieren

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Pino
2026-06-11 13:28:40 +02:00
parent 57275d5172
commit d6c48b495a
1 changed files with 7 additions and 2 deletions
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9
backend/app.py
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@@ -3,7 +3,7 @@ from fastapi import FastAPI
from backend.routes.ml import init_ml_routes from backend.routes.ml import init_ml_routes
from app.ml.registry.model_registry import ModelRegistry from app.ml.registry.model_registry import ModelRegistry
from app.ml.training import TrainingPipeline from app.ml.training import TrainingPipeline
from app.ml.feature_store import FeatureStore from app.ml.feature_store import FeatureStore, FeatureVector
def create_app() -> FastAPI: def create_app() -> FastAPI:
@@ -13,6 +13,10 @@ def create_app() -> FastAPI:
return application return application
def _app_state(): # noqa: ANN001
return app.state
def _seed_default_model(state) -> None: # noqa: ANN001 def _seed_default_model(state) -> None: # noqa: ANN001
registry = getattr(state, "registry", None) registry = getattr(state, "registry", None)
if registry is None: if registry is None:
@@ -23,7 +27,8 @@ def _seed_default_model(state) -> None: # noqa: ANN001
return return
store = FeatureStore() store = FeatureStore()
store.add("sensor.kitchen", {"temperature": 19.0}) store.add(FeatureVector(sensor_id="sensor.front_door", values={"contact": 1.0}))
store.add(FeatureVector(sensor_id="sensor.living_room", values={"temperature": 21.0}))
pipeline = TrainingPipeline(store) pipeline = TrainingPipeline(store)
artifact = pipeline.run("default") artifact = pipeline.run("default")
registry.register(artifact) registry.register(artifact)