ML-001: Feature Store und erste ML-Tests hinzufügen

app/ml/feature_store.py

@@ -0,0 +1,31 @@
+from __future__ import annotations
+
+from collections import defaultdict
+from dataclasses import dataclass, field
+from typing import Iterable
+
+
+@dataclass(frozen=True)
+class FeatureVector:
+    sensor_id: str
+    values: dict[str, float]
+    label: str | None = None
+
+
+class FeatureStore:
+    def __init__(self) -> None:
+        self._vectors: dict[str, list[FeatureVector]] = defaultdict(list)
+
+    def add(self, vector: FeatureVector) -> None:
+        self._vectors[vector.sensor_id].append(vector)
+
+    def add_batch(self, vectors: Iterable[FeatureVector]) -> None:
+        for vector in vectors:
+            self.add(vector)
+
+    def latest(self, sensor_id: str) -> FeatureVector | None:
+        series = self._vectors.get(sensor_id)
+        return series[-1] if series else None
+
+    def all(self) -> list[FeatureVector]:
+        return [vector for vectors in self._vectors.values() for vector in vectors]