add tests

Signed-off-by: Attila Toth <attila.toth@scylladb.com>
franciscojavierarceo · Jul 8, 2026 · Jun 12, 2026 · Jun 18, 2026 · Jun 18, 2026 · Jun 18, 2026
commit 08573c6b98ef7e992cfe82edac13916206fae7a9
@@ -14,6 +14,8 @@
 """
 
 import os
+import time
+from datetime import datetime, timedelta, timezone
 from typing import List
 
 import pytest
@@ -28,7 +30,7 @@
 from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto
 from feast.protos.feast.types.Value_pb2 import FloatList
 from feast.protos.feast.types.Value_pb2 import Value as ValueProto
-from feast.types import Array, Float32
+from feast.types import Array, Float32, Int64
 from feast.utils import _utc_now
 from feast.value_type import ValueType
 from tests.universal.feature_repos.universal.online_store.scylladb import (
@@ -85,7 +87,7 @@ def _make_entity_key(val: str) -> EntityKeyProto:
     )
 
 
-def _make_feature_view(name: str, with_vector: bool = False) -> FeatureView:
+def _make_feature_view(name: str, with_vector: bool = False, ttl: timedelta = None) -> FeatureView:
     source = FileSource(path="dummy.parquet", timestamp_field="event_timestamp")
     schema: List[Field] = [Field(name="score", dtype=Array(Float32))]
     if with_vector:
@@ -108,6 +110,7 @@ def _make_feature_view(name: str, with_vector: bool = False) -> FeatureView:
         schema=schema,
         online=True,
         source=source,
+        ttl=ttl,
     )
 
 
@@ -142,6 +145,7 @@ def test_write_and_read(docker_config):
         ts, feats = results[0]
         assert feats is not None
         assert "score" in feats
+        assert list(feats["score"].float_list_val.val) == pytest.approx([0.9])
     finally:
         store.teardown(cfg, [fv], [])
 
@@ -176,14 +180,155 @@ def test_missing_key_returns_none(docker_config):
         store.teardown(cfg, [fv], [])
 
 
+def test_multiple_features_roundtrip(docker_config):
+    """Multiple features of different types all round-trip with the correct value.
+    """
+    store = ScyllaDBOnlineStore()
+    cfg = docker_config
+    source = FileSource(path="dummy.parquet", timestamp_field="event_timestamp")
+    fv = FeatureView(
+        name="test_multi_features",
+        entities=[Entity(name="item_id", join_keys=["item_id"], value_type=ValueType.STRING)],
+        schema=[
+            Field(name="score", dtype=Array(Float32)),
+            Field(name="priority", dtype=Int64),
+        ],
+        online=True,
+        source=source,
+    )
+
+    store.update(cfg, [], [fv], [], [], partial=False)
+    try:
+        ek = _make_entity_key("item_mf")
+        store.online_write_batch(
+            cfg,
+            fv,
+            [
+                (
+                    ek,
+                    {
+                        "score": ValueProto(float_list_val=FloatList(val=[0.85, 0.15])),
+                        "priority": ValueProto(int64_val=42),
+                    },
+                    _utc_now(),
+                    None,
+                )
+            ],
+            None,
+        )
+        results = store.online_read(cfg, fv, [ek])
+        assert len(results) == 1
+        ts, feats = results[0]
+        assert feats is not None
+        assert list(feats["score"].float_list_val.val) == pytest.approx([0.85, 0.15])
+        assert feats["priority"].int64_val == 42
+    finally:
+        store.teardown(cfg, [fv], [])
+
+
+def test_multiple_entities(docker_config):
+    """Multiple entity keys can be read in a single online_read call with correct values.
+
+    Mirrors the multi-entity behaviour verified by the universal online store
+    suite (``test_online_retrieval_with_event_timestamps``) which Cassandra runs.
+    """
+    store = ScyllaDBOnlineStore()
+    cfg = docker_config
+    fv = _make_feature_view("test_multi_entities")
+
+    store.update(cfg, [], [fv], [], [], partial=False)
+    try:
+        keys = [_make_entity_key(f"entity_{i}") for i in range(3)]
+        batch = [
+            (
+                ek,
+                {"score": ValueProto(float_list_val=FloatList(val=[float(i) * 0.1 + 0.1]))},
+                _utc_now(),
+                None,
+            )
+            for i, ek in enumerate(keys)
+        ]
+        store.online_write_batch(cfg, fv, batch, None)
+        results = store.online_read(cfg, fv, keys)
+        assert len(results) == 3
+        for i, (ts, feats) in enumerate(results):
+            assert feats is not None, f"Entity {i} returned None features"
+            assert list(feats["score"].float_list_val.val) == pytest.approx(
+                [float(i) * 0.1 + 0.1]
+            )
+    finally:
+        store.teardown(cfg, [fv], [])
+
+
+def test_overwrite_uses_latest_value(docker_config):
+    """Writing the same entity key twice keeps the most-recently-written value."""
+    store = ScyllaDBOnlineStore()
+    cfg = docker_config
+    fv = _make_feature_view("test_overwrite")
+
+    store.update(cfg, [], [fv], [], [], partial=False)
+    try:
+        ek = _make_entity_key("overwrite_item")
+        store.online_write_batch(
+            cfg,
+            fv,
+            [(ek, {"score": ValueProto(float_list_val=FloatList(val=[0.1]))}, _utc_now(), None)],
+            None,
+        )
+        store.online_write_batch(
+            cfg,
+            fv,
+            [(ek, {"score": ValueProto(float_list_val=FloatList(val=[0.9]))}, _utc_now(), None)],
+            None,
+        )
+        results = store.online_read(cfg, fv, [ek])
+        assert len(results) == 1
+        ts, feats = results[0]
+        assert feats is not None
+        assert list(feats["score"].float_list_val.val) == pytest.approx([0.9])
+    finally:
+        store.teardown(cfg, [fv], [])
+
+
+def test_event_timestamp_returned(docker_config):
+    """The event timestamp written with a row is returned correctly by online_read.
+
+    Mirrors ``test_online_retrieval_with_event_timestamps`` from the universal
+    suite which verifies per-entity timestamps for all online store types.
+    """
+    store = ScyllaDBOnlineStore()
+    cfg = docker_config
+    fv = _make_feature_view("test_event_ts")
+
+    store.update(cfg, [], [fv], [], [], partial=False)
+    try:
+        ek = _make_entity_key("ts_item")
+        # Use a second-boundary timestamp — CQL ``timestamp`` has ms precision.
+        write_ts = datetime(2024, 1, 15, 12, 0, 0, tzinfo=timezone.utc)
+        store.online_write_batch(
+            cfg,
+            fv,
+            [(ek, {"score": ValueProto(float_list_val=FloatList(val=[0.5]))}, write_ts, None)],
+            None,
+        )
+        results = store.online_read(cfg, fv, [ek])
+        assert len(results) == 1
+        ts, feats = results[0]
+        assert ts is not None
+        assert isinstance(ts, datetime)
+        # Normalise both to UTC before comparing.
+        ts_utc = ts if ts.tzinfo is not None else ts.replace(tzinfo=timezone.utc)
+        assert ts_utc == write_ts
+    finally:
+        store.teardown(cfg, [fv], [])
+
+
 # ---------------------------------------------------------------------------
 # Tests — vector search (local Docker stack via docker_config)
 # ---------------------------------------------------------------------------
 
 
 def test_vector_search(docker_config):
-    import time
-
     store = ScyllaDBOnlineStore()
     cfg = docker_config
     fv = _make_feature_view("test_vector_search", with_vector=True)
@@ -236,14 +381,28 @@ def test_vector_search(docker_config):
         assert len(results) == 2
 
         # Extract entity IDs from the returned entity key protos.
+        # Also verify the shape and types of every field in each result tuple.
+        # The expected embeddings keyed by entity ID for value verification.
+        expected_embeddings = {
+            "vec_a": [1.0, 0.0, 0.0, 0.0],
+            "vec_b": [0.0, 1.0, 0.0, 0.0],
+            "vec_c": [1.0, 0.1, 0.0, 0.0],
+        }
         returned_ids = []
         for ts, ek_proto, feats in results:
-            assert ts is not None
+            assert isinstance(ts, datetime), f"Expected datetime, got {type(ts)}"
             assert feats is not None
             assert "score" in feats
             assert "embedding" in feats
+            # score field: single-element float list written as 0.5
+            assert list(feats["score"].float_list_val.val) == pytest.approx([0.5])
+            # embedding field: values must match what was written
+            entity_id = ek_proto.entity_values[0].string_val
+            assert list(feats["embedding"].float_list_val.val) == pytest.approx(
+                expected_embeddings[entity_id]
+            )
             assert ek_proto is not None
-            returned_ids.append(ek_proto.entity_values[0].string_val)
+            returned_ids.append(entity_id)
 
         # Query is [1,0,0,0]; vec_a=[1,0,0,0] (exact match) and
         # vec_c=[1,0.1,0,0] are the two nearest neighbours by cosine similarity.
@@ -257,3 +416,47 @@ def test_vector_search(docker_config):
         )
     finally:
         store.teardown(cfg, [fv], [])
+
+
+def test_ttl_expiry(docker_config):
+    """Rows written with a TTL should be gone after ScyllaDB expires them."""
+    store = ScyllaDBOnlineStore()
+    cfg = docker_config
+    # TTL of 2 seconds, short enough for a test, long enough to write first.
+    fv = _make_feature_view("test_ttl_expiry", ttl=timedelta(seconds=5))
+
+    store.update(cfg, [], [fv], [], [], partial=False)
+    try:
+        ek = _make_entity_key("ttl_item")
+        store.online_write_batch(
+            cfg,
+            fv,
+            [
+                (
+                    ek,
+                    {"score": ValueProto(float_list_val=FloatList(val=[0.7]))},
+                    _utc_now(),
+                    None,
+                )
+            ],
+            None,
+        )
+
+        # Confirm the row is readable immediately after writing.
+        results = store.online_read(cfg, fv, [ek])
+        assert len(results) == 1
+        ts, feats = results[0]
+        assert feats is not None, "Row should be present right after write"
+
+        # Wait for ScyllaDB to expire the row (TTL = 5s, wait 8s to be safe).
+        time.sleep(8)
+
+        results = store.online_read(cfg, fv, [ek])
+        assert len(results) == 1
+        ts_after, feats_after = results[0]
+        assert feats_after is None, (
+            "Row should have expired and return None, "
+            f"but got features: {feats_after}"
+        )
+    finally:
+        store.teardown(cfg, [fv], [])