Add feast integration demo

examples/feast_whylogs_example/feature_repo/example.py

@@ -0,0 +1,36 @@
+# This is an example feature definition file
+
+from google.protobuf.duration_pb2 import Duration
+
+from feast import Entity, Feature, FeatureView, FileSource, ValueType
+
+# Read data from parquet files. Parquet is convenient for local development mode. For
+# production, you can use your favorite DWH, such as BigQuery. See Feast documentation
+# for more info.
+driver_hourly_stats = FileSource(
+    path="/work/feature_repo/data/driver_stats.parquet",
+    event_timestamp_column="event_timestamp",
+    created_timestamp_column="created",
+)
+
+# Define an entity for the driver. You can think of entity as a primary key used to
+# fetch features.
+driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id",)
+
+# Our parquet files contain sample data that includes a driver_id column, timestamps and
+# three feature column. Here we define a Feature View that will allow us to serve this
+# data to our model online.
+driver_hourly_stats_view = FeatureView(
+    name="driver_hourly_stats",
+    entities=["driver_id"],
+    ttl=Duration(seconds=86400 * 1),
+    features=[
+        Feature(name="rate_1m", dtype=ValueType.INT64),
+        Feature(name="avg_daily_trips", dtype=ValueType.INT64),
+        Feature(name="avg_speed", dtype=ValueType.FLOAT),
+
+    ],
+    online=True,
+    batch_source=driver_hourly_stats,
+    tags={},
+)

examples/feast_whylogs_example/feature_repo/feature_store.yaml

@@ -0,0 +1,5 @@
+project: feature_repo
+registry: data/registry.db
+provider: local
+online_store:
+    path: data/online_store.db