fix: Parse inline data sources (#3036)

* Remove deprecated CLI warnings

Signed-off-by: Felix Wang <[email protected]>

* Fix repo parsing logic

Signed-off-by: Felix Wang <[email protected]>

* Add tests

Signed-off-by: Felix Wang <[email protected]>

Signed-off-by: Felix Wang <[email protected]>

sdk/python/feast/cli.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 import json
 import logging
-import warnings
 from datetime import datetime
 from pathlib import Path
 from typing import List, Optional
@@ -45,7 +44,6 @@
 from feast.utils import maybe_local_tz
 
 _logger = logging.getLogger(__name__)
-warnings.filterwarnings("ignore", category=DeprecationWarning, module="(?!feast)")
 
 
 class NoOptionDefaultFormat(click.Command):
@@ -197,11 +195,6 @@ def data_source_describe(ctx: click.Context, name: str):
         print(e)
         exit(1)
 
-    warnings.warn(
-        "Describing data sources will only work properly if all data sources have names or table names specified. "
-        "Starting Feast 0.24, data source unique names will be required to encourage data source discovery.",
-        RuntimeWarning,
-    )
     print(
         yaml.dump(
             yaml.safe_load(str(data_source)), default_flow_style=False, sort_keys=False
@@ -224,11 +217,6 @@ def data_source_list(ctx: click.Context):
 
     from tabulate import tabulate
 
-    warnings.warn(
-        "Listing data sources will only work properly if all data sources have names or table names specified. "
-        "Starting Feast 0.24, data source unique names will be required to encourage data source discovery",
-        RuntimeWarning,
-    )
     print(tabulate(table, headers=["NAME", "CLASS"], tablefmt="plain"))
 
 

sdk/python/feast/feature_store.py

@@ -43,7 +43,13 @@
 from feast import feature_server, flags_helper, ui_server, utils
 from feast.base_feature_view import BaseFeatureView
 from feast.batch_feature_view import BatchFeatureView
-from feast.data_source import DataSource, PushMode
+from feast.data_source import (
+    DataSource,
+    KafkaSource,
+    KinesisSource,
+    PushMode,
+    PushSource,
+)
 from feast.diff.infra_diff import InfraDiff, diff_infra_protos
 from feast.diff.registry_diff import RegistryDiff, apply_diff_to_registry, diff_between
 from feast.dqm.errors import ValidationFailed
@@ -827,6 +833,18 @@ def apply(
             ob for ob in objects if isinstance(ob, ValidationReference)
         ]
 
+        batch_sources_to_add: List[DataSource] = []
+        for data_source in data_sources_set_to_update:
+            if (
+                isinstance(data_source, PushSource)
+                or isinstance(data_source, KafkaSource)
+                or isinstance(data_source, KinesisSource)
+            ):
+                assert data_source.batch_source
+                batch_sources_to_add.append(data_source.batch_source)
+        for batch_source in batch_sources_to_add:
+            data_sources_set_to_update.add(batch_source)
+
         for fv in itertools.chain(views_to_update, sfvs_to_update):
             data_sources_set_to_update.add(fv.batch_source)
             if fv.stream_source:

sdk/python/feast/repo_operations.py

@@ -14,7 +14,7 @@
 
 from feast import PushSource
 from feast.batch_feature_view import BatchFeatureView
-from feast.data_source import DataSource, KafkaSource
+from feast.data_source import DataSource, KafkaSource, KinesisSource
 from feast.diff.registry_diff import extract_objects_for_keep_delete_update_add
 from feast.entity import Entity
 from feast.feature_service import FeatureService
@@ -114,44 +114,64 @@ def parse_repo(repo_root: Path) -> RepoContents:
         request_feature_views=[],
     )
 
-    data_sources_set = set()
     for repo_file in get_repo_files(repo_root):
         module_path = py_path_to_module(repo_file)
         module = importlib.import_module(module_path)
+
         for attr_name in dir(module):
             obj = getattr(module, attr_name)
+
             if isinstance(obj, DataSource) and not any(
                 (obj is ds) for ds in res.data_sources
             ):
                 res.data_sources.append(obj)
-                data_sources_set.add(obj)
+
+                # Handle batch sources defined within stream sources.
+                if (
+                    isinstance(obj, PushSource)
+                    or isinstance(obj, KafkaSource)
+                    or isinstance(obj, KinesisSource)
+                ):
+                    batch_source = obj.batch_source
+
+                    if batch_source and not any(
+                        (batch_source is ds) for ds in res.data_sources
+                    ):
+                        res.data_sources.append(batch_source)
             if (
                 isinstance(obj, FeatureView)
                 and not any((obj is fv) for fv in res.feature_views)
                 and not isinstance(obj, StreamFeatureView)
                 and not isinstance(obj, BatchFeatureView)
             ):
                 res.feature_views.append(obj)
-                if isinstance(obj.stream_source, PushSource) and not any(
-                    (obj is ds) for ds in res.data_sources
-                ):
-                    push_source_dep = obj.stream_source.batch_source
-                    # Don't add if the push source's batch source is a duplicate of an existing batch source
-                    if push_source_dep not in data_sources_set:
-                        res.data_sources.append(push_source_dep)
+
+                # Handle batch sources defined with feature views.
+                batch_source = obj.batch_source
+                assert batch_source
+                if not any((batch_source is ds) for ds in res.data_sources):
+                    res.data_sources.append(batch_source)
+
+                # Handle stream sources defined with feature views.
+                if obj.stream_source:
+                    stream_source = obj.stream_source
+                    if not any((stream_source is ds) for ds in res.data_sources):
+                        res.data_sources.append(stream_source)
             elif isinstance(obj, StreamFeatureView) and not any(
                 (obj is sfv) for sfv in res.stream_feature_views
             ):
                 res.stream_feature_views.append(obj)
-                if (
-                    isinstance(obj.stream_source, PushSource)
-                    or isinstance(obj.stream_source, KafkaSource)
-                    and not any((obj is ds) for ds in res.data_sources)
-                ):
-                    batch_source_dep = obj.stream_source.batch_source
-                    # Don't add if the push source's batch source is a duplicate of an existing batch source
-                    if batch_source_dep and batch_source_dep not in data_sources_set:
-                        res.data_sources.append(batch_source_dep)
+
+                # Handle batch sources defined with feature views.
+                batch_source = obj.batch_source
+                if not any((batch_source is ds) for ds in res.data_sources):
+                    res.data_sources.append(batch_source)
+
+                # Handle stream sources defined with feature views.
+                stream_source = obj.stream_source
+                assert stream_source
+                if not any((stream_source is ds) for ds in res.data_sources):
+                    res.data_sources.append(stream_source)
             elif isinstance(obj, Entity) and not any(
                 (obj is entity) for entity in res.entities
             ):
@@ -168,6 +188,7 @@ def parse_repo(repo_root: Path) -> RepoContents:
                 (obj is rfv) for rfv in res.request_feature_views
             ):
                 res.request_feature_views.append(obj)
+
     res.entities.append(DUMMY_ENTITY)
     return res
 
@@ -300,7 +321,6 @@ def log_infra_changes(
 
 @log_exceptions_and_usage
 def apply_total(repo_config: RepoConfig, repo_path: Path, skip_source_validation: bool):
-
     os.chdir(repo_path)
     project, registry, repo, store = _prepare_registry_and_repo(repo_config, repo_path)
     apply_total_with_repo_instance(

sdk/python/tests/example_repos/example_feature_repo_with_inline_batch_source.py

@@ -0,0 +1,28 @@
+from datetime import timedelta
+
+from feast import Entity, FeatureView, Field, FileSource
+from feast.types import Float32, Int32, Int64
+
+driver = Entity(
+    name="driver_id",
+    description="driver id",
+)
+
+driver_hourly_stats_view = FeatureView(
+    name="driver_hourly_stats",
+    entities=[driver],
+    ttl=timedelta(days=1),
+    schema=[
+        Field(name="conv_rate", dtype=Float32),
+        Field(name="acc_rate", dtype=Float32),
+        Field(name="avg_daily_trips", dtype=Int64),
+        Field(name="driver_id", dtype=Int32),
+    ],
+    online=True,
+    source=FileSource(
+        path="data/driver_stats.parquet",  # Fake path
+        timestamp_field="event_timestamp",
+        created_timestamp_column="created",
+    ),
+    tags={},
+)

sdk/python/tests/example_repos/example_feature_repo_with_inline_stream_source.py

@@ -0,0 +1,37 @@
+from datetime import timedelta
+
+from feast import Entity, FeatureView, Field, FileSource, KafkaSource
+from feast.data_format import AvroFormat
+from feast.types import Float32, Int32, Int64
+
+driver = Entity(
+    name="driver_id",
+    description="driver id",
+)
+
+driver_hourly_stats_view = FeatureView(
+    name="driver_hourly_stats",
+    entities=[driver],
+    ttl=timedelta(days=1),
+    schema=[
+        Field(name="conv_rate", dtype=Float32),
+        Field(name="acc_rate", dtype=Float32),
+        Field(name="avg_daily_trips", dtype=Int64),
+        Field(name="driver_id", dtype=Int32),
+    ],
+    online=True,
+    source=KafkaSource(
+        name="kafka",
+        timestamp_field="event_timestamp",
+        kafka_bootstrap_servers="",
+        message_format=AvroFormat(""),
+        topic="topic",
+        batch_source=FileSource(
+            path="data/driver_stats.parquet",  # Fake path
+            timestamp_field="event_timestamp",
+            created_timestamp_column="created",
+        ),
+        watermark_delay_threshold=timedelta(days=1),
+    ),
+    tags={},
+)

sdk/python/tests/example_repos/example_feature_repo_with_stream_source.py

@@ -0,0 +1,18 @@
+from datetime import timedelta
+
+from feast import FileSource, KafkaSource
+from feast.data_format import AvroFormat
+
+stream_source = KafkaSource(
+    name="kafka",
+    timestamp_field="event_timestamp",
+    kafka_bootstrap_servers="",
+    message_format=AvroFormat(""),
+    topic="topic",
+    batch_source=FileSource(
+        path="data/driver_stats.parquet",  # Fake path
+        timestamp_field="event_timestamp",
+        created_timestamp_column="created",
+    ),
+    watermark_delay_threshold=timedelta(days=1),
+)