Skip to content

Commit 170e2f0

Browse files
chore: Commenting out Milvus tests and removing from integration tests configuration (#4888)
chore: Cmomenting out milvus tests and removing from integration configuration Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
1 parent ef724b6 commit 170e2f0

File tree

2 files changed

+24
-24
lines changed

2 files changed

+24
-24
lines changed

sdk/python/tests/integration/feature_repos/repo_configuration.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -163,7 +163,7 @@
163163
AVAILABLE_ONLINE_STORES["datastore"] = ("datastore", None)
164164
AVAILABLE_ONLINE_STORES["snowflake"] = (SNOWFLAKE_CONFIG, None)
165165
AVAILABLE_ONLINE_STORES["bigtable"] = (BIGTABLE_CONFIG, None)
166-
AVAILABLE_ONLINE_STORES["milvus"] = (MILVUS_CONFIG, None)
166+
# AVAILABLE_ONLINE_STORES["milvus"] = (MILVUS_CONFIG, None)
167167

168168
# Uncomment to test using private IKV account. Currently not enabled as
169169
# there is no dedicated IKV instance for CI testing and there is no

sdk/python/tests/integration/online_store/test_universal_online.py

Lines changed: 23 additions & 23 deletions
Original file line numberDiff line numberDiff line change
@@ -897,26 +897,26 @@ def test_retrieve_online_documents(environment, fake_document_data):
897897
).to_dict()
898898

899899

900-
@pytest.mark.integration
901-
@pytest.mark.universal_online_stores(only=["milvus"])
902-
def test_retrieve_online_milvus_documents(environment, fake_document_data):
903-
fs = environment.feature_store
904-
df, data_source = fake_document_data
905-
item_embeddings_feature_view = create_item_embeddings_feature_view(data_source)
906-
fs.apply([item_embeddings_feature_view, item()])
907-
fs.write_to_online_store("item_embeddings", df)
908-
documents = fs.retrieve_online_documents(
909-
feature=None,
910-
features=[
911-
"item_embeddings:embedding_float",
912-
"item_embeddings:item_id",
913-
"item_embeddings:string_feature",
914-
],
915-
query=[1.0, 2.0],
916-
top_k=2,
917-
distance_metric="L2",
918-
).to_dict()
919-
assert len(documents["embedding_float"]) == 2
920-
921-
assert len(documents["item_id"]) == 2
922-
assert documents["item_id"] == [2, 3]
900+
# @pytest.mark.integration
901+
# @pytest.mark.universal_online_stores(only=["milvus"])
902+
# def test_retrieve_online_milvus_documents(environment, fake_document_data):
903+
# fs = environment.feature_store
904+
# df, data_source = fake_document_data
905+
# item_embeddings_feature_view = create_item_embeddings_feature_view(data_source)
906+
# fs.apply([item_embeddings_feature_view, item()])
907+
# fs.write_to_online_store("item_embeddings", df)
908+
# documents = fs.retrieve_online_documents(
909+
# feature=None,
910+
# features=[
911+
# "item_embeddings:embedding_float",
912+
# "item_embeddings:item_id",
913+
# "item_embeddings:string_feature",
914+
# ],
915+
# query=[1.0, 2.0],
916+
# top_k=2,
917+
# distance_metric="L2",
918+
# ).to_dict()
919+
# assert len(documents["embedding_float"]) == 2
920+
#
921+
# assert len(documents["item_id"]) == 2
922+
# assert documents["item_id"] == [2, 3]

0 commit comments

Comments
 (0)