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fix: Fixed integration tests for qdrant and milvus by ntkathole · Pull Request #5224 · feast-dev/feast · GitHub

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fix: Fixed integration tests for qdrant and milvus #5224

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Merged
franciscojavierarceo merged 1 commit into from
Apr 5, 2025
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fix: Fixed integration tests for qdrant and milvus #5224

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4 changes: 0 additions & 4 deletions sdk/python/feast/feature_store.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2020,10 +2020,6 @@ def _retrieve_from_online_store(
"""
Search and return document features from the online document store.
"""
vector_field_metadata = _get_feature_view_vector_field_metadata(table)
if vector_field_metadata:
distance_metric = vector_field_metadata.vector_search_metric

documents = provider.retrieve_online_documents(
config=self.config,
table=table,
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8 changes: 6 additions & 2 deletions sdk/python/feast/infra/online_stores/qdrant_online_store/qdrant.py
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Original file line number Diff line number Diff line change
Expand Up @@ -115,7 +115,11 @@ def online_write_batch(
encoded_value = base64.b64encode(value.SerializeToString()).decode(
"utf-8"
)
vector_val = json.loads(get_list_val_str(value))
vector_val = get_list_val_str(value)
if vector_val:
vector = {config.online_store.vector_name: json.loads(vector_val)}
else:
vector = {}
points.append(
models.PointStruct(
id=uuid.uuid4().hex,
Expand All @@ -126,7 +130,7 @@ def online_write_batch(
"timestamp": timestamp,
"created_ts": created_ts,
},
vector={config.online_store.vector_name: vector_val},
vector=vector,
)
)

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10 changes: 7 additions & 3 deletions sdk/python/tests/integration/feature_repos/repo_configuration.py
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Expand Up @@ -565,9 +565,13 @@ def construct_test_environment(
cache_ttl_seconds=1,
)

if isinstance(
test_repo_config.online_store, dict
) and test_repo_config.online_store.get("type") in ["milvus", "pgvector", "qdrant"]:
online_store = (
test_repo_config.online_store.get("type")
if isinstance(test_repo_config.online_store, dict)
else test_repo_config.online_store
)

if online_store in ["milvus", "pgvector", "qdrant"]:
entity_key_serialization_version = 3

environment_params = {
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2 changes: 1 addition & 1 deletion sdk/python/tests/integration/online_store/test_universal_online.py
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Expand Up @@ -870,7 +870,7 @@ def test_retrieve_online_documents(environment, fake_document_data):
fs.write_to_online_store("item_embeddings", df)

documents = fs.retrieve_online_documents(
features=["item_embeddings:embedding_float"],
features=["item_embeddings:embedding_float", "item_embeddings:item_id"],
query=[1.0, 2.0],
top_k=2,
distance_metric="L2",
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