test_qdrant_add_texts_stores_ids() — langchain Function Reference
Architecture documentation for the test_qdrant_add_texts_stores_ids() function in test_add_texts.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD ee794b45_eb17_85cd_1566_40c803b298ee["test_qdrant_add_texts_stores_ids()"] cfb482fe_7880_43f9_b1d4_600dadb066ca["test_add_texts.py"] ee794b45_eb17_85cd_1566_40c803b298ee -->|defined in| cfb482fe_7880_43f9_b1d4_600dadb066ca style ee794b45_eb17_85cd_1566_40c803b298ee fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/qdrant/tests/integration_tests/qdrant_vector_store/test_add_texts.py lines 113–143
def test_qdrant_add_texts_stores_ids(
location: str,
vector_name: str,
retrieval_mode: RetrievalMode,
sparse_vector_name: str,
batch_size: int,
) -> None:
"""Test end to end Qdrant.add_texts stores provided ids."""
ids: list[str | int] = [
"fa38d572-4c31-4579-aedc-1960d79df6df",
432,
432145435,
]
collection_name = uuid.uuid4().hex
vec_store = QdrantVectorStore.from_texts(
["abc", "def", "ghi"],
ConsistentFakeEmbeddings(),
ids=ids,
collection_name=collection_name,
location=location,
vector_name=vector_name,
retrieval_mode=retrieval_mode,
sparse_vector_name=sparse_vector_name,
sparse_embedding=ConsistentFakeSparseEmbeddings(),
batch_size=batch_size,
)
assert vec_store.client.count(collection_name).count == 3
stored_ids = [point.id for point in vec_store.client.scroll(collection_name)[0]]
assert set(ids) == set(stored_ids)
assert len(vec_store.get_by_ids(ids)) == 3
Domain
Subdomains
Source
Frequently Asked Questions
What does test_qdrant_add_texts_stores_ids() do?
test_qdrant_add_texts_stores_ids() is a function in the langchain codebase, defined in libs/partners/qdrant/tests/integration_tests/qdrant_vector_store/test_add_texts.py.
Where is test_qdrant_add_texts_stores_ids() defined?
test_qdrant_add_texts_stores_ids() is defined in libs/partners/qdrant/tests/integration_tests/qdrant_vector_store/test_add_texts.py at line 113.
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