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feat: rebase and implement file API methods

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Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>
This commit is contained in:
Varsha Prasad Narsing 2025-06-25 16:59:29 -07:00
parent 918e68548f
commit dfafa5bbae
15 changed files with 212 additions and 214 deletions
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9
tests/unit/providers/vector_io/test_qdrant.py
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@ -23,6 +23,7 @@ from llama_stack.providers.inline.vector_io.qdrant.config import (
from llama_stack.providers.remote.vector_io.qdrant.qdrant import (
QdrantVectorIOAdapter,
)
from llama_stack.providers.utils.kvstore.config import SqliteKVStoreConfig
# This test is a unit test for the QdrantVectorIOAdapter class. This should only contain
# tests which are specific to this class. More general (API-level) tests should be placed in
@ -36,7 +37,9 @@ from llama_stack.providers.remote.vector_io.qdrant.qdrant import (
@pytest.fixture
def qdrant_config(tmp_path) -> InlineQdrantVectorIOConfig:
return InlineQdrantVectorIOConfig(path=os.path.join(tmp_path, "qdrant.db"))
kvstore_config = SqliteKVStoreConfig(db_name=os.path.join(tmp_path, "test_kvstore.db"))
return InlineQdrantVectorIOConfig(path=os.path.join(tmp_path, "qdrant.db"), kvstore=kvstore_config)
@pytest.fixture(scope="session")
@ -50,6 +53,10 @@ def mock_vector_db(vector_db_id) -> MagicMock:
mock_vector_db.embedding_model = "embedding_model"
mock_vector_db.identifier = vector_db_id
mock_vector_db.embedding_dimension = 384
# Mock model_dump_json to return a proper JSON string for kvstore persistence
mock_vector_db.model_dump_json.return_value = (
'{"identifier": "' + vector_db_id + '", "embedding_model": "embedding_model", "embedding_dimension": 384}'
)
return mock_vector_db