phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-10-04 12:07:34 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

feat: Updating Rag Tool to use Files API and Vector Stores API (#3344)
Some checks failed
SqlStore Integration Tests / test-postgres (3.13) (push) Failing after 1s
Details
Python Package Build Test / build (3.12) (push) Failing after 1s
Details
Test External Providers Installed via Module / test-external-providers-from-module (venv) (push) Has been skipped
Details
SqlStore Integration Tests / test-postgres (3.12) (push) Failing after 18s
Details
Update ReadTheDocs / update-readthedocs (push) Failing after 15s
Details
Python Package Build Test / build (3.13) (push) Failing after 19s
Details
Test External API and Providers / test-external (venv) (push) Failing after 17s
Details
Integration Auth Tests / test-matrix (oauth2_token) (push) Failing after 23s
Details
Integration Tests (Replay) / Integration Tests (, , , client=, ) (push) Failing after 22s
Details
Unit Tests / unit-tests (3.12) (push) Failing after 19s
Details
Unit Tests / unit-tests (3.13) (push) Failing after 19s
Details
Vector IO Integration Tests / test-matrix (push) Failing after 23s
Details
UI Tests / ui-tests (22) (push) Successful in 44s
Details
Pre-commit / pre-commit (push) Successful in 1m32s
Details

Browse source
This commit is contained in:
Francisco Arceo 2025-09-06 07:26:34 -06:00 • committed by GitHub
parent 47b640370e
commit 7cd1c2c238
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
6 changed files with 93 additions and 39 deletions
Download patch file Download diff file Expand all files Collapse all files

8
tests/unit/rag/test_rag_query.py
View file

@ -19,12 +19,16 @@ from llama_stack.providers.inline.tool_runtime.rag.memory import MemoryToolRunti
class TestRagQuery:
async def test_query_raises_on_empty_vector_db_ids(self):
rag_tool = MemoryToolRuntimeImpl(config=MagicMock(), vector_io_api=MagicMock(), inference_api=MagicMock())
rag_tool = MemoryToolRuntimeImpl(
config=MagicMock(), vector_io_api=MagicMock(), inference_api=MagicMock(), files_api=MagicMock()
)
with pytest.raises(ValueError):
await rag_tool.query(content=MagicMock(), vector_db_ids=[])
async def test_query_chunk_metadata_handling(self):
rag_tool = MemoryToolRuntimeImpl(config=MagicMock(), vector_io_api=MagicMock(), inference_api=MagicMock())
rag_tool = MemoryToolRuntimeImpl(
config=MagicMock(), vector_io_api=MagicMock(), inference_api=MagicMock(), files_api=MagicMock()
)
content = "test query content"
vector_db_ids = ["db1"]