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# What does this PR do? When running RAG in a multi vector DB setting, it can be difficult to trace where retrieved chunks originate from. This PR adds the `vector_db_id` into each chunk’s metadata, making it easier to understand which database a given chunk came from. This is helpful for debugging and for analyzing retrieval behavior of multiple DBs. Relevant code: ```python for vector_db_id, result in zip(vector_db_ids, results): for chunk, score in zip(result.chunks, result.scores): if not hasattr(chunk, "metadata") or chunk.metadata is None: chunk.metadata = {} chunk.metadata["vector_db_id"] = vector_db_id chunks.append(chunk) scores.append(score) ``` ## Test Plan * Ran Llama Stack in debug mode. * Verified that `vector_db_id` was added to each chunk’s metadata. * Confirmed that the metadata was printed in the console when using the RAG tool. --------- Co-authored-by: are-ces <cpompeia@redhat.com> Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com> |
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.. | ||
cli | ||
distribution | ||
files | ||
models | ||
prompts/prompts | ||
providers | ||
rag | ||
registry | ||
server | ||
utils | ||
__init__.py | ||
conftest.py | ||
fixtures.py | ||
README.md |
Llama Stack Unit Tests
Unit Tests
Unit tests verify individual components and functions in isolation. They are fast, reliable, and don't require external services.
Prerequisites
- Python Environment: Ensure you have Python 3.12+ installed
- uv Package Manager: Install
uv
if not already installed
You can run the unit tests by running:
./scripts/unit-tests.sh [PYTEST_ARGS]
Any additional arguments are passed to pytest. For example, you can specify a test directory, a specific test file, or any pytest flags (e.g., -vvv for verbosity). If no test directory is specified, it defaults to "tests/unit", e.g:
./scripts/unit-tests.sh tests/unit/registry/test_registry.py -vvv
If you'd like to run for a non-default version of Python (currently 3.12), pass PYTHON_VERSION
variable as follows:
source .venv/bin/activate
PYTHON_VERSION=3.13 ./scripts/unit-tests.sh
Test Configuration
- Test Discovery: Tests are automatically discovered in the
tests/unit/
directory - Async Support: Tests use
--asyncio-mode=auto
for automatic async test handling - Coverage: Tests generate coverage reports in
htmlcov/
directory - Python Version: Defaults to Python 3.12, but can be overridden with
PYTHON_VERSION
environment variable
Coverage Reports
After running tests, you can view coverage reports:
# Open HTML coverage report in browser
open htmlcov/index.html # macOS
xdg-open htmlcov/index.html # Linux
start htmlcov/index.html # Windows