Files
Andy Lee fecee94af1 Experiments (#68)
* feat: finance bench

* docs: results

* chore: ignroe data README

* feat: fix financebench

* feat: laion, also required idmaps support

* style: format

* style: format

* fix: resolve ruff linting errors

- Remove unused variables in benchmark scripts
- Rename unused loop variables to follow convention

* feat: enron email bench

* experiments for running DiskANN & BM25 on Arch 4090

* style: format

* chore(ci): remove paru-bin submodule and config to fix checkout --recurse-submodules

* docs: data

* docs: data updated

* fix: as package

* fix(ci): only run pre-commit

* chore: use http url of astchunk; use group for some dev deps

* fix(ci): should checkout modules as well since `uv sync` checks

* fix(ci): run with lint only

* fix: find links to install wheels available

* CI: force local wheels in uv install step

* CI: install local wheels via file paths

* CI: pick wheels matching current Python tag

* CI: handle python tag mismatches for local wheels

* CI: use matrix python venv and set macOS deployment target

* CI: revert install step to match main

* CI: use uv group install with local wheel selection

* CI: rely on setup-uv for Python and tighten group install

* CI: install build deps with uv python interpreter

* CI: use temporary uv venv for build deps

* CI: add build venv scripts path for wheel repair
2025-09-24 11:19:04 -07:00

3.2 KiB

LEANN Tests

This directory contains automated tests for the LEANN project using pytest.

Test Files

test_readme_examples.py

Tests the examples shown in README.md:

  • The basic example code that users see first (parametrized for both HNSW and DiskANN backends)
  • Import statements work correctly
  • Different backend options (HNSW, DiskANN)
  • Different LLM configuration options (parametrized for both backends)
  • All main README examples are tested with both HNSW and DiskANN backends using pytest parametrization

test_basic.py

Basic functionality tests that verify:

  • All packages can be imported correctly
  • C++ extensions (FAISS, DiskANN) load properly
  • Basic index building and searching works for both HNSW and DiskANN backends
  • Uses parametrized tests to test both backends

test_document_rag.py

Tests the document RAG example functionality:

  • Tests with facebook/contriever embeddings
  • Tests with OpenAI embeddings (if API key is available)
  • Tests error handling with invalid parameters
  • Verifies that normalized embeddings are detected and cosine distance is used

test_diskann_partition.py

Tests DiskANN graph partitioning functionality:

  • Tests DiskANN index building without partitioning (baseline)
  • Tests automatic graph partitioning with is_recompute=True
  • Verifies that partition files are created and large files are cleaned up for storage saving
  • Tests search functionality with partitioned indices
  • Validates medoid and max_base_norm file generation and usage
  • Includes performance comparison between DiskANN (with partition) and HNSW
  • Note: These tests are skipped in CI due to hardware requirements and computation time

Running Tests

Install test dependencies:

# Using uv dependency groups (tools only)
uv sync --only-group test

Run all tests:

pytest tests/

# Or with coverage
pytest tests/ --cov=leann --cov-report=html

# Run in parallel (faster)
pytest tests/ -n auto

Run specific tests:

# Only basic tests
pytest tests/test_basic.py

# Only tests that don't require OpenAI
pytest tests/ -m "not openai"

# Skip slow tests
pytest tests/ -m "not slow"

# Run DiskANN partition tests (requires local machine, not CI)
pytest tests/test_diskann_partition.py

Run with specific backend:

# Test only HNSW backend
pytest tests/test_basic.py::test_backend_basic[hnsw]
pytest tests/test_readme_examples.py::test_readme_basic_example[hnsw]

# Test only DiskANN backend
pytest tests/test_basic.py::test_backend_basic[diskann]
pytest tests/test_readme_examples.py::test_readme_basic_example[diskann]

# All DiskANN tests (parametrized + specialized partition tests)
pytest tests/ -k diskann

CI/CD Integration

Tests are automatically run in GitHub Actions:

  1. After building wheel packages
  2. On multiple Python versions (3.9 - 3.13)
  3. On both Ubuntu and macOS
  4. Using pytest with appropriate markers and flags

pytest.ini Configuration

The pytest.ini file configures:

  • Test discovery paths
  • Default timeout (600 seconds)
  • Environment variables (HF_HUB_DISABLE_SYMLINKS, TOKENIZERS_PARALLELISM)
  • Custom markers for slow and OpenAI tests
  • Verbose output with short tracebacks

Known Issues

  • OpenAI tests are automatically skipped if no API key is provided