Shorten and condense comments across the RAG backend, frontend, and tests for readability. Comment text only; no code, strings, identifiers, or logic changed. License headers and lint/type pragmas are preserved.
69 lines
1.9 KiB
Python
69 lines
1.9 KiB
Python
"""BM25 index lifecycle tests (skipped if bm25s is unavailable)."""
|
|
|
|
import sys
|
|
from pathlib import Path
|
|
|
|
import pytest
|
|
|
|
REPO_ROOT = Path(__file__).resolve().parents[2]
|
|
STUDIO_BACKEND = REPO_ROOT / "studio" / "backend"
|
|
if str(STUDIO_BACKEND) not in sys.path:
|
|
sys.path.insert(0, str(STUDIO_BACKEND))
|
|
|
|
pytest.importorskip("bm25s")
|
|
|
|
|
|
@pytest.fixture
|
|
def isolated_bm25_root(tmp_path, monkeypatch):
|
|
from utils.paths import storage_roots
|
|
|
|
monkeypatch.setenv("UNSLOTH_STUDIO_HOME", str(tmp_path))
|
|
# Reset module cache between tests.
|
|
from core.rag import bm25
|
|
|
|
bm25._cache.clear()
|
|
return tmp_path
|
|
|
|
|
|
def test_bm25_index_search_roundtrip(isolated_bm25_root):
|
|
from core.rag import bm25
|
|
|
|
scope = "kb_test"
|
|
chunks = [
|
|
{"id": "c1", "text": "the quick brown fox jumps over the lazy dog"},
|
|
{"id": "c2", "text": "machine learning models predict outputs from inputs"},
|
|
{"id": "c3", "text": "fox terriers are small dogs"},
|
|
]
|
|
bm25.rebuild_index(scope, chunks)
|
|
results = bm25.search(scope, "fox", k = 3)
|
|
ids = [cid for cid, _ in results]
|
|
assert "c1" in ids
|
|
assert "c3" in ids
|
|
|
|
|
|
def test_bm25_empty_returns_empty(isolated_bm25_root):
|
|
from core.rag import bm25
|
|
|
|
assert bm25.search("kb_nonexistent", "anything", k = 5) == []
|
|
|
|
|
|
def test_bm25_delete_scope(isolated_bm25_root):
|
|
from core.rag import bm25
|
|
|
|
scope = "kb_del"
|
|
chunks = [{"id": "a", "text": "alpha beta gamma"}]
|
|
bm25.rebuild_index(scope, chunks)
|
|
assert bm25.search(scope, "alpha", k = 1)
|
|
bm25.delete_scope(scope)
|
|
assert bm25.search(scope, "alpha", k = 1) == []
|
|
|
|
|
|
def test_bm25_rebuild_replaces_old_corpus(isolated_bm25_root):
|
|
from core.rag import bm25
|
|
|
|
scope = "kb_replace"
|
|
bm25.rebuild_index(scope, [{"id": "old", "text": "alpha beta"}])
|
|
bm25.rebuild_index(scope, [{"id": "new", "text": "gamma delta"}])
|
|
results = bm25.search(scope, "alpha", k = 5)
|
|
ids = [cid for cid, _ in results]
|
|
assert "old" not in ids
|