Files
2dph/bin/tools/test_kblib.py
T
eSlider 9a32dce0ca
Tests / Test (push) Skipped
Tests / Release (semver) (push) Skipped
Tests / Test (pull_request) Failing after 3s
Tests / Release (semver) (pull_request) Skipped
feat: search --hop walks FROM_FILE to Person.
Parser no longer errors; hop 1 returns File, hop 3 reaches Person.
Rebuild writes Leaf-[:FROM_FILE]->File so the walk is not empty
on a fresh index (Gitea #17).
2026-08-14 10:48:22 +01:00

200 lines
8.5 KiB
Python

import os
import sys
import tempfile
import unittest
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent))
import kblib # noqa: E402
def make_emb(value: float) -> list[float]:
vec = [0.0] * kblib.EMBED_DIM
vec[0] = value
return vec
class KblibTest(unittest.TestCase):
def setUp(self):
self.dir = tempfile.mkdtemp()
self.dbpath = os.path.join(self.dir, "kb.lbug")
self.db, self.conn = kblib.connect(self.dbpath, read_only=False)
kblib.init_schema(self.conn)
def tearDown(self):
self.conn.close()
self.db.close()
def test_leaf_id_is_stable(self):
self.assertEqual(kblib.leaf_id("abc", "src"), kblib.leaf_id("abc", "src"))
self.assertNotEqual(kblib.leaf_id("abc", "src"), kblib.leaf_id("abd", "src"))
def test_upsert_roundtrip(self):
kblib.upsert_leaf(self.conn, text="the quick brown fox", root="info",
confidence="confirmed", source="s", source_rev="r1",
how="test", loc="/tmp", type_="reference",
embedding=make_emb(1.0))
kblib.ensure_indexes(self.conn)
hits = kblib.query_fts(self.conn, "fox", 5)
self.assertEqual(len(hits), 1)
self.assertEqual(hits[0]["root"], "info")
def test_hybrid_ranks_vector_match(self):
kblib.upsert_leaf(self.conn, text="the quick brown fox", root="info",
confidence="confirmed", source="s", source_rev="r1",
how="test", loc="/tmp", type_="reference",
embedding=make_emb(1.0))
kblib.upsert_leaf(self.conn, text="a lazy dog sleeps", root="info",
confidence="confirmed", source="s", source_rev="r1",
how="test", loc="/tmp", type_="reference",
embedding=make_emb(0.0))
kblib.ensure_indexes(self.conn)
result = kblib.hybrid_search(self.conn, make_emb(1.0), [], 5)
self.assertTrue(result)
self.assertIn("rrf", result[0])
self.assertEqual(result[0]["text"], "the quick brown fox")
def test_upsert_keeps_hnsw_queryable(self):
"""Upsert while HNSW exists must not kill vector search."""
kblib.upsert_leaf(self.conn, text="seed leaf", root="info",
confidence="confirmed", source="s", source_rev="r1",
how="test", loc="/tmp", type_="reference",
embedding=make_emb(0.2))
kblib.ensure_indexes(self.conn)
self.assertIn("Leaf_vec", kblib.leaf_index_names(self.conn))
kblib.upsert_leaf(self.conn, text="added after index", root="facts",
confidence="confirmed", source="a.md x b.md",
source_rev="r1", how="test", loc="/tmp", type_="fact",
embedding=make_emb(0.9))
hits = kblib.query_vector(self.conn, make_emb(0.9), 5)
self.assertTrue(hits)
self.assertIn("Leaf_vec", kblib.leaf_index_names(self.conn))
def test_add_after_indexes_keeps_fts_queryable(self):
"""Incremental add after FTS+HNSW must find the new leaf on both indexes."""
kblib.upsert_leaf(self.conn, text="seed fox leaf", root="info",
confidence="confirmed", source="s", source_rev="r1",
how="test", loc="/tmp", type_="reference",
embedding=make_emb(0.1))
kblib.ensure_indexes(self.conn)
ids = kblib.add_leafs(self.conn, [{
"text": "added zebra after index",
"root": "facts",
"confidence": "confirmed",
"source": "a.md x b.md",
"source_rev": "r1",
"how": "test",
"loc": "/tmp",
"type": "fact",
"embedding": make_emb(0.9),
}])
self.assertEqual(len(ids), 1)
fts = kblib.query_fts(self.conn, "zebra", 5)
self.assertTrue(fts)
self.assertIn("zebra", fts[0]["text"])
self.assertEqual(fts[0]["root"], "facts")
vec = kblib.query_vector(self.conn, make_emb(0.9), 5)
self.assertTrue(any("zebra" in h["text"] for h in vec))
fox = kblib.query_fts(self.conn, "fox", 5)
self.assertTrue(fox)
self.assertIn("fox", fox[0]["text"])
def test_add_facts_and_info_one_transaction(self):
"""D12: facts and info land in the same transaction."""
kblib.ensure_indexes(self.conn)
ids = kblib.add_leafs(self.conn, [
{
"text": "tx fact leaf two-source",
"root": "facts",
"confidence": "confirmed",
"source": "compose.yml x docker ps",
"source_rev": "r1",
"how": "test",
"loc": "/tmp",
"type": "fact",
"embedding": make_emb(0.4),
},
{
"text": "tx info narrative",
"root": "info",
"confidence": "confirmed",
"source": "note.md",
"source_rev": "r1",
"how": "test",
"loc": "/tmp",
"type": "reference",
"embedding": make_emb(0.5),
},
])
self.assertEqual(len(ids), 2)
stats = kblib.stats(self.conn)
self.assertEqual(stats["by_root"].get("facts"), 1)
self.assertEqual(stats["by_root"].get("info"), 1)
self.assertTrue(kblib.query_fts(self.conn, "two-source", 5))
self.assertTrue(kblib.query_fts(self.conn, "narrative", 5))
def test_drop_vector_then_create_raises_clear_error(self):
"""DROP INDEX leaves ghost catalog; create_fts_and_vector must raise."""
kblib.upsert_leaf(self.conn, text="seed", root="info",
confidence="confirmed", source="s", source_rev="r1",
how="test", loc="/tmp", type_="reference",
embedding=make_emb(0.1))
kblib.ensure_indexes(self.conn)
self.conn.execute("DROP INDEX IF EXISTS Leaf.Leaf_vec")
with self.assertRaises(RuntimeError) as ctx:
kblib.create_fts_and_vector(self.conn, force=True)
msg = str(ctx.exception)
self.assertIn("CREATE_VECTOR_INDEX failed", msg)
self.assertIn("--rebuild", msg)
def test_stats_counts_roots(self):
kblib.upsert_leaf(self.conn, text="a fact leaf", root="facts",
confidence="confirmed", source="s", source_rev="r1",
how="test", loc="/tmp", type_="reference",
embedding=make_emb(0.5))
kblib.upsert_leaf(self.conn, text="an info leaf", root="info",
confidence="confirmed", source="s", source_rev="r1",
how="test", loc="/tmp", type_="reference",
embedding=make_emb(0.5))
stats = kblib.stats(self.conn)
self.assertEqual(stats["total"], 2)
self.assertEqual(stats["by_root"], {"facts": 1, "info": 1})
def test_hop_1_returns_file_hop_3_reaches_person(self):
"""--hop walks FROM_FILE / HAS_VERSION / AUTHORED (Gitea #17)."""
import gitimport
lid = kblib.upsert_leaf(
self.conn, text="readme hop fixture", root="info",
confidence="confirmed", source="README.md", source_rev="r1",
how="test", loc="README.md", type_="reference",
embedding=make_emb(0.3),
)
kblib.link_from_file(self.conn, lid, "README.md", repo="sample-repo")
gitimport.index_commits(self.conn, [gitimport.Commit(
sha="a1b2c3d",
author="Ada Lovelace",
email="ada@example.com",
date="2026-08-10T12:00:00Z",
subject="feat: first commit",
files=["README.md"],
)], "sample-repo")
hop1 = kblib.hop_walk(self.conn, lid, 1)
self.assertEqual(len(hop1), 1)
self.assertEqual(hop1[0]["label"], "File")
self.assertEqual(hop1[0]["name"], "README.md")
self.assertEqual(hop1[0]["depth"], 1)
hop3 = kblib.hop_walk(self.conn, lid, 3)
labels = {n["label"] for n in hop3}
self.assertIn("File", labels)
self.assertIn("Commit", labels)
self.assertIn("Person", labels)
person = [n for n in hop3 if n["label"] == "Person"][0]
self.assertEqual(person["name"], "Ada Lovelace")
self.assertEqual(person["depth"], 3)
if __name__ == "__main__":
unittest.main()