Files
2dph/bin/tools/test_kblib.py
T
eSlider 8781c0c3eb refactor(tools): bin/{subject}/{method} layout; Go serve+watch modules
Move serve/ (module) -> bin/server, tools/ -> bin/tools, replace bin/kb-watch
bash with bin/watch Go package; self-executing Go shebangs bin/serve.go and
bin/kb/watch.go; Docker + CI + git/import + docs repointed. Multi-stage image
builds static serve+watch binaries (no Go runtime in container).
2026-08-11 09:52:20 +01:00

73 lines
2.9 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.create_fts_and_vector(self.conn, force=True)
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.create_fts_and_vector(self.conn, force=True)
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_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})
if __name__ == "__main__":
unittest.main()