- New: src/rag/engine/ — in-process hybrid search (FTS5 BM25 + sqlite-vec + LLM rerank) - New: src/rag/qmd/ — compatibility layer (qmd_query, qmd_chat, qmd_chat_stream, qmd_index_*) - New: src/ingest/stub_writer.py — .md stubs for binary files (videos, archives) - New: scripts/deploy.sh + scripts/pull_models.sh + Makefile + .env.example - Removed: LightRAG, sentence-transformers embedding via separate package, rag_standalone/ - Removed: @nousresearch/qmd npm dep (package not published); Node.js from Dockerfile - Updated: tests/ (46 passed), docker-compose, .dockerignore, config.yaml, README Engine: in-process Python (no daemon, no npm), sentence-transformers 384-dim, RRF fusion (k=60), BM25 + vector with numpy fallback. WebSocket API unchanged. Deploy: 'git clone' + 'make init' + 'make pull-models MODELS_SOURCE=...' + 'make up'. Models (5.83 GB) live outside git; pulled via rsync from dev host.
178 lines
6.8 KiB
Python
178 lines
6.8 KiB
Python
"""Real-data tests for native RAG engine (no mocks, in-process).
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Использует sentence-transformers реальную модель (~50 MB скачивается при первом
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запуске). Время выполнения: ~10 сек (cold) + ~1 сек на warm-кейсы.
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"""
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import tempfile
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import unittest
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from pathlib import Path
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from src.rag.engine import Engine, get_or_create_engine, invalidate_engine
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from src.rag.engine.chunker import chunk_text
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from src.rag.engine.bm25 import bm25_search
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from src.rag.engine.vector import vector_search
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from src.rag.engine.hybrid import rrf_fuse
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SAMPLE_DOCS = {
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"plan.md": (
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"# План 3-го этажа\n\n"
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"План 3-го этажа жилого дома. Оси: А, Б, В, Г. Размеры между осями А и Б: 5400 мм.\n"
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"Квартиры: 301, 302, 303. Кухни объединены с гостиными. Санузлы раздельные.\n\n"
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"## Отделка\n"
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"Стены — штукатурка, покраска. Полы — ламинат. Потолки — гипсокартон.\n"
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),
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"auth.md": (
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"# Авторизация\n\n"
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"Авторизация работает через JWT-токены с TTL 24 часа.\n"
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"Refresh-токен живёт 30 дней. Логика валидации в middleware.\n"
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"Сессии хранятся в Redis, ключ — sha256 от user_id + jti.\n"
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),
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"schedule.md": (
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"# График работ\n\n"
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"Строительство начинается 1 июня 2026. Окончание — 30 ноября 2027.\n"
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"Этапы: фундамент → стены → кровля → MEP → отделка.\n"
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),
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}
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class ChunkerTestCase(unittest.TestCase):
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def test_chunks_short_text_returns_one(self):
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chunks = chunk_text("Привет, мир.", max_chars=100)
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self.assertEqual(len(chunks), 1)
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self.assertIn("Привет", chunks[0].text)
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def test_chunks_long_text_splits_with_overlap(self):
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text = "Абзац.\n\n" * 200
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chunks = chunk_text(text, max_chars=400, overlap=60)
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self.assertGreater(len(chunks), 1)
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for c in chunks:
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self.assertLessEqual(len(c.text), 1000) # с overlap
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def test_empty_text_returns_empty(self):
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self.assertEqual(chunk_text(""), [])
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self.assertEqual(chunk_text(" \n\n "), [])
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class EngineIngestTestCase(unittest.TestCase):
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def setUp(self):
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self._tmp = tempfile.TemporaryDirectory()
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self.tmp = Path(self._tmp.name)
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self.engines = []
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def _make_engine(self, name: str = "coll1") -> Engine:
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eng = Engine.from_paths(self.tmp / name)
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self.engines.append(eng)
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return eng
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def tearDown(self):
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for eng in self.engines:
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eng.close()
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for db_path in self.tmp.rglob("index.sqlite"):
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invalidate_engine(db_path.parent)
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import time
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time.sleep(0.05)
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try:
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self._tmp.cleanup()
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except (PermissionError, OSError):
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pass
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def test_index_text_returns_chunks_and_vectors(self):
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eng = self._make_engine()
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result = eng.index_text(SAMPLE_DOCS["plan.md"], source_path="plan.md")
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self.assertFalse(result.skipped)
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self.assertGreaterEqual(result.chunks_indexed, 1)
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self.assertEqual(result.vectors_indexed, result.chunks_indexed)
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status = eng.status()
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self.assertGreaterEqual(status["chunks"], 1)
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self.assertIn(status["engine"], ("sqlite-vec", "numpy"))
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def test_index_text_is_idempotent(self):
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eng = self._make_engine()
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r1 = eng.index_text(SAMPLE_DOCS["plan.md"], source_path="plan.md")
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r2 = eng.index_text(SAMPLE_DOCS["plan.md"], source_path="plan.md")
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self.assertFalse(r1.skipped)
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self.assertTrue(r2.skipped)
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def test_index_file_change_detected(self):
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eng = self._make_engine()
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f = self.tmp / "x.md"
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f.write_text("first version", encoding="utf-8")
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r1 = eng.index_file(f)
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self.assertFalse(r1.skipped)
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f.write_text("second version with new content", encoding="utf-8")
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r2 = eng.index_file(f)
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self.assertFalse(r2.skipped)
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def test_index_many_files(self):
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eng = self._make_engine()
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for name, text in SAMPLE_DOCS.items():
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eng.index_text(text, source_path=name)
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status = eng.status()
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self.assertEqual(status["chunks"], 3)
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self.assertEqual(status["files"], 3)
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class EngineSearchTestCase(unittest.TestCase):
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"""Реальные тесты с warm-embedding."""
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@classmethod
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def setUpClass(cls):
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cls._tmp = tempfile.TemporaryDirectory()
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cls.tmp = Path(cls._tmp.name)
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cls.eng = Engine.from_paths(cls.tmp / "coll_search")
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for name, text in SAMPLE_DOCS.items():
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cls.eng.index_text(text, source_path=name)
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cls.eng.warmup()
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@classmethod
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def tearDownClass(cls):
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cls.eng.close()
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invalidate_engine(cls.tmp / "coll_search")
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import time
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time.sleep(0.05)
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try:
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cls._tmp.cleanup()
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except (PermissionError, OSError):
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pass
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def test_bm25_search_finds_keywords(self):
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hits = self.eng.search("авторизация JWT")
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self.assertGreater(len(hits), 0)
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self.assertEqual(hits[0].file_path, "auth.md")
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def test_bm25_search_empty_query(self):
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self.assertEqual(self.eng.search(""), [])
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self.assertEqual(self.eng.search(" "), [])
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def test_vector_search_finds_semantic(self):
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# "как устроена авторизация" — семантически близко к "авторизация"
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hits = self.eng.vsearch("как устроена авторизация")
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self.assertGreater(len(hits), 0)
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# top hit должен быть auth.md или schedule.md (есть слово "логика")
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paths = [h.file_path for h in hits]
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self.assertTrue(any("auth" in p for p in paths))
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def test_hybrid_query_uses_rrf(self):
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hits = self.eng.query("квартиры 3 этаж", limit=3)
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self.assertGreater(len(hits), 0)
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self.assertEqual(hits[0].file_path, "plan.md")
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def test_get_returns_full_document(self):
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hits = self.eng.search("авторизация")
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full = self.eng.get(hits[0].doc_id)
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self.assertIn("JWT", full)
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self.assertIn("TTL", full)
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def test_status_reports_engine(self):
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status = self.eng.status()
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self.assertEqual(status["files"], 3)
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self.assertGreaterEqual(status["chunks"], 3)
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self.assertEqual(status["embedding_dim"], 384)
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self.assertTrue(status["embedding_loaded"])
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if __name__ == "__main__":
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unittest.main()
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