- 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.
123 lines
4.6 KiB
Python
123 lines
4.6 KiB
Python
"""End-to-end тест: ingest → search → context → chat-stream.
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Не мокает движок — ставит заглушку только на OpenCode-клиент.
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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 unittest.mock import AsyncMock, MagicMock, patch
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from src.rag.qmd import indexer as qmd_indexer
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from src.rag.qmd import query as qmd_query
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SAMPLE_MEETING = (
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"# Совещание 2026-06-10\n\n"
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"Участники: Иванов, Петров, Сидорова.\n\n"
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"## Повестка\n"
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"1. Ход строительства 3-й очереди.\n"
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"2. Авторизация подрядчиков в системе.\n"
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"3. Сроки сдачи.\n\n"
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"## Решения\n"
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"- Завершить фундамент до 15 июля.\n"
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"- Выдать JWT-токены подрядчикам.\n"
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"- Срок сдачи — 30 ноября 2027.\n"
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)
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class E2ETestCase(unittest.IsolatedAsyncioTestCase):
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async def asyncSetUp(self):
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from src.rag.qmd.collections import get_project_collection_dir
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self._tmp = tempfile.TemporaryDirectory()
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self.tmp = Path(self._tmp.name)
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self.coll_dir = get_project_collection_dir("merakom", "2026", self.tmp)
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self.coll_dir.mkdir(parents=True, exist_ok=True)
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self.engines = []
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async def asyncTearDown(self):
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from src.rag.engine import invalidate_engine
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for eng in self.engines:
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eng.close()
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invalidate_engine(self.coll_dir)
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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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async def test_e2e_meeting_index_search_chat(self):
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# 1. Ingest через Engine.index_file напрямую (в self.coll_dir).
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from src.rag.engine import get_or_create_engine
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eng = get_or_create_engine(self.coll_dir)
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eng.warmup()
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self.engines.append(eng)
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body = self.tmp / "meeting.txt"
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summary = self.tmp / "meeting_summary.md"
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body.write_text(SAMPLE_MEETING, encoding="utf-8")
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summary.write_text("# Краткое\nОбсуждали строительство и JWT.", encoding="utf-8")
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r1 = eng.index_file(body)
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r2 = eng.index_file(summary)
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self.assertFalse(r1.skipped)
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self.assertFalse(r2.skipped)
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# 2. Search через тот же engine.
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hits = eng.query("сдача объекта", limit=3, use_rerank=False)
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self.assertGreater(len(hits), 0)
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# top hit должен относиться к meeting.txt
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self.assertTrue(any("meeting.txt" in h.file_path for h in hits))
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# 3. Chat-stream с подменой OpenCode.
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fake_chunks = [
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MagicMock(choices=[MagicMock(delta=MagicMock(content="Сдача "))]),
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MagicMock(choices=[MagicMock(delta=MagicMock(content="30 ноября "))]),
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MagicMock(choices=[MagicMock(delta=MagicMock(content="2027."))]),
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]
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class _FakeStream:
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def __init__(self):
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self._i = 0
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def __aiter__(self):
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return self
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async def __anext__(self):
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if self._i >= len(fake_chunks):
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raise StopAsyncIteration
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item = fake_chunks[self._i]
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self._i += 1
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return item
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async def _fake_create(*args, **kwargs):
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if kwargs.get("stream"):
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return _FakeStream()
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return MagicMock(choices=[MagicMock(message=MagicMock(content="final"))])
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with patch("src.rag.qmd.query.AsyncOpenAI") as fake_cls:
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fake_instance = MagicMock()
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fake_instance.chat = MagicMock()
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fake_instance.chat.completions = MagicMock()
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fake_instance.chat.completions.create = AsyncMock(side_effect=_fake_create)
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fake_cls.return_value = fake_instance
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events = []
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async for ev in qmd_query.qmd_chat_stream(
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question="Когда сдача?",
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org_slug="merakom",
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history=[],
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project_slug="2026",
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api_key="test-key",
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use_rerank=False,
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):
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events.append(ev)
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types = [e["type"] for e in events]
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self.assertEqual(types[0], "context")
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self.assertIn("chunk", types)
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self.assertEqual(types[-1], "done")
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self.assertEqual(events[-1]["answer"], "Сдача 30 ноября 2027.")
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# Контекст непустой и содержит source-annotation
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self.assertIn("[source:", events[0]["context"])
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