Kelvin-programmer/rag-chatbot

1"""Tests for the RAG engine (uses mocked models for CI speed)."""2 3from unittest.mock import MagicMock, patch4 5import pytest6 7from src.config import Settings8from src.rag_engine import PROMPT_TEMPLATE, RAGEngine9 10 11class TestPromptTemplate:12    def test_has_placeholders(self):13        assert "{context}" in PROMPT_TEMPLATE14        assert "{question}" in PROMPT_TEMPLATE15 16    def test_renders_correctly(self):17        rendered = PROMPT_TEMPLATE.format(context="ctx", question="q")18        assert "ctx" in rendered19        assert "q" in rendered20 21 22class TestRAGEngineQuery:23    @pytest.fixture24    def mock_engine(self, tmp_path):25        settings = Settings(26            embedding_model="all-MiniLM-L12-v2",27            llm_model="google/flan-t5-base",28            vector_store_path=str(tmp_path / "vs"),29        )30        with (31            patch("src.rag_engine.hf_pipeline") as mock_pipe,32            patch("src.rag_engine.VectorStore") as mock_vs_cls,33        ):34            mock_pipe.return_value = MagicMock(35                return_value=[{"generated_text": "Test answer"}]36            )37            mock_vs = MagicMock()38            mock_vs.count = 539            mock_vs.search.return_value = [40                {"text": "Relevant chunk 1", "score": 0.85, "metadata": {"page": 1}},41                {"text": "Relevant chunk 2", "score": 0.72, "metadata": {"page": 2}},42            ]43            mock_vs_cls.return_value = mock_vs44 45            engine = RAGEngine(settings)46            yield engine47 48    def test_query_returns_answer_and_sources(self, mock_engine):49        result = mock_engine.query("What is the policy?")50        assert "answer" in result51        assert "sources" in result52        assert len(result["sources"]) > 053 54    def test_empty_store_returns_fallback(self, tmp_path):55        settings = Settings(56            embedding_model="all-MiniLM-L12-v2",57            llm_model="google/flan-t5-base",58            vector_store_path=str(tmp_path / "vs"),59        )60        with (61            patch("src.rag_engine.hf_pipeline"),62            patch("src.rag_engine.VectorStore") as mock_vs_cls,63        ):64            mock_vs = MagicMock()65            mock_vs.count = 066            mock_vs.search.return_value = []67            mock_vs_cls.return_value = mock_vs68 69            engine = RAGEngine(settings)70            result = engine.query("anything")71            assert "no documents" in result["answer"].lower() or "upload" in result["answer"].lower()72