80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
import os
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import tempfile
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from pathlib import Path
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from unittest.mock import Mock, patch
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import pytest
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from langchain_core.documents.base import Document
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from langchain_core.vectorstores import VectorStoreRetriever
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from reviewllama.vector_store import create_retriever, documents_from_path_list
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@pytest.fixture
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def temp_files():
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"""Create temporary test files"""
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temp_dir = tempfile.mkdtemp()
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files = []
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# Create test files with different content
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file_contents = [
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"This is the first test file with Python code examples.",
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"The second file contains JavaScript functions and classes.",
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"File three has documentation about testing best practices.",
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"Final file includes configuration settings and deployment info.",
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]
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for i, content in enumerate(file_contents):
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file_path = Path(temp_dir) / f"test_file_{i}.txt"
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file_path.write_text(content)
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files.append(file_path)
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yield files
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# Cleanup
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for file_path in files:
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file_path.unlink()
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os.rmdir(temp_dir)
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def test_load_documents(temp_files):
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docs = documents_from_path_list(temp_files)
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assert len(docs) == 4
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assert all(isinstance(doc, Document) for doc in docs)
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assert all(doc.page_content for doc in docs)
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assert all(doc.metadata.get("source") for doc in docs)
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@patch("reviewllama.vector_store.OllamaEmbeddings")
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@patch("reviewllama.vector_store.FAISS")
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@patch("reviewllama.vector_store.documents_from_path_list")
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def test_create_retriever(
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mock_docs_from_list, mock_faiss, mock_embeddings, ollama_config
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):
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"""Test successful retriever creation"""
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# Setup mocks
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mock_docs = [Document(page_content="test", metadata={"source": "test.txt"})]
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mock_docs_from_list.return_value = mock_docs
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mock_embedding_instance = Mock()
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mock_embeddings.return_value = mock_embedding_instance
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mock_vectorstore = Mock()
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mock_retriever = Mock(spec=VectorStoreRetriever)
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mock_vectorstore.as_retriever.return_value = mock_retriever
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mock_faiss.from_documents.return_value = mock_vectorstore
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# Test
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result = create_retriever(["test.txt"], ollama_config)
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# Assertions
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assert result == mock_retriever
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mock_embeddings.assert_called_once_with(
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model=ollama_config.embedding_model, base_url=ollama_config.base_url
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)
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mock_docs_from_list.assert_called_once_with(["test.txt"])
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mock_faiss.from_documents.assert_called_once_with(
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mock_docs, mock_embedding_instance
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)
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mock_vectorstore.as_retriever.assert_called_once()
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