mem0/tests/embedchain/test_query.py

import os
import unittest
from unittest.mock import MagicMock, patch

from embedchain import App
from embedchain.config import AppConfig, QueryConfig


class TestApp(unittest.TestCase):
    os.environ["OPENAI_API_KEY"] = "test_key"

    def setUp(self):
        self.app = App(config=AppConfig(collect_metrics=False))

    @patch("chromadb.api.models.Collection.Collection.add", MagicMock)
    def test_query(self):
        """
        This test checks the functionality of the 'query' method in the App class.
        It simulates a scenario where the 'retrieve_from_database' method returns a context list and
        'get_llm_model_answer' returns an expected answer string.

        The 'query' method is expected to call 'retrieve_from_database' and 'get_llm_model_answer' methods
        appropriately and return the right answer.

        Key assumptions tested:
        - 'retrieve_from_database' method is called exactly once with arguments: "Test query" and an instance of
            QueryConfig.
        - 'get_llm_model_answer' is called exactly once. The specific arguments are not checked in this test.
        - 'query' method returns the value it received from 'get_llm_model_answer'.

        The test isolates the 'query' method behavior by mocking out 'retrieve_from_database' and
        'get_llm_model_answer' methods.
        """
        with patch.object(self.app, "retrieve_from_database") as mock_retrieve:
            mock_retrieve.return_value = ["Test context"]
            with patch.object(self.app, "get_llm_model_answer") as mock_answer:
                mock_answer.return_value = "Test answer"
                answer = self.app.query("Test query")

        self.assertEqual(answer, "Test answer")
        self.assertEqual(mock_retrieve.call_args[0][0], "Test query")
        self.assertIsInstance(mock_retrieve.call_args[0][1], QueryConfig)
        mock_answer.assert_called_once()

    @patch("openai.ChatCompletion.create")
    def test_query_config_app_passing(self, mock_create):
        mock_create.return_value = {"choices": [{"message": {"content": "response"}}]}  # Mock response

        config = AppConfig()
        chat_config = QueryConfig(system_prompt="Test system prompt")
        app = App(config=config)

        app.get_llm_model_answer("Test query", chat_config)

        # Test system_prompt: Check that the 'create' method was called with the correct 'messages' argument
        messages_arg = mock_create.call_args.kwargs["messages"]
        self.assertEqual(messages_arg[0]["role"], "system")
        self.assertEqual(messages_arg[0]["content"], "Test system prompt")

        # TODO: Add tests for other config variables

    @patch("openai.ChatCompletion.create")
    def test_app_passing(self, mock_create):
        mock_create.return_value = {"choices": [{"message": {"content": "response"}}]}  # Mock response

        config = AppConfig()
        chat_config = QueryConfig()
        app = App(config=config, system_prompt="Test system prompt")

        app.get_llm_model_answer("Test query", chat_config)

        # Test system_prompt: Check that the 'create' method was called with the correct 'messages' argument
        messages_arg = mock_create.call_args.kwargs["messages"]
        self.assertEqual(messages_arg[0]["role"], "system")
        self.assertEqual(messages_arg[0]["content"], "Test system prompt")