65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
import importlib
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import os
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import unittest
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from unittest.mock import MagicMock, patch
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from embedchain.config import BaseLlmConfig
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from embedchain.llm.hugging_face_hub import HuggingFaceHubLlm
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class TestHuggingFaceHubLlm(unittest.TestCase):
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def setUp(self):
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os.environ["HUGGINGFACEHUB_ACCESS_TOKEN"] = "test_access_token"
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self.config = BaseLlmConfig(model="google/flan-t5-xxl", max_tokens=50, temperature=0.7, top_p=0.8)
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def test_init_raises_value_error_without_api_key(self):
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os.environ.pop("HUGGINGFACEHUB_ACCESS_TOKEN")
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with self.assertRaises(ValueError):
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HuggingFaceHubLlm()
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def test_get_llm_model_answer_raises_value_error_for_system_prompt(self):
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llm = HuggingFaceHubLlm(self.config)
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llm.config.system_prompt = "system_prompt"
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with self.assertRaises(ValueError):
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llm.get_llm_model_answer("prompt")
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def test_top_p_value_within_range(self):
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config = BaseLlmConfig(top_p=1.0)
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with self.assertRaises(ValueError):
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HuggingFaceHubLlm._get_answer("test_prompt", config)
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def test_dependency_is_imported(self):
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importlib_installed = True
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try:
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importlib.import_module("huggingface_hub")
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except ImportError:
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importlib_installed = False
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self.assertTrue(importlib_installed)
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@patch("embedchain.llm.hugging_face_hub.HuggingFaceHubLlm._get_answer")
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def test_get_llm_model_answer(self, mock_get_answer):
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mock_get_answer.return_value = "Test answer"
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llm = HuggingFaceHubLlm(self.config)
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answer = llm.get_llm_model_answer("Test query")
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self.assertEqual(answer, "Test answer")
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mock_get_answer.assert_called_once()
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@patch("embedchain.llm.hugging_face_hub.HuggingFaceHub")
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def test_hugging_face_mock(self, mock_hugging_face_hub):
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mock_llm_instance = MagicMock()
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mock_llm_instance.return_value = "Test answer"
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mock_hugging_face_hub.return_value = mock_llm_instance
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llm = HuggingFaceHubLlm(self.config)
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answer = llm.get_llm_model_answer("Test query")
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self.assertEqual(answer, "Test answer")
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mock_hugging_face_hub.assert_called_once_with(
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huggingfacehub_api_token="test_access_token",
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repo_id="google/flan-t5-xxl",
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model_kwargs={"temperature": 0.7, "max_new_tokens": 50, "top_p": 0.8},
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)
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mock_llm_instance.assert_called_once_with("Test query")
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