Rename embedchain to mem0 and open sourcing code for long term memory (#1474)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

embedchain/tests/llm/test_azure_openai.py

@@ -0,0 +1,87 @@
+from unittest.mock import MagicMock, patch
+
+import pytest
+from langchain.schema import HumanMessage, SystemMessage
+
+from embedchain.config import BaseLlmConfig
+from embedchain.llm.azure_openai import AzureOpenAILlm
+
+
+@pytest.fixture
+def azure_openai_llm():
+    config = BaseLlmConfig(
+        deployment_name="azure_deployment",
+        temperature=0.7,
+        model="gpt-3.5-turbo",
+        max_tokens=50,
+        system_prompt="System Prompt",
+    )
+    return AzureOpenAILlm(config)
+
+
+def test_get_llm_model_answer(azure_openai_llm):
+    with patch.object(AzureOpenAILlm, "_get_answer", return_value="Test Response") as mock_method:
+        prompt = "Test Prompt"
+        response = azure_openai_llm.get_llm_model_answer(prompt)
+        assert response == "Test Response"
+        mock_method.assert_called_once_with(prompt=prompt, config=azure_openai_llm.config)
+
+
+def test_get_answer(azure_openai_llm):
+    with patch("langchain_openai.AzureChatOpenAI") as mock_chat:
+        mock_chat_instance = mock_chat.return_value
+        mock_chat_instance.invoke.return_value = MagicMock(content="Test Response")
+
+        prompt = "Test Prompt"
+        response = azure_openai_llm._get_answer(prompt, azure_openai_llm.config)
+
+        assert response == "Test Response"
+        mock_chat.assert_called_once_with(
+            deployment_name=azure_openai_llm.config.deployment_name,
+            openai_api_version="2024-02-01",
+            model_name=azure_openai_llm.config.model or "gpt-3.5-turbo",
+            temperature=azure_openai_llm.config.temperature,
+            max_tokens=azure_openai_llm.config.max_tokens,
+            streaming=azure_openai_llm.config.stream,
+        )
+
+
+def test_get_messages(azure_openai_llm):
+    prompt = "Test Prompt"
+    system_prompt = "Test System Prompt"
+    messages = azure_openai_llm._get_messages(prompt, system_prompt)
+    assert messages == [
+        SystemMessage(content="Test System Prompt", additional_kwargs={}),
+        HumanMessage(content="Test Prompt", additional_kwargs={}, example=False),
+    ]
+
+
+def test_when_no_deployment_name_provided():
+    config = BaseLlmConfig(temperature=0.7, model="gpt-3.5-turbo", max_tokens=50, system_prompt="System Prompt")
+    with pytest.raises(ValueError):
+        llm = AzureOpenAILlm(config)
+        llm.get_llm_model_answer("Test Prompt")
+
+
+def test_with_api_version():
+    config = BaseLlmConfig(
+        deployment_name="azure_deployment",
+        temperature=0.7,
+        model="gpt-3.5-turbo",
+        max_tokens=50,
+        system_prompt="System Prompt",
+        api_version="2024-02-01",
+    )
+
+    with patch("langchain_openai.AzureChatOpenAI") as mock_chat:
+        llm = AzureOpenAILlm(config)
+        llm.get_llm_model_answer("Test Prompt")
+
+        mock_chat.assert_called_once_with(
+            deployment_name="azure_deployment",
+            openai_api_version="2024-02-01",
+            model_name="gpt-3.5-turbo",
+            temperature=0.7,
+            max_tokens=50,
+            streaming=False,
+        )