Underground-Digital/Workflow-Engine

1import os2from collections.abc import Generator3from time import sleep4 5import pytest6 7from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta8from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage9from core.model_runtime.entities.model_entities import AIModelEntity10from core.model_runtime.errors.validate import CredentialsValidateFailedError11from core.model_runtime.model_providers.minimax.llm.llm import MinimaxLargeLanguageModel12 13 14def test_predefined_models():15    model = MinimaxLargeLanguageModel()16    model_schemas = model.predefined_models()17    assert len(model_schemas) >= 118    assert isinstance(model_schemas[0], AIModelEntity)19 20 21def test_validate_credentials_for_chat_model():22    sleep(3)23    model = MinimaxLargeLanguageModel()24 25    with pytest.raises(CredentialsValidateFailedError):26        model.validate_credentials(27            model="abab5.5-chat", credentials={"minimax_api_key": "invalid_key", "minimax_group_id": "invalid_key"}28        )29 30    model.validate_credentials(31        model="abab5.5-chat",32        credentials={33            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),34            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),35        },36    )37 38 39def test_invoke_model():40    sleep(3)41    model = MinimaxLargeLanguageModel()42 43    response = model.invoke(44        model="abab5-chat",45        credentials={46            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),47            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),48        },49        prompt_messages=[UserPromptMessage(content="Hello World!")],50        model_parameters={51            "temperature": 0.7,52            "top_p": 1.0,53            "top_k": 1,54        },55        stop=["you"],56        user="abc-123",57        stream=False,58    )59 60    assert isinstance(response, LLMResult)61    assert len(response.message.content) > 062    assert response.usage.total_tokens > 063 64 65def test_invoke_stream_model():66    sleep(3)67    model = MinimaxLargeLanguageModel()68 69    response = model.invoke(70        model="abab5.5-chat",71        credentials={72            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),73            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),74        },75        prompt_messages=[UserPromptMessage(content="Hello World!")],76        model_parameters={77            "temperature": 0.7,78            "top_p": 1.0,79            "top_k": 1,80        },81        stop=["you"],82        stream=True,83        user="abc-123",84    )85 86    assert isinstance(response, Generator)87    for chunk in response:88        assert isinstance(chunk, LLMResultChunk)89        assert isinstance(chunk.delta, LLMResultChunkDelta)90        assert isinstance(chunk.delta.message, AssistantPromptMessage)91        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True92 93 94def test_invoke_with_search():95    sleep(3)96    model = MinimaxLargeLanguageModel()97 98    response = model.invoke(99        model="abab5.5-chat",100        credentials={101            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),102            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),103        },104        prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")],105        model_parameters={106            "temperature": 0.7,107            "top_p": 1.0,108            "top_k": 1,109            "plugin_web_search": True,110        },111        stop=["you"],112        stream=True,113        user="abc-123",114    )115 116    assert isinstance(response, Generator)117    total_message = ""118    for chunk in response:119        assert isinstance(chunk, LLMResultChunk)120        assert isinstance(chunk.delta, LLMResultChunkDelta)121        assert isinstance(chunk.delta.message, AssistantPromptMessage)122        total_message += chunk.delta.message.content123        assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True124 125    assert "参考资料" in total_message126 127 128def test_get_num_tokens():129    sleep(3)130    model = MinimaxLargeLanguageModel()131 132    response = model.get_num_tokens(133        model="abab5.5-chat",134        credentials={135            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),136            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),137        },138        prompt_messages=[UserPromptMessage(content="Hello World!")],139        tools=[],140    )141 142    assert isinstance(response, int)143    assert response == 30144