| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150 | import osfrom typing import Generatorimport pytestfrom core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDeltafrom core.model_runtime.entities.message_entities import (AssistantPromptMessage, PromptMessageTool,                                                          SystemPromptMessage, UserPromptMessage)from core.model_runtime.errors.validate import CredentialsValidateFailedErrorfrom core.model_runtime.model_providers.zhipuai.llm.llm import ZhipuAILargeLanguageModeldef test_validate_credentials():    model = ZhipuAILargeLanguageModel()    with pytest.raises(CredentialsValidateFailedError):        model.validate_credentials(            model='chatglm_turbo',            credentials={                'api_key': 'invalid_key'            }        )    model.validate_credentials(        model='chatglm_turbo',        credentials={            'api_key': os.environ.get('ZHIPUAI_API_KEY')        }    )def test_invoke_model():    model = ZhipuAILargeLanguageModel()    response = model.invoke(        model='chatglm_turbo',        credentials={            'api_key': os.environ.get('ZHIPUAI_API_KEY')        },        prompt_messages=[            UserPromptMessage(                content='Who are you?'            )        ],        model_parameters={            'temperature': 0.9,            'top_p': 0.7        },        stop=['How'],        stream=False,        user="abc-123"    )    assert isinstance(response, LLMResult)    assert len(response.message.content) > 0def test_invoke_stream_model():    model = ZhipuAILargeLanguageModel()    response = model.invoke(        model='chatglm_turbo',        credentials={            'api_key': os.environ.get('ZHIPUAI_API_KEY')        },        prompt_messages=[            UserPromptMessage(                content='Hello World!'            )        ],        model_parameters={            'temperature': 0.9,            'top_p': 0.7        },        stream=True,        user="abc-123"    )    assert isinstance(response, Generator)    for chunk in response:        assert isinstance(chunk, LLMResultChunk)        assert isinstance(chunk.delta, LLMResultChunkDelta)        assert isinstance(chunk.delta.message, AssistantPromptMessage)        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else Truedef test_get_num_tokens():    model = ZhipuAILargeLanguageModel()    num_tokens = model.get_num_tokens(        model='chatglm_turbo',        credentials={            'api_key': os.environ.get('ZHIPUAI_API_KEY')        },        prompt_messages=[            SystemPromptMessage(                content='You are a helpful AI assistant.',            ),            UserPromptMessage(                content='Hello World!'            )        ]    )    assert num_tokens == 14def test_get_tools_num_tokens():    model = ZhipuAILargeLanguageModel()    num_tokens = model.get_num_tokens(        model='tools',        credentials={            'api_key': os.environ.get('ZHIPUAI_API_KEY')        },        tools=[            PromptMessageTool(                name='get_current_weather',                description='Get the current weather in a given location',                parameters={                    "type": "object",                    "properties": {                        "location": {                        "type": "string",                            "description": "The city and state e.g. San Francisco, CA"                        },                        "unit": {                            "type": "string",                            "enum": [                                "c",                                "f"                            ]                        }                    },                    "required": [                        "location"                    ]                }            )        ],        prompt_messages=[            SystemPromptMessage(                content='You are a helpful AI assistant.',            ),            UserPromptMessage(                content='Hello World!'            )        ]    )    assert num_tokens == 108
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